Mastering Data Manipulation with dplyr: A Comprehensive Guide to R's Powerful Package

Summarizing Data Using group_by across Several Columns in R

Tidying Linear Model Results with dplyr and Broom for Predictive Analytics

Removing Duplicate Lines in R while Keeping Bottom Lines: 2 Powerful Techniques for Efficient Data Analysis

Using `filter()` (and other dplyr functions) Inside Nested Data Frames with `map()` in R

Separating Categorical Variables in R Using separate()

Generating the Same Random Sample Each Time in a Loop Using Sample_frac

Merging DataFrames in R with Missing Values Present in Common Column Using dplyr Library

Calculating Average Productivity Growth Between Two Months in R

Extracting Integer Values from Factors in dplyr Using mutate()