10 Best Data Visualization Projects of the Year – 2010 Data visualization and all things related continued its ascent this year with projects popping up all over the place. Some were good, and a lot were not so good. More than anything, I noticed a huge wave of big infographics this year. It was amusing at first, but then it kind of got out of hand when online education and insurance sites started to game the system. Although it's died down a lot ever since the new Digg launched. That's what stuck out in my mind initially as I thought about the top projects of the year. One of the major themes for 2010 was using data not just for analysis or business intelligence, but for telling stories. So here are the top 10 visualization projects of the year, listed from bottom to top. 10. Scott Manley of the Armagh Observatory visualized 30 years of asteroid discoveries. 9. Hannah Fairfield, former editor for The New York Times, and now graphics director for The Washington Post, had a look at gas prices versus miles driven per capita. 8. 7. 6. 5. 4. 3.
Relation Browser / Visualisations showing relations | valderama.net Relation Browser - Moritz Stefaner Different types of relations, different type of entities. Number of relations should not get bigger then ~25. Ask Ken - Michael Aufreiter (Linz) In contrast to the "relation browser" (by moritz s.) here a whole graph opens. Image swirl - G. The start is a Grid View. PaperCube - Peter Bergstrom my thoughts are here Publication Map - Moritz Stefaner Publications are clustered according their cross-references of single articles. Relation Circle for Publications - Moritz Stefaner Here just one type of relation and one type of entiy is used. See infoVis Pattern .
Projet XDATA | Croiser les données pour créer de la valeur et démultiplier les usages Visual subjectivity (II) Time ago, I posted an infographic published on The New York Times, not ellaborated by its infographics team, but by a visual artist called Andrew Kuo, who explained the Lollapalooza Festival of 92 as he remembered it. It was something different, an application of infographics not using data or objective information, but feelings, opinions and ideas. Now I discover through Innovations In Newspapers that La Vanguardia gets into this new adventure with Shakira's concert. Well, it's something you can expect from a department with a chief as Jaime Serra, so involved in visual subjectivity. Facebook worldwide friendships mapped As we all know, people all over the world use Facebook to stay connected with friends and family. You meet someone. You friend him or her on Facebook to keep in touch. These friendships began within universities, but today there are friendships that connect countries. Facebook engineering intern Paul Butler visualizes these connections: I defined weights for each pair of cities as a function of the Euclidean distance between them and the number of friends between them. In other words, for each pair of countries with a friend in one country and a friend in the other, a line was drawn. It might remind you of Chris Harrison's maps that show interconnectedness via router configurations. In areas of high density it looks more or less like population density.
Pretty pictures: Can images stop data overload? 16 April 2012Last updated at 19:01 ET By Fiona Graham Technology of business reporter, BBC News Brain scan: Research suggests that one way to avoid being overloaded by data is by presenting it visually rather than text or numbers Sitting at your desk in the middle of the day, yet another email notification pops up in the corner of the screen, covering the figures you're trying to digest in the complicated spreadsheet in front of you. Your laptop is open on the desk next to you with another set of figures you need - meanwhile you're frantically tabbing through different documents on the main screen. You have a meeting in 20 minutes and you suddenly feel as if you're swimming in a sea of impenetrable data, and you're starting to sink. Welcome to the 21st Century workplace, and "data overload". Under siege You're not alone. Dr Lynda Shaw is a neuroscience and psychology lecturer at Brunel University in the west of London. "When we feel overwhelmed we start to delay making decisions." “Start Quote
Vive la data visualization dans votre navigateur ! Les interfaces de représentation de données ont un côté fascinant qui ne date pas d’hier (Data Visualization: Modern Approaches). La data visualization désigne ainsi l’art et la manière de représenter des données d’une façon élégante, efficace et instructive. Récemment, la discipline a été popularisée par la mode des infographies (dont il existe une infinité de boards sur Pinterest). J’ai déjà eu l’occasion de vous parler de projets tout à fait intéressants (La BBC tente l’ergonomie artistique) et la discipline compte d’ailleurs des praticiens chevronnés en France comme l’équipe d’ActuVisu. Mais c’est de Suisse que nous vient une très belle initiative : A Carefully Selected List of Recommended Tools. Les équipes de DataVisualization.ch ont ainsi compilé dans une liste de librairies, applications et services pour créer de belles représentations graphiques des données dans les navigateurs : Datavisualization.ch Selected Tools. Laissez un commentaire
