Tableau Desktop Cookbook Quick Simple Recipes to Help You Navigate Tableau Desktop 1st Edition by Lorna Brown ISBN 1492090115 ‎ 978-1492090113

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Product details:

ISBN 10: 1492090115
ISBN 13: ‎ 978-1492090113
Author: Lorna Brown

Whether you’re a beginner just learning how to create data visualizations or a Jedi who’s already used Tableau for years, this cookbook has a recipe for everyone. Author Lorna Brown provides more than 100 practical recipes to enhance the way you build Tableau dashboards–and helps you understand your data through the power of Tableau Desktop’s interactive data visualizations.

With this cookbook, Tableau beginners will learn hands-on how this unique self-serve tool works, while experienced users will find this book to be an ideal reference guide on how to employ specific techniques. It also links you to online resources and community features, such as Tableau Tip Tuesday and Workout Wednesday. By the time you reach the end, you’ll be a competent user of Tableau Desktop.

You’ll learn how to:

• Build both basic and complex data visualizations with Tableau Desktop
• Gain hands-on experience with Tableau’s latest features, including set and parameter actions
• Create interactive dashboards to support business questions
• Improve your analytical skills to enhance the visualizations you’ve already created
• Learn data visualization skills and best practices to help you and your organization

Tableau Desktop Cookbook Quick Simple Recipes to Help You Navigate Tableau Desktop 1st  Table of contents:

Preface

• Acknowledgments
• Introduction to Tableau Desktop and the Cookbook Approach
• How to Use This Book: A Recipe-Based Guide

Chapter 1: Getting Started with Tableau Desktop

• Recipe 1.1: Installing and Setting Up Tableau Desktop
• Recipe 1.2: Connecting to Your First Data Source
• Recipe 1.3: Navigating the Tableau Desktop Interface
• Recipe 1.4: Creating Your First Simple Visualization
• Recipe 1.5: Customizing Your Tableau Workspace

Chapter 2: Data Connections and Preparation

• Recipe 2.1: Connecting to Excel, CSV, and Google Sheets
• Recipe 2.2: Connecting to Databases (SQL, MySQL, etc.)
• Recipe 2.3: Preparing Data for Analysis with Data Interpreter
• Recipe 2.4: Joining and Blending Multiple Data Sources
• Recipe 2.5: Data Filtering and Cleaning Techniques

Chapter 3: Creating Basic Visualizations

• Recipe 3.1: Creating a Simple Bar Chart
• Recipe 3.2: Creating Line and Area Charts
• Recipe 3.3: Pie Charts and Donut Charts
• Recipe 3.4: Scatter Plots for Correlation Analysis
• Recipe 3.5: Building a Heat Map for Data Density

Chapter 4: Working with Dimensions and Measures

• Recipe 4.1: Understanding Dimensions and Measures
• Recipe 4.2: Using Filters for Dimension and Measure Data
• Recipe 4.3: Sorting and Grouping Your Data
• Recipe 4.4: Creating Calculated Fields for Advanced Analysis
• Recipe 4.5: Creating and Using Parameters in Visualizations

Chapter 5: Building Interactive Dashboards

• Recipe 5.1: Introduction to Dashboards
• Recipe 5.2: Combining Multiple Views into a Dashboard
• Recipe 5.3: Using Filters and Actions for Interactivity
• Recipe 5.4: Designing a Mobile-Responsive Dashboard
• Recipe 5.5: Using Dynamic Titles and Labels in Dashboards

Chapter 6: Advanced Visualization Techniques

• Recipe 6.1: Creating Dual-Axis Charts
• Recipe 6.2: Using Reference Lines and Reference Bands
• Recipe 6.3: Creating Tree Maps for Hierarchical Data
• Recipe 6.4: Bullet Graphs for Performance Monitoring
• Recipe 6.5: Mapping Your Data: Creating Geographic Visualizations

Chapter 7: Working with Table Calculations and Aggregations

• Recipe 7.1: Introduction to Table Calculations
• Recipe 7.2: Creating Running Totals and Moving Averages
• Recipe 7.3: Customizing Percentages and Ratios in Visualizations
• Recipe 7.4: Using LOD (Level of Detail) Expressions
• Recipe 7.5: Advanced Aggregation and Filtering Techniques

Chapter 8: Data Visualization Best Practices

• Recipe 8.1: Choosing the Right Chart Type for Your Data
• Recipe 8.2: Effective Use of Colors and Labels
• Recipe 8.3: Using Annotations for Clarity and Insight
• Recipe 8.4: Ensuring Accessibility in Your Visualizations
• Recipe 8.5: Designing Dashboards for Storytelling

Chapter 9: Sharing and Publishing Your Work

• Recipe 9.1: Exporting Your Visualizations to Image and PDF Formats
• Recipe 9.2: Publishing to Tableau Public and Tableau Server
• Recipe 9.3: Sharing Dashboards via Web and Mobile
• Recipe 9.4: Embedding Tableau Visualizations in Websites
• Recipe 9.5: Setting Permissions for Collaborative Work

Chapter 10: Troubleshooting and Optimizing Tableau Workbooks

• Recipe 10.1: Troubleshooting Slow Performance in Tableau
• Recipe 10.2: Optimizing Large Data Sets for Faster Processing
• Recipe 10.3: Debugging and Fixing Data Connection Errors
• Recipe 10.4: Improving Dashboard Load Times
• Recipe 10.5: Maintaining Clean and Organized Workbooks

Chapter 11: Exploring Tableau’s Advanced Features

• Recipe 11.1: Creating Custom Visualizations with Tableau Prep
• Recipe 11.2: Using Tableau’s Web Data Connector
• Recipe 11.3: Integrating Tableau with R and Python for Advanced Analytics
• Recipe 11.4: Automating Data Refreshes and Extracts
• Recipe 11.5: Exploring Tableau’s AI and Machine Learning Features

Chapter 12: Tableau for Collaboration and Teamwork

• Recipe 12.1: Collaborating with Tableau Online and Server
• Recipe 12.2: Managing Permissions and Security for Shared Dashboards
• Recipe 12.3: Version Control and Workbook Management
• Recipe 12.4: Commenting and Annotations for Team Collaboration
• Recipe 12.5: Using Tableau with Slack for Team Notifications

Conclusion

• Summarizing Key Takeaways from the Cookbook
• How to Continue Mastering Tableau
• Additional Learning Resources and Communities

Appendices

• Appendix A: Tableau Shortcuts and Tips
• Appendix B: List of Recommended Tableau Resources (Books, Online Courses, Forums)
• Appendix C: Troubleshooting Glossary
• Appendix D: Useful Calculations and Formulas

Index

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Lorna Brown,Tableau Desktop,Navigate Tableau