{"id":227,"date":"2020-01-14T17:21:15","date_gmt":"2020-01-14T17:21:15","guid":{"rendered":"https:\/\/groups.cs.umass.edu\/asarv\/?page_id=227"},"modified":"2021-01-25T19:59:34","modified_gmt":"2021-01-25T19:59:34","slug":"spring-2020","status":"publish","type":"page","link":"https:\/\/groups.cs.umass.edu\/asarv\/spring-2020\/","title":{"rendered":"Data Visualization and Exploration &#8211; Spring 2020"},"content":{"rendered":"\t\t<div data-elementor-type=\"wp-page\" data-elementor-id=\"227\" class=\"elementor elementor-227\">\n\t\t\t\t\t\t<section class=\"elementor-section elementor-top-section elementor-element elementor-element-20ae69f elementor-section-boxed elementor-section-height-default elementor-section-height-default\" data-id=\"20ae69f\" data-element_type=\"section\" data-e-type=\"section\">\n\t\t\t\t\t\t<div class=\"elementor-container elementor-column-gap-default\">\n\t\t\t\t\t<div class=\"elementor-column elementor-col-100 elementor-top-column elementor-element elementor-element-c122c5e\" data-id=\"c122c5e\" data-element_type=\"column\" data-e-type=\"column\">\n\t\t\t<div class=\"elementor-widget-wrap elementor-element-populated\">\n\t\t\t\t\t\t<div class=\"elementor-element elementor-element-73452f2 elementor-tabs-view-horizontal elementor-widget elementor-widget-tabs\" data-id=\"73452f2\" data-element_type=\"widget\" data-e-type=\"widget\" data-widget_type=\"tabs.default\">\n\t\t\t\t<div class=\"elementor-widget-container\">\n\t\t\t\t\t\t\t<div class=\"elementor-tabs\">\n\t\t\t<div class=\"elementor-tabs-wrapper\" role=\"tablist\" >\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1201\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-1201\" aria-expanded=\"false\">Overview<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1202\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1202\" aria-expanded=\"false\">Class Schedule<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1203\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1203\" aria-expanded=\"false\">Project<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1204\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1204\" aria-expanded=\"false\">Papers &amp; Discussion<\/div>\n\t\t\t\t\t\t\t\t\t<div id=\"elementor-tab-title-1205\" class=\"elementor-tab-title elementor-tab-desktop-title\" aria-selected=\"false\" data-tab=\"5\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1205\" aria-expanded=\"false\">Resources<\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t\t<div class=\"elementor-tabs-content-wrapper\" role=\"tablist\" aria-orientation=\"vertical\">\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"true\" data-tab=\"1\" role=\"tab\" tabindex=\"0\" aria-controls=\"elementor-tab-content-1201\" aria-expanded=\"false\">Overview<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1201\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"1\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1201\" tabindex=\"0\" hidden=\"false\"><p style=\"text-align: center\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt;color: #333399\"><strong>Data Visualization and Analysis<\/strong><\/span><\/p>\n<p style=\"text-align: center\"><span style=\"font-family: arial, helvetica, sans-serif\"><span style=\"font-size: 12pt\">Spring 2020 Tuesday, Thursday, 8:30-9:45 AM LGRT room 121 <\/span><\/span><\/p>\n<p style=\"text-align: center\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt;color: #333399\"><strong>Instructor:<\/strong> <\/span><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt;text-decoration: underline\">Dr. Ali Sarvghad<\/span><\/p>\n<p style=\"text-align: center\"><span style=\"font-family: arial, helvetica, sans-serif\"><span style=\"font-size: 12pt\">asarv@cs.umass.edu,&nbsp;<\/span><\/span><span style=\"font-family: arial, helvetica, sans-serif\"><span style=\"font-size: 12pt\"> CICS 344 <\/span><\/span><\/p>\n<p style=\"text-align: center\"><span style=\"font-family: arial, helvetica, sans-serif\"><span style=\"font-size: 12pt\">Office hours: Monday 3-4:30 pm Other times, by appointment only. <\/span><\/span><\/p>\n<p style=\"text-align: center\"><span style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt;color: #333399\"><strong>Teaching