Statistical Graphics and Visualization, Spring 2006

www.stat.cmu.edu/~fienberg/Stat36-315/36-315-2006.html

Instructor: Stephen E. Fienberg, Department of Statistics
Office: Baker Hall 132G
tel: 8-2723
e-mail: fienberg@stat.cmu.edu
Office Hours: Monday: 3:00-4:30pm or by appointment
http://www.stat.cmu.edu/~fienberg/

Teaching Assistant: Jeff Palmer
Office: FMSB Rm 320
tel: 8-3133
e-mail: jppalmer@stat.cmu.edu
Office hour: Tuesday, 3:30-4:30pm

Lab Assistant: Nina Vishwanath

Lectures: Monday and Wednesday, 12:30-1:20, Doherty Hall 2105
Computer labs: Friday, 12:30-1:20, BH140F

Announcements

1. Thhe will only be a single mid-semester exam this month, on Monday April 24 in the Baker Hall 140F computer lab (where we hold Friday labs). This will be an open-book computer based exam in whivh you will be asked to analyze one or more data sets using R tools and programs that you've been using throughout the course. You will have 50 minutes to complete the exam so be sure to come on time!!!!!

2. The last problem of Homework Assignment 9 is due this week on Wednesday April 19.

3. You can locate a copy of R 1.7.0 (the version we use in the labs) for Microsoft Windows machines at

http://mspcdip.mathematik.uni-karlsruhe.de/Bio_Praktikum/R/?M=A

For a copy of the Box-Cox Ladder of re-expression, click here.

For a copy of the Cleveland, Cleveland, McRae, and Terpenning article on using LOESS to seasonally adjust unemployment data, click here.

This article also includes a detailed analysis of the Mauna Loa CO2 data discussed in the text.

Date	Topic
1/16	Martin Luther King Day---no class
1/18	Introduction and statistical review quiz
1/23	The history and science of visualization
1/25	Histograms and alternatives
1/30	Q-Q plot, density difference, density ditch
2/01	Q-Q plots, box plots, and other plots in action
2/06	Pies, bars and area plots
2/08	Analysis and display of 2 by 2 tables
2/13	More on table displays: four-fold plots and mosaic plots
2/15	Mosaic displays, line charts, and principles of visual encoding
2/20	First Mid-semester Exam
2/22	Scatterplots and clutter
2/27	Prediction curves and aspect ratio; linear regression diagnostics
3/01	Multiple linear regression plots
3/06	Time-series plots I: Trends
3/08	Time-series plts II: Oscillations
3/13	Midsemester Spring Break
3/15	Midsemester Spring Break
3/20	Time-series plots III: Rate of change plots
3/22	Three Dimensional Plots I
3/27	Three-Dimensional Plots II: Prediction surfaces, slicing
3/29	Contour plots, history
4/03	Interpreting contour plots
4/05	Map projections/Statistical maps/Map smoothing
4/10	Map projections/Statistical maps
4/12	Statistical maps/Color science and color perception
4/17	Map smoothing/Dynamic graphics (movies)
4/19	Hypervariate plots to explain outliers
4/24	Second Midsemester Lab Exam (open book)
4/26	Projections of high-dimensional data
5/01	Nomograms, Parallel-coordinates and Iconic displays: stars, images, faces
5/03	Airplanes movie, course wrap-up

Last modified: April 17, 2006.