diff --git a/atus_analysis.ipynb b/atus_analysis.ipynb
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+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import re\n",
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "summary = pd.read_csv(\"atusdata/atussum_2013/atussum_2013.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>tucaseid</th>\n",
+       "      <th>TUFINLWGT</th>\n",
+       "      <th>TRYHHCHILD</th>\n",
+       "      <th>TEAGE</th>\n",
+       "      <th>TESEX</th>\n",
+       "      <th>PEEDUCA</th>\n",
+       "      <th>PTDTRACE</th>\n",
+       "      <th>PEHSPNON</th>\n",
+       "      <th>GTMETSTA</th>\n",
+       "      <th>TELFS</th>\n",
+       "      <th>...</th>\n",
+       "      <th>t181501</th>\n",
+       "      <th>t181599</th>\n",
+       "      <th>t181601</th>\n",
+       "      <th>t181801</th>\n",
+       "      <th>t189999</th>\n",
+       "      <th>t500101</th>\n",
+       "      <th>t500103</th>\n",
+       "      <th>t500105</th>\n",
+       "      <th>t500106</th>\n",
+       "      <th>t500107</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>11899905.662034</td>\n",
+       "      <td>12</td>\n",
+       "      <td>22</td>\n",
+       "      <td>2</td>\n",
+       "      <td>40</td>\n",
+       "      <td>8</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>4447638.009513</td>\n",
+       "      <td>1</td>\n",
+       "      <td>39</td>\n",
+       "      <td>1</td>\n",
+       "      <td>43</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20130101130123</td>\n",
+       "      <td>10377056.507734</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>47</td>\n",
+       "      <td>2</td>\n",
+       "      <td>40</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>4</td>\n",
+       "      <td>...</td>\n",
+       "      <td>25</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20130101130611</td>\n",
+       "      <td>7731257.992805</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>50</td>\n",
+       "      <td>2</td>\n",
+       "      <td>40</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>20130101130616</td>\n",
+       "      <td>4725269.227067</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>45</td>\n",
+       "      <td>2</td>\n",
+       "      <td>40</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 413 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         tucaseid        TUFINLWGT  TRYHHCHILD  TEAGE  TESEX  PEEDUCA  \\\n",
+       "0  20130101130004  11899905.662034          12     22      2       40   \n",
+       "1  20130101130112   4447638.009513           1     39      1       43   \n",
+       "2  20130101130123  10377056.507734          -1     47      2       40   \n",
+       "3  20130101130611   7731257.992805          -1     50      2       40   \n",
+       "4  20130101130616   4725269.227067          -1     45      2       40   \n",
+       "\n",
+       "   PTDTRACE  PEHSPNON  GTMETSTA  TELFS   ...     t181501  t181599  t181601  \\\n",
+       "0         8         2         1      5   ...           0        0        0   \n",
+       "1         1         2         1      1   ...           0        0        0   \n",
+       "2         1         2         1      4   ...          25        0        0   \n",
+       "3         1         1         1      1   ...           0        0        0   \n",
+       "4         2         2         1      1   ...           0        0        0   \n",
+       "\n",
+       "   t181801  t189999  t500101  t500103  t500105  t500106  t500107  \n",
+       "0        0        0        0        0        0        0        0  \n",
+       "1        0        0        0        0        0        0        0  \n",
+       "2        0        0        0        0        0        0        0  \n",
+       "3        0        0        0        0        0        0        0  \n",
+       "4        0        0        0        0        0        0        0  \n",
+       "\n",
+       "[5 rows x 413 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "summary.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 11385 entries, 0 to 11384\n",
+      "Columns: 413 entries, tucaseid to t500107\n",
+      "dtypes: float64(1), int64(412)\n",
+      "memory usage: 36.0 MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "summary.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def average_minutes(data, activity_code):\n",
+    "    cols = activity_columns(data, activity_code)\n",
+    "    activity_data = data[cols]\n",
+    "    activity_sums = activity_data.sum(axis=1)\n",
+    "    data = data[['TUFINLWGT']]\n",
+    "    data['minutes'] = activity_sums\n",
+    "    data = data.rename(columns={\"TUFINLWGT\": \"weight\"})\n",
+    "    data['weighted_minutes'] = data.weight * data.minutes\n",
+    "    return (data.weighted_minutes.sum() / data.weight.sum())"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "def activity_columns(data, activity_code):\n",
+    "    \"\"\"For the activity code given, return all columns that fall under that activity.\"\"\"\n",
+    "    col_prefix = \"t{}\".format(activity_code)\n",
+    "    return [column for column in data.columns if re.match(col_prefix, column)]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "Pertinant Columns\n",
+    "* TUFINLWGT - statistical weight of respondent\n",
+    "* TEAGE - age of respondent\n",
+    "* TESEX - sex of respondent\n",
+    "* TELFS - working status of respondent\n",
