Data Visualization Librarian
Glenn Bunton
Contact:
University of South Carolina Libraries
1322 Greene Street
Thomas Cooper Library - L2.341
Columbia, South Carolina 29208
Make an Appointment
1322 Greene Street
Thomas Cooper Library - L2.341
Columbia, South Carolina 29208
Make an Appointment
803-777-2903
Website
Stay Aware
Stay aware of services and resources provided by the Digital Research Services (DRS) unit of the University Libraries
Learning Resources
General Data Visualization
- The functional art: an introduction to information graphics and visualizationCairo, Alberto, 1974- author.
Berkeley, California : New Riders; 2013
T 385.C33875 2013 - Readings in Information Visualization: Using Vision to Think [Request via Interlibrary Loan]Stuart K. Card (Editor), Jock Mackinlay (Editor), Ben Shneiderman Ph.D. SUNY at Stony Brook (Editor)
Morgan Kaufmann; 1st edition (February 8, 1999) - Visualizing DataCleveland, William S., 1943-
Murray Hill, N.J. : At & T Bell Laboratories ; Summit, N.J. :
Published by Hobart Press; ©1993
QA276.3 .C57 1993 - Effective data visualization : the right chart for the right dataEvergreen, Stephanie D. H. author.
Los Angeles : SAGE; 2017
P 93.5 E937 2017 - Better data visualizations: a guide for scholars, researchers,and wonksSchwabish, Jonathan A. (2021). Better data visualizations : a guide for scholars, researchers, and wonks. Columbia University Press.
- Show me the numbers: designing tables and graphs to enlightenFew, Stephen, author.
El Dorado Hills, California : Analytics Press; 2012
HF 5718.22 .F49 2012 - The Visual Display of Quantitative InformationTufte, Edward R., 1942-
Cheshire, Conn. : Graphics Press; ©2001
QA 276.3 .T83 2001 - Information visualization perception for designWare, Colin.
Amsterdam ; Boston : Elsevier/MK; c2004
Data Visualization Tools
- Power BI Data Analysis and VisualizationSuren Machiraju, Suraj Gaurav
Publication Information: Boston : De|G Press. 2018
[eBook] - Learning Tableau 2020Joshua N. Milligan
Fourth edition. Birmingham : Packt Publishing. 2020
[eBook] - Python: Data Analytics and VisualizationVo. T. H, Phuong
Birmingham, UK : Packt Publishing. 2017
[eBook] - Applied Data Visualization with R and Ggplot2Moulik, Tania
Packet Publishing, Limited, 2018
[eBook]
Application Areas
- Analyzing Social Media Networks with NodeXLHansen, Derek, et al. Analyzing Social Media Networks with NodeXL : Insights from a Connected World, Elsevier Science & Technology, 2010.
[eBook] - Cultural AnalyticsManovich. Lev. (2020). Cultural analytics. The MIT Press.
[eBook] - Bibliometric Studies and Worldwide Research Trends on Global HealthFrancisco Manzano Agugliaro and
Esther Salmerón-Manzano, Eds.
Published: October 2020 Pages: 326 © 2020 by the authors; CC BY license
[eBook]
- The golden age of statistical graphicsFriendly, M., & Wainer, H. (2021). The golden age of statistical graphics. In A History of Data Visualization and Graphic Communication (pp. 158–184). Harvard University Press.
https://doi.org/10.2307/j.ctv31xf66n.10 - Dynamic mixed data analysis and visualizationGrané, A., Manzi, G., & Salini, S. (2022). Dynamic mixed data analysis and visualization. Entropy, 24(10), 1399-N.PAG.
https://doi.org/10.3390/e24101399 - Interactive dynamics for visual analysisHeer, J., & Shneiderman, B. (2012). Interactive dynamics for visual analysis. Communications of the ACM, 55(4), 45-54.
https://doi.org/10.1145/2133416.2146416 - EMDialog: Bringing information visualization into the museumHinrichs, U., Schmidt, H., & Carpendale, S. (2008). EMDialog: Bringing information visualization into the museum. IEEE Transactions on Visualization and Computer Graphics, 14(6), 1181–1188.
https://doi.org/10.1109/TVCG.2008.127 - The state of the art in sentiment visualizationKucher, K., Paradis, C., & Kerren, A. (2018). The state of the art in sentiment visualization. Computer Graphics Forum, 37(1), 71–96.
https://doi.org/10.1111/cgf.13217 - Reading for enactment: A performative approach to digital scholarship and data visualizationParry, K. (2019). Reading for enactment: A performative approach to digital scholarship and data visualization. In M. K. Gold & L. F. Klein (Eds.), Debates in the Digital Humanities 2019 (pp. 141–160). University of Minnesota Press. https://doi.org/10.5749/j.ctvg251hk.16
- Digital twins of smart cities: Spatial data visualization tools, monitoring and sensing technologies, and virtual simulation modeling. GeopoliticsRice, L. (2022). Digital twins of smart cities: Spatial data visualization tools, monitoring and sensing technologies, and virtual simulation modeling. Geopolitics, History, and International Relations, 14(1), 26–42.
https://www.jstor.org/stable/48679651 - Big folklore: A special issue on computational folkloristicsTangherlini, T. R. (2016). Big folklore: A special issue on computational folkloristics. The Journal of American Folklore, 129(511), 5–13.
https://doi.org/10.5406/jamerfolk.129.511.0005 - Data changes everything: Challenges and opportunities in data visualization design handoffWalny, J., Frisson, C., West, M., Kosminsky, D., Knudsen, S., Carpendale, S., & Willett, W. (2020). Data changes everything: Challenges and opportunities in data visualization design handoff. IEEE Transactions on Visualization and Computer Graphics, 26(1), 12–22.
https://doi.org/10.1109/TVCG.2019.2934538 - SCIENCE PIPES: A world of data at your fingertips exploring biodiversity with online visualization and analysis toolsWilson, C. R., Trautmann, N. M., MaKinster, J. G., & Barker, B. J. (2010). SCIENCE PIPES: A world of data at your fingertips exploring biodiversity with online visualization and analysis tools. The Science Teacher, 77(7), 34–39.
http://www.jstor.org/stable/24146342
Most product vendors offer instructional content. Narrative and video tutorials (of varying quality) can be found online. The following are a few suggestions.
- Tableau Tutorial Series - Alex the AnalystA set of five fairly short sessions
- Power BI Tutorials for Beginners - Alex the AnalystA series of fairly short, focused sessions
- Datawrapper introduction - YouTubeDatawrapper is a free, online, easy-to-use data visualization tool that can creates nice charts and maps for embedding in websites. Many different chart types. It was originally created for journalists.
- Google Data Studio/Looker Studio Crash CourseGoogle Data Studio (now called Looker Studio) is a powerful data visualization tool that allows you to connect to various data sources, create customized reports and dashboards, and share them with others. This 15 minute tutorial introduces you to the basics of using this free, online data visualization tool.
These blogs are galleries may be useful for sharing knowledge and sharing inspiring data visualization examples.
These sites describe and display mistakes and failed data visualizations.
Acknowledgment
A special thanks to Patrick Wolfe who provided much of this content as well as the page design. Patrick is currently an MLIS student at the University of South Carolina, completing his degree this summer (2023). His interests include research data management, data visualization, and geographic information systems, particularly working with STEM fields and open science initiatives.
During his internship working with the Digital Research Services unit of the University of South Carolina Libraries, Patrick developed and created the following guide to data visualization.