TelecomChurn-label.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "churn_data=pd.read_csv('churn_data.csv')\n",
    "customer_data=pd.read_csv('customer_data.csv')\n",
    "internet_data=pd.read_csv('internet_data.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>45</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID  tenure PhoneService        Contract PaperlessBilling  \\\n",
       "0  7590-VHVEG       1           No  Month-to-month              Yes   \n",
       "1  5575-GNVDE      34          Yes        One year               No   \n",
       "2  3668-QPYBK       2          Yes  Month-to-month              Yes   \n",
       "3  7795-CFOCW      45           No        One year               No   \n",
       "4  9237-HQITU       2          Yes  Month-to-month              Yes   \n",
       "\n",
       "               PaymentMethod  MonthlyCharges TotalCharges Churn  \n",
       "0           Electronic check           29.85        29.85    No  \n",
       "1               Mailed check           56.95       1889.5    No  \n",
       "2               Mailed check           53.85       108.15   Yes  \n",
       "3  Bank transfer (automatic)           42.30      1840.75    No  \n",
       "4           Electronic check           70.70       151.65   Yes  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "churn_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID  gender  SeniorCitizen Partner Dependents\n",
       "0  7590-VHVEG  Female              0     Yes         No\n",
       "1  5575-GNVDE    Male              0      No         No\n",
       "2  3668-QPYBK    Male              0      No         No\n",
       "3  7795-CFOCW    Male              0      No         No\n",
       "4  9237-HQITU  Female              0      No         No"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>OnlineBackup</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   customerID     MultipleLines InternetService OnlineSecurity OnlineBackup  \\\n",
       "0  7590-VHVEG  No phone service             DSL             No          Yes   \n",
       "1  5575-GNVDE                No             DSL            Yes           No   \n",
       "2  3668-QPYBK                No             DSL            Yes          Yes   \n",
       "3  7795-CFOCW  No phone service             DSL            Yes           No   \n",
       "4  9237-HQITU                No     Fiber optic             No           No   \n",
       "\n",
       "  DeviceProtection TechSupport StreamingTV StreamingMovies  \n",
       "0               No          No          No              No  \n",
       "1              Yes          No          No              No  \n",
       "2               No          No          No              No  \n",
       "3              Yes         Yes          No              No  \n",
       "4               No          No          No              No  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "internet_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7043, 9)"
      ]
     },
     "execution_count": 83,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "churn_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7043, 5)"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7043, 9)"
      ]
     },
     "execution_count": 85,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "internet_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>tenure</th>\n",
       "      <th>PhoneService</th>\n",
       "      <th>Contract</th>\n",
       "      <th>PaperlessBilling</th>\n",
       "      <th>PaymentMethod</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "      <th>Churn</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.85</td>\n",
       "      <td>29.85</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>56.95</td>\n",
       "      <td>1889.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>53.85</td>\n",
       "      <td>108.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>45</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>42.30</td>\n",
       "      <td>1840.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>70.70</td>\n",
       "      <td>151.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9305-CDSKC</td>\n",
       "      <td>8</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>99.65</td>\n",
       "      <td>820.5</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1452-KIOVK</td>\n",
       "      <td>22</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>89.10</td>\n",
       "      <td>1949.4</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6713-OKOMC</td>\n",
       "      <td>10</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>29.75</td>\n",
       "      <td>301.9</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7892-POOKP</td>\n",
       "      <td>28</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>104.80</td>\n",
       "      <td>3046.05</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6388-TABGU</td>\n",
       "      <td>62</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>56.15</td>\n",
       "      <td>3487.95</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9763-GRSKD</td>\n",
       "      <td>13</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>49.95</td>\n",
       "      <td>587.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>7469-LKBCI</td>\n",
       "      <td>16</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>No</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>18.95</td>\n",
       "      <td>326.8</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>8091-TTVAX</td>\n",
       "      <td>58</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>100.35</td>\n",
       "      <td>5681.1</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0280-XJGEX</td>\n",
       "      <td>49</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>103.70</td>\n",
       "      <td>5036.3</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5129-JLPIS</td>\n",
       "      <td>25</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>105.50</td>\n",
       "      <td>2686.05</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3655-SNQYZ</td>\n",
       "      <td>69</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>No</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>113.25</td>\n",
       "      <td>7895.15</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>8191-XWSZG</td>\n",
       "      <td>52</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.65</td>\n",
       "      <td>1022.95</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9959-WOFKT</td>\n",
       "      <td>71</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>106.70</td>\n",
       "      <td>7382.25</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4190-MFLUW</td>\n",
       "      <td>10</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>55.20</td>\n",
       "      <td>528.35</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4183-MYFRB</td>\n",
       "      <td>21</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>90.05</td>\n",
       "      <td>1862.9</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8779-QRDMV</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>39.65</td>\n",
       "      <td>39.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1680-VDCWW</td>\n",
       "      <td>12</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>19.80</td>\n",
       "      <td>202.25</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1066-JKSGK</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.15</td>\n",
       "      <td>20.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3638-WEABW</td>\n",
       "      <td>58</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>59.90</td>\n",
       "      <td>3505.1</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>6322-HRPFA</td>\n",
       "      <td>49</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>59.60</td>\n",
       "      <td>2970.3</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6865-JZNKO</td>\n",
       "      <td>30</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>55.30</td>\n",
       "      <td>1530.6</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>6467-CHFZW</td>\n",
       "      <td>47</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>99.35</td>\n",
       "      <td>4749.15</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>8665-UTDHZ</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>30.20</td>\n",
       "      <td>30.2</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5248-YGIJN</td>\n",
       "      <td>72</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>90.25</td>\n",
       "      <td>6369.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>8773-HHUOZ</td>\n",
       "      <td>17</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>64.70</td>\n",
       "      <td>1093.1</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7013</th>\n",
       "      <td>1685-BQULA</td>\n",
       "      <td>40</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>93.40</td>\n",
       "      <td>3756.4</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7014</th>\n",
       "      <td>9053-EJUNL</td>\n",
       "      <td>41</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>89.20</td>\n",
       "      <td>3645.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7015</th>\n",
       "      <td>0666-UXTJO</td>\n",
       "      <td>34</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>85.20</td>\n",
       "      <td>2874.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7016</th>\n",
       "      <td>1471-GIQKQ</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>49.95</td>\n",
       "      <td>49.95</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7017</th>\n",
       "      <td>4807-IZYOZ</td>\n",
       "      <td>51</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>20.65</td>\n",
       "      <td>1020.75</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7018</th>\n",
       "      <td>1122-JWTJW</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>70.65</td>\n",
       "      <td>70.65</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7019</th>\n",
       "      <td>9710-NJERN</td>\n",
       "      <td>39</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.15</td>\n",
       "      <td>826</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7020</th>\n",
       "      <td>9837-FWLCH</td>\n",
       "      <td>12</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>19.20</td>\n",
       "      <td>239</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7021</th>\n",
       "      <td>1699-HPSBG</td>\n",
       "      <td>12</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>59.80</td>\n",
       "      <td>727.8</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7022</th>\n",
       "      <td>7203-OYKCT</td>\n",
       "      <td>72</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>104.95</td>\n",
       "      <td>7544.3</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7023</th>\n",
       "      <td>1035-IPQPU</td>\n",
       "      <td>63</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>103.50</td>\n",
       "      <td>6479.4</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7024</th>\n",
       "      <td>7398-LXGYX</td>\n",
       "      <td>44</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>84.80</td>\n",
       "      <td>3626.35</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7025</th>\n",
       "      <td>2823-LKABH</td>\n",
       "      <td>18</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>95.05</td>\n",
       "      <td>1679.4</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7026</th>\n",
       "      <td>8775-CEBBJ</td>\n",
       "      <td>9</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>44.20</td>\n",
       "      <td>403.35</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7027</th>\n",
       "      <td>0550-DCXLH</td>\n",
       "      <td>13</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>No</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>73.35</td>\n",
       "      <td>931.55</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7028</th>\n",
       "      <td>9281-CEDRU</td>\n",
       "      <td>68</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>No</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>64.10</td>\n",
       "      <td>4326.25</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7029</th>\n",
       "      <td>2235-DWLJU</td>\n",
       "      <td>6</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>44.40</td>\n",
       "      <td>263.05</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7030</th>\n",
       "      <td>0871-OPBXW</td>\n",
       "      <td>2</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>20.05</td>\n",
       "      <td>39.25</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7031</th>\n",
       "      <td>3605-JISKB</td>\n",
       "      <td>55</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>60.00</td>\n",
       "      <td>3316.1</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7032</th>\n",
       "      <td>6894-LFHLY</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>75.75</td>\n",
       "      <td>75.75</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7033</th>\n",
       "      <td>9767-FFLEM</td>\n",
       "      <td>38</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>69.50</td>\n",
       "      <td>2625.25</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7034</th>\n",
       "      <td>0639-TSIQW</td>\n",
       "      <td>67</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>102.95</td>\n",
       "      <td>6886.25</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7035</th>\n",
       "      <td>8456-QDAVC</td>\n",
       "      <td>19</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>78.70</td>\n",
       "      <td>1495.1</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7036</th>\n",
       "      <td>7750-EYXWZ</td>\n",
       "      <td>12</td>\n",
       "      <td>No</td>\n",
       "      <td>One year</td>\n",
       "      <td>No</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>60.65</td>\n",
       "      <td>743.3</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7037</th>\n",
