MSBI Tutor

You can now tell compelling data stories with Power BI in Jupyter notebooks. Get your Power BI analytics in a Jupyter notebook with the new   powerbiclient   Python package. The new package lets you embed Power BI reports in Jupyter notebooks easily. You’ll be able to export data from visuals in a Power BI report to the Jupyter notebook for in-depth data exploration. You can also filter the report for quick analysis or use bookmarks to apply a saved view. You can install the Power BI Client for Jupyter from   PyPI   and find the open-sourced Python package and associate TypeScript widget on   GitHub . Watch our latest on-demand session –   Embed actionable analytics everywhere with Power BI Embedded , for a Power BI in Jupyter notebook demo!   For a quick peek into how to use the package in your application, check out the example below. Install the package using   pip : pip install powerbiclient Or if you use JupyterLab: pip install powerbiclient jupyter labextension install @jupyter-w

SharePoint Online is a great way for organizations to create portals and team sites for distributing Power BI reports. However, users consuming Power BI reports through SharePoint Online have not had access to the full capabilities of Power BI. We’re addressing this limitation with a new option to enable the Power BI report action bar in SharePoint Online.   The action bar lets report viewers access important capabilities to be more productive with the reports they use in SharePoint. With the action bar, users can now easily   Analyze in Excel, Export to PowerPoint, and Export to PDF.   This enables users to use data and insight in more places to more quickly get their jobs done.   Report viewers can now  create and view personal bookmarks   right in SharePoint, making it easier to get to the data they individually need. The bookmarks are also available in the Power BI service and Microsoft Teams so no matter where a user views the report, they get the same personalized experience.   A

Welcome to the June update! Loads of updates on connectors this time around. Also, DirectQuery support for Dataflows is now generally available! On top of that, we are happy to announce the preview of the paginated reports visual – we know many of you have been eagerly awaiting it, so take it for a spin and provide your feedback! Our Small Multiples and DirectQuery for Power BI datasets and Azure Analysis Services previews are still ongoing and receiving some updates this month. There is much more, so read on! Here is the full list of June updates: Reporting Paginated reports visual   Area chart transparency sliders Inner padding for continuous axes Small multiples: responsiveness and conditional formatting   Analytics Q&A improvement for inferred results Modeling Format strings now persisted when using DirectQuery for Power BI datasets and Azure Analysis Services   Data preparation DirectQuery support for Dataflows   Select all operation is now supported for Dynamic M Query Parame