Tags / dplyr
How to Clean and Manipulate Data in R Using Regular Expressions and String Splitting Techniques
Understanding Joining Dataframes with Multiple Criteria in R using the dplyr Package
R Code Example: Creating Missing Values and Calculating Summary Statistics for ID-Based Data
Handling Missing Values when Grouping Data in R: The Power of `na.rm = TRUE`
Assigning Multiple Text Flags to Observations with tidyverse in R
Pivoting Longest Functionality in R using Regular Expressions with `pivot_longer`
Handling Missing Data in R: A Conditional Approach Using Consecutive NA Values
Indenting Rows in a DataFrame with the GT Package
Troubleshooting Shiny App Deployment with Data.table Package Errors