bigbasket.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 27555 entries, 0 to 27554\n",
      "Data columns (total 10 columns):\n",
      " #   Column        Non-Null Count  Dtype  \n",
      "---  ------        --------------  -----  \n",
      " 0   index         27555 non-null  int64  \n",
      " 1   product       27554 non-null  object \n",
      " 2   category      27555 non-null  object \n",
      " 3   sub_category  27555 non-null  object \n",
      " 4   brand         27554 non-null  object \n",
      " 5   sale_price    27555 non-null  float64\n",
      " 6   market_price  27555 non-null  float64\n",
      " 7   type          27555 non-null  object \n",
      " 8   rating        18929 non-null  float64\n",
      " 9   description   27440 non-null  object \n",
      "dtypes: float64(3), int64(1), object(6)\n",
      "memory usage: 2.1+ MB\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.ensemble import RandomForestRegressor\n",
    "from sklearn.metrics import mean_absolute_error\n",
    "from sklearn.impute import SimpleImputer  # Import imputer from sklearn\n",
    "\n",
    "# Step 1: Load the dataset\n",
    "data = pd.read_csv(r'E:\\bigbasket\\BigBasket Products.csv')\n",
    "data.info()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0            Hair Oil & Serum\n",
      "1      Water & Fridge Bottles\n",
      "2             Lamp & Lamp Oil\n",
      "3    Laundry, Storage Baskets\n",
      "4        Bathing Bars & Soaps\n",
      "Name: type, dtype: object\n"
     ]
    }
   ],
   "source": [
    "print(data['type'].head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Step 2: Data Preprocessing (if needed)\n",
    "encoder = OneHotEncoder(sparse=False, handle_unknown='ignore')\n",
    "cat_features = ['category', 'sub_category', 'brand', 'type']\n",
    "encoded_data = pd.get_dummies(data, columns=cat_features)\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Original Data:\n",
      "   index                                            product  \\\n",
      "0      1             Garlic Oil - Vegetarian Capsule 500 mg   \n",
      "1      2                              Water Bottle - Orange   \n",
      "2      3                     Brass Angle Deep - Plain, No.2   \n",
      "3      4  Cereal Flip Lid Container/Storage Jar - Assort...   \n",
      "4      5                 Creme Soft Soap - For Hands & Body   \n",
      "\n",
      "                 category           sub_category              brand  \\\n",
      "0        Beauty & Hygiene              Hair Care  Sri Sri Ayurveda    \n",
      "1  Kitchen, Garden & Pets  Storage & Accessories         Mastercook   \n",
      "2    Cleaning & Household            Pooja Needs                Trm   \n",
      "3    Cleaning & Household   Bins & Bathroom Ware             Nakoda   \n",
      "4        Beauty & Hygiene       Bath & Hand Wash              Nivea   \n",
      "\n",
      "   sale_price  market_price                      type  rating  \\\n",
      "0       220.0         220.0          Hair Oil & Serum     4.1   \n",
      "1       180.0         180.0    Water & Fridge Bottles     2.3   \n",
      "2       119.0         250.0           Lamp & Lamp Oil     3.4   \n",
      "3       149.0         176.0  Laundry, Storage Baskets     3.7   \n",
      "4       162.0         162.0      Bathing Bars & Soaps     4.4   \n",
      "\n",
      "                                         description  \n",
      "0  This Product contains Garlic Oil that is known...  \n",
      "1  Each product is microwave safe (without lid), ...  \n",
      "2  A perfect gift for all occasions, be it your m...  \n",
      "3  Multipurpose container with an attractive desi...  \n",
      "4  Nivea Creme Soft Soap gives your skin the best...  \n",
      "\n",
      "Encoded Data:\n",
      "   index                                            product  sale_price  \\\n",
      "0      1             Garlic Oil - Vegetarian Capsule 500 mg       220.0   \n",
      "1      2                              Water Bottle - Orange       180.0   \n",
      "2      3                     Brass Angle Deep - Plain, No.2       119.0   \n",
      "3      4  Cereal Flip Lid Container/Storage Jar - Assort...       149.0   \n",
      "4      5                 Creme Soft Soap - For Hands & Body       162.0   \n",
      "\n",
      "   market_price  rating                                        description  \\\n",
      "0         220.0     4.1  This Product contains Garlic Oil that is known...   \n",
      "1         180.0     2.3  Each product is microwave safe (without lid), ...   \n",
      "2         250.0     3.4  A perfect gift for all occasions, be it your m...   \n",
      "3         176.0     3.7  Multipurpose container with an attractive desi...   \n",
      "4         162.0     4.4  Nivea Creme Soft Soap gives your skin the best...   \n",
      "\n",
      "   category_Baby Care  category_Bakery, Cakes & Dairy  \\\n",
      "0                   0                               0   \n",
      "1                   0                               0   \n",
      "2                   0                               0   \n",
      "3                   0                               0   \n",
      "4                   0                               0   \n",
      "\n",
      "   category_Beauty & Hygiene  category_Beverages  ...  type_Vacuum Flask  \\\n",
      "0                          1                   0  ...                  0   \n",
      "1                          0                   0  ...                  0   \n",
      "2                          0                   0  ...                  0   \n",
      "3                          0                   0  ...                  0   \n",
      "4                          1                   0  ...                  0   \n",
      "\n",
      "   type_Vermicelli  type_Vinegar  type_Wall Hooks & Hangers  \\\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",
      "\n",
      "   type_Water & Fridge Bottles  type_Wet Wipe, Pocket Tissues  \\\n",
      "0                            0                              0   \n",
      "1                            1                              0   \n",
      "2                            0                              0   \n",
      "3                            0                              0   \n",
      "4                            0                              0   \n",
      "\n",
      "   type_Whole Spices  type_Wine & Rice Vinegar  type_Women's Deodorants  \\\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",
      "\n",
      "   type_Yogurt & Shrikhand  \n",
      "0                        0  \n",
      "1                        0  \n",
      "2                        0  \n",
      "3                        0  \n",
      "4                        0  \n",
      "\n",
      "[5 rows x 2846 columns]\n"
     ]
    }
   ],
   "source": [
    "print(\"Original Data:\")\n",
    "print(data.head())\n",
    "\n",
    "print(\"\\nEncoded Data:\")\n",
    "print(encoded_data.head())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "   index                                            product  \\\n",
