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The **Configure session** dialog box opens.
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A database named **reportdata** should appear in the **Workspace** tab of the **Data** pane. If this database doesn't appear, then you might have to refresh the web page.
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The database contains a set of tables. Each table contains information obtained by running the queries from the PySpark notebook.
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3. To examine the contents of a table, expand the **Tables** folder of the **reportdata** database. Then, right-click a table, select **Select SQL script**, and then select **Select TOP 100 rows**.
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4. You can modify the query as needed and then select **Run** to view the results.
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## Visualize the data
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3. In the **Open** dialog box, change the file type to **Power BI template files (*.pbit)**.
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4. Browse to the location of the **ReportAnalysis.pbit** file that you downloaded, and then select **Open**.
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5. In the dialog box, set the **synapse_workspace_name** field to the workspace name and set the **database_name** field to `reportdata`. Then, select the **Load** button.
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A report appears which provides visualizations of the data retrieved by the notebook. The following images show the types of the charts and graphs that appear in this report.
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Copy file name to clipboardExpand all lines: articles/storage/common/storage-plan-manage-costs.md
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As you change the value of the **Type** drop-down list, other options that appear on this worksheet change as well. Use the links in the **More Info** section to learn more about what each option means and how these options affect the price of storage-related operations.
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As you change the value of the **Type** drop-down list, other options that appear on this worksheet change as well. Use the links in the **More Info** section to learn more about what each option means and how these options effect the price of storage-related operations.
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4. Modify the remaining options to see their affect on your estimate.
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4. Modify the remaining options to see their effect on your estimate.
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> - To view an Excel template which can help you to itemize the amount of storage and number of operations required by your workloads, see [Estimating Pricing for Azure Block Blob Deployments](https://azure.github.io/Storage/docs/application-and-user-data/code-samples/estimate-block-blob/).
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## Export cost data
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You can also [export your cost data](../../cost-management-billing/costs/tutorial-export-acm-data.md?WT.mc_id=costmanagementcontent_docsacmhorizontal_-inproduct-learn) to a storage account. This is helpful when you need or others to do additional data analysis for costs. For example, a finance teams can analyze the data using Excel or Power BI. You can export your costs on a daily, weekly, or monthly schedule and set a custom date range. Exporting cost data is the recommended way to retrieve cost datasets.
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You can also [export your cost data](../../cost-management-billing/costs/tutorial-export-acm-data.md?WT.mc_id=costmanagementcontent_docsacmhorizontal_-inproduct-learn) to a storage account. This is helpful when you need or others to do additional data analysis for costs. For example, a finance team can analyze the data using Excel or Power BI. You can export your costs on a daily, weekly, or monthly schedule and set a custom date range. Exporting cost data is the recommended way to retrieve cost datasets.
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