When you want to explore your data, it usually is a good idea to compute some statistics about them so that you can spot the obviously wrong data (for example, when some data should be positive and it appears as a negative minimal value, it is suspicious).
Most of the nodes require you to not have NaN values within the data to be analyzed. You can remove them with the value modification techniques presented in the previous chapter, or by filtering the rows, also discussed in the previous chapter.
The minimal and maximal values can be checked in the port view's Spec Columns tab. This can already be used to spot certain kinds of problems.
For statistics within groups, we have the good old GroupBy node. That allows you to aggregate using the functions described on the Description tab of the configuration dialog.
When you do not need the grouping, you can use the Statistics node with easier configuration. Just select the columns, the number of values that should be present in...