DataMasher: Visualize and Share Data - information aest DataMasher [] helps citizens creating mashups of data pulled from to visualize them in different ways, and to analyze how states compare on important issues. Users can combine different data sets in several ways and create their own custom rankings and color-coded maps of the US states. Already available maps include comparisons of obesity rates in children and how much is spent on their education (per capita), the most unhealthy states (cancer rate times infant mortality rate), or right brain versus left brain (or, in other words SAT Scores - Mathematics divided by SAT Scores - Reading). DataMasher: Visualize and Share Data - information aest
Faciliter l’accès à l’information pour favoriser de meilleures politiques économiques. C’est autour de cet objectif commun que le Centre de développement de l’OCDE et le site Internet ont conclu un partenariat visant à faciliter l’accès à la base de données Égalité homme-femme, Institutions et Développement (EID-BD) afin de sensibiliser les internautes sur ce sujet d'actualité croissante. Ces derniers pourront ainsi constater les corrélations entre les inégalités hommes-femmes et d'autres problématiques importantes auxquelles la société se trouve aujourd'hui confrontée. Ils pourront ensuite échanger, discuter et débattre entre eux pour mieux comprendre les disparités hommes-femmes dans le monde et militer en faveur de politiques plus effectives qui pourront contribuer à améliorer la condition féminine dans le monde. Le Centre de développement de l'OCDE et s’associent p Le Centre de développement de l'OCDE et s’associent p
OECD Development Centre - Swivel
Social Visualization Software Review: Swivel - information aesth As Google (Public Data Explorer) and Microsoft (Pivot) are getting into the mix of online data visualization tools, it is evident that this is a realm to carefully watch. Public data is de rigeur and blogs in this field are becoming ubiquitous, hence the perfect storm for online visualization. While public data is not necessary for online viz, it certainly makes it easy for the masses to enter the fray of data analytics. Social Visualization Software Review: Swivel - information aesth
Relief » Swivel : partage de données et graphiques Relief » Swivel : partage de données et graphiques Le partage de l’information sur le Web va prendre des proportions incommensurables. Wikipedia, surtout, et les blogues ont conféré au mouvement sa crédibilité. Flickr, YouTube et SlideShare font exploser le monde de l’image. Swivel poursuit la lancée du côté des données et des graphiques. Vous cherchez des statistiques?
Swivel: I'm Intrigued...and C
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Today, you will find 900 billion charts offline but only 40 million charts online. Because of that, iCharts believes it currently must be too difficult to bring charts online. So it has developed an easy way to create, share, and embed interactive charts. TC50: iCharts Wants To Be The YouTube For Charts TC50: iCharts Wants To Be The YouTube For Charts
iCharts: YouTube for Interactive Charts iCharts: YouTube for Interactive Charts Yet another competitor of Many Eyes, Swivel, Track-n-Graph, WidGenie and Trendrr (which will be discussed in the next post): iCharts [] aims to optimize the creation, sharing and embedding of interactive charts in online websites, as well as in offline PDF and PowerPoint documents. As an additional feature, users are also able to add audio comments to the charts to convey the informational message more clearly. The interesting TechCrunch50 demonstration video featured below shows how the founders consider the iCharts portal to be: "The YouTube for interactive charts". However, it seems that, in contrast to the YouTube example, the combination of the social web with data visualization does not really produce many (if any) "viral" information graphs, nor does it inspire a flood of lively comment discussions.
Our global teams of analysts, researchers and editors are experts in the Retail Banking and Payments sectors providing timely data, analysis and insight that helps our clients make quicker and better decisions. More We are a leading provider of intelligence for the global construction industry supplying project, industry, market and company intelligence. Timetric: Making data useful

Timetric: Making data useful

Timetric Blog We source data from a number of large national, and trans-national, statistical bodies, like the Office of National Statistics here in the UK, or Eurostat. Downloading useful data from organizations like this is sometimes a tricky job – although publishing data is usually part of their raison d’être, they’re not usually thinking of people like us – Big Data geeks – when making their data available. And often, their methods of making data available have been essentially unchanged for the past ten or fifteen years, and even then are probably based on processes predating the Internet. One of the sources of value Timetric adds is simply making this data more widely available and accessible. But it’s also true that there’s so much more we could do if we could put our minds to using this data in new and exciting ways, rather than expending expertise on working out the best way to map old-fashioned data publication workflows to a web-centric way of working. Timetric Blog
Timetric: Graphing and Sharing the Movements of Data over Time - The "Data Visualization 2.0" space happily occupied by services as Many Eyes, Swivel, iCharts, Trendrr, Widgenie, Track-n-Graph welcomes a new member: Timetric []. The web service aims to make it as easy to upload, represent and analyze time series data. Its unique feature, next to its minimalist design, consists of updating the graphs whenever the data they are based on are updated. Next to the ability to upload personal data, the website already contains a large (actually quite overwhelming) number of datasets, situated in the economic, social and environmental realms, such as ECB exchange rates: Euro vs. USD, UK crimes: theft or unauthorised taking of a pedal cycle or global average surface temperature anomaly. Timetric: Graphing and Sharing the Movements of Data over Time -