+    "* TRCHILDNUM - number of children in household"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###Gender"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "male_crit = summary.TESEX == 1\n",
+    "female_crit = summary.TESEX == 2\n",
+    "male = summary[male_crit]\n",
+    "female = summary[female_crit]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###Employment Status"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "employed = summary.TELFS <= 2\n",
+    "unemployed = summary.TELFS >= 3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###Age groups"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "children_crit = summary.TEAGE < 18\n",
+    "adults_crit = summary.TEAGE >= 18\n",
+    "adults_18_35 = (summary.TEAGE >= 18) & (summary.TEAGE <= 35)\n",
+    "adults_36_50 = (summary.TEAGE > 35) & (summary.TEAGE <= 50)\n",
+    "adults_51_65 = (summary.TEAGE > 50) & (summary.TEAGE <= 65)\n",
+    "seniors_crit = (summary.TEAGE > 65)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###Number of Children in Household"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "#children_0_crit = summary.TRCHILDNUM == 0\n",
+    "#children_2_crit = summary.TRCHILDNUM == 2\n",
+    "#children_3more_crit = summary.TRCHILDNUM >= 3"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###Employed people in different age groups"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "employed_children = summary[employed & children_crit]\n",
+    "employed_adults = summary[employed & adults_crit]\n",
+    "employed_adults_18_35 = summary[employed & adults_18_35]\n",
+    "employed_adults_36_50 = summary[employed & adults_36_50]\n",
+    "employed_adults_51_65 = summary[employed & adults_51_65]\n",
+    "employed_seniors = summary[employed & seniors_crit]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###Unemployed people in different age groups"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "unemployed_children = summary[unemployed & children_crit]\n",
+    "unemployed_adults = summary[unemployed & adults_crit]\n",
+    "unemployed_adults_18_35 = summary[unemployed & adults_18_35]\n",
+    "unemployed_adults_36_50 = summary[unemployed & adults_36_50]\n",
+    "unemployed_adults_51_65 = summary[unemployed & adults_51_65]\n",
+    "unemployed_seniors = summary[unemployed & seniors_crit]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "###Employment status by gender"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "employed_male = summary[employed & male_crit]\n",
+    "unemployed_male = summary[unemployed & male_crit]\n",
+    "employed_female = summary[employed & female_crit]\n",
+    "unemployed_female = summary[unemployed & female_crit]"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##Average time spent on relaxation and leisure by different age groups and their employment status."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "employed_age_group = [employed_children, employed_adults_18_35, employed_adults_36_50, employed_adults_51_65, employed_seniors]\n",
+    "unemployed_age_group = [unemployed_children, unemployed_adults_18_35, unemployed_adults_36_50, unemployed_adults_51_65, unemployed_seniors]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "employed_leisure_time_per_day = []\n",
+    "unemployed_leisure_time_per_day = []\n",
+    "for i in range(len(employed_age_group)):\n",
+    "    employed_leisure_time = average_minutes(employed_age_group[i], \"1203\") / 60\n",
+    "    unemployed_leisure_time = average_minutes(unemployed_age_group[i], \"1203\") / 60\n",
+    "    employed_leisure_time_per_day.append(employed_leisure_time)\n",
+    "    unemployed_leisure_time_per_day.append(unemployed_leisure_time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "avg_emp_enj = sum(employed_leisure_time_per_day)/len(employed_leisure_time_per_day)\n",
+    "avg_unemp_enj = sum(unemployed_leisure_time_per_day)/len(unemployed_leisure_time_per_day)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "metadata": {
+    "collapsed": false,
+    "scrolled": true
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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jGJ//pKKcTjAy9wF3AVcBs1M1nr0Ib94PxeNdBCyVPkYqPw3YXV2/A3o7dvwn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\ngg==\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x107fb5048>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "label = [\"Below 18\", \"18-35\", \"36-50\", \"51-65\", \"65+\"]\n",
+    "emp_enjoying = pd.Series(employed_leisure_time_per_day, index=label)\n",
+    "unemp_enjoying = pd.Series(unemployed_leisure_time_per_day)\n",
+    "emp_enjoying.plot(color=\"green\", label=\"Employed\")\n",
+    "unemp_enjoying.plot(color=\"blue\", label=\"Unemployed\")\n",
+    "plt.title(\"Average time spent on relaxation and leisure per day\", fontsize=15)\n",
+    "plt.ylabel(\"Hours\")\n",
+    "plt.xlabel(\"Age Group\")\n",
+    "plt.ylim(ymin=2, ymax=12)\n",
+    "plt.hlines(avg_emp_enj, xmin=0, xmax= 4, color='blue', linestyles = \"dashed\", label = \"Average Employed - {:.2f}\".format(avg_emp_enj))\n",
+    "plt.hlines(avg_unemp_enj, xmin=0, xmax= 4, color='red', linestyles = \"dashed\", label = \"Average Unemployed - {:.2f}\".format(avg_unemp_enj))\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Average time spent on sleeping by gender and their employment status."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "male_group = [employed_male, unemployed_male]\n",
+    "female_group = [employed_female, unemployed_female]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "male_sleeping = []\n",
