Short courses

2024 ASA Traveling Short Course

"Data Visualization With R"

October 18 (Friday), 2024, 9:00 am - 4:30 pm, CST

Senior Data Scientist, Urban Institute

Adjunct Professor, McCourt School of Public Policy, Georgetown University

awilliams@urban.org

Registration

The registration will be open soon. 

Location

The short course will be held at UT Dallas.

A one-day parking permit is available upon request. Park in green parking spots.

Click here to access the interactive UT Dallas campus map.

utd_map_2.pdf

About the course

Data visualization plays a crucial role in the data science and statistics workflows. It is fundamental to everything from exploratory data analysis to communicating results. Data scientists and statisticians can better understand data and more effectively communicate their work by understanding how to better visualize their data. Too often, however, visualization is an afterthought. 

In this course, attendees will learn the core principles of data visualization and the perception of visual information; the layered grammar of graphics; and best practices for creating effective visualizations. To put these principles to work, attendees will learn practical skills for R programming that improve the quality of their work with many hands-on examples. The course will focus on the popular R package ggplot2 and the reproducible research framework R Markdown/Quarto. After this course, participants will be comfortable using R and R Markdown/Quarto to create effective data visualizations. 

The course will focus on the popular R package ggplot2 and the reproducible research framework R Markdown/Quarto. After this course, participants will be comfortable using R and R Markdown/Quarto to create effective data visualizations.

Agenda (Tentative)

About the instructor

Aaron R. Williams is a senior data scientist in the Urban Institute's Income and Benefits Policy Center. He works on retirement policy, microsimulation models, data privacy, and data imputation methods. He has worked on Urban’s Dynamic Simulation of Income (DYNASIM) microsimulation model, the Social Security Administration’s Modeling Income in the Near Term (MINT) microsimulation model, and the Tax Policy Center’s synthesis of individual tax records. 

Williams leads Urban’s R Users Group and assists researchers across Urban with projects that use R for data science, statistical analysis, data visualization, mapping, and automation. He has authored several R packages for data visualization and data synthesis. 

Williams is an adjunct professor in the McCourt School of Public Policy at Georgetown University. He holds a BS in economics from Virginia Commonwealth University, a BA in music from Virginia Commonwealth University, and an MS in mathematics and statistics from Georgetown University.

Sponsers