Data Visualization Lab Course

University of Trento – M.Sc. Data Science a.y. 2019/20

Giuseppe Jurman

E-mail: [email protected]
Ph: +39 0461 314 523

Lecture Notes

    • Introduction [PDF] [MP4]
      1. Cash, D. and Clark, W.C. and Alcock, F. and Dickson, N.M. and Eckley, N. and Jaeger, J.  Salience, Credibility, Legitimacy and Boundaries: Linking Research, Assessment and Decision Making. KSG Working Papers Series, 2003 [pdf]
      2. Maciejewski, R. and Montgomery, D.C. Visualization for Data Science: Adding Credibility, Legitimacy, and Saliency, Big Data, 4(2):73-74, 2016 [pdf]
      3. Anscombe, F. J. Graphs in Statistical Analysis, The American Statistician,  27 (1): 17–21, 1973 [pdf]
      4. Matejka, J. and Fitzmaurice, G. Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing, Proc. ACM SIGCHI, 2017 [pdf]
    • Data Visualization
    • Dimensionality Reduction

Lab Files

Quick Introduction to R (R notebook)


No lectures on May 11, 14, 18