{ "info": { "author": "Ales Komarek", "author_email": "mail@newt.cz", "bugtrack_url": null, "classifiers": [ "Development Status :: 5 - Production/Stable", "Framework :: Django", "Intended Audience :: Developers", "License :: OSI Approved :: BSD License", "Operating System :: OS Independent", "Programming Language :: Python", "Programming Language :: Python :: 2.6", "Programming Language :: Python :: 2.7", "Programming Language :: Python :: 3", "Programming Language :: Python :: 3.3", "Programming Language :: Python :: 3.4", "Topic :: Software Development", "Topic :: Software Development :: Libraries :: Application Frameworks" ], "description": "==================================\nLeonardo Relational Visualizations\n==================================\n\nhttp://bost.ocks.org/mike/chart/ Towards Reusable Charts\n\nTooltips\n--------\n\n- http://bl.ocks.org/ilyabo/1373263 D3 tooltip using jQuery tipsy\n\nTreemap\n-------\n\nTreemap is a space-constrained visualization of hierarchical structures. It is very effective in showing attributes of leaf nodes using size and color coding. Treemap enables users to compare nodes and sub-trees even at varying depth in the tree, and help them spot patterns and exceptions.\nTreemap was first designed by Ben Shneiderman during the 1990s. For more information, read the historical summary of treemaps, their growing set of applications, and the many other implementations. Treemaps are a continuing topic of research and application at the HCIL.\n\n- http://www.cs.umd.edu/hcil/treemap/\n- http://www.cs.umd.edu/hcil/treemap-history/\n- https://en.wikipedia.org/wiki/Treemapping\n- http://www.billdwhite.com/wordpress/2012/12/16/d3-treemap-with-title-headers/\n- https://secure.polisci.ohio-state.edu/faq/d3/zoomabletreemap_code.php\n\nVoronoi Treemap\n---------------\n\nVoronoi treemaps are an alternative to traditional rectangular treemaps for visualizing hierarchical data. Like rectangular treemaps, Voronoi treemaps represent hierarchical data by dividing the canvas region into cells for each node at the top of the hierarchy, and then further dividing each of these cells for the children of those nodes. The organic shapes created by the Voronoi treemap can be easier to distinguish sibling nodes from nodes in other branches of the hierarchy. Voronoi treemaps can also be fit to non-rectangular canvases, and are often more aesthetically pleasing. \n\n\n- http://cse512-14w.github.io/fp-plvines-djpeter/\n- http://cse512-14w.github.io/fp-plvines-djpeter/demo.html\n- http://cse512-14w.github.io/fp-plvines-djpeter/final/paper-plvines-djpeter.pdf\n\nOrbital Layout\n--------------\n\nhttps://github.com/emeeks/d3.layout.orbit\nhttp://www.infielddesign.com/team/news/post/orbital-relationships-in-d3js-force-graphs/\n\nArc Diagram\n-----------\n\n- http://bl.ocks.org/sjengle/5431779\n\nAdjacency Matrix\n----------------\n\n- http://bost.ocks.org/mike/miserables/\n- https://gist.github.com/timbresmith/2873404\n\nSugiyama Graph\n--------------\n\n- https://github.com/cpettitt/dagre-d3\n- http://cpettitt.github.io/project/dagre-d3/latest/demo/hover.html\n\n\nDendrogram\n----------\n\n- http://bl.ocks.org/mbostock/4063570 Cluster Dendrogram\n- http://ncss.wpengine.netdna-cdn.com/wp-content/themes/ncss/pdf/Procedures/NCSS/Hierarchical_Clustering-Dendrograms.pdf\n- http://www.meccanismocomplesso.org/en/dendrogramma-d3-parte1/\n\nReingold\u2013Tilford Tree\n---------------------\n\n- http://bl.ocks.org/mbostock/4063550 Radial Reingold\u2013Tilford Tree\n- http://bl.ocks.org/mbostock/4339184 Reingold\u2013Tilford Tree\n- http://link.springer.com/chapter/10.1007%2F3-540-36151-0_32", "description_content_type": null, "docs_url": null, "download_url": "UNKNOWN", "downloads": { "last_day": -1, "last_month": -1, "last_week": -1 }, "home_page": "https://github.com/leonardo-modules/leonardo-module-vis-relational", "keywords": null, "license": "UNKNOWN", "maintainer": null, "maintainer_email": null, "name": "leonardo-module-vis-relational", "package_url": "https://pypi.org/project/leonardo-module-vis-relational/", "platform": "UNKNOWN", "project_url": "https://pypi.org/project/leonardo-module-vis-relational/", "project_urls": { "Download": "UNKNOWN", "Homepage": "https://github.com/leonardo-modules/leonardo-module-vis-relational" }, "release_url": "https://pypi.org/project/leonardo-module-vis-relational/0.0.1/", "requires_dist": null, "requires_python": null, "summary": "Relational visualization module", "version": "0.0.1" }, "last_serial": 2201446, "releases": { "0.0.1": [ { "comment_text": "", "digests": { "md5": "bd8afad10f1e5a29dd0ff3fc2954765b", "sha256": "ab5e61f833372cff8707ca20ce41f376884ecd98799ccdb07497d1429bbb1bd3" }, "downloads": -1, "filename": "leonardo-module-vis-relational-0.0.1.tar.gz", "has_sig": false, "md5_digest": "bd8afad10f1e5a29dd0ff3fc2954765b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 398023, "upload_time": "2016-07-04T10:02:20", "url": "https://files.pythonhosted.org/packages/62/8d/ba316314c88da93f9103ede1dd6f82cb78bdd208aeec09dd4bcedb0f2480/leonardo-module-vis-relational-0.0.1.tar.gz" } ] }, "urls": [ { "comment_text": "", "digests": { "md5": "bd8afad10f1e5a29dd0ff3fc2954765b", "sha256": "ab5e61f833372cff8707ca20ce41f376884ecd98799ccdb07497d1429bbb1bd3" }, "downloads": -1, "filename": "leonardo-module-vis-relational-0.0.1.tar.gz", "has_sig": false, "md5_digest": "bd8afad10f1e5a29dd0ff3fc2954765b", "packagetype": "sdist", "python_version": "source", "requires_python": null, "size": 398023, "upload_time": "2016-07-04T10:02:20", "url": "https://files.pythonhosted.org/packages/62/8d/ba316314c88da93f9103ede1dd6f82cb78bdd208aeec09dd4bcedb0f2480/leonardo-module-vis-relational-0.0.1.tar.gz" } ] }