This project analyzes website traffic data using Python. We extract meaningful insights by processing a dataset containing page views, session durations, bounce rates, and traffic sources.
- Python
- Pandas
- Matplotlib
- Seaborn
- Clone this repository.
- Place your dataset (
traffic_data.csv) in the same directory. - Open the Jupyter Notebook
Vaishnavi_202401100300272.ipynb. - Run all the cells to generate insights and visualizations.
The notebook generates various charts, including:
- Website traffic trends over time (page views).
- Unique visitors analysis.
- Bounce rate analysis.