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=CALCULATE(AVERAGE('Order Details'[Sales Amount])) =CALCULATE(AVERAGE('Order Details'[Sales Amount]), Employees[LastName] = "Davolio") =FORMAT([Num]/[Den],"Percent")
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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
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Analysis
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The denominator has a fixed context on employee name All other filters will affect the denominator, but it will always be for Davolio, no matter how you slice on Year or Category The result shows that her average sales were less than half of those of Buchanan for Beverages in 1996 FORMAT() is a Text function It converts a value (numeric or date, for instance) into a string and applies formatting Please note that, rather than repeat the first two formulas again in the third one, the measures have been referred to by name Like column names, measure names must be enclosed in square brackets Because a measure name must be unique within a PowerPivot model, there is no need to preface the measure name with a table name By having measures refer to other measures, you can cut down on the syntax involved There is also another shorthand that allows you to omit the CALCULATE() function altogether The following three measures give the same result but the second one is much shorter It is using the first measure as a function The parameter to the function (as it s a parameter, it has to be in parentheses) is the SetFilter argument of the CALCULATE() function The following three measures can effectively replace the measures that were originally used in this example:
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=CALCULATE(AVERAGE('Order Details'[Sales Amount])) =[Num](Employees[LastName] = "Davolio") =FORMAT([Num]/[Den],"Percent")
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CALCULATETABLE()
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CALCULATE() returns scalar values, while CALCULATETABLE() returns a table You can t display tables in calculated columns nor as measures in a pivot table As such, CALCULATETABLE() is used as an input into other functions that expect a table parameter The functions that take a table parameter include the X-functions The examples here use SUMX(), which adds together the values in the specified column in a table the table name must precede the column name in SUMX() CALCULATETABLE() is a Filter function The examples are calculated columns on the Categories table
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Syntax
=SUMX(RELATEDTABLE(Products),Products[UnitsInStock]) =SUMX(CALCULATETABLE(RELATEDTABLE(Products), Products[Discontinued]=FALSE),Products[UnitsInStock]) =Categories[CalculatedColumn1] - Categories[CalculatedColumn2]
Result
Analysis
CALCULATETABLE() appears in the second calculated column Like CALCULATE(), it can accept filter arguments The filter in the example restricts the returned rows to only those for products that aren t discontinued RELATEDTABLE() returns matching rows from a table that has a relationship to the current table In the Products table, there are a total of 559 units of Beverage products in stock Of these, 539 are for products that aren t discontinued The third column simply works out the difference between the two totals
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
DISTINCT()
Here there are three measures Two of them demonstrate possible uses of the DISTINCT() function The first measure doesn t include DISTINCT(), but is shown for comparison purposes DISTINCT() returns a table and, therefore, is used as input into other functions that accept a table as an argument DISTINCT() 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
=COUNTA((Orders[CustomerID])) =COUNTROWS(DISTINCT(Orders[CustomerID])) =CALCULATE(COUNTROWS(DISTINCT(Orders[CustomerID])),ALL(Orders[Year]))
Result
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Analysis
The first measure counts all of the values of CustomerID in the Orders table Because employees are on the rows, this count is filtered by employee The measure contains a COUNTA() function The second measure includes a COUNTROWS() function, which requires a table input DISTINCT() returns the table and counts the unique values of CustomerID it eliminates duplicates Again, it is filtered at the employee level In the third measure, any filter on year is overridden In the result, Buchanan had 11 customers in 1996 Of these, 10 were unique, and his total number of customers over all time is 29 If you subtract the second measure from the first, you can obtain the number of repeat customers COUNTA() and COUNTROWS() are discussed in the next chapter DISTINCT() is very similar to another function, VALUES(), except the latter may also return an Unknown member VALUES() is covered later in this chapter
EARLIER()
There are two functions, EARLIER() and EARLIEST(), that enable you to compare column values across rows in PowerPivot tables These functions have a number of applications For example, you might wish to rank each row by some particular value Or you may want to compare column values across rows for a particular product Both applications are shown in the two calculated columns in this example EARLIER() is a Filter function The examples are calculated columns on the Order Details table
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