       "      <td>2569-WGERO</td>\n",
       "      <td>72</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>21.15</td>\n",
       "      <td>1419.4</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7038</th>\n",
       "      <td>6840-RESVB</td>\n",
       "      <td>24</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>84.80</td>\n",
       "      <td>1990.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7039</th>\n",
       "      <td>2234-XADUH</td>\n",
       "      <td>72</td>\n",
       "      <td>Yes</td>\n",
       "      <td>One year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Credit card (automatic)</td>\n",
       "      <td>103.20</td>\n",
       "      <td>7362.9</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7040</th>\n",
       "      <td>4801-JZAZL</td>\n",
       "      <td>11</td>\n",
       "      <td>No</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Electronic check</td>\n",
       "      <td>29.60</td>\n",
       "      <td>346.45</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7041</th>\n",
       "      <td>8361-LTMKD</td>\n",
       "      <td>4</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Month-to-month</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Mailed check</td>\n",
       "      <td>74.40</td>\n",
       "      <td>306.6</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7042</th>\n",
       "      <td>3186-AJIEK</td>\n",
       "      <td>66</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Two year</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Bank transfer (automatic)</td>\n",
       "      <td>105.65</td>\n",
       "      <td>6844.5</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7043 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      customerID  tenure PhoneService        Contract PaperlessBilling  \\\n",
       "0     7590-VHVEG       1           No  Month-to-month              Yes   \n",
       "1     5575-GNVDE      34          Yes        One year               No   \n",
       "2     3668-QPYBK       2          Yes  Month-to-month              Yes   \n",
       "3     7795-CFOCW      45           No        One year               No   \n",
       "4     9237-HQITU       2          Yes  Month-to-month              Yes   \n",
       "5     9305-CDSKC       8          Yes  Month-to-month              Yes   \n",
       "6     1452-KIOVK      22          Yes  Month-to-month              Yes   \n",
       "7     6713-OKOMC      10           No  Month-to-month               No   \n",
       "8     7892-POOKP      28          Yes  Month-to-month              Yes   \n",
       "9     6388-TABGU      62          Yes        One year               No   \n",
       "10    9763-GRSKD      13          Yes  Month-to-month              Yes   \n",
       "11    7469-LKBCI      16          Yes        Two year               No   \n",
       "12    8091-TTVAX      58          Yes        One year               No   \n",
       "13    0280-XJGEX      49          Yes  Month-to-month              Yes   \n",
       "14    5129-JLPIS      25          Yes  Month-to-month              Yes   \n",
       "15    3655-SNQYZ      69          Yes        Two year               No   \n",
       "16    8191-XWSZG      52          Yes        One year               No   \n",
       "17    9959-WOFKT      71          Yes        Two year               No   \n",
       "18    4190-MFLUW      10          Yes  Month-to-month               No   \n",
       "19    4183-MYFRB      21          Yes  Month-to-month              Yes   \n",
       "20    8779-QRDMV       1           No  Month-to-month              Yes   \n",
       "21    1680-VDCWW      12          Yes        One year               No   \n",
       "22    1066-JKSGK       1          Yes  Month-to-month               No   \n",
       "23    3638-WEABW      58          Yes        Two year              Yes   \n",
       "24    6322-HRPFA      49          Yes  Month-to-month               No   \n",
       "25    6865-JZNKO      30          Yes  Month-to-month              Yes   \n",
       "26    6467-CHFZW      47          Yes  Month-to-month              Yes   \n",
       "27    8665-UTDHZ       1           No  Month-to-month               No   \n",
       "28    5248-YGIJN      72          Yes        Two year              Yes   \n",
       "29    8773-HHUOZ      17          Yes  Month-to-month              Yes   \n",
       "...          ...     ...          ...             ...              ...   \n",
       "7013  1685-BQULA      40          Yes  Month-to-month              Yes   \n",
       "7014  9053-EJUNL      41          Yes  Month-to-month              Yes   \n",
       "7015  0666-UXTJO      34          Yes  Month-to-month              Yes   \n",
       "7016  1471-GIQKQ       1          Yes  Month-to-month               No   \n",
       "7017  4807-IZYOZ      51          Yes        Two year               No   \n",
       "7018  1122-JWTJW       1          Yes  Month-to-month              Yes   \n",
       "7019  9710-NJERN      39          Yes        Two year               No   \n",
       "7020  9837-FWLCH      12          Yes  Month-to-month              Yes   \n",
       "7021  1699-HPSBG      12          Yes        One year              Yes   \n",
       "7022  7203-OYKCT      72          Yes        One year              Yes   \n",
       "7023  1035-IPQPU      63          Yes  Month-to-month              Yes   \n",
       "7024  7398-LXGYX      44          Yes  Month-to-month              Yes   \n",
       "7025  2823-LKABH      18          Yes  Month-to-month              Yes   \n",
       "7026  8775-CEBBJ       9          Yes  Month-to-month              Yes   \n",
       "7027  0550-DCXLH      13          Yes  Month-to-month               No   \n",
       "7028  9281-CEDRU      68          Yes        Two year               No   \n",
       "7029  2235-DWLJU       6           No  Month-to-month              Yes   \n",
       "7030  0871-OPBXW       2          Yes  Month-to-month              Yes   \n",
       "7031  3605-JISKB      55          Yes        One year               No   \n",
       "7032  6894-LFHLY       1          Yes  Month-to-month              Yes   \n",
       "7033  9767-FFLEM      38          Yes  Month-to-month              Yes   \n",
       "7034  0639-TSIQW      67          Yes  Month-to-month              Yes   \n",
       "7035  8456-QDAVC      19          Yes  Month-to-month              Yes   \n",
       "7036  7750-EYXWZ      12           No        One year               No   \n",
       "7037  2569-WGERO      72          Yes        Two year              Yes   \n",
       "7038  6840-RESVB      24          Yes        One year              Yes   \n",
       "7039  2234-XADUH      72          Yes        One year              Yes   \n",
       "7040  4801-JZAZL      11           No  Month-to-month              Yes   \n",
       "7041  8361-LTMKD       4          Yes  Month-to-month              Yes   \n",
       "7042  3186-AJIEK      66          Yes        Two year              Yes   \n",
       "\n",
       "                  PaymentMethod  MonthlyCharges TotalCharges Churn  \n",
       "0              Electronic check           29.85        29.85    No  \n",
       "1                  Mailed check           56.95       1889.5    No  \n",
       "2                  Mailed check           53.85       108.15   Yes  \n",
       "3     Bank transfer (automatic)           42.30      1840.75    No  \n",
       "4              Electronic check           70.70       151.65   Yes  \n",
       "5              Electronic check           99.65        820.5   Yes  \n",
       "6       Credit card (automatic)           89.10       1949.4    No  \n",
       "7                  Mailed check           29.75        301.9    No  \n",
       "8              Electronic check          104.80      3046.05   Yes  \n",
       "9     Bank transfer (automatic)           56.15      3487.95    No  \n",
       "10                 Mailed check           49.95       587.45    No  \n",
       "11      Credit card (automatic)           18.95        326.8    No  \n",
       "12      Credit card (automatic)          100.35       5681.1    No  \n",
       "13    Bank transfer (automatic)          103.70       5036.3   Yes  \n",
       "14             Electronic check          105.50      2686.05    No  \n",
       "15      Credit card (automatic)          113.25      7895.15    No  \n",
       "16                 Mailed check           20.65      1022.95    No  \n",
       "17    Bank transfer (automatic)          106.70      7382.25    No  \n",
       "18      Credit card (automatic)           55.20       528.35   Yes  \n",
       "19             Electronic check           90.05       1862.9    No  \n",
       "20             Electronic check           39.65        39.65   Yes  \n",
       "21    Bank transfer (automatic)           19.80       202.25    No  \n",
       "22                 Mailed check           20.15        20.15   Yes  \n",
       "23      Credit card (automatic)           59.90       3505.1    No  \n",
       "24      Credit card (automatic)           59.60       2970.3    No  \n",
       "25    Bank transfer (automatic)           55.30       1530.6    No  \n",
       "26             Electronic check           99.35      4749.15   Yes  \n",
       "27             Electronic check           30.20         30.2   Yes  \n",
       "28      Credit card (automatic)           90.25      6369.45    No  \n",
       "29                 Mailed check           64.70       1093.1   Yes  \n",
       "...                         ...             ...          ...   ...  \n",
       "7013  Bank transfer (automatic)           93.40       3756.4    No  \n",
       "7014           Electronic check           89.20      3645.75    No  \n",
       "7015    Credit card (automatic)           85.20      2874.45    No  \n",
       "7016           Electronic check           49.95        49.95    No  \n",
       "7017  Bank transfer (automatic)           20.65      1020.75    No  \n",
       "7018               Mailed check           70.65        70.65   Yes  \n",
       "7019               Mailed check           20.15          826    No  \n",
       "7020           Electronic check           19.20          239    No  \n",
       "7021           Electronic check           59.80        727.8   Yes  \n",
       "7022           Electronic check          104.95       7544.3    No  \n",
       "7023           Electronic check          103.50       6479.4    No  \n",
       "7024    Credit card (automatic)           84.80      3626.35    No  \n",
       "7025  Bank transfer (automatic)           95.05       1679.4    No  \n",
       "7026  Bank transfer (automatic)           44.20       403.35   Yes  \n",
       "7027               Mailed check           73.35       931.55    No  \n",
       "7028  Bank transfer (automatic)           64.10      4326.25    No  \n",
       "7029           Electronic check           44.40       263.05    No  \n",
       "7030               Mailed check           20.05        39.25    No  \n",
       "7031    Credit card (automatic)           60.00       3316.1    No  \n",
       "7032           Electronic check           75.75        75.75   Yes  \n",
       "7033    Credit card (automatic)           69.50      2625.25    No  \n",
       "7034    Credit card (automatic)          102.95      6886.25   Yes  \n",
       "7035  Bank transfer (automatic)           78.70       1495.1    No  \n",
       "7036           Electronic check           60.65        743.3    No  \n",
       "7037  Bank transfer (automatic)           21.15       1419.4    No  \n",
       "7038               Mailed check           84.80       1990.5    No  \n",
       "7039    Credit card (automatic)          103.20       7362.9    No  \n",
       "7040           Electronic check           29.60       346.45    No  \n",
       "7041               Mailed check           74.40        306.6   Yes  \n",
       "7042  Bank transfer (automatic)          105.65       6844.5    No  \n",
       "\n",
       "[7043 rows x 9 columns]"
      ]
     },
     "execution_count": 86,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "churn_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customerID</th>\n",
       "      <th>gender</th>\n",
       "      <th>SeniorCitizen</th>\n",
       "      <th>Partner</th>\n",
       "      <th>Dependents</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9305-CDSKC</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1452-KIOVK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6713-OKOMC</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7892-POOKP</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6388-TABGU</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9763-GRSKD</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>7469-LKBCI</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>8091-TTVAX</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0280-XJGEX</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5129-JLPIS</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3655-SNQYZ</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>8191-XWSZG</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9959-WOFKT</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4190-MFLUW</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4183-MYFRB</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8779-QRDMV</td>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1680-VDCWW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1066-JKSGK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3638-WEABW</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>6322-HRPFA</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6865-JZNKO</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>6467-CHFZW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>8665-UTDHZ</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5248-YGIJN</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>8773-HHUOZ</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</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>7013</th>\n",
       "      <td>1685-BQULA</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7014</th>\n",
       "      <td>9053-EJUNL</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7015</th>\n",
