This tutorial introduces you to the simplicity of lists, plus the power of lookups, URL properties and joins for generating insights into your results.

This "Rats of NIMH" demo uses four lists containing information about animal subjects and blood samples from those animals. Samples were subdivided into portions, then into slides, on which experiments were run. Gaining insight into these results requires joining them with information about samples and demographics to get the full picture.

Lookups and URL properties help you to navigate your data more easily. A lookup can let you display the name of the subject instead of displaying an obscure SubjectID. Lookups also let you link sample data to other information (such as demographic data). URL properties can help you link directly to relevant visualizations or outside sources from subject data. Joins help you gain insight across different lists of data by letting you view data from related lists together in common views.

Completing this tutorial requires administrative permissions, which you will have if you install a local evaluation server on your own machine in the first step. The covered features, however, are not restricted to admin users. You can explore many of them using the links provided to our interactive example.


View the interactive example of the lists used in this tutorial.

Related Topics

First Step


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