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The template enables you to make an Skip to content. The Data Model is transparent in Excel, but you can view and modify it directly using the Power Pivot add-in. The Data Model is discussed in more detail later in this tutorial. Once the data is imported, a PivotTable is created using the imported tables. Exploring imported data is easy using a PivotTable. In a PivotTable, you drag fields similar to columns in Excel from tables like the tables you just imported from the Access database into different areas of the PivotTable to adjust how it presents your data.
It might take some experimenting to determine which area a field should be dragged to. You can drag as many or few fields from your tables as you like, until the PivotTable presents your data how you want to see it.
Feel free to explore by dragging fields into different areas of the PivotTable; the underlying data is not affected when you arrange fields in a PivotTable. In PivotTable Fields , expand the Medals table by clicking the arrow beside it. NOC stands for National Olympic Committees, which is the organizational unit for a country or region. In the PivotTable Fields list, where the Disciplines table is expanded, hover over its Discipline field and a dropdown arrow appears to the right of the field.
Click OK. Type 90 in the last field on the right. With little effort, you now have a basic PivotTable that includes fields from three different tables.
What made this task so simple were the pre-existing relationships among the tables. Because table relationships existed in the source database, and because you imported all the tables in a single operation, Excel could recreate those table relationships in its Data Model. But what if your data originates from different sources, or is imported at a later time?
Typically, you can create relationships with new data based on matching columns. In the next step, you import additional tables, and learn how to create new relationships. Relationships let you analyze collections of data in Excel, and create interesting and immersive visualizations from the data you import.
Browse to the folder that contains the downloaded sample data files, and open OlympicSports. Select and copy the data in Sheet1. Close the OlympicSports. On the Sports worksheet, place your cursor in cell A1 and paste the data. Since the data has headers, select My table has headers in the Create Table window that appears, as shown here.
Formatting the data as a table has many advantages. You can assign a name to a table, which makes it easy to identify. You can also establish relationships between tables, enabling exploration and analysis in PivotTables, Power Pivot, and Power View. Name the table. The workbook looks like the following screen. In the following steps, you add the Olympic host cities from a table.
In Excel, place your cursor in cell A1 of the Hosts worksheet and paste the data. Format the data as a table. Since the data has headers, select My table has headers in the Create Table window that appears. Now that you have an Excel workbook with tables, you can create relationships between them. Creating relationships between tables lets you mash up the data from the two tables.
You can immediately begin using fields in your PivotTable from the imported tables. In the following steps, you learn how to create a relationship between data you imported from different sources.
On Sheet1 , at the top of PivotTable Fields , click All to view the complete list of available tables, as shown in the following screen.
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