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Tableau Your Data! - Fast and Easy Visual Analysis With Tableau Software

English · Paperback / Softback

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Informationen zum Autor DANIEL G. MURRAY founded the InterWorks Tableau/BI practice in 2008, laying the foundation for InterWorks to become the premier Gold Professional Consulting Partner for Tableau Software. He is an in-demand speaker and was a Tableau Zen Master from 2014 to 2015. Klappentext Transform your organization's data into actionable insights with TableauTableau is designed specifically to provide fast and easy visual analytics. The intuitive drag-and-drop interface helps you create interactive reports, dashboards, and visualizations, all without any special or advanced training. This all new edition of Tableau Your Data! is your Tableau companion, helping you get the most out of this invaluable business toolset.Tableau Your Data! shows you how to build dynamic, best of breed visualizations using the Tableau Software toolset. This comprehensive guide covers the core feature set for data analytics, and provides clear step-by-step guidance toward best practices and advanced techniques that go way beyond the user manual. You'll learn how Tableau is different from traditional business information analysis tools, and how to navigate your way around the Tableau 9.0 desktop before delving into functions and calculations, as well as sharing with the Tableau Server.Analyze data more effectively with Tableau Desktop* Customize Tableau's settings for your organization's needs with detailed real-world examples on data security, scaling, syntax, and more* Deploy visualizations to consumers throughout the enterprise - from sales to marketing, operations to finance, and beyond* Understand Tableau functions and calculations and leverage Tableau across every link in the value chain* Learn from actual working models of the book's visualizations and other web-based resources via a companion websiteTableau helps you unlock the stories within the numbers, and Tableau Your Data! puts the software's full functionality right at your fingertips. Zusammenfassung Transform your organization's data into actionable insights with Tableau Tableau is designed specifically to provide fast and easy visual analytics. The intuitive drag-and-drop interface helps you create interactive reports, dashboards, and visualizations, all without any special or advanced training. Inhaltsverzeichnis Introduction xxv Part I Desktop 1 1 Creating Visual Analytics with Tableau Desktop 3 The Shortcomings of Traditional Information Analysis 4 The Business Case for Visual Analysis 5 Three Kinds of Data That Exist in Every Entity 5 How Visual Analytics Improves Decision Making 6 Turning Data into Information with Visual Analytics 8 Analysis as a Creative Process 8 Tableau's Desktop Tools 9 Tableau Desktop Personal Edition 9 Professional Edition 9 Tableau File Types 9 Tableau Reader 11 Tableau Online Help 11 Introducing the Tableau Desktop Workspace 11 New Workspace Design 11 Using the Start Page Controls Effectively 12 The Start Page 12 The Tableau Desktop Workspace 17 Summary 41 2 Connecting to Your Data 43 What You Will Learn in This Chapter 43 How to Connect to Your Data 44 Connecting to Desktop Sources 45 Understanding the Data Source Page 47 What Are Generated Values? 57 Knowing When to Use a Direct Connection or a Data Extract 61 Using Tableau's File Types Effectively 63 Dealing with Data Shaping and Data Quality 65 The Data Interpreter 68 3 Building Your First Visualization 93 Fast and Easy Analysis via Show Me 93 New Features 94 How Show Me Works 94 The Analytics Pane 103 Sorting Data in Tableau 118 Enhancing View with Filters, Sets, Groups, and Hierarchies 121 How Tableau Uses Date Fields 143

Product details

Authors D Murray, Dan Murray, Daniel G. Murray
Publisher Wiley, John and Sons Ltd
 
Languages English
Product format Paperback / Softback
Released 31.10.2015
 
EAN 9781119001195
ISBN 978-1-119-00119-5
No. of pages 736
Subjects Natural sciences, medicine, IT, technology > Mathematics
Social sciences, law, business > Business > Management

Statistik, Datenanalyse, Statistics, data analysis

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