An interactive web dashboard built using Streamlit and Python for analyzing supermarket sales data. This project focuses on visualizing key sales patterns and product trends through graphs.
- Sales trends by day of the week
- Most sold product lines by sales and quantity
- Day-wise performance of product categories
- Time-of-day sales distribution (Morning, Afternoon, Evening)
- Simple and clean visualizations using Matplotlib
[SuperMarket Analysis.csv](https://www.kaggle.com/datasets/faresashraf1001/supermarket-sales)- 1000 records from a supermarket over a period of time
- Includes features like:
- Date and Time of transaction
- Product line
- Quantity, Sales, and Payment method
- Branch, City, Gender
- Python
- Pandas
- Matplotlib
- Streamlit
- Clone this repository:
git clone https://github.com/yourusername/supermarket-sales-dashboard.git
cd supermarket-sales-dashboard