Architects, analysts, developers or testers are sometimes interested in some statistical overview of the data consumed from a topic.
Consider introducing a simple analysis feature based on some predicates and calculating percentages.

For example:
1., there is topic orderCompleted
2., the following messages are published to the topic :
{
"orderNr": "abc/12",
"completedAt": "2018-05-01T10:00:00.000Z"
}
3., User defines predicates for e.g. quarters of the year based on the timestamp.
4., User starts consuming from a topic, either print the result live or gather data first and calculate result in a post-processing.
Then print something like (numbers are random in the example):
Q1 140.000 23,76%
Q2 150.000 26,24%
...
All 700.000 100%

Do NOT aim to implement an OLAP Engine / Cube based analysis tool, this is out of scope of KafkaEsque. Only provide possibility for simple analyis like above.
Instead of providing detailed technical descriptions or even patches to be apply, the goal of this feature request is to be a basis for further discussions and to gather ideas.
The following questions need to be answered:
1., Is this a useful feature or is there another simple way to gather this information? KSQL, "quickly" write a Streams App, other tools?
2., What would the syntax of the predicates be like?