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Description
This is an issue to start adding ideas or things to improve for next year.
Challenges
- Give several csv data files with some slightly messy bits in each file and get them to read in each file, tidy it up, and put into a single data frame, in as little lines of (properly styled) code.
- Give them a dataset and show them a cleaned up wrangled version (convert to wide, combine columns, etc). Tell them to get their output to look like ours in as little code as possible (or even just get them to do it).
- Do more of those "try to reproduce this figure with code".
Note: We should really make sure to go over the code from the example and explain why and the reasoning behind doing it a particular why... to encourage "ocmputational thinking".
Lesson content & order
- Introduce Git/GitHub sooner and get them doing basic things with it earlier on (like make an Issue. Take a screenshot of a git log output. Etc).
- Do a session on project workflow, filenaming, file organization etc (just judging from the current final assignments)
- Emphasize importance of exploratory data analysis/visualization
- Add in a section to R Markdown lectures on using bibliographies/citations?
I'll add more as I think about it
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