diff --git a/CAB_EDA.ipynb b/CAB_EDA.ipynb
new file mode 100644
index 00000000..25a73473
--- /dev/null
+++ b/CAB_EDA.ipynb
@@ -0,0 +1,2548 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 31,
+   "id": "b1cb026e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Importing libraries\n",
+    "import pandas as pd\n",
+    "import numpy as np\n",
+    "import matplotlib.pyplot as plt"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "id": "ac0ca921",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Importing datasets\n",
+    "cab_data = pd.read_csv('Cab_Data.csv')\n",
+    "city = pd.read_csv('City.csv')\n",
+    "customer_id = pd.read_csv('Customer_ID.csv')\n",
+    "transaction_id = pd.read_csv('Transaction_ID.csv')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 33,
+   "id": "bffc0983",
+   "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>Transaction ID</th>\n",
+       "      <th>Date of Travel</th>\n",
+       "      <th>Company</th>\n",
+       "      <th>City</th>\n",
+       "      <th>KM Travelled</th>\n",
+       "      <th>Price Charged</th>\n",
+       "      <th>Cost of Trip</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10000011</td>\n",
+       "      <td>42377</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>30.45</td>\n",
+       "      <td>370.95</td>\n",
+       "      <td>313.635</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>10000012</td>\n",
+       "      <td>42375</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>28.62</td>\n",
+       "      <td>358.52</td>\n",
+       "      <td>334.854</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>10000013</td>\n",
+       "      <td>42371</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>9.04</td>\n",
+       "      <td>125.20</td>\n",
+       "      <td>97.632</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>10000014</td>\n",
+       "      <td>42376</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>33.17</td>\n",
+       "      <td>377.40</td>\n",
+       "      <td>351.602</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>10000015</td>\n",
+       "      <td>42372</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>8.73</td>\n",
+       "      <td>114.62</td>\n",
+       "      <td>97.776</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>10000016</td>\n",
+       "      <td>42376</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>6.06</td>\n",
+       "      <td>72.43</td>\n",
+       "      <td>63.024</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>10000017</td>\n",
+       "      <td>42372</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>AUSTIN TX</td>\n",
+       "      <td>44.00</td>\n",
+       "      <td>576.15</td>\n",
+       "      <td>475.200</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>10000018</td>\n",
+       "      <td>42376</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>AUSTIN TX</td>\n",
+       "      <td>35.65</td>\n",
+       "      <td>466.10</td>\n",
+       "      <td>377.890</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>10000019</td>\n",
+       "      <td>42381</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>BOSTON MA</td>\n",
+       "      <td>14.40</td>\n",
+       "      <td>191.61</td>\n",
+       "      <td>146.880</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10000020</td>\n",
+       "      <td>42375</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>BOSTON MA</td>\n",
+       "      <td>10.89</td>\n",
+       "      <td>156.98</td>\n",
+       "      <td>113.256</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Transaction ID  Date of Travel   Company        City  KM Travelled  \\\n",
+       "0        10000011           42377  Pink Cab  ATLANTA GA         30.45   \n",
+       "1        10000012           42375  Pink Cab  ATLANTA GA         28.62   \n",
+       "2        10000013           42371  Pink Cab  ATLANTA GA          9.04   \n",
+       "3        10000014           42376  Pink Cab  ATLANTA GA         33.17   \n",
+       "4        10000015           42372  Pink Cab  ATLANTA GA          8.73   \n",
+       "5        10000016           42376  Pink Cab  ATLANTA GA          6.06   \n",
+       "6        10000017           42372  Pink Cab   AUSTIN TX         44.00   \n",
+       "7        10000018           42376  Pink Cab   AUSTIN TX         35.65   \n",
+       "8        10000019           42381  Pink Cab   BOSTON MA         14.40   \n",
+       "9        10000020           42375  Pink Cab   BOSTON MA         10.89   \n",
+       "\n",
+       "   Price Charged  Cost of Trip  \n",
+       "0         370.95       313.635  \n",
+       "1         358.52       334.854  \n",
+       "2         125.20        97.632  \n",
+       "3         377.40       351.602  \n",
+       "4         114.62        97.776  \n",
+       "5          72.43        63.024  \n",
+       "6         576.15       475.200  \n",
+       "7         466.10       377.890  \n",
+       "8         191.61       146.880  \n",
+       "9         156.98       113.256  "
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Exploring data\n",
+    "cab_data.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 34,
+   "id": "c5d550b4",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1762, 1868, 5186, 9361, 1380, 1394, 19865, 2002, 1841, 13967, 1513, 864, 682, 1334, 10672, 2732, 3797, 799, 3692]\n",
+      "[5795, 3028, 24506, 47264, 5637, 2431, 28168, 4452, 1169, 85918, 2469, 1200, 631, 1033, 9816, 5265, 4722, 1132, 40045]\n",
+      "['ATLANTA GA', 'AUSTIN TX', 'BOSTON MA', 'CHICAGO IL', 'DALLAS TX', 'DENVER CO', 'LOS ANGELES CA', 'MIAMI FL', 'NASHVILLE TN', 'NEW YORK NY', 'ORANGE COUNTY', 'PHOENIX AZ', 'PITTSBURGH PA', 'SACRAMENTO CA', 'SAN DIEGO CA', 'SEATTLE WA', 'SILICON VALLEY', 'TUCSON AZ', 'WASHINGTON DC']\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Finding most popular Company for each city\n",
+    "city_list=[]\n",
+    "pink_cab_city =[]\n",
+    "yellow_cab_city = []\n",
+    "cities = cab_data['City'].tolist()\n",
+    "cities_set = []\n",
+    "for x in cities:\n",
+    "    if x not in cities_set:\n",
+    "        cities_set.append(x)\n",
+    "cabs = cab_data['Company'].tolist()\n",
+    "for i in range(0,len(cities_set)):\n",
+    "    temp_city = cities_set[i]\n",
+    "    pink_cabs = 0\n",
+    "    yellow_cabs = 0\n",
+    "    for j in range(0,len(cabs)):\n",
+    "        if cities[j]==temp_city:\n",
+    "            if cabs[j]=='Pink Cab':\n",
+    "                pink_cabs+=1\n",
+    "            if cabs[j]=='Yellow Cab':\n",
+    "                yellow_cabs+=1\n",
+    "    \n",
+    "    pink_cab_city.append(pink_cabs)\n",
+    "    yellow_cab_city.append(yellow_cabs)\n",
+    "    city_list.append(temp_city)\n",
+    "\n",
+    "\n",
+    "print(pink_cab_city)\n",
+    "print(yellow_cab_city)\n",
+    "print(city_list)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 35,
+   "id": "42fc08ad",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Plotting double bar graph\n",
+    "X_axis = np.arange(len(city_list))\n",
+    "plt.bar(X_axis - 0.2, pink_cab_city, 0.4, label = 'Pink Cabs')\n",
+    "plt.bar(X_axis + 0.2, yellow_cab_city, 0.4, label = 'Yellow Cabs')\n",
+    "\n",
+    "plt.xticks(X_axis, city_list)\n",
+    "plt.xticks(rotation=70)\n",
+    "plt.xlabel(\"Cities\")\n",
+    "plt.ylabel(\"Number of cabs per company\")\n",
+    "plt.title(\"Popularity of cabs per city\")\n",
+    "plt.legend()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 36,
+   "id": "a94065cf",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<BarContainer object of 20 artists>"
+      ]
+     },
+     "execution_count": 36,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Population per city plot\n",
+    "city.head(20)\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.set_ylabel('Population')\n",
+    "ax.set_title('Population in a city')\n",
+    "ax.set_xlabel('City')\n",
+    "ax.bar(city['City'], city['Population'])\n",
+    "plt.xticks(rotation=70)\n",
+    "plt.bar(city['City'], city['Population'], width=0.5)\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "0f0b6ffe",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<BarContainer object of 20 artists>"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "#Usage based on city\n",
