regex: finding patterns in [text] strings

Code: https://github.com/libjohn/workshop_rfun_iterate
full video series -- playlist -- https://www.youtube.com/watch?v=PrUnbYlC1kY&list=PLIUcX1JrVUNWW7RgPh9ysmJM3mBpIAlYG


Using the case-study of data cleaning, this modular video series will demonstrate iteration with `purrr::map()` and custom functions while also showing several Tidyverse tips and tricks. This individual video (# 2-A) in the series presents the concept of regex, aka regular expressions. Coders use regex to finding patterns in text and almost every computer user unwittingly uses regex in their periodic find-and-replace operations. This video is about applying regex in a Tidyverse/R context. Each #IterateFunctionsR video will become progressively more fluent, using building-blocks to present intermediate data manipulation techniques in R and the Tidyverse.

By the end of the series you'll learn how to use the purrr package, a very convenient package in support of iterating over list-columns and nested data frames. purrr::map() iteration is often more convenient and efficient than a **For-loop**. You'll also learn how to compose custom functions in R.
since R is a functional programming language, composing your own custom functions can increase your fluency as an R coder.

Contents:
0:00 - introduction
1:00 - regex definition (regular expressions)
1:55 - strategy for regex pattern matching in the Tidyverse
2:28 - regex coding explanation - introduction to regex codes
4:08 - stringr functions coding demonstration

Materials available at https://github.com/libjohn/workshop_rfun_iterate
stringr cheatsheet - https://stringr..tidyverse.org
More Rfun at https://Rfun.library.duke.edu/
Part of the CDVS Workshop Series: http://library.duke.edu/data/