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A four-color journey through a complete Tableau visualization Tableau is a popular data visualization tool that's easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership, and many other job roles to present data visually for easy understanding, it's no surprise that Tableau is an essential tool in our data-driven economy. Visual Analytics with Tableau is a complete journey in Tableau visualization for a non-technical business user. You can start from zero, connect your first data, and get right into creating and…mehr
A four-color journey through a complete Tableau visualization Tableau is a popular data visualization tool that's easy for individual desktop use as well as enterprise. Used by financial analysts, marketers, statisticians, business and sales leadership, and many other job roles to present data visually for easy understanding, it's no surprise that Tableau is an essential tool in our data-driven economy. Visual Analytics with Tableau is a complete journey in Tableau visualization for a non-technical business user. You can start from zero, connect your first data, and get right into creating and publishing awesome visualizations and insightful dashboards. * Learn the different types of charts you can create * Use aggregation, calculated fields, and parameters * Create insightful maps * Share interactive dashboards Geared toward beginners looking to get their feet wet with Tableau, this book makes it easy and approachable to get started right away.
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Alexander Loth is a data scientist with over 10 years' experience in the Enterprise software space, focused primarily on Digital Transformation, Big Data, Machine Learning, and Business Analytics. Since 2015 he has been with Tableau Software as Digital Strategist in Frankfurt, Germany where he guides organizations to evolve their data-driven culture. Prior to Tableau, Alexander was a Data Scientist at CERN and worked as a consultant for Capgemini and in software engineering at SAP.
Inhaltsangabe
About the Author vii
About the Technical Editors ix
Credits xi
Acknowledgments xiii
Foreword by Nate Vogel xxi
Foreword by Sophie Sparkes xxiii
Introduction xxv
Chapter 1: Introduction and Getting Started with Tableau 1
The Advantages of a Modern Analytics Platform 2
My Personal Tableau Story 3
The Tableau Application Suite 4
Installing Tableau Desktop 5
System Requirements for Tableau Desktop 5
Downloading and Installing Tableau Desktop 6
Registering and Activating Tableau Desktop 6
Data Preparation 6
Crosstab Reports with Wide Tables 7
Preparing Your Data for Analysis 8
Long Tables Suitable for Analysis 8
The Sample Dataset 9
Finding the Dataset 9
Understanding the Data 10
Opening the Excel File Containing the Sample Dataset 11
The Tableau Workspace 13
The Menu Bar 15
The Data Pane 16
Working with Measures and Dimensions 17
Visualizing a First Measure 17
Breaking Down a Measure Based on a Dimension 17
Working with Marks 19
Working with Color 20
Adding More Information to Tooltips 21
Saving, Opening, and Sharing Your Workbooks 21
Saving Workbooks 21
Opening Workbooks 23
Sharing Workbooks with Tableau Reader 23
Chapter 2: Adding Data Sources in Tableau 25
Setting Up a Data Connector 26
Connecting to a File 27
Connecting to a Server 28
Connecting to a Cloud Service 30
Selecting Data Tables 31
Adding a Table to a Data Model 31
Joins 31
Unions 34
Specific Unions (Manual) 34
Wildcard Unions (Automatic) 35
Data Extracts and Live Connections 36
Live Connections 36
Untethered with a Data Extract 37
Data Protection and Data Governance 38
Editing the Model's Metadata 38
Data Types 40
Changing a Field's Data Type 41
Adding Hierarchies, Calculated Fields, and Table Calculations 41
Data Collection 42
Data Collection with IFTTT and Google Sheets 42
Website Analysis with Google Analytics 43
Checklist for Increasing Performance 46
General Advice for Performance Optimization 46
Performance Optimization with Files and Cloud Services 47
