Social Science Data and Model Visualization in R (Houston, TX)

Instructor(s):

  • Boris Shor, University of Houston

This course will introduce social science students to modern methods of exploring and communicating data to a variety of audiences. The primary tools will be the R statistical programming language, RStudio as a development environment, and the tidyverse family of R packages (especially ggplot2) for visualization. The object will be to enable students to feel confident in descriptively exploring their data, communicating that to scholarly and outside audiences, and communicating inferential results for presentation and paper writing purposes. Throughout, good workflow practices for scientific writing will be emphasized.

Prerequisites: A basic knowledge of R is required, which can be provided by the 3-day R course taught earlier in the week.

Software: R and RStudio.

Financial support of up to $1,000 per workshop is available for eligible students. In order to determine if you qualify for funding, send a personal statement of purpose, letter of recommendation from an advisor/colleague, and a copy of your unofficial transcript to Pablo Pinto (ppinto2@uh.edu), Director of the University of Houston Center for Public Policy, and Scott Mason (smason@uh.edu), Program Manager 2 at the University of Houston Hobby School of Public Affairs. The deadline for submitting this request is Friday, April 19.

Fee: Members = $1400; Non-members = $2600

Tags: visualization, R, social science data

Course Sections

Section 1

Location: University of Houston -- Houston, Texas

Date(s): May 16 - May 17

Time: 9:00 AM - 5:00 PM

Instructor(s):

  • Boris Shor, University of Houston

Syllabus: