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Data Analytics Made Easy

You're reading from   Data Analytics Made Easy Analyze and present data to make informed decisions without writing any code

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801074155
Length 406 pages
Edition 1st Edition
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Author (1):
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Andrea De Mauro Andrea De Mauro
Author Profile Icon Andrea De Mauro
Andrea De Mauro
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Table of Contents (14) Chapters Close

Preface 1. What is Data Analytics? 2. Getting Started with KNIME FREE CHAPTER 3. Transforming Data 4. What is Machine Learning? 5. Applying Machine Learning at Work 6. Getting Started with Power BI 7. Visualizing Data Effectively 8. Telling Stories with Data 9. Extending Your Toolbox 10. And now?
11. Useful Resources 12. Other Books You May Enjoy
13. Index

Walking through Power BI

Building a working dashboard in Power BI requires a series of four essential steps, namely, loading your data, transforming it, defining a data model, and creating data visuals leveraging the data model. As you can see in Figure 6.1, the four steps alternate as a cycle—your dashboard might require a few iterations before being ready for prime time:

Figure 6.1: Typical Power BI design process: load the data and transform data, define a model, build visuals, and iterate

Every step of the process relies on some specific views or dialogs in the application. By using only a handful of views, you will be able to access all the functionalities you need to build a dashboard from scratch. Figure 6.2 shows a simple "map" of where to find the most helpful Power BI views and windows so that you don't get lost along the way:

Figure 6.2: Feeling lost? This is where you find the most valuable views you will ever need in Power BI...

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