Introduction to styles of data analysis techniques and information visualization; Histograms, stem and leaf diagrams, boxplots, quantile plots; assessing distributional assumptions about data; Plotting high- dimensional data with special emphasis on parallel coordinate plots, scatter matrices, star glyphs, treemaps; Class project with real-world data-set provided by the instructor or developing information visualization software program.