      "0      1             Garlic Oil - Vegetarian Capsule 500 mg   \n",
      "1      2                              Water Bottle - Orange   \n",
      "2      3                     Brass Angle Deep - Plain, No.2   \n",
      "3      4  Cereal Flip Lid Container/Storage Jar - Assort...   \n",
      "4      5                 Creme Soft Soap - For Hands & Body   \n",
      "\n",
      "                 category           sub_category              brand  \\\n",
      "0        Beauty & Hygiene              Hair Care  Sri Sri Ayurveda    \n",
      "1  Kitchen, Garden & Pets  Storage & Accessories         Mastercook   \n",
      "2    Cleaning & Household            Pooja Needs                Trm   \n",
      "3    Cleaning & Household   Bins & Bathroom Ware             Nakoda   \n",
      "4        Beauty & Hygiene       Bath & Hand Wash              Nivea   \n",
      "\n",
      "   sale_price  market_price                      type  rating  \n",
      "0       220.0         220.0          Hair Oil & Serum     4.1  \n",
      "1       180.0         180.0    Water & Fridge Bottles     2.3  \n",
      "2       119.0         250.0           Lamp & Lamp Oil     3.4  \n",
      "3       149.0         176.0  Laundry, Storage Baskets     3.7  \n",
      "4       162.0         162.0      Bathing Bars & Soaps     4.4  \n"
     ]
    }
   ],
   "source": [
    "# Drop the 'description' column from the DataFrame\n",
    "data.drop(columns=['description'], inplace=True)\n",
    "\n",
    "# Print the DataFrame to verify the changes\n",
    "print(data.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Mean sale price: 322.5148078388677\n",
      "Mean market price: 382.05666448920346\n",
      "Market price is higher on average.\n"
     ]
    }
   ],
   "source": [
    "sale_price_mean = data['sale_price'].mean()\n",
    "market_price_mean = data['market_price'].mean()\n",
    "\n",
    "print(\"Mean sale price:\", sale_price_mean)\n",
    "print(\"Mean market price:\", market_price_mean)\n",
    "\n",
    "if sale_price_mean > market_price_mean:\n",
    "    print(\"Sale price is higher on average.\")\n",
    "elif sale_price_mean < market_price_mean:\n",
    "    print(\"Market price is higher on average.\")\n",
    "else:\n",
    "    print(\"Sale price and market price are equal on average.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.hist(data['sale_price'], alpha=0.5, label='Sale Price')\n",
    "plt.hist(data['market_price'], alpha=0.5, label='Market Price')\n",
    "plt.xlabel('Price')\n",
    "plt.ylabel('Frequency')\n",
    "plt.title('Comparison of Sale Price and Market Price')\n",
    "plt.legend()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Maximum sale price: 12500.0\n",
      "Maximum market price: 12500.0\n",
      "The highest sale price and market price are equal.\n"
     ]
    }
   ],
   "source": [
    "max_sale_price = data['sale_price'].max()\n",
    "max_market_price = data['market_price'].max()\n",
    "\n",
    "print(\"Maximum sale price:\", max_sale_price)\n",
    "print(\"Maximum market price:\", max_market_price)\n",
    "\n",
    "if max_sale_price > max_market_price:\n",
    "    print(\"The highest sale price is higher.\")\n",
    "elif max_sale_price < max_market_price:\n",
    "    print(\"The highest market price is higher.\")\n",
    "else:\n",
    "    print(\"The highest sale price and market price are equal.\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Calculate the sum of sale prices and market prices\n",
    "total_sale_price = data['sale_price'].sum()\n",
    "total_market_price = data['market_price'].sum()\n",
    "\n",
    "# Create a pie chart\n",
    "labels = ['Sale Price', 'Market Price']\n",
    "sizes = [total_sale_price, total_market_price]\n",
    "colors = ['lightblue', 'lightgreen']\n",
    "explode = (0.1, 0)  # explode the first slice (i.e., 'Sale Price')\n",
    "\n",
    "plt.figure(figsize=(8, 6))\n",
    "plt.pie(sizes, explode=explode, labels=labels, colors=colors, autopct='%1.1f%%', shadow=True, startangle=140)\n",
    "plt.axis('equal')  # Equal aspect ratio ensures that pie is drawn as a circle.\n",
    "plt.title('Distribution of Sale Price and Market Price')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Calculate the loss percentage\n",
    "data['loss_percentage'] = ((data['market_price'] - data['sale_price']) / data['market_price']) * 100\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Handle missing values in description column\n",
    "data['description'].fillna('Unknown', inplace=True)\n",
    "\n",
    "# Step 3: Feature Engineering (if needed)\n",
    "# For example, you can create new features or transform existing ones here.\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Item with Maximum Profit:\n",
      "index                                                          21931\n",
      "product            Premium Cloth Dryer/Drying Stand - Foldable, S...\n",
      "category                                      Kitchen, Garden & Pets\n",
      "sub_category                                   Storage & Accessories\n",
      "brand                                                             DP\n",
      "sale_price                                                    4649.0\n",
      "market_price                                                  8969.0\n",
      "type                                        Cloth Dryer & Iron Table\n",
      "rating                                                           NaN\n",
      "loss_percentage                                            48.165905\n",
      "profit                                                        4320.0\n",
      "Name: 21930, dtype: object\n",
      "\n",
      "Item with Minimum Profit:\n",
      "index                                                   1\n",
      "product            Garlic Oil - Vegetarian Capsule 500 mg\n",
      "category                                 Beauty & Hygiene\n",
      "sub_category                                    Hair Care\n",
      "brand                                   Sri Sri Ayurveda \n",
      "sale_price                                          220.0\n",
      "market_price                                        220.0\n",
      "type                                     Hair Oil & Serum\n",
      "rating                                                4.1\n",
      "loss_percentage                                       0.0\n",
      "profit                                                0.0\n",
      "Name: 0, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# Calculate profit for each item\n",
    "data['profit'] = data['market_price'] - data['sale_price']\n",
    "\n",
    "# Find the item with the maximum profit\n",
    "max_profit_item = data.loc[data['profit'].idxmax()]\n",
    "min_profit_item = data.loc[data['profit'].idxmin()]\n",
    "\n",
    "print(\"Item with Maximum Profit:\")\n",
    "print(max_profit_item)\n",
    "print(\"\\nItem with Minimum Profit:\")\n",
    "print(min_profit_item)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Scatter plot of profit vs. rating\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(data['rating'], data['profit'], alpha=0.5)\n",
