eda.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np # linear algebra\n",
    "import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "df=pd.read_csv('card_transdata.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>distance_from_home</th>\n",
       "      <th>distance_from_last_transaction</th>\n",
       "      <th>ratio_to_median_purchase_price</th>\n",
       "      <th>repeat_retailer</th>\n",
       "      <th>used_chip</th>\n",
       "      <th>used_pin_number</th>\n",
       "      <th>online_order</th>\n",
       "      <th>fraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>57.877857</td>\n",
       "      <td>0.311140</td>\n",
       "      <td>1.945940</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>10.829943</td>\n",
       "      <td>0.175592</td>\n",
       "      <td>1.294219</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>5.091079</td>\n",
       "      <td>0.805153</td>\n",
       "      <td>0.427715</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2.247564</td>\n",
       "      <td>5.600044</td>\n",
       "      <td>0.362663</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>44.190936</td>\n",
       "      <td>0.566486</td>\n",
       "      <td>2.222767</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   distance_from_home  distance_from_last_transaction  \\\n",
       "0           57.877857                        0.311140   \n",
       "1           10.829943                        0.175592   \n",
       "2            5.091079                        0.805153   \n",
       "3            2.247564                        5.600044   \n",
       "4           44.190936                        0.566486   \n",
       "\n",
       "   ratio_to_median_purchase_price  repeat_retailer  used_chip  \\\n",
       "0                        1.945940              1.0        1.0   \n",
       "1                        1.294219              1.0        0.0   \n",
       "2                        0.427715              1.0        0.0   \n",
       "3                        0.362663              1.0        1.0   \n",
       "4                        2.222767              1.0        1.0   \n",
       "\n",
       "   used_pin_number  online_order  fraud  \n",
       "0              0.0           0.0    0.0  \n",
       "1              0.0           0.0    0.0  \n",
       "2              0.0           1.0    0.0  \n",
       "3              0.0           1.0    0.0  \n",
       "4              0.0           1.0    0.0  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000000, 8)"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 1000000 entries, 0 to 999999\n",
      "Data columns (total 8 columns):\n",
      " #   Column                          Non-Null Count    Dtype  \n",
      "---  ------                          --------------    -----  \n",
      " 0   distance_from_home              1000000 non-null  float64\n",
      " 1   distance_from_last_transaction  1000000 non-null  float64\n",
      " 2   ratio_to_median_purchase_price  1000000 non-null  float64\n",
      " 3   repeat_retailer                 1000000 non-null  float64\n",
      " 4   used_chip                       1000000 non-null  float64\n",
      " 5   used_pin_number                 1000000 non-null  float64\n",
      " 6   online_order                    1000000 non-null  float64\n",
      " 7   fraud                           1000000 non-null  float64\n",
      "dtypes: float64(8)\n",
      "memory usage: 61.0 MB\n"
     ]
    }
   ],
   "source": [
    "df.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>distance_from_home</th>\n",
       "      <th>distance_from_last_transaction</th>\n",
       "      <th>ratio_to_median_purchase_price</th>\n",
       "      <th>repeat_retailer</th>\n",
       "      <th>used_chip</th>\n",
       "      <th>used_pin_number</th>\n",
       "      <th>online_order</th>\n",
       "      <th>fraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "      <td>1000000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>26.628792</td>\n",
       "      <td>5.036519</td>\n",
       "      <td>1.824182</td>\n",
       "      <td>0.881536</td>\n",
       "      <td>0.350399</td>\n",
       "      <td>0.100608</td>\n",
       "      <td>0.650552</td>\n",
       "      <td>0.087403</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>65.390784</td>\n",
       "      <td>25.843093</td>\n",
       "      <td>2.799589</td>\n",
       "      <td>0.323157</td>\n",
       "      <td>0.477095</td>\n",
       "      <td>0.300809</td>\n",
       "      <td>0.476796</td>\n",
       "      <td>0.282425</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.004874</td>\n",
       "      <td>0.000118</td>\n",
       "      <td>0.004399</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>3.878008</td>\n",
       "      <td>0.296671</td>\n",
       "      <td>0.475673</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>9.967760</td>\n",
       "      <td>0.998650</td>\n",
       "      <td>0.997717</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>25.743985</td>\n",
       "      <td>3.355748</td>\n",
       "      <td>2.096370</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>10632.723672</td>\n",
       "      <td>11851.104565</td>\n",
       "      <td>267.802942</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       distance_from_home  distance_from_last_transaction  \\\n",
       "count      1000000.000000                  1000000.000000   \n",
       "mean            26.628792                        5.036519   \n",
