Data for lab:
Required readings:
- Quartz. The Quartz guide to bad data. https://github.com/Quartz/bad-data-guide
- “An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.”
- Don’t read this thoroughly, but browse through it a bit!
Further reading and resources:
Wickham, H. and Grolemund, G. (2022) R for Data Science. Sebastopol, CA: O’Reilly. https://r4ds.hadley.nz/
Robinson, D. Tidy Tuesday live screencasts. https://www.youtube.com/@safe4democracy/streams
- Livestreamed data cleaning and analysis videos. See also https://www.youtube.com/@JuliaSilge
Data Carpentry. (2022) Social Science Curriculum. https://datacarpentry.org/lessons/#social-science-curriculum
- Recommended workshop rather than reading; look for upcoming workshops!