    "plt.title('Profit vs. Rating')\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Profit')\n",
    "plt.grid(True)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1200x600 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create a figure with two subplots\n",
    "fig, axs = plt.subplots(1, 2, figsize=(12, 6))\n",
    "\n",
    "# Histogram of ratings\n",
    "axs[0].hist(data['rating'], bins=20, color='skyblue', edgecolor='black')\n",
    "axs[0].set_title('Distribution of Ratings')\n",
    "axs[0].set_xlabel('Rating')\n",
    "axs[0].set_ylabel('Frequency')\n",
    "\n",
    "# Histogram of profits\n",
    "axs[1].hist(data['profit'], bins=20, color='salmon', edgecolor='black')\n",
    "axs[1].set_title('Distribution of Profits')\n",
    "axs[1].set_xlabel('Profit')\n",
    "axs[1].set_ylabel('Frequency')\n",
    "\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "\n",
    "# Group data by rating and calculate average profit\n",
    "avg_profit_by_rating = data.groupby('rating')['profit'].mean()\n",
    "\n",
    "# Plot the bar graph\n",
    "plt.figure(figsize=(10, 6))\n",
    "avg_profit_by_rating.plot(kind='bar', color='skyblue')\n",
    "plt.title('Average Profit by Rating')\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Average Profit')\n",
    "plt.xticks(rotation=45)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot scatter plot\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.scatter(data['rating'], data['sale_price'], color='skyblue', alpha=0.5)\n",
    "plt.title('Comparison of Ratings and Sale Prices')\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Sale Price')\n",
    "plt.grid(True, linestyle='--', alpha=0.7)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Group data by rating and calculate average sale price\n",
    "avg_sale_price_by_rating = data.groupby('rating')['sale_price'].mean()\n",
    "\n",
    "# Plot the bar graph\n",
    "plt.figure(figsize=(10, 6))\n",
    "avg_sale_price_by_rating.plot(kind='bar', color='lightgreen')\n",
    "plt.title('Average Sale Price by Rating')\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Average Sale Price')\n",
    "plt.xticks(rotation=45)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Item with Maximum Sale Price:\n",
      "index                                25302\n",
      "product                    Bravura Clipper\n",
      "category            Kitchen, Garden & Pets\n",
      "sub_category        Pet Food & Accessories\n",
      "brand                                 Wahl\n",
      "sale_price                         12500.0\n",
      "market_price                       12500.0\n",
      "type               Pet Cleaning & Grooming\n",
      "rating                                 NaN\n",
      "loss_percentage                        0.0\n",
      "profit                                 0.0\n",
      "Name: 25301, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# Find the index of the row with the maximum sale price\n",
    "max_sale_price_index = data['sale_price'].idxmax()\n",
    "\n",
    "# Get the row with the maximum sale price\n",
    "item_with_max_sale_price = data.loc[max_sale_price_index]\n",
    "\n",
    "print(\"Item with Maximum Sale Price:\")\n",
    "print(item_with_max_sale_price)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Null Ratings: 8626\n"
     ]
    }
   ],
   "source": [
    "# Check number of null values in the 'rating' column\n",
    "null_ratings_count = data['rating'].isnull().sum()\n",
    "\n",
    "print(\"Number of Null Ratings:\", null_ratings_count)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Filter rows with null ratings\n",
    "null_ratings_data = data[data['rating'].isnull()]\n",
    "\n",
    "# Save the filtered DataFrame to a new file\n",
    "null_ratings_data.to_csv('null_ratings_data.csv', index=False)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "index                 0\n",
      "product               1\n",
      "category              0\n",
      "sub_category          0\n",
      "brand                 1\n",
      "sale_price            0\n",
      "market_price          0\n",
      "type                  0\n",
      "rating             8626\n",
      "loss_percentage       0\n",
      "profit                0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Check for null entries in each column\n",
    "null_entries = data.isnull().sum()\n",
    "\n",
    "# Print the number of null entries in each column\n",
    "print(null_entries)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 18928 entries, 0 to 27554\n",
      "Data columns (total 11 columns):\n",
      " #   Column           Non-Null Count  Dtype  \n",
      "---  ------           --------------  -----  \n",
      " 0   index            18928 non-null  int64  \n",
      " 1   product          18928 non-null  object \n",
      " 2   category         18928 non-null  object \n",
      " 3   sub_category     18928 non-null  object \n",
      " 4   brand            18928 non-null  object \n",
      " 5   sale_price       18928 non-null  float64\n",
      " 6   market_price     18928 non-null  float64\n",
      " 7   type             18928 non-null  object \n",
      " 8   rating           18928 non-null  float64\n",
      " 9   loss_percentage  18928 non-null  float64\n",
      " 10  profit           18928 non-null  float64\n",
      "dtypes: float64(5), int64(1), object(5)\n",
      "memory usage: 1.7+ MB\n"
     ]
    }
   ],
   "source": [
    "# Remove rows with null values\n",
    "cleaned_data = data.dropna()\n",
    "\n",
    "# Save the cleaned data to a new CSV file\n",
    "cleaned_data.to_csv('cleaned_data.csv', index=False)\n",
    "cleaned_data.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "index              0\n",
      "product            0\n",
      "category           0\n",
      "sub_category       0\n",
      "brand              0\n",
      "sale_price         0\n",
      "market_price       0\n",
      "type               0\n",
      "rating             0\n",
      "loss_percentage    0\n",
      "profit             0\n",
      "dtype: int64\n"
     ]
    }
   ],
   "source": [
    "# Check for null entries in each column\n",
    "null_entries = cleaned_data.isnull().sum()\n",
    "\n",
    "# Print the number of null entries in each column\n",
    "print(null_entries)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows: 18928\n",
      "Number of columns: 11\n"
     ]
    }
   ],
   "source": [
    "# Check the number of rows and columns\n",
    "num_rows, num_columns = cleaned_data.shape\n",
    "\n",
    "print(\"Number of rows:\", num_rows)\n",
    "print(\"Number of columns:\", num_columns)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "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>index</th>\n",
       "      <th>product</th>\n",
       "      <th>category</th>\n",
       "      <th>sub_category</th>\n",
       "      <th>brand</th>\n",
       "      <th>sale_price</th>\n",
       "      <th>market_price</th>\n",
       "      <th>type</th>\n",
