Learning Tableau 2020 create effective data visualizations, build interactive visual analytics, and transform your organization
Thousands of enterprises worldwide use Tableau as the solution for their data issues, big and small. With this updated edition, you will develop a firm grip on data visualization using Tableau 2020 and master all of the core features that enable you to explore, prepare, fix, and present data quickly...
Main Author: | |
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Format: | eBook |
Language: | English |
Published: |
Birmingham
Packt Publishing
2020
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Edition: | Fourth edition |
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Online Access: | |
Collection: | O'Reilly - Collection details see MPG.ReNa |
Table of Contents:
- Other filtering options
- Summary
- Chapter 3: Moving Beyond Basic Visualizations
- Comparing values
- Bar charts
- Bar chart variations
- Bullet chart
- Bar-in-bar chart
- Highlighting categories of interest
- Visualizing dates and times
- Date parts, date values, and exact dates
- 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
- Cover
- Copyright
- Packt Page
- Contributors
- Table of Contents
- Preface
- Chapter 1: Taking Off with Tableau
- Connecting to data
- Foundations for building visualizations
- Measures and dimensions
- Discrete and continuous fields
- Discrete fields
- Continuous fields
- Visualizing data
- Bar charts
- Iterations of bar charts for deeper analysis
- Line charts
- Iterations of line charts for deeper analysis
- Geographic visualizations
- Filled maps
- Symbol maps
- Density maps
- Using Show Me
- Putting everything together in a dashboard
- The dashboard interface
- Visualizing multiple axes to compare different measures
- Scatterplot
- Dual-axis and combination charts
- Summary
- Chapter 4: Starting an Adventure with Calculations and Parameters
- Introduction to calculations
- The four main types of calculations
- Creating and editing calculations
- Data types
- Additional functions and operators
- Example data
- Row-level calculations
- Simple example
- More complex examples
- Extending the example
- Planning for data variations
- Aggregate calculations
- Why the row level versus aggregate difference matters
- Parameters
- Creating parameters
- Practical examples of calculations and parameters
- Fixing data issues
- Extending the data
- Enhancing user experience, analysis, and visualizations
- Meeting business requirements
- Ad hoc calculations
- Performance considerations
- Summary
- Chapter 5: Leveraging Level of Detail Calculations
- Overview of level of detail
- Level of detail calculations
- Level of detail syntax
- Level of detail types
- FIXED
- INCLUDE
- EXCLUDE
- An illustration of the difference level of detail can make
- Examples of fixed level of detail calculations
- Building your dashboard
- Summary
- Chapter 2: Connecting to Data in Tableau
- The Tableau paradigm
- A simple example
- Connecting to data
- Connecting to data in a file
- Connecting to data on a server
- Using extracts
- Connecting to data in the cloud
- Shortcuts for connecting to data
- Managing data source metadata
- Working with extracts instead of live connections
- Creating extracts
- Performance
- Portability and security
- When to use an extract
- Filtering data
- Filtering discrete (blue) fields
- Filtering continuous (green) fields
- Filtering dates