In this Project I have done the Web Scraping of an Ecommerce Site (EBAY) & generated the data below which will show a filter category of books that contain Business Intelligence in its title. I have also answered few questions for data analysis.
active 2023-09-15 → 2023-10-19 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 35 days from 2023-09-15 to 2023-10-19. Pushes: 3 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: 1 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 |
|---|---|---|---|---|
| simran971 | 3 | 3 | 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 — 1 stars here means stars gained during the window, not the repo's star count.