Workspace Node: Graphs - Categorized Tab

In a graph workspace node, select the Categorized tab to access options for creating categorized graphs. Categorization is used in two classes of graphs in Statistica: categorized graphs (e.g., Categorized Scatterplots) and graphs that include grouping or categorized variables (e.g., 2D Histograms or 2D Box Plots).

Note: Some Categorized tabs contain only the X-Categories group box, and some do not contain the Layout options.

X-Categories / Y-Categories.

Element Name Description
On When this check box is selected, the rest of the options in the group box become available. The On check box in the Y-Categories group box is disabled until the On check box in the X-Categories group box is selected.

Select Integer mode, Unique values, or Categories to specify that method of categorization for each of the variables selected via the Change Variable button, or use the Boundaries, Codes, or Multiple subsets options. For more information about each of these methods of categorization, click on the links below:

Integer mode
Auto check box selected The Auto check box is used to automatically identify the most informative method of categorization. The program will identify from the data the appropriate boundaries and step sizes for the bins that will yield the most easily interpretable graph. This method of categorization is also referred to as neat scaling: "Neat" categories in this context means that Statistica chooses a step size with the only significant digit being either 1, 2, or 5 (e.g., possible step sizes could be .1, .05, 50, 200, etc.). However, if you want to force single integer categories (e.g., if you want to produce a histogram for 100 different integer values), clear the Auto check box to create categorizations (binning) as described in the next paragraph.
Auto check box not selected When this check box is cleared, Statistica truncates (not rounds) each encountered value of the selected variable to an integer value, and creates one category for each integer. For example, all values 2.1, 2.4, 2.5, 2.8, ... would be truncated to the integer value 2, and counted in that (integer) category. If the nature of the data is continuous (with fractional values), in order to obtain a detailed picture of the distribution of the respective variables, accept the default Auto option (leave the check box selected), which causes values to be binned (assigned to categories) as described in the previous paragraph.
Unique values
Unsorted Select this option button to plot the categories in the same sequence as they occur in the data set.
Asc Select this option button to plot the categories in ascending order.
Desc Select this option button to plot the categories in descending order.
Change Variable Click this button in either the X or Y category group to display the Select Categorization Variable dialog box.
Layout Select the type of layout for the graph(s).
Separate Select this option button to produce a Separate plot layout (where each subset of cases is displayed in a separate graph) for the categorized plots.
Overlaid Select this option button to produce an Overlaid plot layout (where all subsets are overlaid in one graph and identified by patterns and colors) for the categorized plots.