+    "female_sleeping = []\n",
+    "for i in range(len(male_group)):\n",
+    "    male_sleeping_time = average_minutes(male_group[i], \"010101\") / 60\n",
+    "    female_sleeping_time = average_minutes(female_group[i], \"010101\") / 60\n",
+    "    male_sleeping.append(male_sleeping_time)\n",
+    "    female_sleeping.append(female_sleeping_time)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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1rDt7E4xui6bbRXS2rwp1LFAz6x2JkcDWLP3i21nu6UN5ZeUdUYxhvWvfYNVZ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\n1YlbRhXJ1/xsSxF8diYtR3Q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+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x107fa04a8>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "lab = [\"Employed\", \"Unemployed\"]\n",
+    "ms = pd.Series(male_sleeping, index=lab)\n",
+    "fs = pd.Series(female_sleeping)\n",
+    "ms.plot(color=\"green\", label=\"Male\")\n",
+    "fs.plot(color=\"blue\", label=\"Female\")\n",
+    "plt.title(\"Average time spent sleeping by gender\", fontsize=15)\n",
+    "plt.ylabel(\"Hours\")\n",
+    "plt.xlabel(\"Working Status\")\n",
+    "plt.ylim(ymin=8, ymax=10)\n",
+    "plt.legend(loc=\"best\")\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##Average time spent per day on specific activities by gender."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 21,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "%%capture\n",
+    "male_laundry = average_minutes(male, \"020102\")\n",
+    "female_laundry = average_minutes(female, \"020102\")\n",
+    "male_sports = average_minutes(male, \"1301\")\n",
+    "female_sports = average_minutes(female, \"1301\")\n",
+    "male_eat_drink = average_minutes(male, \"110101\")\n",
+    "female_eat_drink = average_minutes(female, \"110101\")\n",
+    "male_religious = average_minutes(male, \"1401\")\n",
+    "female_religious = average_minutes(female, \"1401\")\n",
+    "male_studying = average_minutes(male, \"060101\")\n",
+    "female_studying = average_minutes(female, \"060101\")\n",
+    "male_reading = average_minutes(male, \"120312\")\n",
+    "female_reading = average_minutes(female, \"120312\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "men = [male_laundry, male_sports, male_eat_drink, male_religious, male_studying, male_reading]\n",
+    "women = [female_laundry, female_sports, female_eat_drink, female_religious,female_studying, female_reading]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "label = [\"Doing Laundry\", \"Sports\", \"Eating & Drinking\", \"Religious\", \"Studying\", \"Reading\"]\n",
+    "men_categories = pd.Series(men, index=label)\n",
+    "women_categories = pd.Series(women, index=label)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "men_women_df = pd.DataFrame(men_categories, index=label)\n",
+    "men_women_df.columns = [\"Men\"]\n",
+    "men_women_df[\"Women\"] = women_categories"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Men</th>\n",
+       "      <th>Women</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>Doing Laundry</th>\n",
+       "      <td>3.577602</td>\n",
+       "      <td>16.132770</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Sports</th>\n",
+       "      <td>23.917355</td>\n",
+       "      <td>12.148622</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Eating &amp; Drinking</th>\n",
+       "      <td>68.508580</td>\n",
+       "      <td>64.997007</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Religious</th>\n",
+       "      <td>7.223202</td>\n",
+       "      <td>10.002557</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Studying</th>\n",
+       "      <td>15.567393</td>\n",
+       "      <td>14.136000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Reading</th>\n",
+       "      <td>15.490346</td>\n",
+       "      <td>22.873709</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                         Men      Women\n",
+       "Doing Laundry       3.577602  16.132770\n",
+       "Sports             23.917355  12.148622\n",
+       "Eating & Drinking  68.508580  64.997007\n",
+       "Religious           7.223202  10.002557\n",
+       "Studying           15.567393  14.136000\n",
+       "Reading            15.490346  22.873709"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "men_women_df"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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CiyJiB+DEnG5cRJzcdB4GqfTylaz0befylafWQCLpgcCzgKOBTufP/sDC/Hgh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\nAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<matplotlib.figure.Figure at 0x109042438>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "men_women_df.plot(kind=\"bar\")\n",
+    "plt.title(\"Average time spent per day on activities by gender\", fontsize=15)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "##Merge data"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "activities = pd.read_csv(\"atusdata/atusact_2013/atusact_2013.dat\")\n",
+    "respondent = pd.read_csv(\"atusdata/atusresp_2013/atusresp_2013.dat\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 28,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>TUCASEID</th>\n",
+       "      <th>TUACTIVITY_N</th>\n",
+       "      <th>TEWHERE</th>\n",
+       "      <th>TRTCCTOT_LN</th>\n",
+       "      <th>TRTCC_LN</th>\n",
+       "      <th>TRTCOC_LN</th>\n",
+       "      <th>TRTEC_LN</th>\n",
+       "      <th>TRTHH_LN</th>\n",
+       "      <th>TRTNOHH_LN</th>\n",
