{"product_id":"visual-analytics-with-tableau-isbn-9781119560203","title":"Visual Analytics with Tableau","description":"\u003cp\u003e\u003cb\u003eA four-color journey through a complete Tableau visualization \u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eTableau 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.\u003c\/p\u003e \u003cp\u003e\u003ci\u003eVisual Analytics with Tableau\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003e•    Learn the different types of charts you can create\u003c\/p\u003e \u003cp\u003e•    Use aggregation, calculated fields, and parameters\u003c\/p\u003e \u003cp\u003e•    Create insightful maps\u003c\/p\u003e \u003cp\u003e•    Share interactive dashboards\u003c\/p\u003e \u003cp\u003eGeared toward beginners looking to get their feet wet with Tableau, this book makes it easy and approachable to get started right away.\u003c\/p\u003e \u003cp\u003eAbout the Author vii\u003c\/p\u003e \u003cp\u003eAbout the Technical Editors ix\u003c\/p\u003e \u003cp\u003eCredits xi\u003c\/p\u003e \u003cp\u003eAcknowledgments xiii\u003c\/p\u003e \u003cp\u003eForeword by \u003ci\u003eNate Vogel\u003c\/i\u003e xxi\u003c\/p\u003e \u003cp\u003eForeword by \u003ci\u003eSophie Sparkes\u003c\/i\u003e xxiii\u003c\/p\u003e \u003cp\u003eIntroduction xxv\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 1: Introduction and Getting Started with Tableau 1\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eThe Advantages of a Modern Analytics Platform 2\u003c\/p\u003e \u003cp\u003eMy Personal Tableau Story 3\u003c\/p\u003e \u003cp\u003eThe Tableau Application Suite 4\u003c\/p\u003e \u003cp\u003eInstalling Tableau Desktop 5\u003c\/p\u003e \u003cp\u003eSystem Requirements for Tableau Desktop 5\u003c\/p\u003e \u003cp\u003eDownloading and Installing Tableau Desktop 6\u003c\/p\u003e \u003cp\u003eRegistering and Activating Tableau Desktop 6\u003c\/p\u003e \u003cp\u003eData Preparation 6\u003c\/p\u003e \u003cp\u003eCrosstab Reports with Wide Tables 7\u003c\/p\u003e \u003cp\u003ePreparing Your Data for Analysis 8\u003c\/p\u003e \u003cp\u003eLong Tables Suitable for Analysis 8\u003c\/p\u003e \u003cp\u003eThe Sample Dataset 9\u003c\/p\u003e \u003cp\u003eFinding the Dataset 9\u003c\/p\u003e \u003cp\u003eUnderstanding the Data 10\u003c\/p\u003e \u003cp\u003eOpening the Excel File Containing the Sample Dataset 11\u003c\/p\u003e \u003cp\u003eThe Tableau Workspace 13\u003c\/p\u003e \u003cp\u003eThe Menu Bar 15\u003c\/p\u003e \u003cp\u003eThe Data Pane 16\u003c\/p\u003e \u003cp\u003eWorking with Measures and Dimensions 17\u003c\/p\u003e \u003cp\u003eVisualizing a First Measure 17\u003c\/p\u003e \u003cp\u003eBreaking Down a Measure Based on a Dimension 17\u003c\/p\u003e \u003cp\u003eWorking with Marks 19\u003c\/p\u003e \u003cp\u003eWorking with Color 20\u003c\/p\u003e \u003cp\u003eAdding More Information to Tooltips 21\u003c\/p\u003e \u003cp\u003eSaving, Opening, and Sharing Your Workbooks 21\u003c\/p\u003e \u003cp\u003eSaving Workbooks 21\u003c\/p\u003e \u003cp\u003eOpening Workbooks 23\u003c\/p\u003e \u003cp\u003eSharing Workbooks with Tableau Reader 23\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 2: Adding Data Sources in Tableau 25\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSetting Up a Data Connector 26\u003c\/p\u003e \u003cp\u003eConnecting to a File 27\u003c\/p\u003e \u003cp\u003eConnecting to a Server 28\u003c\/p\u003e \u003cp\u003eConnecting to a Cloud Service 30\u003c\/p\u003e \u003cp\u003eSelecting Data Tables 31\u003c\/p\u003e \u003cp\u003eAdding a Table to a Data Model 31\u003c\/p\u003e \u003cp\u003eJoins 31\u003c\/p\u003e \u003cp\u003eUnions 34\u003c\/p\u003e \u003cp\u003eSpecific Unions (Manual) 34\u003c\/p\u003e \u003cp\u003eWildcard Unions (Automatic) 35\u003c\/p\u003e \u003cp\u003eData Extracts and Live Connections 36\u003c\/p\u003e \u003cp\u003eLive Connections 36\u003c\/p\u003e \u003cp\u003eUntethered with a Data Extract 37\u003c\/p\u003e \u003cp\u003eData Protection and Data Governance 38\u003c\/p\u003e \u003cp\u003eEditing the Model’s Metadata 38\u003c\/p\u003e \u003cp\u003eData Types 40\u003c\/p\u003e \u003cp\u003eChanging a Field’s Data Type 41\u003c\/p\u003e \u003cp\u003eAdding Hierarchies, Calculated Fields, and Table Calculations 41\u003c\/p\u003e \u003cp\u003eData Collection 42\u003c\/p\u003e \u003cp\u003eData Collection with IFTTT and Google Sheets 42\u003c\/p\u003e \u003cp\u003eWebsite Analysis with Google Analytics 43\u003c\/p\u003e \u003cp\u003eChecklist for Increasing Performance 46\u003c\/p\u003e \u003cp\u003eGeneral Advice for Performance Optimization 46\u003c\/p\u003e \u003cp\u003ePerformance Optimization with Files and Cloud Services 47\u003c\/p\u003e \u003cp\u003ePerformance Optimization with Database Servers 48\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 3: Creating Data Visualizations 49\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eChart Types 50\u003c\/p\u003e \u003cp\u003eReady, Set, Show Me 52\u003c\/p\u003e \u003cp\u003eHow Show Me Works 52\u003c\/p\u003e \u003cp\u003eScatter Plots 52\u003c\/p\u003e \u003cp\u003eBar Charts, Legends, Filters, and Hierarchies 53\u003c\/p\u003e \u003cp\u003eBar Charts 54\u003c\/p\u003e \u003cp\u003eHierarchies 54\u003c\/p\u003e \u003cp\u003eFilters 55\u003c\/p\u003e \u003cp\u003eLine Charts 57\u003c\/p\u003e \u003cp\u003eStraight Lines 57\u003c\/p\u003e \u003cp\u003eAdjusting the Time Dimension 58\u003c\/p\u003e \u003cp\u003eStep Charts 59\u003c\/p\u003e \u003cp\u003eJump Lines 59\u003c\/p\u003e \u003cp\u003eContinuous Date Fields 61\u003c\/p\u003e \u003cp\u003eHighlight Tables 64\u003c\/p\u003e \u003cp\u003eStep 1: Cross Tables 64\u003c\/p\u003e \u003cp\u003eStep 2: Add Color 64\u003c\/p\u003e \u003cp\u003eStep 3: Change the Mark Type 66\u003c\/p\u003e \u003cp\u003eHeatmaps 67\u003c\/p\u003e \u003cp\u003eStep 1: Build the Table 67\u003c\/p\u003e \u003cp\u003eStep 2: Choose an Interesting Color Palette 68\u003c\/p\u003e \u003cp\u003eStep 3: Change the Size of Marks 69\u003c\/p\u003e \u003cp\u003eBullet Charts 69\u003c\/p\u003e \u003cp\u003eStep 1: Side-By-Side Bars 71\u003c\/p\u003e \u003cp\u003eStep 2: Overlay the Measures 71\u003c\/p\u003e \u003cp\u003eCumulative Sums with Waterfall Charts 73\u003c\/p\u003e \u003cp\u003eStep 1: Sorted Bar Chart 73\u003c\/p\u003e \u003cp\u003eStep 2: Cumulative Sum and Gantt bars 74\u003c\/p\u003e \u003cp\u003eStep 3: Calculate the Step Size 75\u003c\/p\u003e \u003cp\u003eReflection: The Anatomy of a Tableau Visualization 77\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 4: Aggregate Functions, Calculated Fields, and Parameters 81\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eAggregate Functions 82\u003c\/p\u003e \u003cp\u003eCalculated Fields 