Chapter 6 - Working with CAS Tables.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Chapter 6 - Working with CAS Tables"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import swat\n",
    "\n",
    "conn = swat.CAS('server-name.mycompany.com', 5570, 'username', 'password')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Using CASTable Objects like a DataFrame"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### CAS Table Introsspection"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's compare a Pandas DataFrame to a CASTable."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "df = pd.read_csv('/u/username/data/iris.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['sepal_length', 'sepal_width', 'petal_length', 'petal_width',\n",
       "       'species'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we'll load a CAS table."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "NOTE: Cloud Analytic Services made the file data/iris.csv available as table DATA.IRIS in caslib CASUSER(username).\n"
     ]
    }
   ],
   "source": [
    "tbl = conn.loadtable('data/iris.csv', caslib='casuser').casTable"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['sepal_length', 'sepal_width', 'petal_length', 'petal_width',\n",
       "       'species'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.columns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here are some side-by-side comparisons of methods of DataFrames and the same methods on CASTables."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sepal_length    float64\n",
       "sepal_width     float64\n",
       "petal_length    float64\n",
       "petal_width     float64\n",
       "species          object\n",
       "dtype: object"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sepal_length     double\n",
       "sepal_width      double\n",
       "petal_length     double\n",
       "petal_width      double\n",
       "species         varchar\n",
       "dtype: object"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.dtypes"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "float64    4\n",
       "object     1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.get_dtype_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "double     4\n",
       "varchar    1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.get_dtype_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Here are some other DataFrame methods being used on a CASTable object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "750"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.size"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(150, 5)"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CASTable('DATA.IRIS', caslib='CASUSER(username)')\n",
      "Data columns (total 5 columns):\n",
      "                N   Miss     Type\n",
      "sepal_length  150  False   double\n",
      "sepal_width   150  False   double\n",
      "petal_length  150  False   double\n",
      "petal_width   150  False   double\n",
      "species       150  False  varchar\n",
      "dtypes: double(4), varchar(1)\n",
      "data size: 8450\n",
      "vardata size: 1250\n",
      "memory usage: 8536\n"
     ]
    }
   ],
   "source": [
    "tbl.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.1          3.5           1.4          0.2  setosa\n",
       "1           4.9          3.0           1.4          0.2  setosa\n",
       "2           4.7          3.2           1.3          0.2  setosa"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.head(n=3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>6.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.6</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>6.3</td>\n",
       "      <td>2.8</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>6.1</td>\n",
       "      <td>2.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>1.4</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "     sepal_length  sepal_width  petal_length  petal_width    species\n",
       "146           6.4          2.8           5.6          2.2  virginica\n",
       "147           6.3          2.8           5.1          1.5  virginica\n",
       "148           6.1          2.6           5.6          1.4  virginica\n",
       "149           7.7          3.0           6.1          2.3  virginica"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.tail(n=4)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.1</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.9</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.7</td>\n",
       "      <td>1.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.6</td>\n",
       "      <td>1.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.0</td>\n",
       "      <td>1.4</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  petal_length\n",
       "0           5.1           1.4\n",
       "1           4.9           1.4\n",
       "2           4.7           1.3\n",
       "3           4.6           1.5\n",
       "4           5.0           1.4"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.head(columns=['sepal_length', 'petal_length'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Computing Simple Statistics"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.843333</td>\n",
       "      <td>3.054000</td>\n",
       "      <td>3.758667</td>\n",
       "      <td>1.198667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.828066</td>\n",
       "      <td>0.433594</td>\n",
       "      <td>1.764420</td>\n",
       "      <td>0.763161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.300000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.100000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.800000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.400000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>1.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.900000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       sepal_length  sepal_width  petal_length  petal_width\n",
       "count    150.000000   150.000000    150.000000   150.000000\n",
       "mean       5.843333     3.054000      3.758667     1.198667\n",
       "std        0.828066     0.433594      1.764420     0.763161\n",
       "min        4.300000     2.000000      1.000000     0.100000\n",
       "25%        5.100000     2.800000      1.600000     0.300000\n",
       "50%        5.800000     3.000000      4.350000     1.300000\n",
       "75%        6.400000     3.300000      5.100000     1.800000\n",
       "max        7.900000     4.400000      6.900000     2.500000"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "desc = df.describe()\n",
    "desc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(desc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.843333</td>\n",
       "      <td>3.054000</td>\n",
       "      <td>3.758667</td>\n",
       "      <td>1.198667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.828066</td>\n",
       "      <td>0.433594</td>\n",
       "      <td>1.764420</td>\n",
       "      <td>0.763161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.300000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.100000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.800000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.400000</td>\n",
       "      <td>3.300000</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>1.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.900000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       sepal_length  sepal_width  petal_length  petal_width\n",
       "count    150.000000   150.000000    150.000000   150.000000\n",
       "mean       5.843333     3.054000      3.758667     1.198667\n",
       "std        0.828066     0.433594      1.764420     0.763161\n",
       "min        4.300000     2.000000      1.000000     0.100000\n",
       "25%        5.100000     2.800000      1.600000     0.300000\n",
       "50%        5.800000     3.000000      4.350000     1.300000\n",
       "75%        6.400000     3.300000      5.100000     1.800000\n",
       "max        7.900000     4.400000      6.900000     2.500000"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "casdesc = tbl.describe()\n",
    "casdesc"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "pandas.core.frame.DataFrame"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(casdesc)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# conn.tableinfo('datasources.megacorp5m')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# %time mega.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's try the percentiles= option of the describe method."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.843333</td>\n",
       "      <td>3.054000</td>\n",
       "      <td>3.758667</td>\n",
       "      <td>1.198667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.828066</td>\n",
       "      <td>0.433594</td>\n",
       "      <td>1.764420</td>\n",
       "      <td>0.763161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.300000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30%</th>\n",
       "      <td>5.250000</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>0.400000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.800000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>4.350000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80%</th>\n",
       "      <td>6.550000</td>\n",
       "      <td>3.400000</td>\n",
       "      <td>5.350000</td>\n",
       "      <td>1.900000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.900000</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>6.900000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       sepal_length  sepal_width  petal_length  petal_width\n",
       "count    150.000000   150.000000    150.000000   150.000000\n",
       "mean       5.843333     3.054000      3.758667     1.198667\n",
       "std        0.828066     0.433594      1.764420     0.763161\n",
       "min        4.300000     2.000000      1.000000     0.100000\n",
       "30%        5.250000     2.800000      1.700000     0.400000\n",
       "50%        5.800000     3.000000      4.350000     1.300000\n",
       "80%        6.550000     3.400000      5.350000     1.900000\n",
       "max        7.900000     4.400000      6.900000     2.500000"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.describe(percentiles=[0.3, 0.8])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can also filter the analyzed variables by type."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          species\n",
       "count         150\n",
       "unique          3\n",
       "top     virginica\n",
       "freq           50"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.describe(include='character')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>35</td>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>10</td>\n",
       "      <td>26</td>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.84333</td>\n",
       "      <td>3.054</td>\n",
       "      <td>3.75867</td>\n",
       "      <td>1.19867</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.828066</td>\n",
       "      <td>0.433594</td>\n",
       "      <td>1.76442</td>\n",
       "      <td>0.763161</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.8</td>\n",
       "      <td>3</td>\n",
       "      <td>4.35</td>\n",
       "      <td>1.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.9</td>\n",
       "      <td>4.4</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       sepal_length sepal_width petal_length petal_width    species\n",
       "count           150         150          150         150        150\n",
       "unique           35          23           43          22          3\n",
       "top               5           3          1.5         0.2  virginica\n",
       "freq             10          26           14          28         50\n",
       "mean        5.84333       3.054      3.75867     1.19867        NaN\n",
       "std        0.828066    0.433594      1.76442    0.763161        NaN\n",
       "min             4.3           2            1         0.1     setosa\n",
       "25%             5.1         2.8          1.6         0.3        NaN\n",
       "50%             5.8           3         4.35         1.3        NaN\n",
       "75%             6.4         3.3          5.1         1.8        NaN\n",
       "max             7.9         4.4          6.9         2.5  virginica"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.describe(include='all')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "      <th>species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "      <td>150</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>35</td>\n",
       "      <td>23</td>\n",
       "      <td>43</td>\n",
       "      <td>22</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>10</td>\n",
       "      <td>26</td>\n",
       "      <td>14</td>\n",
       "      <td>28</td>\n",
       "      <td>50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.84333</td>\n",
       "      <td>3.054</td>\n",
       "      <td>3.75867</td>\n",
       "      <td>1.19867</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.828066</td>\n",
       "      <td>0.433594</td>\n",
       "      <td>1.76442</td>\n",
       "      <td>0.763161</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.3</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.1</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.8</td>\n",
       "      <td>3</td>\n",
       "      <td>4.35</td>\n",
       "      <td>1.3</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.4</td>\n",
       "      <td>3.3</td>\n",
       "      <td>5.1</td>\n",
       "      <td>1.8</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.9</td>\n",
       "      <td>4.4</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.5</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       sepal_length sepal_width petal_length petal_width    species\n",
       "count           150         150          150         150        150\n",
       "unique           35          23           43          22          3\n",
       "top               5           3          1.5         0.2  virginica\n",
       "freq             10          26           14          28         50\n",
       "mean        5.84333       3.054      3.75867     1.19867        NaN\n",
       "std        0.828066    0.433594      1.76442    0.763161        NaN\n",
       "min             4.3           2            1         0.1     setosa\n",
       "25%             5.1         2.8          1.6         0.3        NaN\n",
       "50%             5.8           3         4.35         1.3        NaN\n",
       "75%             6.4         3.3          5.1         1.8        NaN\n",
       "max             7.9         4.4          6.9         2.5  virginica"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.describe(include=['numeric', 'character'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The types of output can also be selected."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.500000e+02</td>\n",
       "      <td>1.500000e+02</td>\n",
       "      <td>1.500000e+02</td>\n",
       "      <td>1.500000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nmiss</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sum</th>\n",
       "      <td>8.765000e+02</td>\n",
       "      <td>4.581000e+02</td>\n",
       "      <td>5.638000e+02</td>\n",
       "      <td>1.798000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>probt</th>\n",
       "      <td>3.331256e-129</td>\n",
       "      <td>4.374977e-129</td>\n",
       "      <td>1.994305e-57</td>\n",
       "      <td>3.209704e-42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1.000000e+01</td>\n",
       "      <td>2.600000e+01</td>\n",
       "      <td>1.400000e+01</td>\n",
       "      <td>2.800000e+01</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        sepal_length    sepal_width  petal_length   petal_width\n",
       "count   1.500000e+02   1.500000e+02  1.500000e+02  1.500000e+02\n",
       "nmiss   0.000000e+00   0.000000e+00  0.000000e+00  0.000000e+00\n",
       "sum     8.765000e+02   4.581000e+02  5.638000e+02  1.798000e+02\n",
       "probt  3.331256e-129  4.374977e-129  1.994305e-57  3.209704e-42\n",
       "freq    1.000000e+01   2.600000e+01  1.400000e+01  2.800000e+01"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.describe(stats=['count', 'nmiss', 'sum', 'probt', 'freq'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_length</th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_length</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1.500000e+02</td>\n",
       "      <td>1.500000e+02</td>\n",
       "      <td>1.500000e+02</td>\n",
       "      <td>1.500000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>3.500000e+01</td>\n",
       "      <td>2.300000e+01</td>\n",
       "      <td>4.300000e+01</td>\n",
       "      <td>2.200000e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5.843333e+00</td>\n",
       "      <td>3.054000e+00</td>\n",
       "      <td>3.758667e+00</td>\n",
       "      <td>1.198667e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>8.280661e-01</td>\n",
       "      <td>4.335943e-01</td>\n",
       "      <td>1.764420e+00</td>\n",
       "      <td>7.631607e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>4.300000e+00</td>\n",
       "      <td>2.000000e+00</td>\n",
       "      <td>1.000000e+00</td>\n",
       "      <td>1.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>5.100000e+00</td>\n",
       "      <td>2.800000e+00</td>\n",
       "      <td>1.600000e+00</td>\n",
       "      <td>3.000000e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.800000e+00</td>\n",
       "      <td>3.000000e+00</td>\n",
       "      <td>4.350000e+00</td>\n",
       "      <td>1.300000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>6.400000e+00</td>\n",
       "      <td>3.300000e+00</td>\n",
       "      <td>5.100000e+00</td>\n",
       "      <td>1.800000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>7.900000e+00</td>\n",
       "      <td>4.400000e+00</td>\n",
       "      <td>6.900000e+00</td>\n",
       "      <td>2.500000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>nmiss</th>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "      <td>0.000000e+00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>sum</th>\n",
       "      <td>8.765000e+02</td>\n",
       "      <td>4.581000e+02</td>\n",
       "      <td>5.638000e+02</td>\n",
       "      <td>1.798000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>stderr</th>\n",
       "      <td>6.761132e-02</td>\n",
       "      <td>3.540283e-02</td>\n",
       "      <td>1.440643e-01</td>\n",
       "      <td>6.231181e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>var</th>\n",
       "      <td>6.856935e-01</td>\n",
       "      <td>1.880040e-01</td>\n",
       "      <td>3.113179e+00</td>\n",
       "      <td>5.824143e-01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>uss</th>\n",
       "      <td>5.223850e+03</td>\n",
       "      <td>1.427050e+03</td>\n",
       "      <td>2.583000e+03</td>\n",
       "      <td>3.023000e+02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>cv</th>\n",
       "      <td>1.417113e+01</td>\n",
       "      <td>1.419759e+01</td>\n",
       "      <td>4.694272e+01</td>\n",
       "      <td>6.366747e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>tvalue</th>\n",
       "      <td>8.642537e+01</td>\n",
       "      <td>8.626430e+01</td>\n",
       "      <td>2.609020e+01</td>\n",
       "      <td>1.923659e+01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>probt</th>\n",
       "      <td>3.331256e-129</td>\n",
       "      <td>4.374977e-129</td>\n",
       "      <td>1.994305e-57</td>\n",
       "      <td>3.209704e-42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         sepal_length    sepal_width  petal_length   petal_width\n",
       "count    1.500000e+02   1.500000e+02  1.500000e+02  1.500000e+02\n",
       "unique   3.500000e+01   2.300000e+01  4.300000e+01  2.200000e+01\n",
       "mean     5.843333e+00   3.054000e+00  3.758667e+00  1.198667e+00\n",
       "std      8.280661e-01   4.335943e-01  1.764420e+00  7.631607e-01\n",
       "min      4.300000e+00   2.000000e+00  1.000000e+00  1.000000e-01\n",
       "25%      5.100000e+00   2.800000e+00  1.600000e+00  3.000000e-01\n",
       "50%      5.800000e+00   3.000000e+00  4.350000e+00  1.300000e+00\n",
       "75%      6.400000e+00   3.300000e+00  5.100000e+00  1.800000e+00\n",
       "max      7.900000e+00   4.400000e+00  6.900000e+00  2.500000e+00\n",
       "nmiss    0.000000e+00   0.000000e+00  0.000000e+00  0.000000e+00\n",
       "sum      8.765000e+02   4.581000e+02  5.638000e+02  1.798000e+02\n",
       "stderr   6.761132e-02   3.540283e-02  1.440643e-01  6.231181e-02\n",
       "var      6.856935e-01   1.880040e-01  3.113179e+00  5.824143e-01\n",
       "uss      5.223850e+03   1.427050e+03  2.583000e+03  3.023000e+02\n",
       "cv       1.417113e+01   1.419759e+01  4.694272e+01  6.366747e+01\n",
       "tvalue   8.642537e+01   8.626430e+01  2.609020e+01  1.923659e+01\n",
       "probt   3.331256e-129  4.374977e-129  1.994305e-57  3.209704e-42"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.describe(stats='all')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Individual statistics can be run independently."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Column\n",
       "sepal_length    150\n",
       "sepal_width     150\n",
       "petal_length    150\n",
       "petal_width     150\n",
       "species         150\n",
       "Name: NMiss, dtype: int64"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.count()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sepal_length    5.843333\n",
       "sepal_width     3.054000\n",
       "petal_length    3.758667\n",
       "petal_width     1.198667\n",
       "dtype: float64"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.mean()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "sepal_length    3.331256e-129\n",
       "sepal_width     4.374977e-129\n",
       "petal_length     1.994305e-57\n",
       "petal_width      3.209704e-42\n",
       "dtype: float64"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.probt()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating Plots from CASTable Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "# from matplotlib.pyplot import show"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f367ea4b4a8>"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWcAAAEACAYAAABvSbdvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRIuzRqPR+BAtzhqNRuND/g+Ut19Pjcfd2gAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f367ea3fa90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tbl.plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f367eabc470>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAWcAAAEACAYAAABvSbdvAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f367e7aceb8>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tbl[['sepal_length', 'sepal_width']].plot()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f367eabb438>"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAEACAYAAAB4ayemAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz\nAAALEgAACxIB0t1+/AAAIABJREFUeJzsfXmcHFd17nerexZtMyONZC2WZbxDMMZbwm4cME6AsIRH\nXojfIxsvkAAvCSTmhYQEB8hCEjA78YYNwQaDbYIX2ZItWbJlW7b2dTT79Cw9M73vtXRX3ffH7Vtd\ne1d1z4wkuz7/9PN0d21dfevcc8/5zncIpRQhQoQIEeLsgHC6LyBEiBAhQvhHaLRDhAgR4ixCaLRD\nhAgR4ixCaLRDhAgR4ixCaLRDhAgR4ixCaLRDhAgR4ixCU6NNCLmLEDJPCDlqeO/fCCEDhJDDhJAH\nCSE9i3uZIUKECBEC8Odp3w3gNyzvbQfwWkrplQCGAXx+oS8sRIgQIULY0dRoU0r3AMha3nuKUqrV\nX+4FsHkRri1EiBAhQliwEDHtPwbw+AIcJ0SIECFCNEFbRpsQ8ncAqpTS+xboekKECBEihAeire5I\nCPlDAO8B8I4m24XiJiFChAjRAiilxPqeX0+b1P+xF4T8JoCbAbyfUir7OPFZ9e+LX/ziab+G8JrP\nzH/hNYfXvFTX7AY/lL/7ADwP4FJCyCQh5I8AfBvASgBPEkIOEkK+19TshwgRIkSIttE0PEIpvcnh\n7bsX4VpChAgRIkQThBWRDrj++utP9yUERnjNS4PwmpcGL+drHkoPQVGVls9DvGInCwFCCF3sc4QI\nESLE2YJfveNXcWHfhbj/d+733I4QAuqQiGyZPRIiRIgQIYIjXowjUUq0vH9otEOECBFiCZGX8uiK\ndLW8fxjTDhEixCsKeSmPOw/c6UmrWyzUtBrK1TLEmtjyMUKjHSJEiFcUjiWO4S+3/SW2jW5b8nOn\nK2kAaCsRGRrtECFCvKKQk3KoVCsYzYwu+blTlRQAQKVqy55+aLRDhAjxikJeyoOCYiQzsuTnTlaS\n+t+VaqWlY4RGO0SIEK8o5KQcAGAgObDk506WG0a7pJRaOkZotEOECPGKQl7OAwBi+diSnztVSYHU\nZZyKSrGlY4RGO0SIEK8oZMQMAHOoYqnAzykQIfS0Q4QIEcIPeDKwKLfm6baD2eIsKCgISGi0Q4QI\nEcIPUpUUBCJA0RTItabK0guKeDGOqBAFBW150giNdogQIV5RyIpZREgEERLBXGluSc89V55DVIgC\nNExEhggRIoQvZCVmtAHm+S4lUpUUBAigoKHRDhEiRAg/KMpFEEKgUQ2zpdklPXdWzAIELDzSInsk\nFIwKESLEKwpFpQgCAgqKmcLMkp2XUoqCXIBAmK9ckAstHSf0tEOECHFWoKSU8INDP2hb6KlSraCm\n1QAAw+nhhbg0XygqRUSECKpaFUCDxRIUodEOESLEWYFj88fw6a2fxqNDj7Z8DEVVoGoqFI0JNg2k\nlq4qMllOojPS2XjdIk88NNohQoQ4K5AW0xBrIk6lTrV8jLyUR2e0YTgn85MLcWm+kKwk9dAI0FD8\nc8Jfb/9r189Cox0iRIizAtzIHUsca/kYeTmvM0cAICW2FqJoBalKyhTa4RooTnhk6BHXz0KjHSJE\niNOOudIcPvyzD3sm53gMeDA92PJ5clLO5O0uZVVkspyEqqm+zp2X8q6fhUY7RIgQpx0nkyexdXir\nZ7yaG+12GB9WY1jTapBqUsvHC4JUJaUnIQHv4ppytez6WWi0Q4QIcdoxXZiGoiqeGtOcU80Fn1pB\nTspBo5r+WiACZoveXO1Lv30p9k7vbfmcHPPleZ21AgBi1bnlGKXU8z6ERjtEiBCnHdOFaahU9TRW\nc6U5CESAVJNMxi8I8nIeKlVN73lVRSqqguHMMG7de6vj50GqGmeKM4gIjXi6pDp7+GJNNIVwrAiN\ndogQIU47xrPjAICK4m60k+UkIiQCgQiYL823dJ6clDPFlZtVRfJwylRuyvbZ9tHtuOo/r/LNQJkr\nzqFD6NBfu/WJzEt503ZWhEY7RIgQpx2jWdav0au0Oy2mdU91ujDd0nlyUs7kpVNQz2PxxGiikrB9\n9uDAgxjNjvoOnSTKCZMHbYxvW6/R6JFbERrtECFCnHZM5Zkn6xWvzkk5EDDNkKmC3fP1Aydu9Eja\nvVck73JjpedRSvGLgV+Agvr2+tNiGoQQ/bVGNZPXbzwn727jhKZGmxByFyFknhBy1PDeakLIdkLI\nICFkGyGk19dVhwhRx97pvS2rnIV4+WG+zAxfTm4Yx0Ozh3QjTilTxatpNVDQlotiUmKKSaMaMFNy\nZ6Pw8Ih1rB6aO6SHN7yupayU8f1938d3XvoOslIWNbXh5QtEcGSJ5KQcKNxL9f142ncD+A3Le38D\n4ClK6WUAdgL4vI/jhAih49NbP40bf3Tj6b6MEGcApJqkJyALUoOn/bc7/hY3/OgGAMxoCkTQQwon\nEidaOle6kraFHrw0QLinLauyqTDmkcFHdC/Zq6v77thu3PzkzfjMts+gptUgq42mCwTEkaudl/Im\nhosVTY02pXQPgKzl7Q8A+GH97x8C+GCz45yJUFQFdx28q20BmhDBkaqk8FL8JcflYYiXL+4+dDeU\nmjkBN1OYwbKOZQDMyncZMYNjiWOglCJVSZl0O1otZTdqaevviQ3zdmz+GF6YekF/bbweY4jk5yd/\nrnvaXqGaWC4GSilqWg0a1UwetFvLMWuy1IpWY9rnUErnAYBSOgfgnBaPc1oxlB7Cxx/9OO45fM/p\nvpRXHApyASpV26puC3H24ZNbP4mP/uKjpvemC9O6ITWGC8rVMmpaDVkpi7SYNiXxWo1p5yV7vNho\nmH9x6he48cc36p6/cXtjcc94blyPTyfK9iQlx0RuwpXaBzgnXvNyflGMthVnpas6XZiGRjU8NfaU\n6zZFuYjPPfm5Jekll5fy+MLOL6CqOmeVFwLPTT6HHx35UeD9bn7yZk+thKDgD+e+mX2m9yml+Oy2\nz6Ikh/HulxsUVYFUk3Bg9oDp/enCtG6krEYbYN6qNYGYFt3FlrxQVIq2eLHxnKlKCiWlpBtoHh4R\niKCr8m0d3oquSJce6uDbOGEoPWTz7DncutdkxSxq1J2H3moThHlCyHpK6TwhZAMA96kGwC233KL/\nff311+P6669v8bQLC071OTR3yHWbXRO78LUXvoZL1lyCP7nmTxb1egZSA/j6C1/H6855HX738t9d\nlHPsmtiFLz/zZbz/svejr7vP1z6UUnzt+a8hJ+Vwx/vuaPsaqmpVp109NvwY/uDKP9A/y0k53Lr3\nVnRGOvGvN/xr2+cKceaAG15rBeJ0YVo3gMYqQf53LB9DWSmbimLEqgiNap5FKE4oK2VbvNh4Tu41\npytpbOndgqyU1bunc0N+PHncZKi9CoJGs6PojHQ60vusRnvXrl3YtWsXtg1uAzyKNP0abVL/x/Ew\ngD8E8FUAfwDgl147G432mQRutL2WWrtju6FRreXERxAkygnIqtyyOLofZKQMZFVGQS74NtqVagUU\ndMEE4/NyHp2RTkg1Cc9PPW/6jFenLaVkZoilAfeOK7UKFFXRY9SxfEyfxI2JOq4JMp4dR0SImEIG\nAhGQKCewYeUG3+enlEKsibbwiNGg8omFs1bSlTQiJAKVqkiWmac9mBpEVIjqMW1VUyHXZHRFu2zn\nnC5Mm2h+1usxJiK5Q3vkp0dwaPAQsNv5e/ih/N0H4HkAlxJCJgkhfwTgXwG8ixAyCOCd9ddnHcay\nYwDY7OsW/tg+uh0AcCK5NEZboxqykjXvu3BIldmEEIRux+NuC9W5OitmddrVbGnWVOzAq9MWc+IK\ncXpg/E0nchP638OZYd2AG5OU3GgfnjuMVCVlqyDk3G6/KFfLugE2gicJAebUAGajzccqH//juXFT\nxaIxdGKEoiooyAVIVeeYtlt4pJm2ih/2yE2U0k2U0i5K6RZK6d2U0iyl9AZK6WWU0hsppQsX7FxE\nfGHnF3Dz9pv112PZMXQIHRCIoFdkGVFSSnqizDjI/OCz2z6Lf3j6HwLtw5dmrZbo+gHXDw5ktOve\nwEJNJrxIgsPIBOCedjuiQAsJsSriNd95DYZSQ6f7UgKDUoqrb7savxj4xem+FADMAHLjzB0mgBlf\nbhh5RxlKqW6kT6ZOYq40ZytMMVYy/vDwD3HTgzd5UuVyUg4dEXt5uEAEfYzzvA0ff1kpq4dguA2I\nF+O2uLhTMnIqP4VlHcs849OOMe0mz9kZUxGpUW3RJRKPzR/DrXtv1ZdZU4UpdAgd0KiGwZSdxbB3\nei9Wdq4EELw10N7pva4iM27gXmbQDtFyTfYcrEbwwdiKpx20GKam1RyTqsaEpkY1vDT9kv6aG22v\n5M5SYrY0i1PpU7j94O1Lcr6FTHgfTxzHoblD+NIzX1qwY7aDtJjWJ2sjt9m4guPFJ7Iq68ZyKj+F\nudKcqSjGWmDz9MTT+Mnxn3gq9uWlvGNSkIDoDBL+fx4KMepvT+QnUFbKkGqSyXt2q4qM5WOuSUgO\np+R+QS60VxG5VHh06FFcfdvVi+phcZoZ/7GT5SRo/b8jc0ds2++e2K0L2BSVYiA+d6KcQFkpB9qH\nL/f4gPGLmx66CZ/a+ilf27pVeHmBeyFiVQz0fb6x9xu48b9utE0oVnnMrSNb9b/5PSgr7nrCSwlu\nUE4mTy7qeTSq4e93/j3W/fs6HJp1T4wHAe9+0kx6dKmQqqT0UNj++H4ALIRQUkq6w8a90rJS1o10\nVsoiUU7YKhmPJ47rf3NGiherxI39RAjRnQQ+7mL5GIBG53aA3cdYPoZl0WXQ0Bi/GtUcPe1YLtZU\njdBJ08R4TiecMUZ7JDOCgdQAfnQ4OB3NL/gsOpgeREEuoKbVINZY5vj56edt2z859qTJuAShvGXE\nDCiopwCOFdzDDhqGOJk8iZ8e/6mvbfk9aMXTpvDW+bUiXoxjV2yXaSkMsO9nTCq9MN0oZuBLUL/n\nmcxPNl1lTOWnWi7i4UY7lou1tL8XMmIGO8Z2YMfYDnz4Zx/GbQduQ1Ep4o6D7TN0AOCBkw8A8O6C\nspgoK2WTMUuWk/pvxZ2keDGOZR3L9DizRjVQSln8uV65WFWrSJQTNkO2Z2qPvg/33J1yIXOlOYhV\nEXk571geTinVqxB5IpSHXkpKSTfQGTGDWC7mmFh0yvfE8rGmK6d02T7JNBv7Z4zR5t7vYi5DuaE6\nmTyJmcIMuqPd+mcDSXNXZrkm4/DcYT0GRkB8K4tRSvWZ26t5pxV8gHu1XHLbz69nyu9BEE/WmOEO\nEibiehJGjwioK60Z4nxzxTlTyIqA+AqV/eDQD3DRty7Cxx/5uOd27//p+/HprZ/2fd1G8GWvk0fU\nLj7ywEfwwfs/iA/89APYPrpd/21emnmpyZ7NMV+ax0BqAFEhCkmVTkvl6T2H78Hb73m7/r3ipbhu\niCcL7Hk3FtYA7DmTVRllpayHJQQiOHrQY5kxUMrCJDz+7fS83fTgTdh862a8NPOS4wRPwZ5XoyQq\nH7uVagWaxvYpyAUT08UIp5zYcHrYU0MEsOduOBPF6MlbccYY7dHMKAgIBtODgby55yaf812Mwkn0\nz00+h+nCtInjyX8kjn3xfVjRsULfp5mEoxFZKasPjiBFABkxAwISyKBqVENOyqGqVX3dB35vg3ja\nXPeBgAQK3XCmyovTL5rez4pmT5sQonvY8+V5REjEVbaS4+btN+NzT34ONa2Gx0ce19+vVCs4EDcX\nb8wV57BzfKfv6zaCr36CTqTNMJGbwPNTz6Om1lCullGulvVV33huvO3jPzb8GJZ3LEdNqyFCIp5V\ne4uFidwEBlODOlV0vjSvG8WclAOlVG9+wEEIQaVaQbla1j1rCoqyUrYZyxqtYbowjeOJ41jRsQKA\n8/M2mB5EVsziH3f/o6OGNaUUBbmAnJTTQzAZMcM875qs7yPVJMRyMUeHwrqaBMysGDcYBbIANs6a\n7XPGGO2J/AS6o93QqIZtI9t87/fhn38YH7r/Q7625QbryPwRTBemTYNA1VTTLH1o9pCp/FSjmm+K\nkfEB8UtdUzVVN6T84fUD45KzWVhFrsn6AxJkyWwM8QSh4nH61K7YLtP7iYpZV5hSiqH0ECilyFRY\nWEmjmms8MC/l8a2XvqX/nsbiiN0Tu/He+95rYqQUlELLRpdP1IqqLGil6u0HbkdEiDiWOFsntVbw\n0MBDpt/YqzvLYmE0O2pydlKVlOl3T1aS2D663RRCIKgbbYPjolENKlVNHG6AjZv98f04Nn9MN6zW\nMIVGNSTLSXRFGIfa6b5SsPCIMelYlIsoykV0RDp0r1ejGgZSAxAczKbT/Z3KTzUt/rGOy7yct8Xu\nrThjjPZscVZfOn1v//d875cVs3h85HHXLhBGSDUJAhEQL8ZZFZYx3kRYySnHSHbE1sNtOOOvuCRR\nTuiDxG94JCNm0BnpBAW1DU4vGAdLsyQuL2oBghnfotxIwgYJj/AcgFXcJ1lOmgamBg0nkieQETOs\niIKqJhqWFbF8DN3Rbn1yM3o+eTmPrJTV2UCqpkKsioFWb0ZM5icRFaKIkMiC8dSrahW3H7jddRIg\nhLSsrQGw+7FzfCeWRZkIEwU9LUabr57ctLKPzB3Bz078zORZEkIgVkWUlFLT0AIFxZNjT+Lg3EF9\ngp/ITpi24QlMPjm6HTMn5UxOT7lathlQgQgYTA+iM2r3hK0evkY1U+LVDdZxae0W74Qzwmirmoqc\nlNON6DOxZ3xR2MSqCFll3uPuCZfyoToopezhpmxQD2eGbRlgo3E5mTxp43RaY7NuMGa6/RrHRDmh\nLx1rWs03SyNejOs/crMJIi81BmEg41tfwgURfAeYF9EhdCAv5U2TakbM2Abmnsk9mC3N6pOdkYZl\nRSwXM6ndGEMpBbmAqlrVHyKuTRxkIjQiXowjSqL63wuBXw7+EgIRPK/JiYLqFyOZEXREOlCqspWb\nRrXTYrT5OXmtQ15uSI5qVMO9x+5Fd7TbpinNwyN+bMCO8R04NHtIz09NFc2TXSwXaxpuANjzZ2Q1\nKaqCnGg3oDOFGUdP2+pgzJXm0BntbDrurKtqPyvgM8Joz5fn0RXt0h++qlq1xSWdkKqksLxjOQDg\n+/u/77kt97I1ML2C44njuoHg2BdviBeNpEfQKZh/bL+xxkQ5oYchZoruAuvWfXgMz02yEWAG75Zd\nt+gz+GxpVk/kNPO0jUUtRjnKZshUMvo5OBXKD0pKCYQQ5qEYjJCxYIHjWOIYe8jriXkjDWvH2A48\nOPCgvm0sHzMZauMkV5ALoKB6iIrfk1YbwSYrSTZumvQSDILv7fsecmLO1ShpVGurAteJ6TKasSfK\nFhMa1XQn4njyOFRNhVSTTBWPDw08ZJuYeSdyJ40QJ4xnx00MIqtTEcvHfB1ntjRro6ImKmbGCq9g\ndDLEUk0yOVqxXMyzzyOHlV3CY/1eOCOM9nRh2vQFKSh2x7w9Z4AZbe4FbRvZ5vllS0pJ95w1qiGW\nsxPfuY4upRTxUtxW7uo3mZMoJ/TB6beSMlFO6J6/QATX4pJtI9vwlWe+gvuP3w+AeTN6Ca6P8AiH\nNQHiBWPPOr8Tl0Y1iFURqqZCpSqOzR9rXIeDNzFbnEW8GNeNK08OAcDDgw/jIz//iB7nnMhN2MTk\nubemN2K1LMlVqvouQOKglOo9BSkoZgr+JmAvZMUsXph+wbEyzwirJksQxPIxW+jlVLo1/elWkaqk\n9O8Yy8WQlbLojHRCReOZcqPDijWRedpa89+rptXQEenQPVarM2JklniBe9p8/AlEwExhxhRO0agG\nQohjkty6MvQ7WVivzalbvBVnjNG2fkE/OsvJSlK/qWJN9CyAKCpF3UhTUBPDg4PTdjiDwbp08ZvM\nminM6B6j3wc9UU6YHjS3c+2a2AWVqnoz0Vg+pt+DZuERoycRhD+el/O6Z+y3UKOklBAVovoA3DO5\nR/+sqBRt916qSRjPjeuDmKJhtGeKM6jRmp5TGEwPmiZcY/ybxyUn8hMAzLFGa46iGfIyq6DjpdVe\nHUr84omRJ7CiYwUqNe8Y+5F5e7GXX8RyMZs3yLudLxWmC9O60U5WkszBckiwWQ0grwWwqvq5wVo7\nYB3XY9kxX0Y7I2aQETM2HRzrOHUzxIQQ3alTNRWPDT3mKyRnZX01a4AAnCFGeyo/ZfMMRtPNl3NG\n5gQF9WxmwJfqHBTUZpRLSgliVcRoZtQxDqZRzZfhNq4c/MaO58vzpgHsFtt6apxpf++dYUZ7Ijuh\nX2uz5XteasziQWiFBbmgG22/MfqsmDXdQ14IAbCYpTVcIRABJ5Mn9QFr9LT59+IhlrHMmDl5ZfBy\n+MQ1V2RJQ+PqI2gZ/lxpznQeK5e/Ffzi1C98xS3b8eqdNJytlNbFxnRhWs87lOQSUuVU0wQb0AiP\nlJRS4JURYI8RD6YHfcW083IeqUrKZCPmS/OBWDyJcgIFuYDfuu+3sG10W9MSdgCIkAg2f32z7gzl\npXzTUN4ZYbQnC5O2WclPLDhVSZkM3b3H7nXdtqSUbBVV1kwyIQQnkycxlh1znOUFIvjiaht1EvxW\nURq/Lyf7W5GqpDBTmAEB0XmhM8UZfXA0C8UYO2IE0Xkxei9+NUGsWXAeVuGxP6uHpVENA8kB/QEz\netp8ojg8dxiAfWwYK0+5p809bM59B1oz2saH2I9c7Ifu/xC+/eK3HT+rqlU8PvI4uju6HT83wtg3\nMSi4hrMRfpyNv3nqb/B3O/4u0LliuRjecOcbHDWy9d+Y+A8XAGxFFGQlaEwM1rSayehN5CZ8xZZL\nSomxmurhVs7+8Gu0Narh6PxRXHv7tXgp/hKKctEXdVelKtJiGpd8+xJkRdahx6uwBjhDjPZoZtS2\ndOJqdF6whhTmSnOuN7ko2ztWWMFv/Fh2zNGo+S2wMXrXTt2WnTBTmGkYLIOXacSeyT1Y3rEcFFRP\nZBnj7E6etnFpmBWz+oAOYrS5/grgP8RgnazKShllpWzzwDkoKMZz46ZxwD1S7i0/N/UcpJpk0qrg\n4PeLn5dPLlxOIEIinkbbybuZK83ZElPNsH10O/7iib9wLLbYM7kHnZFOX6scgQgt65c7jVFZlZt6\ncE9PPI2vPvfVQN7ljvEd2B/fj4cHHza9P5lvOGIEBKPZUV/H5eEON3EnJxiNnEAE0+pqtmgPcThB\nrIpIi42mvxSsL6VVoc9NE4SC4q+2/xXixTiTY/VoMWaFSlWUq2Xctv82U57ODWeE0Z7ITdgSM368\nongpbvKEOAfbCSWl5ItG90zsGQykBhy3tcpBusEYL/drHOdKc6aYu9MSevfE7sZ9ISw0UpALegba\nGrqglOLcr5+LhwYeAlBXWavfLz9xPo5KtaLfD7+Vl5xqx0EIwYnkCVNS0+k8xt+Thzp4n76h9BCm\n8lNY3rHctBKiaIjJc4U0PrkYJzWvMfWmu96EN9/1ZtPvNV+aN33XZt5fSSlBURVQULz33vfaPn94\n8GEmIuajO59GtZb6Z3INZysrIUIiTemak/lJqFQNVJH59PjTjsya0eyo7gFTUF/iSRyVaoXlUYTg\n5snYYYaHGprlDwDG4rBSURPlhC2k4yXkJKuy3teyFdx56E6kKinX54PjjDDas6VZ283xU4E2W5y1\nsU6cNAAA5+SXE16YfgGnUqccu1AAjAroBd4Hjz80lFJf3qnV4DqFVbaPbTd5oi/OvIiuaJfuDVhD\nF/FiHKlKCt/Y+w39HHxiCDKwxJqoG0muA1GUi7ZMvXFCs4pC8VWMVUvbCiMlbLY0y7Qf6l2sU5UU\nJnITtrFCaSM8UlSKiAgRyKoMSilmS7OIkqhJcL6m1UzLeUop68I9/QI2fW2THmaaLc2aJjdFVTwF\ngGK5mM4XPpU+hfuO3Wc6x4MDD/puj0VBW1L789Jw9uJqa1TTZQf81iMAzNMG7JTCieyEXoSiUQ3T\nxWnfY65cLaOoFAO3EuPgk30sH9O7vDdDVavanh8jnZbDK3TRSgzeiLHs2NlhtDmf0/iwAswzaJbE\nmy/NmyvrqObKRy0pJV/Ls1g+hsn8pKthuePgHZ6JpGQ5ie5It4m+50d/xGrkrEa8IBdM7AWNatgf\n32/6/tZmuNxT456TcfnnlwKnUc00gXJP5ou7voi33/N2/f2aVsNF37pIV2nMSTlbXmDXxK6mMX7O\n1ACYp5MsJ3VDSEFxLHHMkXHAwyNlhWlWCGC0yWQ5qX9nbrSfGnsKb7zrjTotMF5sCBkV5AKuvu1q\naFTDZH7S9NA2q4qM5c0KcL//i9/HzvGdkGsyPvbwx1CulgOVwhsZN34Ry8ccjV2zApu50py+2rVq\nxbhhKj+lGzouAMUxU5wxPUMjmRHf4Y6smEVJLrVktCmo/rwFVWbkHH/9OqRsUwO6kKCgmMhNeDo1\nwBlgtJPlJDojnaaHlaPZcs7JGB6dP+q4bUkp+aIQyTXWP9EtrJGVstj09U349ovfxt2H7rZ5JU66\nv82oeGJVRFWtmpKx8ZL5AXth6gWs7FhpSm48N/WcaRtrHI2X5fPzZ8Ws/uAIEHwluriusdHDSJQS\n+PnJnzcKYsAeekVVcN9x5l3mpJzNQL04/SKbnFx+B+tgzUpZm+dxZO6Io7dbkJjRFqsiKCgIIUhX\n0myiIhFQ2vC005U0pvJT2DWxC0CdYVAvpFIpq87dN7MPU/kpW9jOi6ETy5n50RrVcMOPbsAV378C\njw49CrEqenYxsSKIx2u8Bjd9DS9GirFycOeEP3GtZyef1fdJlBphKEqpLYk3U5hBNOKvJW1WzKJU\ntRMH/IAnEAFnvrobBCIwUSq18ftINcn3RLNQ8OPgnXajbeRzGkFBm2o9ZKWsLfbMxdWt4A0QmoGC\nQiCC67YqZdKJn9n2GXzi0U/g2tuvNU0uiXLCFrNsRpNLVpg3adzP+BAArGO81cieSp0yDUprp5iB\nFKOoiTU2KeTlfKPqkrhXXRpRVIq21cyR+SO6AeAhEf5/zgd2WiVNFaZ88VA5clKOcfHrv7FGNRxL\nHHPcNlFJ6HrI/PipSoqFYwgxhUd4h+1nJ58FwCY3o/dOQXHHwTtsy+Nm3qq16Ic32BjJjqAgFwIJ\ngQEs3BVqWTj0AAAgAElEQVSU8RLLO6vQAcBYzp4cNe7HV15GDR4v7J7YrecSuDgYAF1DxuhEyKrs\n2wAW5ALLb7RgtIFGExHr79EMNa1mcx5bvYZ20GwFfEYYbbekn5fRVjUVlWrFXkTgkkTxI8TC0UwW\nVKWsyq+qVaGoil5JCTSa83JoVHOdPXeO78TRuaNIlBO2ZZh1n6H0kG1AFeSCKeYaIRFT+OHI3BFE\nCRM7mi5Mmxg0vo22XDRdG69W5WJEVqPNE39WUSiA3deZ4oxrbNM62RWVIpLlpGkCHUgNOOYbEuWE\nXvXKjSWPvesFRZY+gDz8MJAasBnUBwcetNGvmnmrTvxoACZx/SAghOg0Ry88G3tWz7V4MU68is+M\nBTl5Ke8au989sVtvYPDk2JO6FIRRe2O6MO3IEPJrAAtyQV8xtQIutWAtwvICBXUMhbR6De3gjOdp\nTxWmXC/Si6mhl8VaPGI3A5mTcouy1KGgesELUKchWrw2p/BITavhpgdvwpW3XYmvPPMV28RljZuf\nTJ60aaVw48RBQEx0p6H0kG7EYvkYytWyycv162nbOoZM7tG/I48b8t+KJwTdEirD6WFfKx6AhTqs\nSmlcQ8aKZDmJglzQJwpKKZLlJMSaqOdLOIeb3yN+7Ufmjti4vHkpr4tPWa/fDaPZ0abl6UGgUQ3P\nT3qXs6crabzvJ+/DVbddpQuhuSXRvWK8Y9kx/bsKRHD1tv/0sT/FVbddhc888RnMFmf1cWDU3nB7\nbv3+7kWFcZxbTezx72ktwvIC75jj9P5SQiBCU6fx9Bvt/JSrF+JFeXLy5ABWwODEcQ7iaQfFU2MN\noz1fnrc96E4rhseHH4dKVVBQ/HLwlzY+N1do4xjPjTsaQeOgpKC6QZJrMpKVJFSNJRwnshOQapJ+\nbcYYrxectkmLaf3eH0+yuCsvPOFVo1kpa8+8Uw1D6aGmPFQOqSbZuPgAbElrgBlkY+Um59R3CB26\n3gVfNnNxLrEmoiAX2ORmMdoU1LEI6NCcO6NjujC94MvpR4cf9fz88zs+D4CNlx8c+gGm8lOu1zCS\nGcG7f/xu/Mfz/2H7bDA9qBt7q1YMx2R+EpP5SQhEwDdf/CY0aKb7w8fwdGHaMZYcpFlJkGbVVsyV\n5liDhaK/piUcTpPKQmqo+4Gf77wkRtvL3fdawnjpJXD1NSsEIjgWNhgf6IXGeHZcn6WnClO27+P0\nPb6777smb9oq92gsaFFUBelK2nHJajyXMXM+mh3F8o7lekjlWOIYIiSiGzDeDaQZjFraRvBwAi8t\nH82OIkIietWoG7VvKD3kOyGlqIozHdQhaZ2X87Yu1qPZUZMx5vcmWWETPiEEh2YPIVlJOnc0cVga\n75nagy8+/UXHa3XiR7cLt8Q6wNqS/ezEz3TD8pVnvuKt4UxYkvFzT37OZpRjuZhpMnVirjwy+Ii+\nuqWgoFrj/ghE0HM3UwVnR8xvEpZLLrfKd06Lab3WIqjejBVBEsdLhSUx2l5CO17aAF6Z+lQl5agC\n5kb74y2zFgM1WtNF62cKM7YlsnXGj+Vi2DO5x2RQrIPDmMSZzE9iWccyx2WT0bBQ2vC0h9JDJgO2\nP77ftYDp3fe+Gxd/62Jc8q1L8LMTPzNt04zfbkxA8lDMVH7KtQJVrIm+fweVqrb76eZFlpSSbYU1\nmhk1nYvHsjNiBh1CBzSqYef4TiyPLnecCNzw5We+jPfc+x7TfZkuTLvyo9tBQS64NoP4iyf+gpW7\n14tHZkuzEAR3nW5FVfTiH6OKIOezG7+PUSuG48GBB00rryo1j0e+khnNjtp+pyArEO4Q+A2nWFGU\ni3hkkHWib1YSfjZiSYy2F3VpOu++hPGSGk2Wk44PCAV1FJBv1pa+HVBKsX+GsVbmy/M2o2SlLt5x\n