Assistant:<\/strong> <\/span><u style=\"font-family: arial, helvetica, sans-serif;font-size: 12pt\">Nazanin Jafari<\/u><\/p>\n<p style=\"text-align: center\"><span style=\"font-family: arial, helvetica, sans-serif\"><span style=\"font-size: 16px\">nazaninjafar@umass.edu<\/span> <\/span><\/p>\n<p style=\"text-align: center\"><span style=\"font-family: arial, helvetica, sans-serif\"><span style=\"font-size: 12pt\">Office hours: 9 am &#8211; 11 am, CICS 207<\/span><\/span><\/p>\n<hr>\n<h3><span style=\"color: #000000\">Overview<\/span><\/h3>\n<p><span style=\"color: #000000\">Information visualization is an area of research that helps people analyze and understand data using visualization techniques. The multi-disciplinary area draws from other areas of science, including human-computer interaction, data science, psychology, and art, to develop new visualization methods and understand how (and why) they are effective.<\/span><\/p>\n<p><span style=\"color: #000000\">Information visualization methods are applied to data from many different application domains, including:<\/span><\/p>\n<ul>\n<li><span style=\"color: #000000\">Political reporting and forecasting \u2013 as seen on TV and in the papers in the election season.<\/span><\/li>\n<li><span style=\"color: #000000\">News reporting \u2013 look at the interactive visualizations used by the New York Times, Wall Street Journal, Slate, etc.<\/span><\/li>\n<li><span style=\"color: #000000\">Social science and economic data, such as census and other surveys, and micro and macroeconomic trends.<\/span><\/li>\n<li><span style=\"color: #000000\">Social networking and web traffic to understand patterns of communication<\/span><\/li>\n<li><span style=\"color: #000000\">Business intelligence and business dashboards \u2013 to forecast sales trends, understand competitive marketplace positions, allocate resources, manage production, and logistics.<\/span><\/li>\n<li><span style=\"color: #000000\">Text analysis \u2013 to determine trends and relationships for literary analysis and information retrieval.<\/span><\/li>\n<li><span style=\"color: #000000\">Criminal investigations \u2013 to portray the relationships between events, people, places, and things.<\/span><\/li>\n<li><span style=\"color: #000000\">Performance analysis of computer networks and systems.<\/span><\/li>\n<li><span style=\"color: #000000\">Software engineering \u2013 developing, debugging, and maintaining software.<\/span><\/li>\n<li><span style=\"color: #000000\">Bioinformatics, to understand DNA, gene expressions, systems biology.<\/span><\/li>\n<\/ul>\n<hr>\n<h4><span style=\"color: #000000\"><strong>Course objectives<\/strong><\/span><\/h4>\n<ul>\n<li><span style=\"color: #000000\">Learn the principles involved in information visualization<\/span><\/li>\n<li><span style=\"color: #000000\">Understand the wide variety of information visualizations and know what visualizations are appropriate for various types of data and for different goals<\/span><\/li>\n<li><span style=\"color: #000000\">Develop skills in critiquing different visualization techniques in the context of user goals and objectives<\/span><\/li>\n<li><span style=\"color: #000000\">Learn how to implement compelling information visualizations<\/span><\/li>\n<\/ul>\n<hr>\n<h4><span style=\"color: #000000\"><strong>Recommended text<\/strong><\/span><\/h4>\n<p>The following textbooks are strongly recommended for this course. Particularly, we will closely follow Tamara Munzner&#8217;s book:<\/p>\n<ul>\n<li><span style=\"color: #000000\"><span style=\"text-decoration: underline\"><em>Visualization&nbsp;Analysis and Design<\/em><\/span>, Tamara Munzner, CRC Press, ISBN 9781466508910. Principles and paradigms of visualization design<\/span><span style=\"color: #000000\">.&nbsp;<\/span><\/li>\n<li><span style=\"color: #000000\"><span style=\"text-decoration: underline\"><em>Interactive Data Visualization for the Web<\/em><\/span>, Scott Murray, O\u2019Reilly Media, ISBN 9781449339739. All about D3, the programming tool we will be using for <\/span>homework<span style=\"color: #000000\"> and projects.