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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

By : Greg Deckler, Powell
4.7 (23)
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Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

4.7 (23)
By: Greg Deckler, Powell

Overview of this book

Since its first edition the Power BI Cookbook has been a best-selling resource for BI developers and data analysts to produce impactful, quality BI solutions. This new and updated edition retains the rigorous details and concepts readers of prior editions have enjoyed while also demonstrating powerful new capabilities and updated guidance aligned to the current state of the platform. In this book, with step-by-step instructions, you will learn to navigate the complexities of data integration and visualization in Power BI. From creating robust data models to implementing sophisticated reporting techniques, this Power BI book empowers you to make informed decisions based on actionable insights. It also introduces you to new capabilities such as Hybrid tables and scorecards, enhancing your ability to communicate and analyze business performance. It also expands and improvises on the core of the previous edition like parameterizing Power BI solutions, authoring reports, data intelligence, and integrating advanced analytics. This edition not only updates you on the latest features but also prepares you for future innovations with a preview of upcoming AI enhancements in Power BI. Whether you're refining your skills or aspiring to become an expert, this book is an invaluable resource for leveraging Power BI to its fullest potential
Table of Contents (16 chapters)
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14
Other Books You May Enjoy
15
Index

Detecting and Analyzing Clusters

Clustering is a data mining and machine learning technique used to group (cluster) the items of one dimension based on the values of one or more measures. Given the number of distinct dimension items, such as products or customers, and the number of measures describing those items, clustering is a powerful method of exploring data to discover relationships not easily detected with standard reporting and analysis techniques. Power BI Desktop provides built-in support for the creation of clusters and allows them to be managed, revised, and used in Power BI reports like other columns in the semantic model.

In this recipe, a customer cluster is created based on the sales amount, the count of orders, and the count of days since the last purchase. DAX measures are created to support this analysis, and a Scatter Chart visual is created to further analyze the clusters.

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