uncleflo
Registered since September 28th, 2017
Has a total of 4246 bookmarks.
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Tag selected: visualize.
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GoJS - Interactive JavaScript Diagrams in HTML
Saved by uncleflo on May 19th, 2018.
GoJS is a feature-rich JavaScript library for implementing custom interactive diagrams and complex visualizations across modern web browsers and platforms. GoJS makes constructing JavaScript diagrams of complex nodes, links, and groups easy with customizable templates and layouts. GoJS offers many advanced features for user interactivity such as drag-and-drop, copy-and-paste, in-place text editing, tooltips, context menus, automatic layouts, templates, data binding and models, transactional state and undo management, palettes, overviews, event handlers, commands, and an extensible tool system for custom operations. GoJS is pure JavaScript, so users get interactivity without requiring round-trips to servers and without plugins. GoJS normally runs completely in the browser, rendering to an HTML5 Canvas element or SVG without any server-side requirements. GoJS does not depend on any JavaScript libraries or frameworks, so it should work with any HTML or JavaScript framework or with no framework at all. Build custom modeling environments and domain-specific visual languages using the powerful features of GoJS. Provide both a system editor and a read-only status monitor using shared code and templates. Simultaneously show alternative visualizations of the same data in different diagrams. Implement drill-down using expansion of subtrees and subgraphs or a detailed view in another diagram. Yet GoJS is remarkably simple for such a powerful and flexible system. Our thorough documentation introduces the basic concepts and demonstrate typical features that most apps want to offer. Nodes and links can be arbitrarily detailed according to the needs of the application. The API consists of only a few dozen important classes which encapsulate many useful features that interact with each other. There are many properties that permit simple customizations; some methods may be overridden for more complicated customizations.
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JIRA Software - The #1 software development tool used by agile teams
Saved by uncleflo on July 19th, 2016.
The best software teams ship early and often. Not many tools, one tool. JIRA Software is built for every member of your software team to plan, track, and release great software. Create user stories and issues, plan sprints, and distribute tasks across your software team. Prioritize and discuss your team's work in full context with complete visibility. Ship with confidence and sanity knowing the information you have is always current. Improve team performance based on real-time, visual data you can use.
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Method Analysis's 3D Printing Hub | London | Prints From £7.00 | 3D Hubs
Saved by uncleflo on June 13th, 2015.
CAD, R&D, specification and sketch all the way to prototype, or just a print job? Get in touch and see how we can help you. ABS print jobs can be smoothed in a convection driven 'acetone oven' for an injection moulded look. Method Analysis can also provide limited manufacturing beyond the realm of 3D printing (see hub photos).
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Crazy Egg - Visualize where your visitors click
Saved by uncleflo on July 16th, 2014.
Over 200,000 businesses Convert Better with Crazy Egg, The Original Heatmapping Technology
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rviz - ROS Wiki
Saved by uncleflo on June 20th, 2014.
3D visualization tool for ROS. Shows how to use visualization_msgs/Marker messages to send basic shapes (cube, sphere, cylinder, arrow) to rviz. Teaches how to use the visualization_msgs/Marker message to send points and lines to rviz. Explains what Interactive Marker are and teaches you some of the basic concepts.
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Parallel Tag Clouds to Explore and Analyze Faceted Text Corpora - YouTube
Saved by uncleflo on November 18th, 2011.
Do court cases differ from place to place? What kind of picture do we get by looking at a countrys collection of law cases? We introduce Parallel Tag Clouds: a new way to visualize differences amongst facets of very large metadata-rich text corpora. We have pointed Parallel Tag Clouds at a collection of over 600,000 US Circuit Court decisions spanning a period of 50 years and have discovered regional as well as linguistic differences between courts. The visualization technique combines graphical elements from parallel coordinates and traditional tag clouds to provide rich overviews of a document collection while acting as an entry point for exploration of individual texts. We augment basic parallel tag clouds with a details-in-context display and an option to visualize changes over a second facet of the data, such as time. We also address text mining challenges such as selecting the best words to visualize, and how to do so in reasonable time periods to maintain interactivity.
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