标记的帖子:Data Visualization

Help us shape the future of Power BI – Exploring the idea of Integrating Power BI with Microsoft Forms

Back in May 2021, we announced the integration of the new Power BI quick create experience within SharePoint, which enabled the SharePoint users to easily generate awesome Power BI reports by just one click. Currently, we are exploring other applications where we could potentially integrate a similar experience and one of the application that we are exploring is MS Forms. We have created a survey to compile feedback from our customers on a potential integration with Microsoft Forms. If your organization uses Microsoft Forms and/or Microsoft Power BI, we would encourage you to make your voices heard by completing this ~5 mins survey.

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Python visualizations in Power BI Service

With our February update of Power BI, you can now share, publish and view Python visuals in your reports and dashboards. This update extends the support for Python in the Power BI Desktop to the Power BI service. This ability completes the support for Python in Power BI, enabling you to use Python scripts to … Continue reading “Python visualizations in Power BI Service”

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Power BI Service and Mobile January 2019 Feature Summary

January was a feature-filled month for the Power BI team! We kicked off this new year by announcing some of the highly requested features by our community and couldn’t have wished for a better start. We hope you’re just as excited for what’s to come for the rest of 2019! To recap, here’s a list of all the features we shipped last month.

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Power BI Revs Up NASCAR Fantasy Game

The new driver comparison tool uses historical data from NASCAR’s robust data warehouse to compare two drivers at all the tracks on this year’s schedule. Now, for the first time, fans can compare the full racing profile of two drivers all in one place. This is just the first step in a greater effort for NASCAR to share race data with fans in a new and exciting way.

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The Art and Science of Action-Driven Visual Analytics

Last year I went to our CMO Chris Capossela’s talk called “What’s Great Data in Microsoft”. In this talk, he listed five of the most important characteristics of good data: self-describe, fresh, forward thinking, inclusive, and adopted. The last one – adopted – is what he emphasized the most, and he challenged us to think harder about turning data into business actions.

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