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Data Modeling with Microsoft Excel

You're reading from   Data Modeling with Microsoft Excel Model and analyze data using Power Pivot, DAX, and Cube functions

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Product type Paperback
Published in Nov 2023
Publisher Packt
ISBN-13 9781803240282
Length 316 pages
Edition 1st Edition
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Author (1):
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Bernard Obeng Boateng Bernard Obeng Boateng
Author Profile Icon Bernard Obeng Boateng
Bernard Obeng Boateng
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Table of Contents (16) Chapters Close

Preface 1. Part 1: Overview and Introduction to Data Modeling in Microsoft Excel
2. Chapter 1: Getting Started with Data Modeling – Overview and Importance FREE CHAPTER 3. Chapter 2: Data Structuring for Data Models – What’s the best way to layout your data? 4. Chapter 3: Preparing Your Data for the Data Model – Cleaning and Transforming Your Data Using Power Query 5. Chapter 4: Data Modeling with Power Pivot – Understanding How to Combine and Analyze Multiple Tables Using the Data Model 6. Part 2: Creating Insightful Calculations from your Data Model using DAX and Cube Functions
7. Chapter 5: Creating DAX Calculations from Your Data Model – Introduction to Measures and Calculated Columns 8. Chapter 6: Creating Cube Functions from Your Data Model – a Flexible Alternative to Calculations in Your Data Model 9. Part 3: Putting it all together with a Dashboard
10. Chapter 7: Communicating Insights from Your Data Model Using Dashboards – Overview and Uses 11. Chapter 8: Visualization Elements for Your Dashboard – Slicers, PivotCharts, Conditional Formatting, and Shapes 12. Chapter 9: Choosing the Right Design Themes – Less Is More with Colors 13. Chapter 10: Publication and Deployment – Sharing with Report Users 14. Index 15. Other Books You May Enjoy

Creating DAX Calculations from Your Data Model – Introduction to Measures and Calculated Columns

We are halfway through our journey to creating a dynamic sales dashboard that will give users insights into our sales business. After extracting, transforming, loading, and modeling our data, we now have to measure our sales performance. To do this, we need to calculate some key metrics. These metrics will help us create visualizations using some of the various dimensions in our data model.

In this chapter, you will learn the key differences between measures and calculated columns, understand the various ways to create a Data Analysis Expressions (DAX) measure in Excel, master some key DAX functions and concepts, and apply these to our final sales dashboard.

The following topics will be covered in this chapter:

  • DAX as a calculated column or measure
  • Creating your first measure—where to go
  • Common DAX functions (time intelligence, FILTER, CALCULATE, and...
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