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Welcome

Cover image

This book contains the exercise solutions for the book R for Data Science, by Hadley Wickham and Garret Grolemund (Wickham and Grolemund 2017).

R for Data Science itself is available online at r4ds.had.co.nz, and physical copy is published by O’Reilly Media and available from amazon.

Acknowledgments

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 and @cfgauss for careful readings 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, @bhishanpdl, @bob100000000000, @carajoos, @daczarne, @dcgreaves, @decoursin, @dongzhuoer, @eric-k-zhu, @FluvialEDavis, @GoldbergData, @gvwilson, @henrikmidtiby, @JamesCuster, @jmclawson, @kxchia1, @liuminzhao, @MarkusGeard, @mjones01, @mvhone, @nickcorona, @nielsenmarkus11, @nzxwang, @RandallEW, @rbjanis, @timothydobbins, and@tinhb92 Thank you to all of you who contributed annotations on hypothes.is (in alphabetical order): @cfgauss, @Eyayaw, and @jlopez11.

License

This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Wickham, Hadley, and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. 1st ed. O’Reilly Media.