       "std             65.390784                       25.843093   \n",
       "min              0.004874                        0.000118   \n",
       "25%              3.878008                        0.296671   \n",
       "50%              9.967760                        0.998650   \n",
       "75%             25.743985                        3.355748   \n",
       "max          10632.723672                    11851.104565   \n",
       "\n",
       "       ratio_to_median_purchase_price  repeat_retailer       used_chip  \\\n",
       "count                  1000000.000000   1000000.000000  1000000.000000   \n",
       "mean                         1.824182         0.881536        0.350399   \n",
       "std                          2.799589         0.323157        0.477095   \n",
       "min                          0.004399         0.000000        0.000000   \n",
       "25%                          0.475673         1.000000        0.000000   \n",
       "50%                          0.997717         1.000000        0.000000   \n",
       "75%                          2.096370         1.000000        1.000000   \n",
       "max                        267.802942         1.000000        1.000000   \n",
       "\n",
       "       used_pin_number    online_order           fraud  \n",
       "count   1000000.000000  1000000.000000  1000000.000000  \n",
       "mean          0.100608        0.650552        0.087403  \n",
       "std           0.300809        0.476796        0.282425  \n",
       "min           0.000000        0.000000        0.000000  \n",
       "25%           0.000000        0.000000        0.000000  \n",
       "50%           0.000000        1.000000        0.000000  \n",
       "75%           0.000000        1.000000        0.000000  \n",
       "max           1.000000        1.000000        1.000000  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "distance_from_home                0\n",
       "distance_from_last_transaction    0\n",
       "ratio_to_median_purchase_price    0\n",
       "repeat_retailer                   0\n",
       "used_chip                         0\n",
       "used_pin_number                   0\n",
       "online_order                      0\n",
       "fraud                             0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "scrolled": false
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\Vaishu\\anaconda3\\lib\\site-packages\\ipykernel_launcher.py:6: DeprecationWarning: `np.float` is a deprecated alias for the builtin `float`. To silence this warning, use `float` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.float64` here.\n",
      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
      "  \n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "0.0    0.912597\n",
       "1.0    0.087403\n",
       "Name: fraud, dtype: float64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Class distribution\n",
    "# Real (class 0.0) meaning non-fraudulent transactions\n",
    "# Fraud (class 1.0) meaning fraudulent transactions\n",
    "df.value_counts(\"fraud\").plot.pie(autopct = \"%.1f\")\n",
    "df.value_counts(\"fraud\")\n",
    "df['fraud'].value_counts()/np.float(len(df))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By seeing the pie chart we can have an idea how skewed are these features, we can also see further distributions of the other features. There are techniques that can help the distributions be less skewed."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1200 with 9 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Check the distribution of Variables\n",
    "df.hist(bins=10, figsize=(12,12), density=True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [],
   "source": [
    "correlation=df.corr()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fraud                             1.000000\n",
       "ratio_to_median_purchase_price    0.462305\n",
       "online_order                      0.191973\n",
       "distance_from_home                0.187571\n",
       "distance_from_last_transaction    0.091917\n",
       "repeat_retailer                  -0.001357\n",
       "used_chip                        -0.060975\n",
       "used_pin_number                  -0.100293\n",
       "Name: fraud, dtype: float64"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "correlation['fraud'].sort_values(ascending=False)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "When correlation coefficient is to close to +1, it means that there is a strong positive correlation. So we can say \"fraud\" has highest correlation with \"ratio_to_median_purchase_price\"\n",
    "\n",
    "When it is close to -1, it means that there is a strong negative correlation. When it is close to 0, there is no correlation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))\n",
    "plt.title('Correlation of Attributes with Fraud variable')\n",
    "a = sns.heatmap(correlation, square=True, annot=True, fmt='.2f', linecolor='white')\n",
    "a.set_xticklabels(a.get_xticklabels(), rotation=90)\n",
    "a.set_yticklabels(a.get_yticklabels(), rotation=0)           \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Under-sampling (Down Sampling)\n",
    "we implemented \"Random Under Sampling\" which basically consists of removing data in order to have a more balanced dataset and thus avoiding our models to overfitting."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "real = df[df[\"fraud\"] == 0]\n",
    "fraud = df[df[\"fraud\"] == 1]\n",
    "\n",
    "# Resampling the original dataset with 87,403 datapoints for both classes\n",