+    "fig, ax = plt.subplots()\n",
+    "ax.set_ylabel('Users')\n",
+    "ax.set_title('Users in a city')\n",
+    "ax.set_xlabel('City')\n",
+    "ax.bar(city['City'], city['Users'])\n",
+    "plt.xticks(rotation=70)\n",
+    "plt.bar(city['City'], city['Users'], width=0.5)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "95fed2dd",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Merging datasets to create a master dataset\n",
+    "temp_data = pd.merge(cab_data, transaction_id)\n",
+    "temp_data_1 = pd.merge(temp_data,customer_id)\n",
+    "Master_data = pd.merge(temp_data_1, city)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 39,
+   "id": "e488ee40",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(359392, 14)"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "pd.set_option('display.max_rows',0)\n",
+    "Master_data.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "e2e4f0fb",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 359392 entries, 0 to 359391\n",
+      "Data columns (total 14 columns):\n",
+      " #   Column              Non-Null Count   Dtype  \n",
+      "---  ------              --------------   -----  \n",
+      " 0   Transaction ID      359392 non-null  int64  \n",
+      " 1   Date of Travel      359392 non-null  int64  \n",
+      " 2   Company             359392 non-null  object \n",
+      " 3   City                359392 non-null  object \n",
+      " 4   KM Travelled        359392 non-null  float64\n",
+      " 5   Price Charged       359392 non-null  float64\n",
+      " 6   Cost of Trip        359392 non-null  float64\n",
+      " 7   Customer ID         359392 non-null  int64  \n",
+      " 8   Payment_Mode        359392 non-null  object \n",
+      " 9   Gender              359392 non-null  object \n",
+      " 10  Age                 359392 non-null  int64  \n",
+      " 11  Income (USD/Month)  359392 non-null  int64  \n",
+      " 12  Population          359392 non-null  object \n",
+      " 13  Users               359392 non-null  object \n",
+      "dtypes: float64(3), int64(5), object(6)\n",
+      "memory usage: 41.1+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Information of Master dataset\n",
+    "Master_data.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "dece1c0a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Male      205912\n",
+       "Female    153480\n",
+       "Name: Gender, dtype: int64"
+      ]
+     },
+     "execution_count": 41,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Number of males and females using a cab\n",
+    "Master_data['Gender'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 42,
+   "id": "03d297ee",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Transaction ID        359392\n",
+       "Date of Travel          1095\n",
+       "Company                    2\n",
+       "City                      19\n",
+       "KM Travelled             874\n",
+       "Price Charged          99176\n",
+       "Cost of Trip           16291\n",
+       "Customer ID            46148\n",
+       "Payment_Mode               2\n",
+       "Gender                     2\n",
+       "Age                       48\n",
+       "Income (USD/Month)     22725\n",
+       "Population                19\n",
+       "Users                     19\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Unique values of columns in a dataset\n",
+    "Master_data.nunique()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "f87bcb0d",
+   "metadata": {},
+   "source": [
+    "#From above analysis we observe that, Transaction ID is unique for the entire dataset (Transaction ID is the primary key). "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 43,
+   "id": "1e2229f1",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Company = ['Pink Cab' 'Yellow Cab']\n",
+      "Gender = ['Male' 'Female']\n",
+      "Payment_mode = ['Card' 'Cash']\n",
+      "City = ['ATLANTA GA' 'AUSTIN TX' 'BOSTON MA' 'CHICAGO IL' 'DALLAS TX' 'DENVER CO'\n",
+      " 'LOS ANGELES CA' 'MIAMI FL' 'NASHVILLE TN' 'NEW YORK NY' 'ORANGE COUNTY'\n",
+      " 'PHOENIX AZ' 'PITTSBURGH PA' 'SACRAMENTO CA' 'SAN DIEGO CA' 'SEATTLE WA'\n",
+      " 'SILICON VALLEY' 'TUCSON AZ' 'WASHINGTON DC']\n",
+      "Users = [' 24,701 ' ' 14,978 ' ' 80,021 ' ' 164,468 ' ' 22,157 ' ' 12,421 '\n",
+      " ' 144,132 ' ' 17,675 ' ' 9,270 ' ' 302,149 ' ' 12,994 ' ' 6,133 '\n",
+      " ' 3,643 ' ' 7,044 ' ' 69,995 ' ' 25,063 ' ' 27,247 ' ' 5,712 '\n",
+      " ' 127,001 ']\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Unique values for given columns\n",
+    "print(f\"Company = {Master_data['Company'].unique()}\")\n",
+    "print(f\"Gender = {Master_data['Gender'].unique()}\")\n",
+    "print(f\"Payment_mode = {Master_data['Payment_Mode'].unique()}\")\n",
+    "print(f\"City = {Master_data['City'].unique()}\")\n",
+    "print(f\"Users = {Master_data['Users'].unique()}\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 44,
+   "id": "5afadf6f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Transaction ID        0\n",
+       "Date of Travel        0\n",
+       "Company               0\n",
+       "City                  0\n",
+       "KM Travelled          0\n",
+       "Price Charged         0\n",
+       "Cost of Trip          0\n",
+       "Customer ID           0\n",
+       "Payment_Mode          0\n",
+       "Gender                0\n",
+       "Age                   0\n",
+       "Income (USD/Month)    0\n",
+       "Population            0\n",
+       "Users                 0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 44,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Missing values in the dataset\n",
+    "Master_data.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 45,
+   "id": "d61ca25c",
+   "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>Transaction ID</th>\n",
+       "      <th>Date of Travel</th>\n",
+       "      <th>Company</th>\n",
+       "      <th>City</th>\n",
+       "      <th>KM Travelled</th>\n",
+       "      <th>Price Charged</th>\n",
+       "      <th>Cost of Trip</th>\n",
+       "      <th>Customer ID</th>\n",
+       "      <th>Payment_Mode</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Income (USD/Month)</th>\n",
+       "      <th>Population</th>\n",
+       "      <th>Users</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10000011</td>\n",
+       "      <td>42377</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>30.45</td>\n",
+       "      <td>370.95</td>\n",
+       "      <td>313.6350</td>\n",
+       "      <td>29290</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>28</td>\n",
+       "      <td>10813</td>\n",
+       "      <td>814,885</td>\n",
+       "      <td>24,701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>10351127</td>\n",
+       "      <td>43302</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>26.19</td>\n",
+       "      <td>598.70</td>\n",
+       "      <td>317.4228</td>\n",
+       "      <td>29290</td>\n",
+       "      <td>Cash</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>28</td>\n",
+       "      <td>10813</td>\n",
+       "      <td>814,885</td>\n",
+       "      <td>24,701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>10412921</td>\n",
+       "      <td>43427</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>42.55</td>\n",
+       "      <td>792.05</td>\n",
+       "      <td>597.4020</td>\n",
+       "      <td>29290</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>28</td>\n",
+       "      <td>10813</td>\n",
+       "      <td>814,885</td>\n",
+       "      <td>24,701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>10000012</td>\n",
+       "      <td>42375</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>28.62</td>\n",
+       "      <td>358.52</td>\n",
+       "      <td>334.8540</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814,885</td>\n",
+       "      <td>24,701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>10320494</td>\n",
+       "      <td>43211</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>36.38</td>\n",
+       "      <td>721.10</td>\n",
