Course info
Basic concepts in data visualizations. Good and bad practices. Basic
Principles for good graphs. Visual perception. Vision and psychology.
Data to ink ratio. Color selection. Different color pallettes . Grammar
of graphics: the different layers. A gallery of graphics: different
plots for different data and purposes. Data for flows. Subsetting and
trellis plots. Different types of maps. Dashboards and infographics.
Story telling and communication of graohics. Interactive graphics. Basic
principles like animation, hoovering, filtering and other. Applications
like shiny for interactive graphs.
- Teacher: Dimitris Karlis
- Teacher: Andreas Zaras