Schedule
for STAT 663/ CSI 773 |
The tentative schedule for Fall 2009
The instructor reserves the
right to improve and adjust the ambitious schedule.
To save assignment files in your chosen directory, right click on the link and use save link as.
Key: CL=
Cleveland's Visualizing Data, E&H = Everitt and Hothorn's A Handbook of Statistical Analyses Using R, V&R =
Venables and Ripley's Modern Applied Statistics with S
|
Week |
Topics |
Readings, References and Notes |
Assignments |
|
Getting
Started |
| Syllabus: |
Texts
Assignments
Quizzes and MidTerm Exams
Redesign Project
Final Project |
| Background: |
Instructor description
Student descriptions |
| Logistics: |
Class Web Site
Student Web Pages |
| Topics: |
Data exploration versus probablistic inference |
| R |
Introduction |
| |
Tufte's The Visual Display Of Quantitative Data |
| Sample of Graphics |
CCmaps
Linked micromaps
CrystalVision |
|
CL: p1-20
Note E&H is now suggested not required
E&H: Chapter 1
Create a web site
Example web page
Email the link to dcarr@gmu.edu
R Installation and Resources
Tufte's
ask E.T. page |
a1_R commands
a1_Graphics building blocks
a1_Looping and Matrices
Create a web site
Go to the web site below.
Experiment with NameVoyager
Click on the Tab for NameMapper
experiment with this, especially e the
timeline view under the timeline tab Get a one sreen shot to include
with your assignment.
BabyNameWizard
Only turn in the graphics build blocks
assignment and the screen shot.
Due: Sept 15 |
| 2- Sept 8 |
Foundations
of Graph Design |
| Topics: |
Representation systems and communication goals |
| |
Psychophysics laws |
| |
Visual processing channels |
| |
Textons, discrimination, and perceptual grouping |
| |
Perceptual accuracy of extraction |
| |
Memory limits and computational weaknesses |
| |
Visual layering, sorting, reference simplification |
| Redesigns |
Converting tables to plots |
| Reasoning |
Magical Thinking and Data Exploration |
| |
Row-labeled bar plot |
| R |
Panel Layouts, Writing Functions |
|
CL: 21-41 QQplots, Distributionl Comparisons,
Basic Graphics
Lecture Notes:
Perception
Cognition and Graphics Guidelines
Psychophysics and Eyes
Change Blindness ppt
|
panelFunctions
a2_Panel Layouts
a2_Lecture examples
a2_Writing functions
and bar plots
a2_Lattice graphiics
Due: Sept 22 |
| 3-Sept 15 |
Describing and Comparing
Univariate Distributions
|
Topics: |
Quantile and CDF Plots |
| |
Boxplots |
| |
density plots |
| |
transformations |
| |
QQplots and interpretation |
| |
MD and SL plots |
| |
Paired comparison versus distribution comparison |
| Tools: |
Color Brewer |
| Redesign |
|
| R |
Denisty Quantiles, Boxplots, QQplots,
Parallel quantiles and cumulative percents |
|
CL: p42-85 Transformation
CL: p86-109 (Skip For the record
P:90-91)
E&H: Density Estimation p109-130
Data and Data tables
Univarate plots
|
gridPlotFunctions
a3_Density plots
a3_Quantiles
a3_Qqplots
Tretinoin.csv
a3_Boxplots
a3_dotplots
Due: Sept 29 |
| 4-
Sept 22 |
Bivariate Data
Scatterplots and Smooths,
Scatterplot Matrices and Scagnostics
|
Topics: |
Scatterplots |
|
Smoothes y=f(x) |
|
Scatterplot Matrices |
|
Linked Brushing |
|
CrystalVision |
|
(Scagnostics) |
|
Parallel Coordinates |
| Redesign |
Washington Post Example |
| |
Converting tables to plots (from week 2) |
| R |
Color control, smoothing, etc. |
|
CL: 3.2-3.6, Loess Fitting p91-127
Data for your interest
CV_BodyCenteredCube.txt
On hour of network session show in class
24 hours: 307235 cases and 12 variables
GreenNet1May02hr0.csv
a4_CV_LANL Network_Sessions
Assignment topic for next year
a4_Scagnostics |
hamster.csv
a4_Smoothes y=f(x)
a4 Scatterplot Matrix
gemIdGene.csv
genePNAS.txt
genePNASlines.txt
CrystalVisionDemo
a4_CV Genes
Due: Oct. 6 |
| 5- Sept 29 |
Bivariate Densites
and Trivariate Data
|
| Topics |
Hexagon binning |
| |
Boxplots binning and maps |
| |
Bivariate density estimates |
| |
Contours and surfaces |
| |
Smoothes z=f(x,y) |
| |
3-D scatterplots |
| |
Stereo Construction - no graphics :-( |
| |
Rotation |
| |
Conditioned views and differences |
| Reasoning |
Common human flaws |
| Redesign |
Examples from Canada |
Notice: |
Exam in Week
8 |
|
CL: 3.7-3.9 Slicing, Discrete Values, Transformations p128-145:
Many lecture comments are in the assignments.
