This project aims to develop a data processing pipeline in Python to comprehensively assess the quality of six CSV data sets. Using Python libraries, a detailed analysis will be performed to identify and quantify the presence of outliers, out-of-range data, formatting errors, duplicates and null values in the data.
active 2024-09-17 → 2024-09-27 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 11 days from 2024-09-17 to 2024-09-27. Pushes: 21 total, peak 21 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 |
|---|---|---|---|---|
| ALS-12321 | 21 | 21 | 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.