R Visualization

Instructors:

Lawrence Yin Tello

I am an MPH candidate in Epidemiology & Biostatistics at the School of Public Health and a D-Lab Data Science Fellow. Prior to graduate school, I worked on Psychology and Neuroscience studies. My research interest revolves around psychiatric epidemiology with a focus on suicide prevention. I love working with messy data, solving coding challenges, and data visualization.

Read more about Lawrence Yin Tello

When & Where

Date:

Wed, March 17, 2021 - 9:00 AM to 12:00 PM

Location:

Remote (Zoom information forthcoming)

Description

Type:

Workshop

This workshop will provide an introduction to graphics in R with ggplot2. Participants will learn how to construct, customize, and export a variety of plot types in order to visualize relationships in data. We will also explore the basic grammar of graphics, including the aesthetics and geometry layers, adding statistics, transforming scales, and coloring or panelling by groups. You will learn how to make histograms, boxplots, scatterplots, lineplots, and heatmaps as well as how to make compound figures. The bonus challenge walks you though how to make geographic maps using the Google Maps API.

Prerequisite: Prior experience with R is assumed such as R-Fundamentals Parts 1 through 4 or equivalent knowledge.

Link:

Workshop materials

Feedback Form

Keyword:

R, Visualization

Primary Tool:

Details

Training Learner Level:

Intermediate to Advanced Competency

Training Host:

D-Lab