This project involves analyzing grocery data to uncover insights, trends, and patterns in consumer behavior. The data includes various details on grocery items, potentially including categories, prices, quantities, and more.
The goal of this project is to analyze grocery data to help understand buying patterns, pricing trends, and other relevant insights. The dataset may include item details, purchase frequencies, pricing, and other variables useful for grocery market analysis.
The dataset used in this project is provided in the file BlinkIT Grocery Data Excel.xlsx. It may include the following columns:
- Item Name: The name of the grocery item.
- Category: The category of the item (e.g., fruits, vegetables, beverages).
- Price: The price of each item.
- Quantity: The quantity available or sold.
- Date: The date of the transaction.
- Clone the repository:
git clone https://github.com/yourusername/blinkit-grocery-analysis.git cd blinkit-grocery-analysis
Contributions are welcome! Please submit a pull request with a description of your changes.
Let me know if you'd like to add more specific information about the data analysis goals or particular tools used.
Thank you for your video tutorial Swapnjeet s