NYCPlanning / NYCPlanning/data-engineering
Data validation for DE Datasets
Open
Nobody has claimed this yet.
QA
- Dominant language
- Python
- Stars
- 43
- Forks
- 3
- Avg merge
- 23h 3m
- Merged PRs (30d)
- 44
Description
Implement Pandera and check all DE datasets for correctness (e.g. no decimals on BBL columns)
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.
Research direction
Start by inventorying the DE datasets and determining where Pandera validation belongs; the issue names no files, tests, or entry points. Define the required checks from the dataset schemas, including the stated constraint on BBL columns. Done means all DE datasets are checked for correctness and the validation passes.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data-engineering, testing-qa
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100