Organizing Public Health Data with gt Tables in R - Basics

code
note
The GRAPH Course
Data Reporting
Grammar of tables
R
Author

The GRAPH Network

Published

February 19, 2025

Tables are an essential tool for presenting data in a structured, clear, and visually appealing format. With R and the gt package, we can create highly customizable tables that enhance data analysis and storytelling.

In this lesson, I mastered techniques to design aesthetically pleasing tables that effectively communicate insights.

Key Skills Gained

  1. Creating Tables with gt()
  • Learn to build well-structured tables using the gt() function in R.
  1. Grouping Columns Under Spanner Headings
  • Organize related columns under shared headings for better clarity and structure.
  1. Adding Stubs for Row Labels
  • Implement stubs to provide descriptive labels for rows, improving interpretability.

4.Renaming Column Headers

  • Customize column names for enhanced readability and contextual relevance.
  1. Incorporating Summary Rows
  • Add aggregate data (e.g., sums, averages) to summarize key insights within grouped data.

For a step-by-step guide with practical examples, visit this site.