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Chapter 8 Summarizing Data 271
Tabulating Data
Elements of a Table in Tabulate
This section defines the terms used in tabulate.
Column Table and Row Table
In Tabulate, a table is defined by its column headings and row labels. They are henceforth referred to as
the column table and row table.
Figure 8.10 Example of a Column Table and Row Table
Column table
8 Summarizing Data
Row table
Grouping Columns
Grouping columns are columns that you want to use to classify your data into categories of
information. They can have character, integer, or even decimal values, but the number of unique values
should be limited.
If there is more than one grouping column, Tabulate constructs distinct categories from the hierarchical
nesting of the values of the columns.
For example, from the grouping columns Sex with values F and M, and the grouping column Marital
Status with values Married and Single, Tabulate will construct four distinct categories, F and Married,
F and Single, M and Married, M and Single.
You can specify grouping columns for column tables as well as row tables. Together they generate the
categories that define each table cell.
Tabulate does not include observations with a missing value for one or more grouping columns by
default. You can include them by checking the Include missing for grouping columns option.
Analysis Columns
Analysis columns are any numeric columns for which you want to compute statistics. They are usually
continuous columns. Tabulate computes statistics on the analysis columns for each category formed
from the grouping columns.
Note that all the analysis columns have to reside in the same dimension, either in the row table or in the
column table.
Statistics
Tabulate supports a list of standard statistics. The list is displayed in the control panel. You can drag any
keyword from that list to the table, just like you do with the columns.
The statistics associated with each cell are calculated on values of the analysis columns from all
observations in that category as defined by the grouping columns.