Supermarket_Sales_Analysis

This project uses Python and Pandas to clean, prepare, and analyze supermarket sales data.

The dataset used in this project is:

SuperMarket.csv

The goal is to clean the data and answer business questions using the available sales and transaction information.

🛠️ Tools Used

Python

Pandas

Matplotlib / Seaborn (Optional)

Streamlit (Optional)

🧹 Data Cleaning

The following data-cleaning steps were performed:

Checked data types

Checked missing values

Checked duplicate records

Renamed columns

Removed unnecessary columns

Corrected data types

Sorted the data

Create 3 columns (Day, Month, Year )

Created the satisfied column based on the rating