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Graphics, Multivariate Methods and Data Mining - STAT302
This unit consists of two modules concerned with the structure of multivariate data, one analytical, the other graphical. The graphical module provides an introduction to a selection of topics related to new computer based displays of multivariate data. Topics include: table presentation; principles of good graphical design; the scatterplot matrix; and dot charts for one and two-way classified data. The multivariate analysis module provides an introduction to selected topics in multivariate analysis; namely, cluster analysis, principal components, and discriminant analysis. Knowledge of simple matrix algebra, although not essential, would be very helpful in understanding and working through these topics. Statistical packages are used extensively to illustrate the concepts in lectures and tutorials.
| Credit Points: | 3 |
| When Offered: | D2 - Day; Offered in Session 2, North Ryde |
| Staff Contact(s): | Dr Tania Prvan |
| Prerequisites: |
STAT270(P) or STAT271(P) or BIOL235(P) or PSY222(P) or PSY248(P) |
| Corequisites: | |
| NCCW(s): | STAT396 |
| Unit Designation(s): | |
| Unit Type: | |
| Assessed As: | Graded |
| Offered By: | Department of Statistics Faculty of Science |
Timetable Information
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