8.2outliersz_score.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Z-score Method**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**The Z-score method, standardizes the data and identifies outliers based on how many standard deviations a data point is away from the mean. It is more sensitive to extreme values and outliers that deviate significantly from the mean.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd \n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Just For Practice and Understanding**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "dataset=pd.read_csv(r\"weight-height.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "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>Gender</th>\n",
       "      <th>Height</th>\n",
       "      <th>Weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Male</td>\n",
       "      <td>73.847017</td>\n",
       "      <td>241.893563</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Male</td>\n",
       "      <td>68.781904</td>\n",
       "      <td>162.310473</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Male</td>\n",
       "      <td>74.110105</td>\n",
       "      <td>212.740856</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Male</td>\n",
       "      <td>71.730978</td>\n",
       "      <td>220.042470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Male</td>\n",
       "      <td>69.881796</td>\n",
       "      <td>206.349801</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9995</th>\n",
       "      <td>Female</td>\n",
       "      <td>66.172652</td>\n",
       "      <td>136.777454</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9996</th>\n",
       "      <td>Female</td>\n",
       "      <td>67.067155</td>\n",
       "      <td>170.867906</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9997</th>\n",
       "      <td>Female</td>\n",
       "      <td>63.867992</td>\n",
       "      <td>128.475319</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9998</th>\n",
       "      <td>Female</td>\n",
       "      <td>69.034243</td>\n",
       "      <td>163.852461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9999</th>\n",
       "      <td>Female</td>\n",
       "      <td>61.944246</td>\n",
       "      <td>113.649103</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10000 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Gender     Height      Weight\n",
       "0       Male  73.847017  241.893563\n",
       "1       Male  68.781904  162.310473\n",
       "2       Male  74.110105  212.740856\n",
       "3       Male  71.730978  220.042470\n",
       "4       Male  69.881796  206.349801\n",
       "...      ...        ...         ...\n",
       "9995  Female  66.172652  136.777454\n",
       "9996  Female  67.067155  170.867906\n",
       "9997  Female  63.867992  128.475319\n",
       "9998  Female  69.034243  163.852461\n",
       "9999  Female  61.944246  113.649103\n",
       "\n",
       "[10000 rows x 3 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**The describe() method in pandas provides descriptive statistics for numerical columns in a DataFrame. It generates a summary of the central tendency, dispersion, and shape of the dataset's distribution.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "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>Height</th>\n",
       "      <th>Weight</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>10000.000000</td>\n",
       "      <td>10000.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>66.367560</td>\n",
       "      <td>161.440357</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>3.847528</td>\n",
       "      <td>32.108439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>54.263133</td>\n",
       "      <td>64.700127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>63.505620</td>\n",
       "      <td>135.818051</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>66.318070</td>\n",
       "      <td>161.212928</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>69.174262</td>\n",
       "      <td>187.169525</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>78.998742</td>\n",
       "      <td>269.989699</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "             Height        Weight\n",
       "count  10000.000000  10000.000000\n",
       "mean      66.367560    161.440357\n",
       "std        3.847528     32.108439\n",
       "min       54.263133     64.700127\n",
       "25%       63.505620    135.818051\n",
       "50%       66.318070    161.212928\n",
       "75%       69.174262    187.169525\n",
       "max       78.998742    269.989699"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataset.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(x=\"Height\",data=dataset)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 500x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.displot(dataset[\"Height\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(dataset[\"Height\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.histplot(dataset[\"Height\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(dataset[\"Height\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Work on dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=pd.read_csv(r\"loan_data_set.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>Loan_ID</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Married</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>Education</th>\n",
       "      <th>Self_Employed</th>\n",
       "      <th>ApplicantIncome</th>\n",
       "      <th>CoapplicantIncome</th>\n",
       "      <th>LoanAmount</th>\n",
       "      <th>Loan_Amount_Term</th>\n",
       "      <th>Credit_History</th>\n",
       "      <th>Property_Area</th>\n",
       "      <th>Loan_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LP001002</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>5849</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LP001003</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>4583</td>\n",
