Library: Data Visualization: Home

Books to Check Out

Introduction to information visualization : transforming data into meaningful information
Introduction to Information Visualization: Transforming Data into Meaningful Information is for anyone interested in the art and science of communicating data to others. It shows readers how to transform data into something meaningful - information.
Communicating data with Tableau
Go beyond spreadsheets and tables and design a data presentation that really makes an impact. This practical guide shows you how to use Tableau Software to convert raw data into compelling data visualizations that provide insight or allow viewers to explore the data for themselves.
Data fluency : empowering your organization with effective data communication
Analytical data is a powerful tool for growing companies, but what good is it if it hides in the shadows? Bring your data to the forefront with effective visualization and communication approaches, and let Data Fluency: Empowering Your Organization with Effective Communication show you the best tools and strategies for getting the job done right.
Beautiful visualization : [looking at data through the eyes of experts]
Visualization is the graphic presentation of data -- portrayals meant to reveal complex information at a glance. Think of the familiar map of the New York City subway system, or a diagram of the human brain. Successful visualizations are beautiful not only for their aesthetic design, but also for elegant layers of detail that efficiently generate insight and new understanding.
ggplot2 : elegant graphics for data analysis
This new edition to the classic book by ggplot2 creator Hadley Wickham highlights compatibility with knitr and RStudio. ggplot2 is a data visualization package for R that helps users create data graphics, including those that are multi-layered, with ease.
Data points : visualization that means something
Whether it's statistical charts, geographic maps, or the snappy graphical statistics you see on your favorite news sites, the art of data graphics or visualization is fast becoming a movement of its own. In Data Points: Visualization That Means Something, author Nathan Yau presents an intriguing complement to his bestseller Visualize This, this time focusing on the graphics side of data analysis
R data visualization cookbook : over 80 recipes to analyze data and create stunning visualizations with R
Quick answers to common problems
Design for information : an introduction to the histories, theories, and best practices behind effective information visualizations
Design for Information critically examines other design solutions —current and historic— helping you gain a larger understanding of how to solve specific problems.
Visual insights : a practical guide to making sense of data
A guide to the basics of information visualization that teaches nonprogrammers how to use advanced data mining and visualization techniques to design insightful visualizations.
The visual display of quantitative information
The classic book on statistical graphics, charts, tables. Theory and practice in the design of data graphics, 250 illustrations of the best (and a few of the worst) statistical graphics, with detailed analysis of how to display data for precise, effective, quick analysis.
Show me the numbers : designing tables and graphs to enlighten
We use tables and graphs to communicate quantitative information: the critical numbers that measure the health, identify the opportunities, and forecast the future of our organizations. Even the best information is useless, however, if its story is poorly told. This problem exists because almost no one has ever been trained to design tables and graphs for effective and efficient communication. Show Me the Numbers: Designing Tables and Graphs to Enlighten is the most accessible, practical, and comprehensive guide to table and graph design available.
Data visualization : a practical introduction
This book provides students and researchers a hands-on introduction to the principles and practice of data visualization. It explains what makes some graphs succeed while others fail, how to make high-quality figures from data using powerful and reproducible methods, and how to think about data visualization in an honest and effective way.

eBooks on Data Visualization

Better Data Visualizations: A Guide for Scholars, Researchers, and Wonks
Now more than ever, content must be visual if it is to travel far. Readers everywhere are overwhelmed with a flow of data, news, and text. Visuals can cut through the noise and make it easier for readers to recognize and recall information.
Foundations of Data Visualization
This is the first book that focuses entirely on the fundamental questions in visualization. Unlike other existing books in the field, it contains discussions that go far beyond individual visual representations and individual visualization algorithms.
Storytelling with Data: A Data Visualization Guide for Business Professionals
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.
Statistics and Data Visualisation with Python
This book is intended to serve as a bridge in statistics for graduates and business practitioners interested in using their skills in the area of data science and analytics as well as statistical analysis in general.
Data Visualisation with R: 100 Examples
Offers a comprehensive introduction to creating presentation graphics with R. Presents the complete code of 100 examples from various fields. Includes step-by-step explanations of the programming of figures, based on real data.
Data Visualization : Trends and Challenges Toward Multidisciplinary Perception
This book discusses the recent trends and developments in the fields of information processing and information visualization. In view of the increasing amount of data, there is a need to develop visualization techniques to make that data easily understandable. Presenting such approaches from various disciplines, this book serves as a useful resource for graduates.

More Books to Check Out

Building science graphics : an illustrated guide to communicating science through diagrams and visualizations
Building Science Graphics: An illustrated guide to communicating science through diagrams and visualizations is a practical guide for anyone―regardless of previous design experience and preferred drawing tools―interested in creating science-centric illustrated explanatory diagrams.
Effective data visualization : the right chart for the right data
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.
The Wall Street journal guide to information graphics : the dos and don'ts of presenting data, facts, and figures
In today’s data-driven world, professionals need to know how to express themselves in the language of graphics effectively and eloquently. Yet information graphics is rarely taught in schools or is the focus of on-the-job training. Now, for the first time, Dona M. Wong, a student of the information graphics pioneer Edward Tufte, makes this material available for all of us.
Good charts : the HBR guide to making smarter, more persuasive data visualizations
This book is much more than a set of static rules for making visualizations. It taps into both well-established and cutting-edge research in visual perception and neuroscience, as well as the emerging field of visualization science, to explore why good charts (and bad ones) create “feelings behind our eyes.”
Visualize this : the FlowingData guide to design, visualization, and statistics
Practical data design tips from a data visualization expert of the modern age

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