PyPSA / PyPSA/powerplantmatching
add streamlit application for capacity per country
Nobody has claimed this yet.
- Dominant language
- Python
- Stars
- 227
- Forks
- 74
- Avg merge
- 6d 17h
- Merged PRs (30d)
- 4
Description
People have one immediate question using ppm:
"How good is the data in Powerplantmatching?"
We could report the stats per country as in https://github.com/PyPSA/powerplantmatching/pull/110 (shown below) by creating a simple streamlit app. I recommend doing that in another repo called powerplantmatching-app to trial this. Please feel free to comment here if someone is interested in doing this task
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
Review the capacity-per-country statistics shown in PyPSA/powerplantmatching#110 and the example image in this issue. Decide how the proposed Streamlit application should be trialled in the separate powerplantmatching-app repository. Done means a working app that reports Powerplantmatching data-quality statistics per country.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, streamlit
- Domain
- data-visualization
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 25/100