+       "      <td>467.1192</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814,885</td>\n",
+       "      <td>24,701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>10324737</td>\n",
+       "      <td>43224</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>6.18</td>\n",
+       "      <td>138.40</td>\n",
+       "      <td>87.5088</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>Cash</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814,885</td>\n",
+       "      <td>24,701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>10395626</td>\n",
+       "      <td>43400</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>13.39</td>\n",
+       "      <td>167.03</td>\n",
+       "      <td>141.9340</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814,885</td>\n",
+       "      <td>24,701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>10000013</td>\n",
+       "      <td>42371</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>9.04</td>\n",
+       "      <td>125.20</td>\n",
+       "      <td>97.6320</td>\n",
+       "      <td>28712</td>\n",
+       "      <td>Cash</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>53</td>\n",
+       "      <td>11242</td>\n",
+       "      <td>814,885</td>\n",
+       "      <td>24,701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>10079404</td>\n",
+       "      <td>42634</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>39.60</td>\n",
+       "      <td>704.30</td>\n",
+       "      <td>494.2080</td>\n",
+       "      <td>28712</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>53</td>\n",
+       "      <td>11242</td>\n",
+       "      <td>814,885</td>\n",
+       "      <td>24,701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10186994</td>\n",
+       "      <td>42909</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>18.19</td>\n",
+       "      <td>365.63</td>\n",
+       "      <td>246.6564</td>\n",
+       "      <td>28712</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>53</td>\n",
+       "      <td>11242</td>\n",
+       "      <td>814,885</td>\n",
+       "      <td>24,701</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Transaction ID  Date of Travel     Company        City  KM Travelled  \\\n",
+       "0        10000011           42377    Pink Cab  ATLANTA GA         30.45   \n",
+       "1        10351127           43302  Yellow Cab  ATLANTA GA         26.19   \n",
+       "2        10412921           43427  Yellow Cab  ATLANTA GA         42.55   \n",
+       "3        10000012           42375    Pink Cab  ATLANTA GA         28.62   \n",
+       "4        10320494           43211  Yellow Cab  ATLANTA GA         36.38   \n",
+       "5        10324737           43224  Yellow Cab  ATLANTA GA          6.18   \n",
+       "6        10395626           43400    Pink Cab  ATLANTA GA         13.39   \n",
+       "7        10000013           42371    Pink Cab  ATLANTA GA          9.04   \n",
+       "8        10079404           42634  Yellow Cab  ATLANTA GA         39.60   \n",
+       "9        10186994           42909  Yellow Cab  ATLANTA GA         18.19   \n",
+       "\n",
+       "   Price Charged  Cost of Trip  Customer ID Payment_Mode Gender  Age  \\\n",
+       "0         370.95      313.6350        29290         Card   Male   28   \n",
+       "1         598.70      317.4228        29290         Cash   Male   28   \n",
+       "2         792.05      597.4020        29290         Card   Male   28   \n",
+       "3         358.52      334.8540        27703         Card   Male   27   \n",
+       "4         721.10      467.1192        27703         Card   Male   27   \n",
+       "5         138.40       87.5088        27703         Cash   Male   27   \n",
+       "6         167.03      141.9340        27703         Card   Male   27   \n",
+       "7         125.20       97.6320        28712         Cash   Male   53   \n",
+       "8         704.30      494.2080        28712         Card   Male   53   \n",
+       "9         365.63      246.6564        28712         Card   Male   53   \n",
+       "\n",
+       "   Income (USD/Month) Population     Users  \n",
+       "0               10813   814,885    24,701   \n",
+       "1               10813   814,885    24,701   \n",
+       "2               10813   814,885    24,701   \n",
+       "3                9237   814,885    24,701   \n",
+       "4                9237   814,885    24,701   \n",
+       "5                9237   814,885    24,701   \n",
+       "6                9237   814,885    24,701   \n",
+       "7               11242   814,885    24,701   \n",
+       "8               11242   814,885    24,701   \n",
+       "9               11242   814,885    24,701   "
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "Master_data.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "d00a23a7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "33.60    1536\n",
+       "24.00    1080\n",
+       "22.80    1075\n",
+       "35.70    1069\n",
+       "16.80    1065\n",
+       "37.44    1062\n",
+       "39.60    1056\n",
+       "28.08     972\n",
+       "21.85     769\n",
+       "18.00     754\n",
+       "34.56     748\n",
+       "19.04     748\n",
+       "6.72      748\n",
+       "27.00     745\n",
+       "34.20     745\n",
+       "42.00     742\n",
+       "39.20     739\n",
+       "29.70     739\n",
+       "46.80     737\n",
+       "13.20     735\n",
+       "31.20     735\n",
+       "44.46     735\n",
+       "14.70     734\n",
+       "26.88     732\n",
+       "10.80     732\n",
+       "36.48     731\n",
+       "16.66     731\n",
+       "38.85     731\n",
+       "40.80     730\n",
+       "19.20     730\n",
+       "29.12     729\n",
+       "29.00     729\n",
+       "40.95     728\n",
+       "18.36     728\n",
+       "31.68     728\n",
+       "22.00     727\n",
+       "6.00      725\n",
+       "7.84      725\n",
+       "42.18     724\n",
+       "28.80     724\n",
+       "20.16     723\n",
+       "4.80      723\n",
+       "19.95     722\n",
+       "12.48     722\n",
+       "33.32     721\n",
+       "15.68     720\n",
+       "21.60     719\n",
+       "14.04     717\n",
+       "32.64     716\n",
+       "43.20     715\n",
+       "17.28     715\n",
+       "39.78     714\n",
+       "33.00     713\n",
+       "28.56     713\n",
+       "43.29     713\n",
+       "32.48     712\n",
+       "19.00     712\n",
+       "23.00     712\n",
+       "37.74     711\n",
+       "25.74     710\n",
+       "26.00     710\n",
+       "12.00     710\n",
+       "36.72     705\n",
+       "28.00     705\n",
+       "35.64     704\n",
+       "8.40      704\n",
+       "17.10     704\n",
+       "45.60     704\n",
+       "25.20     703\n",
+       "20.52     703\n",
+       "25.30     703\n",
+       "9.60      703\n",
+       "34.80     703\n",
+       "37.80     703\n",
+       "9.36      702\n",
+       "24.96     702\n",
+       "30.16     702\n",
+       "18.24     701\n",
+       "7.14      700\n",
+       "38.76     699\n",
+       "27.84     697\n",
+       "35.52     697\n",
+       "14.28     696\n",
+       "36.63     696\n",
+       "36.00     696\n",
+       "33.66     695\n",
+       "16.32     695\n",
+       "24.15     695\n",
+       "31.32     695\n",
+       "14.40     695\n",
+       "23.52     694\n",
+       "26.40     694\n",
+       "38.08     693\n",
+       "31.36     693\n",
+       "19.38     692\n",
+       "9.90      691\n",
+       "42.12     691\n",
+       "39.96     691\n",
+       "34.65     690\n",
+       "38.61     689\n",
+       "41.04     688\n",
+       "17.85     688\n",
+       "38.40     687\n",
+       "14.56     687\n",
+       "27.60     686\n",
+       "19.80     684\n",
+       "20.40     684\n",
+       "38.00     683\n",
+       "21.00     683\n",
+       "11.88     682\n",
+       "12.87     681\n",
+       "21.42     681\n",
+       "13.44     681\n",
+       "11.40     681\n",
+       "37.62     680\n",
+       "29.40     680\n",
+       "44.40     680\n",
+       "23.76     679\n",
+       "11.00     672\n",
+       "20.90     672\n",
+       "18.72     671\n",
+       "5.70      671\n",
+       "23.10     669\n",
+       "25.92     668\n",
+       "39.90     668\n",
+       "15.60     667\n",
