CountIf in BeastMode or ETL ?
Good Morning Community
I have a 5M+ row dataset where I need to develop a "COUNTIF" function based on a 'Category" column (image enclosed/table below). Any help would be appreciate
Data contains too many distinct categories to list individually in beast-mode by name - kindly assist.
| Date | Price | Category | Report | COUNTIF GOAL |
| 2019-Feb | 10,000.00 | Type 89 | Report 32 | 5 |
| 2019-Feb | 10,000.00 | Type 89 | Report 107 | 5 |
| 2019-Feb | 10,000.00 | Type 89 | Report 17 | 5 |
| 2019-Feb | 10,000.00 | Type 89 | Report 53 | 5 |
| 2019-Feb | 10,000.00 | Type 89 | Report 19 | 5 |
Comments
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Just to clarify, Are you looking to check the Unique no. of reports under each category against the goal of 5?
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No, the goal is not dependent on unique report names - only the number of times the category (i.e. Type 89) occurs in the column.
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Try this beast mode:
COUNT(DISTINCT category)
This will give you a count of unique categories.
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tried this, the result shows row data only not the column data. i.e. Goal = 1 not 5
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Its most likely doing that because of the report component which is different it appears on each row.
If you sum the count(Distinct) it should give you the value of 5 that your looking for.
If I'm interpreting this correctly.
Randy
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