Big Basket_Data_Analysis_Project.

Project Details

This project performs Exploratory Data Analysis (EDA) on the Big Basket product dataset. The dataset contains 27,555 entries with details such as: Product name, category, sub-category, and brand Sale price, market price, discount Product type, rating, and description Key steps in the analysis include: Importing and cleaning the dataset Handling missing values and outliers Identifying top-selling and least-selling products Measuring discounts and analyzing pricing trends Exploring product category distribution Visualizing discount and rating distributions The goal is to uncover insights into customer preferences, pricing strategies, and product performance on Big Basket.