Web-mining.fr Enrico Bertini Edward Tufte 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 Business Week 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. Visual Display of Quantitative Information 200 pages Envisioning Information 128 pages Visual Explanations 160 pages Beautiful Evidence 214 pages Same paper and printing as in original clothbound editions. All 4 clothbound books, autographed by author $150 Available directly from Graphics Press. Die visuelle Darstellung quantitativer Informationen, (200 Seiten), $12 数量情報の視覚的表示, (200 ページ)、$12 A exibição visual das informações quantitativas, (200 paginas) $12
What's hot? Introducing Zeitgeist | Help We've just launched an exciting new project which, as you can see from the screenshot above, looks (and behaves) a bit differently from most other things on the Guardian site. Zeitgeist is a visual record of what people are currently finding interesting on guardian.co.uk at the moment. While other bits of the site are curated by editors (like the front page, or individual sections) or metadata (like blogs, which display in reverse-chronological order), Zeitgeist is dynamic, powered by the attention of users, which is why we've put this into the Community section. The combination of content objects changes throughout the day, sometimes by the minute, as activity shifts around the site, stories get linked to or talked about, new stories are published and become widely-read and so on. As well as being a different way to display and explore content, it's also a bit of an experiment. So how does a story end up in the Zeitgeist? To start with we wanted to look at how people use the site. 1.
Teaching — Enrico Bertini I have taught Information Visualization at NYU Tandon every year since 2012. The course focuses on how to design, develop and evaluate interactive data visualization solutions for complex data analysis problems. This page links to material I developed for the course. Feel free to use it in your course or to study visualization on your own. Lecture Slides Google folder containing my slides: Exercises I designed these exercises for my flipped-classroom version of the course: Data Abstraction (describe data in ways useful to vis design)Data Analysis (perform data analysis with a goal)Chart Encoding and Decoding (deconstruct a chart and encode the same data in different ways)Vis Design: Ballot Maps (design a visualization for a specific problem)Vis Design: Twitter Sentiment (design a visualization for a specific problem)Course Recap (recall main concepts from the course) Course Diary
Alberto Cairo / The Functional Art: An Introduction to Information Graphics and Visualization Spinn3r: RSS Content, News Feeds, News Content, News Crawler and Web Crawler APIs From Data Visualization to Interactive Data Analysis [Note: this essay is the written, expanded and refined version of the talk I gave at the Uber Data Visualization meetup organized in NYC on Oct. 26, 2017. You can watch the video here (sorry, very bad quality) and get access to the original slides here.] TL;DR: Visualization projects with high visibility focus on two main purposes: inspiration and explanation. Three main uses of data visualization I know I am running the risk of falling into gross simplification. Inspirational. Why talk more about data analysis? This essay, and the talk that preceded it, aims at better defining the role of visualization in data analysis and spurring more conversations about what is happening in this area of visualization which, unfortunately, it’s not blessed with the same limelight of the other purposes. But why focus on analysis? My reasoning is that data analysis is a fundamental human-technological activity that has the potential to help people solve important societal and scientific problems.
Tamara Munzner, UBC Home Page Tamara Munzner InfoVis Group Professor Department of Computer Science, University of British ColumbiaImager Graphics, Visualization and HCI Lab Email: tmm (at) cs.ubc.ca, Phone: 604-827-5200, Fax: 604-822-5485, Twitter: @tamaramunzner Snailmail: 201-2366 Main Mall, Vancouver, BC, V6T 1Z4, Canada Office: X661, in X-Wing extension behind ICICS/CS buildingOffice Hours: by appointment (email me) Calendar: My free/busy calendar
tracking news phrases over the web Data Viz Pioneer Nicholas Felton: "There Is A Real Shadow Over Data" | Co.Design | business + design Khoi Vinh, HTGT: What was your career ambition while you were at Rhode Island School of Design? Did you want to get a job at an agency or studio, or start your own agency or studio? Nicholas Felton: RISD is not a school that focuses on what’s going to happen when you leave its doors. Everybody there was pretty focused on what’s due tomorrow and what’s due this week. I got to the end of my education, and that’s when I started going to portfolio reviews in New York and showing up with a really unrefined portfolio. Was that discouraging to get that bit of cold water splashed in your face? After working at an agency, DeMassimo, you started to produce your now-famous annual reports? When did you realize people would be willing to pay for it? The first time I charged was 2007, at five dollars a piece, strictly as an experiment to see whether I could recoup some of the printing costs. Was that an eye-opening moment for you? What happened when Facebook came calling? Why is that? It’s too hard.
Nouvelles pratiques du journalisme: “Nous vivons un âge d’or” Que retenir de la journée spéciale dédiée aux nouvelles pratiques du journalisme, organisée par l’Ecole de journalisme de Sciences Po et la Graduate school of Journalism de Columbia, le 10 décembre? Voici les points clés de chaque intervention, d’Ariane Bernard, du nytimes.com, à Antoine Nazaret, de Dailymotion, en passant par Masha Rigin, du Dailybeast.com, Sarah Hinman Ryan, de Times Union, Nicolas Enault, du Monde.fr, Nicolas Kayser-Brill, d’Owni.fr, Michael Shapiro et David Klatell, de la Columbia, et Jean-François Fogel et Bruno Patino, de l’Ecole de journalisme de Sciences Po… Cliquez ici pour la lire synthèse de la journée en français Cliquez ici pour lire la synthèse de la journée en anglais [Merci à tous les éditeurs de l'Ecole de journalisme de Sciences Po qui ont produit vidéos, photos, textes, live stream et tweets pendant cette journée marathon. Cet article a été rédigé d'après leurs notes et le "live"] Ariane Bernard, home page producer, nytimes.com Le rôle de Masha Rigin?
research Many non-equilibrium processes in nature are contagion processes that spread though a system after an initial, localized outbreak occurs somewhere. News, fads, fashion and also infectious diseases spread by a combination of replication and propagation. Large scale epidemic events, such as the 2003 worldwide spread of SARS, the 2009 H1N1 pandemic are events that can be understood in terms of mathematical contagion models. A main focus of our research is the understanding of the dynamics of human infectious diseases.