&nbsp;<\/span><\/li>\n<\/ul>\n<hr>\n<h4><span style=\"color: #000000\"><strong>Evaluation<\/strong><\/span><\/h4>\n<p>Grading will be based on the project deliverables, midterm exam, class participation, and final project demo. &nbsp;Final course grades may be curved (but not always). Grading weights are:<\/p>\n<table style=\"height: 100%;width: 100.178%;border-collapse: collapse\" border=\"0\">\n<tbody>\n<tr style=\"height: 17px\">\n<td style=\"width: 420.4px;height: 17px\">Midterm exam<\/td>\n<td style=\"width: 135.6px;height: 17px\">30%<\/td>\n<\/tr>\n<tr style=\"height: 17px\">\n<td style=\"width: 420.4px;height: 19px\">Class participation<\/td>\n<td style=\"width: 135.6px;height: 19px\">10%<\/td>\n<\/tr>\n<tr style=\"height: 10px\">\n<td style=\"width: 420.4px;height: 10px\">Paper reading &amp; Discussion<\/td>\n<td style=\"width: 135.6px;height: 10px\">15%<\/td>\n<\/tr>\n<tr style=\"height: 17px\">\n<td style=\"width: 420.4px;height: 17px\">Course project &amp; deliverables<\/td>\n<td style=\"width: 135.6px;height: 17px\">45%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><em><img decoding=\"async\" class=\"\" src=\"https:\/\/i.ya-webdesign.com\/images\/finger-pointing-right-png-11.png\" alt=\"Image result for pointing hand icon\" width=\"45\" height=\"45\">&nbsp; &nbsp; Project details can be found under the Project tab.&nbsp;<\/em><\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"2\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1202\" aria-expanded=\"false\">Class Schedule<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1202\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"2\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1202\" tabindex=\"0\" hidden=\"hidden\"><p><span style=\"font-size: 10pt\"><strong>Course Schedule (Lectures, midterm, due dates)<\/strong><\/span><\/p><table style=\"border-collapse: collapse;width: 94.891%;height: 100%\" border=\"1\"><tbody><tr style=\"height: 17px\"><td style=\"width: 3.12602%;height: 17px\"><span style=\"font-size: 10pt\"><strong>Week<\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\"><strong>Date<\/strong><\/span><\/td><td style=\"width: 27.5726%;height: 17px\"><span style=\"font-size: 10pt\"><strong>Topic<\/strong><\/span><\/td><td style=\"width: 1.95413%;height: 17px\"><span style=\"font-size: 10pt\"><strong>Project Milestones<\/strong><\/span><\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 34px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>1<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">1\/21<\/span><\/td><td style=\"width: 27.5726%;height: 17px\"><span style=\"font-size: 10pt\">Course overview &amp; Intro to InfoVis<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">1\/23<\/span><\/td><td style=\"width: 27.5726%;height: 27px\"><span style=\"font-size: 10pt\">Data abstraction, <\/span><span style=\"font-size: 10pt\">Exercise: data abstraction<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff;height: 17px\"><td style=\"width: 3.12602%;height: 20px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>2<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%\"><span style=\"font-size: 10pt\">1\/28<\/span><\/td><td style=\"width: 27.5726%\"><span style=\"font-size: 10pt\">D3: set up, drawing with SVG<\/span><\/td><td style=\"width: 1.95413%\">\u00a0<\/td><\/tr><tr><td style=\"width: 6.50199%\"><span style=\"font-size: 10pt\">1\/30<\/span><\/td><td style=\"width: 27.5726%\"><span style=\"font-size: 10pt\">Task abstraction, Exercise: task abstraction<\/span><\/td><td style=\"width: 1.95413%\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 27px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>3<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 10px\"><span style=\"font-size: 10pt\">2\/4<\/span><\/td><td style=\"width: 27.5726%;height: 20px\" rowspan=\"2\"><span style=\"font-size: 10pt\">Validation, Marks &amp; Channels, rules of thumb, Exercise: Decoding<\/span><\/td><td style=\"width: 1.95413%;height: 10px\"><span style=\"font-size: 10pt\">Form groups<\/span><\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">2\/6<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 33px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>4<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 16px\"><span style=\"font-size: 