Created
May 3, 2026 13:06
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| { | |
| "cells": [ | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2025-12-05T12:30:51.825382Z", | |
| "start_time": "2025-12-05T12:30:51.815020Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": "import pandas as pd", | |
| "id": "6e1966ac6dee2bef", | |
| "outputs": [], | |
| "execution_count": 8 | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2025-12-05T12:29:20.017414Z", | |
| "start_time": "2025-12-05T12:29:19.912932Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "retail_df=pd.read_csv('retail_sales_dataset.csv')\n", | |
| "print(retail_df.head())" | |
| ], | |
| "id": "2d68a6cf2ab1bd04", | |
| "outputs": [ | |
| { | |
| "name": "stdout", | |
| "output_type": "stream", | |
| "text": [ | |
| " Customer ID Gender Age Product Category Quantity Price per Unit\n", | |
| "0 CUST001 Male 34 Beauty 3 50\n", | |
| "1 CUST002 Female 26 Clothing 2 500\n", | |
| "2 CUST003 Male 50 Electronics 1 30\n", | |
| "3 CUST004 Male 37 Clothing 1 500\n", | |
| "4 CUST005 Male 30 Beauty 2 50\n" | |
| ] | |
| } | |
| ], | |
| "execution_count": 5 | |
| }, | |
| { | |
| "metadata": { | |
| "ExecuteTime": { | |
| "end_time": "2025-12-05T12:36:18.991061Z", | |
| "start_time": "2025-12-05T12:36:18.984135Z" | |
| } | |
| }, | |
| "cell_type": "code", | |
| "source": [ | |
| "def product_appeal(Age):\n", | |
| " if Age<=30:\n", | |
| " return 'Youth Appeal'\n", | |
| " elif Age>45:\n", | |
| " return 'Mature Appeal'\n", | |
| " else:\n", | |
| " return 'General Appeal'\n", | |
| " retail_df['Product_Appeal']=retail_df[\"Age\"]\n", | |
| " retail_df.head()\n" | |
| ], | |
| "id": "ca508f87d786d471", | |
| "outputs": [], | |
| "execution_count": 10 | |
| } | |
| ], | |
| "metadata": { | |
| "kernelspec": { | |
| "display_name": "Python 3", | |
| "language": "python", | |
| "name": "python3" | |
| }, | |
| "language_info": { | |
| "codemirror_mode": { | |
| "name": "ipython", | |
| "version": 2 | |
| }, | |
| "file_extension": ".py", | |
| "mimetype": "text/x-python", | |
| "name": "python", | |
| "nbconvert_exporter": "python", | |
| "pygments_lexer": "ipython2", | |
| "version": "2.7.6" | |
| } | |
| }, | |
| "nbformat": 4, | |
| "nbformat_minor": 5 | |
| } |
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