String Manipulation and Text Processing in R

Text data is everywhere, but it is often messy, unstructured, and difficult to analyze. Mastering string manipulation is a fundamental skill that allows you to clean datasets, extract key information, and prepare text for downstream data science tasks. This text-only course guides you from the absolute basics of character data to practical text-processing workflows in R. By reading through clear explanations and studying curated code snippets, you will gain the confidence to handle any text-based data cleaning task. What you'll learn: - Understand the foundational concepts of character vectors and string representation in R. - Manipulate text efficiently using core R functions and the modern stringr package. - Apply basic regular expressions (regex) to search, match, and extract specific text patterns. - Clean messy text data by managing whitespace, character casing, and string splitting. - Combine and format strings to prepare clean data inputs for your analytical models. You will begin with essential terminology and basic string operations before progressing to pattern matching and modern text-cleaning workflows. This course is designed for beginners who are new to R or want to strengthen their data-cleaning skills, with no prior text-processing experience required. Start reading today to unlock the power of text data in R.