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Wolfram Demonstrations Project. DataMasher. 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.

DataMasher: Visualize and Share Data - information aest

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 is one of the 3 finalists of the Apps for America 2 contest, next to govpulse [], a searchable version of the Federal Register, and This We Know [], a web repository that compiles federal information on a local level. Tasty Data Goodies - Swivel. Le Centre de développement de l'OCDE et s’associent p. Faciliter l’accès à l’information pour favoriser de meilleures politiques économiques.

Le Centre de développement de l'OCDE et s’associent p

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. 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.

Social Visualization Software Review: Swivel - information aesth

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. As we announced a few months ago, we will be starting a new feature aimed at reviewing visualization tools. There are many tools out there that suit different needs and sport varied features. This ongoing feature will hopefully shed light on these tools and if they might fit into your workflow. Our first software review will focus on the arguably current big three of online dataviz tools: Swivel, Many Eyes, and Tableau Public. We chose the criteria based on user comments from our previous posts. Relief » Swivel : partage de données et graphiques. Le partage de l’information sur le Web va prendre des proportions incommensurables.

Relief » Swivel : partage de données et graphiques

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. Blog de Swivel. iCharts. TC50: iCharts Wants To Be The YouTube For Charts. Today, you will find 900 billion charts offline but only 40 million charts online.

TC50: iCharts Wants To Be The YouTube For Charts

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. The self-proclaimed “YouTube for interactive charts,” iChart provides a way for users to take data they created with other services like Excel or Google Spreadsheets, and upload that data directly to iCharts. Once collected, users need only to drag and drop the data to the chart to create a fully-modifiable and interactive chart. The startup presented today at TechCrunch50 during the Finance and Statistics session.

At the bottom of every iChart, controls let users modify the view and change the data series. Most importantly, iCharts can be published and shared with anyone visiting the site and are automatically optimized so web surfers find them as images in search. 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.

iCharts: YouTube for Interactive Charts

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. Via, and Timetric: Making data useful. 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 [].

Timetric: Graphing and Sharing the Movements of Data over Time -

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. Users can embed the resulting graphs into blogs and websites, and if the data is updated, the graphs will be updated too. Is there still enough space for new social visualization services?