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spreadsheetjournalism spreadsheetjournalism I’m left-handed, sort of, predilection enough to qualify myself for a subscription to the Left-Handers Club newsletter, a miscellany of products and disquisitions about the minority group whose members belong to all the other ones, too. (OK; I’m an in-betweener – writes, eats, and dribbles a basketball with his left hand, throws, bowls, and actually shoots a basketball with his right.) It was a recent piece in the newsletter that raised at least one of my eyebrows (can’t recall if it was the left or right one), and got me to thinking about possible rejoinders to its central claim – namely, that handedness somehow associates itself with birth month. A survey of its left-leaning readers, respondents gathered via self-selection, measured notable left-handed disproportions for August and July, with smaller precipitates stacking in January and February. Moreover, the survey has nicely packaged its data in spreadsheet form, complete with none other than a pivot table to season the analysis.
Advertisement As Web designers, we face a daily struggle to keep pace with advances in technology, new standards and new user expectations. We spend a large part of our working life dipping in and out of recent developments in an attempt to stay both relevant and competitive, and while this is what makes our industry so exciting to be a part of, it often becomes all too easy to get caught up in the finer details. Responsive Web design, improved semantics and rich Web typography have all seen their fair share of the limelight over the last year, but two developments in particular mark true milestones in the maturation of the Web: “real-time data” and a more “personalized Web.” Real-Time Data And A More Personalized Web - Smashing Magazine Real-Time Data And A More Personalized Web - Smashing Magazine
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MyDataNews's Données Bookmarks on Delicious
#ijf11: Lessons in data journalism from the New York Times | Journalism.co.uk Editors' Blog Follow this link or scroll to the bottom to start by hearing more from New York Times graphics editor Matthew Ericson on what kind of people make up his team and how they go about working on a story The New York Times has one of the largest, most advanced graphics teams of any national newspaper in the world. Yesterday at the International Journalism Festival, NYT deputy graphics editor Matthew Ericson led an in-depth two-hour workshop on his team’s approach to visualising some of the data that flows through the paper’s stories every day. He broke the team’s strategy down in to a few key objectives, the four main ones being: #ijf11: Lessons in data journalism from the New York Times | Journalism.co.uk Editors' Blog
In October, 2010, during the Personal Democracy Forum in Barcelona, several investigative journalists explained how they managed to uncover corruption using network analysis. One of them, Dejan Milovac, wrote a story about a construction project on the Montenegrin coastline. He deconstructed the financial networks around the resort, and showed how local politicians were involved in an enterprise that was ostensibly going against all environmental rules. Below is the image illustrating result of the investigation: Influence Networks: The six degrees of investigative journalism Influence Networks: The six degrees of investigative journalism
Teaching Online Journalism » Timelines in journalism: A closer look You’re not going to create one every week, but a timeline is a useful — and helpful — type of information graphic, and fairly common in journalism. When teaching students about timelines, here are some ideas to consider and discuss: Chronology or timeline? Sometimes a timeline is not a timeline, according to Len de Groot, a longtime graphics journalist. Teaching Online Journalism » Timelines in journalism: A closer look
These will be useful to introduce students, journalists, or yourself to the concepts of data visualization. Bonus: There’s an interesting discussion on Quora about the difference between information graphics and data visualization. (1) When the Data Struts Its Stuff (April 2, 2011): A 1,000-word article that covers a lot of non-journalism work in this field, including the marvelous Gapminder World. (2) 7 Things You Should Know About Data Visualization: This two-page PDF from EduCause provides a text-only explanation. Representing large amounts of disparate information in a visual form often allows you to see patterns that would otherwise be buried in vast, unconnected data sets. … Visualizations allow you to understand and process enormous amounts of information quickly because it is all represented in a single image or animation. Teaching Online Journalism » 10 useful resources about data visualization Teaching Online Journalism » 10 useful resources about data visualization
Think Quarterly
[Last updated: 18 April 2011 -- added statistical NLP book link] There is something extraordinarily rich in the intersection of computer science and journalism. It feels like there’s a nascent field in the making, tied to the rise of the internet. The last few years have seen calls for a new class of “programmer journalist” and the birth of a community of hacks and hackers. Meanwhile, several schools are now offering joint degrees. But we’ll need more than competent programmers in newsrooms.