+       "      <th>TRTOHH_LN</th>\n",
+       "      <th>...</th>\n",
+       "      <th>TUDURSTOP</th>\n",
+       "      <th>TUEC24</th>\n",
+       "      <th>TUSTARTTIM</th>\n",
+       "      <th>TUSTOPTIME</th>\n",
+       "      <th>TUTIER1CODE</th>\n",
+       "      <th>TUTIER2CODE</th>\n",
+       "      <th>TUTIER3CODE</th>\n",
+       "      <th>TRCODE</th>\n",
+       "      <th>TRTIER2</th>\n",
+       "      <th>TXWHERE</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>04:00:00</td>\n",
+       "      <td>12:00:00</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>10101</td>\n",
+       "      <td>101</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>12:00:00</td>\n",
+       "      <td>12:05:00</td>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>110101</td>\n",
+       "      <td>1101</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>120</td>\n",
+       "      <td>120</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>120</td>\n",
+       "      <td>120</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>12:05:00</td>\n",
+       "      <td>14:05:00</td>\n",
+       "      <td>12</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3</td>\n",
+       "      <td>120303</td>\n",
+       "      <td>1203</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>14:05:00</td>\n",
+       "      <td>19:00:00</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>60301</td>\n",
+       "      <td>603</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>30</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>30</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>19:00:00</td>\n",
+       "      <td>19:30:00</td>\n",
+       "      <td>11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "      <td>110101</td>\n",
+       "      <td>1101</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 31 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         TUCASEID  TUACTIVITY_N  TEWHERE  TRTCCTOT_LN  TRTCC_LN  TRTCOC_LN  \\\n",
+       "0  20130101130004             1       -1            0         0          0   \n",
+       "1  20130101130004             2        1            5         5          0   \n",
+       "2  20130101130004             3        1          120       120          0   \n",
+       "3  20130101130004             4        1            0         0          0   \n",
+       "4  20130101130004             5        1           30        30          0   \n",
+       "\n",
+       "   TRTEC_LN  TRTHH_LN  TRTNOHH_LN  TRTOHH_LN   ...     TUDURSTOP  TUEC24  \\\n",
+       "0        -1         0           0         -1   ...             2      -1   \n",
+       "1        -1         5           5         -1   ...             1      -1   \n",
+       "2        -1       120         120         -1   ...             1      -1   \n",
+       "3        -1         0           0         -1   ...             2      -1   \n",
+       "4        -1        30          30         -1   ...             1      -1   \n",
+       "\n",
+       "   TUSTARTTIM  TUSTOPTIME  TUTIER1CODE  TUTIER2CODE  TUTIER3CODE  TRCODE  \\\n",
+       "0    04:00:00    12:00:00            1            1            1   10101   \n",
+       "1    12:00:00    12:05:00           11            1            1  110101   \n",
+       "2    12:05:00    14:05:00           12            3            3  120303   \n",
+       "3    14:05:00    19:00:00            6            3            1   60301   \n",
+       "4    19:00:00    19:30:00           11            1            1  110101   \n",
+       "\n",
+       "   TRTIER2  TXWHERE  \n",
+       "0      101        0  \n",
+       "1     1101        0  \n",
+       "2     1203        0  \n",
+       "3      603        0  \n",
+       "4     1101        0  \n",
+       "\n",
+       "[5 rows x 31 columns]"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "activities.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 29,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>TUCASEID</th>\n",
+       "      <th>TULINENO</th>\n",
+       "      <th>TUYEAR</th>\n",
+       "      <th>TUMONTH</th>\n",
+       "      <th>TEABSRSN</th>\n",
+       "      <th>TEERN</th>\n",
+       "      <th>TEERNH1O</th>\n",
+       "      <th>TEERNH2</th>\n",
+       "      <th>TEERNHRO</th>\n",
+       "      <th>TEERNHRY</th>\n",
+       "      <th>...</th>\n",
+       "      <th>TXSPEMPNOT</th>\n",
+       "      <th>TXSPUHRS</th>\n",
+       "      <th>TXTCC</th>\n",
+       "      <th>TXTCCTOT</th>\n",
+       "      <th>TXTCOC</th>\n",
+       "      <th>TXTHH</th>\n",
+       "      <th>TXTNOHH</th>\n",
+       "      <th>TXTO</th>\n",
+       "      <th>TXTOHH</th>\n",
+       "      <th>TXTONHH</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2013</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2013</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20130101130123</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2013</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20130101130611</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2013</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>20130101130616</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2013</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>2</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 175 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         TUCASEID  TULINENO  TUYEAR  TUMONTH  TEABSRSN  TEERN  TEERNH1O  \\\n",
+       "0  20130101130004         1    2013        1        -1     -1        -1   \n",