+       "32.40     666\n",
+       "28.50     663\n",
+       "30.24     662\n",
+       "8.64      657\n",
+       "30.00     653\n",
+       "22.89     414\n",
+       "19.08     406\n",
+       "43.66     405\n",
+       "12.61     402\n",
+       "3.03      401\n",
+       "7.91      401\n",
+       "11.77     400\n",
+       "26.45     400\n",
+       "22.54     400\n",
+       "9.45      399\n",
+       "35.34     398\n",
+       "4.00      398\n",
+       "27.75     397\n",
+       "14.00     397\n",
+       "25.96     396\n",
+       "16.05     395\n",
+       "36.36     395\n",
+       "34.98     394\n",
+       "7.76      391\n",
+       "21.20     391\n",
+       "11.11     391\n",
+       "31.04     391\n",
+       "32.24     391\n",
+       "11.60     390\n",
+       "4.32      389\n",
+       "33.35     389\n",
+       "6.48      389\n",
+       "30.40     388\n",
+       "4.24      388\n",
+       "27.37     388\n",
+       "23.80     388\n",
+       "31.90     388\n",
+       "42.80     388\n",
+       "15.40     387\n",
+       "3.18      387\n",
+       "23.23     387\n",
+       "13.92     387\n",
+       "25.75     386\n",
+       "39.27     386\n",
+       "46.02     385\n",
+       "39.44     385\n",
+       "33.28     385\n",
+       "24.36     385\n",
+       "8.72      385\n",
+       "4.56      384\n",
+       "37.24     384\n",
+       "14.82     384\n",
+       "34.30     384\n",
+       "1.96      383\n",
+       "19.19     383\n",
+       "30.78     383\n",
+       "28.34     383\n",
+       "37.12     383\n",
+       "17.55     383\n",
+       "32.98     382\n",
+       "26.50     382\n",
+       "13.56     382\n",
+       "13.26     382\n",
+       "8.08      381\n",
+       "47.60     381\n",
+       "5.45      381\n",
+       "23.40     381\n",
+       "34.51     380\n",
+       "46.41     380\n",
+       "15.15     380\n",
+       "31.92     380\n",
+       "7.49      380\n",
+       "9.54      380\n",
+       "3.09      380\n",
+       "40.56     380\n",
+       "23.28     379\n",
+       "4.08      379\n",
+       "2.88      379\n",
+       "9.12      379\n",
+       "32.19     379\n",
+       "41.42     379\n",
+       "27.27     379\n",
+       "8.26      378\n",
+       "42.94     378\n",
+       "28.62     378\n",
+       "10.78     378\n",
+       "13.68     378\n",
+       "17.68     378\n",
+       "16.65     378\n",
+       "4.04      378\n",
+       "47.20     378\n",
+       "10.26     378\n",
+       "22.60     378\n",
+       "37.83     377\n",
+       "2.94      377\n",
+       "21.12     377\n",
+       "17.00     377\n",
+       "18.43     377\n",
+       "21.47     377\n",
+       "31.61     377\n",
+       "9.99      377\n",
+       "10.00     376\n",
+       "11.52     376\n",
+       "5.35      376\n",
+       "8.19      376\n",
+       "19.44     376\n",
+       "27.82     376\n",
+       "33.04     376\n",
+       "26.19     376\n",
+       "2.36      376\n",
+       "11.70     376\n",
+       "6.65      376\n",
+       "19.57     375\n",
+       "5.80      375\n",
+       "6.36      375\n",
+       "24.20     375\n",
+       "29.68     375\n",
+       "9.09      375\n",
+       "33.64     375\n",
+       "1.92      375\n",
+       "28.42     375\n",
+       "20.80     374\n",
+       "3.84      374\n",
+       "7.02      374\n",
+       "25.65     374\n",
+       "8.12      374\n",
+       "17.92     374\n",
+       "29.16     374\n",
+       "12.32     374\n",
+       "2.30      374\n",
+       "20.70     374\n",
+       "1.98      374\n",
+       "5.65      374\n",
+       "40.68     374\n",
+       "33.17     373\n",
+       "7.42      373\n",
+       "41.60     373\n",
+       "9.44      373\n",
+       "16.38     373\n",
+       "10.56     373\n",
+       "11.50     373\n",
+       "10.44     373\n",
+       "5.25      373\n",
+       "15.26     373\n",
+       "10.53     373\n",
+       "22.77     372\n",
+       "8.00      372\n",
+       "12.21     372\n",
+       "32.70     372\n",
+       "17.12     372\n",
+       "19.26     372\n",
+       "13.52     372\n",
+       "29.87     372\n",
+       "15.47     372\n",
+       "30.68     372\n",
+       "16.20     372\n",
+       "30.38     372\n",
+       "31.03     372\n",
+       "10.71     372\n",
+       "33.92     371\n",
+       "4.90      371\n",
+       "25.25     371\n",
+       "6.79      371\n",
+       "41.40     371\n",
+       "12.43     371\n",
+       "9.00      371\n",
+       "17.44     370\n",
+       "4.20      370\n",
+       "32.96     370\n",
+       "21.34     370\n",
+       "5.88      370\n",
+       "8.56      370\n",
+       "37.76     370\n",
+       "23.75     370\n",
+       "29.25     370\n",
+       "44.07     369\n",
+       "36.40     369\n",
+       "23.94     369\n",
+       "22.23     369\n",
+       "31.86     369\n",
+       "2.08      369\n",
+       "31.64     369\n",
+       "26.26     368\n",
+       "3.33      368\n",
+       "35.84     368\n",
+       "35.00     368\n",
+       "22.05     368\n",
+       "35.96     368\n",
+       "14.17     368\n",
+       "16.96     368\n",
+       "38.88     368\n",
+       "39.10     368\n",
+       "39.14     368\n",
+       "23.60     368\n",
+       "22.68     368\n",
+       "16.50     368\n",
+       "23.04     368\n",
+       "22.31     368\n",
+       "36.10     367\n",
+       "12.12     367\n",
+       "14.95     367\n",
+       "36.86     367\n",
+       "4.76      367\n",
+       "7.00      367\n",
+       "2.14      367\n",
+       "21.63     367\n",
+       "17.60     367\n",
+       "9.20      367\n",
+       "37.40     367\n",
+       "3.42      366\n",
+       "12.98     366\n",
+       "39.24     366\n",
+       "39.00     366\n",
+       "27.81     366\n",
+       "16.83     366\n",
+       "13.78     366\n",
+       "17.76     366\n",
+       "21.78     366\n",
+       "6.66      366\n",
+       "17.64     366\n",
+       "30.69     366\n",
+       "48.00     366\n",
+       "26.52     365\n",
+       "42.92     365\n",
+       "29.50     365\n",
+       "41.76     365\n",
+       "11.90     365\n",
+       "18.08     365\n",
+       "20.14     365\n",
+       "20.33     365\n",
+       "10.90     365\n",
+       "36.26     365\n",
+       "40.33     365\n",
+       "44.08     365\n",
+       "16.95     365\n",
+       "27.44     365\n",
+       "15.54     364\n",
+       "25.08     364\n",
+       "41.81     364\n",
+       "3.27      364\n",
+       "34.10     364\n",
+       "23.69     364\n",
+       "6.12      364\n",
+       "10.89     364\n",
+       "21.21     364\n",
+       "39.22     364\n",
+       "27.56     364\n",
+       "29.38     364\n",
+       "5.55      363\n",
+       "31.59     363\n",
+       "6.42      363\n",
+       "45.24     363\n",
+       "25.48     363\n",
+       "7.56      363\n",
+       "41.73     363\n",
+       "30.42     363\n",
+       "4.60      363\n",
+       "35.28     363\n",
+       "16.24     363\n",
+       "14.14     363\n",
+       "18.19     363\n",
+       "26.91     363\n",
+       "34.88     363\n",
+       "15.84     363\n",
+       "2.18      362\n",
+       "14.25     362\n",
+       "3.06      362\n",
+       "22.44     362\n",
+       "37.10     362\n",
+       "2.00      362\n",
+       "23.54     362\n",
+       "10.60     362\n",
+       "10.45     362\n",
+       "34.24     362\n",
+       "16.48     362\n",
+       "7.60      362\n",
+       "40.32     362\n",
+       "10.08     362\n",
+       "23.92     362\n",
+       "20.06     362\n",
+       "31.80     362\n",
+       "15.30     362\n",
+       "2.32      361\n",
+       "5.94      361\n",
+       "24.50     361\n",
+       "26.75     361\n",
+       "28.28     361\n",
+       "2.22      361\n",
+       "29.10     361\n",
+       "8.73      361\n",
+       "35.35     361\n",
+       "40.25     360\n",
+       "5.90      360\n",
+       "35.40     360\n",
+       "3.48      360\n",
+       "35.36     360\n",
+       "33.93     360\n",
+       "25.22     360\n",
+       "3.88      360\n",
+       "26.18     360\n",
+       "18.87     360\n",
+       "24.48     359\n",
+       "20.37     359\n",
+       "10.35     359\n",
+       "3.30      359\n",
+       "18.81     359\n",