A computational journalism reading list

A computational journalism reading list
L’ouverture des données publiques, et après ? » Article » OWNI, Digital Journalism L’ouverture des données publiques, et après ? » Article » OWNI, Digital Journalism Daniel Kaplan, directeur de la Fing, explore les conséquences de l'ouverture des données publiques et leur réutilisation. Une réflexion nécessaire au mouvement de l'open data. Tous ceux qui, comme nous dans le cadre du programme Réutilisation des données publiques de la Fondation internet nouvelle génération, s’engagent en faveur de l’ouverture et de la réutilisation des données publiques, en espèrent des résultats féconds en termes de qualité de vie, de cohésion sociale, d’innovation et de croissance. Mais les choses pourraient se passer tout autrement. Nous devons commencer à penser aux conséquences de l’ouverture des données, pour nous assurer qu’elles soient majoritairement positives.
D'un récent voyage dans la Silicon Valley (merci aux amis du Orange Institute), je rentre avec une conviction : tout ce que nous connaissions du web va changer à nouveau avec le phénomène des big data. Il pose à nouveau, sur des bases différentes, presque toutes les questions liées à la transformation numérique. En 2008, l’humanité a déversé 480 milliards de Gigabytes sur Internet. En 2010, ce furent 800 milliards de Gygabytes, soit, comme l’a dit un jour Eric Schmidt, plus que la totalité de ce que l’humanité avait écrit, imprimé, gravé, filmé ou enregistré de sa naissance jusqu’en 2003. Ces données ne sont pas toutes des oeuvres. Big Data : Making sense at scale

Big Data : Making sense at scale

Data visualization is a medium for understanding information that had previously been the domain of scientists and researchers. Today, due to the amount of data available, there is an increasing need to find new ways of understanding what information means that is available through social networks and throughout the Web. Engaging Online Communities is a report we published this week that explores ways to engage with customers. It looks at the tools available to engage, collect and analyze information. A logical next step beyond analysis is to engage communities in ways that helps them understand information. Data visualization is increasingly seen as an effective way to do that. 3 Tips for Engaging Online Communities with Data Visualization 3 Tips for Engaging Online Communities with Data Visualization

Vers un monde de données

Par Hubert Guillaud le 16/12/10 | 1 commentaire | 4,370 lectures | Impression Nous sommes entrés dans un monde de données, dans un monde où les données sont en passe de devenir l’essence même de la connaissance et de l’information. La donnée (data) est la plus petite part d’information accessible, à la manière des zéros et des uns qui constituent les bits d’information à l’heure du numérique. Elle est déterminée par des valeurs, par des champs qui s’appliquent à elle et la qualifie.
Le journaliste du Guardian tient le site "Information is beautiful", sur lequel il met en scène toutes sortes de données. Entretien autour des problématiques que pose la visualisation de données. Boire un thé avec David McCandless d’Information is beautiful quand on s’intéresse à la visualisation de données revient un peu à partager un pétard avec ses rockers préférés quand on est une groupie. Je souris béatement tandis qu’il peste contre sa nouvelle maison qu’il juge bien trop grande et trop froide. David met de l’eau à bouillir et je remarque que même sa théière est recouverte d’une petite laine. Quelques instants plus tard, je le suis, sans sucre et sans lait, dans les escaliers qui mènent à son bureau.

Visualisation de données : rencontre avec David McCandless » Article » OWNI, Digital Journalism

Data and Visualization: Predictions for 2011 A lot of my time these days goes into planning DataMarket‘s efforts in the new year. An essential part of that is trying to grasp the major trends in areas that matter to us. DataMarket is building an active marketplace for statistics and structured data. We believe in a “visual data exploration” approach, meaning that users’ first experience with any data is a visualization that should provide a quick overview of what the data is all about, then allowing users to dig deeper to see the raw numbers, download the data in various formats, embed it in other web content or connect to the data live using our API.