{"id":796,"date":"2017-02-13T05:44:38","date_gmt":"2017-02-13T05:44:38","guid":{"rendered":"https:\/\/blogs.scu.edu\/dataviz\/?p=796"},"modified":"2017-02-20T20:17:39","modified_gmt":"2017-02-20T20:17:39","slug":"interactive-data-visualization-2","status":"publish","type":"post","link":"https:\/\/blogs.scu.edu\/dataviz\/2017\/02\/13\/interactive-data-visualization-2\/","title":{"rendered":"Interactive Data Visualization"},"content":{"rendered":"<p>Static visualizations can offer only precomposed \u201cviews\u201d of data, so multiple static views are often needed to present a variety of perspectives on the same information.\u00a0Dynamic, interactive visualizations can empower people to explore the data for themselves.<\/p>\n<ol>\n<li>The Novice User. Even novices must be able to examine data and find patterns, distributions, correlations, and\/or anomalies. They must be able to build and use tools that enable faster decisions based on real-time information. As the National Research Council of the National Academies of Sciences states, even \u201cna\u00efve users\u201d should be able to \u201ccarry out massive data analysis without a full understanding of systems and statistical uses.\u201d<\/li>\n<li>Driving Processes. The solution must allow the user to establish KPIs that provide the rules that drive processes. These must be displayed visually\u2014for example, by color\u2014in real time based on defined thresholds. Likes its architecture, Interactive Visualization is a means to an end \u2013 to stimulate informed action.<\/li>\n<li>Data Must Tell A Story. An intuitive, visual workplace that it easy to master is based on easily digestible interactive patterns. Data must tell a story that instantly\u00a0relates the performance of a business and its assets. Almost every Interactive Visualization narrative takes place across multiple layers. Users must thus be able to select data elements and filters, and then highlight and modify options to change data perspectives \u2013 from high-tech overviews down to the most granular detail.<\/li>\n<li>Data Correlation. The user should immediately know not only of hot spots that require attention, but also effortlessly\u00a0find trends\u00a0based on the dynamic relationship between multiple data streams and the data derived from them by means of predictive analytics.<\/li>\n<li>Prescriptions: \u201cWhat should happen next?\u201dWorld-class Interactive Visualization and underlying analytics capabilities surpass that standard by offering\u00a0prescriptive analytics(\u201cWhat should happen next?\u201d)\u00a0to drive real-time asset behavior modification.<\/li>\n<\/ol>\n<p>Picture below is one the best interactive visualization of 2015 according to experts. The visualization is about machine learning. To find a complete description about this please look at:\u00a0http:\/\/flowingdata.com\/2015\/12\/22\/10-best-data-visualization-projects-of-2015\/<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-971\" src=\"https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/Screen-Shot-2017-02-20-at-12.14.19-PM-300x221.png\" alt=\"Screen Shot 2017-02-20 at 12.14.19 PM\" width=\"469\" height=\"345\" srcset=\"https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/Screen-Shot-2017-02-20-at-12.14.19-PM-300x221.png 300w, https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/Screen-Shot-2017-02-20-at-12.14.19-PM.png 727w\" sizes=\"auto, (max-width: 469px) 100vw, 469px\" \/><\/p>\n<p>References:<\/p>\n<p>http:\/\/www.forbes.com\/sites\/benkerschberg\/2014\/04\/30\/five-key-properties-of-interactive-data-visualization\/#a5efa2344eb0<\/p>\n<p>http:\/\/chimera.labs.oreilly.com\/books\/1230000000345\/ch01.html#_why_interactive<\/p>\n<p><i>Frontiers in Massive Data Analysis<\/i>(National Academy of Sciences 2013)<\/p>\n<blockquote class=\"wp-embedded-content\" data-secret=\"4veSm2WVaM\"><p><a href=\"https:\/\/flowingdata.com\/2015\/12\/22\/10-best-data-visualization-projects-of-2015\/\">10 Best Data Visualization Projects of 2015<\/a><\/p><\/blockquote>\n<p><iframe loading=\"lazy\" class=\"wp-embedded-content\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; clip: rect(1px, 1px, 1px, 1px);\" title=\"&#8220;10 Best Data Visualization Projects of 2015&#8221; &#8212; FlowingData\" src=\"https:\/\/flowingdata.com\/2015\/12\/22\/10-best-data-visualization-projects-of-2015\/embed\/#?secret=BRPYbtdJf3#?secret=4veSm2WVaM\" data-secret=\"4veSm2WVaM\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\"><\/iframe><\/p>\n<p>&nbsp;<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Static visualizations can offer only precomposed \u201cviews\u201d of data, so multiple static views are often needed to present a variety of perspectives on the same information.\u00a0Dynamic, interactive visualizations can empower people to explore the data for themselves. The Novice User. Even novices must be able to examine data and find patterns, distributions, correlations, and\/or anomalies. &hellip; <a href=\"https:\/\/blogs.scu.edu\/dataviz\/2017\/02\/13\/interactive-data-visualization-2\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Interactive Data Visualization<\/span><\/a><\/p>\n","protected":false},"author":1688,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"qubely_global_settings":"","qubely_interactions":"","kk_blocks_editor_width":"","_kiokenblocks_attr":"","_kiokenblocks_dimensions":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-796","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"gutentor_comment":0,"qubely_featured_image_url":null,"qubely_author":{"display_name":"hamed","author_link":"https:\/\/blogs.scu.edu\/dataviz\/author\/hamed\/"},"qubely_comment":0,"qubely_category":"<a href=\"https:\/\/blogs.scu.edu\/dataviz\/category\/uncategorized\/\" rel=\"category tag\">Uncategorized<\/a>","qubely_excerpt":"Static visualizations can offer only precomposed \u201cviews\u201d of data, so multiple static views are often needed to present a variety of perspectives on the same information.\u00a0Dynamic, interactive visualizations can empower people to explore the data for themselves. The Novice User. Even novices must be able to examine data and find patterns, distributions, correlations, and\/or anomalies.&hellip;","post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/796","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/users\/1688"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/comments?post=796"}],"version-history":[{"count":3,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/796\/revisions"}],"predecessor-version":[{"id":973,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/796\/revisions\/973"}],"wp:attachment":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/media?parent=796"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/categories?post=796"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/tags?post=796"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}