Resources

Webinar Tools and Applications

Participants are encouraged to check with their university to find offerings available at their institutions for availabity of software.

Data pre-processing

Pivot Tables

Using Excel

Pivot Tables Tutorial
Microsoft Excel 2010 Step-by-step

How to install and use Microsoft Excel:
Linux | Windows | Mac (Microsoft Office 2016)

Create Pivot Tables in R

Information Visualization

Tableau [ 14-day trial ]

Scientific Visualization

Paraview [ Download ]

Supplemental webinar materials

Introduction to Data Visualization [Blue Waters Webinar: 1 hr]
Summary: This informative seminar provides an overview of data visualization by exploring the underlying principles of visualization and set the stage for other introductory data visualization seminars. The goal of the seminar is to equip participants with a summary of visualization capabilities that will ultimately help them to identify their data visualization needs and the tools available to visualize their data. Topics will include an overview of the visualization process, visualization applications, a review of different types of visualization tools for different types of data and a review of the different areas of data visualization (info vis, sci vis, bio vis, geo vis, cyber security vis).

Introduction to ParaView [Blue Waters Webinar: 1 hr]
Summary: This seminar provides an introduction to scientific visualization using ParaView. An overview of the visualization process is presented by exploring the scientific visualization pipeline followed by hands on experience with ParaView. ParaView is an open-source, multi-platform, parallel data analysis and visualization application built upon the Visualization Toolkit (VTK) Library. Participants will work with a small dataset (provided) to become familiar with ParaView functions and capabilities.

Data files:
headsq.vti
Rectgrd2.vtk

Additional Readings

Educause Learning Initiative. (2010). 7 things you should know about data visualization II.

Heer, Jeffrey, Michael Bostock, and Vadim Ogievetsky. "A Tour through the Visualization Zoo." Communications of the ACM 53.6 (2010): 59-67. Web.

Kurkowski, P. (2007). 7 things you should know about data visualization. EDUCAUSE Learning Initiative.

Laramee, R. S. (2011). How to read a visualization research paper: Extracting the essentials. IEEE computer graphics and applications, 31(3), 78-82.

Quispel, A., & Maes, A. (2014). Would you prefer pie or cupcakes? Preferences for data visualization designs of professionals and laypeople in graphic design. Journal of Visual Languages & Computing, 25 (2), 107-116.