10pt\">2\/11<\/span><\/td><td style=\"width: 27.5726%;height: 33px\" rowspan=\"2\"><span style=\"font-size: 10pt\">Tables, color, <\/span><span style=\"font-size: 10pt\">Exercise: 2N\/BR\/CP<\/span><\/td><td style=\"width: 1.95413%;height: 16px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">2\/13<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 34px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>5<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">2\/18<\/span><\/td><td style=\"width: 27.5726%;height: 17px\"><span style=\"color: #ff6600;font-size: 10pt\">No class &#8211; Monday Schedule<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"height: 17px\"><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">2\/20<\/span><\/td><td style=\"width: 27.5726%;height: 17px\" rowspan=\"2\"><span style=\"font-size: 13.3333px\">Visualizing spatial data, Networks, &amp; Trees, <\/span><span style=\"font-size: 10pt\">Exercise<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">Due: Dataset<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 34px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>6<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">2\/25<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"height: 17px\"><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">2\/27<\/span><\/td><td style=\"width: 27.5726%;height: 17px\"><span style=\"font-size: 13.3333px\">D3: Making basic charts<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0Due: Data abstraction<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 34px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>7<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">3\/3<\/span><\/td><td style=\"width: 27.5726%;height: 34px\" rowspan=\"2\"><span style=\"font-size: 10pt\">Handle data complexity: manipulate, Facet, Reduce, Exercise<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">3\/5<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0Due: Task abstraction<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 28px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>8<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 10px\"><span style=\"font-size: 10pt\">3\/10<\/span><\/td><td style=\"height: 10px;width: 27.5726%\"><span style=\"font-size: 13.3333px\">Review<\/span><\/td><td style=\"width: 1.95413%;height: 10px\">\u00a0<\/td><\/tr><tr style=\"height: 18px\"><td style=\"width: 6.50199%;height: 18px\"><span style=\"font-size: 10pt\">3\/12<\/span><\/td><td style=\"width: 29.5267%;height: 18px\" colspan=\"2\"><span style=\"color: #ff6600\"><span style=\"font-size: 13.3333px\">Midterm exam<\/span><\/span><\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 20px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>9<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 10px\"><span style=\"font-size: 10pt\">3\/17<\/span><\/td><td style=\"width: 29.5267%;height: 20px\" colspan=\"2\" rowspan=\"2\"><span style=\"color: #ff6600\"><span style=\"font-size: 13.3333px\">Spring break<\/span><\/span><\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 6.50199%;height: 10px\"><span style=\"font-size: 10pt\">3\/19<\/span><\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 27px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>10<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">3\/24<\/span><\/td><td style=\"width: 27.5726%;height: 17px\"><span style=\"font-size: 13.3333px\">D3: scales, axes<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 6.50199%;height: 10px\"><span style=\"font-size: 10pt\">3\/26<\/span><\/td><td style=\"width: 27.5726%;height: 10px\"><span style=\"font-size: 13.3333px\">D3:\u00a0interactivity, layouts<\/span><\/td><td style=\"width: 1.95413%;height: 10px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 34px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>11<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 13.3333px\">3\/31<\/span><\/td><td style=\"width: 27.5726%;height: 17px\"><span style=\"font-size: 13.3333px\">Storytelling with data<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">Due: project proposal<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">4\/2<\/span><\/td><td style=\"width: 