IE 424 Exploratory and Graphical Methods for Data Analysis

Credit Information: 
(2+0+2) 3
Description: 
Portraying and comparing distributions, quantile plots, box plots, stem and leaf diagrams; transformations; smoothing; multivariate data, scatter plot matrices, Kleiner-Hartigan trees, Chernoff faces, star diagrams, glyphs; developing regression models, outlier detection, partial residual plots, Cp plots; ridge regression; robust regression.
Prerequisite: 
IE 256 or consent of the instructor.