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This project analyzes Zomato restaurant data using SQLite and Pandas. It focuses on cleaning and exploring data related to restaurant ratings, online orders, cuisine types, and service availability. Visualizations like stacked bar charts are used to study relationships between ratings and online ordering.

active 2024-09-282024-09-29 (UTC)

Complete coverage27,205 / 27,207 hourly files (100%) · 2 absent upstream2023-08-152026-09-21 (UTC)
Events
5
Pushes
3
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 2 days from 2024-09-28 to 2024-09-29. Pushes: 3 total, peak 2 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
Nimoo20033300

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.