4.Analyzing Age and Marital Status.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "98babb1b-989c-4dda-9707-f13ac0688ab4",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "de5217d9-4cc3-432a-b2dc-9bb317191154",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"BlackFriday.csv\")\n",
    "del df['Product_Category_2']\n",
    "del df['Product_Category_3']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "70ac84ae-3d8f-4773-ad24-c97cd7aeaa78",
   "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>User_ID</th>\n",
       "      <th>Product_ID</th>\n",
       "      <th>Gender</th>\n",
       "      <th>Age</th>\n",
       "      <th>Occupation</th>\n",
       "      <th>City_Category</th>\n",
       "      <th>Stay_In_Current_City_Years</th>\n",
       "      <th>Marital_Status</th>\n",
       "      <th>Product_Category_1</th>\n",
       "      <th>Purchase</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1000001</td>\n",
       "      <td>P00069042</td>\n",
       "      <td>F</td>\n",
       "      <td>0-17</td>\n",
       "      <td>10</td>\n",
       "      <td>A</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>8370</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1000001</td>\n",
       "      <td>P00248942</td>\n",
       "      <td>F</td>\n",
       "      <td>0-17</td>\n",
       "      <td>10</td>\n",
       "      <td>A</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>15200</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1000001</td>\n",
       "      <td>P00087842</td>\n",
       "      <td>F</td>\n",
       "      <td>0-17</td>\n",
       "      <td>10</td>\n",
       "      <td>A</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>1422</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1000001</td>\n",
       "      <td>P00085442</td>\n",
       "      <td>F</td>\n",
       "      <td>0-17</td>\n",
       "      <td>10</td>\n",
       "      <td>A</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>12</td>\n",
       "      <td>1057</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1000002</td>\n",
       "      <td>P00285442</td>\n",
       "      <td>M</td>\n",
       "      <td>55+</td>\n",
       "      <td>16</td>\n",
       "      <td>C</td>\n",
       "      <td>4+</td>\n",
       "      <td>0</td>\n",
       "      <td>8</td>\n",
       "      <td>7969</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   User_ID Product_ID Gender   Age  Occupation City_Category  \\\n",
       "0  1000001  P00069042      F  0-17          10             A   \n",
       "1  1000001  P00248942      F  0-17          10             A   \n",
       "2  1000001  P00087842      F  0-17          10             A   \n",
       "3  1000001  P00085442      F  0-17          10             A   \n",
       "4  1000002  P00285442      M   55+          16             C   \n",
       "\n",
       "  Stay_In_Current_City_Years  Marital_Status  Product_Category_1  Purchase  \n",
       "0                          2               0                   3      8370  \n",
       "1                          2               0                   1     15200  \n",
       "2                          2               0                  12      1422  \n",
       "3                          2               0                  12      1057  \n",
       "4                         4+               0                   8      7969  "
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "8907b3d3-36b5-4794-b359-00e48615970c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'PURCAHSE DISTRIBUTION BY AGE'}, xlabel='Age'>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "## Purchase Distibution On Age of Customers\n",
    "df.groupby('Age').size().plot(kind = 'bar', figsize = (12,6), title = 'PURCAHSE DISTRIBUTION BY AGE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "a9eadb60-30f7-474e-a2e0-e5f0200b6124",
   "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>Age</th>\n",
       "      <th>Products</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0-17</td>\n",
       "      <td>2300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>55+</td>\n",
       "      <td>2573</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>26-35</td>\n",
       "      <td>3419</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>46-50</td>\n",
       "      <td>3099</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51-55</td>\n",
       "      <td>2877</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>36-45</td>\n",
       "      <td>3318</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>18-25</td>\n",
       "      <td>3213</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Age  Products\n",
       "0   0-17      2300\n",
       "1    55+      2573\n",
       "2  26-35      3419\n",
       "3  46-50      3099\n",
       "4  51-55      2877\n",
       "5  36-45      3318\n",
       "6  18-25      3213"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "lst = []\n",
    "for i in df['Age'].unique():\n",
    "    lst.append([i, df[df['Age'] == i]['Product_ID'].nunique()])\n",
    "data = pd.DataFrame(lst, columns = ['Age', 'Products'])\n",
    "data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "144b4968-01b0-4042-8897-64e485c13a1d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'UNIQUE PRODUCTS ACCORDING TO AGE OF CUSTOMERS'}, xlabel='Age'>"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "data.plot.bar(x = 'Age', figsize = (8,6), title = \"UNIQUE PRODUCTS ACCORDING TO AGE OF CUSTOMERS\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "484ac3b1-eeb3-44b7-b10a-3456ad8e67b4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'AMOUNT SPEND BY AGE'}, xlabel='Age'>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df.groupby('Age').sum()['Purchase'].plot(kind = 'bar', figsize = (12,6), title = 'AMOUNT SPEND BY AGE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "13791078-b18f-4934-8ef9-13668cda3453",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'AVERAGE AMOUNT SPEND BY AGE'}, ylabel='Purchase'>"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df['Purchase'] = pd.to_numeric(df['Purchase'], errors='coerce')\n",
    "\n",
    "# Group by 'Age', calculate mean 'Purchase', and plot\n",
    "# Filter out non-numeric values before calculating the mean\n",
    "df.groupby('Age')['Purchase'].apply(lambda x: pd.to_numeric(x, errors='coerce').mean()).plot(kind='pie', autopct = '%0.1f' , figsize=(12, 6), title='AVERAGE AMOUNT SPEND BY AGE')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "5f2b9b70-4062-48eb-8409-75fc59fa6ad4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'MARITAL STATUS OF MALE AND FEMALE CUSTOMERS'}>"
      ]
     },
     "execution_count": 51,
     "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": [
    "df.groupby('Marital_Status').size().plot(kind = 'pie', autopct = '%0.1f', title = 'MARITAL STATUS OF MALE AND FEMALE CUSTOMERS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "d0e05dfa-a1d5-4fbf-a1ef-46fcc1bf8a90",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: title={'center': 'GENDER STATUS OF CUSTOMERS'}>"
      ]
     },
     "execution_count": 52,
     "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": [
    "df.groupby('Gender').size().plot(kind = 'pie', autopct = '%0.1f', title = 'GENDER STATUS OF CUSTOMERS')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "5f9d3332-c78a-4c8f-9e88-329528872e1b",
   "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": "3.10.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}