       "      <td>0666-UXTJO</td>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7016</th>\n",
       "      <td>1471-GIQKQ</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7017</th>\n",
       "      <td>4807-IZYOZ</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7018</th>\n",
       "      <td>1122-JWTJW</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7019</th>\n",
       "      <td>9710-NJERN</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7020</th>\n",
       "      <td>9837-FWLCH</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7021</th>\n",
       "      <td>1699-HPSBG</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7022</th>\n",
       "      <td>7203-OYKCT</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7023</th>\n",
       "      <td>1035-IPQPU</td>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7024</th>\n",
       "      <td>7398-LXGYX</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7025</th>\n",
       "      <td>2823-LKABH</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7026</th>\n",
       "      <td>8775-CEBBJ</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7027</th>\n",
       "      <td>0550-DCXLH</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7028</th>\n",
       "      <td>9281-CEDRU</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7029</th>\n",
       "      <td>2235-DWLJU</td>\n",
       "      <td>Female</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7030</th>\n",
       "      <td>0871-OPBXW</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7031</th>\n",
       "      <td>3605-JISKB</td>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7032</th>\n",
       "      <td>6894-LFHLY</td>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7033</th>\n",
       "      <td>9767-FFLEM</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7034</th>\n",
       "      <td>0639-TSIQW</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7035</th>\n",
       "      <td>8456-QDAVC</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7036</th>\n",
       "      <td>7750-EYXWZ</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7037</th>\n",
       "      <td>2569-WGERO</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7038</th>\n",
       "      <td>6840-RESVB</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7039</th>\n",
       "      <td>2234-XADUH</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7040</th>\n",
       "      <td>4801-JZAZL</td>\n",
       "      <td>Female</td>\n",
       "      <td>0</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7041</th>\n",
       "      <td>8361-LTMKD</td>\n",
       "      <td>Male</td>\n",
       "      <td>1</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7042</th>\n",
       "      <td>3186-AJIEK</td>\n",
       "      <td>Male</td>\n",
       "      <td>0</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7043 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      customerID  gender  SeniorCitizen Partner Dependents\n",
       "0     7590-VHVEG  Female              0     Yes         No\n",
       "1     5575-GNVDE    Male              0      No         No\n",
       "2     3668-QPYBK    Male              0      No         No\n",
       "3     7795-CFOCW    Male              0      No         No\n",
       "4     9237-HQITU  Female              0      No         No\n",
       "5     9305-CDSKC  Female              0      No         No\n",
       "6     1452-KIOVK    Male              0      No        Yes\n",
       "7     6713-OKOMC  Female              0      No         No\n",
       "8     7892-POOKP  Female              0     Yes         No\n",
       "9     6388-TABGU    Male              0      No        Yes\n",
       "10    9763-GRSKD    Male              0     Yes        Yes\n",
       "11    7469-LKBCI    Male              0      No         No\n",
       "12    8091-TTVAX    Male              0     Yes         No\n",
       "13    0280-XJGEX    Male              0      No         No\n",
       "14    5129-JLPIS    Male              0      No         No\n",
       "15    3655-SNQYZ  Female              0     Yes        Yes\n",
       "16    8191-XWSZG  Female              0      No         No\n",
       "17    9959-WOFKT    Male              0      No        Yes\n",
       "18    4190-MFLUW  Female              0     Yes        Yes\n",
       "19    4183-MYFRB  Female              0      No         No\n",
       "20    8779-QRDMV    Male              1      No         No\n",
       "21    1680-VDCWW    Male              0     Yes         No\n",
       "22    1066-JKSGK    Male              0      No         No\n",
       "23    3638-WEABW  Female              0     Yes         No\n",
       "24    6322-HRPFA    Male              0     Yes        Yes\n",
       "25    6865-JZNKO  Female              0      No         No\n",
       "26    6467-CHFZW    Male              0     Yes        Yes\n",
       "27    8665-UTDHZ    Male              0     Yes        Yes\n",
       "28    5248-YGIJN    Male              0     Yes         No\n",
       "29    8773-HHUOZ  Female              0      No        Yes\n",
       "...          ...     ...            ...     ...        ...\n",
       "7013  1685-BQULA  Female              0      No         No\n",
       "7014  9053-EJUNL    Male              0      No         No\n",
       "7015  0666-UXTJO    Male              1     Yes         No\n",
       "7016  1471-GIQKQ  Female              0      No         No\n",
       "7017  4807-IZYOZ  Female              0      No         No\n",
       "7018  1122-JWTJW    Male              0     Yes        Yes\n",
       "7019  9710-NJERN  Female              0      No         No\n",
       "7020  9837-FWLCH    Male              0     Yes        Yes\n",
       "7021  1699-HPSBG    Male              0      No         No\n",
       "7022  7203-OYKCT    Male              0      No         No\n",
       "7023  1035-IPQPU  Female              1     Yes         No\n",
       "7024  7398-LXGYX    Male              0     Yes         No\n",
       "7025  2823-LKABH  Female              0      No         No\n",
       "7026  8775-CEBBJ  Female              0      No         No\n",
       "7027  0550-DCXLH    Male              0      No         No\n",
       "7028  9281-CEDRU  Female              0     Yes         No\n",
       "7029  2235-DWLJU  Female              1      No         No\n",
       "7030  0871-OPBXW  Female              0      No         No\n",
       "7031  3605-JISKB    Male              1     Yes         No\n",
       "7032  6894-LFHLY    Male              1      No         No\n",
       "7033  9767-FFLEM    Male              0      No         No\n",
       "7034  0639-TSIQW  Female              0      No         No\n",
       "7035  8456-QDAVC    Male              0      No         No\n",
       "7036  7750-EYXWZ  Female              0      No         No\n",
       "7037  2569-WGERO  Female              0      No         No\n",
       "7038  6840-RESVB    Male              0     Yes        Yes\n",
       "7039  2234-XADUH  Female              0     Yes        Yes\n",
       "7040  4801-JZAZL  Female              0     Yes        Yes\n",
       "7041  8361-LTMKD    Male              1     Yes         No\n",
       "7042  3186-AJIEK    Male              0      No         No\n",
       "\n",
       "[7043 rows x 5 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customer_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "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>customerID</th>\n",
       "      <th>MultipleLines</th>\n",
       "      <th>InternetService</th>\n",
       "      <th>OnlineSecurity</th>\n",
       "      <th>OnlineBackup</th>\n",
       "      <th>DeviceProtection</th>\n",
       "      <th>TechSupport</th>\n",
       "      <th>StreamingTV</th>\n",
       "      <th>StreamingMovies</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7590-VHVEG</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>5575-GNVDE</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3668-QPYBK</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>7795-CFOCW</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9237-HQITU</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>9305-CDSKC</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1452-KIOVK</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>6713-OKOMC</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>7892-POOKP</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>6388-TABGU</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>9763-GRSKD</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>7469-LKBCI</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>8091-TTVAX</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>0280-XJGEX</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>5129-JLPIS</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>3655-SNQYZ</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>8191-XWSZG</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>9959-WOFKT</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>4190-MFLUW</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>4183-MYFRB</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>8779-QRDMV</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1680-VDCWW</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1066-JKSGK</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>3638-WEABW</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>6322-HRPFA</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>6865-JZNKO</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>6467-CHFZW</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>8665-UTDHZ</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>5248-YGIJN</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>8773-HHUOZ</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7013</th>\n",
       "      <td>1685-BQULA</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7014</th>\n",
       "      <td>9053-EJUNL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7015</th>\n",
       "      <td>0666-UXTJO</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7016</th>\n",
       "      <td>1471-GIQKQ</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7017</th>\n",
       "      <td>4807-IZYOZ</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7018</th>\n",
       "      <td>1122-JWTJW</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7019</th>\n",
       "      <td>9710-NJERN</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7020</th>\n",
       "      <td>9837-FWLCH</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7021</th>\n",
       "      <td>1699-HPSBG</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7022</th>\n",
       "      <td>7203-OYKCT</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7023</th>\n",
       "      <td>1035-IPQPU</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7024</th>\n",
       "      <td>7398-LXGYX</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7025</th>\n",
       "      <td>2823-LKABH</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7026</th>\n",
       "      <td>8775-CEBBJ</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7027</th>\n",
       "      <td>0550-DCXLH</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7028</th>\n",
       "      <td>9281-CEDRU</td>\n",
       "      <td>No</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7029</th>\n",
       "      <td>2235-DWLJU</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7030</th>\n",
       "      <td>0871-OPBXW</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7031</th>\n",
       "      <td>3605-JISKB</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7032</th>\n",
       "      <td>6894-LFHLY</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7033</th>\n",
       "      <td>9767-FFLEM</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7034</th>\n",
       "      <td>0639-TSIQW</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7035</th>\n",
       "      <td>8456-QDAVC</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7036</th>\n",
       "      <td>7750-EYXWZ</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7037</th>\n",
       "      <td>2569-WGERO</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "      <td>No internet service</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7038</th>\n",
       "      <td>6840-RESVB</td>\n",
       "      <td>Yes</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7039</th>\n",
       "      <td>2234-XADUH</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7040</th>\n",
       "      <td>4801-JZAZL</td>\n",
       "      <td>No phone service</td>\n",
       "      <td>DSL</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7041</th>\n",
       "      <td>8361-LTMKD</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "      <td>No</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7042</th>\n",
       "      <td>3186-AJIEK</td>\n",
       "      <td>No</td>\n",
       "      <td>Fiber optic</td>\n",
       "      <td>Yes</td>\n",
       "      <td>No</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "      <td>Yes</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7043 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      customerID     MultipleLines InternetService       OnlineSecurity  \\\n",
       "0     7590-VHVEG  No phone service             DSL                   No   \n",
       "1     5575-GNVDE                No             DSL                  Yes   \n",
       "2     3668-QPYBK                No             DSL                  Yes   \n",
       "3     7795-CFOCW  No phone service             DSL                  Yes   \n",
       "4     9237-HQITU                No     Fiber optic                   No   \n",
       "5     9305-CDSKC               Yes     Fiber optic                   No   \n",
       "6     1452-KIOVK               Yes     Fiber optic                   No   \n",
       "7     6713-OKOMC  No phone service             DSL                  Yes   \n",
       "8     7892-POOKP               Yes     Fiber optic                   No   \n",
       "9     6388-TABGU                No             DSL                  Yes   \n",
       "10    9763-GRSKD                No             DSL                  Yes   \n",
