Heat Map Usage and Data Format
You can use the Heat Map
widget to
visualize results of the groupBy()
,
top()
, bucket()
, and
timeChart()
query functions. In all cases, the
result needs to contain two grouping variables and a third variable with
the aggregate result. Thus, for groupBy()
and
top()
you need to specify two fields to group by,
and for bucket()
and
timeChart()
you need to specify a single field to
group by along with the timestamp.
The Heat Map
widget is typically well
suited when there is an inherent ordering to both the axis variables and
you want to have, for instance, an overview of how many events fall into
each combination of those variables.