3 Trends That Will Define The Future Of Infographics Now that everyone loves them, early adopters and forward thinkers want to know what is next for the infographic. Is this just the beginning of a visual revolution, or have they already jumped the shark? This is an important question, especially for those who are making large investments in the medium, such as publishers and marketers. Is the Infographic Dead? My cofounder, Jason Lankow, says it well when people ask about the fate of infographics in the face of increasing web saturation. Infographics at Present Infographics have been utilized for hundreds of years for various purposes, but have taken on a new face in the last few years, with a bit of help from the Internet. [An infographic video created by Chris Harmon] Motion Graphics Utilizing motion and animation in infographics is another current trend that is on the rise. The Future of Infographics Over the past year, we have seen an evolution in the way people are thinking about infographics.
[nytlabs] Cytoscape: An Open Source Platform for Complex Network Analysis and Visualization NodeXL: Network Overview, Discovery and Exploration for Excel NodeXL is a free, open-source template for Microsoft® Excel® 2007, 2010 and 2013 that makes it easy to explore network graphs. With NodeXL, you can enter a network edge list in a worksheet, click a button and see your graph, all in the familiar environment of the Excel window. Visit the NodeXL Graph Gallery to see the wide variety of graphs that have been created by the NodeXL community. What's New A new Import from Twitter Users Network feature in the latest release replaces two older Twitter importers that became less useful when Twitter introduced strict rate limits. NodeXL will now automatically update itself when a new release becomes available. See the Complete NodeXL Release History for details. NodeXL Features Flexible Import and Export Import and export graphs in GraphML, Pajek, UCINet, and matrix formats. NodeXL for Programmers The NodeXL template displays graphs using a custom Windows Presentation Foundation (WPF) control that can be reused in custom applications.
Dashboard Insight - Dashboard Design and Development, Defining Performance Indicators and Key Performance Indicators (KPIs), and Business Intelligence News Taxonomy for interactive visual analysis Interactive visualization continues to grow more useful and prominent in every day analysis. Jeffrey Heer and Ben Shneiderman offer a taxonomy for the budding field. Visualization provides a powerful means of making sense of data. [ACM Queue via @krees]
Directed graph A directed graph. (sometimes ) of:[1] A digraph is called "simple" if it has no loops, and no multiple arcs (arcs with same starting and ending nodes). A directed multigraph, in which the arcs constitute a multiset, rather than a set, of ordered pairs of vertices may have loops (that is, "self-loops" with same starting and ending node) and multiple arcs. Basic terminology[edit] An arc is considered to be directed from to is called the head and is called the tail of the arc; is said to be a direct successor of , and is said to be a direct predecessor of to , then is said to be a successor of is said to be a predecessor of . is called the arc inverted. A weighted digraph is a digraph with weights assigned to its arcs, similar to a weighted graph. is the number of arcs from node i to node j, and the diagonal entry is the number of loops at node i. Another matrix representation for a digraph is its incidence matrix. See Glossary of graph theory#Direction for more definitions. Indegree and outdegree[edit]
Fast Thinking and Slow Thinking Visualisation Last week I attended the Association of American Geographers Annual Conference and heard a talk by Robert Groves, Director of the US Census Bureau. Aside the impressiveness of the bureau’s work I was struck by how Groves conceived of visualisations as requiring either fast thinking or slow thinking. Fast thinking data visualisations offer a clear message without the need for the viewer to spend more than a few seconds exploring them. These tend to be much simpler in appearance, such as my map of the distance that London Underground trains travel during rush hour. The explicit message of this map is that surprisingly large distances are covered across the network and that the Central Line rolling stock travels furthest. or the seemingly impenetrable (from a distance at least), but wonderfully intricate hand drawn work of Steven Walter (click image for interactive version). So do the renowned folks at the NY Times Graphics Dept. prefer fast or slow thinking visualisations?
Find Keyword Modifiers with Google Refine Keyword research is a vital component of SEO. Part of that research usually entails finding the most frequent modifiers for a keyword. There are plenty of ways to do this but here's a new way to do so using Google Refine. Google Refine Google Refine came about through the Metaweb acquisition in July of 2010 and is an evolution of Freebase Gridworks. So what is it exactly? Google Refine is a power tool for working with messy data, cleaning it up, transforming it from one format into another, extending it with web services, and linking it to databases like Freebase. I've been poking at Freebase for years thanks to Chris Eppstein and think that it was one of Google's smarter acquisitions of late. Root Keywords Lets say you have a site that sells boots. There are a number of keyword tools but I'll use Google in this example. There are 794 keyword suggestions and many of them overlap with one another. Install Google Refine Create a Google Refine Project Apply a Word Facet Sorting a Word Facet
FlowingData | Data Visualization, Infographics, and Statistics Designing Data Visualizations Workshop: Strata 2012 - O'Reilly Conferences, February 28 - March 01, 2012 Attendees: All attendees should bring paper an pen for quick sketching. Attendees should bring their own data to work with. Alternately, they can download interesting data sets from sites such as infochimps.com, buzzdata.com, and data.gov. People with access to a windows machine might want to install Tableau Public. We will discuss how to figure out what story to tell, select the right data, and pick appropriate layout and encodings. We’ll briefly discuss tools, including pencil and paper. Understanding of your specific data or data types will help immensely.
What Visualization Tool/Software Should You Use? – Getting Started Are you looking to get into data visualization, but don't quite know where to begin? With all of the available tools to help you visualize data, it can be confusing where to start. The good news is, well, that there are a lot of (free) available tools out there to help you get started. It's just a matter of deciding which one suits you best. This is a guide to help you figure that out. But before we get into what you should use, a couple of questions. What data are you looking at? Hopefully you already have a dataset that you're interested in. There are lots of places on the Web to find data. The above is a very small subset of what's available. Got your data? What's the purpose of your visualization? The next step is to figure out you're trying to do with your visualization. Again, what you decide here will affect what tool you should use. What Visualization Software to Use Now that you have the answers to those two questions in mind, we can make a decision on what will work best for you.
Stat eXplorer Interactive Statistical Visualization using Adobe Flash Statistics eXplorer integrates many common InfoVis and GeoVis methods required to make sense of statistical data, uncover patterns of interests, gain insight, tell-a-story and finally communicate knowledge. Statistics eXplorer was developed based on a component architecture and includes a wide range of visualization techniques enhanced with various interaction techniques and interactive features to support better data exploration and analysis. The eXplorer applications are available on the NCVA/LiU web site for educational and research usage only. Figure: Statistics eXplorer applications involve the integration of important visualization and analytics taxonomy required to make sense of statistical data – to pursue questions using several famous GeoVis and InfoVis methods, uncover patterns of interests, gain insight, tell-a-story and finally communicate knowledge. Learn more about eXplorer through these 2 videos: Read Paper about:
Hunglish korpusz The sentence pairs were created from document pairs by automatic methods. Note that sometimes parts of the documents are not in perfect correspondence. (Due to liberal translation, or even skipping of some segments by the translator.) These may lead to erroneous sentence pairs. The English lemmatizer doesn't work. You can set any number of space-separated query phrases on the Hungarian or the English side, or even both sides at once. The syntax of these query phrases is easiest to describe through a series of examples: The simplest example of a query phrases is a word: The Hungarian side ellopták query results in bisentences with this Hungarian word in their Hungarian sentence. To prohibit results with other inflected forms, the term should be surrounded with the < > parentheses. One can search for multi-word search terms. Quotation: "back to normal". Any query phrase is allowed to have one of the following two modifiers as prefixes.