Tableau 10 Complete Reference
图书信息
| 作者 | Joshua N. Milligan |
| 出版社 | Packt Publishing |
| ISBN | 9781789950380 |
| 出版时间 | 2018-12-24 |
| 字数 | 41.6万 |
| 分类 | 进口书,外文原版书,电脑,网络 |
读书简介
Explore and understand data with the powerful data visualization techniques of Tableau, and then communicate insights in powerful ways Key Features *Apply best practices in data visualization and chart types exploration *Explore the latest version of Tableau Desktop with hands-on examples *Understand the fundamentals of Tableau storytelling Book Description Graphical presentation of data enables us to easily understand complex data sets. Tableau 10 Complete Reference provides easy-to-follow recipes with several use cases and real-world business scenarios to get you up and running with Tableau 10. This Learning Path begins with the history of data visualization and its importance in today's businesses. You'll also be introduced to Tableau - how to connect, clean, and analyze data in this visual analytics software. Then, you'll learn how to apply what you've learned by creating some simple calculations in Tableau and using Table Calculations to help drive greater analysis from your data. Next, you'll explore different advanced chart types in Tableau. These chart types require you to have some understanding of the Tableau interface and understand basic calculations. You’ll study in detail all dashboard techniques and best practices. A number of recipes specifically for geospatial visualization, analytics, and data preparation are also covered. Last but not least, you'll learn about the power of storytelling through the creation of interactive dashboards in Tableau. Through this Learning Path, you will gain confidence and competence to analyze and communicate data and insights more efficiently and effectively by creating compelling interactive charts, dashboards, and stories in Tableau. This Learning Path includes content from the following Packt products: *Learning Tableau 10 - Second Edition by N. Milligan *Getting Started with Tableau 2018.x by Tristan Guillevin What you will learn *Build effective visualizations, dashboards, and story points *Build basic to more advanced charts with step-by-step recipes *Become familiar row-level, aggregate, and table calculations *Dig deep into data with clustering and distribution models *Prepare and transform data for analysis *Leverage Tableau’s mapping capabilities to visualize data *Use data storytelling techniques to aid decision making strategy Who this book is for Tableau 10 Complete Reference is designed for anyone who wants to understand their data better and represent it in an effective manner. It is also used for BI professionals and data analysts who want to do better at their jobs.
目录
Title Page
Copyright
Tableau 10 Complete Reference
About Packt
Why Subscribe?
Packt.com
Contributors
About the Authors
Packt Is Searching for Authors Like You
Preface
Who This Book Is For
What This Book Covers
To Get the Most out of This Book
Download the Example Code Files
Conventions Used
Get in Touch
Reviews
Creating Your First Visualizations and Dashboard
Connecting to data
Foundations for building visualizations
Measures and dimensions
Discrete and continuous
Discrete fields
Continuous fields
Visualizing data
Creating bar charts
Iterations of bar charts for deeper analysis
Creating line charts
Iterations of line charts for deeper analysis
Creating geographic visualizations
Filled maps
Symbol maps
Using Show Me
Bringing everything together in a dashboard
Building your dashboard
Summary
Working with Data in Tableau
The Tableau paradigm
A simple example
Connecting to data
Connecting to data in a file
Connecting to data on a server
Connecting to data in the cloud
Shortcuts for connecting to data
Managing data source metadata
Working with extracts instead of live connections
Creating extracts
Using extracts
Performance
Portability and security
When to use an extract
Tableau file types
Joins and blends
Joining tables
Cross – database joins
Blending data sources
Blending example
Filtering data
Filtering discrete fields
Filtering continuous fields
Filtering dates
Other filtering options
Summary
Moving from Foundational to More Advanced Visualizations
Comparing values across different dimensions
Bar charts
Bar chart variations
Bullet chart – showing progress toward a goal
Bar in bar chart
Highlighting categories of interest
Visualizing dates and times
The built-in date hierarchy
Variations of date and time visualizations
Gantt charts
Relating parts of the data to the whole
Stacked bars
Treemaps
Area charts
Pie charts
Visualizing distributions
Circle charts
Jittering
Box and whisker plots
Histograms
Visualizing multiple axes to compare different measures
Scatterplot
Dual axis
Combination charts
Summary
Using Row-Level, Aggregate, and Level of Detail Calculations
Creating and editing calculations
Overview of the three main types of calculations
Row Level examples
Aggregate Level example
Row Level or Aggregate – why does it matter?
