* 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>
556 B
556 B
id, challengeType, videoId, dashedName
id | challengeType | videoId | dashedName |
---|---|---|---|
5e9a093a74c4063ca6f7c14c | 11 | VJrP2FUzKP0 | introduction-to-data-analysis |
--description--
More resources:
- Slides
--question--
--text--
Why should you choose R over Python for data analysis?
--answers--
It's simple to learn.
It's better at dealing with advanced statistical methods.
There are many powerful libraries that support R.
It's free and open source.
--video-solution--
2