Date: May 11 — June 7, 2026 (4 weeks)

Contact hours: 4 hours

Resource: Francisco Pesante González, PhD. Statistical Project Manager, Statistics Institute of Puerto Rico

Prerequisites:

- Basic knowledge of statistics

- Basic R and RStudio domain

- Internet connection

- Computer access

-- 2 GB RAM (or more)

-- 1 GB memory

-- Administrator privileges to install R-4.5.1 (or newer).

-- Operating Systems: Windows 10/11 64-bit or MacOS 10.15+

Description

The graphic representation of statistical data facilitates their visualization, exploration, analysis and communication in a clear and concise manner, allowing a better understanding of the information. Ggplot2 a versatile R language package, which makes it possible to create elegant and personalized graphics. Based on the standardized system of Grammar of Graphics, ggplot2 simplifies the generation of high-impact visualizations through a more intuitive code. In addition, its incorporation of other libraries allows it to expand its functionalities to create specialized graphics and diagrams, adapted to specific visualization needs.

Specific Objectives

· Explore best practices in selecting graphics, based on data attributes

· Know the fundamentals of Grammar of Graphics

· Prepare the data and install ggplot2 ()

· Generate basic graphics

· Customize graphics

· Use Esquisse to simplify the assembly of graphs in ggplot

Electronic references

1. Severino Ribecca, The Data Visualisation Catalogue https://datavizcatalogue.com/

2. Hadley Wickham, ggplot 2 https://ggplot2.tidyverse.org/

3. Robert Kabacoff, Modern Data Visualization with R https://rkabacoff.github.io/datavis/

4. Victor Perrier, Get Started With Esquisse https://cran.r-project.org/web/packages/esquisse/vignettes/get-started.html

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