Search icon CANCEL
Arrow left icon
Explore Products
Best Sellers
New Releases
Books
Videos
Audiobooks
Learning Hub
Conferences
Free Learning
Arrow right icon
Arrow up icon
GO TO TOP
Learning Tableau 2020

You're reading from   Learning Tableau 2020 Create effective data visualizations, build interactive visual analytics, and transform your organization

Arrow left icon
Product type Paperback
Published in Aug 2020
Publisher Packt
ISBN-13 9781800200364
Length 576 pages
Edition 4th Edition
Tools
Arrow right icon
Author (1):
Arrow left icon
Joshua N. Milligan Joshua N. Milligan
Author Profile Icon Joshua N. Milligan
Joshua N. Milligan
Arrow right icon
View More author details
Toc

Table of Contents (19) Chapters Close

Preface 1. Taking Off with Tableau 2. Connecting to Data in Tableau FREE CHAPTER 3. Moving Beyond Basic Visualizations 4. Starting an Adventure with Calculations and Parameters 5. Leveraging Level of Detail Calculations 6. Diving Deep with Table Calculations 7. Making Visualizations That Look Great and Work Well 8. Telling a Data Story with Dashboards 9. Visual Analytics – Trends, Clustering, Distributions, and Forecasting 10. Advanced Visualizations 11. Dynamic Dashboards 12. Exploring Mapping and Advanced Geospatial Features 13. Understanding the Tableau Data Model, Joins, and Blends 14. Structuring Messy Data to Work Well in Tableau 15. Taming Data with Tableau Prep 16. Sharing Your Data Story 17. Other Books You May Enjoy
18. Index

Distributions

Analyzing distributions can be quite useful. We've already seen that certain calculations are available for determining statistical information such as averages, percentiles, and standard deviations. Tableau also makes it easy to quickly visualize various distributions, including confidence intervals, percentages, percentiles, quantiles, and standard deviations.

You may add any of these visual analytic features using the Analytics pane (alternately, you can right-click an axis and select Add Reference Line). Just like reference lines and bands, distribution analytics can be applied within the scope of a table, pane, or cell. When you drag and drop the desired visual analytic, you'll have options for selecting the scope and the axis. In the following example, we've dragged and dropped Distribution Band from the Analytics pane onto the scope of Pane for the axis defined by Sum(Price):

Figure 9.25: Defining the scope and axis as you add reference...

lock icon The rest of the chapter is locked
Register for a free Packt account to unlock a world of extra content!
A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.
Unlock this book and the full library FREE for 7 days
Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of
Renews at €18.99/month. Cancel anytime