+       "37.29     359\n",
+       "38.22     359\n",
+       "5.05      359\n",
+       "6.78      359\n",
+       "16.35     359\n",
+       "15.45     359\n",
+       "13.91     359\n",
+       "44.85     359\n",
+       "18.05     359\n",
+       "9.50      359\n",
+       "34.72     359\n",
+       "33.79     358\n",
+       "26.22     358\n",
+       "42.90     358\n",
+       "23.32     358\n",
+       "17.46     358\n",
+       "2.04      358\n",
+       "13.39     358\n",
+       "36.75     358\n",
+       "11.64     358\n",
+       "11.55     358\n",
+       "20.23     358\n",
+       "3.80      358\n",
+       "27.54     358\n",
+       "36.58     358\n",
+       "22.26     358\n",
+       "13.09     358\n",
+       "43.68     358\n",
+       "33.25     358\n",
+       "10.20     358\n",
+       "35.03     358\n",
+       "24.72     357\n",
+       "43.60     357\n",
+       "31.00     357\n",
+       "24.84     357\n",
+       "35.31     357\n",
+       "25.44     357\n",
+       "29.43     357\n",
+       "18.70     357\n",
+       "3.12      357\n",
+       "12.74     357\n",
+       "41.34     357\n",
+       "6.96      357\n",
+       "33.48     357\n",
+       "42.56     357\n",
+       "11.10     356\n",
+       "26.78     356\n",
+       "46.40     356\n",
+       "9.70      356\n",
+       "9.72      356\n",
+       "45.20     356\n",
+       "7.77      356\n",
+       "40.46     356\n",
+       "40.12     356\n",
+       "19.60     356\n",
+       "38.16     356\n",
+       "19.98     356\n",
+       "24.99     355\n",
+       "29.45     355\n",
+       "24.38     355\n",
+       "20.79     355\n",
+       "14.84     355\n",
+       "2.97      355\n",
+       "31.50     355\n",
+       "11.44     355\n",
+       "16.16     355\n",
+       "33.30     355\n",
+       "29.75     355\n",
+       "5.50      355\n",
+       "19.76     355\n",
+       "26.25     354\n",
+       "27.72     354\n",
+       "7.08      354\n",
+       "20.00     354\n",
+       "39.55     354\n",
+       "28.71     354\n",
+       "32.86     354\n",
+       "5.00      354\n",
+       "28.60     354\n",
+       "25.50     354\n",
+       "13.80     354\n",
+       "25.68     354\n",
+       "5.60      354\n",
+       "38.94     354\n",
+       "12.54     353\n",
+       "41.80     353\n",
+       "22.04     353\n",
+       "17.82     353\n",
+       "20.71     353\n",
+       "17.51     353\n",
+       "37.95     353\n",
+       "13.13     353\n",
+       "18.88     353\n",
+       "15.08     353\n",
+       "31.05     353\n",
+       "5.30      353\n",
+       "25.52     353\n",
+       "4.48      353\n",
+       "30.45     352\n",
+       "13.30     352\n",
+       "11.80     352\n",
+       "40.28     352\n",
+       "4.64      352\n",
+       "3.57      352\n",
+       "30.07     352\n",
+       "35.65     352\n",
+       "36.96     352\n",
+       "4.40      352\n",
+       "2.16      352\n",
+       "28.75     352\n",
+       "5.76      352\n",
+       "15.21     352\n",
+       "36.80     352\n",
+       "27.50     352\n",
+       "41.44     352\n",
+       "24.42     352\n",
+       "11.20     351\n",
+       "44.80     351\n",
+       "9.80      351\n",
+       "40.70     351\n",
+       "6.84      351\n",
+       "6.86      351\n",
+       "10.10     351\n",
+       "6.90      351\n",
+       "8.16      351\n",
+       "19.40     351\n",
+       "12.35     351\n",
+       "29.64     351\n",
+       "44.03     351\n",
+       "28.89     351\n",
+       "22.20     351\n",
+       "38.80     351\n",
+       "28.32     351\n",
+       "28.25     350\n",
+       "23.73     350\n",
+       "4.68      350\n",
+       "11.30     350\n",
+       "7.98      350\n",
+       "22.66     350\n",
+       "32.01     350\n",
+       "7.92      350\n",
+       "43.32     350\n",
+       "7.70      350\n",
+       "3.92      350\n",
+       "15.34     350\n",
+       "9.28      350\n",
+       "19.89     350\n",
+       "21.40     350\n",
+       "33.90     350\n",
+       "42.55     350\n",
+       "40.60     349\n",
+       "36.38     349\n",
+       "40.40     349\n",
+       "5.15      349\n",
+       "26.46     349\n",
+       "27.16     349\n",
+       "30.72     349\n",
+       "18.40     349\n",
+       "24.25     349\n",
+       "8.05      349\n",
+       "41.30     349\n",
+       "16.00     349\n",
+       "6.24      349\n",
+       "23.20     349\n",
+       "20.88     349\n",
+       "13.65     349\n",
+       "23.46     348\n",
+       "25.76     348\n",
+       "13.32     348\n",
+       "13.58     348\n",
+       "15.82     348\n",
+       "12.65     348\n",
+       "23.98     348\n",
+       "15.20     348\n",
+       "28.84     348\n",
+       "30.80     348\n",
+       "36.04     348\n",
+       "3.00      348\n",
+       "28.13     348\n",
+       "33.06     347\n",
+       "5.75      347\n",
+       "38.38     347\n",
+       "34.92     347\n",
+       "18.18     347\n",
+       "11.66     347\n",
+       "5.20      347\n",
+       "35.02     347\n",
+       "17.40     347\n",
+       "21.66     347\n",
+       "20.60     347\n",
+       "5.95      347\n",
+       "24.78     347\n",
+       "27.55     347\n",
+       "8.33      347\n",
+       "12.72     347\n",
+       "24.75     346\n",
+       "16.52     346\n",
+       "34.68     346\n",
+       "14.16     346\n",
+       "9.27      346\n",
+       "2.06      346\n",
+       "37.08     346\n",
+       "8.82      346\n",
+       "22.88     346\n",
+       "15.00     346\n",
+       "18.90     346\n",
+       "8.88      346\n",
+       "15.96     346\n",
+       "7.68      346\n",
+       "39.59     346\n",
+       "25.53     346\n",
+       "8.96      346\n",
+       "29.29     346\n",
+       "7.63      345\n",
+       "4.36      345\n",
+       "19.21     345\n",
+       "24.70     345\n",
+       "3.21      345\n",
+       "17.34     345\n",
+       "12.36     345\n",
+       "37.05     345\n",
+       "3.36      345\n",
+       "45.22     345\n",
+       "23.31     345\n",
+       "36.89     345\n",
+       "35.10     345\n",
+       "29.76     345\n",
+       "3.24      344\n",
+       "17.25     344\n",
+       "10.50     344\n",
+       "21.56     344\n",
+       "32.00     344\n",
+       "15.52     344\n",
+       "4.85      344\n",
+       "26.68     344\n",
+       "27.04     344\n",
+       "7.21      344\n",
+       "6.18      344\n",
+       "3.39      344\n",
+       "34.00     344\n",
+       "2.24      344\n",
+       "7.20      344\n",
+       "35.97     344\n",
+       "45.63     344\n",
+       "11.76     344\n",
+       "4.28      344\n",
+       "38.50     344\n",
+       "5.40      344\n",
+       "40.00     344\n",
+       "13.08     344\n",
+       "30.90     344\n",
+       "28.35     343\n",
+       "31.31     343\n",
+       "38.28     343\n",
+       "27.25     343\n",
+       "35.89     343\n",
+       "12.60     343\n",
+       "18.02     343\n",
+       "9.04      343\n",
+       "42.84     342\n",
+       "4.44      342\n",
+       "11.22     342\n",
+       "3.45      342\n",
+       "22.47     342\n",
+       "28.86     342\n",
+       "36.16     342\n",
+       "13.86     342\n",
+       "20.20     342\n",
+       "37.45     342\n",
+       "10.17     342\n",
+       "18.62     341\n",
+       "39.52     341\n",
+       "36.30     341\n",
+       "21.80     341\n",
+       "38.15     341\n",
+       "29.97     341\n",
+       "2.02      341\n",
+       "4.16      341\n",
+       "19.72     341\n",
+       "4.95      341\n",
+       "4.72      341\n",
+       "19.62     341\n",
+       "3.60      341\n",
+       "15.12     340\n",
+       "29.90     340\n",
+       "16.10     340\n",
+       "34.22     340\n",
+       "32.10     340\n",
+       "37.37     340\n",
+       "13.00     340\n",
+       "17.17     340\n",
+       "7.07      339\n",
+       "10.70     339\n",
+       "1.90      339\n",
+       "10.40     339\n",
+       "3.54      339\n",
+       "27.12     339\n",
+       "26.73     339\n",
+       "13.72     339\n",
+       "24.64     339\n",
+       "8.32      339\n",
+       "6.06      338\n",
+       "32.76     338\n",
+       "15.90     338\n",
+       "2.38      338\n",
+       "34.32     338\n",
+       "32.55     338\n",
