{"id":136,"date":"2019-03-26T14:09:44","date_gmt":"2019-03-26T21:09:44","guid":{"rendered":"https:\/\/blogs.ubc.ca\/yanliu1\/?page_id=136"},"modified":"2019-04-03T17:01:18","modified_gmt":"2019-04-04T00:01:18","slug":"2019-epse-581-data-visualization","status":"publish","type":"page","link":"https:\/\/blogs.ubc.ca\/yanliu1\/2019-epse-581-data-visualization\/","title":{"rendered":"Student Work &#8211; Data Viz"},"content":{"rendered":"<h1><span style=\"color: #333399;\">Shiny Apps<\/span><\/h1>\n<p><b>Visualizing PISA Data<br \/>\n<\/b><\/p>\n<p><em>Qinxin Lin, Xuyan Tang, Mindy Chiang<\/em><\/p>\n<p>Abstract: In our presentation, we demonstrate a way to present regression results in Shiny R. We illustrate this with the 2015 data from OECD\u2019s Programme for International Student Assessment, exploring home factors predicting Canadian students\u2019 performance in math, science or reading. Our Shiny R app presents results from our regression analyses, including tabs summarizing descriptive statistics, model diagnostics, and regression models tested, including various visualizations. We also present visualizations created in Tableau that present disaggregated data from the same data set in a lay-friendly manner, which is included in our PowerPoint slides.<\/p>\n<p><a href=\"https:\/\/tangxuyan.shinyapps.io\/regression\/\" target=\"_blank\" rel=\"noopener noreferrer\">Link<\/a><\/p>\n<p><a href=\"https:\/\/blogs.ubc.ca\/yanliu1\/files\/2019\/03\/581presentationMC.pdf\">Slides<\/a><\/p>\n<p><b>Examining the Liquors of British Columbia<br \/>\n<\/b><\/p>\n<p><em>Qinxin Lin &amp; Michelle O&#8217;Kane<br \/>\n<\/em><\/p>\n<p>Abstract:\u00a0 More Info coming soon!<\/p>\n<p><a href=\"https:\/\/qinxinlin.shinyapps.io\/BCLApp\/\" target=\"_blank\" rel=\"noopener noreferrer\">Link<\/a><\/p>\n<h1><span style=\"color: #333399;\">R Markdown Files<\/span><\/h1>\n<p><b>Visualizing the Differences between Dot Plots and Bar Charts<br \/>\n<\/b><\/p>\n<p><em>Sirui Wu<br \/>\n<\/em><\/p>\n<p>Abstract:<\/p>\n<p>The real estate price in Great Vancouver has gone dramatic ups and downs during the previous few years, attracting many people&#8217;s interest on the trend of it. In this case, we first focus the data visualization example given by the Real Estate Board, give some critiques on it, and then use ggplot2 package to create a new one to fix those disadvantages. One thing that you can see from the case is that, with simply changing the format from bar chart to dot plot, we can significantly reduce the complexity of the charts, showing that with tons of data points it could be more advisable to use dot plot instead of bar chart.<br \/>\nData sources: <a href=\"http:\/\/creastats.crea.ca\/vanc\/\">http:\/\/creastats.crea.ca\/vanc\/<\/a><\/p>\n<p><a href=\"http:\/\/rpubs.com\/Sirui\/467631\" target=\"_blank\" rel=\"noopener noreferrer\">Link<\/a><\/p>\n<p><strong>Markdown Examples Featuring Baseball Data<\/strong><\/p>\n<p><em>Michael Spagnut<br \/>\n<\/em><\/p>\n<p><a href=\"http:\/\/rpubs.com\/mspagnut\/468763\" target=\"_blank\" rel=\"noopener noreferrer\">Link<\/a><\/p>\n<h1><span style=\"color: #000080;\">Graphic Critiques &amp; Discussions<\/span><\/h1>\n<p><strong>A Case Study of an Investigative Journalism Viz Tool<\/strong><br \/>\nMichael Spagnut &amp; Mindy Chiang<br \/>\n<a href=\"https:\/\/blogs.ubc.ca\/yanliu1\/files\/2019\/04\/overview_-case-study.pdf\">overview_ case study<\/a><\/p>\n<p><strong>Vancouver Property Value Viz<\/strong><br \/>\nTakara Bond &amp; Xuyan Tang<br \/>\n<a href=\"https:\/\/blogs.ubc.ca\/yanliu1\/files\/2019\/04\/Property_Value.pdf\">Property_Value<\/a><\/p>\n<p><strong>Metro Vancouver Home Sales Viz<\/strong><br \/>\nRae Morris &amp; Sirui Wu<br \/>\n<a href=\"https:\/\/blogs.ubc.ca\/yanliu1\/files\/2019\/04\/Home_sales.pdf\">Home_sales<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Shiny Apps Visualizing PISA Data Qinxin Lin, Xuyan Tang, Mindy Chiang Abstract: In our presentation, we demonstrate a way to present regression results in Shiny R. We illustrate this with the 2015 data from OECD\u2019s Programme for International Student Assessment, exploring home factors predicting Canadian students\u2019 performance in math, science or reading. Our Shiny R [&hellip;]<\/p>\n","protected":false},"author":41823,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-136","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/blogs.ubc.ca\/yanliu1\/wp-json\/wp\/v2\/pages\/136","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.ubc.ca\/yanliu1\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/blogs.ubc.ca\/yanliu1\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/yanliu1\/wp-json\/wp\/v2\/users\/41823"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.ubc.ca\/yanliu1\/wp-json\/wp\/v2\/comments?post=136"}],"version-history":[{"count":17,"href":"https:\/\/blogs.ubc.ca\/yanliu1\/wp-json\/wp\/v2\/pages\/136\/revisions"}],"predecessor-version":[{"id":162,"href":"https:\/\/blogs.ubc.ca\/yanliu1\/wp-json\/wp\/v2\/pages\/136\/revisions\/162"}],"wp:attachment":[{"href":"https:\/\/blogs.ubc.ca\/yanliu1\/wp-json\/wp\/v2\/media?parent=136"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}