       "11    7469-LKBCI                No              No  No internet service   \n",
       "12    8091-TTVAX               Yes     Fiber optic                   No   \n",
       "13    0280-XJGEX               Yes     Fiber optic                   No   \n",
       "14    5129-JLPIS                No     Fiber optic                  Yes   \n",
       "15    3655-SNQYZ               Yes     Fiber optic                  Yes   \n",
       "16    8191-XWSZG                No              No  No internet service   \n",
       "17    9959-WOFKT               Yes     Fiber optic                  Yes   \n",
       "18    4190-MFLUW                No             DSL                   No   \n",
       "19    4183-MYFRB                No     Fiber optic                   No   \n",
       "20    8779-QRDMV  No phone service             DSL                   No   \n",
       "21    1680-VDCWW                No              No  No internet service   \n",
       "22    1066-JKSGK                No              No  No internet service   \n",
       "23    3638-WEABW               Yes             DSL                   No   \n",
       "24    6322-HRPFA                No             DSL                  Yes   \n",
       "25    6865-JZNKO                No             DSL                  Yes   \n",
       "26    6467-CHFZW               Yes     Fiber optic                   No   \n",
       "27    8665-UTDHZ  No phone service             DSL                   No   \n",
       "28    5248-YGIJN               Yes             DSL                  Yes   \n",
       "29    8773-HHUOZ                No             DSL                   No   \n",
       "...          ...               ...             ...                  ...   \n",
       "7013  1685-BQULA               Yes     Fiber optic                   No   \n",
       "7014  9053-EJUNL               Yes     Fiber optic                   No   \n",
       "7015  0666-UXTJO                No     Fiber optic                   No   \n",
       "7016  1471-GIQKQ                No             DSL                   No   \n",
       "7017  4807-IZYOZ                No              No  No internet service   \n",
       "7018  1122-JWTJW                No     Fiber optic                   No   \n",
       "7019  9710-NJERN                No              No  No internet service   \n",
       "7020  9837-FWLCH                No              No  No internet service   \n",
       "7021  1699-HPSBG                No             DSL                   No   \n",
       "7022  7203-OYKCT               Yes     Fiber optic                   No   \n",
       "7023  1035-IPQPU               Yes     Fiber optic                   No   \n",
       "7024  7398-LXGYX               Yes     Fiber optic                  Yes   \n",
       "7025  2823-LKABH               Yes     Fiber optic                   No   \n",
       "7026  8775-CEBBJ                No             DSL                   No   \n",
       "7027  0550-DCXLH                No             DSL                   No   \n",
       "7028  9281-CEDRU                No             DSL                   No   \n",
       "7029  2235-DWLJU  No phone service             DSL                   No   \n",
       "7030  0871-OPBXW                No              No  No internet service   \n",
       "7031  3605-JISKB               Yes             DSL                  Yes   \n",
       "7032  6894-LFHLY               Yes     Fiber optic                   No   \n",
       "7033  9767-FFLEM                No     Fiber optic                   No   \n",
       "7034  0639-TSIQW               Yes     Fiber optic                  Yes   \n",
       "7035  8456-QDAVC                No     Fiber optic                   No   \n",
       "7036  7750-EYXWZ  No phone service             DSL                   No   \n",
       "7037  2569-WGERO                No              No  No internet service   \n",
       "7038  6840-RESVB               Yes             DSL                  Yes   \n",
       "7039  2234-XADUH               Yes     Fiber optic                   No   \n",
       "7040  4801-JZAZL  No phone service             DSL                  Yes   \n",
       "7041  8361-LTMKD               Yes     Fiber optic                   No   \n",
       "7042  3186-AJIEK                No     Fiber optic                  Yes   \n",
       "\n",
       "             OnlineBackup     DeviceProtection          TechSupport  \\\n",
       "0                     Yes                   No                   No   \n",
       "1                      No                  Yes                   No   \n",
       "2                     Yes                   No                   No   \n",
       "3                      No                  Yes                  Yes   \n",
       "4                      No                   No                   No   \n",
       "5                      No                  Yes                   No   \n",
       "6                     Yes                   No                   No   \n",
       "7                      No                   No                   No   \n",
       "8                      No                  Yes                  Yes   \n",
       "9                     Yes                   No                   No   \n",
       "10                     No                   No                   No   \n",
       "11    No internet service  No internet service  No internet service   \n",
       "12                     No                  Yes                   No   \n",
       "13                    Yes                  Yes                   No   \n",
       "14                     No                  Yes                  Yes   \n",
       "15                    Yes                  Yes                  Yes   \n",
       "16    No internet service  No internet service  No internet service   \n",
       "17                     No                  Yes                   No   \n",
       "18                     No                  Yes                  Yes   \n",
       "19                    Yes                  Yes                   No   \n",
       "20                     No                  Yes                   No   \n",
       "21    No internet service  No internet service  No internet service   \n",
       "22    No internet service  No internet service  No internet service   \n",
       "23                    Yes                   No                  Yes   \n",
       "24                    Yes                   No                  Yes   \n",
       "25                    Yes                   No                   No   \n",
       "26                    Yes                   No                   No   \n",
       "27                    Yes                   No                   No   \n",
       "28                    Yes                  Yes                  Yes   \n",
       "29                     No                   No                   No   \n",
       "...                   ...                  ...                  ...   \n",
       "7013                  Yes                  Yes                   No   \n",
       "7014                  Yes                   No                   No   \n",
       "7015                   No                  Yes                   No   \n",
       "7016                  Yes                   No                   No   \n",
       "7017  No internet service  No internet service  No internet service   \n",
       "7018                   No                   No                   No   \n",
       "7019  No internet service  No internet service  No internet service   \n",
       "7020  No internet service  No internet service  No internet service   \n",
       "7021                   No                   No                  Yes   \n",
       "7022                  Yes                  Yes                   No   \n",
       "7023                  Yes                  Yes                   No   \n",
       "7024                   No                  Yes                   No   \n",
       "7025                   No                  Yes                  Yes   \n",
       "7026                   No                   No                   No   \n",
       "7027                  Yes                   No                  Yes   \n",
       "7028                  Yes                   No                  Yes   \n",
       "7029                   No                   No                   No   \n",
       "7030  No internet service  No internet service  No internet service   \n",
       "7031                  Yes                   No                   No   \n",
       "7032                   No                   No                   No   \n",
       "7033                   No                   No                   No   \n",
       "7034                  Yes                  Yes                   No   \n",
       "7035                   No                   No                   No   \n",
       "7036                  Yes                  Yes                  Yes   \n",
       "7037  No internet service  No internet service  No internet service   \n",
       "7038                   No                  Yes                  Yes   \n",
       "7039                  Yes                  Yes                   No   \n",
       "7040                   No                   No                   No   \n",
       "7041                   No                   No                   No   \n",
       "7042                   No                  Yes                  Yes   \n",
       "\n",
       "              StreamingTV      StreamingMovies  \n",
       "0                      No                   No  \n",
       "1                      No                   No  \n",
       "2                      No                   No  \n",
       "3                      No                   No  \n",
       "4                      No                   No  \n",
       "5                     Yes                  Yes  \n",
       "6                     Yes                   No  \n",
       "7                      No                   No  \n",
       "8                     Yes                  Yes  \n",
       "9                      No                   No  \n",
       "10                     No                   No  \n",
       "11    No internet service  No internet service  \n",
       "12                    Yes                  Yes  \n",
       "13                    Yes                  Yes  \n",
       "14                    Yes                  Yes  \n",
       "15                    Yes                  Yes  \n",
       "16    No internet service  No internet service  \n",
       "17                    Yes                  Yes  \n",
       "18                     No                   No  \n",
       "19                     No                  Yes  \n",
       "20                     No                  Yes  \n",
       "21    No internet service  No internet service  \n",
       "22    No internet service  No internet service  \n",
       "23                     No                   No  \n",
       "24                     No                   No  \n",
       "25                     No                   No  \n",
       "26                    Yes                  Yes  \n",
       "27                     No                   No  \n",
       "28                    Yes                  Yes  \n",
       "29                    Yes                  Yes  \n",
       "...                   ...                  ...  \n",
       "7013                  Yes                   No  \n",
       "7014                  Yes                   No  \n",
       "7015                  Yes                   No  \n",
       "7016                   No                   No  \n",
       "7017  No internet service  No internet service  \n",
       "7018                   No                   No  \n",
       "7019  No internet service  No internet service  \n",
       "7020  No internet service  No internet service  \n",
       "7021                  Yes                   No  \n",
       "7022                  Yes                  Yes  \n",
       "7023                  Yes                  Yes  \n",
       "7024                   No                   No  \n",
       "7025                   No                  Yes  \n",
       "7026                   No                   No  \n",
       "7027                  Yes                  Yes  \n",
       "7028                  Yes                   No  \n",
       "7029                  Yes                  Yes  \n",
       "7030  No internet service  No internet service  \n",
       "7031                   No                   No  \n",
       "7032                   No                   No  \n",
       "7033                   No                   No  \n",
       "7034                  Yes                   No  \n",
       "7035                  Yes                   No  \n",
       "7036                  Yes                  Yes  \n",
       "7037  No internet service  No internet service  \n",
       "7038                  Yes                  Yes  \n",
       "7039                  Yes                  Yes  \n",
       "7040                   No                   No  \n",
       "7041                   No                   No  \n",
       "7042                  Yes                  Yes  \n",
       "\n",
       "[7043 rows x 9 columns]"
      ]
     },
     "execution_count": 88,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "internet_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=churn_data.merge(customer_data,on='customerID')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7043, 13)"
      ]
     },
     "execution_count": 90,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=dataset.merge(internet_data,on='customerID')\n",
    "dataset.to_csv('dataset1.csv',index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 92,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(7043, 21)"
      ]
     },
     "execution_count": 92,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 93,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['customerID', 'tenure', 'PhoneService', 'Contract', 'PaperlessBilling',\n",
       "       'PaymentMethod', 'MonthlyCharges', 'TotalCharges', 'Churn', 'gender',\n",
       "       'SeniorCitizen', 'Partner', 'Dependents', 'MultipleLines',\n",
       "       'InternetService', 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection',\n",