+       "1  20130101130112         1    2013        1        -1     -1        -1   \n",
+       "2  20130101130123         1    2013        1        -1     -1        -1   \n",
+       "3  20130101130611         1    2013        1        -1     -1        -1   \n",
+       "4  20130101130616         1    2013        1        -1     -1        -1   \n",
+       "\n",
+       "   TEERNH2  TEERNHRO  TEERNHRY   ...     TXSPEMPNOT  TXSPUHRS  TXTCC  \\\n",
+       "0       -1        -1        -1   ...             -1        -1      0   \n",
+       "1       -1        -1         2   ...              0         0      0   \n",
+       "2       -1        -1        -1   ...              0         0     -1   \n",
+       "3       -1        -1         2   ...             -1        -1     -1   \n",
+       "4       -1        -1         2   ...             -1        -1     -1   \n",
+       "\n",
+       "   TXTCCTOT  TXTCOC  TXTHH  TXTNOHH  TXTO  TXTOHH  TXTONHH  \n",
+       "0         0       0      0        0    -1      -1       -1  \n",
+       "1         0       0      0       -1     0       0       -1  \n",
+       "2         0       0     -1       -1    -1      -1       -1  \n",
+       "3         0       0     -1       -1    -1      -1       -1  \n",
+       "4         0       0     -1       -1    -1      -1       -1  \n",
+       "\n",
+       "[5 rows x 175 columns]"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "respondent.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {
+    "collapsed": true
+   },
+   "outputs": [],
+   "source": [
+    "data = pd.merge(activities, respondent)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>TUCASEID</th>\n",
+       "      <th>TUACTIVITY_N</th>\n",
+       "      <th>TEWHERE</th>\n",
+       "      <th>TRTCCTOT_LN</th>\n",
+       "      <th>TRTCC_LN</th>\n",
+       "      <th>TRTCOC_LN</th>\n",
+       "      <th>TRTEC_LN</th>\n",
+       "      <th>TRTHH_LN</th>\n",
+       "      <th>TRTNOHH_LN</th>\n",
+       "      <th>TRTOHH_LN</th>\n",
+       "      <th>...</th>\n",
+       "      <th>TXSPEMPNOT</th>\n",
+       "      <th>TXSPUHRS</th>\n",
+       "      <th>TXTCC</th>\n",
+       "      <th>TXTCCTOT</th>\n",
+       "      <th>TXTCOC</th>\n",
+       "      <th>TXTHH</th>\n",
+       "      <th>TXTNOHH</th>\n",
+       "      <th>TXTO</th>\n",
+       "      <th>TXTOHH</th>\n",
+       "      <th>TXTONHH</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>5</td>\n",
+       "      <td>5</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>3</td>\n",
+       "      <td>1</td>\n",
+       "      <td>120</td>\n",
+       "      <td>120</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>120</td>\n",
+       "      <td>120</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>4</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>5</td>\n",
+       "      <td>1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>30</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>30</td>\n",
+       "      <td>30</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>...</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 205 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         TUCASEID  TUACTIVITY_N  TEWHERE  TRTCCTOT_LN  TRTCC_LN  TRTCOC_LN  \\\n",
+       "0  20130101130004             1       -1            0         0          0   \n",
+       "1  20130101130004             2        1            5         5          0   \n",
+       "2  20130101130004             3        1          120       120          0   \n",
+       "3  20130101130004             4        1            0         0          0   \n",
+       "4  20130101130004             5        1           30        30          0   \n",
+       "\n",
+       "   TRTEC_LN  TRTHH_LN  TRTNOHH_LN  TRTOHH_LN   ...     TXSPEMPNOT  TXSPUHRS  \\\n",
+       "0        -1         0           0         -1   ...             -1        -1   \n",
+       "1        -1         5           5         -1   ...             -1        -1   \n",
+       "2        -1       120         120         -1   ...             -1        -1   \n",
+       "3        -1         0           0         -1   ...             -1        -1   \n",
+       "4        -1        30          30         -1   ...             -1        -1   \n",
+       "\n",
+       "   TXTCC  TXTCCTOT  TXTCOC  TXTHH  TXTNOHH  TXTO  TXTOHH  TXTONHH  \n",
+       "0      0         0       0      0        0    -1      -1       -1  \n",
+       "1      0         0       0      0        0    -1      -1       -1  \n",
+       "2      0         0       0      0        0    -1      -1       -1  \n",
+       "3      0         0       0      0        0    -1      -1       -1  \n",
+       "4      0         0       0      0        0    -1      -1       -1  \n",
+       "\n",
+       "[5 rows x 205 columns]"
+      ]
+     },
+     "execution_count": 31,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [],
+   "source": [
+    "data = data[['TUCASEID', 'TRCODE','TESCHENR', 'TESPEMPNOT', 'TRCHILDNUM']]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "metadata": {
+    "collapsed": false
+   },
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>TUCASEID</th>\n",
+       "      <th>TRCODE</th>\n",
+       "      <th>TESCHENR</th>\n",
+       "      <th>TESPEMPNOT</th>\n",
