This section provides examples setting up the WizardActions, simulating intrinsic variables for debugging in UNICOM Intelligence Professional, and wizard routing used for a working UNICOM Intelligence Reporter wizard.

The complete wizards are available in the Library directory and can be loaded into UNICOM Intelligence Professional for testing. Testing in UNICOM Intelligence Professional requires wizard changes, so it is suggested that you make a writable copies of the wizards for testing purposes.

This wizard adds a FormatExpression for a cell item on the specified tables. Formatting can be used to display a cell item as a currency, turn a date into a duration, or set the format of a number. The wizard is also useful for profile tables where the user might want to truncate open ended text or use a category value instead of a name. This wizard typically requires an understanding of the available expressions and functions (in particular the Format function). For more information, see the Expressions and Functions topic.

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This wizard provides a shortcut for setting decimal places for special elements based on type. Using this wizard you can easily set all of the special elements of a particular type (percentiles or standard deviations, for example) to use a specified number of decimal places.

This wizard adds a base for each category to the selected variable, allowing percentaging for each category to be based on a different base. This is useful if categories have been added or removed in different versions or if the question’s categories are filtered (by using the base variable or expression method). In either case, the wizard provides the option of displaying the base or hiding it. For more information, see Changing the base to reflect the version.

This wizard makes it easy to update a set of variables with special elements, such as Top 2, Bottom 2, Mean, Minimum, and Maximum.

This wizard creates a new banded datetime variable based on the selected datetime variable. You are provided options on which time unit to use for banding (minutes, hours, days, and so on). You can also specify a start and end time. This can be based on initial data information (if requested), or you can specify that the banding is done over a larger time unit. For example, if you choose hours as the time unit, you can then choose to band the hours for all days. This would allow you to see, for example, if calls to support are made more often in the 8-9 hour than the 12-13 hour.

This wizard allows you to enters the desired percentile banding for the selected numeric variable. The wizard runs a table to find the ranges for the variable for the desired bands and then creates a new variable based on those bands.

This wizard makes it easy to copy the edits made to one variable to a set of other variables. You must ensure that the source variable edits are appropriate to the target variables.

The wizard allows you to select which tables are used as banners and sides from the UNICOM Intelligence Reporter Tables list. The wizard presents a list of available tables, allowing you to select a role for each table. Select to use the available tables as either banner templates, side templates, or both. A separate folder is created for each table that is selected as a banner template. Tables that are selected as side templates are placed under each banner folder. The dialog contents are defined in the wizard’s .mdd file.

The wizard creates a folder in the Tables pane for each grid variable. You must select both a table and one or more grid variables before using this wizard. The created folder contains a grid table that includes a Top 2 and mean on the sub-question. The wizard also creates a table for each grid iteration that uses the banner (top axis) from the selected table, and the grid sub-question for the selected iteration as the side variable.

The wizard creates a Top 2 grid summary variable. The summary variable includes a category for each grid iteration where the category is selected if the respondent chose one of the Top 2 categories in the sub-question category list. This summary variable can then be tabulated against various banners to analyze the respondents who chose one of the Top 2 categories for each grid iteration.