8A5EhahnpZZxWTaWHXNdjRgZJcb4+WBq0MQi4J6w8ZpLSgmVagVPjT2FqcIUxnPj+NTWT5mOX5SL\nng8PjxNzpgWvGrXGz43w+zsIRGDNYC2rCSeIVRbqMBqeeClu2t5Y6s751E+MPuHYXdsLFBTbRrfh\nom9dpK+WnKR+FwKEEMeQjFgVcSB+wHYv/Va6bh3eqv/Nf0NjMta6Wi3KRbww/YItr8JBQXXG0FB6\nyBZXD5LQk2qSL70QN1RqFTxw8oFAUg1OOB3MET9YEqPtpg2ck3JQNMWVL8xjZH+/8+/x+ac+b/os\nVUm5xpuMzQw4KtXKomWCKajeTduJEmZsY6RRDbcfuL3pw0VB9aX2aGa0aXKCg69OjiePm/axJkM5\nBY53pVdUBSpVbQU6RcXbaIs1EXJNRlbM6r/HUHqIVQ+6eHx+jSQB8d2uTapJNlpnupI2vdarJg2e\n6/H54y093Lxn6Ku++SqUlbJrl+52oVENz00+Z3v/yPwRrOhcEUjjwogXZxoFNLFcDF3RLtPzwZX2\nOLaPbjc1uraCc7MBOFatBoGiKm0VtSiqguPJ4017LZ6tWBKj7dbQYCw7hmXRZa7GVNVUVJQKbj94\nO/7tuX8zxVatYj5GOFGbeDn0YmHnxE58afeX0B3ptku+GgzhwdmDqGrVphSwCIno1Waj2VHfhoXT\nnY7PH9crCQEWbrFR6uSirSs9L/82buPFq46QCI4njpsKpA7OHkSH0OH5u/pFXs770oypaiwBbTy2\n1dvn8U1jyKdSq/ieEK3ghTj//vy/M8rcAsezOZySkQfiB9qaJJLlRhx/Mj8J609lzQ399+B/eyo8\n8lZ0fPKUqq17uYqqtB3K7BA6AvPirTgddD8/OK0x7bHsmOeNEYiAXbFdelcXY8HGTHHGdSZ1ioVL\nNantDtdeGMuO4T/3/6djbztRbQyehwcfhqIqviYQvvQ+kTzhm3HBPX2nuKLV8GfEDKYL07b7Yhzs\nfqRlj8wfMcWdR7N21UYOAhJIrEquyb6MYU2r2bSIq6pZ3IrTyMSqaLoG4+TWCr6x9xsYzgwv2kPu\nxOTYO7O3ZelWAAABTiRYS7NYPmaL6VsVLbeNbGt6n2L5GMaz41geXd5WbF+latuhiaBFSQAWLee1\n0FiSqyzKRccs7mimuQf5y1O/1ONbxkFk1EqwoqSUTA+vRjX2ALfoUfkBr5R0mt2NlYoPnHzA9+TB\nY7DD6WHffNNUJYWMmIGsyraH2uqZJStJTBemTQbMKm2ZkTKesVqNajZVRDdmD8CMgd8Ek0ZZP09j\niyo3EBBbFaaVxy6rsq2jDt+3HRTkAl6cedH3bxQUJaVk41i/MPWCXuDUCjSq6SGS8dy4bWLk4R+A\neb4ZMdPUex7PjWMsOxY4R+B0be2C9459OaIto00I+Qwh5Dgh5Cgh5F5CiOOoFYhg6nTOMZQe8uRB\nUlA8PvI4OxeIyWgnK0nXh40QYmoIwPUzFnO5wylkjtcDdj1T+SnWHsxnp3UeGnBqx+aGnJTDAycf\nwMrOlU2/b1pMYyI3YTPmxjhyTnSXUgXYbzSSHjFNiEa6YjugoL6/t0AEk7wth9Hjr6pV5KScabIX\niD8NlmbXOZIZWTRPjYKaFAMr1QqTUW1z5fjoEAu7DKYGHRN/vL2bX2ZMvBD33d6rGdox3BES8a1j\nv1DnXEq0PMoIIZsA/F8AV1NKrwAQBfARp23dyPonUyc9l1wa1fTOLJxKxuHFLNGohodPNUTZuXe1\nmKhpNc849e/8/Hfw6NCj6Ip0+aKXcU1t3gLJb3yuKBfx+ac+74uDnZNyGMmO2DL9xntr7A/phpOp\nkyZPTYO2YEm5IBNtspK0TTDG372m1UyiWQB02deFwGIkIjnuOnSX/veRufaSkBz7ZljC3q2Skz+z\nfpkxKTGF4cxw26wNIFjew7Zvi1TBswXtugYRACsIIVEAywG4qulwcR4jxrPjTQ2CRjV9cHJvnVIm\neu/lpd9+8Hb975JSWnK1LiMoKI7MH8Gte2/13RyYd68Zy46hK9Ll27CUq0xk32kCsd7rglzAVH7K\nZsSMRrsoN9c1juVitkmx3SRQUBAQZCoZ27UaXxtpaQuNqBBtSV/EL8ayYzrrZX98/4JMEMlKEp96\n7FOmXqtGcB0fv8yYglzAyeTJBQkTLWYo82xHy0abUhoH8DUAkwBmAOQopU+5bW+VEa2qVU/aHocx\nBHIiyRIn3DB5eazDmWHd2ywqxbbjbAuB4cyw76QX7xM5mh0NvGxzS9xZw0klpcRKfo0FOoZSeMAf\nv11W5QXV3GgF/H55TTACETBfml+UMNlietkA+36PDT0GgNH12g3p8GPee+xeSDXJcZLlxTJ+mTFi\nVcRIZqQtjjXHy91bbgfthEf6AHwAwPkANgFYSQi5yXHjp4HhB4dxyy23YNeuXQAaVX7NQgXGh5An\nY8az400TDRrV8MTIEwBayyQvBjqEjkCxtkwl49qv0g0REnEt2rE+CGWlzJQSq+YH0iglyyfIZjjd\nhQhG6VUjjBMeAcF8OViH7TMJ3933XQCsu1I7SUiODtLhmjwHgIJSAKUsXu9nDFS1KuLFeGhwW8U4\ngKcN/1zQTnjkBgBjlNIMpVQF8BCANztu+etA7e017LtkH35c+DGUmuJZ5WeEcQDwZr/HEsdsvFIn\nfG/f9wD4a+q7FAi65LvnyD248+CdgR6CINuWq2Us61hmY2cYcwd++e1WT3OhknJ+JwNKKcSaXc7T\nmBQjIDap17MJz08/jw/85AOYzE8uiGdfpVXPuDgP0Q1lhnyFPAQiICJEljw0dtbh4B8DhU329y8A\n8OuGfy5oJzs3CeCNhJBuADKAdwKwlyLW0RnpxI7xHVBUBUfnj+JjV30ssBErySW9n5+fZp17pvZA\noxpKSumsyQwbwdUBuyJdi/IgyKrsGK4xto6SapKvCdIaz+Ul7e3CqyGFERQUiqroHWg4rPv6Ccmd\nqegQOrBtdBuiQnRBkn3NwMW/pvJTviZhN3nTVkBAzghHa8FBAez4J6A7B/zKQy0domWjTSl9iRDy\nAIBDAKr1/9/utr3R49kX34d1K9YFH3iEMRv2z+63qeI5oapWsT++/6w12ouZ2ALY/bEaOaChlaJq\nqi8D5/SALdT9DvLgcj6+17EWKxG5FFjs8WAFBcVkfpKxcnwm8hfqGv1O1mcd0pcA5Q1A0cHT9om2\n1rCU0n+klL6GUnoFpfQPKKW+XZitw1sDMzo4V5uXTTe9PlD85NhPmH7GWRrHXEy4sUy4hKmxE0yz\n41ixUA9cUOPvVYhDQR17eIZwhkY1nEieQGekc8knjKVsqLukiF3H/i/2tXyI01a3SUACU4MoKIbT\nw0xb2ucgenjwYd+d2F+JcIqNclqitT/k2Q5KqakjfYjmODx7OBAbZKGotYtaUp6+CPj3WeCrSeDW\ncaDahNF1zw6g6qxuGBix64A1Q4DY773dfQ+7fnTajDYFDVy1pFEN++P7saJjhe94+ER+Ajkp97LU\n1V0IOE2cnE62mBrkpwO8YOl0cvbPNhyZPxJotePW6swXDAu2RWUjpS8D1p0C3vPnQHUFSGmz+7Zq\nFJh4B0jpvIU5d+w64IJdQGmD93a5V7l+dNY9kfvi+4KJ0VD3hqsh4OhJ81xDRsz4yh2cTShXy6ed\nnng2YbIwGayjudoiqyVzIXDnXv3lojoLxY1A7yTwzBcALQpSWee+rdQLACDFc9s/b24LUF0OUNLc\naFfcPfGz7ok8ljgWqLBAg4aj80fDJXFAiFURw+nFU647XZBqdonaEO5oVnlsRZAOQCakL2krORcI\nxU3Aqmn2f6IBlbXu28o9AABaOqf988beBmx5AUi+Bqh4HI/C85rOOqOdrCQDV1zxZqQh7HCqdONK\nf4PpwQWpvDuTUNNqYX4jACioa7eaBUVhM6CsXPzzAHWjHWdeNCWgldXu28rM06blJjFoP4hdB5y/\nC5i/wtOThrISiLhPfmelJQtaMk1BQ6PtAALiGGoihCAjZnB0/ujL8r4tNRPibMeSJKMLmwFlhf5y\nUWUBipuArhIAAmhRULHXfdt6eKRp4tAPYtcB/cOA0gNIHuyRSj+w3F0Q76x8IluR/gzjmP7BGwSf\nTJ5cGi9riRGGR4JhSWocCpsBrROoMYdsUSfW0kaQjvrx1U49BOII/pno4Y37wciNLH5e2MJeUwFQ\nXKQIKmuBZS8zo90KEyQ02na4GS8K1u/PqatNiFce/FQft41CncGhGLzeyTcDCxFLtqK4CYTWVw9q\np7fXK/cCRAXKbVxHtQvY+h3gxptB99zM3otK7qwVsf/lZbRbNb6hHoJ/aFTDcIZ1yzG2SgvxysOS\nOTt1oy0YjfZznwOO/q+FPY8mAOV10CrcUAtAM/ZI7yRjnLSK5/8aWDcAkng9kLugftoqSMnlmJWX\nmdFudWn7siyJXUQMpYdeVoU1IVrDkoWSCucByxN64g8AIK8CZq9uvBZ7gZf+rL3zlM9hBjG3xfDe\nevft5V6gf8iZ2VJeCxz4mPf5CpuAvX8JXPdl0Gf/pvE+oaBuDJHKWmBZyvkznIVGO8TSYDA1uCBt\no0KEaAppFaBFgeUpM4NEWQXEr228Hr0R2PHPvgTMXFHcBKycB4xerheTQ+4B1gw7h0cG3w/s+Rv7\n+0ZMvgXY8jzbrmaovKSCOyNF7AdWJFwPGRrtEI4Yy475Er4PESIQHv8GIK8wv1c8F+iZBggFZIPR\nllcB6UuZUQcY+0LuA/Lnt37+4kZg5ZzZc/Zihki9QF+Mxb2tk0XsOrZC0DxCSOlLgf5BYPpN5vfV\nDvfk5sstPBJiaZCoJNAZXZzu4iFeoaAA9v0ZyPxV5vcLm4FVs4x+pxiamyirgJ4ZCPG6TH/sOmB5\nAsLcNa1fQ3ETO5fRaDdLRHYVgEgVENeYP4tdB2gRwKsMPn1ZPbxiiV/Xut1FoyprgU53iY/QaIdw\nhEa1xY1pb/0WEL+q+XYhXj4QVzNaX+Jy8/uFzcCqGaDWBWrgakNeBZxzDNrMVUBlNdPjOH8PtMSr\nW78GYzWk8TxuIRe5B4gqQESGYNQfydeLgc45ASFzqfv5Upcx7WxrQpdG3WPpYj8QcV/lhkY7hCuk\n6iIK7U+/ARh71+IdP8SZh7qRollLeKOwGeiZAqorgGqdu0zBXnfngLnXA5NvBTbvAwobgVSbRnvl\nLDPURigu7QulXhCiAoJq1guJvQ047wUWm85ucd6XAkhfCgEuxYBu+iOVfkYzdEFotJuhuAH4z4NL\nc67cFuDO55fmXD4QSJgrKKQ+MzOAo9oFfD3G1NVCvLzAjVTmYvP7hc1A7xQz2NxoKyuAqAR0FYGZ\nN7BQxHnPAtmLnMeN72vYCHQXYfJ8IzJIpR6+eOmTwNNfbHwm94IIbFuT/kjsOuD83UBxI6hT6zCA\nJS+FGrTUxS6fu3jalbXME3dBaLSbIXsBE7NZChQ2s/MtJmqd7l7FUkLuNTMDOOZfDxS2gJTb4MWe\nbdCEtkTxzxqUNjAmhtVTLmxmcWOtA6hxo70K6CyyMEFxIzD0W8DGQ0xoKXMxu2dG1DrtCU4nFDeB\nRC0CWJFqQ+lv7vXmSUXqBWgEUDvMbI/YdcDaQRbndhO6Sl0G9I8ygSgnuPHDxf7GfXBAaLSbobQR\nqK7Uy2sXFeIa75LahcCBjwNPf2lxz+EHUh97GK3GKs6STKTokdx5ueHpfwS+NQKMX3+6r2RxUdoA\nnPdc3egaPN3CZmZItSiTLgVYvLirxJ69rgKQuwBCrR7SiIogGYshfPbzwFP/0vwaiptAqPVZNij9\nZS80hy3kHjYh1LobbI/SOqB4LkjpXACCfeXAkb6UTVJpl5i3E3uk2s3ug4dAVWi0m6E+ixIxYBlr\nbouZvuQHlX6gtnxxQwPlc7x5qW5I/EoL5+oHig5LQN4F5JzjEKbeav6s7n3TkkfBw1Jj/rWLd+zU\nJcCBTwDv+ALwwE+BA/9nYY8/f7k3JW0pUVrPmBQRGSR/UeP9/HkgahfzaDlPW14FdFTqScIIcO6L\n0EbeyT6LKMCsJYl96oNA/lXe51cjQKUfWtlqLAkoN6BGo60RQFkFTVrJVgGcqz35VmDzi6AjN7DX\nOZfVcfoyoH/A3WhXl7NrMqLSDyxLe0q3hka7GbjR9tK/dcKTXwVOfDjYPpxSJLcpTuN5jtWtSWDe\nvj/4En7/n7FSZCvkXpZg6ipAm73S/NnsNcCaYdCyh8bxUqLcD9x2yP5wLQQomCbFm/8DOPG7rLjk\n8W8u3KRNAfxwBzB+hiR8SxsY/ziqgMy/jr2nLAdqy6AV6oaSrzSVVUBnif1f6gWuvgOIvZ19VusG\nTRoMYe48JndaaLI6K68HlqfN1ZAAQCOgYh+77/ktDaOtrASiYt0jJo0wyNi7gFc9DUy+jb0unOvM\nPkldBvRNsu/ghIgMVCzOiVhX+PPgjodGuxn4D2XlaDZDZV1wOcf6OQQp4LmCQOpzH0RuqHUCtWUQ\nygFF6sXVzskWqY8teWkEmDMY7Wo3yx+sGwAqLd4DaRUwcV1r+zqhsBnQOrxbUrWKk/8DKG0C6R8D\nJq4Hkq8FojJIuoVVjRPK5zCP7dT7F+Z47aK0AegqA1oUWrruaRfOBXpmGgUz3GjL9Zi2vIol5bZ9\nk3nBABu/ScM9GnofcOEOIN+kJRgvrLFqfqidgNTDDHbPDHMq1Ci7lu5C45pKG5lxHvot4Nz9DeNO\nBedQR/pSkE4P7Z6IAqFkeaYq/cCy7Murc82So7gJEBRvoXQnVPq9SftO4BND0P2CQOqz052agW8f\ndLUh9ziX/0q97GEQqsD0Gxvvz70eWDvENB1aNdqxt7NVzkKh7r2R3IULd0yAJc223Qrc+FnQx77V\neF+omieydpC4nBmp4fe0V/q9UChtABFUNp54D8TCZtaQgBtc7lAYPW3A4jQRYM4QHhl8H3DlPczY\nejXp5SXs1sRhrYvtm70QWD0OdOXZJM0La7geSvkc9ttEJWD61xr7d1QgZC8zH1ONsu8oezzLgoN6\nYGUt0J15eXWuWXIUNwJrRkAlD6F0J1TWmsVv/EA32gH3CwJpdXBPm7dcKgc0pHKvi9HuAzoLrJpM\nXNPwKuLXAhsOs4fK6A1NvRGYNJQBUwAvfto5jCCu8RYACooCMyY0v8Ce9u5/AM5/Fhj9TfN3rS4z\nL/3bQeJy4NJHWew08fqFOWY7KG0A0TqY55yo5wlyFzDeNA9tcAdBXsXofm4ORn4zo+PKK4GpN0Po\nLgMdFZC8x+SauJydy8b2YMp/yFwE9I0DEQWkcB57DruK5kYIg+8HLt4GnPrtxu5EA7WyvrIXAKtm\nQee88yE2/RGxn4XJwvBIGyhuAnriwQwpBbvpQYXTxX5AqIJKi8ggacXTrht5GnQFILkYbbkX6M4z\nL6Sr0EhGzl4DbHqJaVEYl43HbgIO/2HjdXEj8Pi3QV78rP3Y4hr2AC4U6saEFps0Yg2CxGuAw38E\nvOGbwIt/bv6surJh0No+z+XA+sOAUAMGPrgwx2wVmgCI/dD4c5R+NWNkPf9XwGseanjePN+irGJe\nrlv+Zd1J4I6XgOduBjbvg3byg0zu1KmLOQWw53PAvk8CV9/pHPuurGOe9pphVk5f3MCclU6Dp13t\nBgY+BFz0hJkrrkVB85bGv+lLgTUj7klIAFCjoNYVZaUfWJ58mYdHdn6p9aV0M1S7WVUWqQYzdFWW\nXGkpPNIzDRrUqAZBKzFtvXtHwO8j9zIDamUvSH1AV74eO+yANvAB9mDFr2UTpNbBmAYcufPNgz99\nGdA3DvrszaxCzghxDTN88gJx0Qubgf5TziyYVrHtVuCt/wJs+zqjd5lAgPkFDI/0zDGPdOg9C3PM\nVlFZC3RnmYcMsGd2z+eBvikWz5bqDk61zrWWV7Ex4jZW568E1p0AXvgr4NJHWAgIBJpTocvOrwAn\n/ifwex8EHr6rQSs0olw32j0zjJNdWmcIj9THf1QC8ltApHUsjs2hrLR778nXstZiaUvYxAi1mxl/\nY+iqspZ52h7U37PfaB/8mM7tXXDwxEV1ZWNQ+QGfJVsx2ivnF7fBaTsx7cD79bClsGiJz0m9jEUg\n9bF/c1cCP38AyFwEwpOwRm85f7558KcvZaGFdSeBbd8wH7seYiLlBQpnFDYDG442p5P5RfLVwPwV\nIGtiwNRbXM65yTs26wcaARKvhaBFAUSYEVmMLjB+UdoArEg2knedJcYsuv4fgF23NLbTedqrmJdb\n82h3N/qbwPqjACJsRVfrYhOUFSd+B7jxc8B/bXcvgRf7gexFLHGodjPjKfWyiYOvDiIKcPHjoCf+\nh3lfGm0kSQFmhI/+L+DirY0VhBPUTsZ6efCnjd9b7GchGY/mE2eO0Z7+NeCpfwq2D281n72o6aYt\nobgJWDXHSms9EgM2iP2AoLRmtLvyi1exWOtgAwUAqgEU/PisH2TiAthg7yxCsDIvpD7mdUm9YMUJ\nF7LY5IbDoFNvbJyLeyC58+sPUX3SSF0GrD3JJuuJ682JO2603arUgqKwGWTNOLuGVjD0HuDh2xuv\nD3wcuOLHoHv+2n2friKERJtiWvktjFI5V6fWdedABpc4RDL4XuCZz7O/SxuAlYnGCiqiAG/5KvDs\n35k9X2NxTYcEL+MFgEmePvG1xr5WPQ+phxXUpC/1ZoBJfUD2QhCtixn/8roGNZWHRwQVuOwRYOyd\n9v2NRnv6jUBtGUjxfIeVlBGEGXVxNXDv43V71l//3u44c4z23JXAyG8G20fuYaphbrX/7aK0EVgx\nxwZQEKNdWcs0eINQ/tQo01sg1NSVekEh9bFB2FkCUQKElJRVjFMalPYo9wK9Mbv3I9cTPFq9Mk3p\nBUZvADa/yJgAAEAJu+9SDxv4/UMQkvVkWvoyoHcaqK0ANAHEqBpXYRMmXQivkoIZ7e4s0EqFprwC\nePT7wNBvgZz6IPOmjnwUuOxhM2vGCqKCzl3R8mUDYKGRdaeARN1oV9aAJtsQWmoFI+9m+Qig7mnP\nmznQlXUssWcE9zjlVUwONRAEuwzE7NXA+uOgU29y3oVDXA0QFVr6AnacwmZmX5ZlG06LJrCqVacS\n8zOlt5UAACAASURBVIKBbrj/E8CVd4Pu/XTzS5b7gLF3sHF2+GNAZS1j2HigLaNNCOklhPycEDJA\nCDlBCHlDywcrrWcecxBqEl9CL1bJc3EToyNJfcGqCCv9wOqxYJ62uJoZ1FpncNaJX0h9LAEYlUCC\nXJu8ivXJC9LcVI2w0t9lGVBrYlDqY0ULJkSAvZ9pMCmiEoTieczD7Z0EOsoNo5O+FIR7I1qHOZkj\nrgFWj4Eaf697HwWsRTx+IPUBQpVVxFX67bH5wfcCP7vfff9nvgBseQ549X+DPn4rcOT3gU2HgOO/\nC08PUlkFmmpT7yZxOXDO8YYMqrqMUSoXGpkLgdtfdP4sfi2QvJwVKJXWM+YGN9rVlcBL/9e+jxZl\nxlFpxWjD3iAhfi2w4WDzEKqgsmeW6wwVz9VXivrqVOoHDn7CeX81Chz+KMv7nPogyJa9QMpFc8QK\nGgXKa0Gf+gpQOA+kiVlu19P+JoCtlNLXAHg9gIGWj1TawIxVIONY935bXbo2Q3ETk4wU1wBBCl7E\nfqZapnb41ywR17BZXYsGD0P4hbSaGe1INdjEIPcAfRPBqHRyDxvwhNppTVIv0yj2glBlDJL8+XWv\nehlo5gJ2P/PnNbz+ard5BSCuYckkoyGfvcpdtEe/ph67w1DYzBKjpU1sOW8tLjrxP1l4xsnRSL4a\nOPQx4E3fAA7+CSvJ3vpt4Mo7gaMf9b6W2jIW62wHicuBdcfNMdVEk2NWu4PzucfeyVbJ1glNjbJr\n2Pw8hIl3sed71UzzFatQY164vKqpx+kIa1gsfg2w6UBzOdeIzIw2D3Nwe9QkVKGjZwbY9Y/Aj7cB\nFz0FGlSOQO5j5euljea2ZA5o2WgTQnoAvI1SejcAUEprlNJCq8fjM7CQCUB3qqxjtBqvYH87KG5i\nmVytMxjlr7IWWD7Pqtskn/QzbrRrXYtotOusDaIFE6ZSVrEwR5DwiFwvoFE77dRHqQ8k0kT2ldSl\nMHPnAz2T7J5mLmGrsd5p0Pm6B6l1mpOW4hqQ7kJj8q91MqNbPNd+Do6BDwBfm2EaIEbkz2MrrcJm\nICJBMBbYaAJjLNSW2ZOUvDz9rV8Ftn2NTcSZi4ELd4DA50pqAYw2WZE1sxzkld5O0SO3MUZHEMSu\nq/8GlhBY4rUsRNhVgDb5RvZ8d+dZFawXIlUQpV5LQFqoCJJXmR2l+LUgK1K+zos1o438WKWfPSMe\nzQhMSF/GnLRlaeBXv8OqXYMi9Rrg4icctFHMaMfTvgBAihByNyHkICHkdkKIu55gM5Q2ACvjoKkA\nScXKWmD9kXqpcQBRHGUZYOVVOqG4Ceiq1PcJwOio9DONA6HWkHxsBnENS87Vli9eRSQ32pSABhGz\nkntYD78glD+5h9GlVIcOHXJvs/QSoEWYh54/n3lA4hpmCGz8V4MmhMoEh6ggN4w0r7RzCu1QsETZ\n1u8AN97M6KPGVQHvqFLYzFYMRs2KqTcx72r9UQhTbzYf9/jvsthk7wwTFwKYYUu+FnTrN5t9cwap\nj3Uf94PienPyWo2yEFLVkhvpKkKYc5DD5Zh6C7DvT+2yp26gYBWo3VkIectzO3tNo1Bq4nr2fHd4\nlHRzEBVE6WGedvNRYkdHBUKhPrmKfWzs+QmfEo2tqnmiVOsAihubOxdGFDezSezx7wCqB+vFFQKL\nwT/vkaRGe0Y7CuBqAN+llF4NoALAuTXx04Z/4y5HK21gCYNm+gFGlNexeGdUAooB9tv6XeC+x5ov\nBYsbIQga+1uLNNTpmkHsZz3eiOq/wIZ72tXliyfPyhORWjSg0V7FMv/VFf4nR6nOcaWCuVCGf9Zs\n6NW62L3Lnc9ol2oXq55LvbquyWygAPLj698v0oiN8xintUdftRt46MfAqQ8BH/ltYO9fslXV9v9o\nbFPYzMZXXX+EFgze5OD7gYsfB4oboRmThtIqdozf+CzoVgsdMb/F/2plWQbCyPuab1frAH74NMsH\ncKRYolabsTBQKIE276JrIvax52l5CmTIx3kB9tuoHcC6E6A5y/MXvxbYtI9VGaYvAzKXQIj48JyJ\nxlYEyqrWhLMiSmPlPXs1sP4Y6KRH0pejs8R+az5RREXmGBAt2PmrK+zt1HxjF1D+HlD5LoBbXLdq\nx2hPA5iilO6vv34AzIjb8euGf04qhhRAeT3I8lSw+HRlHctIRxQIGZ+Jm8k3A6PvYoZxpsmPWdzU\nmDGjMojoM6ZbWavHwqhvo12XZJRXLZ7RFlezc6hdwRgqcg/zkoSqfwVCuZ7EqXssJkh9TeN2Olc2\nfz4IX+0INWD8HcDaAWYAObgXrecFOhrefe58YGXc0n27D7h7N6B2gnD+bvoytjwdfi8rmwcauhhy\nD5tMjSuGofcBF+xiE4mxmcPuLwIX7mRSoe2U0ysroB34o+bb7f0MM7Zxw6M3ew1bgVo7vMi9QMql\nQi9+DeOjr5z3H4+NXQdseQGQe8wTGsDuyeoJxvDpyjF2heqDZkq0+jOwCtSLo+1+gEZ1YvwaYMMh\n52YbVuS3AL+8u/FaqALSGhAsgrqjK64HM9b8nzNaNtqU0nkAU4QQPgreCeBkSwdTVgKgoKQarP9b\nZS2LkwGgfoy9GgEe+x7wzr9lBmXfn3pc03JA7YKWrw/GIKGOSn89iUL8a5aIa1j5qtwTXIfbL6Q+\nVtRSXeZcFeYGZRUI0djkaJWSdD1X3dOudZlDExqj8mlSs+9IWIgjdz4Ij8tGJbbUtsYoeZxW7AeW\n5ernrCe88luAzXvNcefRG4HuAsglT4D+aLshh0CYp7anvmAsbK4XOoBNBHyiSF/E4vLZi9k+8Wvq\n0gW9wKE/Bn71+6xkuh0oPcz4pl0E9gEmSfrczcB7P2V2QOLXAue+ZBZV4t/Brdpytm7gshcyY+xH\na2XybcCWZ9jEZZygah1A8lcgqPVoaa2LsXCK/p4fKq9kiedWnoNaFyivXo1fC2za711KroOYO8nw\nBaUWoJ5hidAue+TPAdxLCDkMxh7555aOUtrAKgFpFAiiplZeB3SK7Ifyw9U+8HFgWQZE6WOZ9IHf\ndo8b8mpIrlNAVP9LW7EfhEbYMl3yWUXIvUS1u1HK2wyH/oAl2vxC6mPLQLUzsKdNCGWerl9dD7mH\nTai15eb7ptTF7f3cyxwrb9Y451qLAGoXBGIZttV64wieF6iuYF6lRlh45NyXzEUX2QuB9UdAd37Z\nXvxQPBcY/3VWHl/YDBI1xDT5svvUB4GLtzcq46jAxu3RjzKJ0Bc/3Tzx5QddBWDfp9w/3/4fwLW3\nAUf+d10Gt/7bxK8F1ow5r9gSr3UOC3IDl7mEjcP9f9b8+mLXAWuH2W9qXPkkLgdWj0OL1bnRch8L\nPVlXXI4gbJLvqLRGfeUFNspyYPqNIMuzrf0W9XFBlTYrUxcBbRltSukRSumvUkqvpJR+iFKab+lA\npQ3AikSdcN/vnyZXWQci1NhD6qcCbvJtwBX/BcorL5dlGKHd8ZrqRpsfl1D/8qyVtSwEoXb61/kQ\n17CBCjDPpFkySFoF/PIekBM3+Ts+wDzKDrHe1imI0a53DwE185899+llBlRexb4Pn1ykuliUn2Rr\n8nKWAM3Uk1z1voFaxiJiH5VYT0lutKXVzGMW1zLD3zfJYq88WZe5CFg96t4NuzsLsv+TzGhXDbn1\nwmagspoliq78QSPJ2FEBmXpLvajiB8BAC8wBJxQ2s3Jop4k5ez4w/g6QC3cDw+9jwlvTb2Wryfkr\nINhaatVBibkQhCN+LciyPJuA8ucB001KLorrgfI5IDxnYGRw6eEZzo0mTBSKF/p4gQqM199ZCi6b\nAAAQWCPgH+wBLtgFmnSJ4TdDtZsVaZXPvN6dZ0ZFJNclKK9nD0DWpzRlZW09w+zRp82yPaK1hiEt\nbgQ9+MfOnkfhXLP2rib4C3XUOoBaN6PtqJ3+49PimgZ3OVJtvt/cVUBUBD3wx/6OD9SLWhQAQjAK\no9zDjB4E1uHD17nqJcDKqrpRPbdxDV0Ff+evdTOqITcMWgdjkqQsD2JEASmeWw8xpdn/IzIrn8+f\nDyGi1VkF9YRK9kLmTVKX4V/YDHrg4wAItKwhTFA+B9j5T8CrHwGO/u9GRWd1Bej+PwG0TtZGq1m8\n3jcI64d49PftHx38E+Dy+0GfrXcGqnVCi7+eNQfomYY26WJ0Oyp2BkllDSCuAdW9ZcHcZIBDjQA7\nvgz81+PATx4GztsLOlov6TZOBHp4xhCK2fcpYOyG5l+ZCuw+G7W0gyJ+LfC6+0A2HmbX2wq0TuZc\nKKHRdkZpPSsXL61nD6CXMpYR5XWNklI/XczL60CIgbCvdTFDPvU2+7bzV7DiBKPB8GNoeEKxvB6A\n4F+BUI+Dg0lMSk2KEOLXAq+7l+UA/Ep5Sn0sNl3/2zeUVaDVZcxD92u05R724NFI3ajWJz85gKcN\nsIy+MV/xqp0ND5eDaKynJM8LiGtYhVthE1A4F1TuYaEdzkzKXsgMuSsiLBHVMw0UDF69UGXSnFfe\nwwpnOJRVbBV31Z3+SpeDQFoN+vQXzXkONcpi55ffzxKzAAtBzF7V0CTXvVwLtA5oCUveKH4NsOGI\nWbO8stYsWiX2AfduZV7sVfeAXHs7yBu+w3IMABOjoobj9U0Gy5vo1xdlx+ost+hpA+Sau4D514E+\n8fU2wlSEjd/F1LZvEWeI0d7AOK/l9awVUdZHUrHeIVkr1Y1i0aVPmxGVtSCwxDApAfZ93L7t7DXA\n+mONJbTa5W8QVdaa2wVZFe7cIK5plK8KteZl5vFrgc0vsOTcPh/xR4AZbZ5hUXyuAGqdjNct9tZL\n7H3uJ/eyawNYaInzX7mn7SdeGa2wAg1jafKLn7GvqihhPSV1rvsy9t7864BlWZ37Twsb2UqotLF5\nmKe6nFWBGrWXO0vADf8PeOw7di+9Kw9y7gFvKc5WwHWlnzZ4jIPvZ4Ugw+81XAcB4r9W1yTfZ298\nyyH3sPZjxlwLT0IaDX1nCULKQF378RNA/wjIr/0n8N93gz58J+iPH2vkJgSVJfJqnSwJGST8ZoTa\n0banTfd/HHBanQSFUZb1DMKZY7SXJ9mDoqxs3usNaOjO8qw1Jd7JLQqgsg5UtgymyjnA4AfMHmRd\n21noMJRaa1F/3qHe461urP2KRolrGstqojU3avFrQFammFE59nv+pDzF1Wx1Afj3IHgHEaUuzuW3\nWlPqbWhHUKHRqJezSvzcy4jC8grNtlU72X2v9AOd9byAFgWdvbLRf1DtBC2fw/5eFQdNNjGu0mrW\nxcRIFxOqzKO2sjIAYON+0Kf+pfl3agXpS5luSaIestj/Cdbo9qAlNCb1AMPvZklIN4NHI6xi9M69\nTDcEYN9x4wHzZCjUQHnpv9jHwiWv2g360wecBZOiIoTcRSwJuWYU2mQTgSY30DrHnveHPJ1YdxKY\n+bXm2y0xzhyjrT9sHQ3RFi+U17GuxZym01GBkPF4EOVVrCuMk5j9sjTIQYO3nTsfiErmogkrJcgN\nPDzCjbUfnna9kk+rNAypZ/eautwkKyphyzhy6kP27TQB+M4JFqKhAKQ+aLw5gF8vRuFtn3qgZ/b9\nQO4FidTDPWpnI0xkkmVtgo4Ku5fNUOvW47J6XqDWzbzNnin2e1aXMxpg5iLGH/Yj57v/k+bfvHSu\nOSxixMQ7F+8Bp1HWN/B7x4BbKJC5BKS7ZB+PXUUg9yoImje/mY7dAPSPAN89yY43+D6QFWnz6qHW\nxbReABbuWH+0rsDoUlxFNBYTbxaeaQpSbwDs0bVmqXD89+wCVGcAzgyjXV4PYhQQyvhIRFbWsqQT\npzk59Wmzbr8i5Wx4i5tAD/6RISZ3LYvxTVseQu491zrdQzH8uvRGCD6ME1ff06+N2LvXaEKDVTN7\nNbDhGCj3ZsQ1oMbiCo751wGpX4Ew9TbGzRZUxn4A/HsxPDatN/f1T/nTH29uVIGGRrEfT7u6grXl\nagYaZd6ZuIaxiQC2KshcyhKX+fOZB5c/jyUhe8fN+sdnA7IXA6/7KXD9LcCVPwTlGtJG1LqAtaeg\nTTVhflCBhVgu3MGOd90/gz5nKZ1WVjY44rPXABubFKloURZ+4pWQ7SgKyr3eXWte4TgzjHZpA+M1\nc+S3+IhPrwOWpRqGVIuCZl/VZPuMM89Y62Tx3tj17PXsNcDG/XZvgXvP9z8EPH+zy3l4j7f6dfmJ\n3Yr1kAoP72iCvcBm3yeZghhvy7XhYOMhqq509vJi17HDxa+qK/xlG+ENv16MXO+KzWN7fnXFpd6G\n50YjllLzjL/zy71Mk9kPuNG2Jp56Y428RGELM9b9w/4S12cajt3EurzsusVZJE3uBV79S/+dnIbf\n0zjexK9bPhRYtxugHj5pUqRSW8YSiPFrWAsxpxBKEHQVTn945AzF6TfaGgFK61mGn4NUgUKTZQmP\naXPPT1kFeAnH13UVXD1FGmEJDIAN0nNO2Hm84hogcwHLmO/7U2cdDrEfWJ5oGGtlRfMJiBfWcO9c\ni9qLXybfAky9CeToHzZikEb9jbmr7NcTuw645FEWJpD6mOqe3ovPZ2afS6xyr8dvWb7caxbN4Vog\nUm89FNaCGJAXShvYfbSWShupfcVzWVhkVbx9o3JGggBj73JvYxYUmUvqTsI19SIVD3OhdrHtU6+G\nUF2AsEZXMfS0XXD6jba0Gugsm7sZd0gQmhHxy+tYkop7fjTy/9u79/Coy2vR4981IQmgCQQIISEg\nICJ4VxQFhEDZutm2Su3utuCubjk9Km0RWmu9X+iutuIjj6hVi2zliKV6hFpLC9ZLMZjt8cZVQG7C\nJlwCAQSEXMht1vnj/SWZSWaSIZlJZmB9nmeeJzO/38xv5bbmnfeyXjcdKZy6JB+mpViWCVu+46q8\nFQ3FlxyiAPvxdDc/9uJ5roTkVyE2Sy3rAakl9X/goq5roim1sx5qW9o1KY0Xv+wdCuMeQt/7Dewa\n4fVBBrQqpRo5FDCVS4HC0cjgv7pZBbUV/mq7JaojrJ1c2aClHUm3hgIVafX95+DeUGu8wdzaWSXR\nVOJ2z/Y3WOEqgb9Hb/NWSYmg2lyiKrq06eR6IvwdXMOgrAd6tG/z52+7CrpvbfkgZKDksshqlZyC\n2j9p121DFDBAqD78B5tZLFOW6QapAluMJb1cYg13fucDTS/D7vQ1LPsNJJfh3xuiT64yDVZPhnPf\ncH/IoQrrlHUP3pUlqRLf8TD1OvYMhU9/6jYeDUza2iH4o2F5F9eFlFrinZfRuNxkh4rgLawOng3J\nZW7g9Xi6m4oWND9aI5txUltitTaeytObT/aVp7l4AlvlyWXIxn9zLfCW7EjSnLJMF2eD368Efo/+\nJDg4GGlR2cxTUHIpsu7mxnO4w6no6pbCR1KgqTmxeGM/ScRB0s6C0w8Ed0VUpDe/sUFZDzcBP1Dq\nUXx7wnw0LOvhWuZNTQs81tvt7p69GvZcFvqcHpvcKHp5d7ew4WiDegrl3YPrVfiq6osXBcWTAX/8\nmyvgk3wcLnwloOiOBE+tqy0xWTjCJeNRj9evRKtVeTq6L+DTyc5R0Odj11eZegz5arwbAKxNpEmV\nSGUE0xEr0oLnq/qqm29t1w4kBfbnH++KrvwRHO/Ssh1JmuOrdGMWgb/fs5bg3x+wY01yOaSUNN8g\nMHV0/Q1epbwI+8mzV7V+AweIfPOBU1AcJO0GG36Cm/bXXE3a0kzXmgukSfj3hK4OS2mmSyT+Juqa\n+JNdDZTen4X+I02qhKEv1s9o6HQYWdlgYUtZj+A93sQfuh942WNu0MhXCV9+H/70WvB0usDnFF0a\nsPghCT74lVuZF6jqtODByMLR0C/fdRlVp6I78ryBSC/h+mrqF/CsuDX8ys3KtPrl6OCWh5f1chuc\nFga8QSqugJVfvNZ5g9VklenuZ3pwMCJR7s8G1zJrmLS/+pfgAWNflbel1AlstHEqqzzdzd3OWen6\nq5uTdNxtzxaNZfwdTmDzgVNM2yTtpirRhUra0PzKsrIe+BpGX54RfqpRmVcRsDlSAz02h66FnPml\n+whY2y/+TS761dX1xytOd/VMaoLfGLRhy3TPpa5S3IWvwsop7vUazjKpCHjO3qHuY2ftwGO4pbmB\ne/UVjka67PY2Vejivp9OX9cnbalxSfV4Gix5AeZ+5vY1bKgiHVK8EqsAvhq04F54/S14+9n6rpKd\nI10Bq/0X1y+gafg9pR5z31dTb5wt5atunLTVF9y/qxK8D6BpWo1LvtL5SGT95NmrTqy0chOCyk2Y\nIG2StOWj0BvaAN6O57sbL9ooyapP9utvCG7VgUvCjWrd+sJXJyvrgSQ1s5ksuL7ihW+EPlZ0mavH\nXcdVVKPSG2jcNQKy16A7AmuZeDW1j/VyO3f/cTG8sQjGPuy2uQr3zxDYSi26FOl8qPk6Cr4q5Otz\n3M+qOjWgwpmXyDserp9qJ37Xej5wjlsMce4bbmOA/Q0KBVWkedtESd3zdO9FcLO3WWvt4O/K2yHl\nKLp9rNc9EmIJ8NFcwI9WxmDmhmh9sahw/Cluq7JD1tKOWMqxptc/BNo9AqK0KjQWH8ZOFm2StPWT\n6XAkzOjzjjGQtaFx6yulBN9Bb55owX2wfmL9Mb9bsu4vDzG1qLRn6KJGpZnNbk3fIqlH8e3Kc18X\njoY+H0FhQNKu6eBas+/McrMwBr8F//QAvtKc4CpoDdUmPG8bKA1VTrOhDhXoBzPg//4ZrpkavLlo\nh7JGU+204nRv1+6NrgJbxyNuf8OGcQS+2fmqYOQsWLDEq9syxXWtbL4WLpvjdn057u1a02hhkcBZ\nS1zffLT5k7yWdhP99FWd3CbBka7qNK6k6pfXt+01fVXRmwFzEmrBJmwt0PkALH0WbpwQ/PjRHDjS\nHznevfGEBF+Vayl2POhas7W1psEbhDwWuqh6x2/w7R6J/6wlwY+X9aj7uBdVNR3w77gSzvy7S9bD\nZ8NHdwccT3FTCQ8PQL77v9FX3gOEZneeq+1DLvIKV+26ounzwXXP7LkUJk6A92cGzybp+E2DEXlv\nc9/950PPtW5DiKrOjSvoVaZBh8Bpc73gzfn19zd9zxVWOuvvsH8w7B4OA99x1zsQovrg1gj3HzxR\nNanNDzRrB1gyJzbXP1mt/Y+2v2aHcvwnsrnHKaZt3s6+Phv2DkW2fCf48S3fgQH/qN8BJFB1Knpo\ngDtn0BLXKq3xugf2DIPsNaFnmNQk42+4pLs6GapOw18S4cKQE3G8m+vPrUqFvZfgowNBC0f8KbDj\nW3DVPehfXyDiRSW1i2v2DnV9hZFMo6o+DS74A7y5wM0eCTqWGjyq7/e5a+w/zyujeZqLbfcVwRuq\nVqQ33b/Y8RB8+JAr/r/tn93c3j3DvKXqbVjWsrqjt43aybho5hSTsR02f6f5805RbfcZpKYD+vbs\n4B3NN18LgxbD9nGNz69Mc32PW66F81+D5HJkv9edUDga+hY0bhWCG2j7YAb8ZyU8vdWr7tfDq3Ed\nZqeSVhGXpHZeCZmb8G9ruBxYYPCbbjuqSDcfBpeEjvSBNbe4LpeI9rkDCh50e/Y1dLwbfDq9/r52\ncC3r/efh6xDQ7k8pRfYEzMmtSGt6tkdJNvT+FA6e696gOpTDlm+7ZN6mZS3Ffe/RXmlp2l7xRe7/\n3oTUdkm7zNvgoOBBd7+ys5vhcNo3YZYU+7xkOBJfaqmbHVBbwKlwtGt9huzn9cEFr8KYR1zr8eC5\nAUWcIqybcaJSSuDjX3j92aMbH9ckyH/4xF5TatyMjgvnI98MiH4fX02yq35Xk4z/YODAnAYPpFak\nN798OaUEPrzf3T/ezdUZSSkJXsZujImKtunTrnVoALridlfE57T9kLMK3fDd8OcfHAID3sX/5fVw\nvIsral/hPtJL9enhF+Z94fXDnbYP2T4OzVzvyrhGuintiVJxc4Iv+j/w2R2Nj2+e0Pix5nTZCeN/\nDl/+K7r2ltZG2Jg/2c38yNwYPCBa1h12BbS0K9OaX068PWDaY22iDhyDMMZETdsO0fpTXf2Pj+52\nU+cG/dXtvhFO0nE4e7GrRlbT0fW37r4Cen2BbvtW89cr74buutwl605NFItqLW/wy5dSGb0WcUVX\neP9xiEXCBkBcsu65vsFCpiTYObp+vndFGlp9gi3mlGP1da2NMVHV9vNqDg5xc4X7/jfkrA6/Iza4\nEprdt9ZP0TowBP5nXPhuiIb8KW4Zd1kPt3FwrLpHSIJzF+LfHmKvyZYq6xF69kU0+ZOh5xeN+8t9\nVW6RTHWyq35YdoKbm6bvdm/Oxpioa5/JkCXZbkXgwtebPu/rs+HPAdPLUkrdhqa5n0S2+zq4N4ii\ny6Bzcey6R8At614R4V6N8SStuHH3h6/arfSs3Z8w0v0ka319Nix5LnoxGmPqtG2fdqCa1OYXOdSk\nBC8nl5q65ev+SGcJpJS4WSpjftW43Gk0xarrJcZ8dGg8Z7w8A/7fz920wMCyrJFSnyu+ZYyJuvZL\n2i1R0QV6rcYfSX92reNd3eyUlJLYxZWoOh/Avy9EF4w/xXVxrLzNqxdixeiNiReJtVa0JhUunO92\n54hU7XRCGxhr7LzXQ891B9h3iWtpD3vWCiwZE0dENZLtS1pxARGNbIuUGEouxTfhNvyLFrRvHMYY\nEzFBVRv1AydWS7ulum/GX9SK3aGNMSZOtLqlLSI+YAWwW1WvC3G8/VvaxhiTcGLX0p4OfBmF1zHG\nGNOMViVtEckFrgH+KzrhGGOMaUprW9pPAb/E+j+MMaZNtHietoh8GyhW1TUiMoYma2LOCPh6jHcz\nxhhTL9+7Na3FA5Ei8hvgh0A10AlIA95U1ZsbnGcDkcYYc8JCD0RGZZ62iOQBv7DZI8YYEy2n8jxt\nY4w5SZwaKyKNMSbhWEvbGGMSniVtY4xJIJa0jTEmgVjSNsaYBGJJ2xhjEoglbWOMSSCWtI0xJoFY\n0jbGmARiSdsYYxKIJW1jjEkglrSNMSaBWNI2xpgEYknbGGMSiCVtY4xJIJa0jTEmgVjSNsaYnWmE\nwAAADz1JREFUBGJJ2xhjEoglbWOMSSCWtI0xJoFY0jbGmARiSdsYYxKIJW1jjEkgHdrrwqmp/aio\nKGyvy5sYS009g4qKHe0dhjEnHVHV2F5ARCHUNYRYX9u0HxEh9O/dGBMZQVWl4aPWPWKMMQnEkrYx\nxiQQS9rGGJNALGkbY0wCaXHSFpFcEVkmIhtEZJ2ITItmYKcan8/H9u3bmzxn8uTJPPzww20UUbD+\n/fuzbNmydrm2MaZea1ra1cCdqnouMBz4qYgMbk0wvXr1Q0RiduvVq19rwospN9siPrTnm4Mxpmkt\nnqetqvuAfd7XJSKyEegNbGrpaxYXFxLLaWLFxfGTGBuy6Y/GmEhEpU9bRPoBFwGfRuP14sHMmTPJ\nzc0lPT2dIUOG8MEHH6CqPP744wwcOJDMzEwmTpzIkSNHACgsLMTn8zF37lx69+5N7969mTVrVt3r\nff7554wYMYKMjAx69+7NHXfcQXV1dati/Nvf/sbFF19MRkYGV155JevWras71r9/f2bNmsWFF15I\nRkYGkyZNorKysu74E088QU5ODrm5ubz00kt13TNz585lwYIFPPHEE6SnpzNhwoS656xevTrs6xlj\n2oiqtuoGnA6sACaEOa6gIW5oQ+HPjdat8TVD2bx5s/bp00f37dunqqqFhYW6fft2nT17tg4fPlyL\nioq0srJSp0yZopMmTVJV1R07dqiI6I033qjl5eW6bt06zczM1H/84x+qqrpy5Ur99NNP1e/3a2Fh\noZ5zzjn69NNP111TRHTbtm1NxnXLLbfoQw89pKqqq1at0p49e+rnn3+ufr9f58+fr/369dPKykpV\nVe3Xr59efvnlum/fPj18+LAOGTJE58yZo6qqb7/9tmZnZ+vGjRu1vLxcf/jDH6rP56u7fuB1ajX1\neqHE/ndpN7ud7DdUtXFObVVLW0Q6AIuAV1X1L+HPnBFwy2/NJdtEUlISlZWVrF+/nurqavr27Uv/\n/v2ZM2cOjz32GNnZ2SQnJ/Pwww+zaNEi/H5/3XNnzJhBx44dOe+885g8eTKvvfYaAJdccgnDhg1D\nROjbty+33XYby5cvb3GMc+fOZcqUKVx66aWICDfddBOpqal88skndedMnz6drKwsunbtyrXXXsua\nNWsAWLhwIZMnT2bw4MF07NiRGTNmRHTNcK9njImGfIJzZWitrT3yMvClqj7d9GnhA4hHZ555JrNn\nz2bGjBls2LCB8ePHM2vWLAoLC7n++uvx+dx7naqSnJxMcXEx4AYTc3Nz617njDPOYP369QBs3bqV\nO++8kxUrVlBeXk51dTVDhw5tcYyFhYXMnz+fZ599ti6WqqoqioqK6s7Jysqq+7pz587s3bsXgKKi\nIi677LK6Y3369ME1jpsW7vWMMdEwxrvV+lXIs1oz5W8k8O/At0RktYisEpHxLX29eDNx4kQKCgrY\nuXMnAPfccw99+/bl7bff5tChQxw6dIjDhw9TWlpKdnY24BLnrl276l5j586d5OTkAPDjH/+YIUOG\nsG3bNo4cOcJjjz0WUaIMp0+fPjzwwANBsZSUlPCDH/yg2edmZ2eze/fuoDgDZ6/E00wWY0ywFidt\nVf1IVZNU9SJVvVhVL1HVv0czuPayZcsWPvjgAyorK0lJSaFTp04kJSUxZcoU7r///rpEfuDAARYv\nXhz03F//+teUl5ezYcMG5s2bx8SJEwE4duwY6enpdO7cmU2bNvHCCy+0KsZbb72V3//+93z22WcA\nlJaWsnTpUkpLS5t97g033MC8efPYtGkTZWVlPProo0HHs7Kymp0zboxpH3G1IjIr6wxAYnZzr9+8\niooK7r33XjIzM8nJyeHAgQP89re/Zdq0aUyYMIGrr76aLl26MGLEiLqkWSsvL4+BAwdy1VVXcffd\ndzNu3DgAnnzySRYsWEB6ejq33357XTKvFUnrNvCcoUOHMnfuXKZOnUq3bt0YNGgQr7zySkSvN378\neKZNm8bYsWMZNGgQw4cPByA1NRWAH/3oR2zYsIFu3brxve99L+L4jDGxZ6VZo6SwsJABAwZQVVVV\n1+edKDZt2sT5559PRUVF1GK30qzGtJaVZo25RHoTeuutt6isrOTw4cPcc889XHfddQn3ZmPMqcj+\nS6MoGl0I5513Hunp6XW3tLQ00tPT66YORsucOXPo2bMnZ511FsnJyTz//PNRfX1jTGxY94iJCese\nMaa1rHvEGGMSniVtY4xJIJa0jTEmgVjSNsaYBGJJ2xhjEogl7TgRyXZjkbrmmmt49dVXQx6rrfsd\nWJkwlrEYY6IrrpJ2r9xesd1uLLdXe3+LYUVzmfjSpUu56aabIrrW2LFjefnll2MWizEmulpbmjWq\nivcUx7SKa/GM4ti9eCvF05z1eIrFGBMsrlra8STethvbsWMHGRkZdfdvvfXWoPrWN998M8888wwQ\n3Hr2+/3cddddZGZmMnDgQJYsWVL3nAcffJCCggKmTp1Keno606ZNqzv23nvvMWjQILp168bUqVNP\n8KdnjIkVS9ohbNmyheeee46VK1dy9OhR3nnnHfr168czzzzD4sWLKSgooKioiIyMDH7yk58EPTc/\nP59t27bxzjvvMHPmTJYtWwa43XBmz57NoUOH+Pjjj1m2bNkJLR3v168fXbp0YfXq1QAUFBSQlpbG\n5s2bAVi+fDljxoxp9LwXX3yRpUuXsnbtWlasWMGiRYvqjj366KOMGjWK3/3udxw9erQu6QMsWbKE\nlStXsnbtWt544w3efffdiGM1xsSOJe0Q4nW7sdGjR7N8+fK6nXK+//3vs3z5cnbs2MGxY8e44IIL\nGj1n4cKF/OxnPyMnJ4euXbty3333RXSt++67j7S0NPr06cPYsWNtazFj4kRc9WnHi3jdbiwvL4/F\nixfTu3dv8vLyGDNmDPPnzyc1NZVRo0aFfE5RURF9+vQJiikSDbcWKykpOaFYjTGxYS3tMOJxu7G8\nvDwKCgpYvnw5eXl5jBw5ko8++qjufijZ2dlBMRUWFgYdt5kixiQWS9ohxOt2YwMHDqRTp0784Q9/\nIC8vj7S0NLKysnjzzTfDJu0bbriBZ555hj179nD48GFmzpwZdNy2FjMmwahqTG+Agoa4oQ1l9c5S\nd35sblm9sxpdM5QvvvhChw0bpunp6dq9e3e99tprde/ever3+/Wpp57Ss88+W9PT03XgwIH6wAMP\nqKrqjh07VER07ty5mpOTo9nZ2frkk0/WveaHH36ogwcP1rS0NB09erQ+8sgjOmrUqLrjPp9Pt23b\n1mxskyZN0jPPPLPu/l133aVdunRRv99f99jYsWP1pZdeUlXV6upqvfPOO7V79+46YMAAff7559Xn\n82lNTY2qqn788cc6aNAg7datm06fPj1kLJMnT9aHHnooop9drfC/d7vZzW6R3VDVxjnV6mlHSSJv\nNxYLVk/bmNayetoxdzK9CRlj4pMl7ShKpO3GjDGJybpHTExY94gxrWXdI8YYk/AsaRtjTAKxpG2M\nMQmk3Zaxp6aeYavxTmKpqWdQUdHeURhz8mnVQKSIjAdm41rsL6nqzBDnhBmINMYYE16UByJFxAf8\nDvhn4FxgkogMbnmA8SS/vQNogfz2DqAF8ts7gBbIb+8AWiC/vQNogfz2DqAF8tvkKq3p0x4GbFXV\nQlWtAl4HJkQnrPaW394BtEB+ewfQAvntHUAL5Ld3AC2Q394BtEB+ewfQAvltcpXWJO3ewK6A+7u9\nx4wxxsSIzR4xxpgE0uKBSBG5ApihquO9+/fiqlLNbHCejUIaY0wLhBqIbE3STgI2A+OAvcBnwCRV\n3diaII0xxoTX4nnaqlojIlOBd6mf8mcJ2xhjYijmBaOMMcZET8wGIkVkvIhsEpEtInJPrK7TGiKS\nKyLLRGSDiKwTkWne4xki8q6IbBaRd0SkS3vH2pCI+ERklYgs9u7Hdcwi0kVEForIRu/nfXkCxPxz\nEVkvIl+IyAIRSYm3mEXkJREpFpEvAh4LG6OI3CciW73fw9VxFPMTXkxrRORPIpIe7zEHHPuFiPhF\npFvAYzGLOSZJO4EW3lQDd6rqucBw4KdenPcC76vq2cAy4L52jDGc6cCXAffjPeangaWqOgS4ENhE\nHMcsIjnAHcAlqnoBritxEvEX8zzc/1mgkDGKyDnADcAQ4F+A56V9akmEivld4FxVvQjYSmLEjIjk\nAlcBhQGPDSGGMceqpZ0QC29UdZ+qrvG+LgE2Arm4WF/xTnsF+G77RBia94dyDfBfAQ/Hbcxeq2mU\nqs4DUNVqVf2GOI7ZkwScJiIdgE7AHuIsZlX9b+Bwg4fDxXgd8Lr389+BS47D2iLOQKFiVtX3VdXv\n3f0E938IcRyz5ynglw0em0AMY45V0k64hTci0g+4CPcHk6WqxeASO9Cz/SILqfYPJXBAIp5j7g8c\nFJF5XpfOiyLSmTiOWVWLgFnATlyy/kZV3yeOYw7QM0yMDf8v9xCf/5f/C1jqfR23MYvIdcAuVV3X\n4FBMY7bFNYCInA4sAqZ7Le6Go7NxM1orIt8Gir1PCE195IqbmHFdC5cAz6nqJUAp7iN8PP+cu+Ja\nTGcAObgW978TxzE3IRFiBEBEHgCqVDWu99cTkU7A/cAjbX3tWCXtPUDfgPu53mNxx/vouwh4VVX/\n4j1cLCJZ3vFewP72ii+EkcB1IrIdeA34loi8CuyL45h341okK7z7f8Il8Xj+Of8TsF1VD6lqDfBn\nYATxHXOtcDHuAfoEnBdX/5cicguu2+/GgIfjNeYzgX7AWhH5H1xcq0SkJzHOf7FK2p8DA0XkDBFJ\nASYCi2N0rdZ6GfhSVZ8OeGwxcIv39X8Af2n4pPaiqveral9VHYD7uS5T1ZuAvxK/MRcDu0RkkPfQ\nOGADcfxzxnWLXCEiHb1BpHG4gd94jFkI/tQVLsbFwERvFkx/YCBuUVx7CIpZXJnnXwLXqWpgJfa4\njFlV16tqL1UdoKr9cQ2Ti1V1vxfzD2IWs6rG5AaMx62Y3ArcG6vrtDLGkUANsAZYDazy4u4GvO/F\n/y7Qtb1jDRN/HrDY+zquY8bNGPnc+1m/CXRJgJgfwQ1Of4Eb0EuOt5iBPwJFQAXujWYykBEuRtys\njK+87+vqOIp5K24Gxirv9ny8x9zg+HagW1vEbItrjDEmgdhApDHGJBBL2sYYk0AsaRtjTAKxpG2M\nMQnEkrYxxiQQS9rGGJNALGkbY0wCsaRtjDEJ5P8Dx0nCuVog0DgAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f367ed96908>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tbl[['sepal_length', 'sepal_width']].plot(kind='area')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f367ed8f518>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAW0AAAEACAYAAAB4ayemAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x7f367ef7f240>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "tbl[['sepal_length', 'sepal_width']].plot.area()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exporting CASTables to Other Formats"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: The file /u/username/data/irisout.csv already exists. Specify the replace option to overwrite an existing file.\n",
      "ERROR: The action stopped due to errors.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div class=\"cas-output-area\"></div>\n",
       "<p class=\"cas-results-performance\"><small><span class=\"cas-elapsed\">elapsed 0.0049s</span> &#183; <span class=\"cas-user\">user 0.001s</span> &#183; <span class=\"cas-sys\">sys 0.003s</span> &#183; <span class=\"cas-memory\">mem 2.14MB</span></small></p>"
      ],
      "text/plain": [
       "+ Elapsed: 0.0049s, user: 0.001s, sys: 0.003s, mem: 2.14mb"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.save(name='data/irisout.csv', caslib='casuser')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "ERROR: The SASHDAT file /u/username/data/irisout.sashdat already exists. Specify the replace option to overwrite an existing file.\n",
      "ERROR: The action stopped due to errors.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div class=\"cas-output-area\"></div>\n",
       "<p class=\"cas-results-performance\"><small><span class=\"cas-elapsed\">elapsed 0.000919s</span> &#183; <span class=\"cas-user\">user 0.001s</span> &#183; <span class=\"cas-memory\">mem 0.134MB</span></small></p>"
      ],
      "text/plain": [
       "+ Elapsed: 0.000919s, user: 0.001s, mem: 0.134mb"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.save(name='data/irisout.sashdat', caslib='casuser')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Sorting, Data Selection, and Iteration"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Fetching Data with a Sort Order"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASTable('DATA.IRIS', caslib='CASUSER(username)').sort_values(['sepal_length', 'sepal_width'])"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.sort_values(['sepal_length', 'sepal_width'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASTable('DATA.IRIS', caslib='CASUSER(username)').sort_values(['sepal_length', 'sepal_width'])"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl = tbl.sort_values(['sepal_length', 'sepal_width'])\n",
    "sorttbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>4.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>4.4</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.4</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.1</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.6</td>\n",
       "      <td>3.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.6</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           4.3          3.0           1.1          0.1  setosa\n",
       "1           4.4          2.9           1.4          0.2  setosa\n",
       "2           4.4          3.0           1.3          0.2  setosa\n",
       "3           4.4          3.2           1.3          0.2  setosa\n",
       "4           4.5          2.3           1.3          0.3  setosa\n",
       "5           4.6          3.1           1.5          0.2  setosa\n",
       "6           4.6          3.2           1.4          0.2  setosa\n",
       "7           4.6          3.4           1.4          0.3  setosa\n",
       "8           4.6          3.6           1.0          0.2  setosa\n",
       "9           4.7          3.2           1.6          0.2  setosa"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>145</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>146</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>147</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>149</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "     sepal_length  sepal_width  petal_length  petal_width    species\n",
       "145           7.7          2.6           6.9          2.3  virginica\n",
       "146           7.7          2.8           6.7          2.0  virginica\n",
       "147           7.7          3.0           6.1          2.3  virginica\n",
       "148           7.7          3.8           6.7          2.2  virginica\n",
       "149           7.9          3.8           6.4          2.0  virginica"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.tail(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASTable('DATA.IRIS', caslib='CASUSER(username)').sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl = tbl.sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])\n",
    "sorttbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>7.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7.4</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.9</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>7.3</td>\n",
       "      <td>2.9</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.8</td>\n",
       "      <td>1.6</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>7.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>6.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width    species\n",
       "0           7.9          3.8           6.4          2.0  virginica\n",
       "1           7.7          2.6           6.9          2.3  virginica\n",
       "2           7.7          2.8           6.7          2.0  virginica\n",
       "3           7.7          3.0           6.1          2.3  virginica\n",
       "4           7.7          3.8           6.7          2.2  virginica\n",
       "5           7.6          3.0           6.6          2.1  virginica\n",
       "6           7.4          2.8           6.1          1.9  virginica\n",
       "7           7.3          2.9           6.3          1.8  virginica\n",
       "8           7.2          3.0           5.8          1.6  virginica\n",
       "9           7.2          3.2           6.0          1.8  virginica"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Iterating Through Columns and Rows"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Basic Iteration"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sepal_length\n",
      "sepal_width\n",
      "petal_length\n",
      "petal_width\n",
      "species\n"
     ]
    }
   ],
   "source": [
    "for col in sorttbl:\n",
    "    print(col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0 sepal_length\n",
      "1 sepal_width\n",
      "2 petal_length\n",
      "3 petal_width\n",
      "4 species\n"
     ]
    }
   ],
   "source": [
    "for i, col in enumerate(sorttbl):\n",
    "    print(i, col)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sepal_length double\n",
      "sepal_width double\n",
      "petal_length double\n",
      "petal_width double\n",
      "species varchar\n"
     ]
    }
   ],
   "source": [
    "for col, dtype in zip(sorttbl, sorttbl.dtypes):\n",
    "    print(col, dtype)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Iterating Over Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "sepal_length CASColumn('DATA.IRIS', caslib='CASUSER(username)')['sepal_length'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])\n",
      "\n",
      "sepal_width CASColumn('DATA.IRIS', caslib='CASUSER(username)')['sepal_width'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])\n",
      "\n",
      "petal_length CASColumn('DATA.IRIS', caslib='CASUSER(username)')['petal_length'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])\n",
      "\n",
      "petal_width CASColumn('DATA.IRIS', caslib='CASUSER(username)')['petal_width'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])\n",
      "\n",
      "species CASColumn('DATA.IRIS', caslib='CASUSER(username)')['species'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])\n",
      "\n"
     ]
    }
   ],
   "source": [
    "for col, obj in sorttbl.iteritems():\n",
    "    print(col, obj)\n",
    "    print('')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0, sepal_length          7.9\n",
      "sepal_width           3.8\n",
      "petal_length          6.4\n",
      "petal_width             2\n",
      "species         virginica\n",
      "Name: 0, dtype: object)\n",
      "(1, sepal_length          7.7\n",
      "sepal_width           2.6\n",
      "petal_length          6.9\n",
      "petal_width           2.3\n",
      "species         virginica\n",
      "Name: 1, dtype: object)\n",
      "(2, sepal_length          7.7\n",
      "sepal_width           2.8\n",
      "petal_length          6.7\n",
      "petal_width             2\n",
      "species         virginica\n",
      "Name: 2, dtype: object)\n",
      "(3, sepal_length          7.7\n",
      "sepal_width             3\n",
      "petal_length          6.1\n",
      "petal_width           2.3\n",
      "species         virginica\n",
      "Name: 3, dtype: object)\n",
      "(4, sepal_length          7.7\n",
      "sepal_width           3.8\n",
      "petal_length          6.7\n",
      "petal_width           2.2\n",
      "species         virginica\n",
      "Name: 4, dtype: object)\n",
      "(5, sepal_length          7.6\n",
      "sepal_width             3\n",
      "petal_length          6.6\n",
      "petal_width           2.1\n",
      "species         virginica\n",
      "Name: 5, dtype: object)\n",
      "(6, sepal_length          7.4\n",
      "sepal_width           2.8\n",
      "petal_length          6.1\n",
      "petal_width           1.9\n",
      "species         virginica\n",
      "Name: 6, dtype: object)\n",
      "(7, sepal_length          7.3\n",
      "sepal_width           2.9\n",
      "petal_length          6.3\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 7, dtype: object)\n",
      "(8, sepal_length          7.2\n",
      "sepal_width             3\n",
      "petal_length          5.8\n",
      "petal_width           1.6\n",
      "species         virginica\n",
      "Name: 8, dtype: object)\n",
      "(9, sepal_length          7.2\n",
      "sepal_width           3.2\n",
      "petal_length            6\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 9, dtype: object)\n",
      "(10, sepal_length          7.2\n",
      "sepal_width           3.6\n",
      "petal_length          6.1\n",
      "petal_width           2.5\n",
      "species         virginica\n",
      "Name: 10, dtype: object)\n",
      "(11, sepal_length          7.1\n",
      "sepal_width             3\n",
      "petal_length          5.9\n",
      "petal_width           2.1\n",
