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DAX Cookbook

You're reading from   DAX Cookbook Over 120 recipes to enhance your business with analytics, reporting, and business intelligence

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Product type Paperback
Published in Mar 2020
Publisher Packt
ISBN-13 9781839217074
Length 552 pages
Edition 1st Edition
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Author (1):
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Greg Deckler Greg Deckler
Author Profile Icon Greg Deckler
Greg Deckler
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Table of Contents (15) Chapters Close

Preface 1. Thinking in DAX 2. Dealing with Dates and Calendars FREE CHAPTER 3. Tangling with Time and Duration 4. Transforming Text and Numbers 5. Figuring Financial Rates and Revenues 6. Computing Customer KPIs 7. Evaluating Employment Measures 8. Processing Project Performance 9. Calculating Common Industry Metrics 10. Using Uncommon DAX Patterns 11. Solving Statistical and Mathematical Formulas 12. Applying Advanced DAX Patterns 13. Debugging and Optimizing DAX 14. Other Books You May Enjoy

Crafting linear interpolation

Linear interpolation is a mathematical curve fitting technique. The goal of linear interpolation is to take known data points and create new data points as estimations based upon known values. For example, suppose we know that a car starts at a velocity of 0 miles per hour (mph). After 1,000 feet, we use a laser to clock the speed of the car at 60 mph. If we assume a constant rate of acceleration (linear), then we could use linear interpolation to estimate the speed of the car after 10 feet, 20 feet, 30 feet, and so on. Even though we only know the speed of the car at 0 feet and 1,000 feet, we can estimate the speed at any distance traveled between 0 and 1,000 feet using linear interpolation.

The formula for linear interpolation solved for an unknown variable y (think of this as the speed of the car in the example) can be given as follows:

Continuing...

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