+       "      <th>TRCHILDNUM</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>10101</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>110101</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>120303</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>60301</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>110101</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>30201</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>120303</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>10201</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>60301</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>20130101130004</td>\n",
+       "      <td>10101</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>10101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>20903</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>120312</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>30103</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>20201</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>110101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>30101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>10201</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>30103</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>180701</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>20</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>70101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>21</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>180701</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>22</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>20902</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>23</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>20201</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>24</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>30101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>30103</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>26</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>20201</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>27</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>30101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>28</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>30103</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>29</th>\n",
+       "      <td>20130101130112</td>\n",
+       "      <td>180703</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215546</th>\n",
+       "      <td>20131212132475</td>\n",
+       "      <td>110101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215547</th>\n",
+       "      <td>20131212132475</td>\n",
+       "      <td>500101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215548</th>\n",
+       "      <td>20131212132475</td>\n",
+       "      <td>120303</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215549</th>\n",
+       "      <td>20131212132475</td>\n",
+       "      <td>10101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215550</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>110101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215551</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>120303</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215552</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>30101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215553</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>120303</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215554</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>120301</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215555</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>20201</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215556</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>110101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215557</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>120101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215558</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>10201</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215559</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>180305</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215560</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>30504</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215561</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>180802</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215562</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>80201</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215563</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>180207</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215564</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>20701</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215565</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>189999</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215566</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>500101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215567</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>189999</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215568</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>30101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215569</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>20101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215570</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>20102</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215571</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>20201</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215572</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>110101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215573</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>120303</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215574</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>30101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>215575</th>\n",