      "species         virginica\n",
      "Name: 11, dtype: object)\n",
      "(12, sepal_length             7\n",
      "sepal_width            3.2\n",
      "petal_length           4.7\n",
      "petal_width            1.4\n",
      "species         versicolor\n",
      "Name: 12, dtype: object)\n",
      "(13, sepal_length          6.9\n",
      "sepal_width           3.1\n",
      "petal_length          5.1\n",
      "petal_width           2.3\n",
      "species         virginica\n",
      "Name: 13, dtype: object)\n",
      "(14, sepal_length          6.9\n",
      "sepal_width           3.1\n",
      "petal_length          5.4\n",
      "petal_width           2.1\n",
      "species         virginica\n",
      "Name: 14, dtype: object)\n",
      "(15, sepal_length           6.9\n",
      "sepal_width            3.1\n",
      "petal_length           4.9\n",
      "petal_width            1.5\n",
      "species         versicolor\n",
      "Name: 15, dtype: object)\n",
      "(16, sepal_length          6.9\n",
      "sepal_width           3.2\n",
      "petal_length          5.7\n",
      "petal_width           2.3\n",
      "species         virginica\n",
      "Name: 16, dtype: object)\n",
      "(17, sepal_length           6.8\n",
      "sepal_width            2.8\n",
      "petal_length           4.8\n",
      "petal_width            1.4\n",
      "species         versicolor\n",
      "Name: 17, dtype: object)\n",
      "(18, sepal_length          6.8\n",
      "sepal_width             3\n",
      "petal_length          5.5\n",
      "petal_width           2.1\n",
      "species         virginica\n",
      "Name: 18, dtype: object)\n",
      "(19, sepal_length          6.8\n",
      "sepal_width           3.2\n",
      "petal_length          5.9\n",
      "petal_width           2.3\n",
      "species         virginica\n",
      "Name: 19, dtype: object)\n",
      "(20, sepal_length          6.7\n",
      "sepal_width           2.5\n",
      "petal_length          5.8\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 20, dtype: object)\n",
      "(21, sepal_length           6.7\n",
      "sepal_width              3\n",
      "petal_length             5\n",
      "petal_width            1.7\n",
      "species         versicolor\n",
      "Name: 21, dtype: object)\n",
      "(22, sepal_length          6.7\n",
      "sepal_width             3\n",
      "petal_length          5.2\n",
      "petal_width           2.3\n",
      "species         virginica\n",
      "Name: 22, dtype: object)\n",
      "(23, sepal_length           6.7\n",
      "sepal_width            3.1\n",
      "petal_length           4.4\n",
      "petal_width            1.4\n",
      "species         versicolor\n",
      "Name: 23, dtype: object)\n",
      "(24, sepal_length          6.7\n",
      "sepal_width           3.1\n",
      "petal_length          5.6\n",
      "petal_width           2.4\n",
      "species         virginica\n",
      "Name: 24, dtype: object)\n",
      "(25, sepal_length           6.7\n",
      "sepal_width            3.1\n",
      "petal_length           4.7\n",
      "petal_width            1.5\n",
      "species         versicolor\n",
      "Name: 25, dtype: object)\n",
      "(26, sepal_length          6.7\n",
      "sepal_width           3.3\n",
      "petal_length          5.7\n",
      "petal_width           2.5\n",
      "species         virginica\n",
      "Name: 26, dtype: object)\n",
      "(27, sepal_length          6.7\n",
      "sepal_width           3.3\n",
      "petal_length          5.7\n",
      "petal_width           2.1\n",
      "species         virginica\n",
      "Name: 27, dtype: object)\n",
      "(28, sepal_length           6.6\n",
      "sepal_width            2.9\n",
      "petal_length           4.6\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 28, dtype: object)\n",
      "(29, sepal_length           6.6\n",
      "sepal_width              3\n",
      "petal_length           4.4\n",
      "petal_width            1.4\n",
      "species         versicolor\n",
      "Name: 29, dtype: object)\n",
      "(30, sepal_length           6.5\n",
      "sepal_width            2.8\n",
      "petal_length           4.6\n",
      "petal_width            1.5\n",
      "species         versicolor\n",
      "Name: 30, dtype: object)\n",
      "(31, sepal_length          6.5\n",
      "sepal_width             3\n",
      "petal_length          5.8\n",
      "petal_width           2.2\n",
      "species         virginica\n",
      "Name: 31, dtype: object)\n",
      "(32, sepal_length          6.5\n",
      "sepal_width             3\n",
      "petal_length          5.2\n",
      "petal_width             2\n",
      "species         virginica\n",
      "Name: 32, dtype: object)\n",
      "(33, sepal_length          6.5\n",
      "sepal_width             3\n",
      "petal_length          5.5\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 33, dtype: object)\n",
      "(34, sepal_length          6.5\n",
      "sepal_width           3.2\n",
      "petal_length          5.1\n",
      "petal_width             2\n",
      "species         virginica\n",
      "Name: 34, dtype: object)\n",
      "(35, sepal_length          6.4\n",
      "sepal_width           2.7\n",
      "petal_length          5.3\n",
      "petal_width           1.9\n",
      "species         virginica\n",
      "Name: 35, dtype: object)\n",
      "(36, sepal_length          6.4\n",
      "sepal_width           2.8\n",
      "petal_length          5.6\n",
      "petal_width           2.2\n",
      "species         virginica\n",
      "Name: 36, dtype: object)\n",
      "(37, sepal_length          6.4\n",
      "sepal_width           2.8\n",
      "petal_length          5.6\n",
      "petal_width           2.1\n",
      "species         virginica\n",
      "Name: 37, dtype: object)\n",
      "(38, sepal_length           6.4\n",
      "sepal_width            2.9\n",
      "petal_length           4.3\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 38, dtype: object)\n",
      "(39, sepal_length          6.4\n",
      "sepal_width           3.1\n",
      "petal_length          5.5\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 39, dtype: object)\n",
      "(40, sepal_length           6.4\n",
      "sepal_width            3.2\n",
      "petal_length           4.5\n",
      "petal_width            1.5\n",
      "species         versicolor\n",
      "Name: 40, dtype: object)\n",
      "(41, sepal_length          6.4\n",
      "sepal_width           3.2\n",
      "petal_length          5.3\n",
      "petal_width           2.3\n",
      "species         virginica\n",
      "Name: 41, dtype: object)\n",
      "(42, sepal_length           6.3\n",
      "sepal_width            2.3\n",
      "petal_length           4.4\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 42, dtype: object)\n",
      "(43, sepal_length          6.3\n",
      "sepal_width           2.5\n",
      "petal_length            5\n",
      "petal_width           1.9\n",
      "species         virginica\n",
      "Name: 43, dtype: object)\n",
      "(44, sepal_length           6.3\n",
      "sepal_width            2.5\n",
      "petal_length           4.9\n",
      "petal_width            1.5\n",
      "species         versicolor\n",
      "Name: 44, dtype: object)\n",
      "(45, sepal_length          6.3\n",
      "sepal_width           2.7\n",
      "petal_length          4.9\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 45, dtype: object)\n",
      "(46, sepal_length          6.3\n",
      "sepal_width           2.8\n",
      "petal_length          5.1\n",
      "petal_width           1.5\n",
      "species         virginica\n",
      "Name: 46, dtype: object)\n",
      "(47, sepal_length          6.3\n",
      "sepal_width           2.9\n",
      "petal_length          5.6\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 47, dtype: object)\n",
      "(48, sepal_length          6.3\n",
      "sepal_width           3.3\n",
      "petal_length            6\n",
      "petal_width           2.5\n",
      "species         virginica\n",
      "Name: 48, dtype: object)\n",
      "(49, sepal_length           6.3\n",
      "sepal_width            3.3\n",
      "petal_length           4.7\n",
      "petal_width            1.6\n",
      "species         versicolor\n",
      "Name: 49, dtype: object)\n",
      "(50, sepal_length          6.3\n",
      "sepal_width           3.4\n",
      "petal_length          5.6\n",
      "petal_width           2.4\n",
      "species         virginica\n",
      "Name: 50, dtype: object)\n",
      "(51, sepal_length           6.2\n",
      "sepal_width            2.2\n",
      "petal_length           4.5\n",
      "petal_width            1.5\n",
      "species         versicolor\n",
      "Name: 51, dtype: object)\n",
      "(52, sepal_length          6.2\n",
      "sepal_width           2.8\n",
      "petal_length          4.8\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 52, dtype: object)\n",
      "(53, sepal_length           6.2\n",
      "sepal_width            2.9\n",
      "petal_length           4.3\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 53, dtype: object)\n",
      "(54, sepal_length          6.2\n",
      "sepal_width           3.4\n",
      "petal_length          5.4\n",
      "petal_width           2.3\n",
      "species         virginica\n",
      "Name: 54, dtype: object)\n",
      "(55, sepal_length          6.1\n",
      "sepal_width           2.6\n",
      "petal_length          5.6\n",
      "petal_width           1.4\n",
      "species         virginica\n",
      "Name: 55, dtype: object)\n",
      "(56, sepal_length           6.1\n",
      "sepal_width            2.8\n",
      "petal_length           4.7\n",
      "petal_width            1.2\n",
      "species         versicolor\n",
      "Name: 56, dtype: object)\n",
      "(57, sepal_length           6.1\n",
      "sepal_width            2.8\n",
      "petal_length             4\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 57, dtype: object)\n",
      "(58, sepal_length           6.1\n",
      "sepal_width            2.9\n",
      "petal_length           4.7\n",
      "petal_width            1.4\n",
      "species         versicolor\n",
      "Name: 58, dtype: object)\n",
      "(59, sepal_length           6.1\n",
      "sepal_width              3\n",
      "petal_length           4.6\n",
      "petal_width            1.4\n",
      "species         versicolor\n",
      "Name: 59, dtype: object)\n",
      "(60, sepal_length          6.1\n",
      "sepal_width             3\n",
      "petal_length          4.9\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 60, dtype: object)\n",
      "(61, sepal_length            6\n",
      "sepal_width           2.2\n",
      "petal_length            5\n",
      "petal_width           1.5\n",
      "species         virginica\n",
      "Name: 61, dtype: object)\n",
      "(62, sepal_length             6\n",
      "sepal_width            2.2\n",
      "petal_length             4\n",
      "petal_width              1\n",
      "species         versicolor\n",
      "Name: 62, dtype: object)\n",
      "(63, sepal_length             6\n",
      "sepal_width            2.7\n",
      "petal_length           5.1\n",
      "petal_width            1.6\n",
      "species         versicolor\n",
      "Name: 63, dtype: object)\n",
      "(64, sepal_length             6\n",
      "sepal_width            2.9\n",
      "petal_length           4.5\n",
      "petal_width            1.5\n",
      "species         versicolor\n",
      "Name: 64, dtype: object)\n",
      "(65, sepal_length            6\n",
      "sepal_width             3\n",
      "petal_length          4.8\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 65, dtype: object)\n",
      "(66, sepal_length             6\n",
      "sepal_width            3.4\n",
      "petal_length           4.5\n",
      "petal_width            1.6\n",
      "species         versicolor\n",
      "Name: 66, dtype: object)\n",
      "(67, sepal_length          5.9\n",
      "sepal_width             3\n",
      "petal_length          5.1\n",
      "petal_width           1.8\n",
      "species         virginica\n",
      "Name: 67, dtype: object)\n",
      "(68, sepal_length           5.9\n",
      "sepal_width              3\n",
      "petal_length           4.2\n",
      "petal_width            1.5\n",
      "species         versicolor\n",
      "Name: 68, dtype: object)\n",
      "(69, sepal_length           5.9\n",
      "sepal_width            3.2\n",
      "petal_length           4.8\n",
      "petal_width            1.8\n",
      "species         versicolor\n",
      "Name: 69, dtype: object)\n",
      "(70, sepal_length           5.8\n",
      "sepal_width            2.6\n",
      "petal_length             4\n",
      "petal_width            1.2\n",
      "species         versicolor\n",
      "Name: 70, dtype: object)\n",
      "(71, sepal_length          5.8\n",
      "sepal_width           2.7\n",
      "petal_length          5.1\n",
      "petal_width           1.9\n",
      "species         virginica\n",
      "Name: 71, dtype: object)\n",
      "(72, sepal_length           5.8\n",
      "sepal_width            2.7\n",
      "petal_length           3.9\n",
      "petal_width            1.2\n",
      "species         versicolor\n",
      "Name: 72, dtype: object)\n",
      "(73, sepal_length           5.8\n",
      "sepal_width            2.7\n",
      "petal_length           4.1\n",
      "petal_width              1\n",
      "species         versicolor\n",
      "Name: 73, dtype: object)\n",
      "(74, sepal_length          5.8\n",
      "sepal_width           2.7\n",
      "petal_length          5.1\n",
      "petal_width           1.9\n",
      "species         virginica\n",
      "Name: 74, dtype: object)\n",
      "(75, sepal_length          5.8\n",
      "sepal_width           2.8\n",
      "petal_length          5.1\n",
      "petal_width           2.4\n",
      "species         virginica\n",
      "Name: 75, dtype: object)\n",
      "(76, sepal_length       5.8\n",
      "sepal_width          4\n",
      "petal_length       1.2\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 76, dtype: object)\n",
      "(77, sepal_length          5.7\n",
      "sepal_width           2.5\n",
      "petal_length            5\n",
      "petal_width             2\n",
      "species         virginica\n",
      "Name: 77, dtype: object)\n",
      "(78, sepal_length           5.7\n",
      "sepal_width            2.6\n",
      "petal_length           3.5\n",
      "petal_width              1\n",
      "species         versicolor\n",
      "Name: 78, dtype: object)\n",
      "(79, sepal_length           5.7\n",
      "sepal_width            2.8\n",
      "petal_length           4.1\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 79, dtype: object)\n",
      "(80, sepal_length           5.7\n",
      "sepal_width            2.8\n",
      "petal_length           4.5\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 80, dtype: object)\n",
      "(81, sepal_length           5.7\n",
      "sepal_width            2.9\n",
      "petal_length           4.2\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 81, dtype: object)\n",
      "(82, sepal_length           5.7\n",
      "sepal_width              3\n",
      "petal_length           4.2\n",
      "petal_width            1.2\n",
      "species         versicolor\n",
      "Name: 82, dtype: object)\n",
      "(83, sepal_length       5.7\n",
      "sepal_width        3.8\n",
      "petal_length       1.7\n",
      "petal_width        0.3\n",
      "species         setosa\n",
      "Name: 83, dtype: object)\n",
      "(84, sepal_length       5.7\n",
      "sepal_width        4.4\n",
      "petal_length       1.5\n",
      "petal_width        0.4\n",
      "species         setosa\n",
      "Name: 84, dtype: object)\n",
      "(85, sepal_length           5.6\n",
      "sepal_width            2.5\n",
      "petal_length           3.9\n",
      "petal_width            1.1\n",
      "species         versicolor\n",
      "Name: 85, dtype: object)\n",
      "(86, sepal_length           5.6\n",
      "sepal_width            2.7\n",
      "petal_length           4.2\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 86, dtype: object)\n",
      "(87, sepal_length          5.6\n",
      "sepal_width           2.8\n",
      "petal_length          4.9\n",
      "petal_width             2\n",
      "species         virginica\n",
      "Name: 87, dtype: object)\n",
      "(88, sepal_length           5.6\n",
      "sepal_width            2.9\n",
      "petal_length           3.6\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 88, dtype: object)\n",
      "(89, sepal_length           5.6\n",
      "sepal_width              3\n",
      "petal_length           4.1\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 89, dtype: object)\n",
      "(90, sepal_length           5.6\n",
      "sepal_width              3\n",
      "petal_length           4.5\n",
      "petal_width            1.5\n",
      "species         versicolor\n",
      "Name: 90, dtype: object)\n",
      "(91, sepal_length           5.5\n",
      "sepal_width            2.3\n",
      "petal_length             4\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 91, dtype: object)\n",
      "(92, sepal_length           5.5\n",
      "sepal_width            2.4\n",
      "petal_length           3.7\n",
      "petal_width              1\n",
      "species         versicolor\n",
      "Name: 92, dtype: object)\n",
      "(93, sepal_length           5.5\n",
      "sepal_width            2.4\n",
      "petal_length           3.8\n",
      "petal_width            1.1\n",
      "species         versicolor\n",
      "Name: 93, dtype: object)\n",
      "(94, sepal_length           5.5\n",
      "sepal_width            2.5\n",
      "petal_length             4\n",
      "petal_width            1.3\n",
      "species         versicolor\n",
      "Name: 94, dtype: object)\n",
      "(95, sepal_length           5.5\n",
      "sepal_width            2.6\n",
      "petal_length           4.4\n",
      "petal_width            1.2\n",
      "species         versicolor\n",
      "Name: 95, dtype: object)\n",
      "(96, sepal_length       5.5\n",
      "sepal_width        3.5\n",
      "petal_length       1.3\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 96, dtype: object)\n",
      "(97, sepal_length       5.5\n",
      "sepal_width        4.2\n",
      "petal_length       1.4\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 97, dtype: object)\n",
      "(98, sepal_length           5.4\n",
      "sepal_width              3\n",
      "petal_length           4.5\n",
      "petal_width            1.5\n",
      "species         versicolor\n",
      "Name: 98, dtype: object)\n",
      "(99, sepal_length       5.4\n",
      "sepal_width        3.4\n",
      "petal_length       1.7\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 99, dtype: object)\n",
      "(100, sepal_length       5.4\n",
      "sepal_width        3.4\n",
      "petal_length       1.5\n",
      "petal_width        0.4\n",
      "species         setosa\n",
      "Name: 100, dtype: object)\n",
      "(101, sepal_length       5.4\n",
      "sepal_width        3.7\n",
      "petal_length       1.5\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 101, dtype: object)\n",
      "(102, sepal_length       5.4\n",
      "sepal_width        3.9\n",
      "petal_length       1.7\n",
      "petal_width        0.4\n",
      "species         setosa\n",
      "Name: 102, dtype: object)\n",
      "(103, sepal_length       5.4\n",
      "sepal_width        3.9\n",
      "petal_length       1.3\n",
      "petal_width        0.4\n",
      "species         setosa\n",
      "Name: 103, dtype: object)\n",
      "(104, sepal_length       5.3\n",
      "sepal_width        3.7\n",
      "petal_length       1.5\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 104, dtype: object)\n",
      "(105, sepal_length           5.2\n",
      "sepal_width            2.7\n",
      "petal_length           3.9\n",
      "petal_width            1.4\n",
      "species         versicolor\n",
      "Name: 105, dtype: object)\n",
      "(106, sepal_length       5.2\n",
      "sepal_width        3.4\n",
      "petal_length       1.4\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 106, dtype: object)\n",
      "(107, sepal_length       5.2\n",
      "sepal_width        3.5\n",
      "petal_length       1.5\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 107, dtype: object)\n",
      "(108, sepal_length       5.2\n",
      "sepal_width        4.1\n",
      "petal_length       1.5\n",
      "petal_width        0.1\n",
      "species         setosa\n",
      "Name: 108, dtype: object)\n",
      "(109, sepal_length           5.1\n",
      "sepal_width            2.5\n",
      "petal_length             3\n",
      "petal_width            1.1\n",
      "species         versicolor\n",
      "Name: 109, dtype: object)\n",
      "(110, sepal_length       5.1\n",
      "sepal_width        3.3\n",
      "petal_length       1.7\n",
      "petal_width        0.5\n",
      "species         setosa\n",
      "Name: 110, dtype: object)\n",
      "(111, sepal_length       5.1\n",
      "sepal_width        3.4\n",
      "petal_length       1.5\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 111, dtype: object)\n",
      "(112, sepal_length       5.1\n",
      "sepal_width        3.5\n",
      "petal_length       1.4\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 112, dtype: object)\n",
      "(113, sepal_length       5.1\n",
      "sepal_width        3.5\n",
      "petal_length       1.4\n",
      "petal_width        0.3\n",
      "species         setosa\n",
      "Name: 113, dtype: object)\n",
      "(114, sepal_length       5.1\n",
      "sepal_width        3.7\n",
      "petal_length       1.5\n",
      "petal_width        0.4\n",
      "species         setosa\n",
      "Name: 114, dtype: object)\n",
      "(115, sepal_length       5.1\n",
      "sepal_width        3.8\n",
      "petal_length       1.6\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 115, dtype: object)\n",
      "(116, sepal_length       5.1\n",
      "sepal_width        3.8\n",
      "petal_length       1.9\n",
      "petal_width        0.4\n",
      "species         setosa\n",
      "Name: 116, dtype: object)\n",
      "(117, sepal_length       5.1\n",
      "sepal_width        3.8\n",
      "petal_length       1.5\n",
      "petal_width        0.3\n",
      "species         setosa\n",
      "Name: 117, dtype: object)\n",
      "(118, sepal_length             5\n",
      "sepal_width              2\n",
      "petal_length           3.5\n",
      "petal_width              1\n",
      "species         versicolor\n",
      "Name: 118, dtype: object)\n",
      "(119, sepal_length             5\n",
      "sepal_width            2.3\n",
      "petal_length           3.3\n",
      "petal_width              1\n",
      "species         versicolor\n",
      "Name: 119, dtype: object)\n",
      "(120, sepal_length         5\n",
      "sepal_width          3\n",
      "petal_length       1.6\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 120, dtype: object)\n",
      "(121, sepal_length         5\n",
      "sepal_width        3.2\n",
      "petal_length       1.2\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 121, dtype: object)\n",
      "(122, sepal_length         5\n",
      "sepal_width        3.3\n",
      "petal_length       1.4\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 122, dtype: object)\n",
      "(123, sepal_length         5\n",
      "sepal_width        3.4\n",
      "petal_length       1.5\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 123, dtype: object)\n",
      "(124, sepal_length         5\n",
      "sepal_width        3.4\n",
      "petal_length       1.6\n",
      "petal_width        0.4\n",
      "species         setosa\n",
      "Name: 124, dtype: object)\n",
      "(125, sepal_length         5\n",
      "sepal_width        3.5\n",
      "petal_length       1.6\n",
      "petal_width        0.6\n",
      "species         setosa\n",
      "Name: 125, dtype: object)\n",
      "(126, sepal_length         5\n",
      "sepal_width        3.5\n",
      "petal_length       1.3\n",
      "petal_width        0.3\n",
      "species         setosa\n",
      "Name: 126, dtype: object)\n",
      "(127, sepal_length         5\n",
      "sepal_width        3.6\n",
      "petal_length       1.4\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 127, dtype: object)\n",
      "(128, sepal_length           4.9\n",
      "sepal_width            2.4\n",
      "petal_length           3.3\n",
      "petal_width              1\n",
      "species         versicolor\n",
      "Name: 128, dtype: object)\n",
      "(129, sepal_length          4.9\n",
      "sepal_width           2.5\n",
      "petal_length          4.5\n",
      "petal_width           1.7\n",
      "species         virginica\n",
      "Name: 129, dtype: object)\n",
      "(130, sepal_length       4.9\n",
      "sepal_width          3\n",
      "petal_length       1.4\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 130, dtype: object)\n",
      "(131, sepal_length       4.9\n",
      "sepal_width        3.1\n",
      "petal_length       1.5\n",
      "petal_width        0.1\n",
      "species         setosa\n",
      "Name: 131, dtype: object)\n",
      "(132, sepal_length       4.9\n",
      "sepal_width        3.1\n",
      "petal_length       1.5\n",
      "petal_width        0.1\n",
      "species         setosa\n",
      "Name: 132, dtype: object)\n",
      "(133, sepal_length       4.9\n",
      "sepal_width        3.1\n",
      "petal_length       1.5\n",
      "petal_width        0.1\n",
      "species         setosa\n",
      "Name: 133, dtype: object)\n",
      "(134, sepal_length       4.8\n",
      "sepal_width          3\n",
      "petal_length       1.4\n",
      "petal_width        0.1\n",
      "species         setosa\n",
      "Name: 134, dtype: object)\n",
      "(135, sepal_length       4.8\n",
      "sepal_width          3\n",
      "petal_length       1.4\n",
      "petal_width        0.3\n",
      "species         setosa\n",
      "Name: 135, dtype: object)\n",
      "(136, sepal_length       4.8\n",
      "sepal_width        3.1\n",
      "petal_length       1.6\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 136, dtype: object)\n",
      "(137, sepal_length       4.8\n",
      "sepal_width        3.4\n",
      "petal_length       1.9\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 137, dtype: object)\n",
      "(138, sepal_length       4.8\n",
      "sepal_width        3.4\n",
      "petal_length       1.6\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 138, dtype: object)\n",
      "(139, sepal_length       4.7\n",
      "sepal_width        3.2\n",
      "petal_length       1.3\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 139, dtype: object)\n",
      "(140, sepal_length       4.7\n",
      "sepal_width        3.2\n",
      "petal_length       1.6\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 140, dtype: object)\n",
      "(141, sepal_length       4.6\n",
      "sepal_width        3.1\n",
      "petal_length       1.5\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 141, dtype: object)\n",
      "(142, sepal_length       4.6\n",
      "sepal_width        3.2\n",
      "petal_length       1.4\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 142, dtype: object)\n",
      "(143, sepal_length       4.6\n",
      "sepal_width        3.4\n",
      "petal_length       1.4\n",
      "petal_width        0.3\n",
      "species         setosa\n",
      "Name: 143, dtype: object)\n",
      "(144, sepal_length       4.6\n",
      "sepal_width        3.6\n",
      "petal_length         1\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 144, dtype: object)\n",
      "(145, sepal_length       4.5\n",
      "sepal_width        2.3\n",
      "petal_length       1.3\n",
      "petal_width        0.3\n",
      "species         setosa\n",
      "Name: 145, dtype: object)\n",
      "(146, sepal_length       4.4\n",
      "sepal_width        2.9\n",
      "petal_length       1.4\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 146, dtype: object)\n",
      "(147, sepal_length       4.4\n",
      "sepal_width          3\n",
      "petal_length       1.3\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 147, dtype: object)\n",
      "(148, sepal_length       4.4\n",
      "sepal_width        3.2\n",
      "petal_length       1.3\n",
      "petal_width        0.2\n",
      "species         setosa\n",
      "Name: 148, dtype: object)\n",
      "(149, sepal_length       4.3\n",
      "sepal_width          3\n",
      "petal_length       1.1\n",
      "petal_width        0.1\n",
      "species         setosa\n",
      "Name: 149, dtype: object)\n"
     ]
    }
   ],
   "source": [
    "for row in sorttbl.iterrows():\n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(0, 7.9000000000000004, 3.7999999999999998, 6.4000000000000004, 2.0, 'virginica')\n",
      "(1, 7.7000000000000002, 2.6000000000000001, 6.9000000000000004, 2.2999999999999998, 'virginica')\n",
      "(2, 7.7000000000000002, 2.7999999999999998, 6.7000000000000002, 2.0, 'virginica')\n",
      "(3, 7.7000000000000002, 3.0, 6.0999999999999996, 2.2999999999999998, 'virginica')\n",
      "(4, 7.7000000000000002, 3.7999999999999998, 6.7000000000000002, 2.2000000000000002, 'virginica')\n",
      "(5, 7.5999999999999996, 3.0, 6.5999999999999996, 2.1000000000000001, 'virginica')\n",
      "(6, 7.4000000000000004, 2.7999999999999998, 6.0999999999999996, 1.8999999999999999, 'virginica')\n",
      "(7, 7.2999999999999998, 2.8999999999999999, 6.2999999999999998, 1.8, 'virginica')\n",
      "(8, 7.2000000000000002, 3.0, 5.7999999999999998, 1.6000000000000001, 'virginica')\n",
      "(9, 7.2000000000000002, 3.2000000000000002, 6.0, 1.8, 'virginica')\n",
      "(10, 7.2000000000000002, 3.6000000000000001, 6.0999999999999996, 2.5, 'virginica')\n",
      "(11, 7.0999999999999996, 3.0, 5.9000000000000004, 2.1000000000000001, 'virginica')\n",
      "(12, 7.0, 3.2000000000000002, 4.7000000000000002, 1.3999999999999999, 'versicolor')\n",
      "(13, 6.9000000000000004, 3.1000000000000001, 5.0999999999999996, 2.2999999999999998, 'virginica')\n",
      "(14, 6.9000000000000004, 3.1000000000000001, 5.4000000000000004, 2.1000000000000001, 'virginica')\n",
      "(15, 6.9000000000000004, 3.1000000000000001, 4.9000000000000004, 1.5, 'versicolor')\n",
      "(16, 6.9000000000000004, 3.2000000000000002, 5.7000000000000002, 2.2999999999999998, 'virginica')\n",
      "(17, 6.7999999999999998, 2.7999999999999998, 4.7999999999999998, 1.3999999999999999, 'versicolor')\n",
      "(18, 6.7999999999999998, 3.0, 5.5, 2.1000000000000001, 'virginica')\n",
      "(19, 6.7999999999999998, 3.2000000000000002, 5.9000000000000004, 2.2999999999999998, 'virginica')\n",
      "(20, 6.7000000000000002, 2.5, 5.7999999999999998, 1.8, 'virginica')\n",
      "(21, 6.7000000000000002, 3.0, 5.0, 1.7, 'versicolor')\n",
      "(22, 6.7000000000000002, 3.0, 5.2000000000000002, 2.2999999999999998, 'virginica')\n",
      "(23, 6.7000000000000002, 3.1000000000000001, 4.4000000000000004, 1.3999999999999999, 'versicolor')\n",
      "(24, 6.7000000000000002, 3.1000000000000001, 5.5999999999999996, 2.3999999999999999, 'virginica')\n",
      "(25, 6.7000000000000002, 3.1000000000000001, 4.7000000000000002, 1.5, 'versicolor')\n",
      "(26, 6.7000000000000002, 3.2999999999999998, 5.7000000000000002, 2.5, 'virginica')\n",
      "(27, 6.7000000000000002, 3.2999999999999998, 5.7000000000000002, 2.1000000000000001, 'virginica')\n",
      "(28, 6.5999999999999996, 2.8999999999999999, 4.5999999999999996, 1.3, 'versicolor')\n",
      "(29, 6.5999999999999996, 3.0, 4.4000000000000004, 1.3999999999999999, 'versicolor')\n",
      "(30, 6.5, 2.7999999999999998, 4.5999999999999996, 1.5, 'versicolor')\n",
      "(31, 6.5, 3.0, 5.7999999999999998, 2.2000000000000002, 'virginica')\n",
      "(32, 6.5, 3.0, 5.2000000000000002, 2.0, 'virginica')\n",
      "(33, 6.5, 3.0, 5.5, 1.8, 'virginica')\n",
      "(34, 6.5, 3.2000000000000002, 5.0999999999999996, 2.0, 'virginica')\n",
      "(35, 6.4000000000000004, 2.7000000000000002, 5.2999999999999998, 1.8999999999999999, 'virginica')\n",
      "(36, 6.4000000000000004, 2.7999999999999998, 5.5999999999999996, 2.2000000000000002, 'virginica')\n",
      "(37, 6.4000000000000004, 2.7999999999999998, 5.5999999999999996, 2.1000000000000001, 'virginica')\n",
      "(38, 6.4000000000000004, 2.8999999999999999, 4.2999999999999998, 1.3, 'versicolor')\n",
      "(39, 6.4000000000000004, 3.1000000000000001, 5.5, 1.8, 'virginica')\n",
      "(40, 6.4000000000000004, 3.2000000000000002, 4.5, 1.5, 'versicolor')\n",
      "(41, 6.4000000000000004, 3.2000000000000002, 5.2999999999999998, 2.2999999999999998, 'virginica')\n",
      "(42, 6.2999999999999998, 2.2999999999999998, 4.4000000000000004, 1.3, 'versicolor')\n",
      "(43, 6.2999999999999998, 2.5, 5.0, 1.8999999999999999, 'virginica')\n",
      "(44, 6.2999999999999998, 2.5, 4.9000000000000004, 1.5, 'versicolor')\n",
      "(45, 6.2999999999999998, 2.7000000000000002, 4.9000000000000004, 1.8, 'virginica')\n",
      "(46, 6.2999999999999998, 2.7999999999999998, 5.0999999999999996, 1.5, 'virginica')\n",
      "(47, 6.2999999999999998, 2.8999999999999999, 5.5999999999999996, 1.8, 'virginica')\n",
      "(48, 6.2999999999999998, 3.2999999999999998, 6.0, 2.5, 'virginica')\n",
      "(49, 6.2999999999999998, 3.2999999999999998, 4.7000000000000002, 1.6000000000000001, 'versicolor')\n",
      "(50, 6.2999999999999998, 3.3999999999999999, 5.5999999999999996, 2.3999999999999999, 'virginica')\n",
      "(51, 6.2000000000000002, 2.2000000000000002, 4.5, 1.5, 'versicolor')\n",
      "(52, 6.2000000000000002, 2.7999999999999998, 4.7999999999999998, 1.8, 'virginica')\n",
      "(53, 6.2000000000000002, 2.8999999999999999, 4.2999999999999998, 1.3, 'versicolor')\n",
      "(54, 6.2000000000000002, 3.3999999999999999, 5.4000000000000004, 2.2999999999999998, 'virginica')\n",
      "(55, 6.0999999999999996, 2.6000000000000001, 5.5999999999999996, 1.3999999999999999, 'virginica')\n",
      "(56, 6.0999999999999996, 2.7999999999999998, 4.7000000000000002, 1.2, 'versicolor')\n",
      "(57, 6.0999999999999996, 2.7999999999999998, 4.0, 1.3, 'versicolor')\n",
      "(58, 6.0999999999999996, 2.8999999999999999, 4.7000000000000002, 1.3999999999999999, 'versicolor')\n",
      "(59, 6.0999999999999996, 3.0, 4.5999999999999996, 1.3999999999999999, 'versicolor')\n",
      "(60, 6.0999999999999996, 3.0, 4.9000000000000004, 1.8, 'virginica')\n",
      "(61, 6.0, 2.2000000000000002, 5.0, 1.5, 'virginica')\n",
      "(62, 6.0, 2.2000000000000002, 4.0, 1.0, 'versicolor')\n",
      "(63, 6.0, 2.7000000000000002, 5.0999999999999996, 1.6000000000000001, 'versicolor')\n",
      "(64, 6.0, 2.8999999999999999, 4.5, 1.5, 'versicolor')\n",
      "(65, 6.0, 3.0, 4.7999999999999998, 1.8, 'virginica')\n",
      "(66, 6.0, 3.3999999999999999, 4.5, 1.6000000000000001, 'versicolor')\n",
      "(67, 5.9000000000000004, 3.0, 5.0999999999999996, 1.8, 'virginica')\n",
      "(68, 5.9000000000000004, 3.0, 4.2000000000000002, 1.5, 'versicolor')\n",
      "(69, 5.9000000000000004, 3.2000000000000002, 4.7999999999999998, 1.8, 'versicolor')\n",
      "(70, 5.7999999999999998, 2.6000000000000001, 4.0, 1.2, 'versicolor')\n",
      "(71, 5.7999999999999998, 2.7000000000000002, 5.0999999999999996, 1.8999999999999999, 'virginica')\n",
      "(72, 5.7999999999999998, 2.7000000000000002, 3.8999999999999999, 1.2, 'versicolor')\n",
      "(73, 5.7999999999999998, 2.7000000000000002, 4.0999999999999996, 1.0, 'versicolor')\n",
      "(74, 5.7999999999999998, 2.7000000000000002, 5.0999999999999996, 1.8999999999999999, 'virginica')\n",
      "(75, 5.7999999999999998, 2.7999999999999998, 5.0999999999999996, 2.3999999999999999, 'virginica')\n",
      "(76, 5.7999999999999998, 4.0, 1.2, 0.20000000000000001, 'setosa')\n",
      "(77, 5.7000000000000002, 2.5, 5.0, 2.0, 'virginica')\n",
      "(78, 5.7000000000000002, 2.6000000000000001, 3.5, 1.0, 'versicolor')\n",
      "(79, 5.7000000000000002, 2.7999999999999998, 4.0999999999999996, 1.3, 'versicolor')\n",
      "(80, 5.7000000000000002, 2.7999999999999998, 4.5, 1.3, 'versicolor')\n",
