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Tableau Desktop Certified Associate: Exam Guide

You're reading from   Tableau Desktop Certified Associate: Exam Guide Develop your Tableau skills and prepare for Tableau certification with tips from industry experts

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Product type Paperback
Published in Dec 2019
Publisher Packt
ISBN-13 9781838984137
Length 370 pages
Edition 1st Edition
Tools
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Authors (5):
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Dmitry Anoshin Dmitry Anoshin
Author Profile Icon Dmitry Anoshin
Dmitry Anoshin
Fabian Peri Fabian Peri
Author Profile Icon Fabian Peri
Fabian Peri
JC Gillet JC Gillet
Author Profile Icon JC Gillet
JC Gillet
Radhika Biyani Radhika Biyani
Author Profile Icon Radhika Biyani
Radhika Biyani
Gleb Makarenko Gleb Makarenko
Author Profile Icon Gleb Makarenko
Gleb Makarenko
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Getting Started with Tableau
2. Building Your Data Model FREE CHAPTER 3. Section 2: Answering Questions with Data
4. Working with Worksheets 5. Analyzing Data Using Charts 6. Visualizing Geographic Data 7. Understanding Simple Calculations in Tableau 8. Section 3: Advanced Tableau
9. Tableau Table Calculations 10. Level of Detail Expressions 11. Leveraging Analytics Capabilities 12. Building Your Dashboards 13. Mock Test A + B (Assessment) 14. Other Books You May Enjoy

Creating density maps

Density marks were added to Tableau in version 2018.3. These marks add another way of finding patterns in areas where there is a lot of overlapping data or the concentration of data is very high. Density marks find their best use in creating density maps, making it super easy to find trends in spatial data. Density maps work best with custom geocoded files, as they allow for detailed granular data to be added. Granular and precise data in a small range, along with smooth changes in measure values is the ideal use case for using density maps.

For this example, we will be using the 311 calls dataset. In case you have not yet downloaded it, download it here in a .csv format: https://data.nola.gov/City-Administration/311-Calls-Historic-Data-2012-2018-/3iz8-nghx.

Now, if we want to understand the distribution of calls by Zip Code for LA, and decide to plot a...

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