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8484- [ Software for Data Analysis: Programming with R] ( http://www.amazon.com/Software-Data-Analysis-Programming-Statistics/dp/0387759352 ) by John Chambers
8585- [ The R Inferno] ( http://www.burns-stat.com/pages/Tutor/R_inferno.pdf ) by Patrick Burns
8686
87- #### Tidyverse Specific
87+ #### Tidyverse or Tidymodels Specific
8888
8989- [ R for Data Science] ( http://r4ds.had.co.nz/ ) by Garrett Grolemund and Hadley Wickham
9090- [ Advanced R] ( https://adv-r.hadley.nz/ ) (starting in the second edition) by Hadley Wickham
9191- [ Grammar of Graphics] ( https://ggplot2-book.org/ ) , [ Book Source] ( https://github.com/hadley/ggplot2-book ) by Hadley Wickham
92- - [ ] ( https://socviz.co/ ) by
92+ - [ Data Visualization: A practical introduction] ( https://socviz.co/ ) by Kieran Healy
93+ - [ Feature Engineering and Selection: A Practical Approach for Predictive Models] ( http://www.feat.engineering/ ) by Max Kuhn and Kjell Johnson
9394
9495#### Domain Specific
9596
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99100- [ Hands-On Machine Learning with R] ( https://bradleyboehmke.github.io/HOML/ ) by Bradley Boehmke and Brandon Greenwell
100101- [ Introduction to Econometrics with R] ( https://www.econometrics-with-r.org/ ) by Christoph Hanck, Martin Arnold, Alexander Gerber and Martin Schmelzer
101102- [ Fundamentals of Data Visualization] ( https://serialmentor.com/dataviz/ ) by Claus O. Wilke
102- - [ Data Visualization: A practical introduction] ( https://socviz.co/ ) by Kieran Healy
103-
104103
105104### Version Control
106105
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