So far, you’ve learned the tools to get your data into R, tidy it into a form convenient for analysis, and then understand your data through transformation, and visualization. However, it doesn’t matter how great your analysis is unless you can explain it to others: you need to communicate your results.

A diagram displaying the data science cycle with communicate highlighed in blue.
Figure 1: Communication is the final part of the data science process; if you can’t communicate your results to other humans, it doesn’t matter how great your analysis is.

Communication is the theme of the following two chapters:

These chapters focus mostly on the technical mechanics of communication, not the really hard problems of communicating your thoughts to other humans. However, there are lot of other great books about communication, which we’ll point you to at the end of each chapter.