Optimizing Performance When Working with Large Datasets in ggplot2 Using Loops

Using dplyr's Group Operations: Simplifying Function Application Per Group Without Defining Separate Functions

Calculating Descriptive Statistics Across Multiple Variables in R

Working with ggplot2: Overcoming Challenges in Referencing Data Frame Variables in Scales

Here is a complete code snippet that combines all the interleaved code you wrote in a nice executable codeblock:

Making Your Custom Functions Available at Startup in R: Best Practices for Reproducibility and Efficiency

Using the `slice` Function in dplyr for the Second Largest Number in Each Group

Anonymous Functions vs Named Functions: The Surprising Performance Implications

Creating Multiple Choropleth Maps from Each Column in a Data Frame using R and ggplot2: A Step-by-Step Guide to Efficient Map Generation

Mastering Group By and Filter: A Guide to Efficient Data Management with Dplyr