The Visual Display of Quantitative Information, 2nd Ed.

The Visual Display of Quantitative Information, 2nd Ed.

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…

If you like book The Visual Display of Quantitative Information, 2nd Ed. here is the list of books you may also like

Buy this book on Amazon

Similar books (20)

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…
Buy this book on Amazon
Fundamentals of Data Visualization: A Primer on Making Informative and Compelling Figures

Buy this book on Amazon
A Pattern Language: Towns, Buildings, Construction (Center for Environmental Structure Series)

At the core of A Pattern Language is the philosophy that in designing their environments people always rely on certain ‘languages,’ which, like the languages we speak, allow them to articulate and com…
Buy this book on Amazon
How Charts Lie: Getting Smarter about Visual Information

A leading data visualization expert explores the negative—and positive—influences that charts have on our perception of truth.

We’ve all heard that a picture is worth a thousand words, but what if we d…
Buy this book on Amazon
The Design of Everyday Things

The ultimate guide to human-centered design Even the smartest among us can feel inept as we fail to figure out which light switch or oven burner to turn on, or whether to push, pull, or slide a door. …
Buy this book on Amazon
An Introduction to Statistical Learning: with Applications in R (Springer Texts in Statistics)

An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged …
Buy this book on Amazon
How to Lie with Statistics

Darrell Huff runs the gamut of every popularly used type of statistic, probes such things as the sample study, the tabulation method, the interview technique, or the way the results are derived from t…
Buy this book on Amazon
Data-oriented design: software engineering for limited resources and short schedules

Buy this book on Amazon
Thinking with Type: A Critical Guide for Designers, Writers, Editors, and Students

The organization of letters on a blank sheet—or screen—is the most basic challenge facing anyone who practices design. What type of font to use? How big? How should those letters, words, and paragraph…
Buy this book on Amazon
Hands-On Machine Learning with Scikit-Learn and TensorFlow

A series of Deep Learning breakthroughs have boosted the whole field of machine learning over the last decade. Now that machine learning is thriving, even programmers who know close to nothing about t…
Buy this book on Amazon
Data Science from Scratch: First Principles with Python

Buy this book on Amazon
Don't Make Me Think, Revisited: A Common Sense Approach to Web Usability (Voices That Matter)

Since Don’t Make Me Think was first published in 2000, over 400,000 Web designers and developers have relied on Steve Krug’s guide to help them understand the principles of intuitive navigation and in…
Buy this book on Amazon
Houses with a Story: A Dragon’s Den, a Ghostly Mansion, a Library of Lost Books, and 30 More Amazing Places to Explore

For fans of Studio Ghibli, artist Seiji Yoshida’s fantastical art book is a perfect gift that transports readers to imaginary houses, each with their own story to tell.

A dreamer’s tree house.
A mechani…
Buy this book on Amazon
Information is Beautiful

Buy this book on Amazon
Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications

Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with dat…
Buy this book on Amazon
Superforecasting: The Art and Science of Prediction

Everyone would benefit from seeing further into the future, whether buying stocks, crafting policy, launching a new product, or simply planning the week’s meals. Unfortunately, people tend to be terri…
Buy this book on Amazon
Fundamentals of Data Engineering: Plan and Build Robust Data Systems

Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice. With this practical book, you'l…
Buy this book on Amazon
Sprint: How to Solve Big Problems and Test New Ideas in Just Five Days

From three design partners at Google Ventures, a unique five-day process for solving tough problems using design, prototyping, and testing ideas with customers.

The startups that Google Ventures invest…
Buy this book on Amazon
Designing Data-Intensive Applications

Data is at the center of many challenges in system design today. Difficult issues need to be figured out, such as scalability, consistency, reliability, efficiency, and maintainability. In addition, w…
Buy this book on Amazon
The Black Swan: The Impact of the Highly Improbable

The most influential book of the past seventy-five years: a groundbreaking exploration of everything we know about what we don’t know, now with a new section called “On Robustness and Fragility.”

A bla…
Buy this book on Amazon