Milligan Learning Tableau 2022

Create effective data visualizations, build interactive visual analytics, and improve your data storytelling capabilities
5. Auflage 2022
ISBN: 978-1-80107-964-8
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

E-Book, Englisch, 568 Seiten

Learning Tableau 2022 helps you get started with Tableau and data visualization, but it does more than just cover the basic principles. It helps you understand how to analyze and communicate data visually, and articulate data stories using advanced features.
This new edition is updated with Tableau's latest features, such as dashboard extensions, Explain Data, and integration with CRM Analytics (Einstein Analytics), which will help you harness the full potential of artificial intelligence (AI) and predictive modeling in Tableau.
After an exploration of the core principles, this book will teach you how to use table and level of detail calculations to extend and alter default visualizations, build interactive dashboards, and master the art of telling stories with data.
You'll learn about visual statistical analytics and create different types of static and animated visualizations and dashboards for rich user experiences. We then move on to interlinking different data sources with Tableau's Data Model capabilities, along with maps and geospatial visualization. You will further use Tableau Prep Builder's ability to efficiently clean and structure data.
By the end of this book, you will be proficient in implementing the powerful features of Tableau 2022 to improve the business intelligence insights you can extract from your data.

Autoren/Hrsg.

Milligan, Joshua N.

Weitere Mitwirkende

Hutchinson, Blair

Tossell, Mark

Andreoli, Roberto

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsvisualisierung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Datenbankdesign & Datenbanktheorie
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Informationsarchitektur
• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware

Inhaltsverzeichnis

Table of Contents - Taking Off with Tableau
- Connecting to Data in Tableau
- Moving Beyond Basic Visualizations
- Starting an Adventure with Calculations and Parameters
- Leveraging Level of Detail Calculations
- Diving Deep with Table Calculations
- Making Visualizations that Look Great and Work Well
- Telling a Data Story with Dashboards
- Visual Analytics: Trends, Clustering, Distributions, and Forecasting
- Advanced Visualizations
- Dynamic Dashboards
- Exploring Mapping and Advanced Geospatial Features
- Integrating Advanced Features: Extensions, Scripts and AI
- Understanding the Tableau Data Model, Joins, and Blends
- Structuring Messy Data to Work Well in Tableau
- Taming Data with Tableau Prep
- Sharing Your Data Story

Leseproben

Contents

1. Preface
   1. Who this book is for
   2. What this book covers
   3. To get the most out of this book
   4. Get in touch
2. Taking Off with Tableau
   1. Foundations for building visualizations
      1. Measures and dimensions
      2. Discrete and continuous fields
         1. Discrete fields
         2. Continuous fields
   2. Visualizing data
      1. Bar charts
      2. Line charts
         1. Iterations of line charts for deeper analysis
      3. Geographic visualizations
         1. Filled maps
         2. Symbol maps
         3. Density maps
   3. Using Show Me
   4. Putting everything together in a dashboard
      1. The dashboard interface
      2. Building your dashboard
   5. Summary
3. Connecting to Data in Tableau
   1. The Tableau paradigm
      1. The Tableau paradigm in action
   2. Connecting to data
      1. Connecting to data in a file
      2. Connecting to data on a server
      3. Connecting to data in the cloud
      4. Shortcuts for connecting to data
   3. Managing data source metadata
   4. Working with extracts instead of live connections
      1. Creating extracts
      2. Using extracts
      3. Performance
      4. Portability and security
      5. When to use an extract
   5. Using sets and groups
   6. Filtering data
      1. Filtering discrete (blue) fields
      2. Filtering continuous (green) fields
      3. Filtering dates
      4. Other filtering options
      5. Tableau Order of Operations
   7. Summary
4. Moving Beyond Basic Visualizations
   1. Comparing values
      1. Bar charts
      2. Bar chart variations
         1. Bullet chart
         2. Bar-in-bar chart
         3. Highlighting categories of interest
   2. Visualizing dates and times
      1. Date parts, date values, and exact dates
      2. Variations of date and time visualizations
      3. Gantt charts
   3. Relating parts of the data to the whole
      1. Stacked bars
      2. Treemaps
      3. Area charts
      4. Pie charts
   4. Visualizing distributions
      1. Circle charts
         1. Jittering
      2. Box and whisker plots
      3. Histograms
   5. Visualizing multiple axes to compare different measures
      1. Scatterplot
      2. Dual-axis and combination charts
   6. Summary
5. Starting an Adventure with Calculations and Parameters
   1. Introduction to calculations
      1. The four main types of calculations
      2. Creating and editing calculations
      3. Data types
      4. Additional functions and operators
      5. Understanding the data used in chapter examples
   2. Row-level calculations
      1. Concatenating strings
      2. String manipulation and conditional logic
      3. Planning for data variations
   3. Aggregate calculations
      1. Why the row-level versus aggregate difference matters
   4. Parameters
      1. Creating parameters
   5. Practical examples of calculations and parameters
      1. Fixing data issues
      2. Extending the data
      3. Enhancing user experience, analysis, and visualizations
      4. Meeting business requirements
      5. Ad hoc calculations
   6. Performance considerations
   7. Summary
6. Leveraging Level of Detail Calculations
   1. Overview of level of detail
   2. Level of detail calculations
      1. Level of detail syntax
      2. Level of detail types
         1. Fixed
         2. Include
         3. Exclude
      3. An illustration of the difference level of detail can make
   3. Examples of fixed level of detail calculations
      1. Flagging members based on historical values
      2. Latest balance for a member
   4. Examples of include level of detail expressions
      1. Average loans per member
         1. Alternative approaches
   5. Example of exclude level of detail calculations
      1. Average credit score per loan type
   6. Summary
7. Diving Deep with Table Calculations
   1. An overview of table calculations
   2. Creating and editing table calculations
   3. Quick table calculations
   4. Fundamental table calculation concepts
      1. Relative versus fixed
      2. Scope and direction
      3. Addressing and partitioning
   5. Custom table calculations
      1. Meta table functions
      2. Lookup and previous value
      3. Running functions
      4. Window functions
      5. Rank functions
      6. Script functions
      7. The Total function
   6. Practical examples
      1. Year over year growth
      2. Dynamic titles with totals
      3. Table calculation filtering (late filtering)
   7. Summary
8. Making Visualizations that Look Great and Work Well
   1. Visualization considerations
   2. Leveraging formatting in Tableau
      1. Workbook-level formatting
      2. Worksheet-level formatting
      3. Field-level formatting
         1. Custom number formatting
         2. Custom date formatting
         3. Null formatting
      4. Additional formatting options
   3. Adding value to visualizations
      1. Tooltips
         1. Viz in Tooltip
      ...

Über Autor(innen)

Milligan Joshua N.:

Joshua N. Milligan is a Hall of Fame Tableau Zen Master and 2017 Iron Viz Global finalist. His passion is training, mentoring, and helping people gain insights and make decisions based on their data through data visualization using Tableau and data cleaning and structuring using Tableau Prep. He is a principal consultant at Teknion Data Solutions, where he has served clients in numerous industries since 2004.Tossell Mark:

Mark Tossell is passionate about solving problems and improving processes using data. Tableau CRM (Einstein Analytics) and Tableau, powered by AI, are the tools of his trade. He is a proud wearer of the Salesforce Gold Hoodie and recipient of the inaugural APAC Awesome Admin award. He is also a Trailhead learning addict, having earned over 420 badges. In addition, he is honored to be a Tableau CRM Ambassador and a Salesforce Partner Solution Engineer. Mark lives in Sydney, Australia, with his wife, Christina, and son, Adam.