a5_3-D scatterplots
a5_ conditioned views and differences
|
hbinFunctions
a5 Bivariate point density
a5_Variables z=f(x,y)
a5_Rotate
a5_ggplot2
Due: Oct. 13 |
| 6-
Oct 6 |
Maps and
Geospatially Indexed Statistics
|
Topics: |
Map projections |
|
Map symbolization |
|
Choropleth maps |
|
Map legends |
|
Conditioned choropleth maps |
|
Linked micromap maps |
| Redesign |
|
| Reasoning |
Great arc distance
Projections and data density
Modifiable area unit problem
|
|
Download Linked Micromap Software from NCI
Works with your own shapefiles and data.
Includes pdf tutorials.
Linked Micromaps over the web at
NCI
MidTerm Exam 1 Scope and Selected Answers
Mid Term Exam 1 Sample
|
stateVisibilityBorders
nationVisibilityBorders
stateNamesFips
stateUnemployment95
panelLayoutObjects.txt
stateMicromapObjects.txt
Statelungwm50_69.txt
Statelungwf50_69.txt
Statelungwm70_94.txt
Statelungwf70_94.txt
Countylungwm70_94.txt
Countylungwf70_94.txt
a6_Linked Micromaps
a6 stateMicromaps
a6_choropleth map
a6_CCmaps
CCmaps web page
Due: Oct. 27
|
No Class
Oct 13 |
Monday's Classes on Meet Tuesday |
|
|
7- Oct 20 |
Smoothing, Hots Spots
and Comparing Maps
|
| Topics: |
Geospatial Smoothing |
|
Scan Statistics for hot spots |
|
Showing map differences explicitly |
|
Satellite images |
|
Comparative Indexed Maps Series |
| Notice |
Redesigns Due Week 9 |
|
CL: 3.10 Bivariate Distributions p146-151
CL: 3.11 Time Series p152-169
Comments on Map Smoothing
Graph
Redesign Guidelines
|
hsaCentroids.csv
hsaPoly.csv
hsaWMColonMort.csv
usGrid90Cell.csv
usGrid90States.csv
usGrid90Centroids.csv
usGrid90Clip.csv
albersLegend.r
a7_Map smoothes z=f(x,y)
ndviSept82.txt
ndviSept92.txt
a7_satelliteImage
Due: Nov 3 |
8-
Oct 27
|
| |
Topics: |
Multiple Linear Regression |
|
Logistic Regression |
|
Regression diagnostics |
|
(LARS and Lasso LARS) |
| Exam |
MidTerm Exam |
| Video |
(Buja and Stuetzle: Focusing and Linking) |
|
CL:4.6-4.11 Level Plots/Stereo 228-269
E&H: Multipe Linear Regression
E&H: Logistic Regression
Modeling and Visualization
Regression Specification and Diagnostics
Redesign Order 2009 |
abrasionLoss.txt
a8_Regression and diagnostics.r
a8_rgl 3D surface residuals spanning tree
a8_Logistic regression
Due: Nov 10 |
9-Nov 3
Redesign
Presentations |
|
Final
Project Guidelines
Next year assignment additions:
Cancer screening tables
Error rate tables
|
Due: Nov 17 |
10-
Nov 10
|
| |
Topics: |
Scaling and transformations |
| |
Dissimilarities and distance |
| |
Clustering Methods |
| |
Graphics for cluster evaluation |
| |
Finding Lower Dimensional Clusters |
| |
Dendrograms and heat maps |
| |
Hexagon cluster graphs |
| |
Clustering for Compression |
| |
Showing Earth Grid Cell Clusters |
|
E&H: Cluster Analysis p243-257
Notes: Distances and
Dissimilarities
Notes: Clustering Comments
Showing Earth Cell Clusters
