In the era of the data revolution, creating engaging visualizations is no longer a luxury, but has become a necessity. With the large amounts of data generated daily, effective data visualization helps visualize patterns and relationships, easily share information, and explore opportunities. This article lists the top data visualization books that one should read in 2024 to understand different visualization concepts and techniques and create charts capable of inspiring action.
Tell stories with data
“Storytelling with Data” is a data visualization guide for business professionals. Help build confidence to create charts and visualizations that inspire action. The book has numerous real-world examples with step-by-step explanations, allowing readers to gain practical experience.
Data Visualization Fundamentals
This book provides a guide to creating informative and compelling figures that help convey a compelling story. The book also provides ample examples of good and bad numbers.
Interactive data visualization for the web
This book is a beginner's guide to creating interactive data visualization projects on the web. It covers the basics of the D3 JavaScript library and walks through creating a complete project from start to finish using it.
The accidental analyst: show your data who's boss
This book covers how to organize and analyze data using visual analysis best practices. The authors have also included numerous tips, tricks, and shortcuts that took them years to discover.
Information graphics
“Information Graphics” has over 400 illustrations that help beginners understand how information graphics work on a daily basis. The book covers various infographic concepts and techniques with great detail and explanations.
The big book of panels
This book is based on different industrial scenarios and offers practical and effective visualization examples. The book talks about the tools and models necessary to produce information panels.
Visualize this
This book covers how to present and communicate information in an engaging and easy-to-understand way. The author explains how to design meaningful visualizations by first understanding the data behind them.
Viewing data in Excel
“Data Visualization in Excel” is a complete guide to creating advanced and effective data visualizations in Excel. Although Excel is not a specialized visualization tool, it has powerful capabilities that the author has highlighted in this book.
Data Visualization: A Practical Introduction
This book covers creating beautiful visualizations using the R programming language, specifically the ggplot2 library. It covers topics such as plotting continuous and categorical variables, grouping, summarizing, and transforming data for plotting, creating maps, and refining plots to make them more understandable.
Data visualization
This book has everything students and academics need to understand and create effective data visualizations. It allows readers to see the visualizations in action and learn the tools to try them out themselves. The book also provides checklists, tutorials and online exercises that help build skills and confidence.
Visualizing data with Excel dashboards and reports
This book teaches how to analyze large amounts of Excel data and report it in a meaningful way. It also teaches the fundamentals of data visualization and covers how to automate redundant reporting and analysis.
Information board design
“Digital Dashboard Design” focuses on the critical considerations when designing dashboards. The book covers common problems that one may face during dashboard design and explains some of the best practices with the help of examples.
The visual presentation of quantitative information
This book consists of 250 illustrations of the best charts with a detailed breakdown of how to analyze data effectively. The book covers topics such as malfunctioning graphical elements, data density, and data graphical design techniques.
Better data visualizations
“Better Data Visualizations” covers essential strategies for creating effective data visualizations and talks about how to go beyond basic charts like line, bar, and pie charts. The author uses over 500 examples to explain the dos and don'ts of data visualization.
The art of perception
“The Art of Insight” is an ideal book for data scientists and journalists that covers how great visualization designers think. The book covers some questions like what to visualize, how to visualize, and what is the most attractive visual style.
Viewing health and healthcare data
This book covers data visualization best practices specific to healthcare. Explains how to create useful data products capable of providing valuable information to the end user. Additionally, it also covers how to avoid some of the common mistakes in data visualization.
Tell stories with graphics
“Telling Stories with Graphics” is a guide to quickly master the art of telling compelling stories with graphics. The book provides cheat sheets, lookup tables, and quick references to help readers turn hard facts into a compelling narrative.
Data sketches
This book covers the creative process behind 24 unique data visualizations. Provides explanations of key visualization concepts and practical lessons based on data and design challenges.
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If you would like to suggest any books that we have missed on this list, please email us at [email protected]
Asif Razzaq is the CEO of Marktechpost Media Inc.. As a visionary entrepreneur and engineer, Asif is committed to harnessing the potential of artificial intelligence for social good. His most recent endeavor is the launch of an ai media platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news that is technically sound and easily understandable to a wide audience. The platform has more than 2 million monthly visits, which illustrates its popularity among the public.
