STAT3622 Data Visualization

I will teach STAT3622 “Data Visualization” in the coming 2016/17 Fall semester. This would be the first-ever course I teach in HKU.

Some main references ranging from R to Python to D3 are selected and listed as follows:

  1. R Graphics Cookbook
    By Winston Chang, O’Reilly 2013
    Book website: http://www.cookbook-r.com/
  1. ggplot2: Elegant Graphics for Data Analysis
    By Hadley Wickham, Springer (2009, 1ed; 2016, 2ed)
    Book website: http://ggplot2.org/book/; http://hadley.nz/
  1. Learning IPython for Interactive Computing and Data Visualization
    By Cyrille Rossant, Packt Publishing (2013, 1ed; 2015, 2ed)
    Book website: http://ipython-books.github.io/minibook/
  1. Interactive Data Visualization for the Web: An Introduction to Designing with D3
    By Scott Murray, O’Reilly 2013
    Online Read: http://chimera.labs.oreilly.com/books/1230000000345
  1. Visualize This: The FlowingData Guide to Design, Visualization, and Statistics
    By Nathan Yau, Wiley 2011
    Book website: http://book.flowingdata.com/http://as.wiley.com/WileyCDA/WileyTitle/productCd-0470944889.html
  1. Interactive Data Visualization: Foundations, Techniques, and Applications
    By Matthew O. Ward, Georges Grinstein, Daniel Keim, CRC Press (2015, 2ed)
    Book website: http://www.idvbook.com/teaching-aid/

Other thoughts: The sure thing is that we will use RStudio Server for weekly teaching. Some IT-like but useful skills like Github and AWS EC2 could be added to either lectures or tutorials. The LMS Moodle is preferred by the university, and we shall also design a course web page under statsoft/teaching.

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