This talk is about is about visualizing
multivariate multi-altitude atmosphere data
for the whole earth. NASA has addressed the
hard processing steps involving many terabytes of
from the Atmospheric Infrared Sounders (AIRS)
This is collaborative work with Amy Braverman JPL |
gemIdGene.csv
heptathlon
hypertree
a10_scaling and transformations
a10_dissimilarities and clustering
a10_cluster subspaces
Due: Nov 24 |
| 11- Nov 17 |
Dimension and Resolution Reduction
Projection and Sectioning
|
| Topics: |
Scaling revisited |
|
Resolution reduction |
|
Multidimensional scaling |
|
Principal components |
|
SVD and matrix approximation |
| |
Seriation and appearance |
|
Projection, rotations and tours |
|
Projection, sections and dimensionality |
| Notes: |
Seeing
Constraints (PDF file) |
|
Notes are embedded in the assignments.
Next year candidate assignment
a13_som
|
geneMstRowSubs
geneMstColSubs
centeredMstRowOrder
centeredMstColOrder
svdM9MstRowSubs
svdM9MstColSubs
ColorMatView
ColorCorMatBars
a11_RowAndColumnOrderingForGraphics
a11_dimensionReduction
Due: Dec 1
|
| 12-
Nov 24 |
Data Mining and Graphics:
CART, Random Forest, Rule Fit
|
| Topics: |
Transformations |
|
Classification and regression trees: rpart() |
|
Random forests |
|
Rule fit (brief commentsr) |
| Notice |
Projects and Presentations are the Final Exam |
|
E&H Recursive Partitioning p131-142
The assignments include lots of descriptions
Possible assignments for next year
a13_Discriminate Analysis
a13_Support Vector Machines |
a12_Recursive Partitioning
a12_Random Forests
Due: Dec 8 |
| 13- Dec 1 |
Layouts and Layering,
Coordinate Construction and Glyphs
|
| Topics: |
Layering and grouping |
|
Visual layering and layer controls |
|
Space filling layouts |
|
Cluster layouts and spring models |
|
Hexagon cluster graphs |
|
Coordinant construction for statistics indexed by letter sequences |
| Videos: |
Escher (if time) |
|
Failure to Communicate (if I can find it) |
| CL: 6. Multiway Data 302-340
Paper Length
Individuals should target 20 pages
Groups of two should target 30 pages
|
CPI data
panelEdge3d
spaceFillLayouts
a13_Embellish
a13_Glyphs
a13_Cluster layouts
Due: Dec 15
|
| 14- Dec 8 |
Coordinate Construction
Cognitive Simplicity Reward Functions
Coherence Analysis
|
| Topics: |
Coordinant construction for statistics indexed by letter sequences |
|
Variable encoding coordinate construction |
|
Measures of Simplictiy |
|
Simplicity indiced higer order measurs |
|
Coordinant construction for statistics indexed by letter sequences |
|
Glyph encodings |
| Videos: |
Escher (if time) |
|
Failure to Communicate (if I can find it) |
| CL: 6. Multiway Data 302-340
Paper Length
Individuals should target 20 pages
Groups of two should target 30 pages
|
No Assignments
Work on Final Project
|
| Final- Dec 15 |
Project Presentations |
All Final Project Papers Due |
|