{"id":752,"date":"2016-05-06T13:56:31","date_gmt":"2016-05-06T13:56:31","guid":{"rendered":"http:\/\/technicalelvis.com\/blog\/?p=752"},"modified":"2016-05-06T13:56:31","modified_gmt":"2016-05-06T13:56:31","slug":"prince-song-recommender-using-r-and-shiny","status":"publish","type":"post","link":"https:\/\/technicalelvis.com\/blog\/2016\/05\/06\/prince-song-recommender-using-r-and-shiny\/","title":{"rendered":"Prince Song Recommender using R and Shiny"},"content":{"rendered":"<p><strong>Overview<\/strong><\/p>\n<p>This project contains a <a href=\"https:\/\/en.wikipedia.org\/wiki\/Prince_(musician)\">Prince<\/a> song recommender developed using <a href=\"http:\/\/shiny.rstudio.com\/\">R and Shiny<\/a>. This app was developed for <a href=\"https:\/\/www.coursera.org\/learn\/data-products\/\">Developing Data Products course by Johns Hopkins University<\/a><\/p>\n<p><strong>View the Shiny App<\/strong><\/p>\n<p><a href=\"https:\/\/technicalelvis.shinyapps.io\/prince_song_recommender\/\">Click this link to view the R\/Shiny application<\/a><\/p>\n<p><strong>Slides<\/strong><\/p>\n<p><a href=\"http:\/\/telvis07.github.io\/data_products_peer_review_slides\/\">Click this link to view the presentation slides.<\/a><\/p>\n<p><strong>Data<\/strong><\/p>\n<p>This project uses data from the <a href=\"http:\/\/labrosa.ee.columbia.edu\/millionsong\/\">Million Song Dataset<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Overview This project contains a Prince song recommender developed using R and Shiny. This app was developed for Developing Data Products course by Johns Hopkins University View the Shiny App Click this link to view the R\/Shiny application Slides Click this link to view the presentation slides. Data This project uses data from the Million &hellip; <a href=\"https:\/\/technicalelvis.com\/blog\/2016\/05\/06\/prince-song-recommender-using-r-and-shiny\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Prince Song Recommender using R and Shiny<\/span> <span class=\"meta-nav\">&rarr;<\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":""},"categories":[19],"tags":[],"class_list":["post-752","post","type-post","status-publish","format-standard","hentry","category-data-science"],"_links":{"self":[{"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts\/752","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/comments?post=752"}],"version-history":[{"count":4,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts\/752\/revisions"}],"predecessor-version":[{"id":756,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/posts\/752\/revisions\/756"}],"wp:attachment":[{"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/media?parent=752"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/categories?post=752"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/technicalelvis.com\/blog\/wp-json\/wp\/v2\/tags?post=752"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}