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Microsoft Power BI Quick Start Guide

Microsoft Power BI Quick Start Guide

By : Devin Knight, Knight, Mitchell Pearson , Manuel Quintana
3.8 (10)
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Microsoft Power BI Quick Start Guide

Microsoft Power BI Quick Start Guide

3.8 (10)
By: Devin Knight, Knight, Mitchell Pearson , Manuel Quintana

Overview of this book

Microsoft Power BI is a cloud-based service that helps you easily visualize and share insights using your organization's data.This book will get you started with business intelligence using the Power BI toolset, covering essential concepts such as installation,designing effective data models, as well as building basic dashboards and visualizations to make your data come to life You will learn how to get your data the way you want – connecting to data sources sources and how to clean your data with the Power BI Query Editor. You will next learn how to properly design your data model to make your data easier to work with.. You will next learn how to properly design your data model to navigate table relationships and build DAX formulas to make your data easier to work with. Visualizing your data is another key element of this book, and you will learn how to follow proper data visualization styles and enhanced digital storytelling techniques. By the end of this book, you will understand how to administer your organization's Power BI environment so deployment can be made seamless, data refreshes can run properly, and security can be fully implemented
Table of Contents (10 chapters)
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Visualizing tabular data

We will see that there are many options within Power BI to visually represent data, but sometimes our users may want to see and compare detailed data and exact values. In these scenarios, using the Table or Matrix visual ends up being our best choice. When leveraging either of these two visuals, it is important to take advantage of the Format area to ensure that users can easily interpret the detailed data that is being presented. One of the best ways to bring attention to values of importance with these visuals is by using Conditional Formatting. We will explore this option, as well as take advantage of the hierarchies we created in Chapter 3, Building the Data Model, to allow for drill downs within the visuals.

The table visual

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