# An Introduction to Excel Pivot Tables

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1 An Introduction to Excel Pivot Tables EXCEL REVIEW

2 This brief introduction to Excel Pivot Tables addresses the English version of MS Excel Microsoft revised the Pivot Tables feature with the 2000 version but most of the changes were cosmetic. Paula Ecklund Spring 2001

3 Pivot Table Introduction Microsoft introduced Pivot Tables into Excel with version 5. Pivot Tables replaced Excel s older cross-tabulation feature. A Pivot Table lets you display the data contained in a column of an Excel list (database) by means of subtotals (or other calculations) that are defined by another column in the same list. The other calculations might be averages, counts, percentages, standard deviations, and so on. Why organize list data into a Pivot Table? Three key reasons for organizing data into a Pivot Table are: To summarize the data contained in a lengthy list into a compact format To find relationships within the data that are otherwise hard to see because of the amount of detail To organize the data into a format that s easy to chart Below is a simple example of how putting data in a Pivot Table can be useful. Region Year Product Units Sold Sum of Units Sold Southeast 1997 Brie 63 Region Product Total Northwest 1998 Gouda 151 Northeast Brie 110 Southwest 1998 Brie 87 Gouda 128 Northeast 1998 Gouda 128 Northwest Brie 137 Southeast 1997 Gouda 72 Gouda 151 Northeast 1998 Brie 110 Southeast Brie 63 Northwest 1997 Brie 137 Gouda 72 Southeast 1998 Gouda 43 Southwest Brie 87 Northwest 1997 Brie 108 Grand Total 748 Northwest 1998 Gouda 49 Southwest 1997 Brie 100 Northeast 1997 Gouda 39 At left in the spreadsheet illustration above is a simple list, or Excel database. Even looking at this simple, short list it s difficult to discern patterns in the data. For example, it takes a bit of study to see that the number of Units Sold in the Northeast region is much greater than the number of Units Sold for the Southwest region. Or to find out that Gouda outsells Brie in the Northwest. Questions of this type that you might have about the data can be answered, but only with some effort. By contrast, the Pivot Table at the right simplifies and summarizes the data to make relationships and patterns obvious. And, if you had much more data in the list at left (perhaps with many additional entries for each region), you could still achieve a condensed Pivot Table summary the same size as the one at right. The Pivot Table also allows you to include or exclude whatever list data you like. For example, I ve excluded the year information in the sample Pivot Table above. I could easily add it back in. 1

4 You can easily chart the data organized into a Pivot Table, while to chart the data in the list at left you d first need to restructure the data and obtain the sum for each region. The Pivot Table simplifies the process because it obtains subtotals automatically and puts them in a range you can immediately use for charting Brie Gouda Using the Chart Wizard, it s easy to get a summary, graphical view of your data using the Pivot Table as your tool to organize and summarize the data. 0 Northeast Northwest Southeast Southwest What s Required to Construct a Pivot Table? To create a Pivot Table you need to identify these two elements in your data: a data field, where the data field is the variable you want to summarize a row and/or column field where the row and/or column fields are the variables that will control the data summary To create the Pivot Table, invoke the Pivot Table Wizard with the menu commands Data, Pivot Table and Pivot Chart Report. The Pivot Table Wizard leads you through three steps: Step 1: Allows you to specify where your data is located and whether you want a chart as well as a table. Most commonly you ll get your data from an Excel list that s part of the current worksheet. 2

5 Step 2: Identifies the list range. If your have the insertion point anywhere in the list when you start the Wizard, Excel defines the list range automatically. Step 3: Creates the Pivot Table using its best guess as to layout. Users of the previous version of the Excel Pivot Table will recall a step before this one that permits the user to determine the initial Pivot Table layout. That step is still available if one chooses the Layout button on Step 3 before clicking Finish. (Of course, you can return to the layout view at any time to make changes while working with the completed Pivot Table.) If you choose the Layout button in Step 3 or invoke that view while working with the Pivot Table, you get a dialog that looks like this: Drag field buttons at right (representing variables from the list) to the layout diagram at left. You need not use all the field buttons. 3

