The COUNT and DCOUNT aggregators are used when you need to count specific objects or events in your data. COUNT is used to count all recorded values, while DCOUNT counts only unique values.
In many cases, both aggregators will yield the same results if the values being counted are not repetitive. For example, counting Ticket IDs in the Tickets dataset will give the same result for both aggregators since each ticket ID is unique. However, in datasets where values repeat, like the Updates history dataset, COUNT will return a higher result as it counts each occurrence.
To change the metric aggregator in Zendesk Explore, you need to access the report builder. First, add a metric to the Metrics panel. Then, click on the metric you added and select a new aggregator from the list. The available aggregators will vary…
Zendesk Explore offers a variety of metric aggregators to help you analyze your data effectively. These include COUNT, DCOUNT (distinct count), SUM, AVG (average), MED (median), MIN (minimum), MAX (maximum), VARIANCE, STDDEV (standard deviation),…
AVG (average) and MED (median) aggregators both help in understanding the tendency of a metric, but they differ in their approach. AVG calculates the arithmetic mean of numeric values, making it suitable for data that is mostly uniform. However,…
The VALUE aggregator in Zendesk Explore is unique because it is only available within formulas. It returns the exact value of a metric without any additional manipulation, making it useful for creating calculated metrics or attributes. VALUE can…
Choosing the right metric aggregator in Zendesk Explore depends on your reporting needs. By default, metrics use the most relevant aggregator, but you might need to select a different one based on your specific requirements. For counting objects,…