If you find any typos, errors, or places where the text may be improved, please let me know. The best ways to provide feedback are by GitHub or hypothes.is annotations.
Adding an annotation using hypothes.is. To add an annotation, select some text and then click the on the pop-up menu. To see the annotations of others, click the in the upper right-hand corner of the page.
R for Data Science: Exercise Solutions
January 17, 2019
These solutions have benefited from many contributors. A special thanks to:
- Garrett Grolemund and Hadley Wickham for writing the truly fantastic R for Data Science, without whom these solutions would not exist—literally.
- @dongzhuoer for a careful reading of the book and noticing numerous issues and proposing fixes.
Thank you to all of those who contributed issues or pull-requests on GitHub (in alphabetical order): @adamblake, @benherbertson, @carajoos, @dcgreaves, @decoursin, @dongzhuoer, @FluvialEDavis, @GoldbergData, @gvwilson, @JamesCuster, @jmclawson, @KleinGeard, @mjones01, @mvhone, @nickcorona, @nzxwang, @RandallEW, and@tinhb92 Thank you to all of you who contributed annotations on hypothes.is (in alphabetical order): @egurtzegi, @MajorosMask, and@sunxm03.
This work is licensed under a Creative Commons Attribution 4.0 International License
Wickham, Hadley, and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1st ed. O’Reilly Media.