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Tableau Cookbook - Recipes for Data Visualization

You're reading from  Tableau Cookbook - Recipes for Data Visualization

Product type Book
Published in Dec 2016
Publisher Packt
ISBN-13 9781784395513
Pages 504 pages
Edition 1st Edition
Languages
Author (1):
Shweta Sankhe-Savale Shweta Sankhe-Savale
Profile icon Shweta Sankhe-Savale

Table of Contents (18) Chapters

Tableau Cookbook – Recipes for Data Visualization
Credits
About the Author
About the Reviewer
www.PacktPub.com
Customer Feedback
Preface
1. Keep Calm and Say Hello to Tableau 2. Ready to Build Some Charts? Show Me! 3. Hungry for More Charts? Dig In! 4. Slice and Dice – Grouping, Sorting, and Filtering Data 5. Adding Flavor – Creating Calculated Fields 6. Serve It on a Dashboard! 7. The Right MIX – Blending Multiple Data Sources 8. Garnish with Reference Lines, Trends, Forecasting, and Clustering 9. Bon Appétit! Tell a Story and Share It with others 10. Formatting in Tableau for Desserts Index

Creating bins to bucket our data


When we get fields such as sales, profit, discount, and many more in either the Rows or Columns shelf, it creates an axis. However, at times, it is important to organize these continuous measures into discrete groups rather than just showing the individual values for each and every data point. For example, let's say we have a field that holds the age of people ranging from 10 to 90. Rather than showing each and every age in the view, we can bin the individual ages into age groups such as 10 to 25, 26 to 40 and so on. This helps us get an idea of the distribution of the population. The range of this distribution is called a Class Interval. Further, in order to visualize this distribution of data, we use a graphical representation called Histogram which was first introduced by Karl Pearson.

Thus, in other words, binning is a process of dividing the entire range of quantitative values into a series of small intervals and then counting how many values fall into...

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