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CHAPTER 3 CALCULATIONS IN A PIVOT TABLE
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StDevp Like the STDEVP worksheet function, the StDevp summary function calculates the standard deviation for the entire population for the underlying data in the Values area. In Excel 2003, improvements were made to several statistical functions, including STDEV and STDEVP See . the previous StDev section for more information. Var Like the VAR worksheet function, the Var summary function calculates the variance for the underlying data in the Values area, and is the square of the standard deviation. If the count of items is one, a #DIV/0! error is displayed, because one is subtracted from the count when calculating the standard deviation. In Excel 2003, improvements were made to several statistical functions, including VAR and VARP. The Var and Varp summary functions have been improved when used in the interior of the PivotTable report, but not for grand totals for rows or columns. For more information, see the Microsoft Knowledge Base article Excel Statistical Functions: VAR and VARP Improvements and Pivot Tables, at http://support.microsoft.com/default.aspx kbid=829250. Varp The Varp summary function calculates the variance for the entire population for the underlying data in the Values area. In Excel 2003, improvements were made to several statistical functions, including VAR and VARP See the previous Var section for more information. . Errors in the Source Data The Count and Count Numbers functions handle errors as outlined earlier. For other summary functions, if errors are in the source data field, the first error encountered is displayed in the pivot table, and the total is not calculated. If subtotals, or row and column totals, are displayed, affected totals and subtotals display the error. For example, the source data shown in Figure 3-3, from the sample file OfficeSalesError.xlsx, has two errors for West Binder data a #REF! error and an #N/A error.
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Figure 3-3. Errors in the sample source data The first error, #REF!, appears in the pivot table, when West Binder TotalSales are summed (see Figure 3-4). If the dates in the source Excel table were sorted in descending order, the #N/A error would be listed first, and would appear in the pivot table.
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CHAPTER 3 CALCULATIONS IN A PIVOT TABLE
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Figure 3-4. The first error in the source Excel table appears in the pivot table.
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3.2. Using Summary Functions: Counting Blank Cells
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Problem
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The sales manager sent you a workbook with sales data, and blank cells are in the District column for some records. You want to show a count of the blank District cells in the pivot table, so you can let the sales manager know how many records are incomplete. You added the District field to the pivot table s Row Labels area, and another copy of the District field in the Values area, as Count of District. However, no count is showing for the blank districts (see Figure 3-5). This problem is based on the OfficeSales.xlsx sample file.
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Figure 3-5. Blank cells are not counted in the Values area.
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The Count function doesn t count blank cells, so when you add the District field to the Values area, it has nothing to count for those blank records. Add a different field to the Values area, and use it for the count. For example, if the Units column in the source data has a value in every row, add Count of Units to the Values area (see Figure 3-6). With District in the Row Labels area, the count of blank Districts is calculated.
Figure 3-6. Use a different field to count blank cells.
CHAPTER 3 CALCULATIONS IN A PIVOT TABLE
3.3. Using Custom Calculations: Difference From
Problem
Every morning, you download the regional sales data from your sales system. You d like to use the pivot table to calculate each day s change from the previous day, to obtain the daily sales figures for each region. In your pivot table, Date is in the Row Labels area, Region is in the Column Labels area, and Sum of Units is in the Values area, as shown in Figure 3-7. The example shown is from the RegionCalcs.xlsx workbook.