Excel slicer training1/2/2024 We chose a Combo chart with Sales as a Clustered Column chart, and % Total as a Line chart plotted on the Secondary axis. This will be important when it comes time to connect your PivotTables to Slicers and Timeline controls.Ĭlick anywhere in the first PivotTable and go to PivotTable Tools > Analyze > PivotChart > select a chart type. You can select each one, then go to PivotTable Tools > Analyze > enter a new name in the PivotTable Name box. Otherwise, Excel will name them PivotTable1, PivotTable2 and so on. Important: PivotTables can't overlap one another, so make sure that your design will allow enough space between them to allow for them to expand and contract as values are filtered, added or removed.Īt this point you might want to give your PivotTables meaningful names, so you know what they do. However, you might find that you need to place your PivotTables beneath each other if they can expand columns. For our example, these PivotTables can change rows, but not columns so we placed them on the same row with a blank column in between each one. Once you've created your master PivotTable, select it, then copy and paste it as many times as necessary to empty areas in the worksheet. See Sort data in a PivotTable or PivotChart for more details. In this case, we created a top-level summary of sales by product category, and sorted by the Sales field in descending order. For more details, see: Design the layout and format of a PivotTable. This PivotTable will be the basis for others, so you should spend some time making any necessary adjustments to style, report layout and general formatting now so you don’t have to do it multiple times. See Create a PivotTable to analyze worksheet data for more details.Īdd the PivotTable fields that you want, then format as desired. Select any cell within your data range, and go to Insert > PivotTable > New Worksheet. When you import from Access, the data will automatically be imported to a table. If it's not already, format your data as an Excel Table. For help with setting up a query, or if your data needs to be manipulated, see Get & Transform in Excel. Each row should represent an individual record or item. Verify your data is structured properly, with no missing rows or columns. We’ve already put this data into the Excel workbook for you, so there’s no need to worry if you don’t have Access. Once you’ve done that you’ll be able to access any of the queries included in the template. If you want to use it, you can open Access and go to File > New > Search for "Northwind" and create the template database. For this topic, we used the Sales Analysis query from the Northwind Traders template for Microsoft Access. You can copy and paste data directly into Excel, or you can set up a query from a data source. We also have an interactive Excel workbook that you can download and follow these steps on your own.ĭownload the Excel Dashboard tutorial workbook. Once your dashboard is created, we’ll show you how to share it with people by creating a Microsoft Group. This makes it very handy because you only need to create the dashboard report once.įor this example, we're going to create four PivotTables and charts from a single data source. In addition, you can quickly refresh your dashboard when you add or update data. Then we'll give users the ability to quickly filter the data the way they want with Slicers and a Timeline, which allow your PivotTables and charts to automatically expand and contract to display only the information that users want to see. In this topic, we’ll discuss how to use multiple PivotTables, PivotCharts and PivotTable tools to create a dynamic dashboard. In the past, Excel reporting often required you to generate multiple reports for different people or departments depending on their needs. Dashboards not only provide consolidated data views, but a self-service business intelligence opportunity, where users are able to filter the data to display just what’s important to them. A dashboard is a visual representation of key metrics that allow you to quickly view and analyze your data in one place.
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