BDC4CM 2017 – Big Data Visualization

This is a very minimalist web page for the “Big Data Visualization” lecture, part of the 2017 Big Data Coursework for Computational Medicine summer school fellowship, a joint initiative by Weill Cornell Medicine, Johns Hopkins Medicine, and the University of Minnesota. This lecture was given on July 12, 2017 by David S. Pieczkiewicz, PhD.

Lecture materials
Assigned readings (all are open access)
  1. Chapter 3 (“Data visualization”) from Wickham H, Grolemund G. (2017) R for Data Science. O’Reilly.
  2. West VL, Borland D, Hammond WE. (2015) “Innovative information visualization of electronic health record data: a systematic review.” Journal of the American Medical Informatics Association 22(2): 330-339. PMID: 25336597.
  3. Rougier NP, Droettboom M, Bourne PE. (2014) “Ten simple rules for better figures.” PLoS Computational Biology 10(9): e1003833. PMID: 25210732.
Primary web sites of software featured or mentioned
Selected web sites and items mentioned in the lecture (in slide presentation order)
Other references mentioned in the lecture (open access materials marked with a *)
  1. * Wickham H. Grolemund G. (2017) R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly.
  2. * Cleveland WS, McGill R. (1987) “Graphical perception: the visual decoding of quantitative information on graphical displays of data.” Journal of the Royal Statistical Society Series A – Statistics in Society 150: 192-229.
  3. Kirk A. (2012) Data Visualization: A Successful Design Process. Packt.
  4. Tufte ER. (2001) The Visual Display of Quantitative Information, Second Edition. Graphics Press.
  5. Kirk A. (2016) Data Visualisation: A Handbook for Data Driven Design. Sage Publications.
  6. * Jenny B, Kelso NV. (2007) “Color design for the color vision impaired.” Cartographic Perspectives 58: 61-67.
  7. Ware C. (2012) Information Visualization: Perception for Design, Third Edition. Morgan Kaufmann.
  8. Chang W. (2012) R Graphics Cookbook. O’Reilly.
  9. Wickham H. (2016) ggplot2: Elegant Graphics for Data Analysis, Second Edition. Springer.
  10. * Holten D, van Wijk JJ. (2009) “Force-directed edge bundling for graph visualization.” Eurographics 28(3).
  11. Heer J, Shniderman B. (2012) “Interactive dynamics for visual analysis.” Communications of the ACM 55(4): 45-54.