As you walk by the entrance of 18th Avenue Library, you may have noticed a new display behind the glass panes showcasing what data visualization is, and highlighting the data visualization services offered by the Research Commons on the third floor.
Data visualization is data (which can be numbers, words, pictures, and many other things!) put into a visual context. For many of us, this could mean a simple pie chart or line graph we see in a presentation, or an infographic on the last US presidential election showing which states went to each candidate, and the number of votes for each candidate. Maybe it is a table and scatterplot we follow in a research journal article to understand the significance of research findings, or an interactive visualization in our web browser integrating both statistics and photos to show the medal winners in the last Olympics by country, sport, and athlete.
No matter where we look, and in all fields and areas of study, data visualization is being utilized as a method to explore and explain data, provide unique ways to make interesting observations and tell compelling stories. At the Research Commons, we offer data visualization consultations for your own research projects as well as a computer lab equipped with the latest software (Adobe Illustrator, Photoshop, InDesign, Tableau, Excel) to meet whatever data visualization needs you may have.
Perhaps the most exciting news is the slew of hands-on data visualization workshops we are rolling out this spring. They will include individual workshops for Excel, Adobe Illustrator, and Tableau. Each workshop will occur twice this semester, so even if you are unable to attend one workshop, you will have another chance to attend the same workshop later in the semester. Expect to see the development of theory-based data visualization workshops, along with practical, tool-based workshops for the Fall 2018 and beyond!
Introduction to Illustrator for Data Visualization
February 22, 11:00 a.m. – 12:30 p.m.
Introduction to Tableau for Data Visualization
March 6, 12:00 – 1:30 p.m.
Introduction to Excel for Data Visualization
March 21, 5:00 – 6:30 p.m.
View the full line-up of workshops and events on the Research Commons Events Calendar