While there are many courses and tutorials online, learning from a book is still one of the best ways to greatly improve your skills. Below I have selected top Data Visualization books.
- Data Visualization: A Practical Introduction (2018)
- Storytelling with Data: A Data Visualization Guide for Business Professionals (2015)
- Effective Data Visualization: The Right Chart for the Right Data (2019)
- Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures (2019)
- The Truthful Art: Data, Charts, and Maps for Communication (2016)
- Good Charts: The HBR Guide to Making Smarter, More Persuasive Data Visualizations (2016)
- Data Visualization Made Simple (2018)
- Data Visualisation: A Handbook for Data Driven Design (2016)
- Data Visualisation: A Handbook for Data Driven Design (2019)
- Interactive Data Visualization for the Web: An Introduction to Designing with D3 (2017)
- Data Visualization with Python: Create an impact with meaningful data insights using interactive and engaging visuals (2019)
- Data Science from Scratch: First Principles with Python (2019)
This book provides students and researchers a hands-on introduction to the principles and practice of data visualization.
Don’t simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You’ll discover the power of storytelling and the way to make data a pivotal point in your story.
Effective Data Visualization: The Right Chart for the Right Data (2019)
Written by sought-after speaker, designer, and researcher Stephanie D. H. Evergreen, Effective Data Visualization shows readers how to create Excel charts and graphs that best communicate data findings. This comprehensive how-to guide functions as a set of blueprints―supported by research and the author’s extensive experience with clients in industries all over the world―for conveying data in an impactful way.
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences.
Every day, at work, home, and school, we are bombarded with vast amounts of free data collected and shared by everyone and everything from our co-workers to our calorie counters.
A good visualization can communicate the nature and potential impact of information and ideas more powerfully than any other form of communication.For a long time dataviz” was left to specialistsdata scientists and professional designers. No longer.
Data Visualization Made Simple is a practical guide to the fundamentals, strategies, and real-world cases for data visualization, an essential skill required in today’s information-rich world.
Never has it been more essential to work in the world of data. Scholars and students need to be able to analyze, design and curate information into useful tools of communication, insight and understanding. This book is the starting point in learning the process and skills of data visualization, teaching the concepts and skills of how to present data and inspiring effective visual design.
One of the “six best books for data geeks” – Financial Times With over 200 images and extensive how-to and how-not-to examples, this new edition has everything students and scholars need to understand and create effective data visualisations. Combining ‘how to think’ instruction with a ‘how to produce’ mentality, this book takes readers step-by-step through analysing, designing, and curating information into useful, impactful tools of communication.
Create and publish your own interactive data visualization projects on the web—even if you have little or no experience with data visualization or web development. It’s inspiring and fun with this friendly, accessible, and practical hands-on introduction.
Data Visualization with Python: Create an impact with meaningful data insights using interactive and engaging visuals (2019)
Key Features Book Description Data Visualization with Python reviews the spectrum of data visualization and its importance. Designed for beginners, it’ll help you learn about statistics by computing mean, median, and variance for certain numbers. In the first few chapters, you’ll be able to take a quick tour of key NumPy and Pandas techniques, which include indexing, slicing, iterating, filtering, and grouping.
To really learn data science, you should not only master the tools—data science libraries, frameworks, modules, and toolkits—but also understand the ideas and principles underlying them.
Best Data Visualization Books Worth Your Attention
We highly recommend you to buy all paper or e-books in a legal way, for example, on Amazon. But sometimes it might be a need to dig deeper beyond the shiny book cover. Before making a purchase, you can visit resources like Library Genesis and download some data visualization books mentioned below at your own risk. Once again, we do not host any illegal or copyrighted files, but simply give our visitors a choice and hope they will make a wise decision.
Practical Python Data Visualization: A Fast Track Approach To Learning Data Visualization With Python
Author(s): Ashwin Pajankar
ID: 2794815, Publisher: Apress, Year: 2021, Size: 5 Mb, Format: pdf
Bio-inspired Algorithms for Data Streaming and Visualization, Big Data Management, and Fog Computing
Author(s): Simon James Fong, Richard C. Millham
ID: 2884232, Publisher: Springer Singapore;Springer, Year: 2021, Size: 5 Mb, Format: pdf
Data Visualization Guide: Clear Introduction to Data Mining, Analysis, and Visualization
Author(s): Campbell, Alex
ID: 2902446, Publisher: , Year: 2021, Size: 3 Mb, Format: epub
Please note that this booklist is not absolute. Some books are really hot items according to Chicago Tribune, others are written by unknown authors. On top of that, you can always find additional tutorials and courses on Coursera, Udemy or edX, for example. Are there any other relevant books you could recommend? Drop a comment if you have any feedback on the list.