Example: Characteristics of Hardware

To explore how multiple correspondence analysis works, you will use data from Hartigan 1, which can be found in screws.sav. See the topic Sample Files for more information. This dataset contains information on the characteristics of screws, bolts, nuts, and tacks. The following table shows the variables, along with their variable labels, and the value labels assigned to the categories of each variable in the Hartigan hardware dataset.

Table 1. Hartigan hardware dataset
Variable name Variable label Value label
thread Thread Yes_Thread, No_Thread
head Head form Flat, Cup, Cone, Round, Cylinder
indhead Indentation of head None, Star, Slit
bottom Bottom shape sharp, flat
length Length in half inches 1/2_in, 1_in, 1_1/2_ in, 2_in, 2_1/2_in
brass Brass Yes_Br, Not_Br
object Object tack, nail1, nail2, nail3, nail4, nail5, nail6, nail7, nail8, screw1, screw2, screw3, screw4, screw5, bolt1, bolt2, bolt3, bolt4, bolt5, bolt6, tack1, tack2, nailb, screwb

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1 Hartigan, J. A. 1975. Clustering algorithms. New York: John Wiley and Sons.