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R for Data Science
book

R for Data Science

by Hadley Wickham, Garrett Grolemund
December 2016
Beginner to intermediate
520 pages
10h 12m
English
O'Reilly Media, Inc.
Content preview from R for Data Science

Part V. Communicate

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, visualization, and modeling. However, it doesn’t matter how great your analysis is unless you can explain it to others: you need to communicate your results.

data science communicate

Communication is the theme of the following four chapters:

  • In Chapter 21, you will learn about R Markdown, a tool for integrating prose, code, and results. You can use R Markdown in notebook mode for analyst-to-analyst communication, and in report mode for analyst-to-decision-maker communication. Thanks to the power of R Markdown formats, you can even use the same document for both purposes.

  • In Chapter 22, you will learn how to take your exploratory graphics and turn them into expository graphics, graphics that help the newcomer to your analysis understand what’s going on as quickly and easily as possible.

  • In Chapter 23, you’ll learn a little about the many other varieties of outputs you can produce using R Markdown, including dashboards, websites, and books.

  • We’ll finish up with Chapter 24, where you’ll learn about the “analysis notebook” and how to systematically record your successes and failures so that you can learn from them.

Unfortunately, these chapters focus mostly on the technical mechanics of communication, not the really hard ...

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Publisher Resources

ISBN: 9781491910382Errata Page