We will use Python Pandas and Matplotlib to analyze the insight of the dataset. We can use the column Transaction Date, in this case, to glean useful insights on the busiest time (hour) of the day. You can access the entire dataset
active 2024-08-07 → 2024-11-27 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 113 days from 2024-08-07 to 2024-11-27. Pushes: 2 total, peak 1 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: 0 total, peak 0 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 |
|---|---|---|---|---|
| Surendra089 | 2 | 2 | 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 — 0 stars here means stars gained during the window, not the repo's star count.