In nverno/mooseapp: Interactive visualization and analysis of Moosilauke data

Using the Aggregation Panel

There are a couple of basic concepts.

Target Variables: These are the variables of interest. They will be split by all combinations of the grouping variables, and the summary function will be applied to each group. These variables can be either continuous or categorical, but if more than one is selected, they should be of the same type.
Grouping Variables: The grouping variables should be a categorical variables like plot (PPLOT) or elevation class (ELEVCL). You can also turn a continuous variable into a categorical variable by binning it into classes (for example binning DBH into a sequence of size classes).
Summary Functions: These are the functions that will be applied to the target variables after they have been split into groups by the grouping variables. If the target variables are categorical, functions like the mean or max, don't make sense. Instead, use functions to count total occurences or find all unique values.