{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": { "collapsed": true }, "outputs": [], "source": [ "import numpy as np\n", "import pandas as pd\n", "import matplotlib.pyplot as plt" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", " | RowNumber | \n", "CustomerId | \n", "Surname | \n", "CreditScore | \n", "Geography | \n", "Gender | \n", "Age | \n", "Tenure | \n", "Balance | \n", "NumOfProducts | \n", "HasCrCard | \n", "IsActiveMember | \n", "EstimatedSalary | \n", "Exited | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | \n", "1 | \n", "15634602 | \n", "Hargrave | \n", "619 | \n", "France | \n", "Female | \n", "42 | \n", "2 | \n", "0.00 | \n", "1 | \n", "1 | \n", "1 | \n", "101348.88 | \n", "1 | \n", "
1 | \n", "2 | \n", "15647311 | \n", "Hill | \n", "608 | \n", "Spain | \n", "Female | \n", "41 | \n", "1 | \n", "83807.86 | \n", "1 | \n", "0 | \n", "1 | \n", "112542.58 | \n", "0 | \n", "
2 | \n", "3 | \n", "15619304 | \n", "Onio | \n", "502 | \n", "France | \n", "Female | \n", "42 | \n", "8 | \n", "159660.80 | \n", "3 | \n", "1 | \n", "0 | \n", "113931.57 | \n", "1 | \n", "
3 | \n", "4 | \n", "15701354 | \n", "Boni | \n", "699 | \n", "France | \n", "Female | \n", "39 | \n", "1 | \n", "0.00 | \n", "2 | \n", "0 | \n", "0 | \n", "93826.63 | \n", "0 | \n", "
4 | \n", "5 | \n", "15737888 | \n", "Mitchell | \n", "850 | \n", "Spain | \n", "Female | \n", "43 | \n", "2 | \n", "125510.82 | \n", "1 | \n", "1 | \n", "1 | \n", "79084.10 | \n", "0 | \n", "