R Tutorial: String Manipulation with stringr in R | Intro

Want to learn more? Take the full course at https://learn.datacamp.com/courses/string-manipulation-with-stringr-in-r at your own pace. More than a video, you'll learn hands-on coding & quickly apply skills to your daily work. --- Welcome to string manipulation with stringr! Elements of character vectors are known as "strings". stringr is a package specifically built for manipulating strings. While some of the functionality of stringr is available in base R, the functions in stringr have consistent syntax, simplified options and sensible defaults, that combine to make them much easier to learn. To fully utilize the power of stringr you'll also learn about regular expressions. Regular expressions are a language for describing patterns in text, like "starts with c", or "a dollar sign followed by one or more digits". You'll use the rebus package to help you construct the concise, yet somewhat cryptic expressions, from functions with intuitive names. So what will you be able to do with stringr and rebus? You'll be able to answer questions about strings of dna, like how long are the genes, how many A's occur and which strings have a particular sequence. You'll be able to pull out variables from messy strings, like the age and gender from an accident narrative like this one. You'll be able to find and replace parts of strings to anonymize senstive data. You'll be able to in read in text, like the text to the Oscar Wilde play "The Importance of Being Earnest", then leverage your string processing skills to figure out how many lines each character speaks. To kick things off and prepare you for your first stringr functions in Chapter 2, in this chapter you'll learn a few fundamentals about strings: how to enter strings in R, how to control how numbers are turned into strings, and how to combine strings into sentences or tables. You've probably already entered strings in R. To tell R something is a string you surround it with double quotes. But, what happens if yo