Data Visualization: Principles and Practice
The goal of data visualization is to use images to improve our understanding of a dataset, drawing on techniques from mathematics, computer science, cognitive and perception science, and physics. Get and download textbook Data Visualization: Principles and Practice for free
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 easy and fun with this practical, hands-on introduction. Author Scott Murray teaches you the fundamental concepts and methods of D3, a JavaScript library that lets you express data visually in a web browser. Along the way, you'll expand your web programming skills, using tools such as HTML and JavaScript.This step-by-step guide is ideal whether you're a designer or visual artist with no programming experience, a reporter exploring the new frontier of data journalism, or anyone who wants to visualize and share data.Learn HTML, CSS, JavaScript, and SVG basics Dynamically generate web page elements from your data--and choose visual encoding rules to style them Create bar charts, scatter plots, pie charts, stacked bar charts, and force-directed layouts Use smooth, animated transitions to show changes in your data Introduce interactivity to help users explore data through different views Create customized geographic maps with data Explore hands-on with downloadable code and over 100 examples
In this introductory text, the author provides a compact introduction to the field that allows readers to learn about visualization techniques. The material focuses on those techniques and methods that have a broad applicability in visualization applications, occur in most practical problems in various guises, and do not demand a specialized background to be understood. However, the author has also included a number of less mainstream visualization techniques. With these methods, the book gives the reader an idea of the large variety of applications Data Visualization new edition
Download free books for Handbook of Statistics 24: Data Mining and Data Visualization
Handbook of Statistics 24: Data Mining and Data Visualization: CR Rao, EJ Wegman, JL Solka
Written by the author of the lattice system, this book describes lattice in considerable depth, beginning with the essentials and systematically delving into specific low levels details as necessary. No prior experience with lattice is required to read the book, although basic familiarity with R is assumed. The book contains close to 150 figures produced with lattice. Many of the examples emphasize principles of good graphical design; almost all use real data sets that are publicly available in various R packages. All code and figures in the book are also available online, along with supplemen
Categories: Information visualization, Data mining. Contributors: Glenn J. Myatt - Author. Format: Paperback
Categories: Information visualization, Data mining. Contributors: Glenn J. Myatt - Author. Format: Paperback
Data Visualization Textbook
With these methods, the book gives the reader an idea of the large variety of applications
