PolicyEngine / PolicyEngine/policyengine-uk
Split UC rollout rate by region
Open
Nobody has claimed this yet.
parameters
- Dominant language
- Python
- Stars
- 50
- Forks
- 33
- Avg merge
- 20h 58m
- Merged PRs (30d)
- 14
Description
Using data from Commons library
Contributor guide
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 reading the Commons library source linked in issue #272 and determine how its Universal Credit rollout data is structured by region. Then locate the repository entry point that represents the rollout rate and add regional results, with the completed output split by region.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- data
- Issue type
- Feature
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100