https://github.com/codecademy/databookshelf
a library of cleaned, straight-forward, short and meaningful datasets to use for teaching learners
https://github.com/codecademy/databookshelf
Last synced: about 1 month ago
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a library of cleaned, straight-forward, short and meaningful datasets to use for teaching learners
- Host: GitHub
- URL: https://github.com/codecademy/databookshelf
- Owner: Codecademy
- Created: 2018-03-21T21:15:26.000Z (almost 8 years ago)
- Default Branch: master
- Last Pushed: 2018-04-04T19:44:02.000Z (almost 8 years ago)
- Last Synced: 2025-07-11T20:41:47.012Z (8 months ago)
- Size: 69.3 KB
- Stars: 1
- Watchers: 26
- Forks: 2
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# databookshelf
A library of cleaned, straight-forward, short and meaningful datasets to use for teaching learners
### Astro Popular Constellations
[Link](https://www.amnh.org/our-research/hayden-planetarium/digital-universe/) to learn more about the metadata
3d coordinates for different constellations in our milkyway
Great for 3d visualizaitons, spatial learning
### Sea Level Rise over Time
[Link](http://www.cmar.csiro.au/sealevel/thermal_expansion_ocean_heat_timeseries.html) to learn more about the metadata
Great for time analysis examples, great for Line Graph examples
### Population by Country 1980-2010
[Link](http://apps.who.int/gho/data/view.main.POP2040?lang=en) to learn more about the metadata
Great for time analysis examples, great for Line Graph examples
### Netflix, Inc. Common Historical Stock Prices
From April 4, 2017-2018
### Amazon.com, Inc. Common Historical Stock Prices
From March 21, 2017-2018
[Link](https://finance.yahoo.com/quote/AMZN/history?p=AMZN) to learn more about the metadata, download other stocks
Great for time analysis examples, great for Line Graph examples
### Global Drinking Water
2000 vs 2015 for every country
[Link](http://apps.who.int/gho/data/node.main-eu.SDG61?lang=en) to learn more about the metadata
Great for histograms
### Climate Change Burden of Disease
[Link](http://apps.who.int/gho/data/node.main.132?lang=en) to learn more about the metadata
Great for short dataset illustrations
### Human Microbiome Project
[Link](https://portal.hmpdacc.org/) to learn more about the metadata, not a dataset on this repo, but worth mentioning
Great if we need "way bigger datasets" than the rest of what's on here