Data Visualization Summer Institute

The ESU Data Visualization Summer Institute (June 24 – 27, 2019) is a four-day, intensive learning experience.

Organized by Department of Mathematics, East Stroudsburg University of Pennsylvania, the institute is designed to introduce students interested in data science the general techniques for data visualization using the programming language R. It is open to all university/college/high school faculty and students.

Data science is the study of large sets of data, using computers to look for patterns, trends and correlations. One of the best ways to explore and try to understand a large data set is with visualization. Effective visualization makes complex data more accessible since placing numbers into a visual place can let your brain find the underlying patterns. It can show us things that we did not expect, or raise new questions about the data. It might also hint that we are asking the wrong question, or we need to collect different data.

Participants will learn from the basic R language syntax, data import, data tidying, to basic plotting and advanced data visualization skills. The Summer Institute will be taught by three instructors and one teaching assistant from Department of Mathematics. It consists of formal lectures and computing labs with hands-on case studies. The instructors and the teaching assistant will help the participants solve any R programming problems raised in the computer lab sessions. The following is an animated map produced by R programming.

Registration is scheduled to open on March 1st, 2019 and free for all participants. Free lunch will be provided for the first 40 high school students. The Summer Institute is funded by a Major Grant (Grant #: 000250) of the Faculty Development and Research program at East Stroudsburg University.

Schedule Overview

• Day 1 (June 24): Introduction to R and RStudio; Basic plotting in R; Advanced R programming, and data manipulations.
• Day 2 (June 25): R Plotting with ggplot2 and Data Manipulation Using Dplyr.
• Day 3 (June 26): 3D Visualization in R, Creating Animated Graphics and Mapping locations.
• Day 4 (June 27): Choropleth map, Heat map, and introduction to R Markdown.

View the full schedule.