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World's Biggest Data Breaches & Hacks. Skip to content New! Learn to do data-viz with our online seminars. Book now! World’s Biggest Data Breaches & Hacks Loading Share this: Facebook 7,592 Twitter 11,308 Reddit 243 LinkedIn Pinterest Sign up for more! World’s Biggest data breaches and hacks. Let us know if we missed any big data breaches. Created with data-visualisation software VizSweet. » See the data: bit.ly/bigdatabreaches » Safely check if your details have been compromised in any recent data breaches: Learn to Create Impactful Infographics » Sign up to be notified when we release new graphics» Check out our beautiful books» Learn to create visualizations like this: Workshops are Beautiful Sources: IdTheftCentre, DataBreaches.net, news reports Credits: Design & concept: David McCandless Code: Tom Evans Tech: VizSweet Balloon Race Research: Miriam Quick, Ella Hollowood, Christian Miles, Dan Hampson, Duncan Geere Data: View the data Topics: Tech & Digital More Snake Oil Cannabis?

Is yours here? The Science of What We Do (and Don't) Know About Data Visualization - Robert Kosara. Gallery. "Spike" map Interactive United States population density map. Average rating: 7.5 (23 votes) 2D histogram An extension of the concept of histogram to display the colour image content. Average rating: 4.8 (5 votes) 3D graphic An example of a 3D visualisation, used in this case to represent an object. Average rating: 2.2 (11 votes) 3D Infographic This is an online application that presents backdated meteorological data from Augsburg, Germany. Average rating: 5.9 (9 votes) 3D Map 3D-rendered map of London showing landmarks and accurate locations of tube lines. Average rating: 5.8 (10 votes) 3D scatterplot Extension of a scatterplot to third dimension to represent measurements on sepals and petals of Iris flowers.

Average rating: 3 (3 votes) Accesibility Map The map shows the average number of pickups for different times of the day and days of week Average rating: 3.3 (3 votes) Accessibility map Average rating: 6.8 (4 votes) Agreement chart Average rating: 3.7 (3 votes) Annotated Google map Area profiler Bar chart. Mapping Travel, Languages & Mobile OS Usage with Twitter Data. Some of the most compelling use cases we’ve seen for analyzing Twitter data involve geolocation.

From NGO’s looking at geotagged Tweets to help deploy resources after disasters, to brands paying attention to where their fans are (or their disgruntled customers) to help drive engagement and marketing strategies, location adds key value to Tweet content. We’ve been fascinated by these use cases and have wondered what else could be done with this data.

A couple months ago our Data Science team set out to explore these questions, and to create some resources at the same time that would help others study and make use of geotagged Tweets. We brought in the team at MapBox – including data artist Eric Fischer – to help us dig into the data and visualize what we found in fast, fully navigable geotagged Twitter maps that would let us and our readers really explore this data in depth. Locals and Tourists (Round 2) Where do people tweet relative to where they live? Device Usage Patterns English only. Essential Resources: Multivariate, network and qualitative visualisations. This is part of a series of posts to share with readers a useful collection of some of the most important, effective and practical data visualisation resources.

This post presents the data visualisation tools that support the analysis and presentation of complex and multivariate data, including qualitative. Please note, I may not have personally used all the packages or tools presented but have seen sufficient evidence of their value from other sources. Whilst some inclusions may be contentious from a quality/best-practice perspective, they may still provide some good features and provide value to a certain audience out there. Finally, to avoid re-inventing the wheel, descriptive text may have been reproduced from the native websites if they provide the most articulate descriptions. Circos Circos is a software package for visualizing data and information. Examples/reference: Images KeyLines KeyLines is a JavaScript toolkit for visualising networks.

Examples/reference: Features, Intro Video. Picture Book 'Far From Home' on Behance. We’re witnessing the rise of the graph in big data. GraphLab, a popular open source project dedicated to graph analysis and machine learning, is trying to capitalize on the excitement around graphs by spinning off a commercial entity, GraphLab Inc. GraphLab creator — and University of Washington machine learning professor — Carlos Guestrin will lead the new Seattle-based company, which has raised $6.75 million from Madrona Venture Group and NEA. Graph analysis is among the hottest techniques around for making sense of large datasets, primarily by determining how tightly different data points are related or how similar they are. The term “graph” came into the broader lexicon along with social networks, which built social graphs to assess the relationships among their millions of users, but the technique has much broader uses.

My LinkedIn social graph One of Ayasdi’s graph-like data maps Google also famously uses a graph-processing system called Pregel as part of PageRank. De la “Data Science” à l’infovisualisation (1/2) : qu’est-ce qu’un data scientist. Par Rémi Sussan le 06/03/13 | 7 commentaires | 2,637 lectures | Impression Comment articuler “Science des données” et visualisation ? C’est à cette question que se sont attaqués une multitude d’experts lors de la journée d’étude PraTIC du 25 février (conçue et organisée par Etienne-Armand Amato, Etienne Perény et Jean-Christophe Plantin pour Gobelins, l’Ecole de l’Image, en partenariat avec le laboratoire Paragraphe de l’Université Paris 8 et l’Observatoire des mondes numériques en sciences humaines).

Car il s’agit de deux domaines indissociables, mais, comme l’a expliqué Jean-Christophe Plantin (@JCPlantin, blog), souvent présentés de manière séparée. Pourtant, avant toute cartographie, la sélection et la préparation des données s’imposent. La science des données est-elle une science ? En quoi consiste sa tâche ? Le domaine de la “data science” n’est pas sans susciter quelques interrogations. L’entreprise de la “data science” ne va pas sans entraîner un questionnement philosophique. Franck Ghitalla, l'as des réseaux. Franck Ghitalla est cartographe. Le métier fleure bon la Renaissance et la conquête des Amériques ou des Indes. Pourtant, rien de vieillot dans son travail de recherche et d'enseignement ou sa personne.

Les continents qu'il contribue à cartographier, représenter et analyser sont parmi les plus modernes qui soient : le Web, les réseaux sociaux, les blogs, ou tout autre tas de données gigantesques qu'on veut bien lui confier. "Qui représente le monde le possède", aime à rappeler celui qui, à 47 ans, est un pionnier de cette partie des sciences de l'information en France.

Par "carte", il faut entendre une mosaïque de disques plus ou moins gros et colorés, reliés par des arcs plus ou moins épais. Les noeuds de ce réseau peuvent être des sites Web, des articles scientifiques, des chercheurs, des projets, des centres de recherche, des personnes... Cette technique dévoile parfois l'invisible. Le projet passionne son petit groupe d'étudiants-ingénieurs de Compiègne.

Le Monde Guides d’achat Lire. Humanitarianism in the Network Age: Groundbreaking Study. My colleagues at the United Nations Office for the Coordination of Humanitarian Affairs (OCHA) have just published a groundbreaking must-read study on Humanitarianism in the Network Age; an important and forward-thinking policy document on humanitarian technology and innovation. The report “imagines how a world of increasingly informed, connected and self-reliant communities will affect the delivery of humanitarian aid. Its conclusions suggest a fundamental shift in power from capital and headquarters to the people [that] aid agencies aim to assist.”

The latter is an unsettling prospect for many. To be sure, Humanitarianism in the Network Age calls for “more diverse and bottom-up forms of decision-making—something that most Governments and humanitarian organizations were not designed for. The purpose of this blog post (available as a PDF) is to summarize the 120-page OCHA study. All in all, this is an outstanding, accurate, radical and impressively cross-disciplinary study. Summary.