Top 20 Apps For Managing Social Media -- InformationWeek Social media from Twitter to Facebook, LinkedIn to YouTube creates opportunities for building relationships, cultivating customers and promoting business, but the sea of updates and input awash with data both important and consequential can drown all but the most dogged of users. Fortunately, app developers have created more than a few devices to make keeping afloat in the social media waters manageable, sane and even productive. Yet even the tools intended to help users navigate social media ar 1 of 20 With TweetDeck, users can customize their Twitter experience with groups, columns, saved searches and automatic updates to help them stay updated about interesting people and topics. There are more than 550,000 active applications on the Facebook platform, according to social media company. After all, without add-on tools, it's all-too-easy to get lost in social media. Best Mobile Apps For Busy Professionals Top 20 Android Productivity Apps More Insights
Stories vs. Statistics The Stone is a forum for contemporary philosophers and other thinkers on issues both timely and timeless. Half a century ago the British scientist and novelist C. P. Snow bemoaned the estrangement of what he termed the “two cultures” in modern society — the literary and the scientific. These days, there is some reason to celebrate better communication between these domains, if only because of the increasingly visible salience of scientific ideas. I’ll begin by noting that the notions of probability and statistics are not alien to storytelling. With regard to informal statistics we’re a bit like Moliere’s character, who was shocked to find that he’d been speaking prose his whole life. The idea of probability itself is present in such words as “chance,” “likelihood,” “fate,” “odds,” “gods,” “fortune,” “luck,” “happenstance,” “random,” and many others. Erin Schell The so-called “conjunction fallacy” suggests another difference between stories and statistics. a.) b.)
How To Create Infographics In this tutorial you will learn that data doesn't have to be boring, it can be beautiful! Learn how to use various graph tools, illustration techniques and typography to make an accurate and inspiring infographic in Adobe Illustrator. Start by using the Rectangle Tool (M) to draw a shape. The entire design is based on a grid of four columns. Condense the shape so it fits within the left-most guide and centre guide. Move the shape over to the right and add another guide to the centre here. Using the Rectangle Tool (M) draw a thin white box on the centre line that will be the width of the gap between the columns. Repeat the process for the other columns with your final result being below. I like to place the most important graphics first and work-in the ancillary charts and graphs afterwards. Early on you can experiment with placing a main graphic that will help give the piece some visual interest. Give the circles a variety of gradients. I'm using a variety of graphs in this infographic.
everydata lab How to Become a Data Visualization Expert: A Recipe In my previous post last week I complained about the state of infovis blogging, arguing that there is not enough freely available quality material around for novices who want to learn, despite new websites and little business pop up every day. Especially, there is not much guidance for people who want to become visualization experts. So I thought, what if one is attracted by visualization and wants to start? Is there anything on the web that helps taking at least the first few steps? (Of course, I know there’s never one single right path. My recipe is simple: 1) Study a Lot 2) Steal 3) Criticize 4) Produce 5) Seek Discomfort Study a Lot Yes, I said “a lot”. Show Me the Numbers: Start from here. Read these books, take your time, reflect on their advice and techniques and be ready to refer back to them often. Steal Stealing can be good if done with the right attitude and intent. Papers from TOP conferences. One final notice. Criticize Produce Seek Discomfort
Quatre voies du datajournalism Le datajournalism ou journalisme de données, peut difficilement se résumer à un type de contenus ou à un type de démarche. Il requiert des compétences spécifiques, selon l'usage qui en est fait. J’ai eu l’impression, ces derniers jours, de répéter plusieurs fois la même chose à des personnes différentes (ce qui est un vrai plaisir quand il s’agit de datajournalism). D’où l’idée d’articuler ici ces quelques éléments récurrents. Photo CC par Ian-S sur Flickr Finalement, le datajournalism ou journalisme de données, peut difficilement se résumer à un type de contenus ou à un type de démarche. 1-COMPRÉHENSION : le datajournalism permet de mieux comprendre le monde. Pour cette visualisation des succès au box office américain depuis 1986, l’équipe du nytimes.com a particulièrement travaillé sur la forme des courbes, et leur couleur. Le datajournalism, c’est de la visualisation d’information. La datajournalism ne pourra donc pas se passer des compétences d’un interaction designer.
