Visualization with R

UBC Library Research Commons

http://ubc-library-rc.github.io/data-analysis-r//visualization/introduction.html

Pre workshop setup

1. Install R
2. Install R Studio
3. Download R Markdown file

The Vancouver Campus is located on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm (Musqueam) people.
Map: https://native-land.ca/

Learning objectives

1. Understand what visualizations R can produce
2. Create basic graphs with the ggplot2 package
3. Learn to add color themes and interactivity

Outline

Participating online

R Markdown (.Rmd) file

A text file that combines R commands, R output, and descriptive text

Good for documenting, experimenting, and sharing your work

Download and open workshop .Rmd file in RStudio

R packages used in this workshop

ggplot2

A data visualization package https://ggplot2.tidyverse.org/

Implements the grammar of graphics, a system for designing and building graphs

countries %>%
  ggplot(aes(x=continent))+
    geom_bar()
					

countries %>%
  ggplot(aes(x=continent, fill=continent))+
    geom_bar()
					

countries %>%
  ggplot(aes(x=continent, fill=continent))+
    geom_bar()+
	labs(title="Counts of observations by continents", 
	x="Continents", y="Number of observations")
					

A ggplot geom is the geometrical object used to represent data (i.e. the chart type)

• geom_bar()
• geom_histogram()
• geom_density()
• geom_boxplot()
• geom_violin()
• geom_point()
• geom_line()

Other features can be controlled with additional ggplot2 components

• labels
• scale
• colours
• best-fit lines
• summary stats
• axis range
• ...