Visual Analytics with Tableau

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.

Auteur

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.

Texte du rabat
A 4-COLOR JOURNEY THROUGH A COMPLETE TABLEAU VISUALIZATION FOR NON-TECHNICAL BUSINESS USERS Tableau is a popular data visualization and analytics tool favored by financial analysts, marketers, statisticians, business and sales professionals, data scientists, developers, and many others who need to explore insights and present visual, easy-to-understand data. Visual Analytics with Tableau is an accessible, step-by-step introduction to the world of visual analytics. This up-to-date guide is ideal for both beginners and more experienced users seeking a practical introduction to the fields of data analysis and visualization. Through hands-on examples and exercises, readers learn how to analyze their own data and clearly communicate the results. This guide covers everything you need to get started with Tableau, from the first steps of connecting to data, creating different types of charts, and adding calculation fields to more advanced features such as table calculations, forecasts, clusters, and R, Python, and MATLAB integration for sophisticated statistical modelling. User-friendly instructions for existing options within the Tableau ecosystemTableau Desktop, Tableau Prep, Tableau Server, Tableau Online, and Tableau Publicenable you to integrate, clean, and prepare your data and share your work with others. Visual Analytics with Tableau:

• Covers the newest versions of Tableau 2018.3 and 2019.1 plus Tableau Prep, Tableau's brand-new data integration application
• Requires no background in mathematics nor any programming experience
• Focuses on the visual analytics functionality of Tableau rather than complex statistical programming
• Offers expert guidance from popular Tableau Germany employee and visualization expert Alexander Loth
• Discusses advanced Tableau functionality and working with different data structures
• Provides easy-to-follow instructions, full-color illustrations, learning tools, online resources, and more If you're getting started with visual analytics and Tableau, this book will teach you everything you need to know to build the foundations and understand how and why to explore your data visually. Alexander has created a fantastic resource that guides you step by step through the process of preparing your data, using Tableau Desktop to analyse it and finding insights. Eva Murray, Head of BI and Tableau Zen Master at Exasol If you're keen to go from beginner to expert in Tableau, Alexander's excellent book gives you everything you need to know. With a crisp and clear style, he talks the reader through all aspects of Tableau, from data cleaning through data analysis and into sharing insight with others. Andy Cotgreave, Author of Big Book of Dashboards and Technical Evangelist at Tableau Software Visual Analytics with Tableau an easy to understand book by Alexander Loth, one of Tableau's very first employees based in Germany, a recognized speaker on countless conferences, and a Tableau Jedi. It contains both the basics and advanced Tableau features. If you ask me: there is nothing more you need to get started with Tableau! Klaus Schulte, Professor at Münster School of Business & 2019 Tableau Zen Master

Résumé
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.

Contenu

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

Performance Optimization with Database Servers 48

**Chapter 3: Creating Data Visu…