Data Science Masterclass – Information Visualisation
Date: 21 November 2016
Time: 1:30pm – 4:30pm
Information Visualisation – Min Chen (University of Oxford)
This session will cover the following:
- Myths and Promises of Data Intelligence
1.1 Five myths:
a. The problem of “Big Data” is due to too much data.
b. The “Big Data” problem is a recent phenomenon.
c. Machine intelligence is the only hope.
d. Visualization provides insight.
e. Data processing inequity is ubiquitous.
1.2 A brief introduction to Visual Analytics
1.3 Cost-benefit analysis of data intelligence
- Multivariate Data Visualization
2.1 A whiz around the field of visualization
2.2 Parallel coordinates plots
2.3 Glyph-based visualization
2.4 Spatio-temporal data visualization
2.5 Four levels of visualization
- Model-developmental visualization
3.2 Case Study 1: Text alignment
3.3 Case Study 2: Facial expression classification
3.4 Information-theoretic analysis of case study 2
3.5 Discussions: Visual analytics in model development.