    "real_resample = real.sample(n = 87403, random_state = 123)\n",
    "fraud_resample = fraud.sample(n = 87403, random_state = 123)\n",
    "\n",
    "# Creating new dataset consisting of equal class occurence \n",
    "df0 = pd.concat([real_resample, fraud_resample], axis = 0)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fraud\n",
       "0.0    87403\n",
       "1.0    87403\n",
       "dtype: int64"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df0.value_counts(\"fraud\").plot.pie(autopct = \"%.1f\")\n",
    "df0.value_counts(\"fraud\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>distance_from_home</th>\n",
       "      <th>distance_from_last_transaction</th>\n",
       "      <th>ratio_to_median_purchase_price</th>\n",
       "      <th>repeat_retailer</th>\n",
       "      <th>used_chip</th>\n",
       "      <th>used_pin_number</th>\n",
       "      <th>online_order</th>\n",
       "      <th>fraud</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>263626</th>\n",
       "      <td>5.146370</td>\n",
       "      <td>0.581827</td>\n",
       "      <td>2.020163</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>455906</th>\n",
       "      <td>7.014228</td>\n",
       "      <td>4.098572</td>\n",
       "      <td>0.090274</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>167090</th>\n",
       "      <td>2.488980</td>\n",
       "      <td>1.918921</td>\n",
       "      <td>0.703847</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>943936</th>\n",
       "      <td>12.325551</td>\n",
       "      <td>0.398978</td>\n",
       "      <td>0.328721</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>571244</th>\n",
       "      <td>39.943200</td>\n",
       "      <td>0.086986</td>\n",
       "      <td>1.839616</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "        distance_from_home  distance_from_last_transaction  \\\n",
       "263626            5.146370                        0.581827   \n",
       "455906            7.014228                        4.098572   \n",
       "167090            2.488980                        1.918921   \n",
       "943936           12.325551                        0.398978   \n",
       "571244           39.943200                        0.086986   \n",
       "\n",
       "        ratio_to_median_purchase_price  repeat_retailer  used_chip  \\\n",
       "263626                        2.020163              1.0        0.0   \n",
       "455906                        0.090274              1.0        0.0   \n",
       "167090                        0.703847              1.0        0.0   \n",
       "943936                        0.328721              1.0        1.0   \n",
       "571244                        1.839616              1.0        0.0   \n",
       "\n",
       "        used_pin_number  online_order  fraud  \n",
       "263626              0.0           1.0    0.0  \n",
       "455906              0.0           1.0    0.0  \n",
       "167090              0.0           1.0    0.0  \n",
       "943936              0.0           1.0    0.0  \n",
       "571244              0.0           0.0    0.0  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df0.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(174806, 8)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df0.shape\n",
    "# (1000000, 8)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 174806 entries, 263626 to 180922\n",
      "Data columns (total 8 columns):\n",
      " #   Column                          Non-Null Count   Dtype  \n",
      "---  ------                          --------------   -----  \n",
      " 0   distance_from_home              174806 non-null  float64\n",
      " 1   distance_from_last_transaction  174806 non-null  float64\n",
      " 2   ratio_to_median_purchase_price  174806 non-null  float64\n",
      " 3   repeat_retailer                 174806 non-null  float64\n",
      " 4   used_chip                       174806 non-null  float64\n",
      " 5   used_pin_number                 174806 non-null  float64\n",
      " 6   online_order                    174806 non-null  float64\n",
      " 7   fraud                           174806 non-null  float64\n",
      "dtypes: float64(8)\n",
      "memory usage: 12.0 MB\n"
     ]
    }
   ],
   "source": [
    "df0.info()\n",
    "# 61mb to 12mb"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fraud                             1.000000\n",
       "ratio_to_median_purchase_price    0.480175\n",
       "online_order                      0.395379\n",
       "distance_from_home                0.207645\n",
       "distance_from_last_transaction    0.116073\n",
       "repeat_retailer                  -0.001164\n",
       "used_chip                        -0.111438\n",
       "used_pin_number                  -0.233344\n",
       "Name: fraud, dtype: float64"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df0.corr()['fraud'].sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10,8))\n",
    "plt.title('Correlation of Attributes with Fraud variable')\n",
    "a = sns.heatmap(df0.corr(), square=True, annot=True, fmt='.2f', linecolor='white')\n",
    "a.set_xticklabels(a.get_xticklabels(), rotation=90)\n",
    "a.set_yticklabels(a.get_yticklabels(), rotation=0)           \n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.7.6 ('base')",
   "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": "3.7.6"
  },
  "vscode": {
   "interpreter": {
    "hash": "2614690ea9fbd59ba0b6237432366eb3dd6a41bb6a55e6e289aa8513f88de2ca"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}