Date of publication: 2017-07-08 18:08
If there are errors in the source data, the pivot table will display an error for that data, except as noted below, for Count and Count Nums.
In the screen shot below, you can see example pivot table source data, and the worksheet function is calculating the standard deviation for each product type. For the File Folders, there is a large difference between the quantities sold, and the standard deviation is high -- . For Paper, the difference in quantity is much smaller, and the standard deviation is low -- .
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The results of the Product function may be very large numbers and default to a Scientific number format. You can format the numbers as Number format, instead of Scientific format.
When you add a numerical field to the pivot table's Values area, Sum or Count will be the default summary function. The default function can't be changed -- it is applied based on the field's contents:
The Var and Varp summary functions work like the and worksheet functions, to calculate the variance for the underlying data in the Values area, and variance is a measure of how widely the values vary from the average of the values.
However, the totals calculated on the source data, not on the values showing in the pivot table. For example, if a field uses the MAX summary function, and the subtotal shows the AVERAGE, it will be an average from the values in the source data, not an average of the MAX values. (To calculate the Average of the Max values, you could use formulas outside of the pivot table, or create a new pivot table, based on the original one.)
This would represent a common behavior we 8767 ve come to know with labels, where definining the for attribute focuses the input with the same 8775 id 8776 .