27.5726%;height: 17px\"><span style=\"font-size: 13.3333px\">Proposal peer evaluation<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 34px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>12<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">4\/7<\/span><\/td><td style=\"width: 27.5726%;height: 17px\"><span style=\"font-size: 13.3333px\">User evaluation methods for visualization<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 6.50199%;height: 17px\"><span style=\"font-size: 10pt\">4\/9<\/span><\/td><td style=\"width: 27.5726%;height: 17px\"><span style=\"font-size: 13.3333px\">Data analysis<\/span><\/td><td style=\"width: 1.95413%;height: 17px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 20px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>13<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 10px\"><span style=\"font-size: 10pt\">4\/14<\/span><\/td><td style=\"width: 27.5726%;height: 10px\">TBD<\/td><td style=\"width: 1.95413%;height: 10px\">\u00a0<\/td><\/tr><tr style=\"height: 33px\"><td style=\"width: 6.50199%;height: 10px\"><span style=\"font-size: 10pt\">4\/16<\/span><\/td><td style=\"width: 27.5726%;height: 10px\">TBD<\/td><td style=\"width: 1.95413%;height: 10px\"><span style=\"font-size: 10pt\">\u00a0<\/span><\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 20px\" rowspan=\"2\"><span style=\"font-size: 10pt\"><strong>14<\/strong><\/span><br \/><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><span style=\"font-size: 10pt\"><strong><br \/><\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 10px\"><span style=\"font-size: 10pt\">4\/21<\/span><\/td><td style=\"width: 27.5726%;height: 10px\"><span style=\"font-size: 13.3333px\">TBD<\/span><\/td><td style=\"width: 1.95413%;height: 10px\">\u00a0<\/td><\/tr><tr style=\"height: 18px\"><td style=\"width: 6.50199%;height: 10px\"><span style=\"font-size: 10pt\">4\/23<\/span><\/td><td style=\"width: 27.5726%;height: 10px\"><span style=\"font-size: 13.3333px\">Wrap up<\/span><\/td><td style=\"width: 1.95413%;height: 10px\">\u00a0<\/td><\/tr><tr style=\"background-color: #ffffff\"><td style=\"width: 3.12602%;height: 10px\"><span style=\"font-size: 10pt\"><strong>15<\/strong><\/span><\/td><td style=\"width: 6.50199%;height: 10px\"><span style=\"font-size: 10pt\">4\/28<\/span><\/td><td style=\"width: 27.5726%;height: 10px\"><span style=\"font-size: 10pt\">Projects demo<\/span><\/td><td style=\"width: 1.95413%;height: 10px\"><span style=\"font-size: 10pt\">Demo<\/span><\/td><\/tr><\/tbody><\/table><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"3\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1203\" aria-expanded=\"false\">Project<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1203\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"3\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1203\" tabindex=\"0\" hidden=\"hidden\"><h2>Project overview<\/h2><p>The course project carries 45<strong>%<\/strong> of the overall course grade.\u00a0<\/p><ul><li><h4>Groups<\/h4><ul><li><p>Each group <span style=\"text-decoration: underline\">MUST<\/span> be comprised of both grad and undergrad students. The preferred size of a group is 4. Groups smaller than 3 and bigger than 5 will not be allowed (unless under special circumstances and with instructor&#8217;s approval). Expectations will <span style=\"text-decoration: underline\">NOT<\/span> be adjusted according to group size.<\/p><\/li><\/ul><\/li><\/ul><ul><li><h4>Project proposal (35%) \u00a0<\/h4><ul><li>Data &amp; problem selection (10%)<\/li><li>Users and tasks identification (10%)<\/li><li>Data and task abstraction (10%)<\/li><li>Design (20%)<\/li><li><img decoding=\"async\" class=\"\" src=\"https:\/\/i.ya-webdesign.com\/images\/finger-pointing-right-png-11.png\" alt=\"Image result for pointing hand icon\" width=\"36\" height=\"36\" \/> See details<\/li><\/ul><\/li><\/ul><ul><li><h4>Peer evaluation (10%) \u00a0<\/h4><ul><li>Provide feedback about another group&#8217;s project proposal<\/li><li><img decoding=\"async\" class=\"\" src=\"https:\/\/i.ya-webdesign.com\/images\/finger-pointing-right-png-11.png\" alt=\"Image result for pointing hand icon\" width=\"36\" height=\"36\" \/> See