Adding Data Types To PivotTables

Adding Data Types To PivotTables

Adding Data Types To PivotTables

Excel

Many business professionals consider PivotTables one of Excel’s most powerful features, if not its’ most powerful feature. Although not as widely used as PivotTables, Excel’s Data Types are coming into their own as a feature. Importantly, you can use Data Types to  incorporate “live” data into summaries and analyses, including those based on PivotTables. In this article, you will learn how to integrate data provided by Data Types into your PivotTables to elevate your Excel-based reports to even higher levels.

Understanding Data Types

When your computer is connected to the Internet, you can access Data Types to integrate external data into your Excel workbooks, analyses, and reports, including PivotTables. Specifically, the data available using Data Types includes geographic data, stock market data, and foreign currency exchange rate data. To access the power of Data Types, select a column of data in a range or table and click the Data Type you wish to use – Organization, Stocks, Currencies, or Geography

To illustrate, consider the table pictured in Figure 1. Next, you will notice a “map-like” icon (known as a “card”) to the left of each of the states’ names. Clicking on the card lets you view or link data to your spreadsheet. The type of data you can link from a card varies based on the Data Type in use.  For instance, creating a Stock data type facilitates linking information such as Current Price, Closing Price, and P/E Multiple.

Table with Data Types
Figure 1- Example Table With Geography Data Type Available

In the example presented, because the Data Type used is Geography, data such as Population, Number of Households, and Median Household Income are accessible. Notably, you can use the data you link from a card as you would any other data in Excel.

A Specific Example

To illustrate the power of Data Types used in PivotTables, let us click a card in the table pictured in Figure 1 and add Population and Median household income to the table, as shown in Figure 2.

Table Modified With The Addition Of Data From A Data Type
Figure 2 - Table Modified With The Addition Of Data From A Data Type

Next, with the two data fields added from the Data Type, let’s now use that data to create two user-defined calculations. The first calculation – Sales Per Person – is created by dividing Sales by Population. The second calculation uses Excel’s RANK function to identify the relative ranking of sales performance in each state.

Figure 3 - Completed Analysis Created With The Assistance Of Data Types

Summary

Undoubtedly, you could perform manual research to locate the population of each of the four states under consideration and the median household income of each state. However, by taking advantage of Excel’s Data Types feature, we completed the analysis quickly and easily. Further, because the data coming from the Data Types is linked to Excel – not copied and pasted  our analysis is dynamic in nature. Thus, as the data from the Data Type changes, it will update in Excel and so too will all the calculations.

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