+       "10.30     338\n",
+       "24.86     338\n",
+       "20.34     338\n",
+       "4.75      338\n",
+       "40.17     337\n",
+       "30.51     337\n",
+       "15.36     337\n",
+       "8.24      337\n",
+       "6.30      337\n",
+       "21.09     337\n",
+       "2.12      337\n",
+       "11.33     337\n",
+       "12.84     337\n",
+       "33.99     337\n",
+       "27.30     337\n",
+       "3.96      336\n",
+       "2.91      336\n",
+       "6.54      336\n",
+       "14.85     336\n",
+       "7.28      336\n",
+       "30.74     336\n",
+       "14.55     336\n",
+       "40.66     336\n",
+       "46.00     336\n",
+       "2.26      336\n",
+       "2.28      335\n",
+       "22.61     335\n",
+       "32.13     335\n",
+       "24.57     335\n",
+       "26.16     335\n",
+       "24.24     335\n",
+       "14.30     335\n",
+       "8.91      334\n",
+       "2.40      334\n",
+       "8.48      334\n",
+       "38.42     334\n",
+       "16.49     334\n",
+       "34.41     333\n",
+       "10.67     333\n",
+       "18.54     333\n",
+       "37.20     333\n",
+       "43.70     333\n",
+       "32.32     333\n",
+       "12.76     333\n",
+       "34.50     333\n",
+       "4.52      332\n",
+       "17.70     332\n",
+       "2.20      332\n",
+       "21.24     332\n",
+       "27.36     332\n",
+       "4.12      332\n",
+       "26.60     332\n",
+       "3.15      332\n",
+       "32.20     332\n",
+       "21.06     332\n",
+       "42.51     331\n",
+       "32.34     331\n",
+       "33.95     331\n",
+       "38.11     331\n",
+       "9.18      331\n",
+       "20.58     331\n",
+       "22.40     331\n",
+       "24.61     331\n",
+       "41.65     331\n",
+       "32.77     330\n",
+       "31.62     330\n",
+       "6.93      330\n",
+       "44.00     330\n",
+       "31.35     329\n",
+       "1.94      329\n",
+       "18.56     329\n",
+       "15.75     329\n",
+       "34.34     329\n",
+       "35.20     328\n",
+       "10.62     328\n",
+       "22.42     328\n",
+       "6.60      327\n",
+       "33.33     327\n",
+       "8.55      327\n",
+       "16.64     327\n",
+       "9.81      327\n",
+       "18.53     326\n",
+       "35.15     326\n",
+       "14.43     325\n",
+       "38.52     325\n",
+       "25.99     325\n",
+       "22.22     325\n",
+       "14.69     325\n",
+       "9.63      325\n",
+       "19.55     324\n",
+       "37.00     324\n",
+       "16.15     324\n",
+       "11.99     324\n",
+       "32.30     324\n",
+       "26.64     324\n",
+       "9.52      324\n",
+       "7.35      323\n",
+       "2.34      323\n",
+       "41.20     323\n",
+       "21.28     322\n",
+       "12.96     322\n",
+       "8.80      322\n",
+       "32.67     321\n",
+       "2.10      321\n",
+       "30.30     321\n",
+       "12.10     320\n",
+       "41.07     320\n",
+       "42.48     320\n",
+       "29.96     320\n",
+       "42.40     320\n",
+       "14.42     319\n",
+       "36.05     319\n",
+       "44.84     318\n",
+       "30.52     318\n",
+       "22.08     318\n",
+       "14.98     317\n",
+       "5.85      316\n",
+       "31.93     316\n",
+       "2.85      316\n",
+       "30.94     315\n",
+       "5.10      315\n",
+       "27.14     315\n",
+       "30.60     314\n",
+       "31.08     314\n",
+       "36.27     313\n",
+       "38.48     313\n",
+       "37.06     313\n",
+       "5.82      313\n",
+       "25.07     312\n",
+       "25.00     312\n",
+       "29.58     308\n",
+       "12.24     306\n",
+       "3.51      301\n",
+       "39.39     300\n",
+       "21.84     293\n",
+       "Name: KM Travelled, dtype: int64"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Frequency of KM. travelled in the dataset\n",
+    "pd.set_option('display.max_rows',1000)\n",
+    "Master_data['KM Travelled'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 47,
+   "id": "88a20013",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 359392 entries, 0 to 359391\n",
+      "Data columns (total 14 columns):\n",
+      " #   Column              Non-Null Count   Dtype  \n",
+      "---  ------              --------------   -----  \n",
+      " 0   Transaction ID      359392 non-null  int64  \n",
+      " 1   Date of Travel      359392 non-null  int64  \n",
+      " 2   Company             359392 non-null  object \n",
+      " 3   City                359392 non-null  object \n",
+      " 4   KM Travelled        359392 non-null  float64\n",
+      " 5   Price Charged       359392 non-null  float64\n",
+      " 6   Cost of Trip        359392 non-null  float64\n",
+      " 7   Customer ID         359392 non-null  int64  \n",
+      " 8   Payment_Mode        359392 non-null  object \n",
+      " 9   Gender              359392 non-null  object \n",
+      " 10  Age                 359392 non-null  int64  \n",
+      " 11  Income (USD/Month)  359392 non-null  int64  \n",
+      " 12  Population          359392 non-null  object \n",
+      " 13  Users               359392 non-null  object \n",
+      "dtypes: float64(3), int64(5), object(6)\n",
+      "memory usage: 41.1+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "#Information in dataset\n",
+    "Master_data.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "id": "9555ff4f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "#Transforming population and users into int dtype\n",
+    "arr_population = list(Master_data['Population'])\n",
+    "arr_users = list(Master_data['Users'])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 49,
+   "id": "633768e2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "temp_int_population = []\n",
+    "temp_int_users = []\n",
+    "for i in range(0,len(arr_population)):\n",
+    "    str_population = arr_population[i].replace(',',\"\")\n",
+    "    str_users = arr_users[i].replace(',',\"\")\n",
+    "    temp_int_population.append(int(str_population))\n",
+    "    temp_int_users.append(int(str_users))"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "e67b5ed0",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Master_data['New Population'] = temp_int_population\n",
+    "Master_data['New Users'] = temp_int_users"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "f5ee5ac5",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "<class 'pandas.core.frame.DataFrame'>\n",
+      "Int64Index: 359392 entries, 0 to 359391\n",
+      "Data columns (total 16 columns):\n",
+      " #   Column              Non-Null Count   Dtype  \n",
+      "---  ------              --------------   -----  \n",
+      " 0   Transaction ID      359392 non-null  int64  \n",
+      " 1   Date of Travel      359392 non-null  int64  \n",
+      " 2   Company             359392 non-null  object \n",
+      " 3   City                359392 non-null  object \n",
+      " 4   KM Travelled        359392 non-null  float64\n",
+      " 5   Price Charged       359392 non-null  float64\n",
+      " 6   Cost of Trip        359392 non-null  float64\n",
+      " 7   Customer ID         359392 non-null  int64  \n",
+      " 8   Payment_Mode        359392 non-null  object \n",
+      " 9   Gender              359392 non-null  object \n",
+      " 10  Age                 359392 non-null  int64  \n",
+      " 11  Income (USD/Month)  359392 non-null  int64  \n",
+      " 12  Population          359392 non-null  object \n",
+      " 13  Users               359392 non-null  object \n",
+      " 14  New Population      359392 non-null  int64  \n",
+      " 15  New Users           359392 non-null  int64  \n",
+      "dtypes: float64(3), int64(7), object(6)\n",
+      "memory usage: 46.6+ MB\n"
+     ]
+    }
+   ],
+   "source": [
+    "Master_data.info()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "8ba4e980",
+   "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>Transaction ID</th>\n",
+       "      <th>Date of Travel</th>\n",
+       "      <th>Company</th>\n",
+       "      <th>City</th>\n",
+       "      <th>KM Travelled</th>\n",
+       "      <th>Price Charged</th>\n",
+       "      <th>Cost of Trip</th>\n",
+       "      <th>Customer ID</th>\n",
+       "      <th>Payment_Mode</th>\n",
+       "      <th>Gender</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Income (USD/Month)</th>\n",