6 For example, I ve used only four of the six possible field buttons in the layout at right. You can include multiple field buttons in each of the layout locations. You can choose to locate your new Pivot Table on the sheet with the Excel list or on a new worksheet. Once you ve created your Pivot Table, you can modify it by using the buttons on the Pivot Table toolbar that automatically displays. Two of the buttons are especially key: Return to layout. Edit the selected Pivot Table field. Although you may want to return to the Wizard layout view, you can drag and drop items onto and off of the Pivot Table and move them around in the layout by just using the mouse. Note that all the field buttons are visible on the toolbar to allow easy dragging onto the Pivot Table, should you want to add more detail. A drop-down menu (with some redundant options) is available from the first Pivot Table toolbar button on the left. 4

7 Pivot Table Row and Column Fields A row field A row field in a Pivot Table is a variable that takes on different values. For example, a row field might be Manufacturer and its values might be Schwinn, Cannondale, and Omega. The values a variable takes on are sometimes referred to as items. In the example below, for each value of the variable Manufacturer, the Pivot Table displays a summary of the chosen data field in an adjoining column. The data field in this example is Annual Sales and the summary function is sum. Sum of Annual Sales Manufacturer Total Cannondale \$823 Omega \$435 Schwinn \$500 Grand Total \$1,758 Notice that the Pivot Table uses the label Sum of Annual Sales to identify not only the data field (Annual Sales) but also the default summary operation (sum). A column field A Pivot Table column field works like a row field. A column field might be the variable Year with values ranging from 1995 to Data beneath each column in the Pivot Table is associated with the year at the head of the column. Manufacturer Year Annual Sales Sum of Annual Year Schwinn 1995 \$500 Manufacturer Grand Total Cannondale 1995 \$823 Cannondale Omega 1995 \$435 Omega Schwinn 1996 \$523 Schwinn Cannondale 1996 \$840 Grand Total Omega 1996 \$420 Schwinn 1997 \$550 Cannondale 1997 \$855 Omega 1997 \$418 Schwinn 1998 \$585 Cannondale 1998 \$889 Omega 1998 \$400 The basic effect of row and column fields in a Pivot Table is that each value or item that the field takes on defines a different row or column. So if a list has a row field that takes on three items (Schwinn, Cannondale, Omega) and a column field that takes on four 5

8 items (1995, 1996, 1997, 1998), the Pivot Table has three rows and four columns, and therefore twelve summary cells (exclusive of the cells that hold Grand Totals and labels). When you define a Pivot Table you must identify a data field, or the variable to summarize or Excel displays an error. By contrast, however, you need not define either a row or a column field. In this case, you won t get an error message but you won t get a very meaningful result either. Without a row and/or column control, Excel will return a simple table since it will have no way to summarize the data. If you specify a row field only, your Pivot Table will have one column that contains the values of the row field and another column to its right that contains the corresponding summary values for the data field. If you specify a column field only, your Pivot Table will have a top row that holds the values of the column field and a row beneath that holds the corresponding summary values of the data field. Sum of Annual Sales Manufacturer Total Cannondale 3407 Omega 1673 Schwinn 2158 Grand Total 7238 Row-only Pivot Table Sum of Annual Sales Year Grand Total Total Column-only Pivot Table The Pivot Table gets its name because it s easy to modify, or pivot, the positions of the Pivot Table fields. Imagine a point at the upper left-hand corner of the Pivot Table as the pivot point. You can drag and drop a row field up and to the right, making it a column field. And you can drag and drop a column field down and to the left, making it a row field. As mentioned earlier, although you can return to the Wizard s layout view to accomplish this layout change, it s easier to do it on the fly without using the Wizard. If you have more than two variables in your list that you want to use as row or column fields you can define subsidiary or inner row or column fields. Sum of Units Sold Region Product Total Northeast Brie 110 Gouda 128 Northwest Brie 137 Gouda 151 Southeast Brie 63 Gouda 72 Southwest Brie 87 Grand Total 748 In the example at left, Product is considered the inner row field and Region is considered the outer row field. The effect of an inner field is to add another level of detail to the Pivot Table. Within one category, or value (such as Northeast) of the outer field, there are two inner field values (Brie and Gouda). 6