details<\/li><\/ul><\/li><\/ul><ul><li><h4>User evaluation (10%)\u00a0\u00a0<\/h4><ul><li>Report of methodology, data analysis, and findings<\/li><li><img decoding=\"async\" class=\"\" src=\"https:\/\/i.ya-webdesign.com\/images\/finger-pointing-right-png-11.png\" alt=\"Image result for pointing hand icon\" width=\"36\" height=\"36\" \/> See details<\/li><\/ul><\/li><\/ul><ul><li><h4>Final demo (35%)<\/h4><ul><li>Interactivity (5%)<\/li><li>Data manipulation (15%)<\/li><li>Supporting exploration (20%)<\/li><li><img decoding=\"async\" class=\"\" src=\"https:\/\/i.ya-webdesign.com\/images\/finger-pointing-right-png-11.png\" alt=\"Image result for pointing hand icon\" width=\"36\" height=\"36\" \/> See details<\/li><\/ul><\/li><li><h4>Final report (10%)<\/h4><ul><li>Implementation details\u00a0<\/li><li>Evaluation (10%)<\/li><li><img decoding=\"async\" class=\"\" src=\"https:\/\/i.ya-webdesign.com\/images\/finger-pointing-right-png-11.png\" alt=\"Image result for pointing hand icon\" width=\"36\" height=\"36\" \/> See details<\/li><\/ul><\/li><\/ul><p>No matter what topic you choose, I am expecting a high-quality project. This project accounts for 45%\u00a0 your grade in this course\u00a0 and will require a significant amount of time and effort. In particular, I&#8217;m seeking creative projects showcasing interesting ideas. A good project should consist of visualization designs and a software artifact that implements the designs. Interaction is key in information visualization, and it is difficult to understand the interaction issues in your project without a running system.\u00a0 Ideally, I would like your efforts to be innovative and to result in some form of potential publication to similar venues and styles as the papers that we have read throughout the semester.<\/p><p>You should develop a web-deployable\u00a0system so that your system can be shown to everyone in the world, and use D3 for visualizing data! Arguments will be entertained for using different visualization toolkits, but in general, D3 is preferred. Using a different toolkit should be approved by the professor prior to starting any code<\/p><hr \/><h2>Project details<\/h2><p>The idea of the project is to take the knowledge and background that you are learning this semester about Information Visualization and put it to good use in a new, creative effort. A real key to the project, however, is to select a data set that people will find interesting and intriguing. Even better would be to select a data set with a clearly identified set of &#8220;users&#8221; or &#8220;analysts&#8221; who care deeply about that data. Select a topic that people want to know more about! I cannot emphasize strongly enough the importance of your topic and data set.<\/p><h4>Project proposal<\/h4><p>The project proposal is a document that you will gradually complete before its due date on TBD. In this document, you will provide detailed information about the most important aspects of your project:<\/p><ol><li>\u00a0Data<\/li><li>Intended users<\/li><li>Problem<\/li><li>Prior work related to the problem you are investigating<\/li><li>Your proposed visual solution<\/li><li>Argue why\/how your solution will address the problem<\/li><\/ol><p>\u00a0<\/p><ol><li><strong>Data<\/strong><ul><li>BYOD (Bring Your Own Data)<ul><li>you (or your teammates) have your own data to analyze such as:<ul><li>thesis\/research topic<\/li><li>personal interest<\/li><li>dovetail with another course (sometimes works, but timing may be tricky)<\/li><\/ul><\/li><\/ul><\/li><li>FDOI (Find Data of Interest)<ul><li>many existing datasets on the internet<\/li><li>Can be tricky to determine reasonable analysis tasks that users may want to do<\/li><\/ul><\/li><\/ul><\/li><li><strong>Intended user<\/strong><ul><li>\u00a0<\/li><\/ul><\/li><li><strong>Problem<\/strong><ul><li>\u00a0<\/li><\/ul><\/li><li><strong>Related work<\/strong><ul><li>\u00a0<\/li><\/ul><\/li><li><strong>Solution<\/strong><ul><li>\u00a0<\/li><\/ul><\/li><li><strong>Proposal examples<\/strong><\/li><\/ol><hr \/><h2><strong>Tips for a Successful Project<\/strong><\/h2><p>It is extremely important to select an interesting problem with data that some group of people will care deeply about. I cannot stress enough how vital it is to start with interesting data. Find some topic that almost everyone cares about (e.g., baby names, feature films, traffic in Boston, flight delays, the stock market, weather, etc. &#8212; <em>THERE\u2019S DATA ALL AROUND YOU!