       "       'TechSupport', 'StreamingTV', 'StreamingMovies'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 93,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 94,
   "metadata": {},
   "outputs": [],
   "source": [
    "senior=[]\n",
    "for i in dataset['SeniorCitizen']:\n",
    "    if i==0:\n",
    "        senior.append('no')\n",
    "    else:\n",
    "        senior.append('yes')\n",
    "dataset['SeniorCitizen']=senior"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 95,
   "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>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7043.000000</td>\n",
       "      <td>7043.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>32.371149</td>\n",
       "      <td>64.761692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>24.559481</td>\n",
       "      <td>30.090047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>0.000000</td>\n",
       "      <td>18.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>35.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>70.350000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>55.000000</td>\n",
       "      <td>89.850000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>72.000000</td>\n",
       "      <td>118.750000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            tenure  MonthlyCharges\n",
       "count  7043.000000     7043.000000\n",
       "mean     32.371149       64.761692\n",
       "std      24.559481       30.090047\n",
       "min       0.000000       18.250000\n",
       "25%       9.000000       35.500000\n",
       "50%      29.000000       70.350000\n",
       "75%      55.000000       89.850000\n",
       "max      72.000000      118.750000"
      ]
     },
     "execution_count": 95,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 96,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "Unable to parse string \" \" at position 488",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32mpandas/_libs/lib.pyx\u001b[0m in \u001b[0;36mpandas._libs.lib.maybe_convert_numeric\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Unable to parse string \" \"",
      "\nDuring handling of the above exception, another exception occurred:\n",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-96-8b901fd52ce4>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'TotalCharges'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mpd\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mto_numeric\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'TotalCharges'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/tools/numeric.py\u001b[0m in \u001b[0;36mto_numeric\u001b[0;34m(arg, errors, downcast)\u001b[0m\n\u001b[1;32m    133\u001b[0m             \u001b[0mcoerce_numeric\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0;32mFalse\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0merrors\u001b[0m \u001b[0;32min\u001b[0m \u001b[0;34m(\u001b[0m\u001b[0;34m'ignore'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m'raise'\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32melse\u001b[0m \u001b[0;32mTrue\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    134\u001b[0m             values = lib.maybe_convert_numeric(values, set(),\n\u001b[0;32m--> 135\u001b[0;31m                                                coerce_numeric=coerce_numeric)\n\u001b[0m\u001b[1;32m    136\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    137\u001b[0m     \u001b[0;32mexcept\u001b[0m \u001b[0mException\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32mpandas/_libs/lib.pyx\u001b[0m in \u001b[0;36mpandas._libs.lib.maybe_convert_numeric\u001b[0;34m()\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: Unable to parse string \" \" at position 488"
     ]
    }
   ],
   "source": [
    "dataset['TotalCharges']=pd.to_numeric(dataset['TotalCharges'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "customerID                         4472-LVYGI\n",
       "tenure                                      0\n",
       "PhoneService                               No\n",
       "Contract                             Two year\n",
       "PaperlessBilling                          Yes\n",
       "PaymentMethod       Bank transfer (automatic)\n",
       "MonthlyCharges                          52.55\n",
       "TotalCharges                                 \n",
       "Churn                                      No\n",
       "gender                                 Female\n",
       "SeniorCitizen                              no\n",
       "Partner                                   Yes\n",
       "Dependents                                Yes\n",
       "MultipleLines                No phone service\n",
       "InternetService                           DSL\n",
       "OnlineSecurity                            Yes\n",
       "OnlineBackup                               No\n",
       "DeviceProtection                          Yes\n",
       "TechSupport                               Yes\n",
       "StreamingTV                               Yes\n",
       "StreamingMovies                            No\n",
       "Name: 488, dtype: object"
      ]
     },
     "execution_count": 97,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.loc[488]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset['TotalCharges']=dataset['TotalCharges'].replace(' ','NULL')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 99,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "11\n"
     ]
    }
   ],
   "source": [
    "count=0\n",
    "for i in dataset['TotalCharges']:\n",
    "    if i=='NULL':\n",
    "        count+=1\n",
    "print(count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=dataset[dataset['TotalCharges']!='NULL']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n"
     ]
    }
   ],
   "source": [
    "count=0\n",
    "for i in dataset['TotalCharges']:\n",
    "    if i=='NULL':\n",
    "        count+=1\n",
    "print(count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "    }\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>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7032.000000</td>\n",
       "      <td>7032.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>32.421786</td>\n",
       "      <td>64.798208</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>24.545260</td>\n",
       "      <td>30.085974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>35.587500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>70.350000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>55.000000</td>\n",
       "      <td>89.862500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>72.000000</td>\n",
       "      <td>118.750000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            tenure  MonthlyCharges\n",
       "count  7032.000000     7032.000000\n",
       "mean     32.421786       64.798208\n",
       "std      24.545260       30.085974\n",
       "min       1.000000       18.250000\n",
       "25%       9.000000       35.587500\n",
       "50%      29.000000       70.350000\n",
       "75%      55.000000       89.862500\n",
       "max      72.000000      118.750000"
      ]
     },
     "execution_count": 102,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset['TotalCharges']=pd.to_numeric(dataset['TotalCharges'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>tenure</th>\n",
       "      <th>MonthlyCharges</th>\n",
       "      <th>TotalCharges</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>7032.000000</td>\n",
       "      <td>7032.000000</td>\n",
       "      <td>7032.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>32.421786</td>\n",
       "      <td>64.798208</td>\n",
       "      <td>2283.300441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>24.545260</td>\n",
       "      <td>30.085974</td>\n",
       "      <td>2266.771362</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>18.250000</td>\n",
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       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>9.000000</td>\n",
       "      <td>35.587500</td>\n",
       "      <td>401.450000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>70.350000</td>\n",
       "      <td>1397.475000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>55.000000</td>\n",
       "      <td>89.862500</td>\n",
       "      <td>3794.737500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>72.000000</td>\n",
       "      <td>118.750000</td>\n",
       "      <td>8684.800000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            tenure  MonthlyCharges  TotalCharges\n",
       "count  7032.000000     7032.000000   7032.000000\n",
       "mean     32.421786       64.798208   2283.300441\n",
       "std      24.545260       30.085974   2266.771362\n",
       "min       1.000000       18.250000     18.800000\n",
       "25%       9.000000       35.587500    401.450000\n",
       "50%      29.000000       70.350000   1397.475000\n",
       "75%      55.000000       89.862500   3794.737500\n",
       "max      72.000000      118.750000   8684.800000"
      ]
     },
     "execution_count": 104,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['customerID', 'tenure', 'PhoneService', 'Contract', 'PaperlessBilling',\n",
       "       'PaymentMethod', 'MonthlyCharges', 'TotalCharges', 'Churn', 'gender',\n",
       "       'SeniorCitizen', 'Partner', 'Dependents', 'MultipleLines',\n",
       "       'InternetService', 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection',\n",
       "       'TechSupport', 'StreamingTV', 'StreamingMovies'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 105,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(dataset['tenure'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "could not convert string to float: 'No'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-107-957fac653c20>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0msns\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mkdeplot\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdataset\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m'PhoneService'\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m      2\u001b[0m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/seaborn/distributions.py\u001b[0m in \u001b[0;36mkdeplot\u001b[0;34m(data, data2, shade, vertical, kernel, bw, gridsize, cut, clip, legend, cumulative, shade_lowest, cbar, cbar_ax, cbar_kws, ax, **kwargs)\u001b[0m\n\u001b[1;32m    651\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0max\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    652\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 653\u001b[0;31m     \u001b[0mdata\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdata\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfloat64\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    654\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mdata2\u001b[0m \u001b[0;32mis\u001b[0m \u001b[0;32mnot\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    655\u001b[0m         \u001b[0;32mif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdata2\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mlist\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/generic.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors, **kwargs)\u001b[0m\n\u001b[1;32m   5689\u001b[0m             \u001b[0;31m# else, only a single dtype is given\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   5690\u001b[0m             new_data = self._data.astype(dtype=dtype, copy=copy, errors=errors,\n\u001b[0;32m-> 5691\u001b[0;31m                                          **kwargs)\n\u001b[0m\u001b[1;32m   5692\u001b[0m             \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_constructor\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mnew_data\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m__finalize__\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m   5693\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, **kwargs)\u001b[0m\n\u001b[1;32m    529\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    530\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 531\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mapply\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'astype'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    532\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    533\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mconvert\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/managers.py\u001b[0m in \u001b[0;36mapply\u001b[0;34m(self, f, axes, filter, do_integrity_check, consolidate, **kwargs)\u001b[0m\n\u001b[1;32m    393\u001b[0m                                             copy=align_copy)\n\u001b[1;32m    394\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 395\u001b[0;31m             \u001b[0mapplied\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mgetattr\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mb\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mf\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    396\u001b[0m             \u001b[0mresult_blocks\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0m_extend_blocks\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mapplied\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mresult_blocks\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    397\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/blocks.py\u001b[0m in \u001b[0;36mastype\u001b[0;34m(self, dtype, copy, errors, values, **kwargs)\u001b[0m\n\u001b[1;32m    532\u001b[0m     \u001b[0;32mdef\u001b[0m \u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mself\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0merrors\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;34m'raise'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvalues\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mNone\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;34m**\u001b[0m\u001b[0mkwargs\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    533\u001b[0m         return self._astype(dtype, copy=copy, errors=errors, values=values,\n\u001b[0;32m--> 534\u001b[0;31m                             **kwargs)\n\u001b[0m\u001b[1;32m    535\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    536\u001b[0m     def _astype(self, dtype, copy=False, errors='raise', values=None,\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/internals/blocks.py\u001b[0m in \u001b[0;36m_astype\u001b[0;34m(self, dtype, copy, errors, values, **kwargs)\u001b[0m\n\u001b[1;32m    631\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    632\u001b[0m                     \u001b[0;31m# _astype_nansafe works fine with 1-d only\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 633\u001b[0;31m                     \u001b[0mvalues\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mastype_nansafe\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mvalues\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mravel\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    634\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    635\u001b[0m                 \u001b[0;31m# TODO(extension)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/pandas/core/dtypes/cast.py\u001b[0m in \u001b[0;36mastype_nansafe\u001b[0;34m(arr, dtype, copy, skipna)\u001b[0m\n\u001b[1;32m    700\u001b[0m     \u001b[0;32mif\u001b[0m \u001b[0mcopy\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mis_object_dtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marr\u001b[0m\u001b[0;34m)\u001b[0m \u001b[0;32mor\u001b[0m \u001b[0mis_object_dtype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    701\u001b[0m         \u001b[0;31m# Explicit copy, or required since NumPy can't view from / to object.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 702\u001b[0;31m         \u001b[0;32mreturn\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mastype\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mTrue\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    703\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    704\u001b[0m     \u001b[0;32mreturn\u001b[0m \u001b[0marr\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mview\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: could not convert string to float: 'No'"
