This project involves cleaning and enhancing a comprehensive movie dataset from Kaggle using Python and Pandas. The dataset includes 85,855 entries with 22 attributes. The primary goal is to handle missing values, correct inconsistencies, and ensure accurate data types, optimizing the dataset for insightful analysis and visualization.
active 2024-07-13 → 2024-07-15 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 3 days from 2024-07-13 to 2024-07-15. Pushes: 20 total, peak 11 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 |
|---|---|---|---|---|
| anandavii | 20 | 20 | 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.