QuantEcon / QuantEcon/lecture-python-intro
[inequality] Explanations of stats terms/df headings/top shares
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improve
reading-group-2023
- Dominant language
- Jupyter Notebook
- Stars
- 65
- Forks
- 32
- Avg merge
- 4d 14h
- Merged PRs (30d)
- 6
Description
- We need to add more explanations of statistical terms.
- Add an explanation of each technical term in the df_income_wealth dataframe.
- It’s nice to have a descriptive definition of top shares.
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
Locate the lecture notebook containing the df_income_wealth dataframe and the discussion of top shares. Review its headings and statistical terminology first, then document each technical term and add a descriptive definition of top shares. Done means the dataframe terms and top-share concept are explained in the relevant notebook.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- jupyter-notebook, python
- Domain
- data, documentation
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 35/100