Data Science Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface Data Science Introducing R R Constructs R Tasks R Strings R Read, Write, and Create Data Template Data Exploration Data Wrangling Data Visualisation Statistics ML Template ML Scenarios ML Activities ML Applications ML Algorithms Cluster Analysis Decision Trees Computer Vision Graph Data Privacy Literate Data Science Coding with Style Resources Bibliography Index

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Chapter: R Strings

20200421 Wrangling strings of characters is something we will find ourselves doing often as data scientists. R provides a comprehensive set of tools for handling and processing strings. In this chapter we review the functionality provided by R for managing and manipulating strings. Karthik Bharadwaj of Singapore contributed to this chapter. A freely available ebook by Gaston Sanchez, Handling and Processing Strings in R (2013) provides an extensive treatise on using strings in R.