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Outlier Detection in Election Data Using Geospatial Analysis. The analysis will involve geospatial techniques to find neighbouring polling units and calculate an outlier score for each party in each unit. The goal is to pinpoint polling units where the voting results significantly deviate from their neighbours, indicating potential irregularities

active 2024-07-022024-07-04 (UTC)

Complete coverage26,526 / 26,526 hourly files (100%) · 2 absent upstream2023-08-152026-08-24 (UTC)
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6
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2
Pull requests
0
Issues
0
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0
Forks
0

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Line chart, 3 days from 2024-07-02 to 2024-07-04. Pushes: 2 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.

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

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p3ris0n2200

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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.