• Find a dataset (CSV) on Kaggle or similar sites or you may use the provided dataset. • Demonstrate at least 2 partition strategies and apply transformation pipeline on partitioned datasets in Spark. (e.g. summarize the data, sort data, filter by country or date) • Write a documentation for this activity (Format is provided on LMS)
active 2025-03-20 → 2025-03-20 (UTC)
Activity over time
Daily event counts in the loaded window
Line chart, 1 days from 2025-03-20 to 2025-03-20. Pushes: 1 total, peak 1 in a day. Pull requests: 2 total, peak 2 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.
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Top contributors
Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity
| Contributor | Contributions | Pushes | PRs | Comments |
|---|---|---|---|---|
| junmsr | 3 | 1 | 2 | 0 |
Recent activity
Latest issues, pull requests and releases
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.