9 The data field is first summarized by the value of the outer row field. Within that firstlevel summary, the data field is further summarized by the corresponding values of the inner row field. Inner and outer column fields work the same way as inner and outer row fields. The Pivot Table Data Field The data field is the variable that the Pivot Table summarizes. For each combination of values in the row and column fields, the data field takes on a different value and this value appears in the Pivot Table s cells. There are many summarizing calculations available in a Pivot Table. Most often the data to be summarized is numeric; the default summary for numeric data is a sum. For example, your Pivot Table might sum Units Sold. If the data to be summarized is text data, not numeric, the default summary must be a count. For example, your Pivot Table might count of the number of people working in a department. Excel provides a variety of ways to summarize data, including Average, Max, Min, Product, StdDev, and so on. In addition, you can apply certain custom calculations to the data field, including running totals, percent of row, percent of column, and so on. If you need some calculation not provided within the Pivot Table, you can perform that calculation outside the context of the Pivot Table. Then you can include the calculated variable in your list when you start the Pivot Table Wizard. The Pivot Table also has an option to create a calculated field and a calculated item. To explore these options, check Excel s Pivot Table online help. The Pivot Table Page Field The page field operates like the row and column fields but provides a third dimension to your data. It allows you to add another variable to your Pivot Table without necessarily viewing all its values at the same time. In the example at right, the page field is Year and is displayed in this illustration showing the three drop-down choices: (All), 1997, or

10 You can choose to view (All) year values in the Pivot Table, or you can select any year individually and see just that year s data displayed. To create a paged Pivot Table, during the Pivot Table Wizard layout step, drag a button ( Year in this illustration) to the Page element of the layout. The alternative to a paged Pivot Table is to include the Year variable as a row or column variable. In the Pivot Table example at right, Year is a column variable. Because this Pivot Table layout is less summarized than if Year were a page value, it s a bit harder to read. Sum of Units Sold Year Region Product Grand Total Northeast Brie Gouda Northeast Total Northwest Brie Gouda Northwest Total Southeast Brie Gouda Southeast Total Southwest Brie Southwest Total Grand Total Note that if you include a page field in your Pivot Table you can choose to display the Pivot Table pages on separate worksheets. Click the Show Pages button on the drop-down of the Pivot Table toolbar button to have Excel automatically replicate each page s data on a separate worksheet. 8

11 Determining Pivot Table Layout: Discrete vs. Continuous Variables A discrete variable generally has a relatively small number of unique values. Typically, these unique values are different names. Examples of discrete variables are department names, model names, or customer names. Discrete values are most suitable as row and column variables in a Pivot Table, although they can also be used as data fields. If you use a discrete variable as a data field, however, the Pivot Table will only be able to display a summary by count. A continuous variable can take on a large range of values. A variable is termed continuous when its values represent more or less of some quantity. Examples of continuous variables are profit margin, units sold, or daily precipitation. It s generally not a good idea to use a continuous variable as a row or column variable in a Pivot Table because such a variable can take on so many values that the Pivot Table would likely become impossibly large. For example, if you re analyzing income for 300 firms and you use firm income as a column variable in your Pivot Table, you d be likely to run out of Excel worksheet display space. Normally, you d use a continuous variable as the data field in a Pivot Table in order to see the sum or average or other summary calculation of its values for different levels of discrete variables. Grouping is one method available to reduce the amount of data displayed. Dates used as row or column headers, for example, are often grouped for this reason. Formatting Data in the Pivot Table No matter what the format of the data that s the source of your Pivot Table, the initial format of the data in a Pivot Table is General. After you ve created a Pivot Table you can use Excel s normal formatting commands to format cells. To retain formatting when you refresh the data in a PivotTable or change the layout, do the following: = = Click a cell in the PivotTable, and on the Pivot Table toolbar choose the Pivot Table button, then Table Options. In the Format options part of the dialog that displays, make sure the Preserve formatting check box is selected. Then, before you select the Pivot Table data you want to format, make sure that Pivot Table Enable Selection is activated (Choose the Pivot Table button on the toolbar, then Select, Enable Selection). Without the steps above, if you make any change to your Pivot Table after you ve applied formatting (even if the change is only to refresh the data), your formatting is lost. A good method for formatting a Pivot Table data field is to use the formatting options built into the Pivot Table itself. To do this: 1. Select any cell in the Pivot Table that represents its data field. 2. Click the Pivot Table Field button on the Pivot Table toolbar. The Pivot Table Field dialog displays. 3. Click the Number button on this dialog to open the Format Cells dialog. 9

12 4. Choose one of the available formats, click OK to close the Format Cells dialog and then OK again to close the Pivot Table Field dialog. If you format your Pivot Table in this way, the formatting you select is retained even if you change the layout of the Pivot Table. This formatting is not available for row, column, or page fields, however. If you want to reformat the entire Pivot Table, consider using Excel s Format, Autoformat commands, particularly the table layouts. Any autoformat choice you make remains with your Pivot Table even if you refresh the data, pivot the table, or add or remove a field. 10

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