Dartmouth Data Vizualization Workshop (June 6, 9, and 10, 2014)

Goal: Developing skills in graphical representation of quantitative data.

Workshop Leaders

Kosuke Imai, Princeton University

Professor, Department of Politics
Director, Program in Statistics and Machine Learning
Executive Committee, Program for Quantitative and Analytical Political Science

Jonathan Olmsted, Princeton University

Senior Research and Computing Specialist, Department of Politics
University of Rochester PhD (expected 2014)

Imai and Olmsted co-teach an undergraduate course at Princeton on data visualization (DV). With support from a new Dartmouth initiative to strengthen the quantitative social sciences, they will visit campus, on June 6 (Imai) and on June 9-10 (Olmsted). They will deliver four workshop sessions on DV techniques. The sessions will be paired with lab exercises. During their visits, Imai and Olmsted will also present original research in seminars that all workshop participants will be invited to attend.


Friday, June 6

  • 9-11am DV Session 1: Visualizing Geographical Data (Imai)
  • 12:00-1:30pm Research presentation (Imai) and lunch. “A New Method for Simulating and Evaluating Redistricting Maps”

Monday, June 9

  • 9-11am DV Session 2: Visualizing the Results of Statistical Analysis (Olmsted)
  • 12:00-1:30pm Research presentation (Olmsted) and lunch. “Fast and Approximate Estimation of Ideal Points with Massive Data Sets”
  • 2-4pm DV Lab session
  • 4:00-5:30pm DV Session 3: Visualizing Text Data (Olmsted)
  • 7pm Dinner for workshop participants

Tuesday, June 10

  • 9-11am DV Session 4: Visualizing Network Data (Olmsted)
  • 11am-1pm Lab session and lunch for participants

R Statistical Software

The workshop will include Lab sessions and DV exercises using the R software package (http://www.r-project.org/). Participants who do not have prior experience with R are encouraged to devote some effort before the workshop so as to gain basic competence in R. For Stata users, tutorial materials are available here:


The workshop is open to Dartmouth faculty at no charge, thanks to a generous gift aimed at supporting the quantitative social sciences at Dartmouth. Registration indicates a commitment to attend and participate. To reserve a slot, email Chris Gex by Friday, April 4.