+       "      <th>New Population</th>\n",
+       "      <th>New Users</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10000011</td>\n",
+       "      <td>42377</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>30.45</td>\n",
+       "      <td>370.95</td>\n",
+       "      <td>313.6350</td>\n",
+       "      <td>29290</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>28</td>\n",
+       "      <td>10813</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>10351127</td>\n",
+       "      <td>43302</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>26.19</td>\n",
+       "      <td>598.70</td>\n",
+       "      <td>317.4228</td>\n",
+       "      <td>29290</td>\n",
+       "      <td>Cash</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>28</td>\n",
+       "      <td>10813</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>10412921</td>\n",
+       "      <td>43427</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>42.55</td>\n",
+       "      <td>792.05</td>\n",
+       "      <td>597.4020</td>\n",
+       "      <td>29290</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>28</td>\n",
+       "      <td>10813</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>10000012</td>\n",
+       "      <td>42375</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>28.62</td>\n",
+       "      <td>358.52</td>\n",
+       "      <td>334.8540</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>10320494</td>\n",
+       "      <td>43211</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>36.38</td>\n",
+       "      <td>721.10</td>\n",
+       "      <td>467.1192</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>10324737</td>\n",
+       "      <td>43224</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>6.18</td>\n",
+       "      <td>138.40</td>\n",
+       "      <td>87.5088</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>Cash</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>10395626</td>\n",
+       "      <td>43400</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>13.39</td>\n",
+       "      <td>167.03</td>\n",
+       "      <td>141.9340</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>10000013</td>\n",
+       "      <td>42371</td>\n",
+       "      <td>Pink Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>9.04</td>\n",
+       "      <td>125.20</td>\n",
+       "      <td>97.6320</td>\n",
+       "      <td>28712</td>\n",
+       "      <td>Cash</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>53</td>\n",
+       "      <td>11242</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>10079404</td>\n",
+       "      <td>42634</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>39.60</td>\n",
+       "      <td>704.30</td>\n",
+       "      <td>494.2080</td>\n",
+       "      <td>28712</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>53</td>\n",
+       "      <td>11242</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10186994</td>\n",
+       "      <td>42909</td>\n",
+       "      <td>Yellow Cab</td>\n",
+       "      <td>ATLANTA GA</td>\n",
+       "      <td>18.19</td>\n",
+       "      <td>365.63</td>\n",
+       "      <td>246.6564</td>\n",
+       "      <td>28712</td>\n",
+       "      <td>Card</td>\n",
+       "      <td>Male</td>\n",
+       "      <td>53</td>\n",
+       "      <td>11242</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Transaction ID  Date of Travel     Company        City  KM Travelled  \\\n",
+       "0        10000011           42377    Pink Cab  ATLANTA GA         30.45   \n",
+       "1        10351127           43302  Yellow Cab  ATLANTA GA         26.19   \n",
+       "2        10412921           43427  Yellow Cab  ATLANTA GA         42.55   \n",
+       "3        10000012           42375    Pink Cab  ATLANTA GA         28.62   \n",
+       "4        10320494           43211  Yellow Cab  ATLANTA GA         36.38   \n",
+       "5        10324737           43224  Yellow Cab  ATLANTA GA          6.18   \n",
+       "6        10395626           43400    Pink Cab  ATLANTA GA         13.39   \n",
+       "7        10000013           42371    Pink Cab  ATLANTA GA          9.04   \n",
+       "8        10079404           42634  Yellow Cab  ATLANTA GA         39.60   \n",
+       "9        10186994           42909  Yellow Cab  ATLANTA GA         18.19   \n",
+       "\n",
+       "   Price Charged  Cost of Trip  Customer ID Payment_Mode Gender  Age  \\\n",
+       "0         370.95      313.6350        29290         Card   Male   28   \n",
+       "1         598.70      317.4228        29290         Cash   Male   28   \n",
+       "2         792.05      597.4020        29290         Card   Male   28   \n",
+       "3         358.52      334.8540        27703         Card   Male   27   \n",
+       "4         721.10      467.1192        27703         Card   Male   27   \n",
+       "5         138.40       87.5088        27703         Cash   Male   27   \n",
+       "6         167.03      141.9340        27703         Card   Male   27   \n",
+       "7         125.20       97.6320        28712         Cash   Male   53   \n",
+       "8         704.30      494.2080        28712         Card   Male   53   \n",
+       "9         365.63      246.6564        28712         Card   Male   53   \n",
+       "\n",
+       "   Income (USD/Month)  New Population  New Users  \n",
+       "0               10813          814885      24701  \n",
+       "1               10813          814885      24701  \n",
+       "2               10813          814885      24701  \n",
+       "3                9237          814885      24701  \n",
+       "4                9237          814885      24701  \n",
+       "5                9237          814885      24701  \n",
+       "6                9237          814885      24701  \n",
+       "7               11242          814885      24701  \n",
+       "8               11242          814885      24701  \n",
+       "9               11242          814885      24701  "
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "columns_to_drop = ['Population','Users']\n",
+    "Master_data = Master_data.drop(columns_to_drop, axis=1)\n",
+    "Master_data.head(10)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 53,
+   "id": "245a100e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "Master_data = pd.get_dummies(Master_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 54,
+   "id": "fa0a363e",
+   "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>Transaction ID</th>\n",
+       "      <th>Date of Travel</th>\n",
+       "      <th>KM Travelled</th>\n",
+       "      <th>Price Charged</th>\n",
+       "      <th>Cost of Trip</th>\n",
+       "      <th>Customer ID</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Income (USD/Month)</th>\n",
+       "      <th>New Population</th>\n",
+       "      <th>New Users</th>\n",
+       "      <th>...</th>\n",
+       "      <th>City_SACRAMENTO CA</th>\n",
+       "      <th>City_SAN DIEGO CA</th>\n",
+       "      <th>City_SEATTLE WA</th>\n",
+       "      <th>City_SILICON VALLEY</th>\n",
+       "      <th>City_TUCSON AZ</th>\n",
+       "      <th>City_WASHINGTON DC</th>\n",
+       "      <th>Payment_Mode_Card</th>\n",
+       "      <th>Payment_Mode_Cash</th>\n",
+       "      <th>Gender_Female</th>\n",
+       "      <th>Gender_Male</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>10000011</td>\n",
+       "      <td>42377</td>\n",
+       "      <td>30.45</td>\n",
+       "      <td>370.95</td>\n",
+       "      <td>313.6350</td>\n",
+       "      <td>29290</td>\n",
+       "      <td>28</td>\n",
+       "      <td>10813</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>10351127</td>\n",
+       "      <td>43302</td>\n",
+       "      <td>26.19</td>\n",
+       "      <td>598.70</td>\n",
+       "      <td>317.4228</td>\n",
+       "      <td>29290</td>\n",
+       "      <td>28</td>\n",
+       "      <td>10813</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>10412921</td>\n",
+       "      <td>43427</td>\n",
+       "      <td>42.55</td>\n",
+       "      <td>792.05</td>\n",
+       "      <td>597.4020</td>\n",
+       "      <td>29290</td>\n",
