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>
41 lines
593 B
Markdown
41 lines
593 B
Markdown
---
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id: 5e9a093a74c4063ca6f7c14c
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title: Introduction to Data Analysis
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challengeType: 11
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videoId: VJrP2FUzKP0
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dashedName: introduction-to-data-analysis
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---
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# --description--
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More resources:
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\- [Slides](https://docs.google.com/presentation/d/1fDpjlyMiOMJyuc7_jMekcYLPP2XlSl1eWw9F7yE7byk)
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# --question--
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## --text--
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Why should you choose R over Python for data analysis?
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## --answers--
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It's simple to learn.
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---
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It's better at dealing with advanced statistical methods.
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---
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There are many powerful libraries that support R.
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---
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It's free and open source.
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## --video-solution--
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2
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