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17 lines
748 B
Plaintext
17 lines
748 B
Plaintext
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# Some other useful books and guides:
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## R Data Science Books:
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- [R For Data Science 2e](https://r4ds.hadley.nz/)
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- [Data Science in a Box](https://datasciencebox.org/01-overview)
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- [R Markdown: The Definitive Guide](https://bookdown.org/yihui/rmarkdown/)
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## Python Data Science Books:
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- [Intro to Cultural Analytics and Python](https://melaniewalsh.github.io/Intro-Cultural-Analytics/welcome.html)
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- [The Hitchhiker's Guide to Python](https://docs.python-guide.org/)
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## Reproducible Research:
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- [Anna Krystalli, Putting the into Reproducible Research: Directors Cut](https://annakrystalli.me/talks/r-in-repro-research-dc.html)
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# Web tools for data scientists:
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- ["i want hue: colors for data scientists"](https://medialab.github.io/iwanthue/)
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