+       "      <td>28</td>\n",
+       "      <td>10813</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>10000012</td>\n",
+       "      <td>42375</td>\n",
+       "      <td>28.62</td>\n",
+       "      <td>358.52</td>\n",
+       "      <td>334.8540</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>10320494</td>\n",
+       "      <td>43211</td>\n",
+       "      <td>36.38</td>\n",
+       "      <td>721.10</td>\n",
+       "      <td>467.1192</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>10324737</td>\n",
+       "      <td>43224</td>\n",
+       "      <td>6.18</td>\n",
+       "      <td>138.40</td>\n",
+       "      <td>87.5088</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>10395626</td>\n",
+       "      <td>43400</td>\n",
+       "      <td>13.39</td>\n",
+       "      <td>167.03</td>\n",
+       "      <td>141.9340</td>\n",
+       "      <td>27703</td>\n",
+       "      <td>27</td>\n",
+       "      <td>9237</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>10000013</td>\n",
+       "      <td>42371</td>\n",
+       "      <td>9.04</td>\n",
+       "      <td>125.20</td>\n",
+       "      <td>97.6320</td>\n",
+       "      <td>28712</td>\n",
+       "      <td>53</td>\n",
+       "      <td>11242</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>10079404</td>\n",
+       "      <td>42634</td>\n",
+       "      <td>39.60</td>\n",
+       "      <td>704.30</td>\n",
+       "      <td>494.2080</td>\n",
+       "      <td>28712</td>\n",
+       "      <td>53</td>\n",
+       "      <td>11242</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>10186994</td>\n",
+       "      <td>42909</td>\n",
+       "      <td>18.19</td>\n",
+       "      <td>365.63</td>\n",
+       "      <td>246.6564</td>\n",
+       "      <td>28712</td>\n",
+       "      <td>53</td>\n",
+       "      <td>11242</td>\n",
+       "      <td>814885</td>\n",
+       "      <td>24701</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>10 rows × 35 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Transaction ID  Date of Travel  KM Travelled  Price Charged  Cost of Trip  \\\n",
+       "0        10000011           42377         30.45         370.95      313.6350   \n",
+       "1        10351127           43302         26.19         598.70      317.4228   \n",
+       "2        10412921           43427         42.55         792.05      597.4020   \n",
+       "3        10000012           42375         28.62         358.52      334.8540   \n",
+       "4        10320494           43211         36.38         721.10      467.1192   \n",
+       "5        10324737           43224          6.18         138.40       87.5088   \n",
+       "6        10395626           43400         13.39         167.03      141.9340   \n",
+       "7        10000013           42371          9.04         125.20       97.6320   \n",
+       "8        10079404           42634         39.60         704.30      494.2080   \n",
+       "9        10186994           42909         18.19         365.63      246.6564   \n",
+       "\n",
+       "   Customer ID  Age  Income (USD/Month)  New Population  New Users  ...  \\\n",
+       "0        29290   28               10813          814885      24701  ...   \n",
+       "1        29290   28               10813          814885      24701  ...   \n",
+       "2        29290   28               10813          814885      24701  ...   \n",
+       "3        27703   27                9237          814885      24701  ...   \n",
+       "4        27703   27                9237          814885      24701  ...   \n",
+       "5        27703   27                9237          814885      24701  ...   \n",
+       "6        27703   27                9237          814885      24701  ...   \n",
+       "7        28712   53               11242          814885      24701  ...   \n",
+       "8        28712   53               11242          814885      24701  ...   \n",
+       "9        28712   53               11242          814885      24701  ...   \n",
+       "\n",
+       "   City_SACRAMENTO CA  City_SAN DIEGO CA  City_SEATTLE WA  \\\n",
+       "0                   0                  0                0   \n",
+       "1                   0                  0                0   \n",
+       "2                   0                  0                0   \n",
+       "3                   0                  0                0   \n",
+       "4                   0                  0                0   \n",
+       "5                   0                  0                0   \n",
+       "6                   0                  0                0   \n",
+       "7                   0                  0                0   \n",
+       "8                   0                  0                0   \n",
+       "9                   0                  0                0   \n",
+       "\n",
+       "   City_SILICON VALLEY  City_TUCSON AZ  City_WASHINGTON DC  Payment_Mode_Card  \\\n",
+       "0                    0               0                   0                  1   \n",
+       "1                    0               0                   0                  0   \n",
+       "2                    0               0                   0                  1   \n",
+       "3                    0               0                   0                  1   \n",
+       "4                    0               0                   0                  1   \n",
+       "5                    0               0                   0                  0   \n",
+       "6                    0               0                   0                  1   \n",
+       "7                    0               0                   0                  0   \n",
+       "8                    0               0                   0                  1   \n",
+       "9                    0               0                   0                  1   \n",
+       "\n",
+       "   Payment_Mode_Cash  Gender_Female  Gender_Male  \n",
+       "0                  0              0            1  \n",
+       "1                  1              0            1  \n",
+       "2                  0              0            1  \n",
+       "3                  0              0            1  \n",
+       "4                  0              0            1  \n",
+       "5                  1              0            1  \n",
+       "6                  0              0            1  \n",
+       "7                  1              0            1  \n",
+       "8                  0              0            1  \n",
+       "9                  0              0            1  \n",
+       "\n",
+       "[10 rows x 35 columns]"
+      ]
+     },
+     "execution_count": 54,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "#Final Merged dataset\n",
+    "Master_data.head(10)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "94fb6d40",
+   "metadata": {},
+   "source": [
+    "The EDA results are as follows:\n",
+    "1. The data is taken from 20 cities in the USA.\n",
+    "2. The number of users in a city is directly proportional to the population of that city. That means the city with the highest population has the highest number of users.\n",
+    "3. Though NY doesn't have the highest population, yet it has the highest taxi usage out of which the yellow cab is most popular.\n",
+    "4. In general, yellow cabs company is the most popular in all cities except SAN DIEGO CA where pink cabs perform slightly better.\n",
+    "5. Each customer can have more than one transactions as there are only 46168 customers.\n",
+    "6. The maximum transactions have been by people who have travelled 33.60 Km and the least transactions have been for people who have travelled 21.84 km.\n",
+    "7. The price can be the target variable.\n",
+    "8. The number of males using the cab is much greater than females.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dbcedcad",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "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": "3.9.13"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Data_Glacier.pptx b/Data_Glacier.pptx
new file mode 100644
index 00000000..47cf163e
Binary files /dev/null and b/Data_Glacier.pptx differ