Practical Tableau: 100 Tips,Tutorials,and Strategies from a Tableau Zen Master

Practical Tableau: 100 Tips,Tutorials,and Strategies from a Tableau Zen Master1491977310

Practical Tableau: 100 Tips,Tutorials,and Strategies from a Tableau Zen Master
by 作者: Ryan Sleeper
ISBN-10 书号: 1491977310
ISBN-13 书号: 9781491977316
Edition 版本: 1
Publisher Finelybook 出版日期: 2017-09-25
Pages: 260


Book Description
If you’re just getting started with Tableau software—or already know the basics—this practical book will take you to the next level for building compelling,interactive data visualization applications. Author Ryan Sleeper is one of the most qualified Tableau consultants in the world,having earned the titles of Tableau Zen Master (2016/17),Tableau Iron Viz Champion (2013),and author of the Tableau Public Visualization of the Year (2015). Practical Tableau takes you beyond web posts and videos to give you a firm understanding in Tableau for finding valuable insights in data.
You’ll start with the fundamentals—either to learn them for the first time or to brush up on key concepts—and then dive into a strategic framework for data visualization and storytelling techniques. You’ll also learn valuable tips and tricks created by the author.
Practical Tableau is organized into five sections:
Fundamentals: get started using Tableau from scratch
Framework: explore the INSIGHT framework,a proprietary process for building Tableau dashboards
Storytelling: learn tangible tactics for storytelling with data
Chart Types: use step-by-step tutorials to build a variety of charts in Tableau
Tips & Tricks: learn innovative uses of parameters,color theory,making your Tableau workbooks run efficiently,and more
Contents
Chapter 1 Theory
Chapter 2 Agile Tools
Chapter 3 Data
Chapter 4 Collecting and Displaying Records
Chapter 5 Visualizing Data with Charts
Chapter 6 Exploring Data with Reports
Chapter 7 Making Predictions
Chapter 8 Deploying Predictive Systems
Chapter 9 Improving Predictions
Chapter 10 Driving Actions
Chapter 11 An Introduction to Filters
Chapter 12 An Introduction to Calculated Fields
Chapter 13 An Introduction to Table Calculations
Chapter 14 An Introduction to Parameters
Chapter 15 An Introduction to Sets
Chapter 16 An Introduction to Level of Detail Expressions
Chapter 17 An Introduction to Dashboards and Distribution
Chapter 18 Introducing the INSIGHT Framework for Data Visualization
Chapter 19 Identify Business Question
Chapter 20 Name KPIs
Chapter 21 Shape Data
Chapter 22 Initial Concepts
Chapter 23 Gather Feedback
Chapter 24 Hone Dashboard
Chapter 25 Tell the Story
Chapter 26 Introduction to Storytelling
Chapter 27 An Analogy for Data Visualization: Tableau's Iron Viz Championship
Chapter 28 Tip 1: Know your Audience
Chapter 29 Tip 2: Smooth the Excel Transition
Chapter 30 Tip 3: Leverage Color
Chapter 31 Tip 4: Keep it Simple
Chapter 32 Tip 5: Use the Golden Ratio
Chapter 33 Retell an Old Story
Chapter 34 Don't Neglect the Setup
Chapter 35 Don't Use Pie Charts
Chapter 36 Use Corporate Chart Types
Chapter 37 Use Callout Numbers
Chapter 38 Allow Discovery
Chapter 39 Balance Data and Design
Chapter 40 Eliminate Chartjunk (but not Graphics)
Chapter 41 Freeform Dashboard Design
Chapter 42 Tell a Story
Chapter 43 A Spreadsheet is Not a Data Visualisation
Chapter 44 How to Make Highlight Tables
Chapter 45 How to Make Sparklines
Chapter 46 How to Make Small Multiples
Chapter 47 How to Make Bullet Graphs
Chapter 48 How to Make Small Multiple Stadium Maps
Chapter 49 How to Map Anything in Tableau
Chapter 50 How to Map a Sequential Path
Chapter 51 How to Make Donut Charts
Chapter 52 How to Make Funnel Charts
Chapter 53 How to Make a Symbol Map with Mapbox Integration
Chapter 54 How to Make a Filled Map
Chapter 55 How to Make a Dual-Axis Map
Chapter 56 How to Make a Dual-Axis Combo Chart
Chapter 57 How to Make a Histogram
Chapter 58 How to Make a Scatter Plot
Chapter 59 How to Make a Pareto Chart
Chapter 60 How to Make a Control Chart
Chapter 61 How to Make Dual-Axis Slope Graphs
Chapter 62 How to Create Icon-Based Navigation or Filters
Chapter 63 How to Make a What-If Analysis Using Parameters
Chapter 64 How to Change Date Aggregation Using Parameters
Chapter 65 Three Ways to Add Alerts to Your Dashboards
Chapter 66 How to Add Instructions Using Custom Shape Palettes
Chapter 67 10 Tableau Data Viz Tips I Learned from Google Analytics
Chapter 68 Tableau Pie Chart: A Better Approach
Chapter 69 How to Compare and Create Segments
Chapter 70 Five Ways to Balance Data and Design in Tableau without Graphic Design
Chapter 71 Leveraging Color to Improve Your Data Visualization
Chapter 72 Three Cool Ways to Use Dashboard Actions
Chapter 72 How to Compare Any Two Date Ranges on the Same Axis
Chapter 74 Tableau Hack: How to Conditionally Format Individual Rows or Columns
Chapter 75 Using Level of Detail Expressions to Create Benchmarks
Chapter 76 5 Tips for Creating Efficient Workbooks
Chapter 77 How to Make a Stoplight 100-Point Index
Chapter 78 The Case for One-Dimensional Unit Charts
Chapter 79 Allow Users to Choose Measures or Dimensions
Chapter 80 5 Tips for Making your Tableau Public Viz Go Viral
Chapter 81 How to Highlight a Dimension Member throughout a Workbook
Chapter 82 Tableau Hack: How to Highlight a Dimension
Chapter 83 5 Tips for Creating Efficient Workbooks
Chapter 84 Using Level of Detail Expressions to Create Benchmarks
Chapter 85 Designing Device-Specific Dashboards
Chapter 86 How to Make a Stoplight 100-Point Index
Chapter 87 The Case for One-Dimensional Unit Charts
Chapter 88 How to Highlight a Dimension
Chapter 89 Allow Users to Choose Measures and Dimensions
Chapter 90 How to Dynamically Format Numbers
Chapter 91 How to Change Date Aggregation Using Parameters
Chapter 92 How to Equalize Year Over Year Dates
Chapter 93 How to Filter Out Partial Time Periods
Chapter 94 How to Compare Two Date Ranges on One Axis
Chapter 95 How to Compare Unequal Date Ranges on One Axis
Chapter 96 How to Make a Cluster Analysis
Chapter 97 5 Tips for Making Your Tableau Public Viz Go Viral
Chapter 98 3 Ways to Make Beautiful Bar Charts in Tableau
Chapter 99 3 Ways to Make Lovely Line Graphs in Tableau
Chapter 100 3 Ways Psychological Schemas Can Improve Your Data Visualization

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