Reading 11


Read the following chapters in R for Data Science before class on October 10:

  • All of Chapter 17 (short)
  • All of Chapter 18

Chapter 17 gives a short overview of how programming in R can streamline a data science workflow. Chapter 18 discusses pipes (%>%) in R and the tidyverse in greater detail.

Github discussion thread

Click here to go to the question and answer thread for Reading 11.

To receive a question post credit

Write a post in this thread that contains at least 2 questions you had about this reading before the end of the day on October 11. If you have more than 2 questions, that is okay! This is to help you learn.

Your questions should be written as complete sentences, and make sure that you include enough context in your post that other students will understand what you’re asking about.

To receive an answer post credit

Read through the questions asked by other students in this thread. Answer one of the questions using full sentences before the end of the day on October 17. When answering the question, tag the student that asked the question by typing @username, replacing the word “username” with their actual Github account name. In addition, tag me @jkglasbrenner and the CDS-101 grader @shuaibm at the top or bottom of your response.