2023-09-30 13:18:20 +00:00
|
|
|
# Some other useful books and guides:
|
|
|
|
|
|
|
|
|
|
## R Data Science Books:
|
|
|
|
|
- [R For Data Science 2e](https://r4ds.hadley.nz/)
|
|
|
|
|
- [Data Science in a Box](https://datasciencebox.org/01-overview)
|
|
|
|
|
- [R Markdown: The Definitive Guide](https://bookdown.org/yihui/rmarkdown/)
|
2023-10-01 18:24:50 +00:00
|
|
|
- [R Graphics Cookbook, 2nd edition](https://r-graphics.org/)
|
2023-09-30 13:18:20 +00:00
|
|
|
|
|
|
|
|
## Python Data Science Books:
|
|
|
|
|
- [Intro to Cultural Analytics and Python](https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html)
|
|
|
|
|
- [The Hitchhiker's Guide to Python](https://docs.python-guide.org/)
|
|
|
|
|
|
|
|
|
|
## Reproducible Research:
|
|
|
|
|
- [Anna Krystalli, Putting the into Reproducible Research: Directors Cut](https://annakrystalli.me/talks/r-in-repro-research-dc.html)
|
|
|
|
|
|
|
|
|
|
# Web tools for data scientists:
|
|
|
|
|
- ["i want hue: colors for data scientists"](https://medialab.github.io/iwanthue/)
|
