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Sample Files
loans. The last 150 cases are prospective customers that the bank needs to classify as good
or bad credit risks.
bankloan_binning.sav. This is a hypothetical data file containing financial and demographic
information on 5,000 past customers.
behavior.sav. In a classic example (Price and Bouffard, 1974), 52 students were asked to
rate the combinations of 15 situations and 15 behaviors on a 10-point scale ranging from
0=“extremely appropriate” to 9=“extremely inappropriate.” Averaged over individuals, the
values are taken as dissimilarities.
behavior_ini.sav. This data file contains an initial configuration for a two-dimensional solution
for behavior.sav.
brakes.sav. This is a hypothetical data file that concerns quality control at a factory that
produces disc brakes for high-performance automobiles. The data file contains diameter
measurements of 16 discs from each of 8 production machines. The target diameter for the
brakes is 322 millimeters.
breakfast.sav. In a classic study (Green and Rao, 1972), 21 Wharton School MBA students
and their spouses were asked to rank 15 breakfast items in order of preference with 1=“most
preferred” to 15=“least preferred.” Their preferences were recorded under six different
scenarios, from “Overall preference” to “Snack, with beverage only.”
breakfast-overall.sav. This data file contains the breakfast item preferences for the first
scenario, “Overall preference,” only.
broadband_1.sav. This is a hypothetical data file containing the number of subscribers, by
region, to a national broadband service. The data file contains monthly subscriber numbers
for 85 regions over a four-year period.
broadband_2.sav. This data file is identical to broadband_1.sav but contains data for three
additional months.
car_insurance_claims.sav. A dataset presented and analyzed elsewhere (McCullagh and
Nelder, 1989) concerns damage claims for cars. The average claim amount can be modeled
as having a gamma distribution, using an inverse link function to relate the mean of the
dependent variable to a linear combination of the policyholder age, vehicle type, and vehicle
age. Thenumberofclaimsfiled can be used as a scaling weight.
car_sales.sav. This data file contains hypothetical sales estimates, list prices, and physical
specifications for various makes and models of vehicles. The list prices and physical
specifications were obtained alternately from edmunds.com and manufacturer sites.
car_sales_uprepared.sav. This is a modified version of car_sales.sav that does not include any
transformed versions of the fields.
carpet.sav. In a popular example (Green and Wind, 1973), a company interested in
marketing a new carpet cleaner wants to examine the influence of five factors on consumer
preference—package design, brand name, price, a Good Housekeeping seal, and a
money-back guarantee. There are three factor levels for package design, each one differing in
the location of the applicator brush; three brand names (K2R, Glory,andBissell); three price
levels; and two levels (either no or yes) for each of the last two factors. Ten consumers rank
22 profiles defined by these factors. The variable Preference contains the rank of the average
rankings for each profile. Low rankings correspond to high preference. This variable reflects
an overall measure of preference for each profile.