{"id":555,"date":"2017-01-30T07:20:57","date_gmt":"2017-01-30T07:20:57","guid":{"rendered":"https:\/\/blogs.scu.edu\/dataviz\/?p=555"},"modified":"2017-01-30T07:20:57","modified_gmt":"2017-01-30T07:20:57","slug":"netflix-color-analysis-of-original-cover","status":"publish","type":"post","link":"https:\/\/blogs.scu.edu\/dataviz\/2017\/01\/30\/netflix-color-analysis-of-original-cover\/","title":{"rendered":"Netflix color analysis of original cover"},"content":{"rendered":"<p>The two visualizations show the color analysis of three Netflix original series in 2013. The sole purpose of this visualization is to derive customer insights and attract more users to watch the shows.<\/p>\n<blockquote class=\"imgur-embed-pub\" lang=\"en\" data-id=\"uK6ry68\"><p><a href=\"https:\/\/imgur.com\/uK6ry68\">View post on imgur.com<\/a><\/p><\/blockquote>\n<p><script async src=\"\/\/s.imgur.com\/min\/embed.js\" charset=\"utf-8\"><\/script><\/p>\n<p>This analysis is helping the company to find out the distance between users and further develop an algorithm to determine the \u00a0average color of titles of each user over a period of time which will help improve their personalized recommendation system. Eventually Netflix will be able to track if there is an ideal color for an original series or if different colors can be used for different audiences. The first visualization shows that House of cards and Macbeth has a lot of similarity based on the cover.<\/p>\n<blockquote class=\"imgur-embed-pub\" lang=\"en\" data-id=\"ckDsnnp\"><p><a href=\"https:\/\/imgur.com\/ckDsnnp\">View post on imgur.com<\/a><\/p><\/blockquote>\n<p><script async src=\"\/\/s.imgur.com\/min\/embed.js\" charset=\"utf-8\"><\/script><\/p>\n<p>Again, the color pallet used for House of Cards and Hemlock Grove is again very similar which may be misleading since differences do exist based on genre, cast, plot, development and production. However they have a huge contrast in comparison with Arrested development. These visualizations are alone not self-explanatory. A dashboard along with customer\u2019s viewing habits, recommendations and ratings can convey the required insights needed to make important business decisions.<\/p>\n<p>Source: techblog.netflix.com<\/p>\n","protected":false},"excerpt":{"rendered":"<p>The two visualizations show the color analysis of three Netflix original series in 2013. The sole purpose of this visualization is to derive customer insights and attract more users to watch the shows. This analysis is helping the company to find out the distance between users and further develop an algorithm to determine the \u00a0average &hellip; <a href=\"https:\/\/blogs.scu.edu\/dataviz\/2017\/01\/30\/netflix-color-analysis-of-original-cover\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Netflix color analysis of original cover<\/span><\/a><\/p>\n","protected":false},"author":1875,"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-555","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"gutentor_comment":0,"qubely_featured_image_url":null,"qubely_author":{"display_name":"sangamitranagaraj","author_link":"https:\/\/blogs.scu.edu\/dataviz\/author\/sangamitranagaraj\/"},"qubely_comment":0,"qubely_category":"<a href=\"https:\/\/blogs.scu.edu\/dataviz\/category\/uncategorized\/\" rel=\"category tag\">Uncategorized<\/a>","qubely_excerpt":"The two visualizations show the color analysis of three Netflix original series in 2013. The sole purpose of this visualization is to derive customer insights and attract more users to watch the shows. This analysis is helping the company to find out the distance between users and further develop an algorithm to determine the \u00a0average&hellip;","post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/555","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\/1875"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/comments?post=555"}],"version-history":[{"count":1,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/555\/revisions"}],"predecessor-version":[{"id":564,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/555\/revisions\/564"}],"wp:attachment":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/media?parent=555"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/categories?post=555"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/tags?post=555"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}