Data visualization—the study of the visual representation of data—plays a crucial role in the work of researchers and analysts. Organizations tasked with producing, releasing, and analyzing large amounts of data can more effectively analyze and communicate their work by understanding how to better visualize their data. Often, however, visualizing research results is an after-thought, secondary to the analysis, which ultimately limits the effective relay of information.

This workshop is designed to help researchers create better, more effective data visualizations. The primary goal is to expand the participant’s graphic literacy and put more graph types in their toolbox. Doing so will hopefully lead to greater understanding and in turn help people turn research into practice.

Core Principles of Data Visualization is a half-day workshop that provides a well-rounded introduction to the field of data visualization. The workshop includes an overview of the field of data visualization and introductions to different graphic types and purposes. This half-day workshop includes hands-on exercises. Participants work individually and in small groups and discuss concepts within the larger class.

Workshop Agenda

• 9:00-9:15 AM - Introductions
• 9:15-10:15 AM - Data Representation: Types of Visualizations: - An overview of different graphic types and how they relate to one another.
• 10:15-10:45 AM - Exercise: Identify visualization types: Explore some basic data sets and propose ways to visualize those data.
• 11:00 AM -12:30 PM - Introduction to Data Visualization Best Practices: An introduction to best practices and strategies for creating visualizations that effectively communicate information & data.
• 12:30-1:00 PM -  Exercise: Graphics critique: Critique an array of data visualizations using the lessons in lecture.

Note: This is a computer-free workshop.  Attendees should feel free to bring their computers, but they will not be necessary for the lessons.  Attendees will receive handouts and other materials.