     ]
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(dataset['PhoneService'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(dataset['MonthlyCharges'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(dataset['TotalCharges'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 540x540 with 12 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(dataset)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Yes    6352\n",
       "No      680\n",
       "Name: PhoneService, dtype: int64"
      ]
     },
     "execution_count": 111,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['PhoneService'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAEKCAYAAAAFJbKyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAFN1JREFUeJzt3X20XXV95/H3ByKitkowFwYJNLSmTnGKyKRI68x0Kk54mNYwVhRXWzKUmXRmUa0z01acaRuFskbrWCut0oUSG1hOAS0OaRcV0vjQOooQhIan0kS0kAWF2ESsWnHA7/xxfhcO4d6b80vvuTfhvl9rnXX2/u7f3ud7WEk+7MeTqkKSpFEdMN8NSJL2LwaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQui+a7gXFYsmRJLVu2bL7bkKT9yi233PLVqprY07hnZHAsW7aMzZs3z3cbkrRfSfI3o4zzUJUkqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpyzPyznHpmey+C354vlvQPujo37h9zj7LPQ5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1GWtwJDkkyceS/FWSu5P8aJJDk2xMsrW9L25jk+TiJNuSbElywtB2VrfxW5OsHmfPkqSZjXuP433AJ6rqnwIvA+4Gzgc2VdVyYFObBzgNWN5ea4BLAJIcCqwFXgGcCKydDBtJ0twbW3AkeT7wr4DLAKrqO1X1NWAVsL4NWw+c0aZXAZfXwI3AIUmOAE4BNlbVzqraBWwETh1X35KkmY1zj+P7gR3Ah5PcmuRDSZ4HHF5VDwK098Pa+COB+4fW395q09WfIsmaJJuTbN6xY8fsfxtJEjDe4FgEnABcUlUvB77Jk4elppIpajVD/amFqkurakVVrZiYmNibfiVJIxhncGwHtlfVF9r8xxgEyUPtEBTt/eGh8UcNrb8UeGCGuiRpHowtOKrqb4H7k7yklU4G7gI2AJNXRq0Grm3TG4Cz29VVJwGPtENZ1wMrkyxuJ8VXtpokaR6M+7HqbwI+kuQg4F7gHAZhdXWSc4H7gDPb2OuA04FtwLfaWKpqZ5ILgZvbuAuqaueY+5YkTWOswVFVtwErplh08hRjCzhvmu2sA9bNbneSpL3hneOSpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6jLW4EjylSS3J7ktyeZWOzTJxiRb2/viVk+Si5NsS7IlyQlD21ndxm9NsnqcPUuSZjYXexw/UVXHV9WKNn8+sKmqlgOb2jzAacDy9loDXAKDoAHWAq8ATgTWToaNJGnuzcehqlXA+ja9HjhjqH55DdwIHJLkCOAUYGNV7ayqXcBG4NS5blqSNDDu4CjghiS3JFnTaodX1YMA7f2wVj8SuH9o3e2tNl1dkjQPFo15+6+sqgeSHAZsTPJXM4zNFLWaof7UlQfBtAbg6KOP3pteJUkjGOseR1U90N4fBj7O4BzFQ+0QFO394TZ8O3DU0OpLgQdmqO/+WZdW1YqqWjExMTHbX0WS1IwtOJI8L8n3Tk4DK4E7gA3A5JVRq4Fr2/QG4Ox2ddVJwCPtUNb1wMoki9tJ8ZWtJkmaB+M8VHU48PEkk5/zv6vqE0luBq5Oci5wH3BmG38dcDqwDfgWcA5AVe1MciFwcxt3QVXtHGPfkqQZjC04qupe4GVT1P8OOHmKegHnTbOtdcC62e5RktTPO8clSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1GXtwJDkwya1J/qTNH5PkC0m2JrkqyUGt/uw2v60tXza0jbe1+j1JThl3z5Kk6c3FHscvAXcPzb8LeG9VLQd2Aee2+rnArqp6MfDeNo4kxwJnAS8FTgU+kOTAOehbkjSFsQZHkqXAvwU+1OYDvAr4WBuyHjijTa9q87TlJ7fxq4Arq+rRqvoysA04cZx9S5KmN+49jt8BfhX4bpt/IfC1qnqszW8HjmzTRwL3A7Tlj7TxT9SnWOcJSdYk2Zxk844dO2b7e0iSmrEFR5KfBB6uqluGy1MMrT0sm2mdJwtVl1bViqpaMTEx0d2vJGk0i8a47VcCr0lyOnAw8HwGeyCHJFnU9iqWAg+08duBo4DtSRYBLwB2DtUnDa8jSZpjY9vjqKq3VdXSqlrG4OT2J6vqZ4BPAa9rw1YD17bpDW2etvyTVVWtfla76uoYYDlw07j6liTNbJx7HNN5K3Blkt8EbgUua/XLgCuSbGOwp3EWQFXdmeRq4C7gMeC8qnp87tuWJMEcBUdVfRr4dJu+lymuiqqqbwNnTrP+RcBF4+tQkjQq7xyXJHUxOCRJXQwOSVIXg0OS1GWk4EiyaZSaJOmZb8arqpIcDDwXWJJkMU/exf184EVj7k2StA/a0+W4vwC8hUFI3MKTwfF14P1j7EuStI+aMTiq6n3A+5K8qap+d456kiTtw0a6AbCqfjfJjwHLhtepqsvH1JckaR81UnAkuQL4AeA2YPJxHwUYHJK0wIz6yJEVwLHtoYOSpAVs1Ps47gD+yTgbkSTtH0bd41gC3JXkJuDRyWJVvWYsXUmS9lmjBsfbx9mEJGn/MepVVZ8ZdyOSpP3DqFdV/T1P/s73QcCzgG9W1fPH1Zgkad806h7H9w7PJzmDKX6MSZL0zLdXT8etqv8DvGqWe5Ek7QdGPVT12qHZAxjc1+E9HZK0AI16VdVPDU0/BnwFWDXr3UiS9nmjnuM4Z9yNSJL2D6P+kNPSJB9P8nCSh5L8UZKl425OkrTvGfXk+IeBDQx+l+NI4I9bTZK0wIwaHBNV9eGqeqy9/gCYmGmFJAcnuSnJXya5M8k7Wv2YJF9IsjXJVUkOavVnt/ltbfmyoW29rdXvSXLKXn1TSdKsGDU4vprkZ5Mc2F4/C/zdHtZ5FHhVVb0MOB44NclJwLuA91bVcmAXcG4bfy6wq6peDLy3jSPJscBZwEuBU4EPJDlw9K8oSZpNowbHzwOvB/4WeBB4HTDjCfMa+EabfVZ7FYP7Pz7W6uuBM9r0qjZPW35ykrT6lVX1aFV9GdiGNx9K0rwZNTguBFZX1URVHcYgSN6+p5Xa3sltwMPARuBLwNeq6rE2ZDuDcya09/sB2vJHgBcO16dYR5I0x0YNjuOqatfkTFXtBF6+p5Wq6vGqOh5YymAv4YemGtbeM82y6epPkWRNks1JNu/YsWNPrUmS9tKowXFAksWTM0kOZfSbB6mqrwGfBk4CDkkyue5S4IE2vR04qm1/EfACYOdwfYp1hj/j0qpaUVUrJiZmPG8vSfpHGDU43gN8LsmFSS4APgf81kwrJJlIckibfg7wauBu4FMMzpEArAaubdMb2jxt+SfbT9VuAM5qV10dAywHbhqxb0nSLBv1zvHLk2xmcGI7wGur6q49rHYEsL5dAXUAcHVV/UmSu4Ark/wmcCtwWRt/GXBFkm0M9jTOap99Z5KrgbsYPO7kvKp6vOtbSpJmTc/hprsY/OM96vgtTHEepKruZYqroqrq28CZ02zrIuCiUT9bkjQ+e/VYdUnSwmVwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKnL2IIjyVFJPpXk7iR3JvmlVj80ycYkW9v74lZPkouTbEuyJckJQ9ta3cZvTbJ6XD1LkvZsnHscjwH/rap+CDgJOC/JscD5wKaqWg5savMApwHL22sNcAkMggZYC7wCOBFYOxk2kqS5N7bgqKoHq+qLbfrvgbuBI4FVwPo2bD1wRpteBVxeAzcChyQ5AjgF2FhVO6tqF7AROHVcfUuSZjYn5ziSLANeDnwBOLyqHoRBuACHtWFHAvcPrba91aarS5LmwdiDI8n3AH8EvKWqvj7T0ClqNUN9989Zk2Rzks07duzYu2YlSXs01uBI8iwGofGRqrqmlR9qh6Bo7w+3+nbgqKHVlwIPzFB/iqq6tKpWVNWKiYmJ2f0ikqQnjPOqqgCXAXdX1W8PLdoATF4ZtRq4dqh+dru66iTgkXYo63pgZZLF7aT4ylaTJM2DRWPc9iuBnwNuT3Jbq/134J3A1UnOBe4DzmzLrgNOB7YB3wLOAaiqnUkuBG5u4y6oqp1j7FuSNIOxBUdVfZapz08AnDzF+ALOm2Zb64B1s9edJGlveee4JKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLmMLjiTrkjyc5I6h2qFJNibZ2t4Xt3qSXJxkW5ItSU4YWmd1G781yepx9StJGs049zj+ADh1t9r5wKaqWg5savMApwHL22sNcAkMggZYC7wCOBFYOxk2kqT5MbbgqKo/B3buVl4FrG/T64EzhuqX18CNwCFJjgBOATZW1c6q2gVs5OlhJEmaQ3N9juPwqnoQoL0f1upHAvcPjdveatPVnybJmiSbk2zesWPHrDcuSRrYV06OZ4pazVB/erHq0qpaUVUrJiYmZrU5SdKT5jo4HmqHoGjvD7f6duCooXFLgQdmqEuS5slcB8cGYPLKqNXAtUP1s9vVVScBj7RDWdcDK5MsbifFV7aaJGmeLBrXhpP8IfCvgSVJtjO4OuqdwNVJzgXuA85sw68DTge2Ad8CzgGoqp1JLgRubuMuqKrdT7hLkubQ2IKjqt44zaKTpxhbwHnTbGcdsG4WW5Mk/SPsKyfHJUn7CYNDktTF4JAkdTE4JEldDA5JUpexXVW1v/vnv3L5fLegfdAt7z57vluQ5p17HJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC77TXAkOTXJPUm2JTl/vvuRpIVqvwiOJAcC7wdOA44F3pjk2PntSpIWpv0iOIATgW1VdW9VfQe4Elg1zz1J0oK0vwTHkcD9Q/PbW02SNMcWzXcDI8oUtXrKgGQNsKbNfiPJPWPvauFYAnx1vpvYF+R/rZ7vFvRU/tmctHaqfya7fd8og/aX4NgOHDU0vxR4YHhAVV0KXDqXTS0USTZX1Yr57kPanX8258f+cqjqZmB5kmOSHAScBWyY554kaUHaL/Y4quqxJL8IXA8cCKyrqjvnuS1JWpD2i+AAqKrrgOvmu48FykOA2lf5Z3MepKr2PEqSpGZ/OcchSdpHGBx6QpJK8p6h+V9O8vZ5bEkLXAY+m+S0odrrk3xiPvta6AwODXsUeG2SJfPdiARQg2Pp/wn47SQHJ3kecBFw3vx2trAZHBr2GIOTjf9l9wVJvi/JpiRb2vvRc9+eFqKqugP4Y+CtwFrg8qr6UpLVSW5KcluSDyQ5IMmiJFckuT3JHUnePL/dPzPtN1dVac68H9iS5Ld2q/8eg7+w65P8PHAxcMacd6eF6h3AF4HvACuS/DPg3wE/1i7Xv5TB/V1fApZU1Q8DJDlkvhp+JjM49BRV9fUklwNvBv5haNGPAq9t01cAuweLNDZV9c0kVwHfqKpHk7wa+BFgcxKA5zB4nt31wEuSvI/B5fs3zFfPz2QGh6byOwz+7+7DM4zxOm7Nte+2FwyeX7euqn5990FJjmPwEwxvBn6aJ59hp1niOQ49TVXtBK4Gzh0qf47BoQCAnwE+O9d9SUP+DHj95IUcSV6Y5OgkEwzuT/sog/MhJ8xnk89U7nFoOu8BfnFo/s3AuiS/AuwAzpmXriSgqm5P8g7gz5IcAPw/BldfPQ5clsHxq2JwQl2zzDvHJUldPFQlSepicEiSuhgckqQuBockqYvBIUnqYnBoQUnyeHu20R1JPprkuUmWJbljzJ97QJKL2+fenuTmJMfM0rY/lOTY2diWNArv49BC8w9VdTxAko8wuPb/mjn43DcALwKOq6rvJlkKfHPUlZMcWFWPT7Wsqv7DLPUojcQ9Di1kfwG8uE0fmOSDSe5MckOS5wAkOT7Jje2pwB9PsrjVP53kXe3prH+d5F+2+oFJ3t32KLYk+YW2/SOAB6vquwBVtb2qdrV1Vib5fJIvtr2g72n1ryT5jSSfBX41yU2Tjbe9pC1Dvaxo06e27fxlkk2t9rwk61pPtyZZNdb/qnrGMzi0ICVZxOB5Rre30nLg/VX1UuBrDJ5xBHA58NaqOq6NXTu0mUVVdSLwlqH6ucAjVfUjDB7C9x/bIamrgZ9qh8nek+TlrY8lwK8Br66qE4DNwH8d+oxvV9W/qKr/CRyU5Ptb/Q1tm8PfaQL4IPDTVfUy4My26H8An2w9/QTw7va7FtJe8VCVFprnJLmtTf8FcBmDQ0hfrqrJ+i3AsiQvAA6pqs+0+nrgo0PbumZ4fJteCRyX5HVt/gXA8qq6IclLgFe116YkZzJ4quuxwP9tT3k9CPj80GdcNTR9NfB64J0MguMNu323k4A/r6ovwxPPHJvs6TVJfrnNHwwcDdw95X8haQ8MDi00T5zjmNT+wX50qPQ4g3/Q92Ryncd58u9SgDdV1fW7D66qR4E/Bf40yUMMfs/kBmBjVb1xms8YPg9yFfDRJNcMNldbdxs7+Xym3YXBXsg9I3wnaY88VCVNo6oeAXZNnr8Afg74zAyrwOD3IP5zkmcBJPnBdo7hhCQvarUDgOOAvwFuBF6Z5MVt2XOT/OA0/XyJQUj9Ok/dE5n0eeDHJ6/WSnLoUE9vag/+Y/IwmbS33OOQZrYa+P0kzwXuZc9PBf4Qg8NWX2z/UO9gsGdxGPDBJM9u424Cfq+qvp3k3wN/OLTs14C/nmb7VwHvBp52KW9V7UiyBrimhdPDwL8BLmTwGytbWk9fAX5yD99DmpZPx5UkdfFQlSSpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLv8fXiiKkJPLINoAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['PhoneService'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Month-to-month    3875\n",
       "Two year          1685\n",
       "One year          1472\n",
       "Name: Contract, dtype: int64"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['Contract'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAEKCAYAAAAFJbKyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAG4xJREFUeJzt3Xu0XnV95/H3R0BQvHCLFhOYMBinBdtGPSIt7RShcqtTsMUKrRopq+msgpfewZkRi9KlUy2jtOLEEi4uNVIVzVBaTLlI0XJJMFwCUlKkEqASLqLUJS3xO3/s35HHk3PbMc85OeT9WutZZ+/v/u39/M55zjmfZ99+T6oKSZKm6xmz3QFJ0txicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1IvBIUnqxeCQJPWy47CfIMkOwGrgvqp6bZL9gBXAHsBNwJuq6t+T7AxcBLwCeBh4Q1Xd07ZxOnAysAl4W1VdPtlz7rXXXrVw4cIhfUeS9PS0Zs2ah6pq3lTthh4cwNuBO4Dntfn3A2dX1YokH6ULhHPb10er6sVJTmjt3pDkAOAE4EDgRcDfJ3lJVW2a6AkXLlzI6tWrh/cdSdLTUJJ/mU67oR6qSrIA+CXgr9p8gMOAz7QmFwLHtelj2zxt+eGt/bHAiqp6oqq+DqwHDhpmvyVJExv2OY7/A/wR8P02vyfwrap6ss1vAOa36fnAvQBt+WOt/Q/q46wjSZphQwuOJK8FHqyqNYPlcZrWFMsmW2fw+ZYmWZ1k9caNG3v3V5I0PcPc4zgE+OUk99CdDD+Mbg9ktySj51YWAPe36Q3APgBt+fOBRwbr46zzA1W1rKpGqmpk3rwpz+1IkrbQ0IKjqk6vqgVVtZDu5PaVVfUbwFXA8a3ZEuALbXplm6ctv7K6DwtZCZyQZOd2RdYi4IZh9VuSNLmZuKpqrD8GViR5L/BV4LxWPw/4eJL1dHsaJwBU1bokFwO3A08Cp0x2RZUkabjydPwEwJGRkfJyXEnqJ8maqhqZqp13jkuSejE4JEm9zMY5jm3OK/7wotnuwtPemj9782x3QdJW4h6HJKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF6GFhxJdklyQ5Kbk6xL8ietfkGSrydZ2x6LWz1JPpxkfZJbkrx8YFtLktzVHkuG1WdJ0tSG+UFOTwCHVdXjSXYCrk3yt23ZH1bVZ8a0PxpY1B6vAs4FXpVkD+AMYAQoYE2SlVX16BD7LkmawND2OKrzeJvdqT1qklWOBS5q610H7JZkb+BIYFVVPdLCYhVw1LD6LUma3FDPcSTZIcla4EG6f/7Xt0VntcNRZyfZudXmA/cOrL6h1SaqS5JmwVCDo6o2VdViYAFwUJKXAqcDPw68EtgD+OPWPONtYpL6D0myNMnqJKs3bty4VfovSdrcjFxVVVXfAq4GjqqqB9rhqCeA84GDWrMNwD4Dqy0A7p+kPvY5llXVSFWNzJs3bwjfhSQJhntV1bwku7XpZwG/CHytnbcgSYDjgNvaKiuBN7erqw4GHquqB4DLgSOS7J5kd+CIVpMkzYJhXlW1N3Bhkh3oAuriqro0yZVJ5tEdgloL/PfW/jLgGGA98F3gJICqeiTJe4AbW7szq+qRIfZbkjSJoQVHVd0CvGyc+mETtC/glAmWLQeWb9UOSpK2iHeOS5J6MTgkSb0YHJKkXgwOSVIvBockqReDQ5LUi8EhSerF4JAk9WJwSJJ6MTgkSb0YHJKkXgwOSVIvBockqReDQ5LUi8EhSerF4JAk9WJwSJJ6MTgkSb0MLTiS7JLkhiQ3J1mX5E9afb8k1ye5K8mnkzyz1Xdu8+vb8oUD2zq91e9McuSw+ixJmtow9zieAA6rqp8GFgNHJTkYeD9wdlUtAh4FTm7tTwYeraoXA2e3diQ5ADgBOBA4CvhIkh2G2G9J0iSGFhzVebzN7tQeBRwGfKbVLwSOa9PHtnna8sOTpNVXVNUTVfV1YD1w0LD6LUma3FDPcSTZIcla4EFgFfDPwLeq6snWZAMwv03PB+4FaMsfA/YcrI+zzuBzLU2yOsnqjRs3DuPbkSQx5OCoqk1VtRhYQLeX8BPjNWtfM8Gyiepjn2tZVY1U1ci8efO2tMuSpCnMyFVVVfUt4GrgYGC3JDu2RQuA+9v0BmAfgLb8+cAjg/Vx1pEkzbBhXlU1L8lubfpZwC8CdwBXAce3ZkuAL7TplW2etvzKqqpWP6FddbUfsAi4YVj9liRNbsepm2yxvYEL2xVQzwAurqpLk9wOrEjyXuCrwHmt/XnAx5Osp9vTOAGgqtYluRi4HXgSOKWqNg2x35KkSQwtOKrqFuBl49TvZpyroqrqe8DrJ9jWWcBZW7uPkqT+vHNcktSLwSFJ6sXgkCT1YnBIknoxOCRJvRgckqReDA5JUi8GhySpF4NDktSLwSFJ6sXgkCT1YnBIknoxOCRJvRgckqReDA5JUi8GhySpF4NDktSLwSFJ6mVowZFknyRXJbkjybokb2/1dye5L8na9jhmYJ3Tk6xPcmeSIwfqR7Xa+iSnDavPkqSpDe0zx4Engd+vqpuSPBdYk2RVW3Z2VX1gsHGSA4ATgAOBFwF/n+QlbfFfAq8BNgA3JllZVbcPse+SpAkMLTiq6gHggTb9nSR3APMnWeVYYEVVPQF8Pcl64KC2bH1V3Q2QZEVra3BI0iyYkXMcSRYCLwOub6VTk9ySZHmS3VttPnDvwGobWm2i+tjnWJpkdZLVGzdu3MrfgSRp1NCDI8lzgM8C76iqbwPnAvsDi+n2SD442nSc1WuS+g8XqpZV1UhVjcybN2+r9F2StLlhnuMgyU50ofGJqvocQFV9c2D5x4BL2+wGYJ+B1RcA97fpieqSpBk2zKuqApwH3FFVfz5Q33ug2euA29r0SuCEJDsn2Q9YBNwA3AgsSrJfkmfSnUBfOax+S5ImN8w9jkOANwG3Jlnbau8ETkyymO5w0z3AbwNU1bokF9Od9H4SOKWqNgEkORW4HNgBWF5V64bYb0nSJIZ5VdW1jH9+4rJJ1jkLOGuc+mWTrSdJmjneOS5J6sXgkCT1YnBIknoxOCRJvRgckqReDA5JUi8GhySpl2kFR5IrplOTJD39TXoDYJJdgGcDe7VRbEdv6Hse3WdmSJK2M1PdOf7bwDvoQmINTwXHt+k+XEmStJ2ZNDiq6kPAh5K8tarOmaE+SZK2YdMaq6qqzknys8DCwXWq6qIh9UuStI2aVnAk+Tjdhy+tBTa1cgEGhyRtZ6Y7Ou4IcEBVbfbJe5Kk7ct07+O4DfixYXZEkjQ3THePYy/g9iQ3AE+MFqvql4fSK0nSNmu6wfHuYXZCkjR3TOtQVVV9abzHZOsk2SfJVUnuSLIuydtbfY8kq5Lc1b7u3upJ8uEk65PckuTlA9ta0trflWTJj/INS5J+NNMdcuQ7Sb7dHt9LsinJt6dY7Ung96vqJ4CDgVOSHACcBlxRVYuAK9o8wNHAovZYCpzbnnsP4AzgVcBBwBmjYSNJmnnT3eN4blU9rz12AX4V+Isp1nmgqm5q098B7gDmA8cCF7ZmFwLHteljgYuqcx2wW5K9gSOBVVX1SFU9CqwCjur1XUqStpotGh23qj4PHDbd9kkWAi8DrgdeWFUPtO08ALygNZsP3Duw2oZWm6guSZoF070B8FcGZp9Bd1/HtO7pSPIc4LPAO6rq20kmbDpOrSapj32epXSHuNh3332n0zVJ0haY7lVV/21g+kngHrpDS5NKshNdaHyiqj7Xyt9MsndVPdAORT3Y6huAfQZWXwDc3+qHjqlfPfa5qmoZsAxgZGTEGxUlaUimO1bVSX03nG7X4jzgjqr684FFK4ElwPva1y8M1E9NsoLuRPhjLVwuB/504IT4EcDpffsjSdo6pnuoagFwDnAI3WGia4G3V9WGSVY7BHgTcGuSta32TrrAuDjJycA3gNe3ZZcBxwDrge8CJwFU1SNJ3gPc2NqdWVWPTO/bkyRtbdM9VHU+8Eme+if/xlZ7zUQrVNW1jH9+AuDwcdoXcMoE21oOLJ9mXyVJQzTdq6rmVdX5VfVke1wAzBtivyRJ26jpBsdDSd6YZIf2eCPw8DA7JknaNk03OH4T+DXgX4EHgONp5yAkSduX6Z7jeA+wpN25PToMyAfoAkWStB2Z7h7HT42GBnRXOtHdCS5J2s5MNzieMTiwYNvjmO7eiiTpaWS6//w/CHwlyWfo7uP4NeCsofVKkrTNmu6d4xclWU03sGGAX6mq24faM0nSNmnah5taUBgWkrSd26Jh1SVJ2y+DQ5LUi8EhSerFS2olzZpDzjlktrvwtPflt355q2/TPQ5JUi8GhySpF4NDktSLwSFJ6sXgkCT1MrTgSLI8yYNJbhuovTvJfUnWtscxA8tOT7I+yZ1JjhyoH9Vq65OcNqz+SpKmZ5h7HBcAR41TP7uqFrfHZQBJDgBOAA5s63xk9NMGgb8EjgYOAE5sbSVJs2Ro93FU1TVJFk6z+bHAiqp6Avh6kvXAQW3Z+qq6GyDJitbWMbMkaZbMxjmOU5Pc0g5ljX7Gx3zg3oE2G1ptorokaZbMdHCcC+wPLKb77