       "      <th>rating</th>\n",
       "      <th>loss_percentage</th>\n",
       "      <th>profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Garlic Oil - Vegetarian Capsule 500 mg</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Hair Care</td>\n",
       "      <td>Sri Sri Ayurveda</td>\n",
       "      <td>220.00</td>\n",
       "      <td>220.0</td>\n",
       "      <td>Hair Oil &amp; Serum</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Water Bottle - Orange</td>\n",
       "      <td>Kitchen, Garden &amp; Pets</td>\n",
       "      <td>Storage &amp; Accessories</td>\n",
       "      <td>Mastercook</td>\n",
       "      <td>180.00</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Water &amp; Fridge Bottles</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Brass Angle Deep - Plain, No.2</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>Pooja Needs</td>\n",
       "      <td>Trm</td>\n",
       "      <td>119.00</td>\n",
       "      <td>250.0</td>\n",
       "      <td>Lamp &amp; Lamp Oil</td>\n",
       "      <td>3.4</td>\n",
       "      <td>52.400000</td>\n",
       "      <td>131.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Cereal Flip Lid Container/Storage Jar - Assort...</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>Bins &amp; Bathroom Ware</td>\n",
       "      <td>Nakoda</td>\n",
       "      <td>149.00</td>\n",
       "      <td>176.0</td>\n",
       "      <td>Laundry, Storage Baskets</td>\n",
       "      <td>3.7</td>\n",
       "      <td>15.340909</td>\n",
       "      <td>27.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Creme Soft Soap - For Hands &amp; Body</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Bath &amp; Hand Wash</td>\n",
       "      <td>Nivea</td>\n",
       "      <td>162.00</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Bathing Bars &amp; Soaps</td>\n",
       "      <td>4.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Germ - Removal Multipurpose Wipes</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>All Purpose Cleaners</td>\n",
       "      <td>Nature Protect</td>\n",
       "      <td>169.00</td>\n",
       "      <td>199.0</td>\n",
       "      <td>Disinfectant Spray &amp; Cleaners</td>\n",
       "      <td>3.3</td>\n",
       "      <td>15.075377</td>\n",
       "      <td>30.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Multani Mati</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Skin Care</td>\n",
       "      <td>Satinance</td>\n",
       "      <td>58.00</td>\n",
       "      <td>58.0</td>\n",
       "      <td>Face Care</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Hand Sanitizer - 70% Alcohol Base</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Bath &amp; Hand Wash</td>\n",
       "      <td>Bionova</td>\n",
       "      <td>250.00</td>\n",
       "      <td>250.0</td>\n",
       "      <td>Hand Wash &amp; Sanitizers</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Biotin &amp; Collagen Volumizing Hair Shampoo + Bi...</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Hair Care</td>\n",
       "      <td>StBotanica</td>\n",
       "      <td>1098.00</td>\n",
       "      <td>1098.0</td>\n",
       "      <td>Shampoo &amp; Conditioner</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Scrub Pad - Anti- Bacterial, Regular</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>Mops, Brushes &amp; Scrubs</td>\n",
       "      <td>Scotch brite</td>\n",
       "      <td>20.00</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Utensil Scrub-Pad, Glove</td>\n",
       "      <td>4.3</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>Wheat Grass Powder - Raw</td>\n",
       "      <td>Gourmet &amp; World Food</td>\n",
       "      <td>Cooking &amp; Baking Needs</td>\n",
       "      <td>NUTRASHIL</td>\n",
       "      <td>261.00</td>\n",
       "      <td>290.0</td>\n",
       "      <td>Flours &amp; Pre-Mixes</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>29.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>Butter Cookies Gold Collection</td>\n",
       "      <td>Gourmet &amp; World Food</td>\n",
       "      <td>Chocolates &amp; Biscuits</td>\n",
       "      <td>Sapphire</td>\n",
       "      <td>600.00</td>\n",
       "      <td>600.0</td>\n",
       "      <td>Luxury Chocolates, Gifts</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>13</td>\n",
       "      <td>Face Wash - Oil Control, Active</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Skin Care</td>\n",
       "      <td>Oxy</td>\n",
       "      <td>110.00</td>\n",
       "      <td>110.0</td>\n",
       "      <td>Face Care</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>14</td>\n",
       "      <td>Mold &amp; Mildew Remover with Bleach</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>All Purpose Cleaners</td>\n",
       "      <td>Clorox</td>\n",
       "      <td>350.00</td>\n",
       "      <td>350.0</td>\n",
       "      <td>Floor &amp; Other Cleaners</td>\n",
       "      <td>3.8</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>15</td>\n",
       "      <td>Just Spray - Mosquito Repellent Room Spray</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>Fresheners &amp; Repellents</td>\n",
       "      <td>Herbal Strategi</td>\n",
       "      <td>200.00</td>\n",
       "      <td>200.0</td>\n",
       "      <td>Mosquito Repellent</td>\n",
       "      <td>4.2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>16</td>\n",
       "      <td>Dove Plastic Soap Case - Assorted Colour</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>Bins &amp; Bathroom Ware</td>\n",
       "      <td>Nakoda</td>\n",
       "      <td>49.00</td>\n",
       "      <td>59.0</td>\n",
       "      <td>Soap Cases &amp; Dispensers</td>\n",
       "      <td>4.0</td>\n",
       "      <td>16.949153</td>\n",
       "      <td>10.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>17</td>\n",
       "      <td>Smooth Skin Oil - For Dry Skin</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Skin Care</td>\n",
       "      <td>Aroma Treasures</td>\n",
       "      <td>324.00</td>\n",
       "      <td>360.0</td>\n",
       "      <td>Aromatherapy</td>\n",
       "      <td>5.0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>36.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>18</td>\n",
       "      <td>Salted Pumpkin</td>\n",
       "      <td>Gourmet &amp; World Food</td>\n",
       "      <td>Snacks, Dry Fruits, Nuts</td>\n",
       "      <td>Graminway</td>\n",
       "      <td>180.00</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Roasted Seeds &amp; Nuts</td>\n",
       "      <td>4.9</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>19</td>\n",
       "      <td>Flax Seeds - Roasted</td>\n",
       "      <td>Gourmet &amp; World Food</td>\n",
       "      <td>Snacks, Dry Fruits, Nuts</td>\n",
       "      <td>True Elements</td>\n",
       "      <td>120.00</td>\n",
       "      <td>120.0</td>\n",
       "      <td>Roasted Seeds &amp; Nuts</td>\n",
       "      <td>4.3</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>20</td>\n",