84\u003c\/p\u003e \u003cp\u003eAggregations in Calculated Fields 86\u003c\/p\u003e \u003cp\u003eText Operators 88\u003c\/p\u003e \u003cp\u003eSplits 88\u003c\/p\u003e \u003cp\u003eShortening Character Strings 89\u003c\/p\u003e \u003cp\u003eConverting Between Uppercase and Lowercase 90\u003c\/p\u003e \u003cp\u003eReplacing Substrings 90\u003c\/p\u003e \u003cp\u003eDate Fields 90\u003c\/p\u003e \u003cp\u003eDate Parts 90\u003c\/p\u003e \u003cp\u003eTraditional Gregorian and ISO 8601 Calendars 91\u003c\/p\u003e \u003cp\u003eDate Calculations 92\u003c\/p\u003e \u003cp\u003eParsing Date Parts 92\u003c\/p\u003e \u003cp\u003eDate Format Conversions 93\u003c\/p\u003e \u003cp\u003eLogical Functions in Calculated Fields 94\u003c\/p\u003e \u003cp\u003eCase Discrimination 94\u003c\/p\u003e \u003cp\u003eCase Discrimination with IF-THEN-ELSE Logic 95\u003c\/p\u003e \u003cp\u003eCase Discrimination with the IIF Function 96\u003c\/p\u003e \u003cp\u003eWorking with NULL Values 97\u003c\/p\u003e \u003cp\u003eParameters 97\u003c\/p\u003e \u003cp\u003eCreating a Parameter and Displaying the Control Element 97\u003c\/p\u003e \u003cp\u003eParameters in Calculated Fields 98\u003c\/p\u003e \u003cp\u003eSearching Text Fields 100\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 5: Table Calculations and Level of Detail Calculations 105\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eDifferent Types of Calculations 106\u003c\/p\u003e \u003cp\u003eOrder of Processing Steps 107\u003c\/p\u003e \u003cp\u003eQuick Table Calculations 107\u003c\/p\u003e \u003cp\u003eSetting Up a Quick Table Calculation 107\u003c\/p\u003e \u003cp\u003eDuplicate as Crosstab 110\u003c\/p\u003e \u003cp\u003eEditing Table Calculations 110\u003c\/p\u003e \u003cp\u003eCustomized Table Calculations 113\u003c\/p\u003e \u003cp\u003eBump Charts 113\u003c\/p\u003e \u003cp\u003eDual Axis Charts 116\u003c\/p\u003e \u003cp\u003eAdjustable Moving Average 118\u003c\/p\u003e \u003cp\u003eLevel of Detail Expressions 123\u003c\/p\u003e \u003cp\u003eKeywords and Syntax 123\u003c\/p\u003e \u003cp\u003eCohort Analysis 124\u003c\/p\u003e \u003cp\u003eRegional Averages 125\u003c\/p\u003e \u003cp\u003eHigher-Level Regions 127\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 6: Maps 131\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eSymbol Maps 132\u003c\/p\u003e \u003cp\u003eFilled Maps 134\u003c\/p\u003e \u003cp\u003eDensity Maps 134\u003c\/p\u003e \u003cp\u003eMap Layers 136\u003c\/p\u003e \u003cp\u003eMaps with Pie Charts 137\u003c\/p\u003e \u003cp\u003eCreating a Pie Chart Map 138\u003c\/p\u003e \u003cp\u003eAdding a Filter 138\u003c\/p\u003e \u003cp\u003eDual Axis Map 139\u003c\/p\u003e \u003cp\u003eViz in Tooltip 140\u003c\/p\u003e \u003cp\u003eStep 1: Create the Second Chart 141\u003c\/p\u003e \u003cp\u003eStep 2: Embedding the Chart in Tooltips 142\u003c\/p\u003e \u003cp\u003eReflection: The Anatomy of a Tableau Map 143\u003c\/p\u003e \u003cp\u003eAlternative Map Services 144\u003c\/p\u003e \u003cp\u003eMapbox Maps 145\u003c\/p\u003e \u003cp\u003eMapbox Account and Token 145\u003c\/p\u003e \u003cp\u003eMapbox in Tableau 146\u003c\/p\u003e \u003cp\u003eUsing the Background Map 146\u003c\/p\u003e \u003cp\u003eSpatial Data 147\u003c\/p\u003e \u003cp\u003eUndersea Communication Cables 148\u003c\/p\u003e \u003cp\u003eOpen Data 