{"id":1767,"date":"2013-06-24T13:35:21","date_gmt":"2013-06-24T13:35:21","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=1767"},"modified":"2013-06-24T13:37:57","modified_gmt":"2013-06-24T13:37:57","slug":"data-visualizations-do-you-prefer-destroyed-farms-or-fancy-pies","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/data-visualizations-do-you-prefer-destroyed-farms-or-fancy-pies\/1767\/","title":{"rendered":"Data Visualizations: Do You Prefer Destroyed Farms or Fancy Pies?"},"content":{"rendered":"Analytics and big data are becoming business imperatives. One big element that separates them from unstructured data pools or BI drill-down reports is that analytics can be used to \u201ctell a story,\u201d typically with visualizations. The visualization angle of this storytelling is typically reinforced with the same types of charts you\u2019ve seen before (you know, the ones that barely register a response during business meetings) or is danced around in attempts to dazzle you with data, data, data. When I think of art that expresses a narrative, my mind goes to the Albright-Knox Art Gallery in Buffalo, N.Y., <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/data-visualizations-do-you-prefer-destroyed-farms-or-fancy-pies\/1767\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>Analytics and big data are becoming business imperatives. One big element that separates them from unstructured data pools or BI drill-down reports is that analytics can be used to \u201ctell a story,\u201d typically with visualizations. The visualization angle of this storytelling is typically reinforced with the same types of charts you\u2019ve seen before (you know, [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[59,60,61,58],"class_list":["post-1767","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-analytics","tag-dashboards-scorecards","tag-user-experience","tag-visualization"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1767","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/comments?post=1767"}],"version-history":[{"count":11,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1767\/revisions"}],"predecessor-version":[{"id":1774,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/1767\/revisions\/1774"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=1767"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=1767"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=1767"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}