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Virtual-Environment-Navigation/analyze_bifurcation_data

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The purpose of this code is to use Python to analyze data from Trent's PhD work, where I had participants follow a crowd that split (in an increasing manner) in two directions. The purpose of this experiment was to determine when individuals stop averaging the direction of motion of two groups and follow individual sub-groups.

active 2023-09-272024-01-26 (UTC)

Complete coverage26,489 / 26,489 hourly files (100%) · 2 absent upstream2023-08-152026-08-22 (UTC)
Events
31
Pushes
12
Pull requests
7
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 122 days from 2023-09-27 to 2024-01-26. Pushes: 12 total, peak 3 in a day. Pull requests: 7 total, peak 3 in a day. Issues: 0 total, peak 0 in a day. Comments: 1 total, peak 1 in a day. Stars: 0 total, peak 0 in a day.

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  • Pull requests
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Top contributors

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

ContributorContributionsPushesPRsComments
trentwirth201271

Recent activity

Latest issues, pull requests and releases

  • Pull request#4trentwirth2024-01-18 02:58
  • Pull request#4trentwirth2024-01-18 02:58
  • Pull request#3trentwirth2023-10-18 14:59
  • Issue comment#3trentwirth2023-10-18 14:59
    save results to json file
  • Pull request#2trentwirth2023-10-18 13:59
  • Pull request#2trentwirth2023-10-18 13:59
  • Pull request#1trentwirth2023-10-04 13:58
  • Pull request#1trentwirth2023-10-04 13:57

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.