Mashup (web application hybrid) Web application that combines content from more than one source in a single graphical interface In the past years[when?], more and more Web applications have published APIs that enable software developers to easily integrate data and functions the SOA way, instead of building them by themselves. Mashups can be considered to have an active role in the evolution of social software and Web 2.0. The broader context of the history of the Web provides a background for the development of mashups. The advent of Web 2.0 introduced Web standards that were commonly and widely adopted across traditional competitors and which unlocked the consumer data. Mashups can also be categorized by the basic API type they use but any of these can be combined with each other or embedded into other applications. In technology, a mashup enabler is a tool for transforming incompatible IT resources into a form that allows them to be easily combined, in order to create a mashup.
Numérique - Article - Le journalisme de données Le journalisme de données consiste à exploiter des bases de données, pour en extraire de l’information intelligible et pertinente, présentée de façon attractive. Il vise à donner du sens à d’obscures séries statistiques, à faire émerger des histoires dans de longues séries de données éparses. En cela, il s’inscrit pleinement dans la tradition journalistique consistant à aller chercher de l’information brute pour la présenter de manière adéquate au public. Seulement, il envisage différemment le rôle médiateur du journaliste. Le journalisme de données s’adresse d’abord à l’intelligence visuelle du public, et non à son intelligence verbale. Pour cela, il peut prendre la forme de bases de données enrichies, d’infographies interactives, de timelines [+] NoteFrises chronologiques [2] et de cartes rich-media [+] NoteA. [3], d’applications interactives, etc. El Pais a mis au point une animation pour présenter les prévisions du FMI sur l’évolution du PIB des pays occidentaux. .
the new punk | This is a chord… this is another… this is a third. NOW FORM A BAND So went the first issue of British punk fanzine Sideburns in 1977 in the "first and last part in a series". It might be 35 years old, but this will do nicely as a theory of data journalism in 2012. Why? Crucial to it was the idea: anyone can do it. Is the same true of data journalism? Now is the time to examine this - in May 2010, we published this piece on how reporters would soon be flooded with a "tsunami of data". There are even different streams now - short-form, quick-and-dirty data visualisations of the kind we do every day on the Datablog, right through to complex investigations and visualisations - such as our riots data analysis or the kind of projects which made the shortlist of the Data Journalism Awards, from around the world. So, can we still say that anyone can do data journalism; in the first and last part in a series. 1) This is a dataset 2) Here's another 3) Here are some free tools But is that enough?
How to make an intensity map with custom boundaries - Google Fusion Tables Help This tutorial uses the New look in Fusion Tables. The same features are offered in Classic, too. The Visualize > Intensity map function in Classic offers a simple way to visualize data at a country level for a global view and continent view. But what if you'd like an intensity map with other boundaries? Or more control over the colors? or info windows? This tutorial shows you an example of creating a highly-customizable intensity map with any boundaries. Boundaries can be found in our Resource data section, in Google Tables search, or from official sources and imported to Fusion Tables. For example, this map is colored to display the prevalence of using natural gas to heat the home: Data sets for this tutorial: In this tutorial One table has interesting statistics about the 110th Congressional Districts, and another table has their geographic boundaries for showing them on a map. Tutorial contents: Please contact us with your feedback on this tutorial. Combine data and boundary tables
8 hats Last week I posted a slideshare version of my slides from a recent pair of presentation events in Chicago. The title of this talk was “The 8 hats of data visualisation”. In this article I want to follow up these slides with a written accompaniment to contextualise and explain what I was presenting, as slides alone don’t really manage to achieve this effectively. Ever since I discovered data visualisation I have been intrigued by the many different subject areas and disciplines that contribute to its unique mix of art and science. As the field continues to increase in popularity and exposure, penetrating more into the mainstream, and as data resources and technological capabilities continue to enhance at incredible rates, the opportunities and challenges similarly increase. During my training courses I have met many people who have expressed a similar concern. Furthermore, we should assess more closely the role of technology in data visualisation. June 26th, 2012 in critique
actuvisu Blog Visual Rhetoric This section of the OWL discusses the use of rhetorical theory and rhetoric as it relates to visuals and design. "Visual rhetoric" has been used to mean anything from the use of images as argument, to the arrangement of elements on a page for rhetorical effect, to the use of typography (fonts), and more. While we cannot hope to cover these and many other topics in depth in this resource, it will be possible for us to look at some of the common visual rhetoric problems encountered by student writers: the text elements of a page (including font choices), the use of visuals (including photographs, illustrations, and charts and graphs), and the role of overall design in composing a page rhetorically. Note: Much of the current use of "visual rhetoric" is directed at analyzing images and other visuals that already exist. What is visual rhetoric? Image Caption: Visual Literacy Essentially, a beginning definition of visual rhetoric and its applications are as follows: For more information: