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Tutorial

The lists in the upper part of the window show all the categories that are available for the dataset. Click on any of the list items to select a category and select all the objects that belong to this category. Selected objects are shown in red.
If you would like to work with only a subset of the data, then click on the little filter icon to the left of a list item. All the objects that do not belong to this category will then be filtered out (marked in dark blue, not active anymore) so that you can concentrate on your objects of interest.
Selected items can be painted with any one of the four available colors to mark them more permanently.
To reset selection, filtering or painting, use the buttons in the toolbar.

In the lower part of the window, the numerical attributes of the data are shown. You can choose between a graphical and a tabular representation of the values by clicking on the respective tab.

In the graphical view, all the numerical attributes are assigned to a vertical axis, grouped according to themes (click on the yellow arrows in the title to expand or collapse a group). All the values for one object are connected with a line. This lets you easily compare the characteristics of two objects.

Every axis is also equipped with a range slider that lets you filter certain values of one or more attributes. Click on the top or bottom end of the range slider, and drag it up or down to define the filter range. Tip: double-click on a range silder to reset it to its full range position.

The tabular view is pretty straightforward. It simply shows all the active (not filtered out) objects in a plain old table. Click on a column header to sort the table by that column. Click again to change sorting order from asending to descending.

After you played around a bit, you will have found that it is very easy to quickly access specific values for specific objects. It is much faster than looking it up in a big table or issuing a database query. Just click on an object in any of the views and there you go. Individual values can not only be easily found, but they are also embedded in the overall context and you immediately see how they relate to other objects.

In addition to quick data access, the different views provide various ways of revealing interesting patterns in the data and allow you to make sense of it.