Data Handling and Visualization

Course content

Structures, semi-structured and unstructured data types. Data manipulation and preprocessing. Dimension reduction. Sampling, oversampling, undersampling. Data scraping and wrangling. Visualization of multivariate data. Panel displays, surface plots, 3D scatterplots, contour plots. 2D representation of multivariate data. Interactive graphics revealing any structure in data: Asimov?s grand tour, projection pursuit explanatory data analysis (PPEDA). Visualization of categorical data. Dynamic graphics.