vb.net barcode scanner source code Figure 5-36 Sort fly-out menu in Microsoft Office

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Figure 5-36 Sort fly-out menu
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Prac tical PowerPivot & DAX Formulas for Excel 2010
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You ll also need a couple of calculated columns that have been used in a few chapters in this book These are the Year column in the Orders table and the Sales Amount column in the Order Details table As a reminder, their respective DAX formulas are:
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=YEAR(Orders[OrderDate]) ='Order Details'[Quantity] * 'Order Details'[UnitPrice]
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There are various incarnations of Northwind, so your results may differ from mine That s not too important; what is important is to see how to implement some real BI So, here are the step-by-step instructions:
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Add Year (from Orders) to Column Labels and add Country (from Customers) to Row Labels Add Sales Amount (from Order Details) to Values Right-click its entry in Values and choose Edit Measure In the Measure Settings dialog, change the measure s name from Sum of Sales Amount to Sales Amount Drag Sales Amount, again, from the Order Details table to Values and position it below the first entry Right-click and choose Edit Measure Call this second entry Calculation Your PowerPivot Field List should look like Figure 5-37, and your pivot table like Figure 5-38
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Figure 5-37 PowerPivot Field List
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C h a p t e r 5 : P i v o t Ta b l e s a n d P i v o t C h a r t s : O v e r v i e w
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Figure 5-38 Pivot table
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Right-click on any value in the Calculation column in the pivot table This opens the data area context menu From the menu, choose Show Values As to show its fly-out menu This menu is shown in Figure 5-39 From the fly-out, choose % of Grand Total The result is shown in Figure 5-40; the screenshot does not show all of the results According to my version of Northwind, Germany was a pretty good market in 1997 Repeat the previous two steps, but this time, choose % of Parent Row Total Figure 5-41 shows the result The USA was the top market in 1996, being responsible for nearly a fifth of all sales Please note that the Grand Total row at the bottom is showing 100% This time, try % Difference From Unlike the previous two examples, this one has an ellipsis and opens a dialog, called Show Values As The dialog is shown in Figure 5-42
Prac tical PowerPivot & DAX Formulas for Excel 2010
Figure 5-39 Show Values As fly-out menu
Figure 5-40 % of Grand Total
C h a p t e r 5 : P i v o t Ta b l e s a n d P i v o t C h a r t s : O v e r v i e w
Figure 5-41 % of Parent Row Total
In this dialog, select Year as the Base Field, and (previous) as the Base Item, before clicking OK My result is shown in Figure 5-43 The result of the calculation for 1996 is blank as there were no sales in the previous year, 1995 Sales in Denmark showed a dramatic increase from 1996 to 1997
Figure 5-42 Show Values As dialog
Prac tical PowerPivot & DAX Formulas for Excel 2010
Figure 5-43 % Difference From
Often, you may want to see running totals This next example may prove quite useful From the fly-out menu, choose Running Total In You can right-click on any value for Calculation, including blanks Once again, you ll see the Show Values As dialog, but, this time, there is only one setting Make Year the Base Field, before clicking OK The result is shown in Figure 5-44 The running total for Argentina in 1996 is zero, as its sales were blank that year In general, if it s a numeric calculation, blanks are treated as zeros 10 Let s have a look at one final example This time, choose Rank Largest to Smallest In the Show Values As dialog, confirm that Country is the Base Field, and click OK The result is shown in Figure 5-45 Is our sales team doing well in Sweden It s climbed from number 10 to 8 to 5, in just two years! Hopefully, these few examples demonstrate a little of the tremendous BI potential of pivot tables There are, perhaps, two observations to make One, you are not limited
C h a p t e r 5 : P i v o t Ta b l e s a n d P i v o t C h a r t s : O v e r v i e w
Figure 5-44 Running Total In
to just the one calculation at a time If you want more than one, simply add the relevant column or measure more times to the Values drop-zone, and perform a different calculation on each one Two, if a pivot table has so many possibilities, why do we need DAX If these examples are BI, calculations based on DAX formulas are BI on steroids For example, if your sales amounts were in different currencies, you could apply a conversion factor, based on the country name, to convert sales into a common currency before ranking
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