       "      <td>1508.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Rural</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LP001005</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LP001006</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Not Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>2583</td>\n",
       "      <td>2358.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LP001008</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>6000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609</th>\n",
       "      <td>LP002978</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>2900</td>\n",
       "      <td>0.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Rural</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>LP002979</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3+</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>4106</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Rural</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>LP002983</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>8072</td>\n",
       "      <td>240.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612</th>\n",
       "      <td>LP002984</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>7583</td>\n",
       "      <td>0.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>613</th>\n",
       "      <td>LP002990</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4583</td>\n",
       "      <td>0.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Semiurban</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>614 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Loan_ID  Gender Married Dependents     Education Self_Employed  \\\n",
       "0    LP001002    Male      No          0      Graduate            No   \n",
       "1    LP001003    Male     Yes          1      Graduate            No   \n",
       "2    LP001005    Male     Yes          0      Graduate           Yes   \n",
       "3    LP001006    Male     Yes          0  Not Graduate            No   \n",
       "4    LP001008    Male      No          0      Graduate            No   \n",
       "..        ...     ...     ...        ...           ...           ...   \n",
       "609  LP002978  Female      No          0      Graduate            No   \n",
       "610  LP002979    Male     Yes         3+      Graduate            No   \n",
       "611  LP002983    Male     Yes          1      Graduate            No   \n",
       "612  LP002984    Male     Yes          2      Graduate            No   \n",
       "613  LP002990  Female      No          0      Graduate           Yes   \n",
       "\n",
       "     ApplicantIncome  CoapplicantIncome  LoanAmount  Loan_Amount_Term  \\\n",
       "0               5849                0.0         NaN             360.0   \n",
       "1               4583             1508.0       128.0             360.0   \n",
       "2               3000                0.0        66.0             360.0   \n",
       "3               2583             2358.0       120.0             360.0   \n",
       "4               6000                0.0       141.0             360.0   \n",
       "..               ...                ...         ...               ...   \n",
       "609             2900                0.0        71.0             360.0   \n",
       "610             4106                0.0        40.0             180.0   \n",
       "611             8072              240.0       253.0             360.0   \n",
       "612             7583                0.0       187.0             360.0   \n",
       "613             4583                0.0       133.0             360.0   \n",
       "\n",
       "     Credit_History Property_Area Loan_Status  \n",
       "0               1.0         Urban           Y  \n",
       "1               1.0         Rural           N  \n",
       "2               1.0         Urban           Y  \n",
       "3               1.0         Urban           Y  \n",
       "4               1.0         Urban           Y  \n",
       "..              ...           ...         ...  \n",
       "609             1.0         Rural           Y  \n",
       "610             1.0         Rural           Y  \n",
       "611             1.0         Urban           Y  \n",
       "612             1.0         Urban           Y  \n",
       "613             0.0     Semiurban           N  \n",
       "\n",
       "[614 rows x 13 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**The describe() method in pandas provides descriptive statistics for numerical columns in a DataFrame. It generates a summary of the central tendency, dispersion, and shape of the dataset's distribution.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>ApplicantIncome</th>\n",
       "      <th>CoapplicantIncome</th>\n",
       "      <th>LoanAmount</th>\n",
       "      <th>Loan_Amount_Term</th>\n",
       "      <th>Credit_History</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>614.000000</td>\n",
       "      <td>614.000000</td>\n",
       "      <td>592.000000</td>\n",
       "      <td>600.00000</td>\n",
       "      <td>564.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>5403.459283</td>\n",
       "      <td>1621.245798</td>\n",
       "      <td>146.412162</td>\n",
       "      <td>342.00000</td>\n",
       "      <td>0.842199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>6109.041673</td>\n",
       "      <td>2926.248369</td>\n",
       "      <td>85.587325</td>\n",
       "      <td>65.12041</td>\n",
       "      <td>0.364878</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>150.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>9.000000</td>\n",
       "      <td>12.00000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>2877.500000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>100.000000</td>\n",
       "      <td>360.00000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>3812.500000</td>\n",
       "      <td>1188.500000</td>\n",
       "      <td>128.000000</td>\n",
