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Irene-arch/Supply-Chain-Analytics-Python_PowerBI

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This project is part of a competition that was held by DataCamp.

active 2023-08-27 → 2023-09-04 (UTC)

Complete coverage26,679 / 26,679 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-08-30 (UTC)
Events
20
Pushes
3
Pull requests
0
Issues
7
Stars
0
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 9 days from 2023-08-27 to 2023-09-04. Pushes: 3 total, peak 3 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 7 total, peak 4 in a day. Comments: 8 total, peak 3 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
Irene-arch11304
TobyDavids4002
yaranathakur3002

Recent activity

Latest issues, pull requests and releases

  • Issue comment#5yaranathakur2023-09-04 18:44
    EDA using Microsoft Excel
  • Issue comment#5yaranathakur2023-09-03 18:57
    EDA using Microsoft Excel
  • Issue#6Irene-arch2023-09-03 18:56
    Proposed Analysis
  • Issue comment#5Irene-arch2023-09-03 18:47
    EDA using Microsoft Excel
  • Issue#5yaranathakur2023-08-31 17:12
    EDA using Microsoft Excel
  • Issue comment#4Irene-arch2023-08-29 20:14
    Data Analysis(EDA)
  • Issue#2Irene-arch2023-08-29 19:09
    Data Cleaning, Transformation
  • Issue comment#2Irene-arch2023-08-29 17:12
    Data Cleaning, Transformation
  • Issue comment#2TobyDavids2023-08-29 16:06
    Data Cleaning, Transformation
  • Issue comment#2Irene-arch2023-08-28 20:31
    Data Cleaning, Transformation
  • Issue#4Irene-arch2023-08-27 15:29
    Data Analysis(EDA)
  • Issue#3TobyDavids2023-08-27 15:27
    Analysis Questions
  • Issue#2TobyDavids2023-08-27 15:23
    Data Cleaning & Transformation
  • Issue comment#1TobyDavids2023-08-27 15:20
    Data Analysis EDA
  • Issue#1Irene-arch2023-08-27 15:09
    Data Analysis EDA

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.