Selecting main datasets
Nobody has claimed this yet.
Assessment
- Difficulty
- 5/5
- Estimated time
- Over a week
- Newbie friendliness
- 25/100
Research direction
The issue lists 11 socioeconomic and demographic datasets selected from 24, but names no file, test, or entry point. Start by locating where ColOpenData records or acquires its datasets and determine how this selection should be represented. Done means the selected datasets and their inclusion criteria are consistently reflected in the package.
Written by the indexing model from the issue text.
Description
We had a big number of datasets regarding economical and demographic information. However, we realized it was of main importance to select some of them, which were more related to epidemics and which made more sense in the epiverse. From the original datasets (24) and we decided to stick to 11 that were more relevant:
Demographics and population:
• 2018 National Population and Living Census
• Housing deficit
• Migration rate survey
• Mobility and migration
• Births and deaths
• Population projections
• Living and Housing projections
Poverty and life conditions:
• National survey of life quality
• Dissatisfied basic needs
• Time and income poverty
• Poverty and inequality
- Dominant language
- R
- Stars
- 12
- Forks
- 1
- PR merge metrics
- No merged PRs in 30d
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.
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