Data Visualization Network of Resources

The Work of Edward Tufte and Graphics Press Graphics Press LLC P.O. Box 430 Cheshire, CT 06410 800 822-2454 Edward Tufte is a statistician and artist, and Professor Emeritus of Political Science, Statistics, and Computer Science at Yale University. He wrote, designed, and self-published 4 classic books on data visualization. The New York Times described ET as the "Leonardo da Vinci of data," and Bloomberg as the "Galileo of graphics." He is now writing a book/film The Thinking Eye and constructing a 234-acre tree farm and sculpture park in northwest Connecticut, which will show his artworks and remain open space in perpetuity. Topics covered in this one-day course include: A new, widely-adopted method for presentations: meetings are smarter, more effective, 20% shorter. Fundamental design strategies for all information displays: sentences, tables, diagrams, maps, charts, images, video, data visualizations, and randomized displays for making graphical statistical inferences. New ideas on spectatorship, consuming reports.

Lostalgic Lostalgic This project is based on the entire ABC's LOST TV show scripts, 115 episodes in 7 seasons, that I managed to parse from Lostpedia. I also parsed this page with additional information about hidden characters relations. My aim for this project is not (only) to visualize some properties and patterns out of the script but actually to allow to read and enjoy the series in a different way. I plan to add new views (will inform through twitter), more aimed to reveal global patterns in the script, and I will include cliffhangers and writing teams information. Find more information about Lostalgic in this great article and interview by Greg J. This project is dedicated to the Lost writers, to the open culture and, in particular, to the community that built Lostpedia. created by Santiago Ortiz

Civic Infographics By Giulio Frigieri The importance of perception for analysis and communication through infographics In his book “Graph design for the eye and mind”, Stephen Kosslyn asserts that “a good graph forces the reader to see the information the designer wanted to convey” and this would be the very “difference between graphics for data analysis and graphics for communication”[Kosslyn, 2006]. But are there any specific instances in which we can say that a data-based graphic is designed to describe, not to analyze? The fact that an explanatory text can be added – regardless of how concise or verbose it is – is not enough to imply that a chart’s nature is prevalently descriptive. In this line of thought, we must ask ourselves whether the two functional elements of analysis and communication can ever be separated, or even controlled. Line graphs – the most popular according to Edward Tufte [Tufte, 1983] – and bar charts, for example, are usually employed to describe. Sources: Kosslyn S.M. Fienberg S.

DATATELLING | Exploratory Data Analysis and Visualization The Functional Art: An Introduction to Information Graphics and Visualization Perceptual Edge Datavisualization.ch