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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 a Scatter plot


Another way of comparing multiple measures is by creating a Scatter plot. A scatter plot is an XY axis chart with measures on both the X axis and the Y axis. It helps us find trends, concentrations and outliers by helping us focus on anomalies which are shown by the scattered points.

Getting ready

To create a Scatter plot, we will continue working in the same workbook. However, we will connect to a new data source. We will use the Access data, Sample-Coffee Chain.mdb which has been uploaded on https://1drv.ms/f/s!Av5QCoyLTBpnhj06IKTNX0S9hK48.

For our Mac users, since Tableau doesn't connect to the Access database from Mac, we will have to use the Excel version of this data which is also uploaded on the same link and is called Sample - CoffeeChain (Use instead of MS Access).xlsx.

If you haven't already downloaded these files in Chapter 1, Keep Calm and Say Hello to Tableau, you can download them now and save the files in a new folder called Tableau Cookbook data under...

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