Digital Research

Data visualization involves presenting data through graphic means like charts and graphs. These visual representations of data allow readers to quickly see and comprehend trends and relationships in the data. When creating data visualizations, it's essential to be transparent about where the data comes from and who collected it, and to avoid misleading visualization choices.

• Book chapter: Ethics in Data Visualization (A Reader on Data Visualization, 2019) - This ebook was a collaborative writing project as part of the 2019 course MSIS 2629 “Data Visualization” at Santa Clara University. 
• Podcast: PolicyViz Data Ethics episode (20m)
• LinkedIn Learning Tutorial: Data Visualization Best Practices (1h 38m) - Access requires logging in with an AU email address.
• Webpage: From Data to Viz Caveats Collection - Presents a list of caveats for responsibly designing and representing your data visually.
• Article: Demystifying Networks (Journal of Digital Humanities, Vol 1(1), 2011)

R is an open-source software program for statistical analysis that has the ability to create beautiful graphics. The webinar below demonstrates how to use R for data visualization.

• CTRL Webinar Recording: R for Data Visualization (1h 11m)

Tableau is a visual analytics software designed for creating engaging visualizations. It has an easy-to-learn drag-and-drop interface. Licenses are not yet available through AU but pricing for individuals is reasonable. The tutorial below is an in-depth guide to what the tool can do. (Alternatively, Tableau Public is a free version of the tool that is open and publicly available and allows for the creation of some interactive data visualizations from a spreadsheet or file.)

• LinkedIn Learning Tutorial: Tableau Essential Training (4h 19m) - Access requires logging in with an AU email address

Gephi is a free graph visualization tool that is most often used for the analysis and visualization of networks. The tutorial below introduces this tool.

• Guide: Gephi Quick-Start Guide