cabaragoya
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- Mar 8, 2023
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I have dataset similar to below. I would like to count Status by unique Product ID.

Once there is a confirmed status on any version in a Product ID, the Product ID should count as "Confirmed", even if there are other versions that are marked "Not Started" or "Pending". (For example, Product 1000, 1004, and 1006 should count as "Confirmed".)
Similarly, if there is not a "Confirmed" status, but there is a "Pending" status on any version within a Product ID, that product should count as "Pending", even if there are other versions that are "Not Started". (For example, Product 1002 should count as "Pending".)
Ideally, the count would end up looking similar to this table:

What formulas can I write in the table to count the Confirmed, Pending, and Not Started statuses as described?

Once there is a confirmed status on any version in a Product ID, the Product ID should count as "Confirmed", even if there are other versions that are marked "Not Started" or "Pending". (For example, Product 1000, 1004, and 1006 should count as "Confirmed".)
Similarly, if there is not a "Confirmed" status, but there is a "Pending" status on any version within a Product ID, that product should count as "Pending", even if there are other versions that are "Not Started". (For example, Product 1002 should count as "Pending".)
Ideally, the count would end up looking similar to this table:

What formulas can I write in the table to count the Confirmed, Pending, and Not Started statuses as described?