Categories / dplyr
Understanding and Implementing Comments in R Pipelines with dplyr and tidyr: Best Practices for Clarity and Readability
Left Joining Two Dataframes Using grep and powerjoin in R
Using cut() with dplyr: A More Efficient Approach to Distilling Summary Statistics
Using dplyr Package for Advanced Data Manipulation Techniques in R
Summarizing Data Using group_by across Several Columns in R
Matching Rows with Partial Keywords using dplyr and stringr: A Comparison of Two Approaches
Binding Data Frames in R: 3 Essential Methods for Preserving Index Information
Summarizing All Columns Except for Duplicate Strings and NA Values in R Using `summarize_all`
Understanding Vector Output for if_else or Alternative in R: A Solution with str_extract
Calculating Weekly Differences in Purchase History for Each PAN ID and Brand ID