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dlab-berkeley/Python-Data-Visualization-Pilot

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D-Lab's 4-hour introduction to data visualization with Python. Learn how to create histograms, bar plots, box plots, scatter plots, compound figures, and more, using matplotlib and seaborn.

active 2024-02-29 → 2024-05-13 (UTC)

Partial coverage18,258 / 23,387 hourly files (78%) · 2 absent upstream · 5,127 failed, retryable2023-12-12 → 2026-08-12 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
5
Pushes
0
Pull requests
0
Issues
3
Stars
1
Forks
1

Activity over time

Daily event counts in the loaded window

Line chart, 75 days from 2024-02-29 to 2024-05-13. Pushes: 0 total, peak 0 in a day. Pull requests: 0 total, peak 0 in a day. Issues: 3 total, peak 1 in a day. Comments: 0 total, peak 0 in a day. Stars: 1 total, peak 1 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
Emmavt2000
leahhrlee1000

Recent activity

Latest issues, pull requests and releases

  • Issue#9Emmavt2024-03-07 22:56
    Lesson 2 duplicate legend call
  • Issue#8Emmavt2024-03-05 22:28
    Binder missing pandas, matplotlib, and seaborn install in Notebook 01
  • Issue#6leahhrlee2024-02-29 00:18
    Challenge question 1 already have answers

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 1 stars here means stars gained during the window, not the repo's star count.