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Learning Tableau 2020 - Fourth Edition

You're reading from  Learning Tableau 2020 - Fourth Edition

Product type Book
Published in Aug 2020
Publisher Packt
ISBN-13 9781800200364
Pages 576 pages
Edition 4th Edition
Languages
Author (1):
Joshua N. Milligan Joshua N. Milligan
Profile icon Joshua N. Milligan

Table of Contents (19) Chapters

Preface 1. Taking Off with Tableau 2. Connecting to Data in Tableau 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

Overview of level of detail

What does the term level of detail mean? A lot depends on the context in which the term is used. Within Tableau, we'll distinguish several levels of detail, each of which is vitally important to understand in order to properly analyze data:

  • Data level of detail: Sometimes referred to as the grain of the data, this is the level of detail defined by a single record of the data set. When you can articulate what one record of the data represents (for example, "Every record represents a single order" or "There is one record for every customer"), then you have a good understanding of the data level of detail. Row-level calculations operate at this level.
  • View level of detail: We've previously discussed that the combination of fields used as dimensions in the view defines the view level of detail. Normally in a view, Tableau draws a single mark for each distinct combination of values present in the data for all the...
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