      "(81, 5.7000000000000002, 2.8999999999999999, 4.2000000000000002, 1.3, 'versicolor')\n",
      "(82, 5.7000000000000002, 3.0, 4.2000000000000002, 1.2, 'versicolor')\n",
      "(83, 5.7000000000000002, 3.7999999999999998, 1.7, 0.29999999999999999, 'setosa')\n",
      "(84, 5.7000000000000002, 4.4000000000000004, 1.5, 0.40000000000000002, 'setosa')\n",
      "(85, 5.5999999999999996, 2.5, 3.8999999999999999, 1.1000000000000001, 'versicolor')\n",
      "(86, 5.5999999999999996, 2.7000000000000002, 4.2000000000000002, 1.3, 'versicolor')\n",
      "(87, 5.5999999999999996, 2.7999999999999998, 4.9000000000000004, 2.0, 'virginica')\n",
      "(88, 5.5999999999999996, 2.8999999999999999, 3.6000000000000001, 1.3, 'versicolor')\n",
      "(89, 5.5999999999999996, 3.0, 4.0999999999999996, 1.3, 'versicolor')\n",
      "(90, 5.5999999999999996, 3.0, 4.5, 1.5, 'versicolor')\n",
      "(91, 5.5, 2.2999999999999998, 4.0, 1.3, 'versicolor')\n",
      "(92, 5.5, 2.3999999999999999, 3.7000000000000002, 1.0, 'versicolor')\n",
      "(93, 5.5, 2.3999999999999999, 3.7999999999999998, 1.1000000000000001, 'versicolor')\n",
      "(94, 5.5, 2.5, 4.0, 1.3, 'versicolor')\n",
      "(95, 5.5, 2.6000000000000001, 4.4000000000000004, 1.2, 'versicolor')\n",
      "(96, 5.5, 3.5, 1.3, 0.20000000000000001, 'setosa')\n",
      "(97, 5.5, 4.2000000000000002, 1.3999999999999999, 0.20000000000000001, 'setosa')\n",
      "(98, 5.4000000000000004, 3.0, 4.5, 1.5, 'versicolor')\n",
      "(99, 5.4000000000000004, 3.3999999999999999, 1.7, 0.20000000000000001, 'setosa')\n",
      "(100, 5.4000000000000004, 3.3999999999999999, 1.5, 0.40000000000000002, 'setosa')\n",
      "(101, 5.4000000000000004, 3.7000000000000002, 1.5, 0.20000000000000001, 'setosa')\n",
      "(102, 5.4000000000000004, 3.8999999999999999, 1.7, 0.40000000000000002, 'setosa')\n",
      "(103, 5.4000000000000004, 3.8999999999999999, 1.3, 0.40000000000000002, 'setosa')\n",
      "(104, 5.2999999999999998, 3.7000000000000002, 1.5, 0.20000000000000001, 'setosa')\n",
      "(105, 5.2000000000000002, 2.7000000000000002, 3.8999999999999999, 1.3999999999999999, 'versicolor')\n",
      "(106, 5.2000000000000002, 3.3999999999999999, 1.3999999999999999, 0.20000000000000001, 'setosa')\n",
      "(107, 5.2000000000000002, 3.5, 1.5, 0.20000000000000001, 'setosa')\n",
      "(108, 5.2000000000000002, 4.0999999999999996, 1.5, 0.10000000000000001, 'setosa')\n",
      "(109, 5.0999999999999996, 2.5, 3.0, 1.1000000000000001, 'versicolor')\n",
      "(110, 5.0999999999999996, 3.2999999999999998, 1.7, 0.5, 'setosa')\n",
      "(111, 5.0999999999999996, 3.3999999999999999, 1.5, 0.20000000000000001, 'setosa')\n",
      "(112, 5.0999999999999996, 3.5, 1.3999999999999999, 0.20000000000000001, 'setosa')\n",
      "(113, 5.0999999999999996, 3.5, 1.3999999999999999, 0.29999999999999999, 'setosa')\n",
      "(114, 5.0999999999999996, 3.7000000000000002, 1.5, 0.40000000000000002, 'setosa')\n",
      "(115, 5.0999999999999996, 3.7999999999999998, 1.6000000000000001, 0.20000000000000001, 'setosa')\n",
      "(116, 5.0999999999999996, 3.7999999999999998, 1.8999999999999999, 0.40000000000000002, 'setosa')\n",
      "(117, 5.0999999999999996, 3.7999999999999998, 1.5, 0.29999999999999999, 'setosa')\n",
      "(118, 5.0, 2.0, 3.5, 1.0, 'versicolor')\n",
      "(119, 5.0, 2.2999999999999998, 3.2999999999999998, 1.0, 'versicolor')\n",
      "(120, 5.0, 3.0, 1.6000000000000001, 0.20000000000000001, 'setosa')\n",
      "(121, 5.0, 3.2000000000000002, 1.2, 0.20000000000000001, 'setosa')\n",
      "(122, 5.0, 3.2999999999999998, 1.3999999999999999, 0.20000000000000001, 'setosa')\n",
      "(123, 5.0, 3.3999999999999999, 1.5, 0.20000000000000001, 'setosa')\n",
      "(124, 5.0, 3.3999999999999999, 1.6000000000000001, 0.40000000000000002, 'setosa')\n",
      "(125, 5.0, 3.5, 1.6000000000000001, 0.59999999999999998, 'setosa')\n",
      "(126, 5.0, 3.5, 1.3, 0.29999999999999999, 'setosa')\n",
      "(127, 5.0, 3.6000000000000001, 1.3999999999999999, 0.20000000000000001, 'setosa')\n",
      "(128, 4.9000000000000004, 2.3999999999999999, 3.2999999999999998, 1.0, 'versicolor')\n",
      "(129, 4.9000000000000004, 2.5, 4.5, 1.7, 'virginica')\n",
      "(130, 4.9000000000000004, 3.0, 1.3999999999999999, 0.20000000000000001, 'setosa')\n",
      "(131, 4.9000000000000004, 3.1000000000000001, 1.5, 0.10000000000000001, 'setosa')\n",
      "(132, 4.9000000000000004, 3.1000000000000001, 1.5, 0.10000000000000001, 'setosa')\n",
      "(133, 4.9000000000000004, 3.1000000000000001, 1.5, 0.10000000000000001, 'setosa')\n",
      "(134, 4.7999999999999998, 3.0, 1.3999999999999999, 0.10000000000000001, 'setosa')\n",
      "(135, 4.7999999999999998, 3.0, 1.3999999999999999, 0.29999999999999999, 'setosa')\n",
      "(136, 4.7999999999999998, 3.1000000000000001, 1.6000000000000001, 0.20000000000000001, 'setosa')\n",
      "(137, 4.7999999999999998, 3.3999999999999999, 1.8999999999999999, 0.20000000000000001, 'setosa')\n",
      "(138, 4.7999999999999998, 3.3999999999999999, 1.6000000000000001, 0.20000000000000001, 'setosa')\n",
      "(139, 4.7000000000000002, 3.2000000000000002, 1.3, 0.20000000000000001, 'setosa')\n",
      "(140, 4.7000000000000002, 3.2000000000000002, 1.6000000000000001, 0.20000000000000001, 'setosa')\n",
      "(141, 4.5999999999999996, 3.1000000000000001, 1.5, 0.20000000000000001, 'setosa')\n",
      "(142, 4.5999999999999996, 3.2000000000000002, 1.3999999999999999, 0.20000000000000001, 'setosa')\n",
      "(143, 4.5999999999999996, 3.3999999999999999, 1.3999999999999999, 0.29999999999999999, 'setosa')\n",
      "(144, 4.5999999999999996, 3.6000000000000001, 1.0, 0.20000000000000001, 'setosa')\n",
      "(145, 4.5, 2.2999999999999998, 1.3, 0.29999999999999999, 'setosa')\n",
      "(146, 4.4000000000000004, 2.8999999999999999, 1.3999999999999999, 0.20000000000000001, 'setosa')\n",
      "(147, 4.4000000000000004, 3.0, 1.3, 0.20000000000000001, 'setosa')\n",
      "(148, 4.4000000000000004, 3.2000000000000002, 1.3, 0.20000000000000001, 'setosa')\n",
      "(149, 4.2999999999999998, 3.0, 1.1000000000000001, 0.10000000000000001, 'setosa')\n"
     ]
    }
   ],
   "source": [
    "for row in sorttbl.itertuples():\n",
    "    print(row)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Techniques for Indexing and Selecting Data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Selecting Columns by Label and Position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASColumn('DATA.IRIS', caslib='CASUSER(username)')['sepal_width'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col = sorttbl['sepal_width']\n",
    "col"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    3.8\n",
       "1    2.6\n",
       "2    2.8\n",
       "3    3.0\n",
       "4    3.8\n",
       "Name: sepal_width, dtype: float64"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "col.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASColumn('DATA.IRIS', caslib='CASUSER(username)')['species'].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.species"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASTable('DATA.IRIS', caslib='CASUSER(username)')[['sepal_width', 'petal_width', 'species']].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "widths = sorttbl[['sepal_width', 'petal_width', 'species']]\n",
    "widths"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.6</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.8</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_width  petal_width    species\n",
       "0          3.8          2.0  virginica\n",
       "1          2.6          2.3  virginica\n",
       "2          2.8          2.0  virginica\n",
       "3          3.0          2.3  virginica\n",
       "4          3.8          2.2  virginica"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "widths.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>sepal_width</th>\n",
       "      <th>petal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>150.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>3.054000</td>\n",
       "      <td>1.198667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.433594</td>\n",
       "      <td>0.763161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>2.000000</td>\n",
       "      <td>0.100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2.800000</td>\n",
       "      <td>0.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3.000000</td>\n",
       "      <td>1.300000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>3.300000</td>\n",
       "      <td>1.800000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>4.400000</td>\n",
       "      <td>2.500000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       sepal_width  petal_width\n",
       "count   150.000000   150.000000\n",
       "mean      3.054000     1.198667\n",
       "std       0.433594     0.763161\n",
       "min       2.000000     0.100000\n",
       "25%       2.800000     0.300000\n",
       "50%       3.000000     1.300000\n",
       "75%       3.300000     1.800000\n",
       "max       4.400000     2.500000"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "widths.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"cas-results-key\"><b>&#167; ColumnInfo</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Column\">Column</th>\n",
       "      <th title=\"ID\">ID</th>\n",
       "      <th title=\"Type\">Type</th>\n",
       "      <th title=\"RawLength\">RawLength</th>\n",
       "      <th title=\"FormattedLength\">FormattedLength</th>\n",
       "      <th title=\"NFL\">NFL</th>\n",
       "      <th title=\"NFD\">NFD</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2</td>\n",
       "      <td>double</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>4</td>\n",
       "      <td>double</td>\n",
       "      <td>8</td>\n",
       "      <td>12</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>species</td>\n",
       "      <td>5</td>\n",
       "      <td>varchar</td>\n",
       "      <td>10</td>\n",
       "      <td>10</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-output-area\"></div>\n",
       "<p class=\"cas-results-performance\"><small><span class=\"cas-elapsed\">elapsed 0.000765s</span> &#183; <span class=\"cas-memory\">mem 0.178MB</span></small></p>"
      ],
      "text/plain": [
       "[ColumnInfo]\n",
       "\n",
       "         Column  ID     Type  RawLength  FormattedLength  NFL  NFD\n",
       " 0  sepal_width   2   double          8               12    0    0\n",
       " 1  petal_width   4   double          8               12    0    0\n",
       " 2      species   5  varchar         10               10    0    0\n",
       "\n",
       "+ Elapsed: 0.000765s, mem: 0.178mb"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "widths.columninfo()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Selecting Data by Label and Position"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASTable('DATA.IRIS', caslib='CASUSER(username)').sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2.0\n",
       "1    2.3\n",
       "2    2.0\n",
       "3    2.3\n",
       "4    2.2\n",
       "Name: petal_width, dtype: float64"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.loc[:, 'petal_width'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length\n",
       "0           7.9          3.8           6.4\n",
       "1           7.7          2.6           6.9\n",
       "2           7.7          2.8           6.7\n",
       "3           7.7          3.0           6.1\n",
       "4           7.7          3.8           6.7"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.loc[:, 'sepal_length':'petal_length'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.3</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.3</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.2</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   petal_width  sepal_width\n",
       "0          2.0          3.8\n",
       "1          2.3          2.6\n",
       "2          2.0          2.8\n",
       "3          2.3          3.0\n",
       "4          2.2          3.8"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.loc[:, ['petal_width', 'sepal_width']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    2.0\n",
       "1    2.3\n",
       "2    2.0\n",
       "3    2.3\n",
       "4    2.2\n",
       "Name: petal_width, dtype: float64"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.loc[:, 3].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length\n",
       "0           7.9          3.8           6.4\n",
       "1           7.7          2.6           6.9\n",
       "2           7.7          2.8           6.7\n",
       "3           7.7          3.0           6.1\n",
       "4           7.7          3.8           6.7"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.iloc[:, 0:3].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.3</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.3</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.2</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   petal_width  sepal_width\n",
       "0          2.0          3.8\n",
       "1          2.3          2.6\n",
       "2          2.0          2.8\n",
       "3          2.3          3.0\n",
       "4          2.2          3.8"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.iloc[:, [3, 1]].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2.0</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.3</td>\n",
       "      <td>2.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.0</td>\n",
       "      <td>2.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.3</td>\n",
       "      <td>3.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2.2</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   petal_width  sepal_width\n",
       "0          2.0          3.8\n",
       "1          2.3          2.6\n",
       "2          2.0          2.8\n",
       "3          2.3          3.0\n",
       "4          2.2          3.8"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.ix[:, [3, 'sepal_width']].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    3.8\n",
       "1    2.6\n",
       "2    2.8\n",
       "3    3.0\n",
       "4    3.8\n",
       "Name: sepal_width, dtype: float64"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.ix[:, 'sepal_width'].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_width  petal_length\n",
       "0          3.8           6.4\n",
       "1          2.6           6.9\n",
       "2          2.8           6.7\n",
       "3          3.0           6.1\n",
       "4          3.8           6.7"
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.ix[:, 'sepal_width':-2].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2.6</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2.8</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>3.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>3.8</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_width  petal_width    species\n",
       "0          3.8          2.0  virginica\n",
       "1          2.6          2.3  virginica\n",
       "2          2.8          2.0  virginica\n",
       "3          3.0          2.3  virginica\n",
       "4          3.8          2.2  virginica"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl.ix[:, ['sepal_width', 3, 4]].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Dynamic Data Selection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "expr = sorttbl.petal_length > 6.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    0.0\n",
       "1    1.0\n",
       "2    1.0\n",
       "3    0.0\n",
       "4    1.0\n",
       "Name: _gt_0_, dtype: float64"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "expr.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width    species\n",
       "0           7.7          2.6           6.9          2.3  virginica\n",
       "1           7.7          2.8           6.7          2.0  virginica\n",
       "2           7.7          3.8           6.7          2.2  virginica\n",
       "3           7.6          3.0           6.6          2.1  virginica"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newtbl = sorttbl[expr]\n",
    "newtbl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width    species\n",
       "0           7.7          2.6           6.9          2.3  virginica\n",
       "1           7.7          2.8           6.7          2.0  virginica\n",
       "2           7.7          3.8           6.7          2.2  virginica\n",
       "3           7.6          3.0           6.6          2.1  virginica"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newtbl = sorttbl[sorttbl.petal_length > 6.5]\n",
    "newtbl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.1</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width    species\n",
       "0           7.7          2.8           6.7          2.0  virginica\n",
       "1           7.6          3.0           6.6          2.1  virginica"
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "newtbl2 = newtbl[newtbl.petal_width < 2.2]\n",
    "newtbl2.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "sorttbl[(sorttbl.petal_length > 6.5) & \n",
    "        (sorttbl.petal_width < 2.2)].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASTable('DATA.IRIS', caslib='CASUSER(username)', computedvars=['_gt_6_', '_and_8_', '_lt_7_'], computedvarsprogram='_gt_6_ = (petal_length > 6.5); _lt_7_ = (petal_width < 2.2); _and_8_ = (_gt_6_ and _lt_7_); ', where='(_and_8_)')[['sepal_length', 'sepal_width', 'petal_length', 'petal_width', 'species']].sort_values(['sepal_length', 'sepal_width'], ascending=[False, True])"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl[(sorttbl.petal_length > 6.5) & \n",
    "        (sorttbl.petal_width < 2.2)]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width    species\n",
       "0           7.7          2.6           6.9          2.3  virginica\n",
       "1           7.7          3.8           6.7          2.2  virginica"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl[(sorttbl.petal_length + sorttbl.petal_width) * 2 > 17.5].head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>1.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.7</td>\n",
       "      <td>0.3</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5.7</td>\n",
       "      <td>4.4</td>\n",
       "      <td>1.5</td>\n",
       "      <td>0.4</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>5.5</td>\n",
       "      <td>3.5</td>\n",
       "      <td>1.3</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5.5</td>\n",
       "      <td>4.2</td>\n",
       "      <td>1.4</td>\n",
       "      <td>0.2</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width species\n",
       "0           5.8          4.0           1.2          0.2  setosa\n",
       "1           5.7          3.8           1.7          0.3  setosa\n",
       "2           5.7          4.4           1.5          0.4  setosa\n",
       "3           5.5          3.5           1.3          0.2  setosa\n",
       "4           5.5          4.2           1.4          0.2  setosa"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl[sorttbl.species.str.upper().str.startswith('SET')].head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Data Wrangling on the Fly"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Creating Computed Columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"sepal_factor\">sepal_factor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "      <td>23.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "      <td>20.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "      <td>21.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "      <td>21.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "      <td>23.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width    species  \\\n",
       "0           7.9          3.8           6.4          2.0  virginica   \n",
       "1           7.7          2.6           6.9          2.3  virginica   \n",
       "2           7.7          2.8           6.7          2.0  virginica   \n",
       "3           7.7          3.0           6.1          2.3  virginica   \n",
       "4           7.7          3.8           6.7          2.2  virginica   \n",
       "\n",
       "   sepal_factor  \n",
       "0          23.4  \n",
       "1          20.6  \n",
       "2          21.0  \n",
       "3          21.4  \n",
       "4          23.0  "
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl['sepal_factor'] = ((sorttbl.sepal_length + sorttbl.sepal_width) * 2)\n",
    "sorttbl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"sepal_factor\">sepal_factor</th>\n",
       "      <th title=\"total_factor\">total_factor</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "      <td>23.4</td>\n",
       "      <td>31.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "      <td>20.6</td>\n",
       "      <td>29.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "      <td>21.0</td>\n",
       "      <td>29.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "      <td>21.4</td>\n",
       "      <td>29.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "      <td>23.0</td>\n",
       "      <td>31.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width    species  \\\n",
       "0           7.9          3.8           6.4          2.0  virginica   \n",
       "1           7.7          2.6           6.9          2.3  virginica   \n",
       "2           7.7          2.8           6.7          2.0  virginica   \n",
       "3           7.7          3.0           6.1          2.3  virginica   \n",
       "4           7.7          3.8           6.7          2.2  virginica   \n",
       "\n",
       "   sepal_factor  total_factor  \n",
       "0          23.4          31.8  \n",
       "1          20.6          29.8  \n",
       "2          21.0          29.7  \n",
       "3          21.4          29.8  \n",
       "4          23.0          31.9  "
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl['total_factor'] = sorttbl.sepal_factor + sorttbl.petal_width + sorttbl.petal_length\n",
    "sorttbl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"sepal_factor\">sepal_factor</th>\n",
       "      <th title=\"total_factor\">total_factor</th>\n",
       "      <th title=\"names\">names</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "      <td>23.4</td>\n",
       "      <td>31.8</td>\n",
       "      <td>sepal / petal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "      <td>20.6</td>\n",
       "      <td>29.8</td>\n",
       "      <td>sepal / petal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "      <td>21.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>sepal / petal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "      <td>21.4</td>\n",
       "      <td>29.8</td>\n",
       "      <td>sepal / petal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "      <td>23.0</td>\n",
       "      <td>31.9</td>\n",
       "      <td>sepal / petal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width    species  \\\n",
       "0           7.9          3.8           6.4          2.0  virginica   \n",
       "1           7.7          2.6           6.9          2.3  virginica   \n",
       "2           7.7          2.8           6.7          2.0  virginica   \n",
       "3           7.7          3.0           6.1          2.3  virginica   \n",
       "4           7.7          3.8           6.7          2.2  virginica   \n",
       "\n",
       "   sepal_factor  total_factor          names  \n",
       "0          23.4          31.8  sepal / petal  \n",
       "1          20.6          29.8  sepal / petal  \n",
       "2          21.0          29.7  sepal / petal  \n",
       "3          21.4          29.8  sepal / petal  \n",
       "4          23.0          31.9  sepal / petal  "
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl['names'] = 'sepal / petal'\n",
    "sorttbl.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Selected Rows from Table DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"sepal_factor\">sepal_factor</th>\n",
       "      <th title=\"total_factor\">total_factor</th>\n",
       "      <th title=\"names\">names</th>\n",
       "      <th title=\"cap_names\">cap_names</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7.9</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "      <td>23.4</td>\n",
       "      <td>31.8</td>\n",
       "      <td>sepal / petal</td>\n",
       "      <td>Sepal / Petal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.6</td>\n",
       "      <td>6.9</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "      <td>20.6</td>\n",
       "      <td>29.8</td>\n",
       "      <td>sepal / petal</td>\n",
       "      <td>Sepal / Petal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.7</td>\n",
       "      <td>2.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>virginica</td>\n",
       "      <td>21.0</td>\n",
       "      <td>29.7</td>\n",
       "      <td>sepal / petal</td>\n",
       "      <td>Sepal / Petal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>2.3</td>\n",
       "      <td>virginica</td>\n",
       "      <td>21.4</td>\n",
       "      <td>29.8</td>\n",
       "      <td>sepal / petal</td>\n",
       "      <td>Sepal / Petal</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>7.7</td>\n",
       "      <td>3.8</td>\n",
       "      <td>6.7</td>\n",
       "      <td>2.2</td>\n",
       "      <td>virginica</td>\n",
       "      <td>23.0</td>\n",
       "      <td>31.9</td>\n",
       "      <td>sepal / petal</td>\n",
       "      <td>Sepal / Petal</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Selected Rows from Table DATA.IRIS\n",
       "\n",
       "   sepal_length  sepal_width  petal_length  petal_width    species  \\\n",
       "0           7.9          3.8           6.4          2.0  virginica   \n",
       "1           7.7          2.6           6.9          2.3  virginica   \n",
       "2           7.7          2.8           6.7          2.0  virginica   \n",
       "3           7.7          3.0           6.1          2.3  virginica   \n",
       "4           7.7          3.8           6.7          2.2  virginica   \n",
       "\n",
       "   sepal_factor  total_factor          names      cap_names  \n",
       "0          23.4          31.8  sepal / petal  Sepal / Petal  \n",
       "1          20.6          29.8  sepal / petal  Sepal / Petal  \n",
       "2          21.0          29.7  sepal / petal  Sepal / Petal  \n",
       "3          21.4          29.8  sepal / petal  Sepal / Petal  \n",
       "4          23.0          31.9  sepal / petal  Sepal / Petal  "
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sorttbl['cap_names'] = sorttbl.names.str.title()\n",
    "sorttbl.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### By Groups"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Specifying groupings explicitly on the CASTable object."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASTable('DATA.IRIS', caslib='CASUSER(username)', groupby=['species'])"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.set_param('groupby', ['species'])\n",
    "tbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"cas-results-key\"><b>&#167; ByGroupInfo</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>ByGroupInfo</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"species_f\">species_f</th>\n",
       "      <th title=\"_key_\">_key_</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup1.Summary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.3</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup2.Summary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup3.Summary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-output-area\"></div>\n",
       "<p class=\"cas-results-performance\"><small><span class=\"cas-elapsed\">elapsed 0.0079s</span> &#183; <span class=\"cas-user\">user 0.006s</span> &#183; <span class=\"cas-sys\">sys 0.005s</span> &#183; <span class=\"cas-memory\">mem 1.93MB</span></small></p>"
      ],
      "text/plain": [
       "[ByGroupInfo]\n",
       "\n",
       " ByGroupInfo\n",
       " \n",
       "       species   species_f       _key_\n",
       " 0      setosa      setosa      setosa\n",
       " 1  versicolor  versicolor  versicolor\n",
       " 2   virginica   virginica   virginica\n",
       "\n",
       "[ByGroup1.Summary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                Column  Min  Max\n",
       " species                        \n",
       " setosa   sepal_length  4.3  5.8\n",
       " setosa    sepal_width  2.3  4.4\n",
       " setosa   petal_length  1.0  1.9\n",
       " setosa    petal_width  0.1  0.6\n",
       "\n",
       "[ByGroup2.Summary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                   Column  Min  Max\n",
       " species                           \n",
       " versicolor  sepal_length  4.9  7.0\n",
       " versicolor   sepal_width  2.0  3.4\n",
       " versicolor  petal_length  3.0  5.1\n",
       " versicolor   petal_width  1.0  1.8\n",
       "\n",
       "[ByGroup3.Summary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                  Column  Min  Max\n",
       " species                          \n",
       " virginica  sepal_length  4.9  7.9\n",
       " virginica   sepal_width  2.2  3.8\n",
       " virginica  petal_length  4.5  6.9\n",
       " virginica   petal_width  1.4  2.5\n",
       "\n",
       "+ Elapsed: 0.0079s, user: 0.006s, sys: 0.005s, mem: 1.93mb"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.summary(subset=['min', 'max'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "CASTable('DATA.IRIS', caslib='CASUSER(username)')"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "tbl.del_param('groupby')\n",
    "tbl"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Using the DataFrame method of specifying by groups."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<swat.cas.table.CASTableGroupBy at 0x7f367e63e710>"
      ]
     },
     "execution_count": 94,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grptbl = tbl.groupby(['species'])\n",
    "grptbl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"cas-results-key\"><b>&#167; ByGroupInfo</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>ByGroupInfo</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"species_f\">species_f</th>\n",
       "      <th title=\"_key_\">_key_</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup1.Summary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.3</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup2.Summary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup3.Summary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-output-area\"></div>\n",
       "<p class=\"cas-results-performance\"><small><span class=\"cas-elapsed\">elapsed 0.00888s</span> &#183; <span class=\"cas-user\">user 0.001s</span> &#183; <span class=\"cas-sys\">sys 0.013s</span> &#183; <span class=\"cas-memory\">mem 1.93MB</span></small></p>"
      ],
      "text/plain": [
       "[ByGroupInfo]\n",
       "\n",
       " ByGroupInfo\n",
       " \n",
       "       species   species_f       _key_\n",
       " 0      setosa      setosa      setosa\n",
       " 1  versicolor  versicolor  versicolor\n",
       " 2   virginica   virginica   virginica\n",
       "\n",
       "[ByGroup1.Summary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                Column  Min  Max\n",
       " species                        \n",
       " setosa   sepal_length  4.3  5.8\n",
       " setosa    sepal_width  2.3  4.4\n",
       " setosa   petal_length  1.0  1.9\n",
       " setosa    petal_width  0.1  0.6\n",
       "\n",
       "[ByGroup2.Summary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                   Column  Min  Max\n",
       " species                           \n",
       " versicolor  sepal_length  4.9  7.0\n",
       " versicolor   sepal_width  2.0  3.4\n",
       " versicolor  petal_length  3.0  5.1\n",
       " versicolor   petal_width  1.0  1.8\n",
       "\n",
       "[ByGroup3.Summary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                  Column  Min  Max\n",
       " species                          \n",
       " virginica  sepal_length  4.9  7.9\n",
       " virginica   sepal_width  2.2  3.8\n",
       " virginica  petal_length  4.5  6.9\n",
       " virginica   petal_width  1.4  2.5\n",
       "\n",
       "+ Elapsed: 0.00888s, user: 0.001s, sys: 0.013s, mem: 1.93mb"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grptbl.summary(subset=['min', 'max'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Concatenating By Groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"cas-results-key\"><b>&#167; Summary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.3</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-output-area\"></div>"
      ],
      "text/plain": [
       "[Summary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                   Column  Min  Max\n",
       " species                           \n",
       " setosa      sepal_length  4.3  5.8\n",
       " setosa       sepal_width  2.3  4.4\n",
       " setosa      petal_length  1.0  1.9\n",
       " setosa       petal_width  0.1  0.6\n",
       " versicolor  sepal_length  4.9  7.0\n",
       " versicolor   sepal_width  2.0  3.4\n",
       " versicolor  petal_length  3.0  5.1\n",
       " versicolor   petal_width  1.0  1.8\n",
       " virginica   sepal_length  4.9  7.9\n",
       " virginica    sepal_width  2.2  3.8\n",
       " virginica   petal_length  4.5  6.9\n",
       " virginica    petal_width  1.4  2.5\n",
       "\n"
      ]
     },
     "execution_count": 96,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grpsumm = grptbl.summary(subset=['min', 'max'])\n",
    "grpsumm.concat_bygroups()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Selecting Result Keys by Table Name"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"cas-results-key\"><b>&#167; ByGroupInfo</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>ByGroupInfo</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"species_f\">species_f</th>\n",
       "      <th title=\"_key_\">_key_</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "      <td>setosa</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "      <td>versicolor</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "      <td>virginica</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup1.CorrSimple</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Summary Statistics in Correlation Analysis for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Variable</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev.\">StdDev</th>\n",
       "      <th title=\"Min\">Minimum</th>\n",
       "      <th title=\"Max\">Maximum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>50.0</td>\n",
       "      <td>5.006</td>\n",
       "      <td>250.3</td>\n",
       "      <td>0.352490</td>\n",
       "      <td>4.3</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>50.0</td>\n",
       "      <td>3.418</td>\n",
       "      <td>170.9</td>\n",
       "      <td>0.381024</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.464</td>\n",
       "      <td>73.2</td>\n",
       "      <td>0.173511</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.244</td>\n",
       "      <td>12.2</td>\n",
       "      <td>0.107210</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.6</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup1.Correlation</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Pearson Correlation Coefficients for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Variable</th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.746780</td>\n",
       "      <td>0.263874</td>\n",
       "      <td>0.279092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>0.746780</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.176695</td>\n",
       "      <td>0.279973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>0.263874</td>\n",
       "      <td>0.176695</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.306308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.279092</td>\n",
       "      <td>0.279973</td>\n",
       "      <td>0.306308</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup2.CorrSimple</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Summary Statistics in Correlation Analysis for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Variable</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev.\">StdDev</th>\n",
