10.10 Drop Missing Values

20220515 See Section 10.14 to replace missing values with an imputed (or guessed at) values, and Section 10.20 to replace missing values within a dataset with a nominated value.

To drop rows in a dataset that contain a missing value (NA) we can use tidyr::drop_na(). This can also be used within a pipeline.

---

Your donation will support ongoing availability and give you access to the PDF version of this book. Desktop Survival Guides include Data Science, GNU/Linux, and MLHub. Books available on Amazon include Data Mining with Rattle and Essentials of Data Science. Popular open source software includes rattle, wajig, and mlhub. Hosted by Togaware, a pioneer of free and open source software since 1984. Copyright © 1995-2022 Graham.Williams@togaware.com Creative Commons Attribution-ShareAlike 4.0