PIPtnrGaVuT1DeTZGmS1UlWb9y4cWv0VZI0jhkdcqSqvjk6neRjwKVtdgOwz0DTBcD9bXqi+thtLwOWAYyMjIwbLnr6+caZPznbXXja2/ddt852F7SNmdE9jiR7D8y+Dhi94molcEKSnZPsBywCbgBuBBYl2S/JM+lOoK+cyT5Lkn7Y0PY4knwKOBTYK8kG4Azg0CSL6Q433QP8NkBVrUtyMd1J7yeBU6pqU9vOqcDlwA7A8qpaN6w+S5KmNsyrqk4cp3zeJO3PYpzPMW+X7F62FbsmSfoReOe4JKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1MvQgiPJ8iQPJrltoLZHklVJ7mpfd2/1JPlwkvVJbkny8oF1lrT2dyVZMqz+SpKmZ5h7HBcAR42pnQZcUVWLgCvaPMDRwKL2WAqcC13QAGcArwIOAs4YDRtJ0uwYWnBU1TXAI2PKxwIXtukLgeMG6hdV5zpgtyR7A0cCq6rqkap6FFjF5mEkSZpBM32O44VV9QBA+/qCVp8P3DvQbkOrTVTfTJKlSVYnWb1x48at3nFJUmdbOTmecWo1SX3zYtWyqhqpqpF58+Zt1c5Jkp4y08HxzXYIivb1wVbfAOwz0G4BcP8kdUnSLJnp4FgJjF4ZtQT4wkD9ze3qqoOBx9qhrMuBI5Ls3k6KH9FqkqRZsuOwNpzkU8ChwF5JNtBdHfU+4OIkJwPfAF7fml8GHAOsB74LnARQVY8keQ9wY2t3ZlWNPeEuSZpBQwuOqjpxgkWHj9O2gFMm2M5yYPlW7Jok6UewrZwclyTNEQaHJKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSL7MSHEnuSXJrkrVJVrfaHklWJbmrfd291ZPkw0nWJ7klyctno8+SpM5s7nG8uqoWV9VImz8NuKKqFgFXtHmAo4FF7bEUOHfGeypJ+oFt6VDVscCFbfpC4LiB+kXVuQ7YLcnes9FBSdLsBUcBX0yyJsnSVnthVT0A0L6+oNXnA/cOrLuh1SRJs2DHWXreQ6rq/iQvAFYl+dokbTNOrTZr1AXQUoB999136/RSkrSZWdnjqKr729cHgUuAg4Bvjh6Cal8fbM03APsMrL4AuH+cbS6rqpGqGpk3b94wuy9J27UZD44kuyZ57ug0cARwG7ASWNKaLQG+0KZXAm9uV1cdDDw2ekhLkjTzZuNQ1QuBS5KMPv8nq+rvktwIXJzkZOAbwOtb+8uAY4D1wHeBk2a+y5KkUTMeHFV1N/DT49QfBg4fp17AKTPQNUnSNGxLl+NKkuYAg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1IvBIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1MucCY4kRyW5M8n6JKfNdn8kaXs1J4IjyQ7AXwJHAwcAJyY5YHZ7JUnbpzkRHMBBwPqquruq/h1YARw7y32SpO3SXAmO+cC9A/MbWk2SNMN2nO0OTFPGqdUPNUiWAkvb7ONJ7hx6r2bPXsBDs92JPvKBJbPdhW3J3Hr9zhjvz2+7NbdeOyBv6/X6/afpNJorwbEB2GdgfgFw/2CDqloGLJvJTs2WJKuramS2+6Et4+s3d/nadebKoaobgUVJ9kvyTOAEYOUs90mStktzYo+jqp5McipwObADsLyq1s1ytyRpuzQnggOgqi4DLpvtfmwjtotDck9jvn5zl68dkKqaupUkSc1cOcchSdpGGBwTSFJJPj4wv2OSjUku3cLt7ZbkdwbmD53OtpIsTPLrW/Kcw5DkLUleNDB/T5K9ZrNPw5JkQZIvJLkryT8n+VC7OEPbuCR7JlnbHv+a5L6BeV/DH5HBMbF/A16a5Flt/jXAfT/C9nYDfmfKVptbCGwzwQG8BXjRVI3muiQBPgd8vqoWAS8BngOcNasdm0SSOXPOctiq6uGqWlxVi4GPAmePzrfRJ7Y5c+n1Mzgm97fAL7XpE4FPjS5IskeSzye5Jcl1SX6q1d+dZHmSq5PcneRtbZX3Afu3dzx/1mrPSfKZJF9L8on2z2qs9wE/39b73SS7JDk/ya1Jvprk1eN1vD3/2UmuSXJHklcm+Vx79/zegXa/l+S29nhHqy1s63wsybokX0zyrCTHAyPAJ1p/RkP1rUluan368S36SW97DgO+V1XnA1TVJuB3gd9M8uy25/W5JH/Xfqb/e3TFJEck+cf2M/nrJM8Z3HCS/ZPcNDC/KMmaNv2KJF9KsibJ5Un2bvXfSnJjkpuTfDbJs1v9giR/nuQq4P3D/qHMdUneObrnn+ScJF9s00cmuaBNv7H9Lt+W5E/H2caRSf56YP7oJBcPTI++9p9Osmur/0l7/W5L8tHRv/Uk1yY5K8k1wKnD/v63mqryMc4DeBz4KeAzwC7AWuBQ4NK2/BzgjDZ9GLC2Tb8b+AqwM91dpg8DO9HtOdw2sP1DgcfobmZ8BvCPwM+N048fPGeb/33g/Db948A3gF3GWe9q4P1t+u10N0zu3fq1AdgTeAVwK7Ar3bvpdcDLWl+fBBa39S8G3jiw3ZGB57kHeGub/h3gr2b7tdtKr//b6N6ljq1/tf1evAW4G3h++/34F7qbVPcCrgF2be3/GHjXONu5auDn+6fAW9vvyVeAea3+BrpLzwH2HFj3vQM/8wuAS4EdZvtntq0+2t/kH7TpnwM+1aa/DNxAd3Xpe4CT29/jPe113An4EvDaMdt7BnDn6GvS/j6OBl7Q2j+71f8H8M42vUf7Gro3oEe3+WuBc2b7Z9T34R7HJKrqFrp/oiey+aXAPwd8vLW7EtgzyfPbsr+pqieq6iHgQeCFEzzFDVW1oaq+TxdMC6fRrcHn/RrdP6yXTNB29CbJW4F1VfVAVT1B9w9vn7atS6rq36rqcbpDMz/f1vl6Va1t02um6NvnptluLgljhrUZp35FVT1WVd8DbqcbruFguhGcv5xkLbCE8Ydx+CvgpHQjP78B+CTwX4CXAqvauv+T7h8ZdIdN/yHJrcBvAAcObOuvq9sj0tRuBF6ZZDe6N4c30r1Z+nngH4BXAVdW1UNV9R90r8t/HdxA+3v9JPDrSfagewP2ReBn6V77r7TX7zd46u/h8CQ3ADcDv8APv34rhvB9DtWcOaY2i1YCH6B757/nQH2y8bOeGKhtYuKf82btkrwK+L+t9i7g22PWGXfgmSTn0/0B3F9Vx4zZ/vfHPNf3W58mG8RmbN+eNVHDgbaTfa9zzTrgVwcLSZ5HF7j/TPfPYrzXOcCqqjpxiu1/FjgDuBJYU1UPp7voYF1V/cw47S8Ajquqm5O8he73cdS/TfN72u5V1RNJ7gfeTLfH8U/A4cC+VfVPo4ecp2E53WsI8Omq2tQOP/1dVb1psGE7rPgXwMur6r52qHiXgSZz7vVzj2Nqy4Ezq+rWMfVr6N5RkORQ4KGqGvtPftB3gOdO9WRVdX09dRJv5TjrDT7vS4B9gTur6qS2zjGbb3VC1wDHtWP2uwKvo3vXNZlpfR9PA1cAz07yZvjBZ8J8ELigqr47yXrXAYckeXFb79ntdfohbS/lcuBc4PxWvhOYl+Rn2ro7JRl9Z/pc4IEkO9Fef22xa4A/aF//ATiFbm8Zutfv1emuytqRbnijL43dQFXdSzfY4Wl0oQ7dYcZfSPKfAZLsmmQR3Zuu7wMPJXkuY96QzEUGxxTaoaQPjbPo3cBIklvoTmBPOvxrVT1Md/jitjx1cnw6bgGebCdFfxf4CLBDO2TxaeAt7fBTb1V1E90v/Q3A9XTnJ746xWoXAB8dc3L8aae6A9CvA16f5C66d6bfA945xXob6c5/fKr9blxHdy5qPJ+g20v9Ylv334HjgfcnuZnu8OXPtrb/i+41WgV8bYu/MUEXFi8Erq+q+4D/aDWqagPdnv7VdD//66rqbybYzifpDun+U1v3m3TnST7dXr+vAC9pf/sXArcBl9C9jnOad45LsyTJHwDPr6r/Ndt9UX9JPgr8Y1VdONt9mWkGhzQLklwC7A8c1i6i0BzSTn4/ChxZ2+h9IcNkcEiSevEchySpF4NDktSLwSFJ6sXgkKaQ5MeSrEg3Qu7tSS4b796MaWznHaNjTG2FPm1ToyZr+2JwSJNodwNfAlxdVftX1QF093JMNIzMZN4BjBsc7QbDPhaybY2arO2IwSFN7tXAf1TVR0cLbQyva5P8Wbuh89Ykb4AffM7K1Rkz6nG6UZJfBFzVRrIlyeNJzkxyPfAzSd41MILqsoERVF+c5O/bTaA3JdmfMaMmz/DPRNu5p8u4QtKwvJSnhqMY9CvAYuCn6UZSvbENjQ3dmGEH0o1I/GXgkKr6cJLfA149cN/GrnQjJr8LIMntVXVmm/448Frg/9HdYf6+qrokyS50b/hOoxvx9bVb/TuWpuAeh7RlRofn3tSGmvgS8Mq2bLqjHm/iqYHyoBsj6fo2nMxhwIFtbKP5VXUJdGNcTTFWljR0Boc0uXV0I+GO1Wdk4Yn27L83Ohx625P4CHB8Vf0k8DG6EVQnex5pVhgc0uSuBHZO8lujhSSvpBtu4g1Jdkgyj+4zG26YYluTjSw8Osz2Q+k+MfB4gDbi8oYkx7Xn3rldmbW9jFKsbZDBIU1iYJTc17TLcdfRjYz8SbqRi2+mC5c/qqp/nWJzy4C/HT05PuZ5vkW3l3Er8Hm6Dxga9SbgbW203a8AP8bmoyZLM8axqiRJvbjHIUnqxeCQJPVicEiSejE4JEm9GBySpF4MDklSLwaHJKkXg0OS1Mv/ByYDZXCRLs84AAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['Contract'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 115,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Yes    4168\n",
       "No     2864\n",
       "Name: PaperlessBilling, dtype: int64"
      ]
     },
     "execution_count": 115,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['PaperlessBilling'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['PaperlessBilling'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Electronic check             2365\n",
       "Mailed check                 1604\n",
       "Bank transfer (automatic)    1542\n",
       "Credit card (automatic)      1521\n",
       "Name: PaymentMethod, dtype: int64"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['PaymentMethod'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['PaymentMethod'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Male      3549\n",
       "Female    3483\n",
       "Name: gender, dtype: int64"
      ]
     },
     "execution_count": 119,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['gender'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['gender'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "no     5890\n",
       "yes    1142\n",
       "Name: SeniorCitizen, dtype: int64"
      ]
     },
     "execution_count": 121,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['SeniorCitizen'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['SeniorCitizen'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No     3639\n",
       "Yes    3393\n",
       "Name: Partner, dtype: int64"
      ]
     },
     "execution_count": 123,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['Partner'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['Partner'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 125,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No     4933\n",
       "Yes    2099\n",
       "Name: Dependents, dtype: int64"
      ]
     },
     "execution_count": 125,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['Dependents'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 126,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['Dependents'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 127,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No                  3385\n",
       "Yes                 2967\n",
       "No phone service     680\n",
       "Name: MultipleLines, dtype: int64"
      ]
     },
     "execution_count": 127,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['MultipleLines'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['MultipleLines'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Fiber optic    3096\n",
       "DSL            2416\n",
       "No             1520\n",
       "Name: InternetService, dtype: int64"
      ]
     },
     "execution_count": 129,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['InternetService'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAY4AAAEKCAYAAAAFJbKyAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDMuMC4zLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvnQurowAAFpxJREFUeJzt3XuwnXV97/H3h6s3FGiCBxM0VKNHPNWoKcXSdqhYRM60oOMFWiVSpvF0QKWntUXHEatlakfR1huneEwFR0UqeoweTjGlqOOVBI3IRSRFlBgORFGRqngSv+eP9du6SHZ29i/utdfe2e/XzJr1PL/n9zzru/eC/clz+z2pKiRJmq59xl2AJGl+MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHXZb9wFjMKiRYtq2bJl4y5DkuaVa6+99jtVtXh3/fbK4Fi2bBkbNmwYdxmSNK8k+eZ0+nmoSpLUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktRlr7xzXAvHt173a+MuYa/3yNd8ddwlaI5xj0OS1GVkwZHkAUmuSfKVJDck+evWfmSSLya5JckHkxzQ2g9s85va8mVD23pla785yTNHVbMkafdGucdxH/D0qnoSsAI4MckxwN8Bb6mq5cD3gDNb/zOB71XVY4C3tH4kOQo4FXgCcCLwziT7jrBuSdIURhYcNXBvm92/vQp4OvCh1n4xcEqbPrnN05YfnySt/dKquq+qvgFsAo4eVd2SpKmN9BxHkn2TbATuAtYB/w58v6q2tS6bgSVteglwO0Bb/gPgV4bbJ1lHkjTLRhocVbW9qlYASxnsJTx+sm7tPbtYtqv2+0myOsmGJBu2bt26pyVLknZjVq6qqqrvA58EjgEOTjJxGfBSYEub3gwcAdCWPwy4e7h9knWGP+OiqlpZVSsXL97tA6wkSXtolFdVLU5ycJt+IPAM4CbgauC5rdsq4KNtem2bpy3/t6qq1n5qu+rqSGA5cM2o6pYkTW2UNwAeDlzcroDaB7isqj6e5Ebg0iR/A3wZeHfr/27gvUk2MdjTOBWgqm5IchlwI7ANOKuqto+wbknSFEYWHFV1HfDkSdpvZZKroqrqJ8DzdrGt84HzZ7pGSVI/7xyXJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUZWXAkOSLJ1UluSnJDkpe39tcm+XaSje110tA6r0yyKcnNSZ451H5ia9uU5NxR1SxJ2r39RrjtbcCfV9WXkhwEXJtkXVv2lqp603DnJEcBpwJPAB4B/GuSx7bF7wB+D9gMrE+ytqpuHGHtkqRdGFlwVNUdwB1t+odJbgKWTLHKycClVXUf8I0km4Cj27JNVXUrQJJLW1+DQ5LGYFbOcSRZBjwZ+GJrOjvJdUnWJDmktS0Bbh9abXNr21W7JGkMRh4cSR4CXA6cU1X3ABcCjwZWMNgjuWCi6ySr1xTtO37O6iQbkmzYunXrjNQuSdrZSIMjyf4MQuN9VfVhgKq6s6q2V9XPgHfxi8NRm4EjhlZfCmyZov1+quqiqlpZVSsXL1488z+MJAkY7VVVAd4N3FRVbx5qP3yo27OB69v0WuDUJAcmORJYDlwDrAeWJzkyyQEMTqCvHVXdkqSpjfKqqmOBFwFfTbKxtb0KOC3JCgaHm24DXgJQVTckuYzBSe9twFlVtR0gydnAlcC+wJqqumGEdUuSpjDKq6o+w+TnJ66YYp3zgfMnab9iqvUkSbNnlHsc88ZTX3HJuEvY6137xtPHXYKkGeKQI5KkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqMrLgSHJEkquT3JTkhiQvb+2HJlmX5Jb2fkhrT5K3JtmU5LokTxna1qrW/5Ykq0ZVsyRp90a5x7EN+POqejxwDHBWkqOAc4Grqmo5cFWbB3gWsLy9VgMXwiBogPOA3wCOBs6bCBtJ0uwbWXBU1R1V9aU2/UPgJmAJcDJwcet2MXBKmz4ZuKQGvgAcnORw4JnAuqq6u6q+B6wDThxV3ZKkqc3KOY4ky4AnA18EHl5Vd8AgXIDDWrclwO1Dq21ubbtqlySNwciDI8lDgMuBc6rqnqm6TtJWU7Tv+Dmrk2xIsmHr1q17VqwkabdGGhxJ9mcQGu+rqg+35jvbISja+12tfTNwxNDqS4EtU7TfT1VdVFUrq2rl4sWLZ/YHkST93CivqgrwbuCmqnrz0KK1wMSVUauAjw61n96urjoG+EE7lHUlcEKSQ9pJ8RNamyRpDPYb4baPBV4EfDXJxtb2KuANwGVJzgS+BTyvLbsCOAnYBPwIOAOgqu5O8npgfev3uqq6e4R1S5KmMLLgqKrPMPn5CYDjJ+lfwFm72NYaYM3MVSdJ2lPeOS5J6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqcu0giPJVdNpkyTt/aa8czzJA4AHAYvaOFETd4I/FHjEiGuTJM1Buxty5CXAOQxC4lp+ERz3AO8YYV2SpDlqyuCoqn8A/iHJS6vqbbNUkyRpDpvWIIdV9bYkvwksG16nqi4ZUV2SpDlqWsGR5L3Ao4GNwPbWXIDBIUkLzHSHVV8JHNWGPpckLWDTvY/jeuA/jbIQSdL8MN09jkXAjUmuAe6baKyqPxhJVZKkOWu6wfHaURYhSZo/pntV1adGXYgkaX6Y7lVVP2RwFRXAAcD+wH9U1UNHVZgkaW6a7h7HQcPzSU4Bjh5JRZKkOW2PRsetqv8FPH2Ga5EkzQPTPVT1nKHZfRjc1+E9HZK0AE33qqrfH5reBtwGnDzj1UiS5rzpnuM4Y9SFSJLmh+k+yGlpko8kuSvJnUkuT7J0N+usaf2vH2p7bZJvJ9nYXicNLXtlkk1Jbk7yzKH2E1vbpiTn7skPKUmaOdM9Of5PwFoGz+VYAnystU3lPcCJk7S/papWtNcVAEmOAk4FntDWeWeSfZPsy+C5H88CjgJOa30lSWMy3XMci6tqOCjek+ScqVaoqk8nWTbN7Z8MXFpV9wHfSLKJX1zuu6mqbgVIcmnre+M0tytpDjv2bceOu4S93mdf+tkZ3+Z09zi+k+SFE3sBSV4IfHcPP/PsJNe1Q1mHtLYlwO1DfTa3tl217yTJ6iQbkmzYunXrHpYmSdqd6QbHHwPPB/4vcAfwXGBPTphfyOC5Hivadi5o7Zmkb03RvnNj1UVVtbKqVi5evHgPSpMkTcd0D1W9HlhVVd8DSHIo8CYGgTJtVXXnxHSSdwEfb7ObgSOGui4FtrTpXbVLksZgunscT5wIDYCquht4cu+HJTl8aPbZDJ7zAYMT76cmOTDJkcBy4BpgPbA8yZFJDmBwAn1t7+dKkmbOdPc49klyyA57HFOum+QDwHHAoiSbgfOA45KsYHC46TbgJQBVdUOSyxic9N4GnFVV29t2zgauBPYF1lTVDV0/oSRpRk03OC4APpfkQwz+6D8fOH+qFarqtEma3z1F//Mn22a7ZPeKadYpSRqx6d45fkmSDQwGNgzwnKryklhJWoCmu8dBCwrDQpIWuD0aVl2StHAZHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuBockqYvBIUnqYnBIkroYHJKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuhgckqQuIwuOJGuS3JXk+qG2Q5OsS3JLez+ktSfJW5NsSnJdkqcMrbOq9b8lyapR1StJmp5R7nG8Bzhxh7ZzgauqajlwVZsHeBawvL1WAxfCIGiA84DfAI4GzpsIG0nSeIwsOKrq08DdOzSfDFzcpi8GThlqv6QGvgAcnORw4JnAuqq6u6q+B6xj5zCSJM2i2T7H8fCqugOgvR/W2pcAtw/129zadtUuSRqTuXJyPJO01RTtO28gWZ1kQ5INW7dundHiJEm/MNvBcWc7BEV7v6u1bwaOGOq3FNgyRftOquqiqlpZVSsXL14844VLkgZmOzjWAhNXRq0CPjrUfnq7uuoY4AftUNaVwAlJDmknxU9obZKkMdlvVBtO8gHgOGBRks0Mro56A3BZkjOBbwHPa92vAE4CNgE/As4AqKq7k7weWN/6va6qdjzhLkmaRSMLjqo6bReLjp+kbwFn7WI7a4A1M1iaJOmXMFdOjkuS5gmDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUpexBEeS25J8NcnGJBta26FJ1iW5pb0f0tqT5K1JNiW5LslTxlGzJGlgnHscv1tVK6pqZZs/F7iqqpYDV7V5gGcBy9trNXDhrFcqSfq5uXSo6mTg4jZ9MXDKUPslNfAF4OAkh4+jQEnS+IKjgE8kuTbJ6tb28Kq6A6C9H9balwC3D627ubXdT5LVSTYk2bB169YRli5JC9t+Y/rcY6tqS5LDgHVJvjZF30zSVjs1VF0EXASwcuXKnZZLkmbGWPY4qmpLe78L+AhwNHDnxCGo9n5X674ZOGJo9aXAltmrVpI0bNaDI8mDkxw0MQ2cAFwPrAVWtW6rgI+26bXA6e3qqmOAH0wc0pIkzb5xHKp6OPCRJBOf//6q+pck64HLkpwJfAt4Xut/BXASsAn4EXDG7JcsSZow68FRVbcCT5qk/bvA8ZO0F3DWLJQmSZqGuXQ5riRpHjA4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktTF4JAkdTE4JEldDA5JUheDQ5LUxeCQJHUxOCRJXQwOSVIXg0OS1MXgkCR1MTgkSV0MDklSF4NDktRl3gRHkhOT3JxkU5Jzx12PJC1U8yI4kuwLvAN4FnAUcFqSo8ZblSQtTPMiOICjgU1VdWtV/RS4FDh5zDVJ0oI0X4JjCXD70Pzm1iZJmmX7jbuAacokbXW/DslqYHWbvTfJzSOvanwWAd8ZdxE98qZV4y5hLplf3995k/3vt2DNr+8OyMu6vr9HTafTfAmOzcARQ/NLgS3DHarqIuCi2SxqXJJsqKqV465De8bvb/7yuxuYL4eq1gPLkxyZ5ADgVGDtmGuSpAVpXuxxVNW2JGcDVwL7Amuq6oYxlyVJC9K8CA6AqroCuGLcdcwRC+KQ3F7M72/+8rsDUlW77yVJUjNfznFIkuYIg2OOSbI9ycYkNyT5SpL/nmSftuxBSd6X5KtJrk/ymSQPacvuHW/l89/Q737itSzJyiRvbctfm+QvxljfKcMjJiR5XZJnjKuevV2SSnLB0PxfJHntGEuaM+bNOY4F5MdVtQIgyWHA+4GHAecBLwfurKpfa8sfB/y/cRW6F/r5737IbcCGX3bDScLg0PDPfonNnAJ8HLgRoKpe88vWpSndBzwnyd9W1by6d2PU3OOYw6rqLgY3NZ7d/vAcDnx7aPnNVXXfuOpbCJIcl+TjQ01PSvJvSW5J8idD/V6RZH2S65L8dWtbluSmJO8EvsT970UiyfFJvtz2INckObC135bk75Jc016PSfKbwB8Ab2x7Q49O8p4kz23r/HqSz7W91GuSHDTiX81CsI3ByfA/23FBkkcluap931cleeTslzc+BsccV1W3MvieDgPWAH+V5PNJ/ibJ8vFWt9d54NBhqo/sos8Tgf8KPA14TZJHJDkBWM5gTLUVwFOT/E7r/zjgkqp6clV9c2IjSR4AvAd4QduD3A/406HPuaeqjgbeDvx9VX2Owb1Lr6iqFVX170PbOgD4IPDyqnoS8Azgx7/cr0LNO4A/SvKwHdrfzuB7fSLwPuCts17ZGBkc80MAqmoj8KvAG4FDgfVJHj/OwvYyP25/lFdU1bN30eejVfXjdujiagZhcUJ7fZnBnsV/ZhAkAN+sqi9Msp3HAd+oqq+3+YuB3xla/oGh96ftpu7HAXdU1XqAqrqnqrbtZh1NQ1XdA1wCvGyHRU9jcBgZ4L3Ab81mXePmOY45LsmvAtuBuwCq6l7gw8CHk/wMOAm4aXwVLjg7Xr9eDIL9b6vqH4cXJFkG/McutrO7AYRqF9O72pbX1Y/O3zP4B8E/TdFnQf3+3eOYw5IsBv4H8PaqqiTHJjmkLTuAwbNJvjnVNjTjTk7ygCS/AhzHYDicK4E/HrrCbUm7sGEqXwOWJXlMm38R8Kmh5S8Yev98m/4hMNm5i68Bj0jy6+3zD0riPwpnSFXdDVwGnDnU/DkGQx8B/BHwmdmua5z8j2vueWCSjcD+DE7OvRd4c1v2aODCdqJ8H+B/A5e3ZQ9KsnloO2+uqjejmXYNg9/7I4HXV9UWYEs7ZPj5wVfDvcALGewpTqqqfpLkDOCf2x/59Qz+kTDhwCRfZPA9n9baLgXeleRlwHOHtvXTJC8A3pbkgQzObzyj1aGZcQFw9tD8y4A1SV4BbAXOGEtVY+Kd49Ick+Q2YKWXgGqu8lCVJKmLexySpC7ucUiSuhgckqQuBockqYvBob3adEYNTnJOkgfNQi3Lkvzh0PwuRzuegc+6IsnBM7EtaUcGhwTnAF3BkWTfPficZcAfDs3/fLTjqvovDG4wm/Zox1PVUFUnVdX396BGabcMDi0IbZTbTyb5UJKvtX/pp91M9wjg6iRXt74ntIEkv5Tkn4fuCL8tyWuSfAZ4XtvexCi2X0/y263fvkneODRa7ktaGW8AfrsNovhnTDHacZIXtu1uTPKPEyGR5N4MnsPxReBVSS7b4Wf82FCti9r06a2OryR5b2tbnOTyVuP6JMeO7revvU5V+fK1176Ae9v7ccAPgKUM/sH0eeC32rLbgEVtehHwaeDBbf6vgNcM9fvLoW1/ErigTZ8E/GubXg28uk0fyOB5Hke2Gj4+tP4KBmOQfR74G2B5a3888DFg/zb/TuD0Nl3A89v0fsC3hmq9EHjh8M8EPAG4eejnO7S9v3/o538kcNO4vytf8+flkCNaSK6pqs0AbViXZew8xtAxDMYA+2wbPuQAfjFWFAyGLx/24fZ+bdseDEbKfeLEszIYPIhrOfDT4RWramMbxPIEBkOErE/yNOB44KltHuCBtEEuGQxjcnlbf1uSfwF+P8mHGAz3/pc71Pd04EPV7kKvwbhLtM87qm0f4KFJDqqqHyLthsGhhWT4oVfbmfy//wDrquq0SZbBzqPdTmxzeHsBXlpVV95vw8lxO26sJh/t+KfAxVX1ykk+/ydVNTwG1geBs4C7gfWT/OHf1ci5+wBPqyqf26FunuOQ7j/q7BeAYydGrW1XPj22c3tXAn+aZP+2jccmefAOn8MUox1fBTx3YoTdJIcmedQuPuuTwFOAP2HnvSHatp7fRvMlyaGt/RMMDdqXZMdH5kq75B6HNHg86P9JckdV/W6SFwMfSHuUK/Bq4Ou7XHtn/5PBYasvtZGMtzJ4Xvh1wLYkX2Hw9L/vMslox1VVSV4NfCLJPgyutDqLSYbQr6rtGTza9sXAqkmW35DkfOBTSbYzeNjUixmM7vqOJNcx+DvwaeC/dfyMWsAcq0qS1MVDVZKkLgaHJKmLwSFJ6mJwSJK6GBySpC4GhySpi8EhSepicEiSuvx/a+//fAr5SBEAAAAASUVORK5CYII=\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['InternetService'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No                     3497\n",