       "      <td>Organic Tofu - Soy Paneer</td>\n",
       "      <td>Gourmet &amp; World Food</td>\n",
       "      <td>Dairy &amp; Cheese</td>\n",
       "      <td>Murginns</td>\n",
       "      <td>85.14</td>\n",
       "      <td>90.0</td>\n",
       "      <td>Tofu</td>\n",
       "      <td>3.9</td>\n",
       "      <td>5.400000</td>\n",
       "      <td>4.86</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index                                            product  \\\n",
       "0       1             Garlic Oil - Vegetarian Capsule 500 mg   \n",
       "1       2                              Water Bottle - Orange   \n",
       "2       3                     Brass Angle Deep - Plain, No.2   \n",
       "3       4  Cereal Flip Lid Container/Storage Jar - Assort...   \n",
       "4       5                 Creme Soft Soap - For Hands & Body   \n",
       "5       6                  Germ - Removal Multipurpose Wipes   \n",
       "6       7                                       Multani Mati   \n",
       "7       8                  Hand Sanitizer - 70% Alcohol Base   \n",
       "8       9  Biotin & Collagen Volumizing Hair Shampoo + Bi...   \n",
       "9      10               Scrub Pad - Anti- Bacterial, Regular   \n",
       "10     11                           Wheat Grass Powder - Raw   \n",
       "11     12                     Butter Cookies Gold Collection   \n",
       "12     13                    Face Wash - Oil Control, Active   \n",
       "13     14                  Mold & Mildew Remover with Bleach   \n",
       "14     15         Just Spray - Mosquito Repellent Room Spray   \n",
       "15     16           Dove Plastic Soap Case - Assorted Colour   \n",
       "16     17                     Smooth Skin Oil - For Dry Skin   \n",
       "17     18                                     Salted Pumpkin   \n",
       "18     19                               Flax Seeds - Roasted   \n",
       "19     20                          Organic Tofu - Soy Paneer   \n",
       "\n",
       "                  category              sub_category              brand  \\\n",
       "0         Beauty & Hygiene                 Hair Care  Sri Sri Ayurveda    \n",
       "1   Kitchen, Garden & Pets     Storage & Accessories         Mastercook   \n",
       "2     Cleaning & Household               Pooja Needs                Trm   \n",
       "3     Cleaning & Household      Bins & Bathroom Ware             Nakoda   \n",
       "4         Beauty & Hygiene          Bath & Hand Wash              Nivea   \n",
       "5     Cleaning & Household      All Purpose Cleaners     Nature Protect   \n",
       "6         Beauty & Hygiene                 Skin Care          Satinance   \n",
       "7         Beauty & Hygiene          Bath & Hand Wash            Bionova   \n",
       "8         Beauty & Hygiene                 Hair Care         StBotanica   \n",
       "9     Cleaning & Household    Mops, Brushes & Scrubs       Scotch brite   \n",
       "10    Gourmet & World Food    Cooking & Baking Needs          NUTRASHIL   \n",
       "11    Gourmet & World Food     Chocolates & Biscuits           Sapphire   \n",
       "12        Beauty & Hygiene                 Skin Care                Oxy   \n",
       "13    Cleaning & Household      All Purpose Cleaners             Clorox   \n",
       "14    Cleaning & Household   Fresheners & Repellents    Herbal Strategi   \n",
       "15    Cleaning & Household      Bins & Bathroom Ware             Nakoda   \n",
       "16        Beauty & Hygiene                 Skin Care    Aroma Treasures   \n",
       "17    Gourmet & World Food  Snacks, Dry Fruits, Nuts          Graminway   \n",
       "18    Gourmet & World Food  Snacks, Dry Fruits, Nuts      True Elements   \n",
       "19    Gourmet & World Food            Dairy & Cheese           Murginns   \n",
       "\n",
       "    sale_price  market_price                           type  rating  \\\n",
       "0       220.00         220.0               Hair Oil & Serum     4.1   \n",
       "1       180.00         180.0         Water & Fridge Bottles     2.3   \n",
       "2       119.00         250.0                Lamp & Lamp Oil     3.4   \n",
       "3       149.00         176.0       Laundry, Storage Baskets     3.7   \n",
       "4       162.00         162.0           Bathing Bars & Soaps     4.4   \n",
       "5       169.00         199.0  Disinfectant Spray & Cleaners     3.3   \n",
       "6        58.00          58.0                      Face Care     3.6   \n",
       "7       250.00         250.0         Hand Wash & Sanitizers     4.0   \n",
       "8      1098.00        1098.0          Shampoo & Conditioner     3.5   \n",
       "9        20.00          20.0       Utensil Scrub-Pad, Glove     4.3   \n",
       "10      261.00         290.0             Flours & Pre-Mixes     4.0   \n",
       "11      600.00         600.0       Luxury Chocolates, Gifts     2.2   \n",
       "12      110.00         110.0                      Face Care     5.0   \n",
       "13      350.00         350.0         Floor & Other Cleaners     3.8   \n",
       "14      200.00         200.0             Mosquito Repellent     4.2   \n",
       "15       49.00          59.0        Soap Cases & Dispensers     4.0   \n",
       "16      324.00         360.0                   Aromatherapy     5.0   \n",
       "17      180.00         180.0           Roasted Seeds & Nuts     4.9   \n",
       "18      120.00         120.0           Roasted Seeds & Nuts     4.3   \n",
       "19       85.14          90.0                           Tofu     3.9   \n",
       "\n",
       "    loss_percentage  profit  \n",
       "0          0.000000    0.00  \n",
       "1          0.000000    0.00  \n",
       "2         52.400000  131.00  \n",
       "3         15.340909   27.00  \n",
       "4          0.000000    0.00  \n",
       "5         15.075377   30.00  \n",
       "6          0.000000    0.00  \n",
       "7          0.000000    0.00  \n",
       "8          0.000000    0.00  \n",
       "9          0.000000    0.00  \n",
       "10        10.000000   29.00  \n",
       "11         0.000000    0.00  \n",
       "12         0.000000    0.00  \n",
       "13         0.000000    0.00  \n",
       "14         0.000000    0.00  \n",
       "15        16.949153   10.00  \n",
       "16        10.000000   36.00  \n",
       "17         0.000000    0.00  \n",
       "18         0.000000    0.00  \n",
       "19         5.400000    4.86  "
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_data.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "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>index</th>\n",
       "      <th>product</th>\n",
       "      <th>category</th>\n",
       "      <th>sub_category</th>\n",
       "      <th>brand</th>\n",
       "      <th>sale_price</th>\n",
       "      <th>market_price</th>\n",
       "      <th>type</th>\n",
       "      <th>rating</th>\n",
       "      <th>loss_percentage</th>\n",
       "      <th>profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Water Bottle - Orange</td>\n",
       "      <td>Kitchen, Garden &amp; Pets</td>\n",
