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This project presents a comprehensive analysis of a retail sales dataset using SQL for data cleaning, transformation, and querying, followed by interactive visualization in Power BI. The objective is to extract meaningful business insights related to revenue trends, product performance, and market-wise distribution.

active 2025-06-202025-06-20 (UTC)

Partial coverage12,850 / 14,763 hourly files (87%) · 2 absent upstream · 1,907 failed, retryable2024-12-042026-08-11 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
3
Pushes
1
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2025-06-20 to 2025-06-20. Pushes: 1 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

ContributorContributionsPushesPRsComments
dev3z1100

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.