Data Visualization in Excel: A Guide for Beginners, Intermediates, and Wonks

This book closes the gap between what people think Excel can do and what they can achieve in the tool, with a step-by-step guide to creating more advanced and often more effective data visualizations. It is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations.

Format: Paperback / softback
Length: 384 pages
Publication date: 31 May 2023
Publisher: Taylor & Francis Ltd

This book fills the gap between what people think Excel can do and what they can achieve in the tool. Over the past few years, the recognition of the importance of effectively visualizing data has led to an explosion of data analysis and visualization software tools. However, for many people, Microsoft Excel continues to be the workhorse for their data visualization needs, not to mention the only tool that many data workers have access to. Although Excel is not a specialist data visualization platform, it does have strong capabilities. The default chart types do not need to be the limit of the tool's data visualization capabilities, and users can extend its features by understanding some key elements and strategies.

Data Visualization in Excel provides a step-by-step guide to creating more advanced and often more effective data visualizations in Excel and is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations.

Understanding the Basics of Data Visualization in Excel is essential for anyone who wants to create better, more effective, and more engaging data visualizations. This chapter covers the basics of data visualization, including the different types of charts and graphs, the importance of data preparation, and the best practices for creating effective data visualizations.

Creating Effective Data Visualizations in Excel is essential for anyone who wants to create better, more effective, and more engaging data visualizations. This chapter covers the best practices for creating effective data visualizations, including the use of color, contrast, and typography, the use of data labels and legends, and the use of interactive features such as drill-down and hover effects.

Extending the Capabilities of Data Visualization in Excel is essential for anyone who wants to create better, more effective, and more engaging data visualizations. This chapter covers the best practices for extending the capabilities of data visualization in Excel, including the use of custom charts and graphs, the use of data mashups and connectors, and the use of macros and VBA.

Conclusion: Data Visualization in Excel is a powerful tool that can help users create better, more effective, and more engaging data visualizations. By understanding the basics of data visualization, creating effective data visualizations, extending the capabilities of data visualization, and using best practices, users can create better, more effective, and more engaging data visualizations.
This book fills the gap between what people think Excel can do and what they can achieve in the tool. Over the past few years, the recognition of the importance of effectively visualizing data has led to an explosion of data analysis and visualization software tools. However, for many people, Microsoft Excel continues to be the workhorse for their data visualization needs, not to mention the only tool that many data workers have access to. Although Excel is not a specialist data visualization platform, it does have strong capabilities. The default chart types do not need to be the limit of the tool's data visualization capabilities, and users can extend its features by understanding some key elements and strategies.

Data Visualization in Excel provides a step-by-step guide to creating more advanced and often more effective data visualizations in Excel and is the perfect guide for anyone who wants to create better, more effective, and more engaging data visualizations.

Understanding the Basics of Data Visualization in Excel is essential for anyone who wants to create better, more effective, and more engaging data visualizations. This chapter covers the basics of data visualization, including the different types of charts and graphs, the importance of data preparation, and the best practices for creating effective data visualizations.

Creating Effective Data Visualizations in Excel is essential for anyone who wants to create better, more effective, and more engaging data visualizations. This chapter covers the best practices for creating effective data visualizations, including the use of color, contrast, and typography, the use of data labels and legends, and the use of interactive features such as drill-down and hover effects.

Extending the Capabilities of Data Visualization in Excel is essential for anyone who wants to create better, more effective, and more engaging data visualizations. This chapter covers the best practices for extending the capabilities of data visualization in Excel, including the use of custom charts and graphs, the use of data mashups and connectors, and the use of macros and VBA.

Conclusion: Data Visualization in Excel is a powerful tool that can help users create better, more effective, and more engaging data visualizations. By understanding the basics of data visualization, creating effective data visualizations, extending the capabilities of data visualization, and using best practices, users can create better, more effective, and more engaging data visualizations.

Weight: 868g
Dimension: 175 x 245 x 21 (mm)
ISBN-13: 9781032343266