Tags / dplyr
Understanding the dplyr::do Function with data.table: A Comprehensive Guide to Data Manipulation
Summarizing Data with dplyr: Powerful Functions for Efficient Analysis in R
Summing Matched Key Values in R Using dplyr Package for Data Manipulation
Modifying R Function to Filter MTCARS Dataset Based on Column Name
Using `unnest` Function from Tidyr to Expand DataFrames in R
Exporting Lists to Self-Formatted Text Files in R: A Step-by-Step Guide
Counting Number of Each Factor Grouping by Another Factor in a Dataset Using R.
Understanding the dplyr `mutate` Function and Error Handling with Categorical Variables
Understanding Data Frames and Filling Missing Values in R Using Rolling Joins with the data.table Package
Joining Big DataFrames in R and Filtering in the Same Time: A Comparative Analysis of sqldf and data.table Packages