BrainMap Introduction to Circos, Features and Uses // CIRCOS Circular Genome Data Visualization Looking 4 data visualization: Tools . RAW est une nouvelle application web ouverte et gratuite qui permet de créer aisément des dataviz basées sur le framework D3.js de Mike Bostock (Data Designer au New York Times). . Développé par l'institut de recherche italienne Density Design, l'outil permet de générer sans aucune ligne de code des visualisations avancées de type Treemap, Dendogram, Fineo Diagram. Les données peuvent être importées à partir de fichiers texte (.csv, .tsv) ou à partir d' Excel, TextEdit ou TextWrangler. . 6 types de layouts / composants graphiques sont disponibles à ce jour : Treemap, Bubble Chart, Dendogram, Hexagonal Binning, Alluvial Diagram (Fineo), Circle Packing. . . 'raw is conceived to ease graphic production, not to replace it.
FreeMind NodeXL: Network Overview, Discovery and Exploration for Excel - Home If you’re disappointed with big data, you’re not paying attention There has been a backlash lately against big data. From O’Reilly Media to the New Yorker, from Nassim Taleb to Kate Crawford, everyone is treating big data like a piñata. Gartner has dropped it into the “trough of disillusionment.” I call B.S. on all of it. It might be provocative to call into question one of the hottest tech movements in generations, but it’s not really fair. Correlation versus causation versus “what’s good enough for the job” One of the biggest complaints — or, in some cases, proposed facts — about big data is that is relies more on correlation than causation in order to find its vaunted insights. Honestly, for song or product recommendations, who really cares? But in areas like medicine, finance and even marketing, people are becoming much more concerned with finding out “why” once they’ve found out “what.” This is why some people call the process of asking interesting questions of data “exploratory analytics.” Web data is only part of big data Floating Sheep’s Hate Map
Mind Map From Wikipedia, the free encyclopedia Diagram to visually organize information A mind map is a diagram used to visually organize information into a hierarchy, showing relationships among pieces of the whole.[1] It is often created around a single concept, drawn as an image in the center of a blank page, to which associated representations of ideas such as images, words and parts of words are added. Major ideas are connected directly to the central concept, and other ideas branch out from those major ideas. Mind maps can also be drawn by hand, either as "notes" during a lecture, meeting or planning session, for example, or as higher quality pictures when more time is available. Origins[edit] Buzan's specific approach, and the introduction of the term "mind map", started with a 1974 BBC TV series he hosted, called Use Your Head.[6] In this show, and companion book series, Buzan promoted his conception of radial tree, diagramming key words in a colorful, radiant, tree-like structure.[7]
Parallel Sets Parallel Sets (ParSets) is a visualization application for categorical data, like census and survey data, inventory, and many other kinds of data that can be summed up in a cross-tabulation. ParSets provide a simple, interactive way to explore and analyze such data. Even though the screenshots here show the Mac version, the program also runs on Windows and Linux. Links to the executables are in the Download Section. Basic Operation To open an existing dataset, select it in the list and either double-click it or click the Open button. The horizontal bars in the visualization show the absolute frequency of how often each category occurred: in this example, the top line shows the distribution between the passenger classes on the Titanic and the crew. The middle dimension shows a male to female ratio of almost 4 to 1. Between the dimension bars are ribbons that connect categories and split up. Interaction Move your mouse over the display to see the tooltip telling you more about the data.
6 Great Interactive Data Visualization Tools (Part 2) Welcome back for the second part of my series on interactive data visualization (dataviz) tools. In part one, we covered three cool tools for visualizing charts and graphs and many other data types on a webpage. In part two, we take a look at three more tools that are a bit more complex but have some incredible data visualization capabilities. 4. Simile Exhibit Exhibit is a very robust and customizable offering. Visualization Types Supported: Line Graphs, Maps, Scatter Plots, Multi-Filterable Lists, Timelines, Timeplots and more…with widgets! Flexible & Powerful Approach to Design I really like the approach of Exhibit, where data is presented through a "lens" – an HTML template shell that elements are placed into. Steep Learning Curve Like the other more complex libraries, there is more coding involved with Exhibit than most options, and having previous Javascript experience is definitely very helpful. 5. 6. Wow, D3.js is cool! D3 isn't really like the others. Conclusion
iMindMap Welcome to the Mind Mapping Examples Library. In this area we provide examples of Mind Maps® that have been drawn for: Some are hand drawn and some have been produced on Mind Mapping software (including Mindjet® MindManager® and Buzan's iMindMap®). These examples are FREE for you to download and use for personal and educational purposes. We intend to build the biggest Mind Mapping library available online - be a part of it by having your Mind Maps published here. You can also find more examples at this site... Click on the image of your choice below to view a larger version. Mind Map® and Mind Maps® are registered trademarks of The Buzan Organisation ^ Back to top
Fineo UPDATE: the project is no longer supported, since it’s part of RawGraphs. Check it out here: rawgraphs.io. Fineo is a web application which implements a visualization technique based on the visual model of Sankey diagrams. Fineo was born from the idea that Sankey diagrams, although developed as a technique for visualizing continuous data, may be used to represent relations between dimensions of categorical data. Introduction Categorical data representation is crucial for interpreting many real world phenomena. Moreover, to be able to make sense a multidimensional dataset, an interactive approach is strongly needed so that the user will be able to filter and relate only the information he is interested into. Sankey Diagrams Sankey diagrams are flow diagrams that represent flows of continuous data such as money, energy or material in a system. We have chosen to conceptually base Fineo on sankey diagrams for three main reasons: Fineo and ParSets Fineo, instead, is much more network-like.
Business Intelligence and user adoption: A Depp-esc disaster? We’ve said it for a long time. In fact, we wrote a blog about it almost two years ago – What’s the Key Metric for Measuring BI Performance? The answer? “Simple – The rate of end-user adoption. And, much like the enduring partnership between Tim Burton and Johnny Depp – although their latest collaborative effort (Dark Shadows) received a dismal 42 percent rating on Rotten Tomatoes and had the LA Times wondering “has America fallen out of love with Johnny Depp?” Like our apparent overexposure to Burton and Depp’s quirky explorations of society’s social fringes, the necessity of BI user adoption is a message seemingly disregarded by an unreceptive audience – vendors and implementers alike. Research and advisory firms try again… The inherent, and in many cases prevailing, cost and complexity of more traditional BI tools place corporate data in a virtual prison – unable to escape and bare itself to the outside world; controlled by a minute usership of data analysts. i. i. i. Where to next?