       "      <th title=\"Min\">Minimum</th>\n",
       "      <th title=\"Max\">Maximum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>50.0</td>\n",
       "      <td>5.936</td>\n",
       "      <td>296.8</td>\n",
       "      <td>0.516171</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2.770</td>\n",
       "      <td>138.5</td>\n",
       "      <td>0.313798</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>50.0</td>\n",
       "      <td>4.260</td>\n",
       "      <td>213.0</td>\n",
       "      <td>0.469911</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>50.0</td>\n",
       "      <td>1.326</td>\n",
       "      <td>66.3</td>\n",
       "      <td>0.197753</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup2.Correlation</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Pearson Correlation Coefficients for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Variable</th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.525911</td>\n",
       "      <td>0.754049</td>\n",
       "      <td>0.546461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>0.525911</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.560522</td>\n",
       "      <td>0.663999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>0.754049</td>\n",
       "      <td>0.560522</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.786668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.546461</td>\n",
       "      <td>0.663999</td>\n",
       "      <td>0.786668</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup3.CorrSimple</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Summary Statistics in Correlation Analysis for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Variable</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev.\">StdDev</th>\n",
       "      <th title=\"Min\">Minimum</th>\n",
       "      <th title=\"Max\">Maximum</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>50.0</td>\n",
       "      <td>6.588</td>\n",
       "      <td>329.4</td>\n",
       "      <td>0.635880</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2.974</td>\n",
       "      <td>148.7</td>\n",
       "      <td>0.322497</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>50.0</td>\n",
       "      <td>5.552</td>\n",
       "      <td>277.6</td>\n",
       "      <td>0.551895</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>50.0</td>\n",
       "      <td>2.026</td>\n",
       "      <td>101.3</td>\n",
       "      <td>0.274650</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup3.Correlation</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Pearson Correlation Coefficients for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Variable</th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.457228</td>\n",
       "      <td>0.864225</td>\n",
       "      <td>0.281108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>0.457228</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.401045</td>\n",
       "      <td>0.537728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>0.864225</td>\n",
       "      <td>0.401045</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.322108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.281108</td>\n",
       "      <td>0.537728</td>\n",
       "      <td>0.322108</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-output-area\"></div>\n",
       "<p class=\"cas-results-performance\"><small><span class=\"cas-elapsed\">elapsed 0.00878s</span> &#183; <span class=\"cas-user\">user 0.009s</span> &#183; <span class=\"cas-sys\">sys 0.004s</span> &#183; <span class=\"cas-memory\">mem 2.04MB</span></small></p>"
      ],
      "text/plain": [
       "[ByGroupInfo]\n",
       "\n",
       " ByGroupInfo\n",
       " \n",
       "       species   species_f       _key_\n",
       " 0      setosa      setosa      setosa\n",
       " 1  versicolor  versicolor  versicolor\n",
       " 2   virginica   virginica   virginica\n",
       "\n",
       "[ByGroup1.CorrSimple]\n",
       "\n",
       " Summary Statistics in Correlation Analysis for DATA.IRIS\n",
       " \n",
       "              Variable     N   Mean    Sum    StdDev  Minimum  Maximum\n",
       " species                                                              \n",
       " setosa   sepal_length  50.0  5.006  250.3  0.352490      4.3      5.8\n",
       " setosa    sepal_width  50.0  3.418  170.9  0.381024      2.3      4.4\n",
       " setosa   petal_length  50.0  1.464   73.2  0.173511      1.0      1.9\n",
       " setosa    petal_width  50.0  0.244   12.2  0.107210      0.1      0.6\n",
       "\n",
       "[ByGroup1.Correlation]\n",
       "\n",
       " Pearson Correlation Coefficients for DATA.IRIS\n",
       " \n",
       "              Variable  sepal_length  sepal_width  petal_length  petal_width\n",
       " species                                                                    \n",
       " setosa   sepal_length      1.000000     0.746780      0.263874     0.279092\n",
       " setosa    sepal_width      0.746780     1.000000      0.176695     0.279973\n",
       " setosa   petal_length      0.263874     0.176695      1.000000     0.306308\n",
       " setosa    petal_width      0.279092     0.279973      0.306308     1.000000\n",
       "\n",
       "[ByGroup2.CorrSimple]\n",
       "\n",
       " Summary Statistics in Correlation Analysis for DATA.IRIS\n",
       " \n",
       "                 Variable     N   Mean    Sum    StdDev  Minimum  Maximum\n",
       " species                                                                 \n",
       " versicolor  sepal_length  50.0  5.936  296.8  0.516171      4.9      7.0\n",
       " versicolor   sepal_width  50.0  2.770  138.5  0.313798      2.0      3.4\n",
       " versicolor  petal_length  50.0  4.260  213.0  0.469911      3.0      5.1\n",
       " versicolor   petal_width  50.0  1.326   66.3  0.197753      1.0      1.8\n",
       "\n",
       "[ByGroup2.Correlation]\n",
       "\n",
       " Pearson Correlation Coefficients for DATA.IRIS\n",
       " \n",
       "                 Variable  sepal_length  sepal_width  petal_length  petal_width\n",
       " species                                                                       \n",
       " versicolor  sepal_length      1.000000     0.525911      0.754049     0.546461\n",
       " versicolor   sepal_width      0.525911     1.000000      0.560522     0.663999\n",
       " versicolor  petal_length      0.754049     0.560522      1.000000     0.786668\n",
       " versicolor   petal_width      0.546461     0.663999      0.786668     1.000000\n",
       "\n",
       "[ByGroup3.CorrSimple]\n",
       "\n",
       " Summary Statistics in Correlation Analysis for DATA.IRIS\n",
       " \n",
       "                Variable     N   Mean    Sum    StdDev  Minimum  Maximum\n",
       " species                                                                \n",
       " virginica  sepal_length  50.0  6.588  329.4  0.635880      4.9      7.9\n",
       " virginica   sepal_width  50.0  2.974  148.7  0.322497      2.2      3.8\n",
       " virginica  petal_length  50.0  5.552  277.6  0.551895      4.5      6.9\n",
       " virginica   petal_width  50.0  2.026  101.3  0.274650      1.4      2.5\n",
       "\n",
       "[ByGroup3.Correlation]\n",
       "\n",
       " Pearson Correlation Coefficients for DATA.IRIS\n",
       " \n",
       "                Variable  sepal_length  sepal_width  petal_length  petal_width\n",
       " species                                                                      \n",
       " virginica  sepal_length      1.000000     0.457228      0.864225     0.281108\n",
       " virginica   sepal_width      0.457228     1.000000      0.401045     0.537728\n",
       " virginica  petal_length      0.864225     0.401045      1.000000     0.322108\n",
       " virginica   petal_width      0.281108     0.537728      0.322108     1.000000\n",
       "\n",
       "+ Elapsed: 0.00878s, user: 0.009s, sys: 0.004s, mem: 2.04mb"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grpcorr = grptbl.correlation()\n",
    "grpcorr"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[Pearson Correlation Coefficients for DATA.IRIS\n",
       " \n",
       "              Variable  sepal_length  sepal_width  petal_length  petal_width\n",
       " species                                                                    \n",
       " setosa   sepal_length      1.000000     0.746780      0.263874     0.279092\n",
       " setosa    sepal_width      0.746780     1.000000      0.176695     0.279973\n",
       " setosa   petal_length      0.263874     0.176695      1.000000     0.306308\n",
       " setosa    petal_width      0.279092     0.279973      0.306308     1.000000,\n",
       " Pearson Correlation Coefficients for DATA.IRIS\n",
       " \n",
       "                 Variable  sepal_length  sepal_width  petal_length  petal_width\n",
       " species                                                                       \n",
       " versicolor  sepal_length      1.000000     0.525911      0.754049     0.546461\n",
       " versicolor   sepal_width      0.525911     1.000000      0.560522     0.663999\n",
       " versicolor  petal_length      0.754049     0.560522      1.000000     0.786668\n",
       " versicolor   petal_width      0.546461     0.663999      0.786668     1.000000,\n",
       " Pearson Correlation Coefficients for DATA.IRIS\n",
       " \n",
       "                Variable  sepal_length  sepal_width  petal_length  petal_width\n",
       " species                                                                      \n",
       " virginica  sepal_length      1.000000     0.457228      0.864225     0.281108\n",
       " virginica   sepal_width      0.457228     1.000000      0.401045     0.537728\n",
       " virginica  petal_length      0.864225     0.401045      1.000000     0.322108\n",
       " virginica   petal_width      0.281108     0.537728      0.322108     1.000000]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grpcorr.get_tables('Correlation')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Pearson Correlation Coefficients for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Variable</th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_width\">sepal_width</th>\n",
       "      <th title=\"petal_length\">petal_length</th>\n",
       "      <th title=\"petal_width\">petal_width</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.746780</td>\n",
       "      <td>0.263874</td>\n",
       "      <td>0.279092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>0.746780</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.176695</td>\n",
       "      <td>0.279973</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>0.263874</td>\n",
       "      <td>0.176695</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.306308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>setosa</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.279092</td>\n",
       "      <td>0.279973</td>\n",
       "      <td>0.306308</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.525911</td>\n",
       "      <td>0.754049</td>\n",
       "      <td>0.546461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>0.525911</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.560522</td>\n",
       "      <td>0.663999</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>0.754049</td>\n",
       "      <td>0.560522</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.786668</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.546461</td>\n",
       "      <td>0.663999</td>\n",
       "      <td>0.786668</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.457228</td>\n",
       "      <td>0.864225</td>\n",
       "      <td>0.281108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>0.457228</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.401045</td>\n",
       "      <td>0.537728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>0.864225</td>\n",
       "      <td>0.401045</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.322108</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>virginica</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.281108</td>\n",
       "      <td>0.537728</td>\n",
       "      <td>0.322108</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Pearson Correlation Coefficients for DATA.IRIS\n",
       "\n",
       "                Variable  sepal_length  sepal_width  petal_length  petal_width\n",
       "species                                                                       \n",
       "setosa      sepal_length      1.000000     0.746780      0.263874     0.279092\n",
       "setosa       sepal_width      0.746780     1.000000      0.176695     0.279973\n",
       "setosa      petal_length      0.263874     0.176695      1.000000     0.306308\n",
       "setosa       petal_width      0.279092     0.279973      0.306308     1.000000\n",
       "versicolor  sepal_length      1.000000     0.525911      0.754049     0.546461\n",
       "versicolor   sepal_width      0.525911     1.000000      0.560522     0.663999\n",
       "versicolor  petal_length      0.754049     0.560522      1.000000     0.786668\n",
       "versicolor   petal_width      0.546461     0.663999      0.786668     1.000000\n",
       "virginica   sepal_length      1.000000     0.457228      0.864225     0.281108\n",
       "virginica    sepal_width      0.457228     1.000000      0.401045     0.537728\n",
       "virginica   petal_length      0.864225     0.401045      1.000000     0.322108\n",
       "virginica    petal_width      0.281108     0.537728      0.322108     1.000000"
      ]
     },
     "execution_count": 99,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "swat.concat(grpcorr.get_tables('Correlation'))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Selecting a Specific By Group"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"cas-results-key\"><b>&#167; Summary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-output-area\"></div>"
      ],
      "text/plain": [
       "[Summary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                   Column  Min  Max\n",
       " species                           \n",
       " versicolor  sepal_length  4.9  7.0\n",
       " versicolor   sepal_width  2.0  3.4\n",
       " versicolor  petal_length  3.0  5.1\n",
       " versicolor   petal_width  1.0  1.8\n",
       "\n"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grpsumm.get_group(['versicolor'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"cas-results-key\"><b>&#167; Summary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"species\">species</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>7.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>3.0</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>versicolor</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-output-area\"></div>"
      ],
      "text/plain": [
       "[Summary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                   Column  Min  Max\n",
       " species                           \n",
       " versicolor  sepal_length  4.9  7.0\n",
       " versicolor   sepal_width  2.0  3.4\n",
       " versicolor  petal_length  3.0  5.1\n",
       " versicolor   petal_width  1.0  1.8\n",
       "\n"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grpsumm.get_group(species='versicolor')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### Handling Multiple Sets of By Groups"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "grpmdsumm = tbl.mdsummary(sets=[dict(groupby=['sepal_length']),\n",
    "                                dict(groupby=['petal_length'])])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['ByGroupSet1.ByGroupInfo',\n",
       " 'ByGroupSet1.ByGroup1.MDSummary',\n",
       " 'ByGroupSet1.ByGroup2.MDSummary',\n",
       " 'ByGroupSet1.ByGroup3.MDSummary',\n",
       " 'ByGroupSet1.ByGroup4.MDSummary',\n",
       " 'ByGroupSet1.ByGroup5.MDSummary',\n",
       " 'ByGroupSet1.ByGroup6.MDSummary',\n",
       " 'ByGroupSet1.ByGroup7.MDSummary',\n",
       " 'ByGroupSet1.ByGroup8.MDSummary',\n",
       " 'ByGroupSet1.ByGroup9.MDSummary',\n",
       " 'ByGroupSet1.ByGroup10.MDSummary',\n",
       " 'ByGroupSet1.ByGroup11.MDSummary',\n",
       " 'ByGroupSet1.ByGroup12.MDSummary',\n",
       " 'ByGroupSet1.ByGroup13.MDSummary',\n",
       " 'ByGroupSet1.ByGroup14.MDSummary',\n",
       " 'ByGroupSet1.ByGroup15.MDSummary',\n",
       " 'ByGroupSet1.ByGroup16.MDSummary',\n",
       " 'ByGroupSet1.ByGroup17.MDSummary',\n",
       " 'ByGroupSet1.ByGroup18.MDSummary',\n",
       " 'ByGroupSet1.ByGroup19.MDSummary',\n",
       " 'ByGroupSet1.ByGroup20.MDSummary',\n",
       " 'ByGroupSet1.ByGroup21.MDSummary',\n",
       " 'ByGroupSet1.ByGroup22.MDSummary',\n",
       " 'ByGroupSet1.ByGroup23.MDSummary',\n",
       " 'ByGroupSet1.ByGroup24.MDSummary',\n",
       " 'ByGroupSet1.ByGroup25.MDSummary',\n",
       " 'ByGroupSet1.ByGroup26.MDSummary',\n",
       " 'ByGroupSet1.ByGroup27.MDSummary',\n",
       " 'ByGroupSet1.ByGroup28.MDSummary',\n",
       " 'ByGroupSet1.ByGroup29.MDSummary',\n",
       " 'ByGroupSet1.ByGroup30.MDSummary',\n",
       " 'ByGroupSet1.ByGroup31.MDSummary',\n",
       " 'ByGroupSet1.ByGroup32.MDSummary',\n",
       " 'ByGroupSet1.ByGroup33.MDSummary',\n",
       " 'ByGroupSet1.ByGroup34.MDSummary',\n",
       " 'ByGroupSet1.ByGroup35.MDSummary',\n",
       " 'ByGroupSet2.ByGroupInfo',\n",
       " 'ByGroupSet2.ByGroup1.MDSummary',\n",
       " 'ByGroupSet2.ByGroup2.MDSummary',\n",
       " 'ByGroupSet2.ByGroup3.MDSummary',\n",
       " 'ByGroupSet2.ByGroup4.MDSummary',\n",
       " 'ByGroupSet2.ByGroup5.MDSummary',\n",
       " 'ByGroupSet2.ByGroup6.MDSummary',\n",
       " 'ByGroupSet2.ByGroup7.MDSummary',\n",
       " 'ByGroupSet2.ByGroup8.MDSummary',\n",
       " 'ByGroupSet2.ByGroup9.MDSummary',\n",
       " 'ByGroupSet2.ByGroup10.MDSummary',\n",
       " 'ByGroupSet2.ByGroup11.MDSummary',\n",
       " 'ByGroupSet2.ByGroup12.MDSummary',\n",
       " 'ByGroupSet2.ByGroup13.MDSummary',\n",
       " 'ByGroupSet2.ByGroup14.MDSummary',\n",
       " 'ByGroupSet2.ByGroup15.MDSummary',\n",
       " 'ByGroupSet2.ByGroup16.MDSummary',\n",
       " 'ByGroupSet2.ByGroup17.MDSummary',\n",
       " 'ByGroupSet2.ByGroup18.MDSummary',\n",
       " 'ByGroupSet2.ByGroup19.MDSummary',\n",
       " 'ByGroupSet2.ByGroup20.MDSummary',\n",
       " 'ByGroupSet2.ByGroup21.MDSummary',\n",
       " 'ByGroupSet2.ByGroup22.MDSummary',\n",
       " 'ByGroupSet2.ByGroup23.MDSummary',\n",
       " 'ByGroupSet2.ByGroup24.MDSummary',\n",
       " 'ByGroupSet2.ByGroup25.MDSummary',\n",
       " 'ByGroupSet2.ByGroup26.MDSummary',\n",
       " 'ByGroupSet2.ByGroup27.MDSummary',\n",
       " 'ByGroupSet2.ByGroup28.MDSummary',\n",
       " 'ByGroupSet2.ByGroup29.MDSummary',\n",
       " 'ByGroupSet2.ByGroup30.MDSummary',\n",
       " 'ByGroupSet2.ByGroup31.MDSummary',\n",
       " 'ByGroupSet2.ByGroup32.MDSummary',\n",
       " 'ByGroupSet2.ByGroup33.MDSummary',\n",
       " 'ByGroupSet2.ByGroup34.MDSummary',\n",
       " 'ByGroupSet2.ByGroup35.MDSummary',\n",
       " 'ByGroupSet2.ByGroup36.MDSummary',\n",
       " 'ByGroupSet2.ByGroup37.MDSummary',\n",
       " 'ByGroupSet2.ByGroup38.MDSummary',\n",
       " 'ByGroupSet2.ByGroup39.MDSummary',\n",
       " 'ByGroupSet2.ByGroup40.MDSummary',\n",
       " 'ByGroupSet2.ByGroup41.MDSummary',\n",
       " 'ByGroupSet2.ByGroup42.MDSummary',\n",
       " 'ByGroupSet2.ByGroup43.MDSummary']"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(grpmdsumm.keys())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"cas-results-key\"><b>&#167; ByGroupInfo</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>ByGroupSet1.ByGroupInfo</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"sepal_length_f\">sepal_length_f</th>\n",
       "      <th title=\"_key_\">_key_</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>5.0</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>6.0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>7.0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4.3</td>\n",
       "      <td>4.3</td>\n",
       "      <td>4.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4.4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>4.6</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>4.7</td>\n",
       "      <td>4.7</td>\n",
       "      <td>4.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>4.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>4.9</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>5.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>5.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>5.2</td>\n",
       "      <td>5.2</td>\n",
       "      <td>5.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>5.3</td>\n",
       "      <td>5.3</td>\n",
       "      <td>5.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>5.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5.5</td>\n",
       "      <td>5.5</td>\n",
       "      <td>5.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>5.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>5.7</td>\n",
       "      <td>5.7</td>\n",
       "      <td>5.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>5.8</td>\n",
       "      <td>5.8</td>\n",
       "      <td>5.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>5.9</td>\n",
       "      <td>5.9</td>\n",
       "      <td>5.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>6.1</td>\n",
       "      <td>6.1</td>\n",
       "      <td>6.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>6.2</td>\n",
       "      <td>6.2</td>\n",
       "      <td>6.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>6.3</td>\n",
       "      <td>6.3</td>\n",
       "      <td>6.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>6.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>6.5</td>\n",
       "      <td>6.5</td>\n",
       "      <td>6.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>6.6</td>\n",
       "      <td>6.6</td>\n",
       "      <td>6.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6.7</td>\n",
       "      <td>6.7</td>\n",
       "      <td>6.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>6.8</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>6.9</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6.9</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>7.1</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>7.3</td>\n",
       "      <td>7.3</td>\n",
       "      <td>7.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>7.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup1.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.00</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>250.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.12</td>\n",
       "      <td>31.2</td>\n",
       "      <td>0.543241</td>\n",
       "      <td>0.171788</td>\n",
       "      <td>0.295111</td>\n",
       "      <td>100.00</td>\n",
       "      <td>2.656</td>\n",
       "      <td>17.411580</td>\n",
       "      <td>18.161922</td>\n",
       "      <td>2.121189e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.84</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.834266</td>\n",
       "      <td>0.263818</td>\n",
       "      <td>0.696000</td>\n",
       "      <td>40.12</td>\n",
       "      <td>6.264</td>\n",
       "      <td>45.340551</td>\n",
       "      <td>6.974502</td>\n",
       "      <td>6.505533e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.43</td>\n",
       "      <td>4.3</td>\n",
       "      <td>0.326769</td>\n",
       "      <td>0.103333</td>\n",
       "      <td>0.106778</td>\n",
       "      <td>2.81</td>\n",
       "      <td>0.961</td>\n",
       "      <td>75.992719</td>\n",
       "      <td>4.161290</td>\n",
       "      <td>2.443024e-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup2.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>216.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.733333</td>\n",
       "      <td>16.4</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>0.192642</td>\n",
       "      <td>0.222667</td>\n",
       "      <td>45.94</td>\n",
       "      <td>1.113333</td>\n",
       "      <td>17.263745</td>\n",
       "      <td>14.188635</td>\n",
       "      <td>0.000031</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.650000</td>\n",
       "      <td>27.9</td>\n",
       "      <td>0.403733</td>\n",
       "      <td>0.164823</td>\n",
       "      <td>0.163000</td>\n",
       "      <td>130.55</td>\n",
       "      <td>0.815000</td>\n",
       "      <td>8.682421</td>\n",
       "      <td>28.212059</td>\n",
       "      <td>0.000001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.268328</td>\n",
       "      <td>0.109545</td>\n",
       "      <td>0.072000</td>\n",
       "      <td>13.86</td>\n",
       "      <td>0.360000</td>\n",
       "      <td>17.888544</td>\n",
       "      <td>13.693064</td>\n",
       "      <td>0.000037</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup3.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.7</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.7</td>\n",
       "      <td>4.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup4.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4.3</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.3</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.3</td>\n",
       "      <td>4.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.49</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.3</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.3</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.21</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.3</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup5.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4.4</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>13.2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>58.08</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.4</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.033333</td>\n",
       "      <td>9.1</td>\n",
       "      <td>0.152753</td>\n",
       "      <td>0.088192</td>\n",
       "      <td>0.023333</td>\n",
       "      <td>27.65</td>\n",
       "      <td>0.046667</td>\n",
       "      <td>5.035797</td>\n",
       "      <td>34.394767</td>\n",
       "      <td>0.000844</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.4</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.057735</td>\n",
       "      <td>0.033333</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>5.34</td>\n",
       "      <td>0.006667</td>\n",
       "      <td>4.330127</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>0.000624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.4</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup6.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.69</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup7.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4.6</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.600</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>84.64</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.6</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.1</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.325</td>\n",
       "      <td>13.3</td>\n",
       "      <td>0.221736</td>\n",
       "      <td>0.110868</td>\n",
       "      <td>0.049167</td>\n",
       "      <td>44.37</td>\n",
       "      <td>0.1475</td>\n",
       "      <td>6.668739</td>\n",
       "      <td>29.990677</td>\n",
       "      <td>0.000081</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.6</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.325</td>\n",
       "      <td>5.3</td>\n",
       "      <td>0.221736</td>\n",
       "      <td>0.110868</td>\n",
       "      <td>0.049167</td>\n",
       "      <td>7.17</td>\n",
       "      <td>0.1475</td>\n",
       "      <td>16.734761</td>\n",
       "      <td>11.951172</td>\n",
       "      <td>0.001260</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.6</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.225</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.002500</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.0075</td>\n",
       "      <td>22.222222</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>0.002896</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup8.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4.7</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.7</td>\n",
       "      <td>4.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.70</td>\n",
       "      <td>9.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>44.18</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.7</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.20</td>\n",
       "      <td>6.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>20.48</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.7</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.45</td>\n",
       "      <td>2.9</td>\n",
       "      <td>0.212132</td>\n",
       "      <td>0.15</td>\n",
       "      <td>0.045</td>\n",
       "      <td>4.25</td>\n",
       "      <td>0.045</td>\n",
       "      <td>14.629795</td>\n",
       "      <td>9.666667</td>\n",
       "      <td>0.065624</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.7</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.20</td>\n",
       "      <td>0.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.08</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup9.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4.8</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.8</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.80</td>\n",
       "      <td>24.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>115.20</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.8</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.4</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.18</td>\n",
       "      <td>15.9</td>\n",
       "      <td>0.204939</td>\n",
       "      <td>0.091652</td>\n",
       "      <td>0.042</td>\n",
       "      <td>50.73</td>\n",
       "      <td>0.168</td>\n",
       "      <td>6.444623</td>\n",
       "      <td>34.696645</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.8</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.9</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.58</td>\n",
       "      <td>7.9</td>\n",
       "      <td>0.204939</td>\n",
       "      <td>0.091652</td>\n",
       "      <td>0.042</td>\n",
       "      <td>12.65</td>\n",
       "      <td>0.168</td>\n",
       "      <td>12.970824</td>\n",
       "      <td>17.239213</td>\n",
       "      <td>0.000066</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.8</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.3</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.20</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.070711</td>\n",
       "      <td>0.031623</td>\n",
       "      <td>0.005</td>\n",
       "      <td>0.22</td>\n",
       "      <td>0.020</td>\n",
       "      <td>35.355339</td>\n",
       "      <td>6.324555</td>\n",
       "      <td>0.003198</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup10.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>4.9</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>4.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.900000</td>\n",
       "      <td>29.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>144.06</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.9</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.4</td>\n",
       "      <td>3.1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.866667</td>\n",
       "      <td>17.2</td>\n",
       "      <td>0.326599</td>\n",
       "      <td>0.133333</td>\n",
       "      <td>0.106667</td>\n",
       "      <td>49.84</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>11.392976</td>\n",
       "      <td>21.500000</td>\n",
       "      <td>0.000004</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.9</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.283333</td>\n",
       "      <td>13.7</td>\n",
       "      <td>1.309071</td>\n",
       "      <td>0.534426</td>\n",
       "      <td>1.713667</td>\n",
       "      <td>39.85</td>\n",
       "      <td>8.568333</td>\n",
       "      <td>57.331573</td>\n",
       "      <td>4.272497</td>\n",
       "      <td>0.007920</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.9</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.7</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.533333</td>\n",
       "      <td>3.2</td>\n",
       "      <td>0.671317</td>\n",
       "      <td>0.274064</td>\n",
       "      <td>0.450667</td>\n",
       "      <td>3.96</td>\n",
       "      <td>2.253333</td>\n",
       "      <td>125.871959</td>\n",
       "      <td>1.946017</td>\n",
       "      <td>0.109226</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup11.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5.1</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.1</td>\n",
       "      <td>5.1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.100000</td>\n",
       "      <td>45.9</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>234.09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.1</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.8</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.477778</td>\n",
       "      <td>31.3</td>\n",
       "      <td>0.411636</td>\n",
       "      <td>0.137212</td>\n",
       "      <td>0.169444</td>\n",
       "      <td>110.21</td>\n",
       "      <td>1.355556</td>\n",
       "      <td>11.836188</td>\n",
       "      <td>25.345999</td>\n",
       "      <td>6.289140e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.1</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.722222</td>\n",
       "      <td>15.5</td>\n",
       "      <td>0.504425</td>\n",
       "      <td>0.168142</td>\n",
       "      <td>0.254444</td>\n",
       "      <td>28.73</td>\n",
       "      <td>2.035556</td>\n",
       "      <td>29.289186</td>\n",
       "      <td>10.242688</td>\n",
       "      <td>7.094836e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.1</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.1</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.400000</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0.282843</td>\n",
       "      <td>0.094281</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>2.08</td>\n",
       "      <td>0.640000</td>\n",
       "      <td>70.710678</td>\n",
       "      <td>4.242641</td>\n",
       "      <td>2.827299e-03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup12.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5.2</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.2</td>\n",
       "      <td>5.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.200</td>\n",
       "      <td>20.8</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>108.16</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.2</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.7</td>\n",
       "      <td>4.1</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.425</td>\n",
       "      <td>13.7</td>\n",
       "      <td>0.573730</td>\n",
       "      <td>0.286865</td>\n",
       "      <td>0.329167</td>\n",
       "      <td>47.91</td>\n",
       "      <td>0.9875</td>\n",
       "      <td>16.751255</td>\n",
       "      <td>11.939404</td>\n",
       "      <td>0.001264</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.2</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.4</td>\n",
       "      <td>3.9</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.075</td>\n",
       "      <td>8.3</td>\n",
       "      <td>1.217580</td>\n",
       "      <td>0.608790</td>\n",
       "      <td>1.482500</td>\n",
       "      <td>21.67</td>\n",
       "      <td>4.4475</td>\n",
       "      <td>58.678533</td>\n",
       "      <td>3.408401</td>\n",
       "      <td>0.042200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.2</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.475</td>\n",
