You're reading from Data Modeling with Microsoft Excel

Product type Book

Published in Nov 2023

Publisher Packt

ISBN-13 9781803240282

Pages 316 pages

Edition 1st Edition

Languages

Concepts

Data Analysis

Author (1):

Bernard Obeng Boateng

Table of Contents (16) Chapters

Preface

1. Part 1: Overview and Introduction to Data Modeling in Microsoft Excel

2. Chapter 1: Getting Started with Data Modeling – Overview and Importance

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

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DAX as a calculated column or measure

After creating our data model, we need to calculate some key numbers to track performance. There are some basic calculations we can create from the columns with values in our data model, using functions such as SUM, AVERAGE, MAX, MIN, and so on.

For example, we can find the total quantity of products sold by summing all the values in the Quantity column of our Main Transaction table.

There are measures we can create by simply dragging existing columns or fields to the Values section of a PivotTable. These measures are called implicit measures, while the ones we create with formulas that can be accessed and reused in any part of our data model are called explicit measures. Explicit measures can be created using DAX. DAX is the formula language of a data model. In the data model, we can create two types of DAX calculations: calculated columns and measures.

In an earlier chapter, we learned how to create calculated columns. In this chapter...