       "      <td>360.00000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5795.000000</td>\n",
       "      <td>2297.250000</td>\n",
       "      <td>168.000000</td>\n",
       "      <td>360.00000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>81000.000000</td>\n",
       "      <td>41667.000000</td>\n",
       "      <td>700.000000</td>\n",
       "      <td>480.00000</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       ApplicantIncome  CoapplicantIncome  LoanAmount  Loan_Amount_Term  \\\n",
       "count       614.000000         614.000000  592.000000         600.00000   \n",
       "mean       5403.459283        1621.245798  146.412162         342.00000   \n",
       "std        6109.041673        2926.248369   85.587325          65.12041   \n",
       "min         150.000000           0.000000    9.000000          12.00000   \n",
       "25%        2877.500000           0.000000  100.000000         360.00000   \n",
       "50%        3812.500000        1188.500000  128.000000         360.00000   \n",
       "75%        5795.000000        2297.250000  168.000000         360.00000   \n",
       "max       81000.000000       41667.000000  700.000000         480.00000   \n",
       "\n",
       "       Credit_History  \n",
       "count      564.000000  \n",
       "mean         0.842199  \n",
       "std          0.364878  \n",
       "min          0.000000  \n",
       "25%          1.000000  \n",
       "50%          1.000000  \n",
       "75%          1.000000  \n",
       "max          1.000000  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Check the column with kdeplot graph it is clearly visible outliers are present.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='CoapplicantIncome', ylabel='Density'>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(data[\"CoapplicantIncome\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Check the column with boxplot graph it is clearly visible outliers are present.**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='CoapplicantIncome'>"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data[\"CoapplicantIncome\"])\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: ylabel='ApplicantIncome'>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.boxplot(data[\"ApplicantIncome\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='ApplicantIncome', ylabel='Density'>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(data[\"ApplicantIncome\"])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Directly method (Z_score)**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "min_range_coapp=data[\"CoapplicantIncome\"].mean()-(3*data[\"CoapplicantIncome\"].std())\n",
    "max_range_coapp=data[\"CoapplicantIncome\"].mean()+(3*data[\"CoapplicantIncome\"].std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-7157.4993096454655, 10399.990905699668)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_range_coapp,max_range_coapp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "outlier_remove_data=data[data[\"CoapplicantIncome\"]<=max_range_coapp]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='CoapplicantIncome', ylabel='Density'>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(x=\"CoapplicantIncome\",data=outlier_remove_data)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [],
   "source": [
    "min_range_incapp=data[\"ApplicantIncome\"].mean()-(3*data[\"ApplicantIncome\"].std())\n",
    "max_range_incapp=data[\"ApplicantIncome\"].mean()+(3*data[\"ApplicantIncome\"].std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-12923.66573677391, 23730.584303549156)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "min_range_incapp,max_range_incapp"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "outlier_remove_data1=data[data[\"ApplicantIncome\"]<=max_range_incapp]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='ApplicantIncome', ylabel='Density'>"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(x=\"ApplicantIncome\",data=outlier_remove_data1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=outlier_remove_data1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='ApplicantIncome', ylabel='Density'>"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(data[\"ApplicantIncome\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(606,)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"ApplicantIncome\"].shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Changes in orignal dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "data=outlier_remove_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: xlabel='CoapplicantIncome', ylabel='Density'>"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(data[\"CoapplicantIncome\"])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(608,)"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[\"CoapplicantIncome\"].shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2=pd.read_csv(r\"loan_data_set.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "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>Loan_ID</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Married</th>\n",
       "      <th>Dependents</th>\n",
       "      <th>Education</th>\n",
       "      <th>Self_Employed</th>\n",
       "      <th>ApplicantIncome</th>\n",
       "      <th>CoapplicantIncome</th>\n",
       "      <th>LoanAmount</th>\n",
       "      <th>Loan_Amount_Term</th>\n",
       "      <th>Credit_History</th>\n",
       "      <th>Property_Area</th>\n",
       "      <th>Loan_Status</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>LP001002</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>5849</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>LP001003</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>4583</td>\n",
       "      <td>1508.0</td>\n",
       "      <td>128.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Rural</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>LP001005</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>66.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>LP001006</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>0</td>\n",