<\/em>) or that some subset of people really care about (e.g., sports data, politics, personal health etc.). Consider combining different data sets to produce a new composite data set of special interest. Such a fusion of data often creates a dataset that people want to learn about. Remember that this often takes time and effort to \u201cfuse\u201d multiple data types, so you want to make sure you pick them wisely (i.e., they should be in support of the questions that you want people to be able to answer using your tool).<\/p><p>Two possible styles of successful visualization projects (definitely the space is not limited to these two):<\/p><p>In the first style, the group created a visualization system that has only one view\/representation but this representation is new and creative. Here, you should focus on designing an innovative new visual representation. The actual user interface may have different components or pieces, but it should be tightly integrated. The real focus here is on creativity and innovation, and the novel representation of the information. These projects emphasize the mappings between the data (and characteristics\/variables of the data) to visual encodings, glyphs, and metaphors.<\/p><p>The second type of successful project employs multiple coordinated views where each view may use some well-known visualization techniques, perhaps customized a little for this problem. The emphasis in this type of project is to create a sound, functional system implementation that clearly can be of help for data analysis and understanding. It is important in this type of project to have coordinated views that work well together and provide different perspectives on the data. This type of project does not have the same level of visualization innovation as the first, but it comes together in strong system implementation, including well-designed user interactions that allow users to explore the data and progress through their task to answer the questions they may have of the data.<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"4\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1204\" aria-expanded=\"false\">Papers &amp; Discussion<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1204\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"4\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1204\" tabindex=\"0\" hidden=\"hidden\"><h3>Required Reading (15%)<\/h3><p>Each Tuesday, we will post a paper(s) on Moodle related to the topics that we have covered in the class. All the students <span style=\"text-decoration: underline\">MUST<\/span> read the paper(s) and provide a summary(s) of the research on Piazza. In addition to the summary, graduate students <span style=\"text-decoration: underline\">MUST<\/span> post at least one question\/critique about the paper and answer others&#8217; questions\/critiques. This is optional for undergrads though we encourage them to participate in discussions around the papers. Summary(s) is due on Monday of the following week.\u00a0<\/p><h4>Your summary <span style=\"text-decoration: underline\">MUS<\/span>T include the following:<\/h4><ul><li>Explain the problem that the paper investigates. Why is it important? Whom does it affect?<\/li><li>How the authors propose to investigate\/solve this problem?<\/li><li>Why &amp; how the proposed solution can address the problem?<\/li><li>How do they evaluate their solution? What methodology do they use in their evaluation?<\/li><li>What are the most important findings of their evaluation?<\/li><\/ul><p>We will read all of your summaries and questions\/critiques every week. However, we will <span style=\"text-decoration: underline\">NOT<\/span> provide you with feedback unless your work is below the bar or is missing.<\/p><p>You can find many guidelines online that describe how to read and summarize a research paper. <span style=\"color: #0000ff\"><a style=\"color: #0000ff\" href=\"https:\/\/www.eecs.harvard.edu\/~michaelm\/postscripts\/ReadPaper.pdf\">Here<\/a><\/span> is an example from Harvard. You can also talk to me our the TA if you have any questions about reading and summarizing research papers.