10 Awesome Free Tools To Make Infographics Advertisement Who can resist a colourful, thoughtful venn diagram anyway? In terms of blogging success, infographics are far more likely to be shared than your average blog post. This means more eyeballs on your important information, more people rallying for your cause, more backlinks and more visits to your blog. Designing An Infographic Some great tips for designing infographics: Keep it simple! Ideas for infographic formats include: Timelines;Flow charts;Annotated maps;Graphs;Venn diagrams;Size comparisons;Showing familiar objects or similar size or value. Here are some great tutorials on infographic creation: Creating Your Infographic Plan and research.If required, use free software to create simple graphs and visualisations of data.Use vector graphic software to bring these visualisations into the one graphic. Ultimately, if you have a little design skill, the very best approach is to create all the simple graphs and illustrations yourself using vector graphic software. Stat Planet Hohli
How to be a data journalist | News Data journalism is huge. I don't mean 'huge' as in fashionable - although it has become that in recent months - but 'huge' as in 'incomprehensibly enormous'. It represents the convergence of a number of fields which are significant in their own right - from investigative research and statistics to design and programming. The idea of combining those skills to tell important stories is powerful - but also intimidating. Who can do all that? The reality is that almost no one is doing all of that, but there are enough different parts of the puzzle for people to easily get involved in, and go from there. 1. 'Finding data' can involve anything from having expert knowledge and contacts to being able to use computer assisted reporting skills or, for some, specific technical skills such as MySQL or Python to gather the data for you. 2. 3. 4. Tools such as ManyEyes for visualisation, and Yahoo! How to begin? So where does a budding data journalist start? Play around. And you know what?
Emerging Information Architectures « Srinivas Reddy’s Weblog Having just read the book on “Beautiful Data” I would like to share some of my insights/learning’s from it. The book provides examples of elegant data solutions from different domains (including space, music, medical research, web apps, government data,..). A common pattern across domains is the need for smart handling of large data sets in the different stages of information processing (be it for data collection, storage, processing, visualization or collaboration around data). When we deal with web scale data ‘discoverability’ of information is key. A transparent way to work with structured and unstructured/semi-structured data is a problem being worked on for some time now. Trends in enabling data portability in real time need notice. ‘Data quality’ is the major hurdle to beautiful data. Like this: Like Loading...
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
5 Tools for Online Journalism, Exploration and Visualization - ReadWriteCloud In our last post on data journalism, we ran across a number of tools that would be helpful for anyone who is interested in how to make sense of data. The tools represent a renaissance in how we make sense of our information culture. They provide context and meaning to the often baffling world of big data. This is a snapshot of what is available. Factual Factual provides simple APIs for building Web and mobile apps. How To Create a Table With Factual on Howcast Socrata Socrata is one of a handful of companies and organizations that are shaping the open data movement in government. Google Fusion Tables Google Fusion Tables is a Google Labs project. WikiEDData uses Google Fusion Table to map poverty levels in Washington state school districts: "Yellow indicates the latest district poverty levels are below state average, orange means the levels are above state average, and red means that the poverty levels are 10 percentage points or more above state average. Yahoo! Yahoo! OpenHeatMap
Data journalism pt1: Finding data (draft – comments invited) The following is a draft from a book about online journalism that I’ve been working on. I’d really appreciate any additions or comments you can make – particularly around sources of data and legal considerations The first stage in data journalism is sourcing the data itself. Often you will be seeking out data based on a particular question or hypothesis (for a good guide to forming a journalistic hypothesis see Mark Hunter’s free ebook Story-Based Inquiry (2010)). On other occasions, it may be that the release or discovery of data itself kicks off your investigation. There are a range of sources available to the data journalist, both online and offline, public and hidden. national and local government;bodies that monitor organisations (such as regulators or consumer bodies);scientific and academic institutions;health organisations;charities and pressure groups;business;and the media itself. Private companies and charities Regulators, researchers and the media Live data Legal considerations