       "Yes                    2015\n",
       "No internet service    1520\n",
       "Name: OnlineSecurity, dtype: int64"
      ]
     },
     "execution_count": 131,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['OnlineSecurity'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 132,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['OnlineSecurity'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No                     3087\n",
       "Yes                    2425\n",
       "No internet service    1520\n",
       "Name: OnlineBackup, dtype: int64"
      ]
     },
     "execution_count": 133,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['OnlineBackup'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 134,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['OnlineBackup'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 135,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No                     3094\n",
       "Yes                    2418\n",
       "No internet service    1520\n",
       "Name: DeviceProtection, dtype: int64"
      ]
     },
     "execution_count": 135,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['DeviceProtection'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 136,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['DeviceProtection'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 137,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No                     3472\n",
       "Yes                    2040\n",
       "No internet service    1520\n",
       "Name: TechSupport, dtype: int64"
      ]
     },
     "execution_count": 137,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['TechSupport'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 138,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['TechSupport'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 139,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No                     2809\n",
       "Yes                    2703\n",
       "No internet service    1520\n",
       "Name: StreamingTV, dtype: int64"
      ]
     },
     "execution_count": 139,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['StreamingTV'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 140,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['StreamingTV'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 141,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No                     2781\n",
       "Yes                    2731\n",
       "No internet service    1520\n",
       "Name: StreamingMovies, dtype: int64"
      ]
     },
     "execution_count": 141,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['StreamingMovies'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 142,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['StreamingMovies'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 143,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "No     5163\n",
       "Yes    1869\n",
       "Name: Churn, dtype: int64"
      ]
     },
     "execution_count": 143,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset['Churn'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 144,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.countplot(dataset['Churn'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 146,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_values=dataset['Churn']\n",
    "dataset=dataset.drop(['Churn','customerID'],axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 147,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['tenure', 'PhoneService', 'Contract', 'PaperlessBilling',\n",
       "       'PaymentMethod', 'MonthlyCharges', 'TotalCharges', 'gender',\n",
       "       'SeniorCitizen', 'Partner', 'Dependents', 'MultipleLines',\n",
       "       'InternetService', 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection',\n",
       "       'TechSupport', 'StreamingTV', 'StreamingMovies'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 147,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 148,
   "metadata": {},
   "outputs": [],
   "source": [
    "from sklearn.model_selection import train_test_split\n",
    "\n",
    "x_train,x_test,y_train,y_test=train_test_split(dataset,y_values,test_size=0.25,stratify=y_values)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 149,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5274, 19)"
      ]
     },
     "execution_count": 149,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 150,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1758, 19)"
      ]
     },
     "execution_count": 150,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "x_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 151,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(5274,)"
      ]
     },
     "execution_count": 151,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_train.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 152,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1758,)"
      ]
     },
     "execution_count": 152,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "y_test.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 153,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:4: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  after removing the cwd from sys.path.\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:5: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \"\"\"\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:6: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:7: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  import sys\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:8: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:9: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if __name__ == '__main__':\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:10: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  # Remove the CWD from sys.path while we load stuff.\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:11: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  # This is added back by InteractiveShellApp.init_path()\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:12: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  if sys.path[0] == '':\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:13: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  del sys.path[0]\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:14: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  \n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:15: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  from ipykernel import kernelapp as app\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:16: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "  app.launch_new_instance()\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:17: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:18: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:19: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:20: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:21: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:22: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:23: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:24: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:25: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:26: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:27: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:28: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:29: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:30: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:31: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:32: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:33: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:34: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n",
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/ipykernel_launcher.py:35: SettingWithCopyWarning: \n",
      "A value is trying to be set on a copy of a slice from a DataFrame.\n",
      "Try using .loc[row_indexer,col_indexer] = value instead\n",
      "\n",
      "See the caveats in the documentation: http://pandas.pydata.org/pandas-docs/stable/indexing.html#indexing-view-versus-copy\n"
     ]
    }
   ],
   "source": [
    "from sklearn.preprocessing import LabelEncoder\n",
    "le = LabelEncoder()\n",
    "\n",
    "x_train['StreamingMovies']=le.fit_transform(x_train['StreamingMovies'])\n",
    "x_test['StreamingMovies']=le.transform(x_test['StreamingMovies'])\n",
    "x_train['StreamingTV']=le.fit_transform(x_train['StreamingTV'])\n",
    "x_test['StreamingTV']=le.transform(x_test['StreamingTV'])\n",
    "x_train['TechSupport']=le.fit_transform(x_train['TechSupport'])\n",
    "x_test['TechSupport']=le.transform(x_test['TechSupport'])\n",
    "x_train['DeviceProtection']=le.fit_transform(x_train['DeviceProtection'])\n",
    "x_test['DeviceProtection']=le.transform(x_test['DeviceProtection'])\n",
    "x_train['OnlineBackup']=le.fit_transform(x_train['OnlineBackup'])\n",
    "x_test['OnlineBackup']=le.transform(x_test['OnlineBackup'])\n",
    "x_train['OnlineSecurity']=le.fit_transform(x_train['OnlineSecurity'])\n",
    "x_test['OnlineSecurity']=le.transform(x_test['OnlineSecurity'])\n",
    "x_train['InternetService']=le.fit_transform(x_train['InternetService'])\n",
    "x_test['InternetService']=le.transform(x_test['InternetService'])\n",
    "x_train['MultipleLines']=le.fit_transform(x_train['MultipleLines'])\n",
    "x_test['MultipleLines']=le.transform(x_test['MultipleLines'])\n",
    "x_train['Dependents']=le.fit_transform(x_train['Dependents'])\n",
    "x_test['Dependents']=le.transform(x_test['Dependents'])\n",
    "x_train['Partner']=le.fit_transform(x_train['Partner'])\n",
    "x_test['Partner']=le.transform(x_test['Partner'])\n",
    "x_train['SeniorCitizen']=le.fit_transform(x_train['SeniorCitizen'])\n",
    "x_test['SeniorCitizen']=le.transform(x_test['SeniorCitizen'])\n",
    "x_train['gender']=le.fit_transform(x_train['gender'])\n",
    "x_test['gender']=le.transform(x_test['gender'])\n",
    "x_train['PaymentMethod']=le.fit_transform(x_train['PaymentMethod'])\n",
    "x_test['PaymentMethod']=le.transform(x_test['PaymentMethod'])\n",
    "x_train['PaperlessBilling']=le.fit_transform(x_train['PaperlessBilling'])\n",
    "x_test['PaperlessBilling']=le.transform(x_test['PaperlessBilling'])\n",
    "x_train['Contract']=le.fit_transform(x_train['Contract'])\n",
    "x_test['Contract']=le.transform(x_test['Contract'])\n",
    "x_train['PhoneService']=le.fit_transform(x_train['PhoneService'])\n",
    "x_test['PhoneService']=le.transform(x_test['PhoneService'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 154,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['tenure', 'PhoneService', 'Contract', 'PaperlessBilling',\n",
       "       'PaymentMethod', 'MonthlyCharges', 'TotalCharges', 'gender',\n",
       "       'SeniorCitizen', 'Partner', 'Dependents', 'MultipleLines',\n",
       "       'InternetService', 'OnlineSecurity', 'OnlineBackup', 'DeviceProtection',\n",
       "       'TechSupport', 'StreamingTV', 'StreamingMovies'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 154,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 155,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/bikumalla/anaconda3/lib/python3.7/site-packages/sklearn/linear_model/logistic.py:433: FutureWarning: Default solver will be changed to 'lbfgs' in 0.22. Specify a solver to silence this warning.\n",
      "  FutureWarning)\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "LogisticRegression(C=1.0, class_weight=None, dual=False, fit_intercept=True,\n",
       "          intercept_scaling=1, max_iter=100, multi_class='warn',\n",
       "          n_jobs=None, penalty='l2', random_state=None, solver='warn',\n",
       "          tol=0.0001, verbose=0, warm_start=False)"
      ]
     },
     "execution_count": 155,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.linear_model import LogisticRegression as lr\n",
    "cls = lr()\n",
    "cls.fit(x_train,y_train)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 156,
   "metadata": {},
   "outputs": [],
   "source": [
    "y_pred = cls.predict(x_test)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 160,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[1154  137]\n",
      " [ 204  263]]\n"
     ]
    }
   ],
   "source": [
    "from sklearn.metrics import confusion_matrix\n",
    "cm = confusion_matrix(y_test,y_pred)\n",
    "print(cm)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 162,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "con_mat = pd.DataFrame(cm,index=[i for i in ['Negative','Positive']],columns=[i for i in ['Negative','Positive']])\n",
    "ax = sns.heatmap(con_mat,annot=True,fmt='d')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 159,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8060295790671217"
      ]
     },
     "execution_count": 159,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from sklearn.metrics import accuracy_score\n",
    "accuracy_score(y_test,y_pred)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}