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This section considers some classic BI solutions The ones examined are percentage of all, percentage of a row or column total, percentage of parent, a measure customized for a row or column context, changes over time, a moving average, and two forms of a running total You can build a lot of these by using the pivot table GUI, but a DAX solution gives you a lot more control over the filter context
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Percentage of All
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Our starting point is shown in Figure 12-17 It s using the Northwind PowerPivot model (Category, ProductName, Year, and Quantity)
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12: A Few Ideas: PowerPivot and DAX Solutions
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Figure 12-17 A Northwind pivot table
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To work out the percentage of all, add a new measure to the Order Details table The formula is:
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=SUM('Order Details'[Quantity])/ CALCULATE(SUM('Order Details'[Quantity]),ALL('Order Details'))
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This returns the percentage of all because the filter context for the denominator is always the total quantity ALL('Order Details') The result is shown in Figure 12-18; the figures are formatted as percentages (right-click, Number Format)
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Percentage of Column or Row Total
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Figure 12-19 shows the addition of a percentage of column total measure The DAX formula for this is:
=SUM('Order Details'[Quantity])/ CALCULATE(SUM('Order Details'[Quantity]),ALL(Products))
This uses ALL(Products) rather than ALL('Order Details')
Prac tical PowerPivot & DAX Formulas for Excel 2010
Figure 12-18 Percentage of all
Figure 12-19 Percentage of column
12: A Few Ideas: PowerPivot and DAX Solutions
Percentage of Parent
This time, a new measure has been added with the following formula:
=SUM('Order Details'[Quantity])/ CALCULATE(SUM('Order Details'[Quantity]), ALLEXCEPT(Products,Products[Category]))
Figure 12-20 shows this new measure The filter context for the denominator is now the product category
Customizing Measures for Each Row or Column
Often, you will want a value in the data area to behave differently depending upon the current row or column filter context Suppose, for example, that all sales are recorded in US dollars apart from the UK, where sales are recorded in pounds sterling You may
Figure 12-20 Percentage of parent
Prac tical PowerPivot & DAX Formulas for Excel 2010
Figure 12-21 A measure customized for rows
want to see the dollar value of UK sales Figure 12-21 shows the result of adding the following measure to the Order Details table, called DollarSales, with Country from the Customers table on the rows:
=IF(COUNTROWS(VALUES(Customers[Country]))=1, IF(VALUES(Customers[Country])="UK", SUM('Order Details'[Sales Amount]) * 15, SUM('Order Details'[Sales Amount])), SUM('Order Details'[Sales Amount]))
Please note that DollarSales is different from Sales (=SUM('Order Details' [Sales Amount])) for the UK, and uses an exchange rate of 15 UK pounds for one US dollar The IF(COUNTROWS(VALUES())) construct is necessary; otherwise, the Grand Total row would throw an error This is because VALUES() returns a table of more than one row for Grand Total, and the IF() test requires a single row
12: A Few Ideas: PowerPivot and DAX Solutions
Changes over Time
Another classic BI requirement is to show changes over time For example, you may wish to see increases and decreases in sales from one year to the next The DAX Date and Time functions are particularly useful in order to achieve such results Some of these functions require contiguous dates Without contiguous dates, functions, such as DATEADD() and SAMEPERIODLASTYEAR(), will either result in an error or produce nonintuitive results The example here uses ContosoRetailDW, as Northwind lacks contiguous dates You will need the DimDate, DimProduct, and FactSales tables Make sure that FactSales is related to both DimDate (on DateKey) and DimProduct (on ProductKey) Add SalesAmount from FactSales to the Values drop-zone Add CalendarYear from DimDate to Column Labels and BrandName from DimProduct to Row Labels Interestingly, you will see that Adventure Works and Northwind supply products to Contoso! The example that follows uses DATEADD() to retrieve sales from the previous year and then compares the value to the current year to ascertain the change in sales over time You could also try PARALLELPERIOD(), if you wish Here is the DAX to work out a change in sales:
=SUM(FactSales[SalesAmount])CALCULATE(SUM(FactSales[SalesAmount]),DATEADD(DimDate[DateKey],-1,YEAR))
Moving Average
This example also uses ContosoRetailDW The rows are from the DateKey in the DimDate table, and the first column of values is the SalesAmount column from the FactSales table Figure 12-22 shows the result of a moving average measure The formula for the measure is:
=CALCULATE(SUM(FactSales[SalesAmount]),DATESBETWEEN(DimDate[Datekey], FIRSTDATE(DATEADD(DimDate[Datekey],-2,DAY)), LASTDATE(DimDate[Datekey])))/3
This is a three-day moving average The divisor is 3, yet DATEADD() uses -2 that s going to return three dates including the current date You can get rid of the first two entries by testing for blanks Northwind is not really suitable here as it lacks contiguous dates
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