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Tableau 10 Complete Reference电子书

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3人正在读 | 0人评论 9.8

作       者:Joshua N. Milligan

出  版  社:Packt Publishing

出版时间:2018-12-24

字       数:41.6万

所属分类: 进口书 > 外文原版书 > 电脑/网络

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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.
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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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