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vineeth191004/Comprehensive-Data-Analysis-and-Visualization-for-a-Restaurant-Management-System

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The data analysis in this project is primarily conducted using SQL. The SQL queries extract and aggregate data from the database, providing insights into different aspects of the restaurant management system. The results of these queries are then visualized using Python libraries such as Matplotlib and Seaborn

active 2024-06-02 → 2024-06-02 (UTC)

Complete coverage28,043 / 28,043 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-26 (UTC)
Events
5
Pushes
2
Pull requests
0
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 1 days from 2024-06-02 to 2024-06-02. Pushes: 2 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.

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  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
vineeth1910042200

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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.