Skip to Main Content
| University Libraries
See Updates and FAQs for the latest library services updates. Subject Librarians are available for online appointments, and Virtual Reference has extended hours.

Digital Humanities

A guide to the concepts and tools of the expanding field of digital humanities
Data visualization is using graphics and images to illustrate relationships within data that might not be otherwise obvious.

Data Visualization Tools

Gephi. Gephi is a software for network analysis and data visualization and enables users to explore, analyze, spatialize, filter, cluster, manipulate, and export all types of networks. Some of the metrics Gephi offers are between centrality, closeness, diameter, clustering coefficient, pagerank, community detection/modularity, random generators, and shortest path. This platform also enables users to visualize how networks changed over time by manipulating an embedded timeline. 

Palladio. Created by a team at Stanford University, Palladio is a user-friendly tool for conducting network and spatial analyses. To create a Palladio project, users can copy and paste spreadsheets; drag-and-drop to upload tabular data; or to link to a file in a public Dropbox folder. Data can be visualized in several ways: as a map, graph, table, or gallery. 

RAWGraphs. RAWGraphs is an open source data visualization software that seeks to make visual representation of complex data easy for all user levels. Their goal is to provide a missing link between spreadsheet applications, like Microsoft Excel or OpenRefine, and vector graphics editors, like Adobe Illustrator. Visualizations can be imported in and edited with vector graphics applications, or embedded into web pages. 

Tableau. Tableau is a platform for data visualization where users can connect to data, build visualizations, and create a story using sample data or their own data. Use this software to create trend analyses, regressions, and correlations. Users are able to create interactive maps and use custom geocodes and territories for personalized regions.