+       "      <td>20131212132488</td>\n",
+       "      <td>10101</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>215576 rows × 5 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "              TUCASEID  TRCODE  TESCHENR  TESPEMPNOT  TRCHILDNUM\n",
+       "0       20130101130004   10101         1          -1           3\n",
+       "1       20130101130004  110101         1          -1           3\n",
+       "2       20130101130004  120303         1          -1           3\n",
+       "3       20130101130004   60301         1          -1           3\n",
+       "4       20130101130004  110101         1          -1           3\n",
+       "5       20130101130004   30201         1          -1           3\n",
+       "6       20130101130004  120303         1          -1           3\n",
+       "7       20130101130004   10201         1          -1           3\n",
+       "8       20130101130004   60301         1          -1           3\n",
+       "9       20130101130004   10101         1          -1           3\n",
+       "10      20130101130112   10101         2           1           1\n",
+       "11      20130101130112   20903         2           1           1\n",
+       "12      20130101130112  120312         2           1           1\n",
+       "13      20130101130112   30103         2           1           1\n",
+       "14      20130101130112   20201         2           1           1\n",
+       "15      20130101130112  110101         2           1           1\n",
+       "16      20130101130112   30101         2           1           1\n",
+       "17      20130101130112   10201         2           1           1\n",
+       "18      20130101130112   30103         2           1           1\n",
+       "19      20130101130112  180701         2           1           1\n",
+       "20      20130101130112   70101         2           1           1\n",
+       "21      20130101130112  180701         2           1           1\n",
+       "22      20130101130112   20902         2           1           1\n",
+       "23      20130101130112   20201         2           1           1\n",
+       "24      20130101130112   30101         2           1           1\n",
+       "25      20130101130112   30103         2           1           1\n",
+       "26      20130101130112   20201         2           1           1\n",
+       "27      20130101130112   30101         2           1           1\n",
+       "28      20130101130112   30103         2           1           1\n",
+       "29      20130101130112  180703         2           1           1\n",
+       "...                ...     ...       ...         ...         ...\n",
+       "215546  20131212132475  110101         2           1           1\n",
+       "215547  20131212132475  500101         2           1           1\n",
+       "215548  20131212132475  120303         2           1           1\n",
+       "215549  20131212132475   10101         2           1           1\n",
+       "215550  20131212132488  110101         2           2           2\n",
+       "215551  20131212132488  120303         2           2           2\n",
+       "215552  20131212132488   30101         2           2           2\n",
+       "215553  20131212132488  120303         2           2           2\n",
+       "215554  20131212132488  120301         2           2           2\n",
+       "215555  20131212132488   20201         2           2           2\n",
+       "215556  20131212132488  110101         2           2           2\n",
+       "215557  20131212132488  120101         2           2           2\n",
+       "215558  20131212132488   10201         2           2           2\n",
+       "215559  20131212132488  180305         2           2           2\n",
+       "215560  20131212132488   30504         2           2           2\n",
+       "215561  20131212132488  180802         2           2           2\n",
+       "215562  20131212132488   80201         2           2           2\n",
+       "215563  20131212132488  180207         2           2           2\n",
+       "215564  20131212132488   20701         2           2           2\n",
+       "215565  20131212132488  189999         2           2           2\n",
+       "215566  20131212132488  500101         2           2           2\n",
+       "215567  20131212132488  189999         2           2           2\n",
+       "215568  20131212132488   30101         2           2           2\n",
+       "215569  20131212132488   20101         2           2           2\n",
+       "215570  20131212132488   20102         2           2           2\n",
+       "215571  20131212132488   20201         2           2           2\n",
+       "215572  20131212132488  110101         2           2           2\n",
+       "215573  20131212132488  120303         2           2           2\n",
+       "215574  20131212132488   30101         2           2           2\n",
+       "215575  20131212132488   10101         2           2           2\n",
+       "\n",
+       "[215576 rows x 5 columns]"
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "data"
+   ]
+  },
+  {
+   "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
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+}