       "      <td>Not Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>2583</td>\n",
       "      <td>2358.0</td>\n",
       "      <td>120.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>LP001008</td>\n",
       "      <td>Male</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>6000</td>\n",
       "      <td>0.0</td>\n",
       "      <td>141.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>609</th>\n",
       "      <td>LP002978</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>2900</td>\n",
       "      <td>0.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Rural</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>LP002979</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>3+</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>4106</td>\n",
       "      <td>0.0</td>\n",
       "      <td>40.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Rural</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>611</th>\n",
       "      <td>LP002983</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>1</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>8072</td>\n",
       "      <td>240.0</td>\n",
       "      <td>253.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>612</th>\n",
       "      <td>LP002984</td>\n",
       "      <td>Male</td>\n",
       "      <td>Yes</td>\n",
       "      <td>2</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>No</td>\n",
       "      <td>7583</td>\n",
       "      <td>0.0</td>\n",
       "      <td>187.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>Urban</td>\n",
       "      <td>Y</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>613</th>\n",
       "      <td>LP002990</td>\n",
       "      <td>Female</td>\n",
       "      <td>No</td>\n",
       "      <td>0</td>\n",
       "      <td>Graduate</td>\n",
       "      <td>Yes</td>\n",
       "      <td>4583</td>\n",
       "      <td>0.0</td>\n",
       "      <td>133.0</td>\n",
       "      <td>360.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Semiurban</td>\n",
       "      <td>N</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>614 rows × 13 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      Loan_ID  Gender Married Dependents     Education Self_Employed  \\\n",
       "0    LP001002    Male      No          0      Graduate            No   \n",
       "1    LP001003    Male     Yes          1      Graduate            No   \n",
       "2    LP001005    Male     Yes          0      Graduate           Yes   \n",
       "3    LP001006    Male     Yes          0  Not Graduate            No   \n",
       "4    LP001008    Male      No          0      Graduate            No   \n",
       "..        ...     ...     ...        ...           ...           ...   \n",
       "609  LP002978  Female      No          0      Graduate            No   \n",
       "610  LP002979    Male     Yes         3+      Graduate            No   \n",
       "611  LP002983    Male     Yes          1      Graduate            No   \n",
       "612  LP002984    Male     Yes          2      Graduate            No   \n",
       "613  LP002990  Female      No          0      Graduate           Yes   \n",
       "\n",
       "     ApplicantIncome  CoapplicantIncome  LoanAmount  Loan_Amount_Term  \\\n",
       "0               5849                0.0         NaN             360.0   \n",
       "1               4583             1508.0       128.0             360.0   \n",
       "2               3000                0.0        66.0             360.0   \n",
       "3               2583             2358.0       120.0             360.0   \n",
       "4               6000                0.0       141.0             360.0   \n",
       "..               ...                ...         ...               ...   \n",
       "609             2900                0.0        71.0             360.0   \n",
       "610             4106                0.0        40.0             180.0   \n",
       "611             8072              240.0       253.0             360.0   \n",
       "612             7583                0.0       187.0             360.0   \n",
       "613             4583                0.0       133.0             360.0   \n",
       "\n",
       "     Credit_History Property_Area Loan_Status  \n",
       "0               1.0         Urban           Y  \n",
       "1               1.0         Rural           N  \n",
       "2               1.0         Urban           Y  \n",
       "3               1.0         Urban           Y  \n",
       "4               1.0         Urban           Y  \n",
       "..              ...           ...         ...  \n",
       "609             1.0         Rural           Y  \n",
       "610             1.0         Rural           Y  \n",
       "611             1.0         Urban           Y  \n",
       "612             1.0         Urban           Y  \n",
       "613             0.0     Semiurban           N  \n",
       "\n",
       "[614 rows x 13 columns]"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(data2[\"CoapplicantIncome\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Z_score method**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2[\"Coapplicant_Zscore\"]=(data2[\"CoapplicantIncome\"]-data2[\"CoapplicantIncome\"].mean())/(data2[\"CoapplicantIncome\"].std())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "filtered_data = data2[data2[\"Coapplicant_Zscore\"] < 3]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Changes in orignal dataset**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "data2=filtered_data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.kdeplot(data2[\"Coapplicant_Zscore\"])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(608,)"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data2[\"Coapplicant_Zscore\"].shape\n"
   ]
  }
 ],
 "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": "3.12.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}