In the age of data revolution, creating compelling visualizations is no longer a luxury but has now become a necessity. With the large amounts of data generated daily, effective data visualization makes it possible to see patterns and relationships, easily share information, and explore opportunities. This article lists the best data visualization books that one must read in 2024 to understand different visualization concepts and techniques and create charts that can inspire actions.
Telling stories with data
“Storytelling with Data” is a data visualization guide for professionals. This helps build the confidence to create charts and visualizations that can inspire action. The book contains many real-world examples with step-by-step explanations, allowing readers to gain practical experience.
Fundamentals of Data Visualization
This book provides a guide to creating informative and compelling figures that help convey a compelling story. The book also provides many examples of good and bad numbers.
Interactive data visualization for the web
This book is a beginner-friendly guide to creating interactive data visualization projects on the web. It covers the basic concepts of the D3 JavaScript library and describes building an entire project from start to finish using it.
The Accidental Analyst: Show Your Data Who's Boss
This book explains how to organize and analyze data using visual analytics best practices. The authors also included many tips, tricks, and shortcuts that took them years to discover.
Info graphics
“Information Graphics” contains over 400 illustrations that help beginners understand how information graphics work on a daily basis. The book covers various infographic concepts and techniques with extensive details and explanations.
The big book of dashboards
This book is based on different industrial scenarios and offers practical and effective visualization examples. The book talks about the tools and models needed to produce informative dashboards.
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This book explains 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.
Visualizing 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 strong capabilities, which the author has highlighted in this book.
Data Visualization: A Practical Introduction
This book covers creating compelling 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 contains everything students and academics need to understand and create effective data visualizations. It allows readers to see visualizations in action and learn the tools needed to try them themselves. The book also offers checklists, tutorials and online exercises that help develop 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 explains how to automate redundant reporting and analysis.
Design of the information dashboard
“Designing Information Dashboards” focuses on the fundamental considerations when designing dashboards. The book covers common issues one may face while designing dashboards and explains some of the best practices using examples.
Visual display of quantitative information
This book consists of 250 illustrations of the best charts with a detailed description of how to analyze data effectively. The book covers topics such as faulty graphics, data density, and data graphics design techniques.
Better data visualizations
“Better Data Visualizations” covers essential strategies for creating effective data visualizations and talks about going beyond basic charts such as line, bar, and pie charts. The author uses over 500 examples to explain the do's and don'ts of data visualization.
The art of insight
“The Art of Insight” is an ideal book for data scientists and data journalists that explains how great visualization designers think. The book covers some questions such as what to visualize, how to visualize, and what is the most attractive visual style.
Health and healthcare data visualization
This book covers data visualization best practices specific to the healthcare sector. It explains how to create useful data products that can deliver powerful insights to the end user. Additionally, it also explains how to avoid some of the common pitfalls of data visualization.
Tell stories with graphics
“Storytelling with Charts” is a guide to quickly mastering the art of telling compelling stories with charts. The book provides cheat sheets, lookup tables, and quick references to help readers turn hard data into a compelling narrative.
Data Sketch
This book covers the creative process behind 24 unique data visualizations. It 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 a book that we have missed from this list, please email us at asif@marktechpost.com
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. Its most recent project is the launch of an artificial intelligence media platform, Marktechpost, which stands out for its in-depth coverage of machine learning and deep learning news, both technically sound and easily understandable to a wide audience. The platform has more than 2 million monthly views, illustrating its popularity among the public.