COUNT and DCOUNT are both aggregation methods used in Zendesk Explore, but they serve different purposes. COUNT simply counts the total number of items in a dataset, while DCOUNT counts only the unique items.
For example, if you have a list of animals like 'Cat, Cat, Dog, Bird', using COUNT would give you a total of 4, as it counts each item. On the other hand, DCOUNT would return 3, as it only counts unique items. This distinction is particularly useful when aggregating ticket IDs, where DCOUNT ensures each ticket is counted only once, whereas COUNT might count a ticket multiple times if it appears more than once in the dataset. For more details, you can refer to the originalZendesk article.
You should use D_COUNT when you need to count only unique items in your dataset. This is particularly useful if you expect an item, like a ticket ID, to appear multiple times and you want to ensure it's only counted once. For instance, if you're…
In Zendesk reports, COUNT and D_COUNT are aggregated within each cell when attributes are placed in rows or columns, rather than for the report as a whole. For example, if you have tags like 'Cat', 'Dog', and 'Bird' across different tickets, COUNT…
In most cases, using COUNT or DCOUNT for rated satisfaction tickets in Zendesk Explore won't make a difference, as both will count the number of ticket IDs. However, if you're using a dataset like Ticket Updates and calculated metrics, DCOUNT…
D_COUNT is often the default metric aggregator in Zendesk Explore because it provides a unique count of items, which is generally more useful for accurate reporting. For example, when counting the total number of tickets an agent has updated with a…