50 Great Examples of Data Visualization
Wrapping your brain around data online can be challenging, especially when dealing with huge volumes of information. And trying to find related content can also be difficult, depending on what data you’re looking for. But data visualizations can make all of that much easier, allowing you to see the concepts that you’re learning about in a more interesting, and often more useful manner. Below are 50 of the best data visualizations and tools for creating your own visualizations out there, covering everything from Digg activity to network connectivity to what’s currently happening on Twitter. Music, Movies and Other Media Narratives 2.0 visualizes music. Liveplasma is a music and movie visualization app that aims to help you discover other musicians or movies you might enjoy. Tuneglue is another music visualization service. MusicMap is similar to TuneGlue in its interface, but seems slightly more intuitive. Digg, Twitter, Delicious, and Flickr Internet Visualizations
Wind Map
An invisible, ancient source of energy surrounds us—energy that powered the first explorations of the world, and that may be a key to the future. This map shows you the delicate tracery of wind flowing over the US. The wind map is a personal art project, not associated with any company. We've done our best to make this as accurate as possible, but can't make any guarantees about the correctness of the data or our software. Please do not use the map or its data to fly a plane, sail a boat, or fight wildfires :-) If the map is missing or seems slow, we recommend the latest Chrome browser. Surface wind data comes from the National Digital Forecast Database. If you're looking for a weather map, or just want more detail on the weather today, see these more traditional maps of temperature and wind.
4 Promising Curation Tools That Help Make Sense of the Web
Steven Rosenbaum is a curator, author, filmmaker and entrepreneur. He is the CEO of Magnify.net, a real-time video curation engine for publishers, brands, and websites. His book Curation Nation is slated to be published this spring by McGrawHill Business. As the volume of content swirling around the web continues to grow, we're finding ourselves drowning in a deluge of data. Where is the relevant material? Where are the best columns and content offerings? The solution on the horizon is curation. In the past 90 days alone, there has been an explosion of new software offerings that are the early leaders in the curation tools category. 1. Storify co-founder Burt Herman worked as a reporter for the Associated Press during a 12-year career, six of those in news management as a bureau chief and supervising correspondent. At the AP, editors sending messages to reporters asking them to do a story would regularly write, “Can u pls storify?” Storify is currently invite only. 2. 3. 4. Conclusion
NounProject
Datavisualization
Public Data Visualizations for Everyone
In a recent post about the shutdown of government transparency sites such as data.gov, I wrote about the need for compelling ways of telling the stories buried within open data. Among the citizenry, talk of large datasets tends to inspire glazed-over eyes rather than civic engagement. Google's recent project the Public Data Explorer is an easy and invaluable tool for telling the stories buried in public data, allowing students, journalists and citizens to create their own visualizations without requiring much technical expertise. Launched in February, the Google Public Data Explorer lets users to create visualizations from a large number of sources, including the World Bank, the U.S. But you don't need to be a geek to get started with the tool. Some sample visualizations made with the tool: U.S. Overall U.S.
actuvisu Blog
Web Squared Journal
Sipina - Arbres de décision
Supports de cours -- Data Mining
Cette page recense les supports utilisés pour mes enseignements de Machine Learning, Data Mining et de Data Science au sein du Département Informatique et Statistique (DIS) de l'Université Lyon 2, principalement en Master 2 Statistique et Informatique pour la Science des donnéEs (SISE), formation en data science, dans le cadre du traitement statistique des données et de la valorisation des big data. Je suis très attentif à la synergie forte entre l'informatique et les statistiques dans ce diplôme, ce sont là les piliers essentiels du métier de data scientist. Attention, pour la majorité, il s'agit de « slides » imprimés en PDF, donc très peu formalisés, ils mettent avant tout l'accent sur le fil directeur du domaine étudié et recensent les points importants. Cette page est bien entendu ouverte à tous les statisticiens, data miner et data scientist, étudiants ou pas, de l'Université Lyon 2 ou d'ailleurs. Nous vous remercions par avance. Ricco Rakotomalala – Université Lyon 2