       "      <td>Storage &amp; Accessories</td>\n",
       "      <td>Mastercook</td>\n",
       "      <td>180.00</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Water &amp; Fridge Bottles</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>Butter Cookies Gold Collection</td>\n",
       "      <td>Gourmet &amp; World Food</td>\n",
       "      <td>Chocolates &amp; Biscuits</td>\n",
       "      <td>Sapphire</td>\n",
       "      <td>600.00</td>\n",
       "      <td>600.0</td>\n",
       "      <td>Luxury Chocolates, Gifts</td>\n",
       "      <td>2.2</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>30</td>\n",
       "      <td>Lip Butter - Rose</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Skin Care</td>\n",
       "      <td>Organic Harvest</td>\n",
       "      <td>169.15</td>\n",
       "      <td>199.0</td>\n",
       "      <td>Lip Care</td>\n",
       "      <td>1.5</td>\n",
       "      <td>15.000000</td>\n",
       "      <td>29.85</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>64</th>\n",
       "      <td>65</td>\n",
       "      <td>Aqua Halo Rejuvenating Conditioner</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Hair Care</td>\n",
       "      <td>Azafran</td>\n",
       "      <td>168.75</td>\n",
       "      <td>225.0</td>\n",
       "      <td>Shampoo &amp; Conditioner</td>\n",
       "      <td>1.0</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>56.25</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>94</th>\n",
       "      <td>95</td>\n",
       "      <td>Stainless Steel Storage Lunch Container - Flat...</td>\n",
       "      <td>Kitchen, Garden &amp; Pets</td>\n",
       "      <td>Steel Utensils</td>\n",
       "      <td>Ramson</td>\n",
       "      <td>129.00</td>\n",
       "      <td>249.0</td>\n",
       "      <td>Steel Storage Containers</td>\n",
       "      <td>1.5</td>\n",
       "      <td>48.192771</td>\n",
       "      <td>120.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>191</th>\n",
       "      <td>192</td>\n",
       "      <td>Bath &amp; Body Oil - Oriental Spicy Rose</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Skin Care</td>\n",
       "      <td>Oriental Botanics</td>\n",
       "      <td>699.00</td>\n",
       "      <td>699.0</td>\n",
       "      <td>Aromatherapy</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>209</th>\n",
       "      <td>210</td>\n",
       "      <td>OvenOrg Multi Millet Rusk</td>\n",
       "      <td>Bakery, Cakes &amp; Dairy</td>\n",
       "      <td>Cookies, Rusk &amp; Khari</td>\n",
       "      <td>PRISTINE</td>\n",
       "      <td>35.00</td>\n",
       "      <td>35.0</td>\n",
       "      <td>Rusks</td>\n",
       "      <td>1.8</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>263</th>\n",
       "      <td>264</td>\n",
       "      <td>Ashwagandha Powder</td>\n",
       "      <td>Gourmet &amp; World Food</td>\n",
       "      <td>Drinks &amp; Beverages</td>\n",
       "      <td>NUTRIWISH</td>\n",
       "      <td>400.00</td>\n",
       "      <td>400.0</td>\n",
       "      <td>Health Drinks</td>\n",
       "      <td>2.5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>298</th>\n",
       "      <td>299</td>\n",
       "      <td>Family Sunscreen Lotion SPF 25</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Skin Care</td>\n",
       "      <td>INATUR</td>\n",
       "      <td>273.00</td>\n",
       "      <td>420.0</td>\n",
       "      <td>Face Care</td>\n",
       "      <td>1.0</td>\n",
       "      <td>35.000000</td>\n",
       "      <td>147.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>299</th>\n",
       "      <td>300</td>\n",
       "      <td>Japanese Cooking Rice-Wine</td>\n",
       "      <td>Gourmet &amp; World Food</td>\n",
       "      <td>Oils &amp; Vinegar</td>\n",
       "      <td>Urban Platter</td>\n",
       "      <td>475.00</td>\n",
       "      <td>500.0</td>\n",
       "      <td>Flavoured &amp; Other Oils</td>\n",
       "      <td>1.0</td>\n",
       "      <td>5.000000</td>\n",
       "      <td>25.00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     index                                            product  \\\n",
       "1        2                              Water Bottle - Orange   \n",
       "11      12                     Butter Cookies Gold Collection   \n",
       "29      30                                  Lip Butter - Rose   \n",
       "64      65                 Aqua Halo Rejuvenating Conditioner   \n",
       "94      95  Stainless Steel Storage Lunch Container - Flat...   \n",
       "191    192              Bath & Body Oil - Oriental Spicy Rose   \n",
       "209    210                          OvenOrg Multi Millet Rusk   \n",
       "263    264                                 Ashwagandha Powder   \n",
       "298    299                     Family Sunscreen Lotion SPF 25   \n",
       "299    300                         Japanese Cooking Rice-Wine   \n",
       "\n",
       "                   category           sub_category              brand  \\\n",
       "1    Kitchen, Garden & Pets  Storage & Accessories         Mastercook   \n",
       "11     Gourmet & World Food  Chocolates & Biscuits           Sapphire   \n",
       "29         Beauty & Hygiene              Skin Care    Organic Harvest   \n",
       "64         Beauty & Hygiene              Hair Care            Azafran   \n",
       "94   Kitchen, Garden & Pets         Steel Utensils             Ramson   \n",
       "191        Beauty & Hygiene              Skin Care  Oriental Botanics   \n",
       "209   Bakery, Cakes & Dairy  Cookies, Rusk & Khari           PRISTINE   \n",
       "263    Gourmet & World Food     Drinks & Beverages          NUTRIWISH   \n",
       "298        Beauty & Hygiene              Skin Care            INATUR    \n",
       "299    Gourmet & World Food         Oils & Vinegar      Urban Platter   \n",
       "\n",
       "     sale_price  market_price                      type  rating  \\\n",
       "1        180.00         180.0    Water & Fridge Bottles     2.3   \n",
       "11       600.00         600.0  Luxury Chocolates, Gifts     2.2   \n",
       "29       169.15         199.0                  Lip Care     1.5   \n",
       "64       168.75         225.0     Shampoo & Conditioner     1.0   \n",
       "94       129.00         249.0  Steel Storage Containers     1.5   \n",
       "191      699.00         699.0              Aromatherapy     2.0   \n",
       "209       35.00          35.0                     Rusks     1.8   \n",
       "263      400.00         400.0             Health Drinks     2.5   \n",
       "298      273.00         420.0                 Face Care     1.0   \n",
       "299      475.00         500.0    Flavoured & Other Oils     1.0   \n",
       "\n",
       "     loss_percentage  profit  \n",
       "1           0.000000    0.00  \n",
       "11          0.000000    0.00  \n",
       "29         15.000000   29.85  \n",
       "64         25.000000   56.25  \n",
       "94         48.192771  120.00  \n",
       "191         0.000000    0.00  \n",
