{"id":8253,"date":"2016-11-07T08:43:09","date_gmt":"2016-11-07T13:43:09","guid":{"rendered":"http:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/?p=8253"},"modified":"2016-11-07T08:41:07","modified_gmt":"2016-11-07T13:41:07","slug":"using-analytics-explain-presidential-debates","status":"publish","type":"post","link":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/using-analytics-explain-presidential-debates\/8253\/","title":{"rendered":"Using Analytics to Explain the Presidential Debates"},"content":{"rendered":"The three presidential debates during the 2016 election year were of historical importance. This election campaign is likely to shape the political discourse for the country by unprecedented proportions.\u00a0The stakes are high and candidates unique. For the very first time in US history, a major party nominated a woman as its presidential candidate. A woman who has been in politics all her life: a first lady, a senator from New York, and Secretary of State, Hillary Clinton. Her resume is so heavy, and experience so loaded and shiny, we wonder why she isn\u2019t President already. On the opposite <a href=\"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/using-analytics-explain-presidential-debates\/8253\/\" class=\"more-link\">(more&hellip;)<\/a>","protected":false},"excerpt":{"rendered":"<p>The three presidential debates during the 2016 election year were of historical importance. This election campaign is likely to shape the political discourse for the country by unprecedented proportions.\u00a0The stakes are high and candidates unique. For the very first time in US history, a major party nominated a woman as its presidential candidate. A woman [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":"","_links_to":"","_links_to_target":""},"categories":[11],"tags":[59],"class_list":["post-8253","post","type-post","status-publish","format-standard","hentry","category-industry-news","tag-analytics"],"_links":{"self":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8253","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=8253"}],"version-history":[{"count":2,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8253\/revisions"}],"predecessor-version":[{"id":8255,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/posts\/8253\/revisions\/8255"}],"wp:attachment":[{"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/media?parent=8253"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/categories?post=8253"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.predictiveanalyticsworld.com\/machinelearningtimes\/wp-json\/wp\/v2\/tags?post=8253"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}