Book Description
Graphical practice. Theory of data graphics.
Author : Edward R. Tufte
Publisher :
Page : 197 pages
File Size : 15,14 MB
Release : 2001-01-01
Category : Mathematics
ISBN : 9780961392147
Graphical practice. Theory of data graphics.
Author : Edward R. Tufte
Publisher :
Page : 200 pages
File Size : 45,67 MB
Release : 2001-04-20
Category :
ISBN : 9781930824133
Paperback edition of Edward Tufte's classic book on statistical charts, graphs, and tables, The Visual Display of Quantitative Information. "Best 100 books of the 20th Century." Amazon.com.
Author : Edward R. Tufte
Publisher :
Page : 356 pages
File Size : 16,37 MB
Release : 1990
Category : Cartography
ISBN : 9780961392116
Escaping flatland -- Micro/macro readings -- Layering and separation -- Small multiples -- Color and information -- Narratives and space and time -- Epilogue.
Author : Edward R. Tufte
Publisher :
Page : 136 pages
File Size : 13,12 MB
Release : 1991
Category : Cartography
ISBN :
Escaping flatland -- Micro/macro readings -- Layering and separation -- Small multiples -- Color and information -- Narratives and space and time -- Epilogue.
Author : Edward R. Tufte
Publisher :
Page : 214 pages
File Size : 15,25 MB
Release : 2006-06-29
Category :
ISBN : 9781930824164
How seeing turns into showing, how empirical observations turn into explanation and evidence. How to produce and consume evidence presentations.
Author : Riccardo Mazza
Publisher : Springer Science & Business Media
Page : 149 pages
File Size : 44,41 MB
Release : 2009-02-28
Category : Computers
ISBN : 184800219X
Information Visualization is a relatively young field that is acquiring more and more concensus in both academic and industrial environments. 'Information Visualization' explores the use of computer-supported interactive graphical representations to explain data and amplify cognition. It provides a means to comunicate ideas or facts about the data, to validate hypotheses, and facilitates the discovery of new facts via exploration. This book introduces the concepts and methods of Information Visualization in an easy-to-understand way, illustrating how to pictorially represent structured and unstructured data, making it easier to comprehend and interpret. Riccardo Mazza focuses on the human aspects of the process of visualization rather than the algorithmic or graphic design aspects.
Author : Edward Tufte
Publisher :
Page : pages
File Size : 43,14 MB
Release : 2020-08-17
Category :
ISBN : 9780961392192
Author : Edward R. Tufte
Publisher :
Page : 156 pages
File Size : 17,48 MB
Release : 1997
Category : Pattern perception
ISBN : 9781930824157
Display of information for paper and computer screens; principles of information design, design of presentations. Depicting evidence relevant to cause and effect, decision making. Scientific visualization.
Author : Kieran Healy
Publisher : Princeton University Press
Page : 292 pages
File Size : 44,19 MB
Release : 2018-12-18
Category : Social Science
ISBN : 0691181624
An accessible primer on how to create effective graphics from data 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. Data Visualization builds the reader’s expertise in ggplot2, a versatile visualization library for the R programming language. Through a series of worked examples, this accessible primer then demonstrates how to create plots piece by piece, beginning with summaries of single variables and moving on to more complex graphics. Topics include plotting continuous and categorical variables; layering information on graphics; producing effective “small multiple” plots; grouping, summarizing, and transforming data for plotting; creating maps; working with the output of statistical models; and refining plots to make them more comprehensible. Effective graphics are essential to communicating ideas and a great way to better understand data. This book provides the practical skills students and practitioners need to visualize quantitative data and get the most out of their research findings. Provides hands-on instruction using R and ggplot2 Shows how the “tidyverse” of data analysis tools makes working with R easier and more consistent Includes a library of data sets, code, and functions
Author : Nathan Yau
Publisher : John Wiley & Sons
Page : 431 pages
File Size : 13,11 MB
Release : 2011-06-13
Category : Computers
ISBN : 1118140265
Practical data design tips from a data visualization expert of the modern age Data doesn't decrease; it is ever-increasing and can be overwhelming to organize in a way that makes sense to its intended audience. Wouldn't it be wonderful if we could actually visualize data in such a way that we could maximize its potential and tell a story in a clear, concise manner? Thanks to the creative genius of Nathan Yau, we can. With this full-color book, data visualization guru and author Nathan Yau uses step-by-step tutorials to show you how to visualize and tell stories with data. He explains how to gather, parse, and format data and then design high quality graphics that help you explore and present patterns, outliers, and relationships. Presents a unique approach to visualizing and telling stories with data, from a data visualization expert and the creator of flowingdata.com, Nathan Yau Offers step-by-step tutorials and practical design tips for creating statistical graphics, geographical maps, and information design to find meaning in the numbers Details tools that can be used to visualize data-native graphics for the Web, such as ActionScript, Flash libraries, PHP, and JavaScript and tools to design graphics for print, such as R and Illustrator Contains numerous examples and descriptions of patterns and outliers and explains how to show them Visualize This demonstrates how to explain data visually so that you can present your information in a way that is easy to understand and appealing.