       "209         0.000000    0.00  \n",
       "263         0.000000    0.00  \n",
       "298        35.000000  147.00  \n",
       "299         5.000000   25.00  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter the DataFrame for entries with ratings between 1 and 2.5\n",
    "filtered_rating1_data = cleaned_data[(cleaned_data['rating'] >= 1) & (cleaned_data['rating'] <= 2.5)]\n",
    "\n",
    "# Save the filtered data to a new file\n",
    "filtered_rating1_data.to_csv('filtered_data.csv', index=False)\n",
    "filtered_rating1_data.head(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows: 1013\n",
      "Number of columns: 11\n"
     ]
    }
   ],
   "source": [
    "num_rows, num_columns = filtered_rating1_data.shape\n",
    "print(\"Number of rows:\", num_rows)\n",
    "print(\"Number of columns:\", num_columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "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>index</th>\n",
       "      <th>product</th>\n",
       "      <th>category</th>\n",
       "      <th>sub_category</th>\n",
       "      <th>brand</th>\n",
       "      <th>sale_price</th>\n",
       "      <th>market_price</th>\n",
       "      <th>type</th>\n",
       "      <th>rating</th>\n",
       "      <th>loss_percentage</th>\n",
       "      <th>profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Garlic Oil - Vegetarian Capsule 500 mg</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Hair Care</td>\n",
       "      <td>Sri Sri Ayurveda</td>\n",
       "      <td>220.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>Hair Oil &amp; Serum</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Brass Angle Deep - Plain, No.2</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>Pooja Needs</td>\n",
       "      <td>Trm</td>\n",
       "      <td>119.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>Lamp &amp; Lamp Oil</td>\n",
       "      <td>3.4</td>\n",
       "      <td>52.400000</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Cereal Flip Lid Container/Storage Jar - Assort...</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>Bins &amp; Bathroom Ware</td>\n",
       "      <td>Nakoda</td>\n",
       "      <td>149.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>Laundry, Storage Baskets</td>\n",
       "      <td>3.7</td>\n",
       "      <td>15.340909</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Creme Soft Soap - For Hands &amp; Body</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Bath &amp; Hand Wash</td>\n",
       "      <td>Nivea</td>\n",
       "      <td>162.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Bathing Bars &amp; Soaps</td>\n",
       "      <td>4.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>6</td>\n",
       "      <td>Germ - Removal Multipurpose Wipes</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>All Purpose Cleaners</td>\n",
       "      <td>Nature Protect</td>\n",
       "      <td>169.0</td>\n",
       "      <td>199.0</td>\n",
       "      <td>Disinfectant Spray &amp; Cleaners</td>\n",
       "      <td>3.3</td>\n",
       "      <td>15.075377</td>\n",
       "      <td>30.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>7</td>\n",
       "      <td>Multani Mati</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Skin Care</td>\n",
       "      <td>Satinance</td>\n",
       "      <td>58.0</td>\n",
       "      <td>58.0</td>\n",
       "      <td>Face Care</td>\n",
       "      <td>3.6</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>8</td>\n",
       "      <td>Hand Sanitizer - 70% Alcohol Base</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Bath &amp; Hand Wash</td>\n",
       "      <td>Bionova</td>\n",
       "      <td>250.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>Hand Wash &amp; Sanitizers</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>9</td>\n",
       "      <td>Biotin &amp; Collagen Volumizing Hair Shampoo + Bi...</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Hair Care</td>\n",
       "      <td>StBotanica</td>\n",
       "      <td>1098.0</td>\n",
       "      <td>1098.0</td>\n",
       "      <td>Shampoo &amp; Conditioner</td>\n",
       "      <td>3.5</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>Scrub Pad - Anti- Bacterial, Regular</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>Mops, Brushes &amp; Scrubs</td>\n",
       "      <td>Scotch brite</td>\n",
       "      <td>20.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>Utensil Scrub-Pad, Glove</td>\n",
       "      <td>4.3</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>Wheat Grass Powder - Raw</td>\n",
       "      <td>Gourmet &amp; World Food</td>\n",
       "      <td>Cooking &amp; Baking Needs</td>\n",
       "      <td>NUTRASHIL</td>\n",
       "      <td>261.0</td>\n",
       "      <td>290.0</td>\n",
       "      <td>Flours &amp; Pre-Mixes</td>\n",
       "      <td>4.0</td>\n",
       "      <td>10.000000</td>\n",
       "      <td>29.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    index                                            product  \\\n",
       "0       1             Garlic Oil - Vegetarian Capsule 500 mg   \n",
       "2       3                     Brass Angle Deep - Plain, No.2   \n",
       "3       4  Cereal Flip Lid Container/Storage Jar - Assort...   \n",
       "4       5                 Creme Soft Soap - For Hands & Body   \n",
       "5       6                  Germ - Removal Multipurpose Wipes   \n",
       "6       7                                       Multani Mati   \n",
       "7       8                  Hand Sanitizer - 70% Alcohol Base   \n",
       "8       9  Biotin & Collagen Volumizing Hair Shampoo + Bi...   \n",
       "9      10               Scrub Pad - Anti- Bacterial, Regular   \n",
       "10     11                           Wheat Grass Powder - Raw   \n",
       "\n",
       "                category            sub_category              brand  \\\n",
       "0       Beauty & Hygiene               Hair Care  Sri Sri Ayurveda    \n",
       "2   Cleaning & Household             Pooja Needs                Trm   \n",
       "3   Cleaning & Household    Bins & Bathroom Ware             Nakoda   \n",
       "4       Beauty & Hygiene        Bath & Hand Wash              Nivea   \n",
       "5   Cleaning & Household    All Purpose Cleaners     Nature Protect   \n",
       "6       Beauty & Hygiene               Skin Care          Satinance   \n",
       "7       Beauty & Hygiene        Bath & Hand Wash            Bionova   \n",
       "8       Beauty & Hygiene               Hair Care         StBotanica   \n",
       "9   Cleaning & Household  Mops, Brushes & Scrubs       Scotch brite   \n",
       "10  Gourmet & World Food  Cooking & Baking Needs          NUTRASHIL   \n",
       "\n",
       "    sale_price  market_price                           type  rating  \\\n",
       "0        220.0         220.0               Hair Oil & Serum     4.1   \n",
       "2        119.0         250.0                Lamp & Lamp Oil     3.4   \n",
       "3        149.0         176.0       Laundry, Storage Baskets     3.7   \n",