       "      <td>1.9</td>\n",
       "      <td>0.618466</td>\n",
       "      <td>0.309233</td>\n",
       "      <td>0.382500</td>\n",
       "      <td>2.05</td>\n",
       "      <td>1.1475</td>\n",
       "      <td>130.203336</td>\n",
       "      <td>1.536059</td>\n",
       "      <td>0.222105</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup13.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5.3</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.3</td>\n",
       "      <td>5.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.3</td>\n",
       "      <td>5.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>28.09</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.3</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.7</td>\n",
       "      <td>3.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.7</td>\n",
       "      <td>3.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>13.69</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.3</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.25</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.3</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.04</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup14.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5.4</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.4</td>\n",
       "      <td>5.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>32.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>174.96</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.4</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.550000</td>\n",
       "      <td>21.3</td>\n",
       "      <td>0.350714</td>\n",
       "      <td>0.143178</td>\n",
       "      <td>0.123000</td>\n",
       "      <td>76.23</td>\n",
       "      <td>0.615000</td>\n",
       "      <td>9.879255</td>\n",
       "      <td>24.794275</td>\n",
       "      <td>0.000002</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.4</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.033333</td>\n",
       "      <td>12.2</td>\n",
       "      <td>1.217648</td>\n",
       "      <td>0.497103</td>\n",
       "      <td>1.482667</td>\n",
       "      <td>32.22</td>\n",
       "      <td>7.413333</td>\n",
       "      <td>59.884328</td>\n",
       "      <td>4.090369</td>\n",
       "      <td>0.009443</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.4</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.5</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.516667</td>\n",
       "      <td>3.1</td>\n",
       "      <td>0.491596</td>\n",
       "      <td>0.200693</td>\n",
       "      <td>0.241667</td>\n",
       "      <td>2.81</td>\n",
       "      <td>1.208333</td>\n",
       "      <td>95.147621</td>\n",
       "      <td>2.574410</td>\n",
       "      <td>0.049768</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup15.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5.5</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.5</td>\n",
       "      <td>5.5</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.500000</td>\n",
       "      <td>38.5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>211.75</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.5</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.842857</td>\n",
       "      <td>19.9</td>\n",
       "      <td>0.723089</td>\n",
       "      <td>0.273302</td>\n",
       "      <td>0.522857</td>\n",
       "      <td>59.71</td>\n",
       "      <td>3.137143</td>\n",
       "      <td>25.435278</td>\n",
       "      <td>10.401897</td>\n",
       "      <td>0.000046</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.5</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.3</td>\n",
       "      <td>4.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.228571</td>\n",
       "      <td>22.6</td>\n",
       "      <td>1.302196</td>\n",
       "      <td>0.492184</td>\n",
       "      <td>1.695714</td>\n",
       "      <td>83.14</td>\n",
       "      <td>10.174286</td>\n",
       "      <td>40.333503</td>\n",
       "      <td>6.559686</td>\n",
       "      <td>0.000601</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.5</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.3</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.900000</td>\n",
       "      <td>6.3</td>\n",
       "      <td>0.489898</td>\n",
       "      <td>0.185164</td>\n",
       "      <td>0.240000</td>\n",
       "      <td>7.11</td>\n",
       "      <td>1.440000</td>\n",
       "      <td>54.433105</td>\n",
       "      <td>4.860556</td>\n",
       "      <td>0.002821</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup16.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5.6</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.6</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.600000</td>\n",
       "      <td>33.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>188.16</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.6</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.816667</td>\n",
       "      <td>16.9</td>\n",
       "      <td>0.194079</td>\n",
       "      <td>0.079232</td>\n",
       "      <td>0.037667</td>\n",
       "      <td>47.79</td>\n",
       "      <td>0.188333</td>\n",
       "      <td>6.890379</td>\n",
       "      <td>35.549417</td>\n",
       "      <td>3.314870e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.6</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.9</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.200000</td>\n",
       "      <td>25.2</td>\n",
       "      <td>0.456070</td>\n",
       "      <td>0.186190</td>\n",
       "      <td>0.208000</td>\n",
       "      <td>106.88</td>\n",
       "      <td>1.040000</td>\n",
       "      <td>10.858814</td>\n",
       "      <td>22.557619</td>\n",
       "      <td>3.182265e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.6</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.1</td>\n",
       "      <td>2.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.416667</td>\n",
       "      <td>8.5</td>\n",
       "      <td>0.312517</td>\n",
       "      <td>0.127584</td>\n",
       "      <td>0.097667</td>\n",
       "      <td>12.53</td>\n",
       "      <td>0.488333</td>\n",
       "      <td>22.060000</td>\n",
       "      <td>11.103761</td>\n",
       "      <td>1.032606e-04</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup17.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5.7</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.7</td>\n",
       "      <td>5.7</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.7000</td>\n",
       "      <td>45.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>259.92</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.7</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.5</td>\n",
       "      <td>4.4</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.1000</td>\n",
       "      <td>24.8</td>\n",
       "      <td>0.656832</td>\n",
       "      <td>0.232225</td>\n",
       "      <td>0.431429</td>\n",
       "      <td>79.90</td>\n",
       "      <td>3.02000</td>\n",
       "      <td>21.188136</td>\n",
       "      <td>13.349108</td>\n",
       "      <td>0.000003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.7</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.5875</td>\n",
       "      <td>28.7</td>\n",
       "      <td>1.296630</td>\n",
       "      <td>0.458428</td>\n",
       "      <td>1.681250</td>\n",
       "      <td>114.73</td>\n",
       "      <td>11.76875</td>\n",
       "      <td>36.143003</td>\n",
       "      <td>7.825656</td>\n",
       "      <td>0.000105</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.7</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.3</td>\n",
       "      <td>2.0</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.1000</td>\n",
       "      <td>8.8</td>\n",
       "      <td>0.545108</td>\n",
       "      <td>0.192725</td>\n",
       "      <td>0.297143</td>\n",
       "      <td>11.76</td>\n",
       "      <td>2.08000</td>\n",
       "      <td>49.555283</td>\n",
       "      <td>5.707620</td>\n",
       "      <td>0.000730</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup18.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5.8</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.8</td>\n",
       "      <td>5.8</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.800000</td>\n",
       "      <td>40.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>235.48</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.8</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.885714</td>\n",
       "      <td>20.2</td>\n",
       "      <td>0.494734</td>\n",
       "      <td>0.186992</td>\n",
       "      <td>0.244762</td>\n",
       "      <td>59.76</td>\n",
       "      <td>1.468571</td>\n",
       "      <td>17.144254</td>\n",
       "      <td>15.432292</td>\n",
       "      <td>0.000005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.8</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.2</td>\n",
       "      <td>5.1</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.071429</td>\n",
       "      <td>28.5</td>\n",
       "      <td>1.381683</td>\n",
       "      <td>0.522227</td>\n",
       "      <td>1.909048</td>\n",
       "      <td>127.49</td>\n",
       "      <td>11.454286</td>\n",
       "      <td>33.936071</td>\n",
       "      <td>7.796281</td>\n",
       "      <td>0.000235</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.8</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>2.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0.728011</td>\n",
       "      <td>0.275162</td>\n",
       "      <td>0.530000</td>\n",
       "      <td>16.90</td>\n",
       "      <td>3.180000</td>\n",
       "      <td>52.000785</td>\n",
       "      <td>5.087906</td>\n",
       "      <td>0.002248</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup19.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5.9</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.9</td>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>17.7</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>104.43</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.9</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.066667</td>\n",
       "      <td>9.2</td>\n",
       "      <td>0.115470</td>\n",
       "      <td>0.066667</td>\n",
       "      <td>0.013333</td>\n",
       "      <td>28.24</td>\n",
       "      <td>0.026667</td>\n",
       "      <td>3.765328</td>\n",
       "      <td>46.00000</td>\n",
       "      <td>0.000472</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.9</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.2</td>\n",
       "      <td>5.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.700000</td>\n",
       "      <td>14.1</td>\n",
       "      <td>0.458258</td>\n",
       "      <td>0.264575</td>\n",
       "      <td>0.210000</td>\n",
       "      <td>66.69</td>\n",
       "      <td>0.420000</td>\n",
       "      <td>9.750161</td>\n",
       "      <td>17.76433</td>\n",
       "      <td>0.003154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5.9</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.5</td>\n",
       "      <td>1.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.700000</td>\n",
       "      <td>5.1</td>\n",
       "      <td>0.173205</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.030000</td>\n",
       "      <td>8.73</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>10.188534</td>\n",
       "      <td>17.00000</td>\n",
       "      <td>0.003442</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup20.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.1</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.1</td>\n",
       "      <td>6.1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>36.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>223.26</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.1</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.850000</td>\n",
       "      <td>17.1</td>\n",
       "      <td>0.151658</td>\n",
       "      <td>0.061914</td>\n",
       "      <td>0.023000</td>\n",
       "      <td>48.85</td>\n",
       "      <td>0.115000</td>\n",
       "      <td>5.321316</td>\n",
       "      <td>46.031653</td>\n",
       "      <td>9.137503e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.1</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.6</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.750000</td>\n",
       "      <td>28.5</td>\n",
       "      <td>0.516720</td>\n",
       "      <td>0.210950</td>\n",
       "      <td>0.267000</td>\n",
       "      <td>136.71</td>\n",
       "      <td>1.335000</td>\n",
       "      <td>10.878325</td>\n",
       "      <td>22.517159</td>\n",
       "      <td>3.210716e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.1</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.2</td>\n",
       "      <td>1.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.416667</td>\n",
       "      <td>8.5</td>\n",
       "      <td>0.204124</td>\n",
       "      <td>0.083333</td>\n",
       "      <td>0.041667</td>\n",
       "      <td>12.25</td>\n",
       "      <td>0.208333</td>\n",
       "      <td>14.408763</td>\n",
       "      <td>17.000000</td>\n",
       "      <td>1.288522e-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup21.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.2</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.2</td>\n",
       "      <td>6.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.200</td>\n",
       "      <td>24.8</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>153.76</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.2</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.825</td>\n",
       "      <td>11.3</td>\n",
       "      <td>0.492443</td>\n",
       "      <td>0.246221</td>\n",
       "      <td>0.242500</td>\n",
       "      <td>32.65</td>\n",
       "      <td>0.7275</td>\n",
       "      <td>17.431607</td>\n",
       "      <td>11.473412</td>\n",
       "      <td>0.001421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.2</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.3</td>\n",
       "      <td>5.4</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.750</td>\n",
       "      <td>19.0</td>\n",
       "      <td>0.479583</td>\n",
       "      <td>0.239792</td>\n",
       "      <td>0.230000</td>\n",
       "      <td>90.94</td>\n",
       "      <td>0.6900</td>\n",
       "      <td>10.096487</td>\n",
       "      <td>19.808869</td>\n",
       "      <td>0.000281</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.2</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.725</td>\n",
       "      <td>6.9</td>\n",
       "      <td>0.434933</td>\n",
       "      <td>0.217466</td>\n",
       "      <td>0.189167</td>\n",
       "      <td>12.47</td>\n",
       "      <td>0.5675</td>\n",
       "      <td>25.213504</td>\n",
       "      <td>7.932257</td>\n",
       "      <td>0.004178</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup22.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.3</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.3</td>\n",
       "      <td>6.3</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>56.7</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>357.21</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.3</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.4</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.855556</td>\n",
       "      <td>25.7</td>\n",
       "      <td>0.400347</td>\n",
       "      <td>0.133449</td>\n",
       "      <td>0.160278</td>\n",
       "      <td>74.67</td>\n",
       "      <td>1.282222</td>\n",
       "      <td>14.019936</td>\n",
       "      <td>21.398100</td>\n",
       "      <td>2.394042e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.3</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.133333</td>\n",
       "      <td>46.2</td>\n",
       "      <td>0.504975</td>\n",
       "      <td>0.168325</td>\n",
       "      <td>0.255000</td>\n",
       "      <td>239.20</td>\n",
       "      <td>2.040000</td>\n",
       "      <td>9.837180</td>\n",
       "      <td>30.496544</td>\n",
       "      <td>1.451513e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.3</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.5</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.811111</td>\n",
       "      <td>16.3</td>\n",
       "      <td>0.407567</td>\n",
       "      <td>0.135856</td>\n",
       "      <td>0.166111</td>\n",
       "      <td>30.85</td>\n",
       "      <td>1.328889</td>\n",
       "      <td>22.503716</td>\n",
       "      <td>13.331131</td>\n",
       "      <td>9.581107e-07</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup23.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.4</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>44.8</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>286.72</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.4</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.7</td>\n",
       "      <td>3.2</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.957143</td>\n",
       "      <td>20.7</td>\n",
       "      <td>0.207020</td>\n",
       "      <td>0.078246</td>\n",
       "      <td>0.042857</td>\n",
       "      <td>61.47</td>\n",
       "      <td>0.257143</td>\n",
       "      <td>7.000665</td>\n",
       "      <td>37.792856</td>\n",
       "      <td>2.291217e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.4</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.3</td>\n",
       "      <td>5.6</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.157143</td>\n",
       "      <td>36.1</td>\n",
       "      <td>0.534968</td>\n",
       "      <td>0.202199</td>\n",
       "      <td>0.286190</td>\n",
       "      <td>187.89</td>\n",
       "      <td>1.717143</td>\n",
       "      <td>10.373336</td>\n",
       "      <td>25.505309</td>\n",
       "      <td>2.393604e-07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.4</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>7.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.871429</td>\n",
       "      <td>13.1</td>\n",
       "      <td>0.368394</td>\n",
       "      <td>0.139240</td>\n",
       "      <td>0.135714</td>\n",
       "      <td>25.33</td>\n",
       "      <td>0.814286</td>\n",
       "      <td>19.685186</td>\n",
       "      <td>13.440316</td>\n",
       "      <td>1.050948e-05</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup24.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.5</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.5</td>\n",
       "      <td>6.5</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.50</td>\n",
       "      <td>32.5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000</td>\n",
       "      <td>211.25</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.5</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.00</td>\n",
       "      <td>15.0</td>\n",
       "      <td>0.141421</td>\n",
       "      <td>0.063246</td>\n",
       "      <td>0.020</td>\n",
       "      <td>45.08</td>\n",
       "      <td>0.080</td>\n",
       "      <td>4.714045</td>\n",
       "      <td>47.434165</td>\n",
       "      <td>0.000001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.5</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.6</td>\n",
       "      <td>5.8</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.24</td>\n",
       "      <td>26.2</td>\n",
       "      <td>0.450555</td>\n",
       "      <td>0.201494</td>\n",
       "      <td>0.203</td>\n",
       "      <td>138.10</td>\n",
       "      <td>0.812</td>\n",
       "      <td>8.598382</td>\n",
       "      <td>26.005683</td>\n",
       "      <td>0.000013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.5</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.2</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.90</td>\n",
       "      <td>9.5</td>\n",
       "      <td>0.264575</td>\n",
       "      <td>0.118322</td>\n",
       "      <td>0.070</td>\n",
       "      <td>18.33</td>\n",
       "      <td>0.280</td>\n",
       "      <td>13.925007</td>\n",
       "      <td>16.057931</td>\n",
       "      <td>0.000088</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup25.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.6</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.6</td>\n",
       "      <td>6.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.60</td>\n",
       "      <td>13.2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000</td>\n",
       "      <td>87.12</td>\n",
       "      <td>0.000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.6</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.95</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0.070711</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.005</td>\n",
       "      <td>17.41</td>\n",
       "      <td>0.005</td>\n",
       "      <td>2.396972</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.010789</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.6</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.6</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.50</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.141421</td>\n",
       "      <td>0.10</td>\n",
       "      <td>0.020</td>\n",
       "      <td>40.52</td>\n",
       "      <td>0.020</td>\n",
       "      <td>3.142697</td>\n",
       "      <td>45.0</td>\n",
       "      <td>0.014145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.6</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.35</td>\n",
       "      <td>2.7</td>\n",
       "      <td>0.070711</td>\n",
       "      <td>0.05</td>\n",
       "      <td>0.005</td>\n",
       "      <td>3.65</td>\n",
       "      <td>0.005</td>\n",
       "      <td>5.237828</td>\n",
       "      <td>27.0</td>\n",
       "      <td>0.023568</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup26.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.7</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.7</td>\n",
       "      <td>6.7</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.7000</td>\n",
       "      <td>53.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>359.12</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.7</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.3</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0500</td>\n",
       "      <td>24.4</td>\n",
       "      <td>0.250713</td>\n",
       "      <td>0.088641</td>\n",
       "      <td>0.062857</td>\n",
       "      <td>74.86</td>\n",
       "      <td>0.44000</td>\n",
       "      <td>8.220107</td>\n",
       "      <td>34.408641</td>\n",
       "      <td>4.540850e-09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.7</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.4</td>\n",
       "      <td>5.8</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.2625</td>\n",
       "      <td>42.1</td>\n",
       "      <td>0.523552</td>\n",
       "      <td>0.185104</td>\n",
       "      <td>0.274107</td>\n",
       "      <td>223.47</td>\n",
       "      <td>1.91875</td>\n",
       "      <td>9.948740</td>\n",
       "      <td>28.430004</td>\n",
       "      <td>1.712713e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.7</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.5</td>\n",
       "      <td>8.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.9625</td>\n",
       "      <td>15.7</td>\n",
       "      <td>0.420671</td>\n",
       "      <td>0.148730</td>\n",
       "      <td>0.176964</td>\n",
       "      <td>32.05</td>\n",
       "      <td>1.23875</td>\n",
       "      <td>21.435477</td>\n",
       "      <td>13.195074</td>\n",
       "      <td>3.354384e-06</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup27.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.8</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.8</td>\n",
       "      <td>6.8</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.800000</td>\n",
       "      <td>20.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>138.72</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.8</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.8</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.115470</td>\n",
       "      <td>0.040000</td>\n",
       "      <td>27.08</td>\n",
       "      <td>0.080000</td>\n",
       "      <td>6.666667</td>\n",
       "      <td>25.980762</td>\n",
       "      <td>0.001478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.8</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.8</td>\n",
       "      <td>5.9</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>16.2</td>\n",
       "      <td>0.556776</td>\n",
       "      <td>0.321455</td>\n",
       "      <td>0.310000</td>\n",
       "      <td>88.10</td>\n",
       "      <td>0.620000</td>\n",
       "      <td>10.310675</td>\n",
       "      <td>16.798617</td>\n",
       "      <td>0.003525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.8</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.4</td>\n",
       "      <td>2.3</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.933333</td>\n",
       "      <td>5.8</td>\n",
       "      <td>0.472582</td>\n",
       "      <td>0.272845</td>\n",
       "      <td>0.223333</td>\n",
       "      <td>11.66</td>\n",
       "      <td>0.446667</td>\n",
       "      <td>24.443874</td>\n",
       "      <td>7.085828</td>\n",
       "      <td>0.019341</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup28.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>6.9</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.9</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.900</td>\n",
       "      <td>27.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>190.44</td>\n",
       "      <td>0.0000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.9</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.1</td>\n",
       "      <td>3.2</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.125</td>\n",
       "      <td>12.5</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.002500</td>\n",
       "      <td>39.07</td>\n",
       "      <td>0.0075</td>\n",
       "      <td>1.600000</td>\n",
       "      <td>125.000000</td>\n",
       "      <td>0.000001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.9</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>5.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.275</td>\n",
       "      <td>21.1</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>0.175000</td>\n",
       "      <td>0.122500</td>\n",
       "      <td>111.67</td>\n",
       "      <td>0.3675</td>\n",
       "      <td>6.635071</td>\n",
       "      <td>30.142857</td>\n",
       "      <td>0.000080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.9</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.050</td>\n",
       "      <td>8.2</td>\n",
       "      <td>0.378594</td>\n",
       "      <td>0.189297</td>\n",
       "      <td>0.143333</td>\n",
       "      <td>17.24</td>\n",
       "      <td>0.4300</td>\n",
       "      <td>18.467995</td>\n",
       "      <td>10.829546</td>\n",
       "      <td>0.001684</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup29.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7.1</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.1</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.1</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>5.9</td>\n",
       "      <td>5.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.9</td>\n",
       "      <td>5.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.81</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.1</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup30.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7.2</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>21.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>155.52</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.2</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.266667</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0.305505</td>\n",
       "      <td>0.176383</td>\n",
       "      <td>0.093333</td>\n",
       "      <td>32.20</td>\n",
       "      <td>0.186667</td>\n",
       "      <td>9.352195</td>\n",
       "      <td>18.520259</td>\n",
       "      <td>0.002903</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.2</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>5.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.966667</td>\n",
       "      <td>17.9</td>\n",
       "      <td>0.152753</td>\n",
       "      <td>0.088192</td>\n",
       "      <td>0.023333</td>\n",
       "      <td>106.85</td>\n",
       "      <td>0.046667</td>\n",
       "      <td>2.560098</td>\n",
       "      <td>67.655641</td>\n",
       "      <td>0.000218</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.2</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.966667</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0.472582</td>\n",
       "      <td>0.272845</td>\n",
       "      <td>0.223333</td>\n",
       "      <td>12.05</td>\n",
       "      <td>0.446667</td>\n",
       "      <td>24.029571</td>\n",
       "      <td>7.207997</td>\n",
       "      <td>0.018709</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup31.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7.3</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.3</td>\n",
       "      <td>7.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.3</td>\n",
       "      <td>7.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.29</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.3</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.9</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.9</td>\n",
       "      <td>2.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.3</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>6.3</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.3</td>\n",
       "      <td>6.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.69</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.3</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.24</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup32.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7.4</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.4</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.84</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.4</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>6.1</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.1</td>\n",
       "      <td>6.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.21</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.4</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.61</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup33.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7.6</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.76</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.6</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.6</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>6.6</td>\n",
       "      <td>6.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.6</td>\n",
       "      <td>6.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.56</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.6</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup34.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7.7</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.70</td>\n",
       "      <td>30.8</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>237.16</td>\n",
       "      <td>0.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.7</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.05</td>\n",
       "      <td>12.2</td>\n",
       "      <td>0.525991</td>\n",
       "      <td>0.262996</td>\n",
       "      <td>0.276667</td>\n",
       "      <td>38.04</td>\n",
       "      <td>0.83</td>\n",
       "      <td>17.245611</td>\n",
       "      <td>11.597154</td>\n",
       "      <td>0.001377</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.7</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>6.1</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.60</td>\n",
       "      <td>26.4</td>\n",
       "      <td>0.346410</td>\n",
       "      <td>0.173205</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>174.60</td>\n",
       "      <td>0.36</td>\n",
       "      <td>5.248639</td>\n",
       "      <td>38.105118</td>\n",
       "      <td>0.000040</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.7</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.20</td>\n",
       "      <td>8.8</td>\n",
       "      <td>0.141421</td>\n",
       "      <td>0.070711</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>19.42</td>\n",
       "      <td>0.06</td>\n",
       "      <td>6.428243</td>\n",
       "      <td>31.112698</td>\n",
       "      <td>0.000073</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-results-key\"><hr/><b>&#167; ByGroup35.MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7.9</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.41</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.9</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.8</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.8</td>\n",
       "      <td>3.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.44</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.9</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.96</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.9</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-output-area\"></div>"
      ],
      "text/plain": [
       "[ByGroupInfo]\n",
       "\n",
       " ByGroupSet1.ByGroupInfo\n",
       " \n",
       "     sepal_length sepal_length_f         _key_\n",
       " 0            5.0              5             5\n",
       " 1            6.0              6             6\n",
       " 2            7.0              7             7\n",
       " 3            4.3            4.3           4.3\n",
       " 4            4.4            4.4           4.4\n",
       " 5            4.5            4.5           4.5\n",
       " 6            4.6            4.6           4.6\n",
       " 7            4.7            4.7           4.7\n",
       " 8            4.8            4.8           4.8\n",
       " 9            4.9            4.9           4.9\n",
       " 10           5.1            5.1           5.1\n",
       " 11           5.2            5.2           5.2\n",
       " 12           5.3            5.3           5.3\n",
       " 13           5.4            5.4           5.4\n",
       " 14           5.5            5.5           5.5\n",
       " 15           5.6            5.6           5.6\n",
       " 16           5.7            5.7           5.7\n",
       " 17           5.8            5.8           5.8\n",
       " 18           5.9            5.9           5.9\n",
       " 19           6.1            6.1           6.1\n",
       " 20           6.2            6.2           6.2\n",
       " 21           6.3            6.3           6.3\n",
       " 22           6.4            6.4           6.4\n",
       " 23           6.5            6.5           6.5\n",
       " 24           6.6            6.6           6.6\n",
       " 25           6.7            6.7           6.7\n",
       " 26           6.8            6.8           6.8\n",
       " 27           6.9            6.9           6.9\n",
       " 28           7.1            7.1           7.1\n",
       " 29           7.2            7.2           7.2\n",
       " 30           7.3            7.3           7.3\n",
       " 31           7.4            7.4           7.4\n",
       " 32           7.6            7.6           7.6\n",
       " 33           7.7            7.7           7.7\n",
       " 34           7.9            7.9           7.9\n",
       "\n",
       "[ByGroup1.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max     N  NMiss  Mean   Sum       Std  \\\n",
       " sepal_length                                                              \n",
