What are categorized graphs?
Categorized graphs are created by categorizing data into subsets and then displaying each of these subsets in a separate small component graph arranged in one display. For example, one graph can represent male subjects and another one female subjects, or high blood pressure females, low blood pressure females, high blood pressure males, etc. In STATISTICA, categorized graphs are: • available in many output dialogs (they are automatically generated as part of output from all procedures that analyze groups or subsets of data, e.g., breakdowns, t-tests, ANOVA, discriminant function analysis, nonparametrics, and many others), • accessible as part of the Graphs of Input Data options in the shortcut menus in all spreadsheets, and • accessible from the Graphs menu where a wide variety of user-defined methods to categorize data are available. How Do I Define Categories for Categorized Graphs? If categorized graphs are requested from output dialogs of specific procedures that involve analyses o
Categorized graphs are created by categorizing data into subsets and then displaying each of these subsets in a separate small component graph arranged in one display. For example, one graph may represent male subjects and one female subjects, or high blood pressure females, low blood pressure females, high blood pressure males, etc.
Categorized graphs (the term first used in STATISTICA software by StatSoft in 1990; also recently called Trellis graphs, by Becker, Cleveland, and Clark, at Bell Labs) produce a series of 2D, 3D, ternary, or nD graphs (such as histograms, scatterplots, line plots, surface plots, ternary scatterplots, etc.), one for each selected category of cases (i.e., subset of cases), for example, respondents from New York, Chicago, Dallas, etc. These “component” graphs are placed sequentially in one display, allowing for comparisons between the patterns of data shown in graphs for each of the requested groups (e.g., cities). A variety of methods can be used to select the subsets; the simplest of them is using a categorical variable (e.g., a variable City, with three values New York, Chicago, and Dallas). For example, the following graph shows histograms of a variable representing self-reported stress levels in each of the three cities. One could conclude that the data suggest that people who live i
