GitHub issues burndown chart & survival analysis
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 15/100
- Issue type
- Documentation
- Clarity
- Needs clarification
- Activity status
- Stale
- Tech stack
- sql
- Domain
- analytics, data-visualization, databases
Research direction
Start with the linked Observable notebook and the GitHub issue dataset used there, then review how the burndown and survival-analysis charts are produced. Done is not defined: the post shares an exploration but does not request a repository change or specify an acceptance condition.
Written by the indexing model from the issue text.
Description
Hello, thanks for providing this dataset!
Not sure if this is the right place to post, but I used it my Observable notebook to analyze how long do issues "live" and to create some "burndown" charts.
After playing a bit with Observable + ClickHouse, I found it to be a great combo for performing and sharing such explorations.
Here are some charts for ClickHouse repo:
- Dominant language
- HTML
- Stars
- 180
- Forks
- 19
- PR merge metrics
- No merged PRs in 30d
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
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