10 Minutes to Pandas (no date). Available at: https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html.
Blaikie, N. (2003) Analyzing Quantitative Data. Available at: https://gold.idm.oclc.org/login?url=http://methods.sagepub.com/book/analyzing-quantitative-data.
Blastland, M. and Dilnot, A.W. (2008) The tiger that isn’t: seeing through a world of numbers. Expanded ed. London: Profile. Available at: https://www.vlebooks.com/vleweb/product/openreader?id=Goldsmiths&isbn=9781847650795.
Cairo, A. (2013) The functional art: an introduction to information graphics and visualization. Berkeley, California: New Riders.
Dale, K. (2016) Data visualization with Python & Javascript: scrape, clean, explore & transform your data. Sebastopol, CA: O’Reilly Media, Inc. Available at: https://www.vlebooks.com/vleweb/product/openreader?id=Goldsmiths&isbn=9781491920541.
Feminist data visualisation (no date). Available at: https://civic.mit.edu/feminist-data-visualization.
Few, S. (2009) Now You See It: Simple Visualization Techniques for Quantative Analysis. Oakland: Analytics Press.
Few, S. (2012) Show Me the Numbers: Designing Tables and Graphs to Enlighten. 2nd New edition. Oakland: Analytics Press.
FT Chart Doctor - Visual Vocabulary (no date). Available at: https://raw.githubusercontent.com/ft-interactive/chart-doctor/master/visual-vocabulary/Visual-vocabulary.pdf.
Herzog, D. (2016) Data literacy: a user’s guide. Los Angeles: SAGE.
Iliinsky, N.P.N. and Steele, J. (2011) Designing data visualizations. Cambridge: O’Reilly. Available at: https://www.vlebooks.com/vleweb/product/openreader?id=Goldsmiths&isbn=9781449317430.
Matplotlib Python3 basics tutorial (pythonprogramming.net) (no date). Available at: https://pythonprogramming.net/matplotlib-python-3-basics-tutorial/.
McCandless, D. (2010) Information is Beautiful: The Information Atlas. London: HarperCollins Publishers.
McCandless, D. (2013) Knowledge Is Beautiful. HarperCollins.
McKinney, W. (2014) Python for data analysis. Sebastapol, Calif: O’Reilly. Available at: https://ebookcentral.proquest.com/lib/goldsmiths/detail.action?docID=5061179.
Murray, S. (2013) Interactive Data Visualization for the Web. Sebastopol: O’Reilly Media, Inc, USA. Available at: https://www.vlebooks.com/vleweb/product/openreader?id=Goldsmiths&isbn=9781449340254.
Pandas Documentation: Visualisation (no date). Available at: https://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html.
Silver, N. (2013) The signal and the noise: the art and science of prediction. London: Penguin Books.
Tufte, E.R. (2001) The Visual Display of Quantitative Information. 2nd edition. CT: Graphics Press USA.
Wheelan, C.J. (2014) Naked statistics: stripping the dread from the data. New York: W.W. Norton & Company.
Wong, D.M. and Wall Street Journal (Firm) (2013) The Wall Street journal guide to information graphics: the dos and don’ts of presenting data, facts, and figures. New York: W.W. Norton & Company.
