References
Books
- Dougherty, J. & Ilyankou, I. (2021) Hands-On Data Visualization: Interactive Storytelling from Spreadsheets to Code. O’Reilly Media.
- Few, S. (2013) Information Dashboard Design: Displaying Data for At-a-Glance Monitoring. 2nd edn. Burlingame, CA: Analytics Press.
- Healy, K. (2026) Data Visualization: A Practical Introduction. 2nd edn. Princeton: Princeton University Press.
- Monmonier, M. (2018) How to Lie with Maps. 3rd edn. Chicago: University of Chicago Press.
- Nussbaumer Knaflic, C. (2015) Storytelling with Data: A Data Visualization Guide for Business Professionals. Hoboken, NJ: Wiley.
- Slocum, T.A., McMaster, R.B., Kessler, F.C. & Howard, H.H. (2009) Thematic Cartography and Geovisualization. 3rd edn. Upper Saddle River, NJ: Pearson.
- Smiciklas, M. (2012) The Power of Infographics: Using Pictures to Communicate and Connect with Your Audiences. Indianapolis, IN: Que.
- Wexler, S., Shaffer, J. & Cotgreave, A. (2017) The Big Book of Dashboards: Visualizing Your Data Using Real-World Business Scenarios. Hoboken, NJ: Wiley.
- Wilke, C.O. (2019) Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures. O’Reilly Media.
Research
- Bach, B., Freeman, E., Abdul-Rahman, A., Turkay, C., Khan, S., Fan, Y. & Chen, M. (2023) ‘Dashboard design patterns’, IEEE Transactions on Visualization and Computer Graphics, 29(1), pp. 342–352. doi:10.1109/TVCG.2022.3209448
- Barrio, P.J., Goldstein, D.G. & Hofman, J.M. (2016) ‘Improving comprehension of numbers in the news’, Proceedings of CHI ‘16, pp. 1–12. doi:10.1145/2858036.2858510
- Brewer, C.A. (1994) ‘Color use guidelines for mapping and visualization’, in MacEachren, A.M. & Taylor, D.R.F. (eds) Visualization in Modern Cartography. Oxford: Pergamon.
- Hazlett, R.L., Larson, K., Shaikh, A.D. & Chaparro, B.S. (2013) ‘Two studies on how a typeface congruent with content can enhance onscreen communication’, Information Design Journal, 20(3), pp. 207–219.
- Machado, G.M., Oliveira, M.M. & Fernandes, L.A.F. (2009) ‘A physiologically-based model for simulation of color vision deficiency’, IEEE Transactions on Visualization and Computer Graphics, 15(6), pp. 1291–1298.
- Reber, R. & Schwarz, N. (1999) ‘Effects of perceptual fluency on judgments of truth’, Consciousness and Cognition, 8, pp. 338–342.
- Rensink, R.A. & Baldridge, G. (2010) ‘The perception of correlation in scatterplots’, Computer Graphics Forum, 29(3), pp. 1203–1210.
- Sarikaya, A., Correll, M., Bartram, L., Tory, M. & Fisher, D. (2019) ‘What do we talk about when we talk about dashboards?’, IEEE Transactions on Visualization and Computer Graphics, 25(1), pp. 682–692. doi:10.1109/TVCG.2018.2864903
- Shneiderman, B. (1996) ‘The eyes have it: a task by data type taxonomy for information visualizations’, Proceedings of the IEEE Symposium on Visual Languages, pp. 336–343. doi:10.1109/VL.1996.545307
- Song, H. & Schwarz, N. (2008) ‘Fluency and the detection of misleading questions: Low processing fluency attenuates the Moses illusion’, Social Cognition, 26(6), pp. 791–799.
- Song, H. & Schwarz, N. (2009) ‘If it’s difficult to pronounce, it must be risky’, Psychological Science, 20(2), pp. 135–138.
- Szafir, D.A. (2018) ‘Modeling color difference for visualization design’, IEEE Transactions on Visualization and Computer Graphics, 24(1), pp. 392–401.
- Szafir, D.A. & Szafir, D. (2016) Cognitive Load in Visualization: Myths & Misconceptions. University of Colorado Boulder. PDF
- Tseng, C., Wang, A.Z., Quadri, G.J. & Szafir, D.A. (2024) ‘Revisiting categorical color perception in scatterplots: sequential, diverging, and categorical palettes’, EuroVis Short Papers. arXiv:2404.03787
Colour palettes
- IBM (n.d.) IBM Design Language: Color. ibm.com/design/language/color
- Okabe, M. & Ito, K. (2008) Color Universal Design (CUD): How to make figures and presentations that are friendly to colorblind people. jfly.uni-koeln.de/color
- Tol, P. (2018) Colour Schemes. SRON. PDF
- Brewer, C.A. & ColorBrewer team (n.d.) ColorBrewer 2.0. colorbrewer2.org
Guides and articles
- Atlassian (n.d.) How to choose the right data visualization. atlassian.com
- Axis Maps (n.d.) Cartography Guide: Visual Variables. axismaps.com
- Data Revelations (2017) In Praise of BANs. datarevelations.com
- data.europa.eu (2026) Data communication and Serif vs sans serif. data.europa.eu data visualisation guide
- Datawrapper (2025) A friendly guide to choosing a chart type. datawrapper.de
- Datawrapper (n.d.) Fonts for data visualization. datawrapper.de
- Esri (n.d.) Cartography blog. esri.com
- Evergreen, S. (n.d.) The problem with “By the Numbers” infographics. stephanieevergreen.com
- Highcharts (n.d.) Chartchooser. highcharts.com
- NZZ (n.d.) Storytelling Styleguide. nzzdev.github.io
- Penn State (n.d.) GEOG 486: Cartography and Visualization. psu.edu
- PolicyViz (2023) The power of big aggregate numbers. policyviz.com
- Sibinga, E. & Waldron, E. (2021) Cognitive load as a guide: 12 spectrums to improve your data visualizations. Nightingale. nightingaledvs.com
- The Data School (2023) Battle of the BANs. thedataschool.com
- The Data Visualisation Catalogue (n.d.) datavizcatalogue.com
- UCGIS (n.d.) Cartographic design: visual variables. GIS&T Body of Knowledge. ucgis.org
- USGS (n.d.) National Map guidelines. usgs.gov
- Yanofsky, D. (2015) It’s OK not to start your y-axis at zero. Quartz.