{"id":1980,"date":"2021-03-22T01:25:09","date_gmt":"2021-03-22T01:25:09","guid":{"rendered":"http:\/\/optimumsportsperformance.com\/blog\/?p=1980"},"modified":"2021-03-22T13:11:52","modified_gmt":"2021-03-22T13:11:52","slug":"tidyx-53-mlb-pitch-classification-series-eda-hierarchical-clustering","status":"publish","type":"post","link":"https:\/\/optimumsportsperformance.com\/blog\/tidyx-53-mlb-pitch-classification-series-eda-hierarchical-clustering\/","title":{"rendered":"TidyX 53: MLB Pitch Classification Series &#8212; EDA &#038; Hierarchical Clustering"},"content":{"rendered":"<p>This week, <strong><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/twitter.com\/ellis_hughes\">Ellis Hughes<\/a><\/span><\/strong> and I begin a several week series on MLB Pitch Classification. Each week we will go over a different classification model using pitchf\/x data, which we accessed via the {<span style=\"color: #0000ff;\"><strong><a style=\"color: #0000ff;\" href=\"https:\/\/github.com\/keberwein\/mlbgameday\">mlbgameday<\/a><\/strong><\/span>} R package.<\/p>\n<p>In this first video of the series, we cover the following steps:<\/p>\n<ul>\n<li>Loading the data<\/li>\n<li>Data cleaning<\/li>\n<li>Exploratory data analysis<\/li>\n<li>Hierarchical cluster analysis<\/li>\n<li>Interactive plotting of the dendrogram in {plotly}<\/li>\n<\/ul>\n<p>To watch our screen cast, <strong><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/www.youtube.com\/watch?v=i9i5A1ZOQsE\">CLICK HERE<\/a><\/span><\/strong>.<\/p>\n<p>To access our code, <strong><span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/github.com\/thebioengineer\/TidyX\/tree\/master\/TidyTuesday_Explained\/053-MLB_pitch_classification_introduction\">CLICK HERE<\/a><\/span><\/strong>.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>This week, Ellis Hughes and I begin a several week series on MLB Pitch Classification. Each week we will go over a different classification model using pitchf\/x data, which we accessed via the {mlbgameday} R package. In this first video of the series, we cover the following steps: Loading the data Data cleaning Exploratory data [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[44],"tags":[],"class_list":["post-1980","post","type-post","status-publish","format-standard","hentry","category-tidyx-screen-cast"],"_links":{"self":[{"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/posts\/1980","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/comments?post=1980"}],"version-history":[{"count":2,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/posts\/1980\/revisions"}],"predecessor-version":[{"id":1982,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/posts\/1980\/revisions\/1982"}],"wp:attachment":[{"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/media?parent=1980"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/categories?post=1980"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/optimumsportsperformance.com\/blog\/wp-json\/wp\/v2\/tags?post=1980"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}