Data visualisation and explorative data analysis

data visualization basics
historical overview of the use of graphs in statistics
the use of graphical elements and colors in graphs
principles of good data visualization
simple graphs and infographics
visualizing different types of data (time series, geographical/maps, text, networks …)
visualizing multivariate data
identifying outliers
dimension reduction
explorative data analysis
dynamic and interactive graphs (with emphasis on graphs for web pages).

Required readings:
Robbins, N.B., 2005. Creating more effective graphs, Wiley-Interscience.
Peng, R.D., 2015. Exploratory Data Analysis with R, Leanpub. Available at: https://leanpub.com/exdata [Dostopano julij 6, 2015].

Additional reading:
Žiberna, A. 2016. Osnovna statistična analiza v R-ju, Ljubljana: FDV (v pripravi, izide konec 2016).
Wickham, H., 2009. ggplot2: Elegant Graphics for Data Analysis, Dordrecht; New York: Springer.
Spletne strani z gradivi, npr. http://www.htmlwidgets.org