I completed a data analysis project focused on Diwali sales using Python and popular data science libraries such as NumPy, Pandas, and Matplotlib. This project aimed to gain insights into sales trends, customer behavior, and product performance during the Diwali festival season, enabling data-driven decision-making for business improvement.
active 2023-12-11 → 2024-02-02 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 54 days from 2023-12-11 to 2024-02-02. Pushes: 7 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 4 total, peak 1 in a day.
- Pushes
- Pull requests
- Issues
- Comments
- Stars
Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| jaibairagi01 | 7 | 7 | 0 | 0 |
Recent activity
Latest issues, pull requests and releases
No issue or PR events — this repo's activity is pushes only.
Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 4 stars here means stars gained during the window, not the repo's star count.