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Focus node explorer with d3.js - Excel Liberation There's a lot of different things going on in this topic. Most of them have been covered before, and lead to this mashup, but I am introducing a new kind of d3 chart (for me anyway) - I'm calling it a force directed node focus chart. It's kind of a collapsible force directed (as shown by Mike Bostok here), but no quite. Not quite a tree The data to be shown is generated by Google Apps Script from a Google Site, as shown in Analyzing site content with GAS. For a collapsible force directed chart, the data would need to be in a tree format - so for example that would work for visualizing a the layout of the pages of a site, but in this case, I'm using data that shows the relationship between topics and the pages they are referenced from - that means that each topic can appear on multiple pages, and of course multiple pages can cover multiple topics. Example Here's the generated chart - it's a map of this site. force directed node focus for this site Mashup What's needed Some parameters Some data

Big Data I : des données à vitesse grand V Dans quel domaine la vitesse liée au Big Data se manifeste-t-elle le plus aujourd’hui ? Les analystes de Big Data font des projections à partir desquelles des êtres humains, mais aussi des machines, peuvent prendre des décisions. Et cela nous permet d’accélérer le processus de décision de telle sorte que sur le marché du comptant à Wall Street, des milliards de décisions peuvent être prises en l’espace d’une seconde. Quelle expérience en rapport avec l’accélération des données vous a le plus impressionné dans le cadre de vos recherches pour le livre « Big Data » ? Ce qui m’a le plus frappé, c’est la manière dont des chercheurs de l’Université de Toronto examinent les fonctions vitales des prématurés : ils collectent 1200 données par secondes en temps réel. Pourquoi la vitesse de transfert des données a-t-elle autant évolué depuis le début de l’ère informatique ? Pourquoi avons-nous tant de mal à comprendre ces vitesses et à nous les représenter ? Bien entendu.

An Introduction to APIs - API Course About This Course Have you ever wondered how Facebook is able to automatically display your Instagram photos? How about how Evernote syncs notes between your computer and smartphone? If so, then it’s time to get excited! In this course, we walk you through what it takes for companies to link their systems together. Who Is This Course For? If you are a non-technical person, you should feel right at home with the lesson structure. Table of Contents

Bill White's Blog Big Data bullshit Je suis particulièrement étonné par le discours actuel sur les big data ; discours selon lequel nous serions passé de la causalité à la corrélation. Je pense surtout à la thèse de Viktor Mayer-Schönberger et Kenneth Cukier, dans leur livre Big Data : une révolution qui va transformer notre façon de vivre, de travailler et penser. (voir l’excellent article de recension de Hubert Guillaud : Big Data : nouvelle étape de l’informatisation du monde.) Dans leur article paru dans Le Monde Diplomatique de Juillet 2013, les auteurs écrivent : “La manière dont la société traite l’information se trouve radicalement transformée. Tout d’abord les auteurs tendent à opposer la corrélation et la causalité en faisant porter cette opposition sur celle entre le pourquoi et le comment ; ce qui est une argumentation assez surprenante. La causalité est un des pôles de la corrélation, un cas particulier (que l’on pourrait qualifier de nécessaire et suffisant).

Health and Wealth of Nations - Cesium - WebGL Virtual Globe and Map Engine Alexander Wood and Ed Mackey from Analytical Graphics, Inc. developed an app that showcases the synergy between the powerful open source visualization frameworks, D3 and Cesium. This demo is the result of a one day hackathon hosted at Analytical Graphics, Inc in April of 2013. The app repurposed Mike Bostock’s D3 recreation of Hans Roslings’ “Health and Wealth of Nations” as an interactive overlay for a Cesium geospatial view. Hans Rosling’s original 2D visualization presents 4 dimensions of data, including income, population, and life expectancy for nations over the span of 200 years. From a technical standpoint, this application demonstrates usage of key concepts for Cesium and integration with D3 visualizations. Deploying the app in a browser allows for the rapid development of meaningful visualizations by supplementing 3d environments with existing web data technologies and user interface libraries.

Coming Soon: Petabytes of Free Weather, Climate and Oceans Data UPDATE - Feb. 25, 9:45 a.m. ET: Big data applications are a key priority for Commerce Secretary Penny Pritzker, who has been pushing for Commerce Department agencies to explore ways of making more of their data available to businesses and the public. In a Feb. 24 speech in Silicon Valley, Pritzker said the Department's interest in making more weather and climate data publicly accessible also stems in part from the recognition that weather and climate-sensitive industries in the U.S. "account for roughly one-third of GDP." The National Oceanic and Atmospheric Administration gathers and distributes enough weather and climate data to support a multibillion-dollar private-sector weather industry. NOAA on Monday issued a request for information aimed at soliciting ideas from the private sector to help the federal agency free up much of the 20 terabytes of information that it gathers daily on the land, sea and air. Although a relatively obscure agency within the U.S.

TAGSExplorer: Interactively visualising Twitter conversations archived from a Google Spreadsheet MASHe Graphs can be a powerful way to represent relationships between data, but they are also a very abstract concept, which means that they run the danger of meaning something only to the creator of the graph. Often, simply showing the structure of the data says very little about what it actually means, even though it’s a perfectly accurate means of representing the data. Everything looks like a graph, but almost nothing should ever be drawn as one. Ben Fry in ‘Visualizing Data’ I got that quote from Dan Brickley’s post Linked Literature, Linked TV – Everything Looks like a Graph and like Dan I think Ben Fry has it spot on. As I start my exploration of tools like NodeXL it's very clear that being able to filter, probe and wander through the data provides far more insights to what’s going on. A recent example of this was when I was looking through the Guardian’s Using social media to enhance student experience seminar #studentexp. But what does this graph actually mean? *** TAGSExplorer ***

An Atlas of Remote Tweets and The Popularity of Null Island — John Van Hoesen Null Island, Where Art Thou? It was also interesting to see how many people had 'visited' Null Island. While it is likely impossible to decipher whether this was intentional geolocation anarchy, geohipsters at play or geocoders gone wrong, given that Null Island doesn't exist it tallied an impressive 10% of the total Twitter activity. I wouldn't have found Null Island in my childhood atlas (or using Google Earth today) but it IS a spatial entity - albeit two simple coordinates that could have just as easily been named 'Origin Island.' Null Island is a spatial reality that became a visual reality - and geohipster totem - after accepting that the multiple reports of a position of [0,0] represented 'something' (although initially just a geogoder failsafe). Although Shalanky's subtitle is "Fifty Islands I have Never Set Foot On And Never Will" I feel fortunate to have visited at least one of them - Deception Island.

Jerome Cukier Quartz/bad-data-guide D3 <div id="js_warning"><strong>JavaScript is turned off, so this page won&rsquo;t be very interactive.</strong> Switch JavaScript back on in your web browser for the full experience.</div> These tutorials have been expanded into a book, Interactive Data Visualization for the Web, published by O’Reilly in March 2013.