Bear GRADS Toolkit

Benoit, G. (2019). Introduction to information visualization: Transforming data into meaningful information. Lanham, MD: Rowman & Littlefield.

Bongshin, L., Dackselt, R., Isenberg, P., & Kyoung Choe, E. (2022). Mobile data visualization. Boca Raton, FL: CRC Press.

Brondbjerg, M. (2019). The art of data visualization. London, UK: SAGE.

Camões, J. (2016). Data at work: Best practices for creating effective charts and information graphics in Microsoft Excel. San Francisco, CA: New Riders.

Chen, M., Hauser, H., Rheingans, P., & Scheuermann, G. (Eds.). (2020). Foundations of data visualization. Cham, SZ: Springer.

Evergreen, S. D. H. (2017). Effective data visualization: The right chart for the right data. Los Angeles, CA: SAGE.

Friendly, M., & Wainer, H. (2021). A history of data visualization and graphic communication. Cambridge, MA: Harvard University Press.

Kusleika, D. (2021). Data visualization with Excel dashboards and reports. Indianapolis, IN: Wiley.

Mazza, R. (2009). Introduction to information visualization. London, UK: Springer.

Rahlf, T. (2019). Data visualization with R: 111 examples (2nd ed.). Cham, SZ: Springer.

Spence, R. (2014). Information visualization: An introduction (3rd ed.). Cham, SZ: Springer.

Ware, C. (2020). Information visualization: Perception for design (4th ed.). Cambridge, MA: Morgan Kaufmann.

6 Tips for Creating Effective Data Visualizations – from CSG. 

Get Started with Data Visualization – from George Mason University. 

Data Visualization in 2022: The Ultimate Guide – from Visme. 

Tableau for Students – a visual analytics platform. https://www.tableau.com/academic/students

Microsoft Power BI – an interactive data visualization software. 

Google Looker Studio (formerly Google Data Studio) – an online tool for converting data into customizable informative reports. 

Infogram – an intuitive visualization tool that empowers people to create beautiful content.