Weekly Label Check
@chelseyklein ci sta già lavorando.
Dal 13/10/2025.
Valutazione
Questa issue non è ancora stata valutata.
Descrizione
Dependency
2025-10-16
Overview
We need to perform a weekly check on issues to make sure they all conform to our label and milestone schema.
Action Items
- Check the following to make sure that they are all 0/0 (Links for checking to make sure that all issues either have a ___ or a ____ missing label)
- Role
- size
- feature
- Add any label missing (e.g., a new feature label got added to the project, but didn't yet get added here) and update link
- issues that have not yet been added to project board
- add to project board
- if changes were made, recheck to make sure all links ended up 0/0
- Audit for issues with Missing labels (to determine if we are making progress)
- Copy this audit report format to a comment below
Date:
- [ ] Did you have to update the 0/0 links above? if yes, please say what you did (e.g, Added features to the features check above or added an issue to the project board that has not been added yet).
- [ ] Report what the numbers are on issues that are missing labels (e.g., size, ending at 12/5)
- [ ] role, ending at
- [ ] size, ending at
- [ ] features, ending at
- [ ] milestone, ending at
- [ ] Issues not on the project board
#### Icebox issue
- [ ] [Icebox Issues w no dependency]()
- Lingua principale
- Jupyter Notebook
- Stelle
- 34
- Fork
- 23
- Metriche di merge delle PR
- Nessuna PR unita negli ultimi 30g
Preparare l'ambiente
- Nessun Dockerfile né file Docker Compose
- Nessun modello di pull request
- Leggi la guida per i contributori
Come iniziare
- Leggi tutta la issue e poi la guida ai contributi del progetto.
- Commenta sulla issue per dire che te ne occupi tu — evita che due persone facciano lo stesso lavoro.
- Fai un fork del repository e lavora su un branch.
- Apri una pull request che faccia riferimento al numero della issue.
Altre issue di hackforla/data-science
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hackforla/data-science#279 ·
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complexity: Large CoP: Data Science project duration: one time role: data science size: 8pt
Difficoltà 5/5 Più di una settimana Idoneità per principianti 25/100
hackforla/data-science#278 ·