1
Dale K. Data visualization with Python & Javascript: scrape, clean, explore & transform your data. Sebastopol, CA: : O’Reilly Media, Inc 2016. https://www.vlebooks.com/vleweb/product/openreader?id=Goldsmiths&isbn=9781491920541
2
10 Minutes to Pandas. https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html
3
Pandas Documentation: Visualisation. https://pandas.pydata.org/pandas-docs/stable/user_guide/visualization.html
4
Matplotlib Python3 basics tutorial (pythonprogramming.net). https://pythonprogramming.net/matplotlib-python-3-basics-tutorial/
5
Few S. Now You See It: Simple Visualization Techniques for Quantative Analysis. Oakland: : Analytics Press 2009.
6
Few S. Show Me the Numbers: Designing Tables and Graphs to Enlighten. 2nd New edition. Oakland: : Analytics Press 2012.
7
Tufte ER. The Visual Display of Quantitative Information. 2nd edition. CT: : Graphics Press USA 2001.
8
FT Chart Doctor - Visual Vocabulary. https://raw.githubusercontent.com/ft-interactive/chart-doctor/master/visual-vocabulary/Visual-vocabulary.pdf
9
Blastland M, Dilnot AW. The tiger that isn’t: seeing through a world of numbers. Expanded ed. London: : Profile 2008. https://www.vlebooks.com/vleweb/product/openreader?id=Goldsmiths&isbn=9781847650795
10
Silver N. The signal and the noise: the art and science of prediction. London: : Penguin Books 2013.
11
Feminist data visualisation. https://civic.mit.edu/feminist-data-visualization
12
Wong DM, Wall Street Journal (Firm). 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 2013.
13
Herzog D. Data literacy: a user’s guide. Los Angeles: : SAGE 2016.
14
Wheelan CJ. Naked statistics: stripping the dread from the data. New York: : W.W. Norton & Company 2014.
15
Cairo A. The functional art: an introduction to information graphics and visualization. Berkeley, California: : New Riders 2013.
16
Iliinsky NPN, Steele J. Designing data visualizations. Cambridge: : O’Reilly 2011. https://www.vlebooks.com/vleweb/product/openreader?id=Goldsmiths&isbn=9781449317430
17
McKinney W. Python for data analysis. Sebastapol, Calif: : O’Reilly 2014. https://ebookcentral.proquest.com/lib/goldsmiths/detail.action?docID=5061179
18
Murray S. Interactive Data Visualization for the Web. Sebastopol: : O’Reilly Media, Inc, USA 2013. https://www.vlebooks.com/vleweb/product/openreader?id=Goldsmiths&isbn=9781449340254
19
Blaikie N. Analyzing Quantitative Data. 2003. https://gold.idm.oclc.org/login?url=http://methods.sagepub.com/book/analyzing-quantitative-data
20
McCandless D. Knowledge Is Beautiful. HarperCollins 2013.
21
McCandless D. Information is Beautiful: The Information Atlas. London: : HarperCollins Publishers 2010.