vb.net barcode scanner source code 4: DAX: Overview in Microsoft Office

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4: DAX: Overview
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Figure 4-13 Year filter context 1/3
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Figure 4-14 Country filter context 1/3
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Prac tical PowerPivot & DAX Formulas for Excel 2010
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Figure 4-15 Year and Country filter context 1/3 This is the core of DAX If you understand what s happening, you understand DAX The ALL() function, in the preceding example, is acting as the filter or SetFilter parameter of the CALCULATE() function ALL() is overriding the current filter context The filter parameter is optional and you can have more than one Here, it s telling the pivot table to ignore any filter on country (for example, Austria) that the user may choose It s always going to show the figure for all countries thanks to the ALL() function Why might this be very useful There are a number of important reasons For example, you can have highly customized and flexible measures that display exactly what you want Or, you might want to control the scope of the end user so that, even if they add countries and filter on a particular country, the figures they see are still for all countries You are programmatically overriding the user actions in the GUI Or you might have measures based on this measure, and those new measures require the data for all countries Let s experiment Change the formula as follows:
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=CALCULATE(SUM('Order Details'[Quantity]),ALL(Orders[Year]))
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Now as you filter, the Year slicer is totally ignored, but the Country filter is
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operative again Some of the possible results are shown in Figure 4-16 (No filter), Figure 4-17 (Year filter), Figure 4-18 (Country filter), and Figure 4-19 (Year and Country filter) Take some time to digest the figures and understand what is happening
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4: DAX: Overview
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Figure 4-16 No filter context 2/3
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Figure 4-17 Year filter context 2/3
Prac tical PowerPivot & DAX Formulas for Excel 2010
Figure 4-18 Country filter context 2/3
Figure 4-19 Year and Country filter context 2/3
4: DAX: Overview
Figure 4-20 No filter context 3/3
10 And here s yet another change to the formula (some results are shown in Figure 4-20
(No filter), Figure 4-21 (Year filter), Figure 4-22 (Country filter), and Figure 4-23 (Year and Country filter)):
=CALCULATE(SUM('Order Details'[Quantity]), ALL(Orders[Year]),ALL(Customers[Country]))
You have removed the filter context for both Year and Country No matter
which years and/or countries are chosen, the totals remain the same The ALL() function is repeated for both slicers/filters However, you can have many slicers You can also filter from Report Filter or from Column Labels or from Row Filters If you had ten possible filters, you would need to repeat the ALL() function ten times The next step shows a very convenient alternative 11 Change the formula as follows:
=CALCULATE(SUM('Order Details'[Quantity]), ALLEXCEPT('Order Details',Products[Category]))
Try slicing on 1996 and/or Austria again The results are unchanged from the previous step The ALLEXCEPT() function is causing the measure to ignore all filters on the Order Details table (including the Quantity) except any filter based on product category
Prac tical PowerPivot & DAX Formulas for Excel 2010
Figure 4-21 Year filter context 3/3
Figure 4-22 Country filter context 3/3
4: DAX: Overview
Figure 4-23 Year and Country filter context 3/3 12 This final step is given with a little less guidance Try each of the following five
formulas in turn and observe the totals in the pivot table as you slice/filter on 1996 and/or Austria:
=CALCULATE(SUM('Order Details'[Quantity]), FILTER(Orders,Orders[Year]=1996)) =CALCULATE(SUM('Order Details'[Quantity]),Orders[Year]=1996) =CALCULATE(SUM('Order Details'[Quantity]),Customers[Country]="Austria") =CALCULATE(SUM('Order Details'[Quantity]), Customers[Country]="Austria",Orders[Year]=1996) =CALCULATE(SUM('Order Details'[Quantity]), Customers[Country]="Austria" || Customers[Country]="Mexico", Orders[Year]=1996)
The first and second examples superficially produce the same result until you slice on 1997 the choice is yours (FILTER() returns a fixed table) The second example is more efficient than the first as it is evaluated only for the cells in the current context; FILTER() evaluates against the whole Orders table The fifth example includes Mexico as well as Austria The CALCULATE() function, in our examples, has been using the SUM() function on the Quantity You could write the SUM() function as a separate measure and base CALCULATE() on this new measure In that case, the SUM() function would be
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