ee1e8abd87
* feat(tools): add seed/solution restore script * chore(curriculum): remove empty sections' markers * chore(curriculum): add seed + solution to Chinese * chore: remove old formatter * fix: update getChallenges parse translated challenges separately, without reference to the source * chore(curriculum): add dashedName to English * chore(curriculum): add dashedName to Chinese * refactor: remove unused challenge property 'name' * fix: relax dashedName requirement * fix: stray tag Remove stray `pre` tag from challenge file. Signed-off-by: nhcarrigan <nhcarrigan@gmail.com> Co-authored-by: nhcarrigan <nhcarrigan@gmail.com>
32 lines
974 B
Markdown
32 lines
974 B
Markdown
---
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id: 5e46f7f8ac417301a38fb92a
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challengeType: 10
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dashedName: medical-data-visualizer
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---
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# --description--
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In this project, you will visualize and make calculations from medical examination data using matplotlib, seaborn, and pandas.
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You can access [the full project description and starter code on repl.it](https://repl.it/@freeCodeCamp/fcc-medical-data-visualizer).
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After going to that link, fork the project. Once you complete the project based on the instructions in 'README.md', submit your project link below.
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We are still developing the interactive instructional part of the data analysis with Python curriculum. For now, you will have to use other resources to learn how to pass this challenge.
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# --hints--
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It should pass all Python tests.
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```js
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```
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# --solutions--
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```py
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# Python challenges don't need solutions,
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# because they would need to be tested against a full working project.
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# Please check our contributing guidelines to learn more.
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```
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