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Learning Tableau 10 - Second Edition

You're reading from  Learning Tableau 10 - Second Edition

Product type Book
Published in Sep 2016
Publisher Packt
ISBN-13 9781786466358
Pages 432 pages
Edition 2nd Edition
Languages

Table of Contents (17) Chapters

Learning Tableau 10 Second Edition
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
1. Creating Your First Visualizations and Dashboard 2. Working with Data in Tableau 3. Moving from Foundational to More Advanced Visualizations 4. Using Row-Level, Aggregate, and Level of Detail Calculations 5. Table Calculations 6. Formatting a Visualization to Look Great and Work Well 7. Telling a Data Story with Dashboards 8. Deeper Analysis – Trends, Clustering, Distributions, and Forecasting 9. Making Data Work for You 10. Advanced Visualizations, Techniques, Tips, and Tricks 11. Sharing Your Data Story

Structuring data for Tableau


We've already seen that Tableau can connect to nearly any data source. Whether it's a built-in direct connection, ODBC, or using the Tableau Data Extract API to generate an extract, no data is off limits. However, there are certain structures that make data easier to work with in Tableau.

There are two keys to ensuring a good data structure that works well with Tableau:

  • Every record of a source data connection should be at a meaningful level of detail

  • Every measure contained in the source should match the level of detail or possibly be at a higher level of detail, but should never be at a lower level of detail

For example, let's say you have a table of test scores with one record per classroom in a school. Within the record, you may have three measures: the average GPA for the classroom, the number of students in the class, and the number of students in the school:

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School

Classroom

Average GPA

Number of Students

Number of Students (School)

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