visualization-02

Lesson Overview

This repository contains the second lesson for the Data Visualization in R seminar. This lesson explores how the structure of data influences visualizations.

Objectives

At the end of this lesson, participants should be able to:

1. Recall key differences between base and ggplot2 plotting
2. Construct scatter plots with loess fit lines
3. Generate paneled plots using faceting

Lesson Resources

• The SETUP.md file in the references/ directory contains a list of packages required for this lesson
• The notebook/ directory contains an awesome markdown file for this lesson in both incomplete and complete versions
• The lesson slides provide an overview of how the structure of data influences visualizations
• The references/ directory also contains other notes on changes to the repository, key topics, terms, data sources, and software.

Extra Resources

• R for Data Science, Chapter 3 - Data Visualisation
• R for Data Science, Chapter 28 - Graphics for Communication
• RStudio's ggplot2 Cheat Sheet
• ggplot2 extensions gallery

Lesson Quick Start

Install Software

The packages we'll need for today can be installed using:

install.packages(c("tidyverse", "here", "knitr", "rmarkdown", "usethis"))

Access Lesson

You can download this lesson to your Desktop easily using usethis:

usethis::use_course("https://github.com/slu-dss/visualization-02/archive/master.zip")

By using usethis::use_course, all of the lesson materials will be downloaded to your computer, automatically extracted, and saved to your desktop. You can then open the .Rproj file to get started.

Contributor Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.

About the SLU DSS

Reproducible Research in R

About the SLU Data Science Seminar

The SLU Data Science Seminar (DSS) is a collaborative, interdisciplinary group at Saint Louis University focused on building researchers’ data science skills using open source software. We currently host seminars focused on the programming language R. The SLU DSS is co-organized by Christina Gacia, Ph.D., Kelly Lovejoy, Ph.D., and Christopher Prener, Ph.D.. You can keep up with us here on GitHub, on our website, and on Twitter.

About Saint Louis University

Founded in 1818, Saint Louis University is one of the nation’s oldest and most prestigious Catholic institutions. Rooted in Jesuit values and its pioneering history as the first university west of the Mississippi River, SLU offers nearly 13,000 students a rigorous, transformative education of the whole person. At the core of the University’s diverse community of scholars is SLU’s service-focused mission, which challenges and prepares students to make the world a better, more just place.