Understanding dplyr Functions in R for Data Manipulation
Upload by JustinThe provided code snippets illustrate the usage of dplyr functions in R for data manipulation tasks. Specifically, it demonstrates how to group data using group_by(), perform summary computations with summarise(), and count the number of rows within groups using count(). Variations of summarise() function are also highlighted, such as summarise_all(), summarise_at(), and summarise_if(). These functions enable efficient data summarization and analysis in R, particularly when dealing with large datasets.
R programming
Data manipulation
dplyr
Data analysis
Statistical computing