Red Triangle Options for the Data Filter

The red triangle menu next to Data Filter contains the following options:

If you have more than one nominal or ordinal column selected in the Data Filter, this option clears any other selections before making a new selection. For example, using Big Class.jmp, suppose that you have the columns sex (nominal) and age (ordinal) in your Data Filter. If you have males (M) selected for sex, and you click on an age group, say age 12, your selection of males will be automatically cleared. This means that selecting age 12 is not conditional on selecting males. Conversely, if you turn off Auto clear, you can then select both males and age 12 at the same time. Auto clear is on by default.

Conditional

Limits the categories displayed for the unselected filter column. See Conditional Data Filters.

Grouped by AND

Enables you to control the AND and OR behavior of multiple groups of column filters. See Grouped by AND in Data Filters.

Use Floating Window

Keeps the Data Filter window on top of its associated data table. If you do not want the Data Filter window to remain on top, deselect this option.

Start Over

Closes the current Data Filter session and shows the original Data Filter window.

Animation

Sequentially highlights the values of a single variable in the data table. See Animation in Data Filters.

Show Subset

Creates a new data table that contains only the following:

–

The rows identified by the Data Filter.

–

The columns selected in the active data table. If no columns are selected, then all columns are included.

This option is similar to the Tables > Subset command, only without subsetting options.

Save Where Clause

Builds a WHERE clause based on the value selections that you make.

Save Script

Provides options for saving scripts. See Save Script Menus.

Conditional Data Filters

For filter columns with hierarchy, you can use the Conditional option to filter what appears in the column lists. For example, you could filter by region so that only the states in the selected region appear in the list.

Note: If there is more than one OR group, the conditional filter is not available.

The following example illustrates how the Conditional option helps show the subcategories clearly, without the extra categories that do not belong.

Select Help > Sample Data Library and open Cities.jmp.

Select Rows > Data Filter.

In the Data Filter window, select city, State, and Region, and then click Add.

The Data Filter window appears, showing a list for each variable.

Select Conditional from the Data Filter red triangle menu.

Select MW in the Region list.

Select OH from the State list.

The cities that are in Ohio and in the Midwest region are selected in the data table. In the Data Filter window, only Midwestern states appear in the State list, and only cities in Ohio appear in the cities list. See Figure 9.11.

Figure 9.11 Using the Conditional Option

The bracketed number in front of the column name indicates the order in which the column values were selected. In Figure 9.11, Region was selected first, so it has a [1] in front of the column name. State was selected second, so it has a [2] in front of the column name.

When you rearrange hierarchical filters that are in ascending order, the filter number changes to match the ascending position in the hierarchy.

To clear the selections and reset the order of the hierarchy, click Clear.

Grouped by AND in Data Filters

When you add a filter column, click AND, and add another filter column, you create a filter group. Within that group, columns that meet all criteria are selected in the data table.

When you then click OR and add one or more filters, you create a second filter group. With Grouped by AND deselected, this is the default behavior.

If you select Grouped by AND, you reverse the behavior.

The following example shows what happens when Grouped by AND is selected.

Select Help > Sample Data Library and open Big Class.jmp.

Select Rows > Data Filter.

Select Grouped By AND from the Data Filter red triangle menu.

In the Data Filter window, select the age column and click Add.

Click OR and add the sex column.

sex is added to the same group as age.

Hold down the Ctrl key, select 14 from the age filter, and select M from the sex filter.

age and sex are in the same group. In the data table, rows that meet either the age OR sex conditions are selected. That is, all 14-year-olds and all males are selected in the data table.

Click AND and add the weight column.

A new group is added.

Move the left weight slider to approximately 112.

Another filter group has been added. The second filter group limits the selection to those rows where weight is greater than 112.

The two filter groups together select rows that satisfy the condition in the first group AND the condition in the second group, that is, a student who is 14 or any male but must weigh more than 112.

Figure 9.12 Data Filter with Grouped by AND Condition