152\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 7: Advanced Analytics: Trends, Forecasts, Clusters, and other Statistical Tools 155\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eOverview of the Tableau Analytics Pane 156\u003c\/p\u003e \u003cp\u003eConstant, Average, and Reference Lines 157\u003c\/p\u003e \u003cp\u003eTrend Lines 157\u003c\/p\u003e \u003cp\u003eAdding Trend Lines 158\u003c\/p\u003e \u003cp\u003eTrend Line Options 160\u003c\/p\u003e \u003cp\u003eLine and Trend Model Description 161\u003c\/p\u003e \u003cp\u003eForecasts 162\u003c\/p\u003e \u003cp\u003eAdding a Forecast Line to the View 162\u003c\/p\u003e \u003cp\u003eForecast Settings 162\u003c\/p\u003e \u003cp\u003eModel Description 164\u003c\/p\u003e \u003cp\u003eCluster Analysis 166\u003c\/p\u003e \u003cp\u003eClustering in Tableau 166\u003c\/p\u003e \u003cp\u003eSaving and Working with Clustering Results 167\u003c\/p\u003e \u003cp\u003ePython, R, and MATLAB Integration 168\u003c\/p\u003e \u003cp\u003eGetting Started with Python and TabPy 169\u003c\/p\u003e \u003cp\u003eConnecting Tableau with TabPy 170\u003c\/p\u003e \u003cp\u003ePython Scripts in Calculated Fields 172\u003c\/p\u003e \u003cp\u003eTrellis Chart with Python Script 173\u003c\/p\u003e \u003cp\u003eR Integration 174\u003c\/p\u003e \u003cp\u003eSecurity 175\u003c\/p\u003e \u003cp\u003eExample: Local Regression with R 175\u003c\/p\u003e \u003cp\u003eMATLAB Integration 178\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 8: Interactive Dashboards 181\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePreliminary Considerations 182\u003c\/p\u003e \u003cp\u003eCreating a New Dashboard 183\u003c\/p\u003e \u003cp\u003eThe Dashboard Pane 184\u003c\/p\u003e \u003cp\u003ePlacing Charts on the Dashboard 185\u003c\/p\u003e \u003cp\u003eDashboard Titles 187\u003c\/p\u003e \u003cp\u003eNavigation Buttons 188\u003c\/p\u003e \u003cp\u003eDashboard Actions 191\u003c\/p\u003e \u003cp\u003eFilter Actions 191\u003c\/p\u003e \u003cp\u003eAdding and Editing Filter and Highlight Actions 193\u003c\/p\u003e \u003cp\u003eAdding Web Content via URL Actions 195\u003c\/p\u003e \u003cp\u003eEmail Notifications via URL Actions 198\u003c\/p\u003e \u003cp\u003eDashboard Starters: Templates for Cloud Data 199\u003c\/p\u003e \u003cp\u003eDashboard Best Practices and Inspiration 201\u003c\/p\u003e \u003cp\u003eDesign Tips for Creating a Dashboard 201\u003c\/p\u003e \u003cp\u003eTableau Public: A Gallery of Inspiration 202\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 9: Sharing Insights with Colleagues and the World 205\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003ePreliminary Considerations 206\u003c\/p\u003e \u003cp\u003eTableau Online and Tableau Server 207\u003c\/p\u003e \u003cp\u003ePublishing 207\u003c\/p\u003e \u003cp\u003eAsk Data 211\u003c\/p\u003e \u003cp\u003eTableau Mobile 212\u003c\/p\u003e \u003cp\u003eTableau Public 213\u003c\/p\u003e \u003cp\u003ePublishing to Tableau Public 214\u003c\/p\u003e \u003cp\u003eYour Tableau Public Profile 216\u003c\/p\u003e \u003cp\u003eWeb Embedding 216\u003c\/p\u003e \u003cp\u003e\u003cb\u003eChapter 10: Data Preparation with Tableau Prep 221\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eConnecting to Data 222\u003c\/p\u003e \u003cp\u003eWildcard Unions 226\u003c\/p\u003e \u003cp\u003eAdditional Connections 228\u003c\/p\u003e \u003cp\u003eInspecting the Data 229\u003c\/p\u003e \u003cp\u003eRemoving Unneeded Fields 230\u003c\/p\u003e \u003cp\u003eData Cleaning and Formatting 231\u003c\/p\u003e \u003cp\u003eCleaning Steps and the Profile Pane 231\u003c\/p\u003e \u003cp\u003eCalculated Fields 233\u003c\/p\u003e \u003cp\u003eBuilt-in Cleaning Features 235\u003c\/p\u003e \u003cp\u003eRenaming Cleaning Steps 235\u003c\/p\u003e \u003cp\u003eUnions 237\u003c\/p\u003e \u003cp\u003eJoins 238\u003c\/p\u003e \u003cp\u003eSplits 239\u003c\/p\u003e \u003cp\u003eGrouping 240\u003c\/p\u003e \u003cp\u003eJoining 240\u003c\/p\u003e \u003cp\u003eRunning the Flow and Outputting the Data 242\u003c\/p\u003e \u003cp\u003eSaving Flows 244\u003c\/p\u003e \u003cp\u003eIndex 245\u003c\/p\u003e  \u003cp\u003e\u003cb\u003eAlexander Loth\u003c\/b\u003e 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.   \u003c\/p\u003e\u003cp\u003e\u003cb\u003eA 4-COLOR JOURNEY THROUGH A COMPLETE TABLEAU VISUALIZATION FOR NON-TECHNICAL BUSINESS USERS\u003c\/b\u003e \t \u003c\/p\u003e\u003cp\u003eTableau 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. \u003ci\u003eVisual Analytics with Tableau\u003c\/i\u003e 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. \u003c\/p\u003e\u003cp\u003eThis 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 ecosystem—Tableau Desktop, Tableau Prep, Tableau Server, Tableau Online, and Tableau Public—enable you to integrate, clean, and prepare your data and share your work with others. Visual Analytics with Tableau: \u003c\/p\u003e\u003cul\u003e \u003cli\u003eCovers the newest versions of Tableau 2018.3 and 2019.1 plus Tableau Prep, Tableau's brand-new data integration application\u003c\/li\u003e \u003cli\u003eRequires no background in mathematics nor any programming experience\u003c\/li\u003e \u003cli\u003eFocuses on the visual analytics functionality of Tableau rather than complex statistical programming\u003c\/li\u003e \u003cli\u003eOffers expert guidance from popular Tableau Germany employee and visualization expert Alexander Loth\u003c\/li\u003e \u003cli\u003eDiscusses advanced Tableau functionality and working with different data structures\u003c\/li\u003e \u003cli\u003eProvides easy-to-follow instructions, full-color illustrations, learning tools, online resources, and more\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003eIf 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. \u003cb\u003e—Eva Murray\u003c\/b\u003e, Head of BI and Tableau Zen Master at Exasol \t \u003c\/p\u003e\u003cp\u003eIf 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. \u003cb\u003e—Andy Cotgreave\u003c\/b\u003e, Author of \u003ci\u003eBig Book of   Dashboards\u003c\/i\u003e and Technical Evangelist  at Tableau Software \t \u003c\/p\u003e\u003cp\u003e\u003ci\u003eVisual Analytics with Tableau\u003c\/i\u003e – 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! \u003cb\u003e—Klaus Schulte\u003c\/b\u003e, Professor at Münster   School of Business \u0026amp; 2019 Tableau   Zen Master\u003c\/p\u003e","brand":"Wiley","offers":[{"title":"Default Title","offer_id":47990457598181,"sku":"NP9781119560203","price":40.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9781119560203.jpg?v=1761787906","url":"https:\/\/k12savings.com\/es\/products\/visual-analytics-with-tableau-isbn-9781119560203","provider":"K12savings","version":"1.0","type":"link"}