Categories / tidyverse
Calculating the Difference Between Duplicates: A Deep Dive into Data Cleaning and Manipulation with R's Tidyverse Package
Understanding Tidyverse's map() Function for Accessing Column Names in Mapped Tables
Mastering Data Transformation: R Code Examples for Wide & Narrow Pivot Tables
R Dataframe Merge Using Timestamps with data.table Package for Overlapping Rows
Stacking Data: A Guide to Understanding and Applying Melt Sets in R and Python
Filling Missing Data in Tables with R Programming Language
Specify Column Types in read_csv by Using Values in a DataFrame
Selecting Non-NA Variables from Multiple Columns to Mutate into a Unified Variable in R
Here is the code with explanations and improvements.
Using R's Dplyr Package for Efficient Grouping and Summarization with Multiple Variables