Level of Detail calculations
Level of Detail syntax
Level of Detail example
Parameters
Creating parameters
Practical examples of calculations and parameters
Fixing data issues
Extending the data
Enhancing user experience, analysis, and visualizations
Achieving flexibility with data blends
Ad hoc calculations
Performance considerations
Summary
Table Calculations
Overview of table calculations
Creating and editing table calculations
Quick table calculations
Relative versus fixed
Scope and direction
Working with scope and direction
Addressing and partitioning
Advanced addressing and partitioning
Custom table calculations
Practical examples
Year – over – Year growth
Ranking within higher levels
Late filtering
Data densification
When and where data densification occurs
An example of leveraging data densification
Summary
Formatting a Visualization to Look Great and Work Well
Formatting considerations
Understanding how formatting works in Tableau
Worksheet level formatting
Field-level formatting
Additional formatting options
Adding value to visualizations
Tooltips
Summary
Telling a Data Story with Dashboards
Dashboard objectives
Example - is least profitable always unprofitable?
Building the views
Creating the dashboard framework
Implementing actions to tell the story
Designing for different displays and devices
How actions work
Filter actions
Highlight actions
URL actions
Example - regional scorecard
Stories
Summary
Deeper Analysis - Trends, Clustering, Distributions, and Forecasting
Trending
Customizing trend lines
Trend models
Analyzing trend models
Clustering
Distributions
Forecasting
Summary
Making Data Work for You
Structuring data for Tableau
Good structure - tall and narrow instead of short and wide
Wide data
Tall data
Wide and tall in Tableau
Good structure - star schemas
Techniques for dealing with data structure issues
Restructuring data in Tableau connections
Union files together
Originals
Prequels
Sequels
Cross-database joins
Working with different Level of Detail
Overview of advanced fixes for data problems
Summary
Advanced Visualizations, Techniques, Tips, and Tricks
Advanced visualizations
Slope chart
Lollipop chart
Waterfall chart
Sparklines
Dumbbell chart
Unit chart/symbol chart
Marimekko chart
Sheet swapping and dynamic dashboards
Dynamically showing and hiding other controls
Advanced mapping techniques
Supplementing the standard in geographic data
Manually assigning geographic locations
Creating custom territories
Ad hoc custom territories
Field – defined custom territories
Some final map tips
Using background images
Animation
Summary
Sharing Your Data Story
Presenting, printing, and exporting
Presenting
Printing
Exporting
Sharing with users of Tableau Desktop and Tableau Reader
Sharing with Tableau Desktop users
Sharing with Tableau Reader users
Sharing with users of Tableau Server, Tableau Online, and Tableau Public
Publishing to Tableau Public
Publishing to Tableau Server and Tableau Online
Interacting with Tableau Server
Additional distribution options using Tableau Server
Summary
Catching Up with Tableau 2018
Tableau Desktop
Data Source improvements
Normalized extract (2018.3)
Spatial join (2018.2)
Other Data Source improvements
Visualization improvements
Density Mark (2018.3)
Step and jump lines (2018.1)
Worksheet transparency (2018.3)
Dual Axis mapping (2018.1)
Nested sort (2018.2)
Hierarchy filtering (2018.1)
Other improvements
Dashboard improvements
Extensions (2018.2)
Dashboard navigation button (2018.3)
Navigation action (2018.3)
The Change Set Values action (2018.3)
Automatic Mobile layouts (2018.2)
Grids (2018.2)
Tableau Server/Online
Interacting
Mixed content (2018.3)
Mobile preview (2018.3)
Comments (2018.2)
Web authoring
Connecting to data (2018.1)
Other web authoring improvements
Administration
Tableau Service Manager (2018.2)
Other administrative improvements
Summary
Deal with Security
Tableau Server security
User Filters
Row-level filters
Summary
How to Keep Growing Your Skills
The Tableau Community
Tableau Public
Community projects
Ambassadors, Zen Masters, and Iron Viz
Ambassadors
Zen Masters
Iron Viz
Summary
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