       "4        162.0         162.0           Bathing Bars & Soaps     4.4   \n",
       "5        169.0         199.0  Disinfectant Spray & Cleaners     3.3   \n",
       "6         58.0          58.0                      Face Care     3.6   \n",
       "7        250.0         250.0         Hand Wash & Sanitizers     4.0   \n",
       "8       1098.0        1098.0          Shampoo & Conditioner     3.5   \n",
       "9         20.0          20.0       Utensil Scrub-Pad, Glove     4.3   \n",
       "10       261.0         290.0             Flours & Pre-Mixes     4.0   \n",
       "\n",
       "    loss_percentage  profit  \n",
       "0          0.000000     0.0  \n",
       "2         52.400000   131.0  \n",
       "3         15.340909    27.0  \n",
       "4          0.000000     0.0  \n",
       "5         15.075377    30.0  \n",
       "6          0.000000     0.0  \n",
       "7          0.000000     0.0  \n",
       "8          0.000000     0.0  \n",
       "9          0.000000     0.0  \n",
       "10        10.000000    29.0  "
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Filter the DataFrame for entries with ratings between 2.5 and 5\n",
    "filtered_rating2_data = cleaned_data[(cleaned_data['rating'] >= 2.6) & (cleaned_data['rating'] <= 5)]\n",
    "\n",
    "# Save the filtered data to a new file\n",
    "filtered_rating2_data.to_csv('filtered_data.csv', index=False)\n",
    "filtered_rating2_data.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of rows: 17915\n",
      "Number of columns: 11\n"
     ]
    }
   ],
   "source": [
    "num_rows, num_columns = filtered_rating2_data.shape\n",
    "print(\"Number of rows:\", num_rows)\n",
    "print(\"Number of columns:\", num_columns)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Group data by rating and calculate average sale price\n",
    "avg_sale_price_by_rating = filtered_rating2_data.groupby('rating')['sale_price'].mean()\n",
    "\n",
    "# Plot the bar graph\n",
    "plt.figure(figsize=(10, 6))\n",
    "avg_sale_price_by_rating.plot(kind='bar', color='lightgreen')\n",
    "plt.title('Average Sale Price by Rating')\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Average Sale Price')\n",
    "plt.xticks(rotation=45)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\n",
    "# Group data by rating and calculate average sale price\n",
    "avg_sale_price_by_rating = filtered_rating1_data.groupby('rating')['sale_price'].mean()\n",
    "\n",
    "# Plot the bar graph\n",
    "plt.figure(figsize=(10, 6))\n",
    "avg_sale_price_by_rating.plot(kind='bar', color='lightgreen')\n",
    "plt.title('Average Sale Price by Rating')\n",
    "plt.xlabel('Rating')\n",
    "plt.ylabel('Average Sale Price')\n",
    "plt.xticks(rotation=45)\n",
    "plt.grid(axis='y', linestyle='--', alpha=0.7)\n",
    "plt.show()\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "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>index</th>\n",
       "      <th>product</th>\n",
       "      <th>category</th>\n",
       "      <th>sub_category</th>\n",
       "      <th>brand</th>\n",
       "      <th>sale_price</th>\n",
       "      <th>market_price</th>\n",
       "      <th>type</th>\n",
       "      <th>rating</th>\n",
       "      <th>loss_percentage</th>\n",
       "      <th>profit</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>Garlic Oil - Vegetarian Capsule 500 mg</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Hair Care</td>\n",
       "      <td>Sri Sri Ayurveda</td>\n",
       "      <td>220.0</td>\n",
       "      <td>220.0</td>\n",
       "      <td>Hair Oil &amp; Serum</td>\n",
       "      <td>4.1</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>Water Bottle - Orange</td>\n",
       "      <td>Kitchen, Garden &amp; Pets</td>\n",
       "      <td>Storage &amp; Accessories</td>\n",
       "      <td>Mastercook</td>\n",
       "      <td>180.0</td>\n",
       "      <td>180.0</td>\n",
       "      <td>Water &amp; Fridge Bottles</td>\n",
       "      <td>2.3</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>Brass Angle Deep - Plain, No.2</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>Pooja Needs</td>\n",
       "      <td>Trm</td>\n",
       "      <td>119.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>Lamp &amp; Lamp Oil</td>\n",
       "      <td>3.4</td>\n",
       "      <td>52.400000</td>\n",
       "      <td>131.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>Cereal Flip Lid Container/Storage Jar - Assort...</td>\n",
       "      <td>Cleaning &amp; Household</td>\n",
       "      <td>Bins &amp; Bathroom Ware</td>\n",
       "      <td>Nakoda</td>\n",
       "      <td>149.0</td>\n",
       "      <td>176.0</td>\n",
       "      <td>Laundry, Storage Baskets</td>\n",
       "      <td>3.7</td>\n",
       "      <td>15.340909</td>\n",
       "      <td>27.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>Creme Soft Soap - For Hands &amp; Body</td>\n",
       "      <td>Beauty &amp; Hygiene</td>\n",
       "      <td>Bath &amp; Hand Wash</td>\n",
       "      <td>Nivea</td>\n",
       "      <td>162.0</td>\n",
       "      <td>162.0</td>\n",
       "      <td>Bathing Bars &amp; Soaps</td>\n",
       "      <td>4.4</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   index                                            product  \\\n",
       "0      1             Garlic Oil - Vegetarian Capsule 500 mg   \n",
       "1      2                              Water Bottle - Orange   \n",
       "2      3                     Brass Angle Deep - Plain, No.2   \n",
       "3      4  Cereal Flip Lid Container/Storage Jar - Assort...   \n",
       "4      5                 Creme Soft Soap - For Hands & Body   \n",
       "\n",
       "                 category           sub_category              brand  \\\n",
       "0        Beauty & Hygiene              Hair Care  Sri Sri Ayurveda    \n",
       "1  Kitchen, Garden & Pets  Storage & Accessories         Mastercook   \n",
       "2    Cleaning & Household            Pooja Needs                Trm   \n",
       "3    Cleaning & Household   Bins & Bathroom Ware             Nakoda   \n",
       "4        Beauty & Hygiene       Bath & Hand Wash              Nivea   \n",
       "\n",
       "   sale_price  market_price                      type  rating  \\\n",
       "0       220.0         220.0          Hair Oil & Serum     4.1   \n",
       "1       180.0         180.0    Water & Fridge Bottles     2.3   \n",
       "2       119.0         250.0           Lamp & Lamp Oil     3.4   \n",
       "3       149.0         176.0  Laundry, Storage Baskets     3.7   \n",
       "4       162.0         162.0      Bathing Bars & Soaps     4.4   \n",
       "\n",
       "   loss_percentage  profit  \n",
       "0         0.000000     0.0  \n",
       "1         0.000000     0.0  \n",
       "2        52.400000   131.0  \n",
       "3        15.340909    27.0  \n",
       "4         0.000000     0.0  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "cleaned_data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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