CHARITY dataset
CUSTLOYALTY dataset
CUSTCHURN dataset
Appliance shipments
Data for Exercise 3 Chapter 9
Stock data for Exercise 2 in Chapter 4 (prediction set)
NFL data for Exercise 2 Chapter 9
Housing data for Exercise E in Chapter 3
Stock data for Exercise 2 in Chapter 4
CHURN dataset
DIET data
CENSUS data
Subset of CENSUS data
DONOR dataset
NFL data for Exercise A in Chapter 3
BIKE dataset for Exercise 1 Chapters 7 and 8
Bodyfat data for Exercise F in Chapter 3
Exploratory building of partition models
EDUCATION data
WINE data for Exercise 3 Chapter 6
Bike data for Exercise 1 in Chapter 4
Linear and Logistic Regression diagnostics
NFL database
BIKE dataset for Exercise 4 Chapter 5
Some offensive statistics from NFL dataset
Complexity Parameter table for partition models
DONOR dataset for Exercise 4 in Chapter 5
Wins vs. Fumbles of an NFL team
STUDENT data
Student survey 2009
Friendship Potential vs. Attractiveness Ratings
CENSUS data for Exercise 5 in Chapter 2
Association Analysis
Variable selection for descriptive or predictive linear and logistic regression models
Student survey 2010
Correlation Matrix
CUSTREACQUIRE dataset
Influence plot for regression diganostics
Harris Bank Salary data
DONOR dataset for Exercise 1 in Chapter 6
Junk-mail dataset
CLICK data for Exercise 2 in Chapter 6
Student survey 2011
Interest in frequent flier program (large version)
Interest in a frequent flier program (small version)
New product launch data
A crude check for extrapolation
Segmented barchart
Combining levels of a categorical variable
Movie grosses
Mosaic plot
Examining model AICs from the "all possible" regressions procedure using regsubsets
Find the mode of a categorical variable
Examining pairwise interactions between quantitative variables for a fitted regression model
Variance Inflation Factor
TIPS dataset
PURCHASE data
Sales of a product one quarter after release
WINE data
Visualizing the relationship between y and x in a partition model
ABALONE dataset for Exercise D in Chapter 3
TIPS data for Exercise 6 in Chapter 2
Illustrating how a simple linear/logistic regression could have turned out via permutations
QQ plot
CUSTVALUE dataset
Pairwise correlations between quantitative variables
Birthweight dataset for Exercise 1 in Chapter 9
CATALOG data for Exercise 2 in Chapters 7 and 8
Pima Diabetes dataset
Choosing order of a polynomial model
Confusion matrix for logistic regression models
Correlation demo
Useful summaries of partition models from rpart
Combines rare levels of a categorical variable
Cockroach poisoning data
Transformations for simple linear regression
Visualizations of one or two variable linear or logistic regressions or of partitions models
Speed vs. Fuel Efficiency
Calculating the generalization error of a model on a set of data
Interactive demonstration of the effect of an outlier on a regression
Demonstration of overfitting
Predicting future sales
BULLDOZER data
BODYFAT data
Predicting whether a customer will open a new kind of account
AUTO dataset
Secondary BODYFAT dataset
CALLS dataset
Modified BULLDOZER data
Attractiveness Score (female)
Attractiveness Score (male)