Skip to content

ayush-4299/Election-Data-Analysis-Python

View on GitHub ↗Related repositories →

This repository focuses on analyzing election data using Python, Pandas, Numpy, Matplotlib, and Seaborn. It provides insights into voter turnout trends, candidate performance, and party-wise comparisons. The project includes data cleaning, preprocessing, exploratory data analysis (EDA), and visualizations to uncover key electoral patterns.

active 2025-04-122025-05-02 (UTC)

Complete coverage26,461 / 26,461 hourly files (100%) · 2 absent upstream2023-08-152026-08-21 (UTC)
Events
46
Pushes
14
Pull requests
9
Issues
0
Stars
15
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 21 days from 2025-04-12 to 2025-05-02. Pushes: 14 total, peak 11 in a day. Pull requests: 9 total, peak 9 in a day. Issues: 0 total, peak 0 in a day. Comments: 0 total, peak 0 in a day. Stars: 15 total, peak 12 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

ContributorContributionsPushesPRsComments
ayush-4299211470
Logic-builder242020

Recent activity

Latest issues, pull requests and releases

  • Pull request#10Logic-builder242025-04-23 05:53
  • Pull request#9Logic-builder242025-04-23 05:53
  • Pull request#7ayush-42992025-04-23 05:51
  • Pull request#6ayush-42992025-04-23 05:50
  • Pull request#5ayush-42992025-04-23 05:50
  • Pull request#4ayush-42992025-04-23 05:49
  • Pull request#3ayush-42992025-04-23 05:49
  • Pull request#2ayush-42992025-04-23 05:48
  • Pull request#1ayush-42992025-04-23 05:48

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 15 stars here means stars gained during the window, not the repo's star count.