Since we applied filters to the visualization, the exported data will export as filtered. For example, we had drilled down to the city level, but our export includes country data as well. The first row of our spreadsheet shows the filters that Power BI used when extracting the data.Īll the data used by the hierarchy is exported, not simply the data used for the current drill level for the visual.
Since we filtered out Atlanta, it isn't included in the results. In this example, our Excel export shows one total for each city. Your exported file is saved in your local Downloads folder. If you're using the Power BI app in Microsoft Teams, you may not receive the same prompts. When you select Export, your browser prompts you to save the file. csv file.įrom Export data, select Summarized data, either choose. In Power BI Desktop, you'll only have the option to export summarized data as a. In the Power BI service, since your visualization has an aggregate (you changed Count to average), you'll have two options:įor help understanding aggregates, see Aggregates in Power BI. Select the ellipsis in the upper-right corner of the visualization. Summarized data is available in the Power BI service as. For example, if you have a bar chart showing four bars, you'll get four rows of Excel data. If the visual has an aggregate, you'll export aggregated data. This type of export shows you only the data (columns and measures) that are being used to create the visual. Select the option for Summarized data if you want to export data for what you see in that visual. Now we're ready to try out both options for exporting data. Turn on drilling and drill down to the City level. In the Values well, select the arrow to the right of Discount Percent (it may say Count of Discount Percent), and choose Average.Īdd a filter to City, select all cities, and then remove Atlanta, GA.ĭrill down one level in the hierarchy. You may have to move Discount Percent into the Values well.Ĭhange the aggregation for Discount Percent from Count to Average. Create a stacked column chartįrom the Fields pane, select Location > Country/Region, Location > City, and Invoice > Discount Percent. Then follow the steps below to add an aggregation, hierarchy, and a visualization-level filter. To follow along, open the Procurement analysis sample report in the Power BI service in Editing view.
Your browser will prompt you to save the file. If you've filtered the visualization, then the. Select More actions (.) from the upper-right corner of the visualization. This video might use earlier versions of Power BI Desktop or the Power BI service. Note that this video uses an older version of Power BI. Then follow the step-by-step instructions below the video to try it out yourself. Watch Will export the data from one of the visualizations in his report, save it as an. If you have access to the dashboard or report but the data is classified as highly confidential, Power BI will not allow you to export the data.
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The option to export the data requires a Pro or Premium license as well as edit permissions to the dataset and report. You can also export that data to Excel as an. If you'd like to see the data that Power BI uses to create a visualization, you can display that data in Power BI.
For details, see the Considerations and limitations section at the end of this document. In those cases, you will not be able to see or export that data. Often, data is confidential or limited to specific users. If you have permissions to the data, you can see and export the data that Power BI uses to create a visualization. Some data is restricted, hidden, or confidential, and cannot be seen or exported without special permissions. There are safeguards that report designers and administrators use when building dashboards and reports. Not all data can be viewed or exported by all users.
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