Tags / dplyr
Manipulating Data Frames to Consolidate Relevant Values in R Using Tidyverse
Creating a Column Based on Substring of Another Column Using `case_when` with Alternative Approaches
Working with DataFrames in R: Mastering the dplyr select() Function for Efficient Data Manipulation
Identifying Customers Who Placed Their Next Order Before Delivery Using R
Detecting Outliers Using the Interquartile Range Method in R
Pivoting Longest Functionality in R using Regular Expressions with `pivot_longer`
Mastering Dplyr's Group By Functionality: A Comprehensive Guide to Looping and Summarizing Data