{"id":9,"date":"2018-01-27T01:53:51","date_gmt":"2018-01-27T01:53:51","guid":{"rendered":"https:\/\/www.macalester.edu\/datafest\/home\/"},"modified":"2024-02-23T11:13:49","modified_gmt":"2024-02-23T17:13:49","slug":"home","status":"publish","type":"page","link":"https:\/\/www.macalester.edu\/datafest\/","title":{"rendered":"DataFest"},"content":{"rendered":"<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" src=\"https:\/\/www.macalester.edu\/datafest\/wp-content\/uploads\/sites\/338\/datafest_logo_Macalester-College-1024x341.jpg\" alt=\"\" class=\"wp-image-56\" width=\"558\" height=\"185\" srcset=\"https:\/\/www.macalester.edu\/datafest\/wp-content\/uploads\/sites\/338\/datafest_logo_Macalester-College-1024x341.jpg 1024w,  https:\/\/www.macalester.edu\/datafest\/wp-content\/uploads\/sites\/338\/datafest_logo_Macalester-College-300x100.jpg 300w,  https:\/\/www.macalester.edu\/datafest\/wp-content\/uploads\/sites\/338\/datafest_logo_Macalester-College-768x256.jpg 768w,  https:\/\/www.macalester.edu\/datafest\/wp-content\/uploads\/sites\/338\/datafest_logo_Macalester-College-1536x511.jpg 1536w,  https:\/\/www.macalester.edu\/datafest\/wp-content\/uploads\/sites\/338\/datafest_logo_Macalester-College.jpg 1635w\" sizes=\"auto, (max-width: 558px) 100vw, 558px\" \/><\/figure>\n\n\n\n<h2 class=\"has-text-align-center wp-block-heading\" id=\"docs-internal-guid-26b57f48-6639-94eb-da80-b417cedfa642\"><strong>March 22 &#8211; March 24, 202<\/strong>4<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>What is DataFest?<\/strong><\/h3>\n\n\n\n<p>DataFest is a nationally-coordinated undergraduate competition in which teams of two to five students work over a weekend to extract insight from a rich and complex data set. Previous years\u2019 data sets have included crime data from the Los Angeles Police Department, dating data from eHarmony, energy use data from GridPoint, sales data from Ticketmaster, travel data from Expedia, and job posting data from Indeed. This year\u2019s data set will be revealed at the opening of the event on Friday evening. At the conclusion of the competition, each team will make a 5 minute presentation to our panel of judges. In addition to a \u201cBest in Show\u201d award, we will give awards such as best visualization and best use of external data.<\/p>\n\n\n\n<p>The mission of DataFest is to expose undergraduate students to challenging questions with immediate real-world significance that can be addressed through data analysis. The data will be more complex than typically seen in a classroom setting, and students will be given free reign to analyze it however they like. Each team will come up with a research question that is of interest to them, and conduct analyses to help answer this question. We hope that by collaborating with other students, faculty, and outside mentors on such an open-ended project, participants in DataFest will experience the power of data science in better understanding the world around us, realize its important role in our society, and leave with a thirst to acquire new data science skills.<\/p>","protected":false},"excerpt":{"rendered":"<p>March 22 &#8211; March 24, 2024 What is DataFest? DataFest is a nationally-coordinated undergraduate competition in which teams of two to five students work over a weekend to extract insight from a rich and complex data set. Previous years\u2019 data sets have included crime data from the Los Angeles Police Department, dating data from eHarmony, [&hellip;]<\/p>","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"open","ping_status":"open","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-9","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.macalester.edu\/datafest\/wp-json\/wp\/v2\/pages\/9","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.macalester.edu\/datafest\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.macalester.edu\/datafest\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.macalester.edu\/datafest\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.macalester.edu\/datafest\/wp-json\/wp\/v2\/comments?post=9"}],"version-history":[{"count":15,"href":"https:\/\/www.macalester.edu\/datafest\/wp-json\/wp\/v2\/pages\/9\/revisions"}],"predecessor-version":[{"id":99,"href":"https:\/\/www.macalester.edu\/datafest\/wp-json\/wp\/v2\/pages\/9\/revisions\/99"}],"wp:attachment":[{"href":"https:\/\/www.macalester.edu\/datafest\/wp-json\/wp\/v2\/media?parent=9"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}