The-Strategy-Unit / The-Strategy-Unit/nhp_model_databricks
how to handle scaling of results
Open
Nobody has claimed this yet.
- Dominant language
- Jupyter Notebook
- Stars
- 0
- Forks
- 1
- Avg merge
- 1d 21h
- Merged PRs (30d)
- 1
Description
in the national notebook we sample data, but we do not record the sample rate used, or scale the results back up. we should do one of these, otherwise we have got to guess what the sample rate used was
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 locating the national notebook and the step where data is sampled. Determine whether the intended outcome is to record the sampling rate or scale results back up; this is done when the sampling rate is explicit and results no longer require guessing.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook
- Domain
- data
- Issue type
- Feature
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Quiet
- Clarity
- Needs clarification
- Newbie friendliness
- 42/100