       " 5             sepal_length  5.0  5.0  10.0    0.0  5.00  50.0  0.000000   \n",
       " 5              sepal_width  2.0  3.6  10.0    0.0  3.12  31.2  0.543241   \n",
       " 5             petal_length  1.2  3.5  10.0    0.0  1.84  18.4  0.834266   \n",
       " 5              petal_width  0.2  1.0  10.0    0.0  0.43   4.3  0.326769   \n",
       " \n",
       "                 StdErr       Var     USS    CSS         CV     TValue  \\\n",
       " sepal_length                                                            \n",
       " 5             0.000000  0.000000  250.00  0.000   0.000000        NaN   \n",
       " 5             0.171788  0.295111  100.00  2.656  17.411580  18.161922   \n",
       " 5             0.263818  0.696000   40.12  6.264  45.340551   6.974502   \n",
       " 5             0.103333  0.106778    2.81  0.961  75.992719   4.161290   \n",
       " \n",
       "                      ProbT  \n",
       " sepal_length                \n",
       " 5                      NaN  \n",
       " 5             2.121189e-08  \n",
       " 5             6.505533e-05  \n",
       " 5             2.443024e-03  \n",
       "\n",
       "[ByGroup2.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 6             sepal_length  6.0  6.0  6.0    0.0  6.000000  36.0  0.000000   \n",
       " 6              sepal_width  2.2  3.4  6.0    0.0  2.733333  16.4  0.471876   \n",
       " 6             petal_length  4.0  5.1  6.0    0.0  4.650000  27.9  0.403733   \n",
       " 6              petal_width  1.0  1.8  6.0    0.0  1.500000   9.0  0.268328   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 6             0.000000  0.000000  216.00  0.000000   0.000000        NaN   \n",
       " 6             0.192642  0.222667   45.94  1.113333  17.263745  14.188635   \n",
       " 6             0.164823  0.163000  130.55  0.815000   8.682421  28.212059   \n",
       " 6             0.109545  0.072000   13.86  0.360000  17.888544  13.693064   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 6                  NaN  \n",
       " 6             0.000031  \n",
       " 6             0.000001  \n",
       " 6             0.000037  \n",
       "\n",
       "[ByGroup3.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean  Sum  Std  StdErr  Var  \\\n",
       " sepal_length                                                                    \n",
       " 7             sepal_length  7.0  7.0  1.0    0.0   7.0  7.0  NaN     NaN  NaN   \n",
       " 7              sepal_width  3.2  3.2  1.0    0.0   3.2  3.2  NaN     NaN  NaN   \n",
       " 7             petal_length  4.7  4.7  1.0    0.0   4.7  4.7  NaN     NaN  NaN   \n",
       " 7              petal_width  1.4  1.4  1.0    0.0   1.4  1.4  NaN     NaN  NaN   \n",
       " \n",
       "                 USS  CSS  CV  TValue  ProbT  \n",
       " sepal_length                                 \n",
       " 7             49.00  0.0 NaN     NaN    NaN  \n",
       " 7             10.24  0.0 NaN     NaN    NaN  \n",
       " 7             22.09  0.0 NaN     NaN    NaN  \n",
       " 7              1.96  0.0 NaN     NaN    NaN  \n",
       "\n",
       "[ByGroup4.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean  Sum  Std  StdErr  Var  \\\n",
       " sepal_length                                                                    \n",
       " 4.3           sepal_length  4.3  4.3  1.0    0.0   4.3  4.3  NaN     NaN  NaN   \n",
       " 4.3            sepal_width  3.0  3.0  1.0    0.0   3.0  3.0  NaN     NaN  NaN   \n",
       " 4.3           petal_length  1.1  1.1  1.0    0.0   1.1  1.1  NaN     NaN  NaN   \n",
       " 4.3            petal_width  0.1  0.1  1.0    0.0   0.1  0.1  NaN     NaN  NaN   \n",
       " \n",
       "                 USS  CSS  CV  TValue  ProbT  \n",
       " sepal_length                                 \n",
       " 4.3           18.49  0.0 NaN     NaN    NaN  \n",
       " 4.3            9.00  0.0 NaN     NaN    NaN  \n",
       " 4.3            1.21  0.0 NaN     NaN    NaN  \n",
       " 4.3            0.01  0.0 NaN     NaN    NaN  \n",
       "\n",
       "[ByGroup5.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 4.4           sepal_length  4.4  4.4  3.0    0.0  4.400000  13.2  0.000000   \n",
       " 4.4            sepal_width  2.9  3.2  3.0    0.0  3.033333   9.1  0.152753   \n",
       " 4.4           petal_length  1.3  1.4  3.0    0.0  1.333333   4.0  0.057735   \n",
       " 4.4            petal_width  0.2  0.2  3.0    0.0  0.200000   0.6  0.000000   \n",
       " \n",
       "                 StdErr       Var    USS       CSS        CV     TValue  \\\n",
       " sepal_length                                                             \n",
       " 4.4           0.000000  0.000000  58.08  0.000000  0.000000        NaN   \n",
       " 4.4           0.088192  0.023333  27.65  0.046667  5.035797  34.394767   \n",
       " 4.4           0.033333  0.003333   5.34  0.006667  4.330127  40.000000   \n",
       " 4.4           0.000000  0.000000   0.12  0.000000  0.000000        NaN   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 4.4                NaN  \n",
       " 4.4           0.000844  \n",
       " 4.4           0.000624  \n",
       " 4.4                NaN  \n",
       "\n",
       "[ByGroup6.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean  Sum  Std  StdErr  Var  \\\n",
       " sepal_length                                                                    \n",
       " 4.5           sepal_length  4.5  4.5  1.0    0.0   4.5  4.5  NaN     NaN  NaN   \n",
       " 4.5            sepal_width  2.3  2.3  1.0    0.0   2.3  2.3  NaN     NaN  NaN   \n",
       " 4.5           petal_length  1.3  1.3  1.0    0.0   1.3  1.3  NaN     NaN  NaN   \n",
       " 4.5            petal_width  0.3  0.3  1.0    0.0   0.3  0.3  NaN     NaN  NaN   \n",
       " \n",
       "                 USS  CSS  CV  TValue  ProbT  \n",
       " sepal_length                                 \n",
       " 4.5           20.25  0.0 NaN     NaN    NaN  \n",
       " 4.5            5.29  0.0 NaN     NaN    NaN  \n",
       " 4.5            1.69  0.0 NaN     NaN    NaN  \n",
       " 4.5            0.09  0.0 NaN     NaN    NaN  \n",
       "\n",
       "[ByGroup7.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss   Mean   Sum       Std  \\\n",
       " sepal_length                                                              \n",
       " 4.6           sepal_length  4.6  4.6  4.0    0.0  4.600  18.4  0.000000   \n",
       " 4.6            sepal_width  3.1  3.6  4.0    0.0  3.325  13.3  0.221736   \n",
       " 4.6           petal_length  1.0  1.5  4.0    0.0  1.325   5.3  0.221736   \n",
       " 4.6            petal_width  0.2  0.3  4.0    0.0  0.225   0.9  0.050000   \n",
       " \n",
       "                 StdErr       Var    USS     CSS         CV     TValue  \\\n",
       " sepal_length                                                            \n",
       " 4.6           0.000000  0.000000  84.64  0.0000   0.000000        NaN   \n",
       " 4.6           0.110868  0.049167  44.37  0.1475   6.668739  29.990677   \n",
       " 4.6           0.110868  0.049167   7.17  0.1475  16.734761  11.951172   \n",
       " 4.6           0.025000  0.002500   0.21  0.0075  22.222222   9.000000   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 4.6                NaN  \n",
       " 4.6           0.000081  \n",
       " 4.6           0.001260  \n",
       " 4.6           0.002896  \n",
       "\n",
       "[ByGroup8.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean  Sum       Std  StdErr  \\\n",
       " sepal_length                                                                    \n",
       " 4.7           sepal_length  4.7  4.7  2.0    0.0  4.70  9.4  0.000000    0.00   \n",
       " 4.7            sepal_width  3.2  3.2  2.0    0.0  3.20  6.4  0.000000    0.00   \n",
       " 4.7           petal_length  1.3  1.6  2.0    0.0  1.45  2.9  0.212132    0.15   \n",
       " 4.7            petal_width  0.2  0.2  2.0    0.0  0.20  0.4  0.000000    0.00   \n",
       " \n",
       "                 Var    USS    CSS         CV    TValue     ProbT  \n",
       " sepal_length                                                      \n",
       " 4.7           0.000  44.18  0.000   0.000000       NaN       NaN  \n",
       " 4.7           0.000  20.48  0.000   0.000000       NaN       NaN  \n",
       " 4.7           0.045   4.25  0.045  14.629795  9.666667  0.065624  \n",
       " 4.7           0.000   0.08  0.000   0.000000       NaN       NaN  \n",
       "\n",
       "[ByGroup9.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean   Sum       Std  \\\n",
       " sepal_length                                                             \n",
       " 4.8           sepal_length  4.8  4.8  5.0    0.0  4.80  24.0  0.000000   \n",
       " 4.8            sepal_width  3.0  3.4  5.0    0.0  3.18  15.9  0.204939   \n",
       " 4.8           petal_length  1.4  1.9  5.0    0.0  1.58   7.9  0.204939   \n",
       " 4.8            petal_width  0.1  0.3  5.0    0.0  0.20   1.0  0.070711   \n",
       " \n",
       "                 StdErr    Var     USS    CSS         CV     TValue     ProbT  \n",
       " sepal_length                                                                  \n",
       " 4.8           0.000000  0.000  115.20  0.000   0.000000        NaN       NaN  \n",
       " 4.8           0.091652  0.042   50.73  0.168   6.444623  34.696645  0.000004  \n",
       " 4.8           0.091652  0.042   12.65  0.168  12.970824  17.239213  0.000066  \n",
       " 4.8           0.031623  0.005    0.22  0.020  35.355339   6.324555  0.003198  \n",
       "\n",
       "[ByGroup10.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 4.9           sepal_length  4.9  4.9  6.0    0.0  4.900000  29.4  0.000000   \n",
       " 4.9            sepal_width  2.4  3.1  6.0    0.0  2.866667  17.2  0.326599   \n",
       " 4.9           petal_length  1.4  4.5  6.0    0.0  2.283333  13.7  1.309071   \n",
       " 4.9            petal_width  0.1  1.7  6.0    0.0  0.533333   3.2  0.671317   \n",
       " \n",
       "                 StdErr       Var     USS       CSS          CV     TValue  \\\n",
       " sepal_length                                                                \n",
       " 4.9           0.000000  0.000000  144.06  0.000000    0.000000        NaN   \n",
       " 4.9           0.133333  0.106667   49.84  0.533333   11.392976  21.500000   \n",
       " 4.9           0.534426  1.713667   39.85  8.568333   57.331573   4.272497   \n",
       " 4.9           0.274064  0.450667    3.96  2.253333  125.871959   1.946017   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 4.9                NaN  \n",
       " 4.9           0.000004  \n",
       " 4.9           0.007920  \n",
       " 4.9           0.109226  \n",
       "\n",
       "[ByGroup11.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 5.1           sepal_length  5.1  5.1  9.0    0.0  5.100000  45.9  0.000000   \n",
       " 5.1            sepal_width  2.5  3.8  9.0    0.0  3.477778  31.3  0.411636   \n",
       " 5.1           petal_length  1.4  3.0  9.0    0.0  1.722222  15.5  0.504425   \n",
       " 5.1            petal_width  0.2  1.1  9.0    0.0  0.400000   3.6  0.282843   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 5.1           0.000000  0.000000  234.09  0.000000   0.000000        NaN   \n",
       " 5.1           0.137212  0.169444  110.21  1.355556  11.836188  25.345999   \n",
       " 5.1           0.168142  0.254444   28.73  2.035556  29.289186  10.242688   \n",
       " 5.1           0.094281  0.080000    2.08  0.640000  70.710678   4.242641   \n",
       " \n",
       "                      ProbT  \n",
       " sepal_length                \n",
       " 5.1                    NaN  \n",
       " 5.1           6.289140e-09  \n",
       " 5.1           7.094836e-06  \n",
       " 5.1           2.827299e-03  \n",
       "\n",
       "[ByGroup12.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss   Mean   Sum       Std  \\\n",
       " sepal_length                                                              \n",
       " 5.2           sepal_length  5.2  5.2  4.0    0.0  5.200  20.8  0.000000   \n",
       " 5.2            sepal_width  2.7  4.1  4.0    0.0  3.425  13.7  0.573730   \n",
       " 5.2           petal_length  1.4  3.9  4.0    0.0  2.075   8.3  1.217580   \n",
       " 5.2            petal_width  0.1  1.4  4.0    0.0  0.475   1.9  0.618466   \n",
       " \n",
       "                 StdErr       Var     USS     CSS          CV     TValue  \\\n",
       " sepal_length                                                              \n",
       " 5.2           0.000000  0.000000  108.16  0.0000    0.000000        NaN   \n",
       " 5.2           0.286865  0.329167   47.91  0.9875   16.751255  11.939404   \n",
       " 5.2           0.608790  1.482500   21.67  4.4475   58.678533   3.408401   \n",
       " 5.2           0.309233  0.382500    2.05  1.1475  130.203336   1.536059   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 5.2                NaN  \n",
       " 5.2           0.001264  \n",
       " 5.2           0.042200  \n",
       " 5.2           0.222105  \n",
       "\n",
       "[ByGroup13.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean  Sum  Std  StdErr  Var  \\\n",
       " sepal_length                                                                    \n",
       " 5.3           sepal_length  5.3  5.3  1.0    0.0   5.3  5.3  NaN     NaN  NaN   \n",
       " 5.3            sepal_width  3.7  3.7  1.0    0.0   3.7  3.7  NaN     NaN  NaN   \n",
       " 5.3           petal_length  1.5  1.5  1.0    0.0   1.5  1.5  NaN     NaN  NaN   \n",
       " 5.3            petal_width  0.2  0.2  1.0    0.0   0.2  0.2  NaN     NaN  NaN   \n",
       " \n",
       "                 USS  CSS  CV  TValue  ProbT  \n",
       " sepal_length                                 \n",
       " 5.3           28.09  0.0 NaN     NaN    NaN  \n",
       " 5.3           13.69  0.0 NaN     NaN    NaN  \n",
       " 5.3            2.25  0.0 NaN     NaN    NaN  \n",
       " 5.3            0.04  0.0 NaN     NaN    NaN  \n",
       "\n",
       "[ByGroup14.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 5.4           sepal_length  5.4  5.4  6.0    0.0  5.400000  32.4  0.000000   \n",
       " 5.4            sepal_width  3.0  3.9  6.0    0.0  3.550000  21.3  0.350714   \n",
       " 5.4           petal_length  1.3  4.5  6.0    0.0  2.033333  12.2  1.217648   \n",
       " 5.4            petal_width  0.2  1.5  6.0    0.0  0.516667   3.1  0.491596   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 5.4           0.000000  0.000000  174.96  0.000000   0.000000        NaN   \n",
       " 5.4           0.143178  0.123000   76.23  0.615000   9.879255  24.794275   \n",
       " 5.4           0.497103  1.482667   32.22  7.413333  59.884328   4.090369   \n",
       " 5.4           0.200693  0.241667    2.81  1.208333  95.147621   2.574410   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 5.4                NaN  \n",
       " 5.4           0.000002  \n",
       " 5.4           0.009443  \n",
       " 5.4           0.049768  \n",
       "\n",
       "[ByGroup15.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 5.5           sepal_length  5.5  5.5  7.0    0.0  5.500000  38.5  0.000000   \n",
       " 5.5            sepal_width  2.3  4.2  7.0    0.0  2.842857  19.9  0.723089   \n",
       " 5.5           petal_length  1.3  4.4  7.0    0.0  3.228571  22.6  1.302196   \n",
       " 5.5            petal_width  0.2  1.3  7.0    0.0  0.900000   6.3  0.489898   \n",
       " \n",
       "                 StdErr       Var     USS        CSS         CV     TValue  \\\n",
       " sepal_length                                                                \n",
       " 5.5           0.000000  0.000000  211.75   0.000000   0.000000        NaN   \n",
       " 5.5           0.273302  0.522857   59.71   3.137143  25.435278  10.401897   \n",
       " 5.5           0.492184  1.695714   83.14  10.174286  40.333503   6.559686   \n",
       " 5.5           0.185164  0.240000    7.11   1.440000  54.433105   4.860556   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 5.5                NaN  \n",
       " 5.5           0.000046  \n",
       " 5.5           0.000601  \n",
       " 5.5           0.002821  \n",
       "\n",
       "[ByGroup16.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 5.6           sepal_length  5.6  5.6  6.0    0.0  5.600000  33.6  0.000000   \n",
       " 5.6            sepal_width  2.5  3.0  6.0    0.0  2.816667  16.9  0.194079   \n",
       " 5.6           petal_length  3.6  4.9  6.0    0.0  4.200000  25.2  0.456070   \n",
       " 5.6            petal_width  1.1  2.0  6.0    0.0  1.416667   8.5  0.312517   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 5.6           0.000000  0.000000  188.16  0.000000   0.000000        NaN   \n",
       " 5.6           0.079232  0.037667   47.79  0.188333   6.890379  35.549417   \n",
       " 5.6           0.186190  0.208000  106.88  1.040000  10.858814  22.557619   \n",
       " 5.6           0.127584  0.097667   12.53  0.488333  22.060000  11.103761   \n",
       " \n",
       "                      ProbT  \n",
       " sepal_length                \n",
       " 5.6                    NaN  \n",
       " 5.6           3.314870e-07  \n",
       " 5.6           3.182265e-06  \n",
       " 5.6           1.032606e-04  \n",
       "\n",
       "[ByGroup17.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss    Mean   Sum       Std  \\\n",
       " sepal_length                                                               \n",
       " 5.7           sepal_length  5.7  5.7  8.0    0.0  5.7000  45.6  0.000000   \n",
       " 5.7            sepal_width  2.5  4.4  8.0    0.0  3.1000  24.8  0.656832   \n",
       " 5.7           petal_length  1.5  5.0  8.0    0.0  3.5875  28.7  1.296630   \n",
       " 5.7            petal_width  0.3  2.0  8.0    0.0  1.1000   8.8  0.545108   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 5.7           0.000000  0.000000  259.92   0.00000   0.000000        NaN   \n",
       " 5.7           0.232225  0.431429   79.90   3.02000  21.188136  13.349108   \n",
       " 5.7           0.458428  1.681250  114.73  11.76875  36.143003   7.825656   \n",
       " 5.7           0.192725  0.297143   11.76   2.08000  49.555283   5.707620   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 5.7                NaN  \n",
       " 5.7           0.000003  \n",
       " 5.7           0.000105  \n",
       " 5.7           0.000730  \n",
       "\n",
       "[ByGroup18.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 5.8           sepal_length  5.8  5.8  7.0    0.0  5.800000  40.6  0.000000   \n",
       " 5.8            sepal_width  2.6  4.0  7.0    0.0  2.885714  20.2  0.494734   \n",
       " 5.8           petal_length  1.2  5.1  7.0    0.0  4.071429  28.5  1.381683   \n",
       " 5.8            petal_width  0.2  2.4  7.0    0.0  1.400000   9.8  0.728011   \n",
       " \n",
       "                 StdErr       Var     USS        CSS         CV     TValue  \\\n",
       " sepal_length                                                                \n",
       " 5.8           0.000000  0.000000  235.48   0.000000   0.000000        NaN   \n",
       " 5.8           0.186992  0.244762   59.76   1.468571  17.144254  15.432292   \n",
       " 5.8           0.522227  1.909048  127.49  11.454286  33.936071   7.796281   \n",
       " 5.8           0.275162  0.530000   16.90   3.180000  52.000785   5.087906   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 5.8                NaN  \n",
       " 5.8           0.000005  \n",
       " 5.8           0.000235  \n",
       " 5.8           0.002248  \n",
       "\n",
       "[ByGroup19.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 5.9           sepal_length  5.9  5.9  3.0    0.0  5.900000  17.7  0.000000   \n",
       " 5.9            sepal_width  3.0  3.2  3.0    0.0  3.066667   9.2  0.115470   \n",
       " 5.9           petal_length  4.2  5.1  3.0    0.0  4.700000  14.1  0.458258   \n",
       " 5.9            petal_width  1.5  1.8  3.0    0.0  1.700000   5.1  0.173205   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV    TValue  \\\n",
       " sepal_length                                                              \n",
       " 5.9           0.000000  0.000000  104.43  0.000000   0.000000       NaN   \n",
       " 5.9           0.066667  0.013333   28.24  0.026667   3.765328  46.00000   \n",
       " 5.9           0.264575  0.210000   66.69  0.420000   9.750161  17.76433   \n",
       " 5.9           0.100000  0.030000    8.73  0.060000  10.188534  17.00000   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 5.9                NaN  \n",
       " 5.9           0.000472  \n",
       " 5.9           0.003154  \n",
       " 5.9           0.003442  \n",
       "\n",
       "[ByGroup20.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 6.1           sepal_length  6.1  6.1  6.0    0.0  6.100000  36.6  0.000000   \n",
       " 6.1            sepal_width  2.6  3.0  6.0    0.0  2.850000  17.1  0.151658   \n",
       " 6.1           petal_length  4.0  5.6  6.0    0.0  4.750000  28.5  0.516720   \n",
       " 6.1            petal_width  1.2  1.8  6.0    0.0  1.416667   8.5  0.204124   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 6.1           0.000000  0.000000  223.26  0.000000   0.000000        NaN   \n",
       " 6.1           0.061914  0.023000   48.85  0.115000   5.321316  46.031653   \n",
       " 6.1           0.210950  0.267000  136.71  1.335000  10.878325  22.517159   \n",
       " 6.1           0.083333  0.041667   12.25  0.208333  14.408763  17.000000   \n",
       " \n",
       "                      ProbT  \n",
       " sepal_length                \n",
       " 6.1                    NaN  \n",
       " 6.1           9.137503e-08  \n",
       " 6.1           3.210716e-06  \n",
       " 6.1           1.288522e-05  \n",
       "\n",
       "[ByGroup21.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss   Mean   Sum       Std  \\\n",
       " sepal_length                                                              \n",
       " 6.2           sepal_length  6.2  6.2  4.0    0.0  6.200  24.8  0.000000   \n",
       " 6.2            sepal_width  2.2  3.4  4.0    0.0  2.825  11.3  0.492443   \n",
       " 6.2           petal_length  4.3  5.4  4.0    0.0  4.750  19.0  0.479583   \n",
       " 6.2            petal_width  1.3  2.3  4.0    0.0  1.725   6.9  0.434933   \n",
       " \n",
       "                 StdErr       Var     USS     CSS         CV     TValue  \\\n",
       " sepal_length                                                             \n",
       " 6.2           0.000000  0.000000  153.76  0.0000   0.000000        NaN   \n",
       " 6.2           0.246221  0.242500   32.65  0.7275  17.431607  11.473412   \n",
       " 6.2           0.239792  0.230000   90.94  0.6900  10.096487  19.808869   \n",
       " 6.2           0.217466  0.189167   12.47  0.5675  25.213504   7.932257   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 6.2                NaN  \n",
       " 6.2           0.001421  \n",
       " 6.2           0.000281  \n",
       " 6.2           0.004178  \n",
       "\n",
       "[ByGroup22.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 6.3           sepal_length  6.3  6.3  9.0    0.0  6.300000  56.7  0.000000   \n",
       " 6.3            sepal_width  2.3  3.4  9.0    0.0  2.855556  25.7  0.400347   \n",
       " 6.3           petal_length  4.4  6.0  9.0    0.0  5.133333  46.2  0.504975   \n",
       " 6.3            petal_width  1.3  2.5  9.0    0.0  1.811111  16.3  0.407567   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 6.3           0.000000  0.000000  357.21  0.000000   0.000000        NaN   \n",
       " 6.3           0.133449  0.160278   74.67  1.282222  14.019936  21.398100   \n",
       " 6.3           0.168325  0.255000  239.20  2.040000   9.837180  30.496544   \n",
       " 6.3           0.135856  0.166111   30.85  1.328889  22.503716  13.331131   \n",
       " \n",
       "                      ProbT  \n",
       " sepal_length                \n",
       " 6.3                    NaN  \n",
       " 6.3           2.394042e-08  \n",
       " 6.3           1.451513e-09  \n",
       " 6.3           9.581107e-07  \n",
       "\n",
       "[ByGroup23.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 6.4           sepal_length  6.4  6.4  7.0    0.0  6.400000  44.8  0.000000   \n",
       " 6.4            sepal_width  2.7  3.2  7.0    0.0  2.957143  20.7  0.207020   \n",
       " 6.4           petal_length  4.3  5.6  7.0    0.0  5.157143  36.1  0.534968   \n",
       " 6.4            petal_width  1.3  2.3  7.0    0.0  1.871429  13.1  0.368394   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 6.4           0.000000  0.000000  286.72  0.000000   0.000000        NaN   \n",
       " 6.4           0.078246  0.042857   61.47  0.257143   7.000665  37.792856   \n",
       " 6.4           0.202199  0.286190  187.89  1.717143  10.373336  25.505309   \n",
       " 6.4           0.139240  0.135714   25.33  0.814286  19.685186  13.440316   \n",
       " \n",
       "                      ProbT  \n",
       " sepal_length                \n",
       " 6.4                    NaN  \n",
       " 6.4           2.291217e-08  \n",
       " 6.4           2.393604e-07  \n",
       " 6.4           1.050948e-05  \n",
       "\n",
       "[ByGroup24.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean   Sum       Std  \\\n",
       " sepal_length                                                             \n",
       " 6.5           sepal_length  6.5  6.5  5.0    0.0  6.50  32.5  0.000000   \n",
       " 6.5            sepal_width  2.8  3.2  5.0    0.0  3.00  15.0  0.141421   \n",
       " 6.5           petal_length  4.6  5.8  5.0    0.0  5.24  26.2  0.450555   \n",
       " 6.5            petal_width  1.5  2.2  5.0    0.0  1.90   9.5  0.264575   \n",
       " \n",
       "                 StdErr    Var     USS    CSS         CV     TValue     ProbT  \n",
       " sepal_length                                                                  \n",
       " 6.5           0.000000  0.000  211.25  0.000   0.000000        NaN       NaN  \n",
       " 6.5           0.063246  0.020   45.08  0.080   4.714045  47.434165  0.000001  \n",
       " 6.5           0.201494  0.203  138.10  0.812   8.598382  26.005683  0.000013  \n",
       " 6.5           0.118322  0.070   18.33  0.280  13.925007  16.057931  0.000088  \n",
       "\n",
       "[ByGroup25.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean   Sum       Std  \\\n",
       " sepal_length                                                             \n",
       " 6.6           sepal_length  6.6  6.6  2.0    0.0  6.60  13.2  0.000000   \n",
       " 6.6            sepal_width  2.9  3.0  2.0    0.0  2.95   5.9  0.070711   \n",
       " 6.6           petal_length  4.4  4.6  2.0    0.0  4.50   9.0  0.141421   \n",
       " 6.6            petal_width  1.3  1.4  2.0    0.0  1.35   2.7  0.070711   \n",
       " \n",
       "               StdErr    Var    USS    CSS        CV  TValue     ProbT  \n",
       " sepal_length                                                           \n",
       " 6.6             0.00  0.000  87.12  0.000  0.000000     NaN       NaN  \n",
       " 6.6             0.05  0.005  17.41  0.005  2.396972    59.0  0.010789  \n",
       " 6.6             0.10  0.020  40.52  0.020  3.142697    45.0  0.014145  \n",
       " 6.6             0.05  0.005   3.65  0.005  5.237828    27.0  0.023568  \n",
       "\n",
       "[ByGroup26.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss    Mean   Sum       Std  \\\n",
       " sepal_length                                                               \n",
       " 6.7           sepal_length  6.7  6.7  8.0    0.0  6.7000  53.6  0.000000   \n",
       " 6.7            sepal_width  2.5  3.3  8.0    0.0  3.0500  24.4  0.250713   \n",
       " 6.7           petal_length  4.4  5.8  8.0    0.0  5.2625  42.1  0.523552   \n",
       " 6.7            petal_width  1.4  2.5  8.0    0.0  1.9625  15.7  0.420671   \n",
       " \n",
       "                 StdErr       Var     USS      CSS         CV     TValue  \\\n",
       " sepal_length                                                              \n",
       " 6.7           0.000000  0.000000  359.12  0.00000   0.000000        NaN   \n",
       " 6.7           0.088641  0.062857   74.86  0.44000   8.220107  34.408641   \n",
       " 6.7           0.185104  0.274107  223.47  1.91875   9.948740  28.430004   \n",
       " 6.7           0.148730  0.176964   32.05  1.23875  21.435477  13.195074   \n",
       " \n",
       "                      ProbT  \n",
       " sepal_length                \n",
       " 6.7                    NaN  \n",
       " 6.7           4.540850e-09  \n",
       " 6.7           1.712713e-08  \n",
       " 6.7           3.354384e-06  \n",
       "\n",
       "[ByGroup27.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 6.8           sepal_length  6.8  6.8  3.0    0.0  6.800000  20.4  0.000000   \n",
       " 6.8            sepal_width  2.8  3.2  3.0    0.0  3.000000   9.0  0.200000   \n",
       " 6.8           petal_length  4.8  5.9  3.0    0.0  5.400000  16.2  0.556776   \n",
       " 6.8            petal_width  1.4  2.3  3.0    0.0  1.933333   5.8  0.472582   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 6.8           0.000000  0.000000  138.72  0.000000   0.000000        NaN   \n",
       " 6.8           0.115470  0.040000   27.08  0.080000   6.666667  25.980762   \n",
       " 6.8           0.321455  0.310000   88.10  0.620000  10.310675  16.798617   \n",
       " 6.8           0.272845  0.223333   11.66  0.446667  24.443874   7.085828   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 6.8                NaN  \n",
       " 6.8           0.001478  \n",
       " 6.8           0.003525  \n",
       " 6.8           0.019341  \n",
       "\n",
       "[ByGroup28.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss   Mean   Sum       Std  \\\n",
       " sepal_length                                                              \n",
       " 6.9           sepal_length  6.9  6.9  4.0    0.0  6.900  27.6  0.000000   \n",
       " 6.9            sepal_width  3.1  3.2  4.0    0.0  3.125  12.5  0.050000   \n",
       " 6.9           petal_length  4.9  5.7  4.0    0.0  5.275  21.1  0.350000   \n",
       " 6.9            petal_width  1.5  2.3  4.0    0.0  2.050   8.2  0.378594   \n",
       " \n",
       "                 StdErr       Var     USS     CSS         CV      TValue  \\\n",
       " sepal_length                                                              \n",
       " 6.9           0.000000  0.000000  190.44  0.0000   0.000000         NaN   \n",
       " 6.9           0.025000  0.002500   39.07  0.0075   1.600000  125.000000   \n",
       " 6.9           0.175000  0.122500  111.67  0.3675   6.635071   30.142857   \n",
       " 6.9           0.189297  0.143333   17.24  0.4300  18.467995   10.829546   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 6.9                NaN  \n",
       " 6.9           0.000001  \n",
       " 6.9           0.000080  \n",
       " 6.9           0.001684  \n",
       "\n",
       "[ByGroup29.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean  Sum  Std  StdErr  Var  \\\n",
       " sepal_length                                                                    \n",
       " 7.1           sepal_length  7.1  7.1  1.0    0.0   7.1  7.1  NaN     NaN  NaN   \n",
       " 7.1            sepal_width  3.0  3.0  1.0    0.0   3.0  3.0  NaN     NaN  NaN   \n",
       " 7.1           petal_length  5.9  5.9  1.0    0.0   5.9  5.9  NaN     NaN  NaN   \n",
       " 7.1            petal_width  2.1  2.1  1.0    0.0   2.1  2.1  NaN     NaN  NaN   \n",
       " \n",
       "                 USS  CSS  CV  TValue  ProbT  \n",
       " sepal_length                                 \n",
       " 7.1           50.41  0.0 NaN     NaN    NaN  \n",
       " 7.1            9.00  0.0 NaN     NaN    NaN  \n",
       " 7.1           34.81  0.0 NaN     NaN    NaN  \n",
       " 7.1            4.41  0.0 NaN     NaN    NaN  \n",
       "\n",
       "[ByGroup30.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                 \n",
       " 7.2           sepal_length  7.2  7.2  3.0    0.0  7.200000  21.6  0.000000   \n",
       " 7.2            sepal_width  3.0  3.6  3.0    0.0  3.266667   9.8  0.305505   \n",
       " 7.2           petal_length  5.8  6.1  3.0    0.0  5.966667  17.9  0.152753   \n",
       " 7.2            petal_width  1.6  2.5  3.0    0.0  1.966667   5.9  0.472582   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 7.2           0.000000  0.000000  155.52  0.000000   0.000000        NaN   \n",
       " 7.2           0.176383  0.093333   32.20  0.186667   9.352195  18.520259   \n",
       " 7.2           0.088192  0.023333  106.85  0.046667   2.560098  67.655641   \n",
       " 7.2           0.272845  0.223333   12.05  0.446667  24.029571   7.207997   \n",
       " \n",
       "                  ProbT  \n",
       " sepal_length            \n",
       " 7.2                NaN  \n",
       " 7.2           0.002903  \n",
       " 7.2           0.000218  \n",
       " 7.2           0.018709  \n",
       "\n",
       "[ByGroup31.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean  Sum  Std  StdErr  Var  \\\n",
       " sepal_length                                                                    \n",
       " 7.3           sepal_length  7.3  7.3  1.0    0.0   7.3  7.3  NaN     NaN  NaN   \n",
       " 7.3            sepal_width  2.9  2.9  1.0    0.0   2.9  2.9  NaN     NaN  NaN   \n",
       " 7.3           petal_length  6.3  6.3  1.0    0.0   6.3  6.3  NaN     NaN  NaN   \n",
       " 7.3            petal_width  1.8  1.8  1.0    0.0   1.8  1.8  NaN     NaN  NaN   \n",
       " \n",
       "                 USS  CSS  CV  TValue  ProbT  \n",
       " sepal_length                                 \n",
       " 7.3           53.29  0.0 NaN     NaN    NaN  \n",
       " 7.3            8.41  0.0 NaN     NaN    NaN  \n",
       " 7.3           39.69  0.0 NaN     NaN    NaN  \n",
       " 7.3            3.24  0.0 NaN     NaN    NaN  \n",
       "\n",
       "[ByGroup32.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean  Sum  Std  StdErr  Var  \\\n",
       " sepal_length                                                                    \n",
       " 7.4           sepal_length  7.4  7.4  1.0    0.0   7.4  7.4  NaN     NaN  NaN   \n",
       " 7.4            sepal_width  2.8  2.8  1.0    0.0   2.8  2.8  NaN     NaN  NaN   \n",
       " 7.4           petal_length  6.1  6.1  1.0    0.0   6.1  6.1  NaN     NaN  NaN   \n",
       " 7.4            petal_width  1.9  1.9  1.0    0.0   1.9  1.9  NaN     NaN  NaN   \n",
       " \n",
       "                 USS  CSS  CV  TValue  ProbT  \n",
       " sepal_length                                 \n",
       " 7.4           54.76  0.0 NaN     NaN    NaN  \n",
       " 7.4            7.84  0.0 NaN     NaN    NaN  \n",
       " 7.4           37.21  0.0 NaN     NaN    NaN  \n",
       " 7.4            3.61  0.0 NaN     NaN    NaN  \n",
       "\n",
       "[ByGroup33.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean  Sum  Std  StdErr  Var  \\\n",
       " sepal_length                                                                    \n",
       " 7.6           sepal_length  7.6  7.6  1.0    0.0   7.6  7.6  NaN     NaN  NaN   \n",
       " 7.6            sepal_width  3.0  3.0  1.0    0.0   3.0  3.0  NaN     NaN  NaN   \n",
       " 7.6           petal_length  6.6  6.6  1.0    0.0   6.6  6.6  NaN     NaN  NaN   \n",
       " 7.6            petal_width  2.1  2.1  1.0    0.0   2.1  2.1  NaN     NaN  NaN   \n",
       " \n",
       "                 USS  CSS  CV  TValue  ProbT  \n",
       " sepal_length                                 \n",
       " 7.6           57.76  0.0 NaN     NaN    NaN  \n",
       " 7.6            9.00  0.0 NaN     NaN    NaN  \n",
       " 7.6           43.56  0.0 NaN     NaN    NaN  \n",
       " 7.6            4.41  0.0 NaN     NaN    NaN  \n",
       "\n",
       "[ByGroup34.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean   Sum       Std  \\\n",
       " sepal_length                                                             \n",
       " 7.7           sepal_length  7.7  7.7  4.0    0.0  7.70  30.8  0.000000   \n",
