![]() ![]() The purpose of the lesson is to explore how multiplying by 10 and powers of 10 affect movement of the decimal point. ![]() Scaffolding, Active Engagement, Modeling, Formative Assessment W: The possible inclusion of commercial websites below is not an implied endorsement of their products, which are not free, and are not required for this lesson plan. optional: student copies of the Make That Negative sheet ( M-5-5-2_Make That Negative and KEY.docx).optional: student copies the Decimal Dash sheet ( M-5-5-2_Decimal Dash and KEY.docx).Cut them apart prior to the lesson and store in envelopes or zip-top baggies. Print these back to back so answers will line up correctly on the back of the question cards. optional: Power of Ten Flash Cards ( M-5-5-2_Flash Cards.docx).student copies of Lesson 2 Exit Ticket and one answer key ( M-5-5-2_Lesson 2 Exit Ticket and KEY.docx).student copies of the Power of Ten practice sheet ( M-5-5-2_Power of Ten Practice and KEY.docx).student sets of base-ten blocks or use paper base-ten blocks, either cut apart ahead or plan time for students to do it ( M-5-5-1_Paper Base-Ten Models.docx).teacher set of base-ten blocks or use virtual set on the interactive whiteboard.calculators for students or one that displays on the overhead or interactive whiteboard.student copies of Vocabulary Journal pages ( M-5-5-1_Vocabulary Journal.docx).Close the Power Query Editor and load the data into Excel.In the resulting table, you will see a new column with the sheet names. In the "Advanced Options" dialog box, select the column containing the sheet names as the "Values Column", and choose "Don't Aggregate" as the "Aggregate Value Function".Ĭlick on "OK" to create the pivot column. Go to the "Transform" tab in the Power Query Editor, and click on "Pivot Column" in the "Any Column" section. Select the column that contains the sheet name. In the Power Query Editor, you will see a table with the exported data. In Excel, go to the "Data" tab and click on "From Table/Range" in the "Get & Transform Data" section. This will download an Excel file containing the exported data. In the Power BI service, navigate to your desired report and click on the "Export" button.Ĭhoose "Export to Excel" from the dropdown menu.Publish your Power BI report to the Power BI service. You can add a new calculated column that contains the desired sheet name. In Power BI Desktop, ensure that the sheet name is included as a field/column in your dataset. You can use the Power Query Editor in Excel. The specific implementation details may vary based on the programming language and libraries you choose to use. Please note that this approach requires custom coding and knowledge of programming languages and libraries. Save the Excel file: Save the Excel file with the populated data using the library or package you are using.īy programmatically exporting the data and creating the Excel file, you have control over the sheet name and can set it dynamically based on your needs. Iterate over the data and populate the cells accordingly. Populate the sheet with data: Write the retrieved data from Power BI into the Excel sheet. You can provide a dynamic name for the sheet based on your requirements. NET) to create a new Excel file or open an existing one.Īdd a new sheet: Use the library or package to add a new sheet to the Excel file. You can query the data using the appropriate endpoints or methods based on your requirements.Ĭreate an Excel file: Use a library or package (such as OpenXML or EPPlus in. Retrieve the data from Power BI: Use the Power BI REST API or Power BI SDK to retrieve the data you want to export. Here's a general outline of the steps you can follow: If you want to have a dynamic sheet name based on your requirements, you would need to export the data from Power BI to Excel programmatically using an API or custom code. The exported data will be placed in a sheet named "Report" by default. When exporting data from Power BI to Excel using the Power BI service, the sheet name is not customizable or dynamic. ![]()
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