How to Clean and Manipulate Data in R Using Regular Expressions and String Splitting Techniques

Calculating Assignments in a Column Based on Occurrences in Another Column Using Multiple Methods in R

Wrapping Functions Around Tibble Creation: Understanding Assignment and Return Values

Understanding the Pivot Wider Function in R: A Comprehensive Guide to Data Transformation

Creating Simple Formulas in R: A More Concise Approach to the formulator Function

Creating a Descending Value Pivot Table with dplyr: A More Elegant Approach

Handling Missing Data in R: A Conditional Approach Using Consecutive NA Values

Understanding Variable Selection in dplyr Package: Workarounds for Missing Variables

Creating a Column Based on Substring of Another Column Using `case_when` with Alternative Approaches

Using `arrange()` Function with `is.na()` to Sort Missing Values in dplyr