       " 7.7            sepal_width  2.6  3.8  4.0    0.0  3.05  12.2  0.525991   \n",
       " 7.7           petal_length  6.1  6.9  4.0    0.0  6.60  26.4  0.346410   \n",
       " 7.7            petal_width  2.0  2.3  4.0    0.0  2.20   8.8  0.141421   \n",
       " \n",
       "                 StdErr       Var     USS   CSS         CV     TValue     ProbT  \n",
       " sepal_length                                                                    \n",
       " 7.7           0.000000  0.000000  237.16  0.00   0.000000        NaN       NaN  \n",
       " 7.7           0.262996  0.276667   38.04  0.83  17.245611  11.597154  0.001377  \n",
       " 7.7           0.173205  0.120000  174.60  0.36   5.248639  38.105118  0.000040  \n",
       " 7.7           0.070711  0.020000   19.42  0.06   6.428243  31.112698  0.000073  \n",
       "\n",
       "[ByGroup35.MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max    N  NMiss  Mean  Sum  Std  StdErr  Var  \\\n",
       " sepal_length                                                                    \n",
       " 7.9           sepal_length  7.9  7.9  1.0    0.0   7.9  7.9  NaN     NaN  NaN   \n",
       " 7.9            sepal_width  3.8  3.8  1.0    0.0   3.8  3.8  NaN     NaN  NaN   \n",
       " 7.9           petal_length  6.4  6.4  1.0    0.0   6.4  6.4  NaN     NaN  NaN   \n",
       " 7.9            petal_width  2.0  2.0  1.0    0.0   2.0  2.0  NaN     NaN  NaN   \n",
       " \n",
       "                 USS  CSS  CV  TValue  ProbT  \n",
       " sepal_length                                 \n",
       " 7.9           62.41  0.0 NaN     NaN    NaN  \n",
       " 7.9           14.44  0.0 NaN     NaN    NaN  \n",
       " 7.9           40.96  0.0 NaN     NaN    NaN  \n",
       " 7.9            4.00  0.0 NaN     NaN    NaN  \n",
       "\n"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grpmdsumm.get_set(1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div class=\"cas-results-key\"><b>&#167; MDSummary</b></div>\n",
       "<div class=\"cas-results-body\">\n",
       "<div>\n",
       "<table border=\"1\" class=\"dataframe\"><caption>Descriptive Statistics for DATA.IRIS</caption>\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"Analysis Variable\">Column</th>\n",
       "      <th title=\"Minimum\">Min</th>\n",
       "      <th title=\"Maximum\">Max</th>\n",
       "      <th title=\"N\">N</th>\n",
       "      <th title=\"N Miss\">NMiss</th>\n",
       "      <th title=\"Mean\">Mean</th>\n",
       "      <th title=\"Sum\">Sum</th>\n",
       "      <th title=\"Std Dev\">Std</th>\n",
       "      <th title=\"Std Error\">StdErr</th>\n",
       "      <th title=\"Variance\">Var</th>\n",
       "      <th title=\"USS\">USS</th>\n",
       "      <th title=\"Corrected SS\">CSS</th>\n",
       "      <th title=\"Coeff of Variation\">CV</th>\n",
       "      <th title=\"t Value\">TValue</th>\n",
       "      <th title=\"Pr &gt; |t|\">ProbT</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th title=\"sepal_length\">sepal_length</th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "      <th title=\"\"></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>5.0</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>250.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.120000</td>\n",
       "      <td>31.2</td>\n",
       "      <td>0.543241</td>\n",
       "      <td>0.171788</td>\n",
       "      <td>0.295111</td>\n",
       "      <td>100.00</td>\n",
       "      <td>2.656000</td>\n",
       "      <td>17.411580</td>\n",
       "      <td>18.161922</td>\n",
       "      <td>2.121189e-08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.2</td>\n",
       "      <td>3.5</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.840000</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.834266</td>\n",
       "      <td>0.263818</td>\n",
       "      <td>0.696000</td>\n",
       "      <td>40.12</td>\n",
       "      <td>6.264000</td>\n",
       "      <td>45.340551</td>\n",
       "      <td>6.974502</td>\n",
       "      <td>6.505533e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.430000</td>\n",
       "      <td>4.3</td>\n",
       "      <td>0.326769</td>\n",
       "      <td>0.103333</td>\n",
       "      <td>0.106778</td>\n",
       "      <td>2.81</td>\n",
       "      <td>0.961000</td>\n",
       "      <td>75.992719</td>\n",
       "      <td>4.161290</td>\n",
       "      <td>2.443024e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.000000</td>\n",
       "      <td>36.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>216.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.2</td>\n",
       "      <td>3.4</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.733333</td>\n",
       "      <td>16.4</td>\n",
       "      <td>0.471876</td>\n",
       "      <td>0.192642</td>\n",
       "      <td>0.222667</td>\n",
       "      <td>45.94</td>\n",
       "      <td>1.113333</td>\n",
       "      <td>17.263745</td>\n",
       "      <td>14.188635</td>\n",
       "      <td>3.131560e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.0</td>\n",
       "      <td>5.1</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.650000</td>\n",
       "      <td>27.9</td>\n",
       "      <td>0.403733</td>\n",
       "      <td>0.164823</td>\n",
       "      <td>0.163000</td>\n",
       "      <td>130.55</td>\n",
       "      <td>0.815000</td>\n",
       "      <td>8.682421</td>\n",
       "      <td>28.212059</td>\n",
       "      <td>1.047856e-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.8</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.500000</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.268328</td>\n",
       "      <td>0.109545</td>\n",
       "      <td>0.072000</td>\n",
       "      <td>13.86</td>\n",
       "      <td>0.360000</td>\n",
       "      <td>17.888544</td>\n",
       "      <td>13.693064</td>\n",
       "      <td>3.726479e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.0</td>\n",
       "      <td>7.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>7.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.200000</td>\n",
       "      <td>3.2</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>10.24</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.7</td>\n",
       "      <td>4.7</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.700000</td>\n",
       "      <td>4.7</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>22.09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.400000</td>\n",
       "      <td>1.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.96</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.3</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.3</td>\n",
       "      <td>4.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.300000</td>\n",
       "      <td>4.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>18.49</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.3</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.3</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.100000</td>\n",
       "      <td>1.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.21</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.3</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.1</td>\n",
       "      <td>0.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.100000</td>\n",
       "      <td>0.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.01</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.4</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.4</td>\n",
       "      <td>4.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.400000</td>\n",
       "      <td>13.2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>58.08</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.4</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.9</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.033333</td>\n",
       "      <td>9.1</td>\n",
       "      <td>0.152753</td>\n",
       "      <td>0.088192</td>\n",
       "      <td>0.023333</td>\n",
       "      <td>27.65</td>\n",
       "      <td>0.046667</td>\n",
       "      <td>5.035797</td>\n",
       "      <td>34.394767</td>\n",
       "      <td>8.442382e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.4</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.4</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.057735</td>\n",
       "      <td>0.033333</td>\n",
       "      <td>0.003333</td>\n",
       "      <td>5.34</td>\n",
       "      <td>0.006667</td>\n",
       "      <td>4.330127</td>\n",
       "      <td>40.000000</td>\n",
       "      <td>6.244147e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.4</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.200000</td>\n",
       "      <td>0.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.12</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.5</td>\n",
       "      <td>4.5</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.500000</td>\n",
       "      <td>4.5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.25</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.3</td>\n",
       "      <td>2.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.300000</td>\n",
       "      <td>2.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.29</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.300000</td>\n",
       "      <td>1.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.69</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.5</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.3</td>\n",
       "      <td>0.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.300000</td>\n",
       "      <td>0.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.09</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.6</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.600000</td>\n",
       "      <td>18.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>84.64</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.6</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.1</td>\n",
       "      <td>3.6</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.325000</td>\n",
       "      <td>13.3</td>\n",
       "      <td>0.221736</td>\n",
       "      <td>0.110868</td>\n",
       "      <td>0.049167</td>\n",
       "      <td>44.37</td>\n",
       "      <td>0.147500</td>\n",
       "      <td>6.668739</td>\n",
       "      <td>29.990677</td>\n",
       "      <td>8.142850e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.6</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.5</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.325000</td>\n",
       "      <td>5.3</td>\n",
       "      <td>0.221736</td>\n",
       "      <td>0.110868</td>\n",
       "      <td>0.049167</td>\n",
       "      <td>7.17</td>\n",
       "      <td>0.147500</td>\n",
       "      <td>16.734761</td>\n",
       "      <td>11.951172</td>\n",
       "      <td>1.260085e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.6</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>0.2</td>\n",
       "      <td>0.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.225000</td>\n",
       "      <td>0.9</td>\n",
       "      <td>0.050000</td>\n",
       "      <td>0.025000</td>\n",
       "      <td>0.002500</td>\n",
       "      <td>0.21</td>\n",
       "      <td>0.007500</td>\n",
       "      <td>22.222222</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>2.895812e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.7</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>4.7</td>\n",
       "      <td>4.7</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.700000</td>\n",
       "      <td>9.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>44.18</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4.7</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.2</td>\n",
       "      <td>3.2</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.200000</td>\n",
       "      <td>6.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>20.48</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.9</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>4.9</td>\n",
       "      <td>5.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.275000</td>\n",
       "      <td>21.1</td>\n",
       "      <td>0.350000</td>\n",
       "      <td>0.175000</td>\n",
       "      <td>0.122500</td>\n",
       "      <td>111.67</td>\n",
       "      <td>0.367500</td>\n",
       "      <td>6.635071</td>\n",
       "      <td>30.142857</td>\n",
       "      <td>8.020463e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6.9</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.5</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.050000</td>\n",
       "      <td>8.2</td>\n",
       "      <td>0.378594</td>\n",
       "      <td>0.189297</td>\n",
       "      <td>0.143333</td>\n",
       "      <td>17.24</td>\n",
       "      <td>0.430000</td>\n",
       "      <td>18.467995</td>\n",
       "      <td>10.829546</td>\n",
       "      <td>1.684484e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.1</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.1</td>\n",
       "      <td>7.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.100000</td>\n",
       "      <td>7.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>50.41</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.1</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.1</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>5.9</td>\n",
       "      <td>5.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.900000</td>\n",
       "      <td>5.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>34.81</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.1</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>2.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.41</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.2</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.2</td>\n",
       "      <td>7.2</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.200000</td>\n",
       "      <td>21.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>155.52</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.2</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.6</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.266667</td>\n",
       "      <td>9.8</td>\n",
       "      <td>0.305505</td>\n",
       "      <td>0.176383</td>\n",
       "      <td>0.093333</td>\n",
       "      <td>32.20</td>\n",
       "      <td>0.186667</td>\n",
       "      <td>9.352195</td>\n",
       "      <td>18.520259</td>\n",
       "      <td>2.902764e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.2</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>5.8</td>\n",
       "      <td>6.1</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.966667</td>\n",
       "      <td>17.9</td>\n",
       "      <td>0.152753</td>\n",
       "      <td>0.088192</td>\n",
       "      <td>0.023333</td>\n",
       "      <td>106.85</td>\n",
       "      <td>0.046667</td>\n",
       "      <td>2.560098</td>\n",
       "      <td>67.655641</td>\n",
       "      <td>2.183985e-04</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.2</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.6</td>\n",
       "      <td>2.5</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.966667</td>\n",
       "      <td>5.9</td>\n",
       "      <td>0.472582</td>\n",
       "      <td>0.272845</td>\n",
       "      <td>0.223333</td>\n",
       "      <td>12.05</td>\n",
       "      <td>0.446667</td>\n",
       "      <td>24.029571</td>\n",
       "      <td>7.207997</td>\n",
       "      <td>1.870890e-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.3</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.3</td>\n",
       "      <td>7.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.300000</td>\n",
       "      <td>7.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>53.29</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.3</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.9</td>\n",
       "      <td>2.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.900000</td>\n",
       "      <td>2.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>8.41</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.3</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>6.3</td>\n",
       "      <td>6.3</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.300000</td>\n",
       "      <td>6.3</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>39.69</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.3</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.800000</td>\n",
       "      <td>1.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.24</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.4</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.4</td>\n",
       "      <td>7.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.400000</td>\n",
       "      <td>7.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>54.76</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.4</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.8</td>\n",
       "      <td>2.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.800000</td>\n",
       "      <td>2.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.84</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.4</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>6.1</td>\n",
       "      <td>6.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.100000</td>\n",
       "      <td>6.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>37.21</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.4</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.900000</td>\n",
       "      <td>1.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.61</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.6</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.6</td>\n",
       "      <td>7.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.600000</td>\n",
       "      <td>7.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>57.76</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.6</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.0</td>\n",
       "      <td>3.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.6</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>6.6</td>\n",
       "      <td>6.6</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>6.6</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>43.56</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.6</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>2.1</td>\n",
       "      <td>2.1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.100000</td>\n",
       "      <td>2.1</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.41</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.7</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.7</td>\n",
       "      <td>7.7</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.700000</td>\n",
       "      <td>30.8</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>237.16</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.7</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>2.6</td>\n",
       "      <td>3.8</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.050000</td>\n",
       "      <td>12.2</td>\n",
       "      <td>0.525991</td>\n",
       "      <td>0.262996</td>\n",
       "      <td>0.276667</td>\n",
       "      <td>38.04</td>\n",
       "      <td>0.830000</td>\n",
       "      <td>17.245611</td>\n",
       "      <td>11.597154</td>\n",
       "      <td>1.376931e-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.7</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>6.1</td>\n",
       "      <td>6.9</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.600000</td>\n",
       "      <td>26.4</td>\n",
       "      <td>0.346410</td>\n",
       "      <td>0.173205</td>\n",
       "      <td>0.120000</td>\n",
       "      <td>174.60</td>\n",
       "      <td>0.360000</td>\n",
       "      <td>5.248639</td>\n",
       "      <td>38.105118</td>\n",
       "      <td>3.975988e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.7</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.3</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.200000</td>\n",
       "      <td>8.8</td>\n",
       "      <td>0.141421</td>\n",
       "      <td>0.070711</td>\n",
       "      <td>0.020000</td>\n",
       "      <td>19.42</td>\n",
       "      <td>0.060000</td>\n",
       "      <td>6.428243</td>\n",
       "      <td>31.112698</td>\n",
       "      <td>7.295330e-05</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.9</th>\n",
       "      <td>sepal_length</td>\n",
       "      <td>7.9</td>\n",
       "      <td>7.9</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.900000</td>\n",
       "      <td>7.9</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>62.41</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.9</th>\n",
       "      <td>sepal_width</td>\n",
       "      <td>3.8</td>\n",
       "      <td>3.8</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.800000</td>\n",
       "      <td>3.8</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>14.44</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.9</th>\n",
       "      <td>petal_length</td>\n",
       "      <td>6.4</td>\n",
       "      <td>6.4</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>6.400000</td>\n",
       "      <td>6.4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>40.96</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7.9</th>\n",
       "      <td>petal_width</td>\n",
       "      <td>2.0</td>\n",
       "      <td>2.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.00</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>140 rows × 15 columns</p>\n",
       "</div>\n",
       "</div>\n",
       "<div class=\"cas-output-area\"></div>"
      ],
      "text/plain": [
       "[MDSummary]\n",
       "\n",
       " Descriptive Statistics for DATA.IRIS\n",
       " \n",
       "                     Column  Min  Max     N  NMiss      Mean   Sum       Std  \\\n",
       " sepal_length                                                                  \n",
       " 5             sepal_length  5.0  5.0  10.0    0.0  5.000000  50.0  0.000000   \n",
       " 5              sepal_width  2.0  3.6  10.0    0.0  3.120000  31.2  0.543241   \n",
       " 5             petal_length  1.2  3.5  10.0    0.0  1.840000  18.4  0.834266   \n",
       " 5              petal_width  0.2  1.0  10.0    0.0  0.430000   4.3  0.326769   \n",
       " 6             sepal_length  6.0  6.0   6.0    0.0  6.000000  36.0  0.000000   \n",
       " 6              sepal_width  2.2  3.4   6.0    0.0  2.733333  16.4  0.471876   \n",
       " 6             petal_length  4.0  5.1   6.0    0.0  4.650000  27.9  0.403733   \n",
       " 6              petal_width  1.0  1.8   6.0    0.0  1.500000   9.0  0.268328   \n",
       " 7             sepal_length  7.0  7.0   1.0    0.0  7.000000   7.0       NaN   \n",
       " 7              sepal_width  3.2  3.2   1.0    0.0  3.200000   3.2       NaN   \n",
       " 7             petal_length  4.7  4.7   1.0    0.0  4.700000   4.7       NaN   \n",
       " 7              petal_width  1.4  1.4   1.0    0.0  1.400000   1.4       NaN   \n",
       " 4.3           sepal_length  4.3  4.3   1.0    0.0  4.300000   4.3       NaN   \n",
       " 4.3            sepal_width  3.0  3.0   1.0    0.0  3.000000   3.0       NaN   \n",
       " 4.3           petal_length  1.1  1.1   1.0    0.0  1.100000   1.1       NaN   \n",
       " 4.3            petal_width  0.1  0.1   1.0    0.0  0.100000   0.1       NaN   \n",
       " 4.4           sepal_length  4.4  4.4   3.0    0.0  4.400000  13.2  0.000000   \n",
       " 4.4            sepal_width  2.9  3.2   3.0    0.0  3.033333   9.1  0.152753   \n",
       " 4.4           petal_length  1.3  1.4   3.0    0.0  1.333333   4.0  0.057735   \n",
       " 4.4            petal_width  0.2  0.2   3.0    0.0  0.200000   0.6  0.000000   \n",
       " 4.5           sepal_length  4.5  4.5   1.0    0.0  4.500000   4.5       NaN   \n",
       " 4.5            sepal_width  2.3  2.3   1.0    0.0  2.300000   2.3       NaN   \n",
       " 4.5           petal_length  1.3  1.3   1.0    0.0  1.300000   1.3       NaN   \n",
       " 4.5            petal_width  0.3  0.3   1.0    0.0  0.300000   0.3       NaN   \n",
       " 4.6           sepal_length  4.6  4.6   4.0    0.0  4.600000  18.4  0.000000   \n",
       " 4.6            sepal_width  3.1  3.6   4.0    0.0  3.325000  13.3  0.221736   \n",
       " 4.6           petal_length  1.0  1.5   4.0    0.0  1.325000   5.3  0.221736   \n",
       " 4.6            petal_width  0.2  0.3   4.0    0.0  0.225000   0.9  0.050000   \n",
       " 4.7           sepal_length  4.7  4.7   2.0    0.0  4.700000   9.4  0.000000   \n",
       " 4.7            sepal_width  3.2  3.2   2.0    0.0  3.200000   6.4  0.000000   \n",
       " ...                    ...  ...  ...   ...    ...       ...   ...       ...   \n",
       " 6.9           petal_length  4.9  5.7   4.0    0.0  5.275000  21.1  0.350000   \n",
       " 6.9            petal_width  1.5  2.3   4.0    0.0  2.050000   8.2  0.378594   \n",
       " 7.1           sepal_length  7.1  7.1   1.0    0.0  7.100000   7.1       NaN   \n",
       " 7.1            sepal_width  3.0  3.0   1.0    0.0  3.000000   3.0       NaN   \n",
       " 7.1           petal_length  5.9  5.9   1.0    0.0  5.900000   5.9       NaN   \n",
       " 7.1            petal_width  2.1  2.1   1.0    0.0  2.100000   2.1       NaN   \n",
       " 7.2           sepal_length  7.2  7.2   3.0    0.0  7.200000  21.6  0.000000   \n",
       " 7.2            sepal_width  3.0  3.6   3.0    0.0  3.266667   9.8  0.305505   \n",
       " 7.2           petal_length  5.8  6.1   3.0    0.0  5.966667  17.9  0.152753   \n",
       " 7.2            petal_width  1.6  2.5   3.0    0.0  1.966667   5.9  0.472582   \n",
       " 7.3           sepal_length  7.3  7.3   1.0    0.0  7.300000   7.3       NaN   \n",
       " 7.3            sepal_width  2.9  2.9   1.0    0.0  2.900000   2.9       NaN   \n",
       " 7.3           petal_length  6.3  6.3   1.0    0.0  6.300000   6.3       NaN   \n",
       " 7.3            petal_width  1.8  1.8   1.0    0.0  1.800000   1.8       NaN   \n",
       " 7.4           sepal_length  7.4  7.4   1.0    0.0  7.400000   7.4       NaN   \n",
       " 7.4            sepal_width  2.8  2.8   1.0    0.0  2.800000   2.8       NaN   \n",
       " 7.4           petal_length  6.1  6.1   1.0    0.0  6.100000   6.1       NaN   \n",
       " 7.4            petal_width  1.9  1.9   1.0    0.0  1.900000   1.9       NaN   \n",
       " 7.6           sepal_length  7.6  7.6   1.0    0.0  7.600000   7.6       NaN   \n",
       " 7.6            sepal_width  3.0  3.0   1.0    0.0  3.000000   3.0       NaN   \n",
       " 7.6           petal_length  6.6  6.6   1.0    0.0  6.600000   6.6       NaN   \n",
       " 7.6            petal_width  2.1  2.1   1.0    0.0  2.100000   2.1       NaN   \n",
       " 7.7           sepal_length  7.7  7.7   4.0    0.0  7.700000  30.8  0.000000   \n",
       " 7.7            sepal_width  2.6  3.8   4.0    0.0  3.050000  12.2  0.525991   \n",
       " 7.7           petal_length  6.1  6.9   4.0    0.0  6.600000  26.4  0.346410   \n",
       " 7.7            petal_width  2.0  2.3   4.0    0.0  2.200000   8.8  0.141421   \n",
       " 7.9           sepal_length  7.9  7.9   1.0    0.0  7.900000   7.9       NaN   \n",
       " 7.9            sepal_width  3.8  3.8   1.0    0.0  3.800000   3.8       NaN   \n",
       " 7.9           petal_length  6.4  6.4   1.0    0.0  6.400000   6.4       NaN   \n",
       " 7.9            petal_width  2.0  2.0   1.0    0.0  2.000000   2.0       NaN   \n",
       " \n",
       "                 StdErr       Var     USS       CSS         CV     TValue  \\\n",
       " sepal_length                                                               \n",
       " 5             0.000000  0.000000  250.00  0.000000   0.000000        NaN   \n",
       " 5             0.171788  0.295111  100.00  2.656000  17.411580  18.161922   \n",
       " 5             0.263818  0.696000   40.12  6.264000  45.340551   6.974502   \n",
       " 5             0.103333  0.106778    2.81  0.961000  75.992719   4.161290   \n",
       " 6             0.000000  0.000000  216.00  0.000000   0.000000        NaN   \n",
       " 6             0.192642  0.222667   45.94  1.113333  17.263745  14.188635   \n",
       " 6             0.164823  0.163000  130.55  0.815000   8.682421  28.212059   \n",
       " 6             0.109545  0.072000   13.86  0.360000  17.888544  13.693064   \n",
       " 7                  NaN       NaN   49.00  0.000000        NaN        NaN   \n",
       " 7                  NaN       NaN   10.24  0.000000        NaN        NaN   \n",
       " 7                  NaN       NaN   22.09  0.000000        NaN        NaN   \n",
       " 7                  NaN       NaN    1.96  0.000000        NaN        NaN   \n",
       " 4.3                NaN       NaN   18.49  0.000000        NaN        NaN   \n",
       " 4.3                NaN       NaN    9.00  0.000000        NaN        NaN   \n",
       " 4.3                NaN       NaN    1.21  0.000000        NaN        NaN   \n",
       " 4.3                NaN       NaN    0.01  0.000000        NaN        NaN   \n",
       " 4.4           0.000000  0.000000   58.08  0.000000   0.000000        NaN   \n",
       " 4.4           0.088192  0.023333   27.65  0.046667   5.035797  34.394767   \n",
       " 4.4           0.033333  0.003333    5.34  0.006667   4.330127  40.000000   \n",
       " 4.4           0.000000  0.000000    0.12  0.000000   0.000000        NaN   \n",
       " 4.5                NaN       NaN   20.25  0.000000        NaN        NaN   \n",
       " 4.5                NaN       NaN    5.29  0.000000        NaN        NaN   \n",
       " 4.5                NaN       NaN    1.69  0.000000        NaN        NaN   \n",
       " 4.5                NaN       NaN    0.09  0.000000        NaN        NaN   \n",
       " 4.6           0.000000  0.000000   84.64  0.000000   0.000000        NaN   \n",
       " 4.6           0.110868  0.049167   44.37  0.147500   6.668739  29.990677   \n",
       " 4.6           0.110868  0.049167    7.17  0.147500  16.734761  11.951172   \n",
       " 4.6           0.025000  0.002500    0.21  0.007500  22.222222   9.000000   \n",
       " 4.7           0.000000  0.000000   44.18  0.000000   0.000000        NaN   \n",
       " 4.7           0.000000  0.000000   20.48  0.000000   0.000000        NaN   \n",
       " ...                ...       ...     ...       ...        ...        ...   \n",
       " 6.9           0.175000  0.122500  111.67  0.367500   6.635071  30.142857   \n",
       " 6.9           0.189297  0.143333   17.24  0.430000  18.467995  10.829546   \n",
       " 7.1                NaN       NaN   50.41  0.000000        NaN        NaN   \n",
       " 7.1                NaN       NaN    9.00  0.000000        NaN        NaN   \n",
       " 7.1                NaN       NaN   34.81  0.000000        NaN        NaN   \n",
       " 7.1                NaN       NaN    4.41  0.000000        NaN        NaN   \n",
       " 7.2           0.000000  0.000000  155.52  0.000000   0.000000        NaN   \n",
       " 7.2           0.176383  0.093333   32.20  0.186667   9.352195  18.520259   \n",
       " 7.2           0.088192  0.023333  106.85  0.046667   2.560098  67.655641   \n",
       " 7.2           0.272845  0.223333   12.05  0.446667  24.029571   7.207997   \n",
       " 7.3                NaN       NaN   53.29  0.000000        NaN        NaN   \n",
       " 7.3                NaN       NaN    8.41  0.000000        NaN        NaN   \n",
       " 7.3                NaN       NaN   39.69  0.000000        NaN        NaN   \n",
       " 7.3                NaN       NaN    3.24  0.000000        NaN        NaN   \n",
       " 7.4                NaN       NaN   54.76  0.000000        NaN        NaN   \n",
       " 7.4                NaN       NaN    7.84  0.000000        NaN        NaN   \n",
       " 7.4                NaN       NaN   37.21  0.000000        NaN        NaN   \n",
       " 7.4                NaN       NaN    3.61  0.000000        NaN        NaN   \n",
       " 7.6                NaN       NaN   57.76  0.000000        NaN        NaN   \n",
       " 7.6                NaN       NaN    9.00  0.000000        NaN        NaN   \n",
       " 7.6                NaN       NaN   43.56  0.000000        NaN        NaN   \n",
       " 7.6                NaN       NaN    4.41  0.000000        NaN        NaN   \n",
       " 7.7           0.000000  0.000000  237.16  0.000000   0.000000        NaN   \n",
       " 7.7           0.262996  0.276667   38.04  0.830000  17.245611  11.597154   \n",
       " 7.7           0.173205  0.120000  174.60  0.360000   5.248639  38.105118   \n",
       " 7.7           0.070711  0.020000   19.42  0.060000   6.428243  31.112698   \n",
       " 7.9                NaN       NaN   62.41  0.000000        NaN        NaN   \n",
       " 7.9                NaN       NaN   14.44  0.000000        NaN        NaN   \n",
       " 7.9                NaN       NaN   40.96  0.000000        NaN        NaN   \n",
       " 7.9                NaN       NaN    4.00  0.000000        NaN        NaN   \n",
       " \n",
       "                      ProbT  \n",
       " sepal_length                \n",
       " 5                      NaN  \n",
       " 5             2.121189e-08  \n",
       " 5             6.505533e-05  \n",
       " 5             2.443024e-03  \n",
       " 6                      NaN  \n",
       " 6             3.131560e-05  \n",
       " 6             1.047856e-06  \n",
       " 6             3.726479e-05  \n",
       " 7                      NaN  \n",
       " 7                      NaN  \n",
       " 7                      NaN  \n",
       " 7                      NaN  \n",
       " 4.3                    NaN  \n",
       " 4.3                    NaN  \n",
       " 4.3                    NaN  \n",
       " 4.3                    NaN  \n",
       " 4.4                    NaN  \n",
       " 4.4           8.442382e-04  \n",
       " 4.4           6.244147e-04  \n",
       " 4.4                    NaN  \n",
       " 4.5                    NaN  \n",
       " 4.5                    NaN  \n",
       " 4.5                    NaN  \n",
       " 4.5                    NaN  \n",
       " 4.6                    NaN  \n",
       " 4.6           8.142850e-05  \n",
       " 4.6           1.260085e-03  \n",
       " 4.6           2.895812e-03  \n",
       " 4.7                    NaN  \n",
       " 4.7                    NaN  \n",
       " ...                    ...  \n",
       " 6.9           8.020463e-05  \n",
       " 6.9           1.684484e-03  \n",
       " 7.1                    NaN  \n",
       " 7.1                    NaN  \n",
       " 7.1                    NaN  \n",
       " 7.1                    NaN  \n",
       " 7.2                    NaN  \n",
       " 7.2           2.902764e-03  \n",
       " 7.2           2.183985e-04  \n",
       " 7.2           1.870890e-02  \n",
       " 7.3                    NaN  \n",
       " 7.3                    NaN  \n",
       " 7.3                    NaN  \n",
       " 7.3                    NaN  \n",
       " 7.4                    NaN  \n",
       " 7.4                    NaN  \n",
       " 7.4                    NaN  \n",
       " 7.4                    NaN  \n",
       " 7.6                    NaN  \n",
       " 7.6                    NaN  \n",
       " 7.6                    NaN  \n",
       " 7.6                    NaN  \n",
       " 7.7                    NaN  \n",
       " 7.7           1.376931e-03  \n",
       " 7.7           3.975988e-05  \n",
       " 7.7           7.295330e-05  \n",
       " 7.9                    NaN  \n",
       " 7.9                    NaN  \n",
       " 7.9                    NaN  \n",
       " 7.9                    NaN  \n",
       " \n",
       " [140 rows x 15 columns]\n",
       "\n"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "grpmdsumm.get_set(1).concat_bygroups()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Close the Connection"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "conn.close()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.4.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}