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=SUM('Order Details'[Sales Amount]) =CALCULATE(SUM('Order Details'[Sales Amount]),ALL(Products)) =SUM('Order Details'[Sales Amount])/ CALCULATE(SUM('Order Details'[Sales Amount]),ALL(Products))
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This time, the Category filter is ignored in the denominator, as it s part of the Products table the table parameter in the ALL() function The Year slicer, however, does affect the denominator In the result, Buchanan s sales of Beverages were nearly 18 percent of his sales of all categories The ALL() function is invaluable for working out percentage of parent or percentage of total The figures for each employee in the denominator are different here, as the employee is not part of the Products table
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ALL() 5/7
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In these examples, there are two ALL() functions Each takes a different table as a parameter ALL() is a Filter function The examples are measures Your figures may differ if you have a different release of Northwind from the one used here
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=SUM('Order Details'[Sales Amount]) =CALCULATE(SUM('Order Details'[Sales Amount]),ALL(Products),ALL(Orders)) =SUM('Order Details'[Sales Amount])/ CALCULATE(SUM('Order Details'[Sales Amount]),ALL(Products),ALL(Orders))
Result
Analysis
Neither of the two slicers has any effect on the denominator Indeed, the employee context is ignored too, as the employee is part of the Orders table The denominator is always going to be the same However, the year, category, and employee all dictate the context of the numerator This is how to show a percentage of the grand total Buchanan s sales of Beverages in 1998 were about 011 percent of the total sales of all categories by all employees for all years
ALL() 6/7
This is an important variation on the ALL() function There is only the single ALL() here, but it has the table that contains the source measure as one of its columns ALL() is a Filter function The examples are measures Your figures may differ if you have a different release of Northwind from the one used here
C h a p te r 6 : Fu n d a m e n t a l Fu n c t i o n s
Syntax
=SUM('Order Details'[Sales Amount]) =CALCULATE(SUM('Order Details'[Sales Amount]),ALL('Order Details')) =SUM('Order Details'[Sales Amount])/ CALCULATE(SUM('Order Details'[Sales Amount]),ALL('Order Details'))
Result
Analysis
Superficially, the result is identical to those in the previous examples If you dig deeper, there is a fundamental difference The previous example ignored any context on the Orders and the Products tables However, you might add a column from another table (to a slicer or to Report Filter, Column Labels, or Row Labels), and that could change the filter context Our example here will ignore any filters on Sales Amount, which is part of the Order Details table Such an approach can give the percentage of the grand total, no matter how the end user adds table columns to the pivot table and slices and filters Unfortunately, we have run out of tables so with Northwind it s difficult to prove! If you revert to the previous example and maybe filter on customer, it would have no effect as the customer is part of the Orders table (as the CustomerID foreign key) The same argument applies to the Categories table; there is a foreign key of
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CategoryID in the Products table Maybe you might want to adapt this example and the previous one to your own data assuming you have more tables than we have here
ALL() 7/7
To demonstrate these formulas, you may want to add a ProductName slicer (the column is in the Products table) The ALL() function now has a column, rather than a table, parameter ALL() is a Filter function The examples are measures Your figures may differ if you have a different release of Northwind from the one used here
Syntax
=SUM('Order Details'[Sales Amount]) =CALCULATE(SUM('Order Details'[Sales Amount]), ALL(Products[ProductName])) =SUM('Order Details'[Sales Amount])/ CALCULATE(SUM('Order Details'[Sales Amount]),ALL(Products[ProductName]))
Result
C h a p te r 6 : Fu n d a m e n t a l Fu n c t i o n s
Analysis
There are a lot of interesting things going on here The Category and ProductName slicers are cascading the selection in the former dictates the products shown in the latter If you select a product first, it automatically selects the right category and makes the category the first one in the Category slicer You can control this behavior in the Slicer Settings dialog If you then select a different category, you end up with an empty pivot table as there is no relationship between the product and an inappropriate category you have to remove the filter in the products slicer From a DAX perspective, the important change is the column parameter to the ALL() function The Category slicer alters the denominator; the ProductName slicer does not The SetFilter argument is saying, implement all filters except those on product name The user can select a product category and the figures in the pivot table will be updated, both numerator and denominator When the user selects a product, only the numerator gets updated This technique is handy for showing percentage of parent In 1997, Buchanan s sales of Chai were about 89 percent of his sales of all Beverages
ALLEXCEPT() 1/2
The ALLEXCEPT() function is another function that returns a table and can be used as a SetFilter argument for the CALCULATE() function Its own parameters are a table name followed by one or more column names Before we look at ALLEXCEPT(), here are three formulas for a numerator, denominator, and a numerator divided by a denominator ALLEXCEPT() is a Filter function The examples are measures Your figures may differ if you have a different release of Northwind from the one used here
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