Great Tables 1 in Python: Structure, Format and Style

code
note
Posit PBC
Data Reporting
Great Tables
python
Author

Posit PBC

Published

April 24, 2025

Tables are an essential tool for presenting data in a structured, clear, and visually appealing format. With python 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 Acquired

  1. Building Tables with GT()
  • Created clean, well-structured tables using the GT() function in Python.
  1. Grouping Columns Under Spanner Headings
  • Organized related variables under shared headings to improve clarity and data structure.
  1. Adding Stubs for Row Labels
  • Used stubs to label rows, enhancing table readability and interpretability.
  1. Renaming Column Headers
  • Customized column titles for clarity and contextual relevance.
  1. Formatting Data: Applied formatting to:

  • Display currency values in a reader-friendly style.

  • Convert fractional numbers into percentages for better interpretation.

  1. Styling with tab_style()

  • Enhanced table appearance by:

  • Highlighting specific columns with background colors.

  • Making totals or summary rows bold for emphasis.

  1. Advanced Customization
  • Explored additional customization features to improve storytelling and visual aesthetics.

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