<\/p><p>\u00a0<\/p><\/div>\n\t\t\t\t\t\t\t\t\t<div class=\"elementor-tab-title elementor-tab-mobile-title\" aria-selected=\"false\" data-tab=\"5\" role=\"tab\" tabindex=\"-1\" aria-controls=\"elementor-tab-content-1205\" aria-expanded=\"false\">Resources<\/div>\n\t\t\t\t\t<div id=\"elementor-tab-content-1205\" class=\"elementor-tab-content elementor-clearfix\" data-tab=\"5\" role=\"tabpanel\" aria-labelledby=\"elementor-tab-title-1205\" tabindex=\"0\" hidden=\"hidden\"><p><strong>D3 Resources<\/strong><\/p><p><a href=\"http:\/\/www.youtube.com\/watch?v=8jvoTV54nXw\"><span style=\"color: #3366ff\">http:\/\/www.youtube.com\/watch?v=8jvoTV54nXw<\/span><\/a>\u00a0\u2013 nice overview and run-through video\/talk<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"http:\/\/alignedleft.com\/tutorials\/d3\/\">http:\/\/alignedleft.com\/tutorials\/d3\/<\/a><\/span>\u00a0\u2013 thorough d3 tutorials from an academic instructor and the author of the open OReilly book, \u201cInteractive Data Visualization for the Web\u201d (look for free preview link for the actual book draft<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"https:\/\/sightlinevis.com\/\">http:\/\/sightlinevis.com\/<\/a><\/span>\u00a0\u2013 many d3 examples<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"https:\/\/www.youtube.com\/user\/d3Vienno\/videos?view=0&amp;flow=grid\">https:\/\/www.youtube.com\/user\/d3Vienno\/videos?view=0&amp;flow=grid<\/a>\u00a0<\/span>\u2013 many tutorial videos by d3Vienno<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"http:\/\/www.cs171.org\/2015\/resources\/\">http:\/\/www.cs171.org\/2015\/resources\/<\/a>\u00a0<\/span>\u2013 list of d3 resources from Harvard CS 171 class<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"https:\/\/github.com\/mbostock\/d3\/wiki\/Tutorials\">https:\/\/github.com\/mbostock\/d3\/wiki\/Tutorials<\/a>\u00a0<\/span>\u2013 big list of resources from the author of D3<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"https:\/\/github.com\/mbostock\/d3\/wiki\/API-Reference\">https:\/\/github.com\/mbostock\/d3\/wiki\/API-Reference<\/a>\u00a0<\/span>\u2013 well-done D3 documentation<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"http:\/\/www.d3noob.org\/\">http:\/\/www.d3noob.org<\/a><\/span>\u00a0\u2013 free ebook with lots of tips and tricks, actively updated<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"http:\/\/www.jeromecukier.net\/wp-content\/uploads\/2012\/10\/d3-cheat-sheet.pdf\">http:\/\/www.jeromecukier.net\/wp-content\/uploads\/2012\/10\/d3-cheat-sheet.pdf<\/a>\u00a0<\/span>\u2013 cheat sheet for D3, also see parent site for blog posts<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"https:\/\/groups.google.com\/forum\/?fromgroups=#!forum\/d3-js\">https:\/\/groups.google.com\/forum\/?fromgroups=#!forum\/d3-js<\/a>\u00a0<\/span>\u2013 D3 Google group<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"http:\/\/bost.ocks.org\/mike\/selection\/\">http:\/\/bost.ocks.org\/mike\/selection\/<\/a>\u00a0<\/span>\u2013 Guide to understanding selections, key part of D3.<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"http:\/\/benclinkinbeard.com\/talks\/2012\/NCDevCon\/\">http:\/\/benclinkinbeard.com\/talks\/2012\/NCDevCon\/<\/a><\/span>\u00a0\u2013 A talk, with interactive examples and code snippets, explaining d3<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"http:\/\/www.udacity.com\/course\/data-visualization-and-d3js--ud507\">http:\/\/www.udacity.com\/course\/data-visualization-and-d3js\u2013ud507<\/a>\u00a0<\/span>\u2013 d3.js Udacity Course<br \/><a href=\"http:\/\/bl.ocks.org\/curran\/3a68b0c81991e2e94b19\"><span style=\"color: #3366ff\">http:\/\/bl.ocks.org\/curran\/3a68b0c81991e2e94b19<\/span><\/a>\u00a0\u2013 Responsive Visualizations (Resizing)<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"http:\/\/bl.ocks.org\/hubgit\/raw\/9133448\/\">http:\/\/bl.ocks.org\/hubgit\/raw\/9133448\/<\/a>\u00a0<\/span>\u2013 Nesting CSV Data<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"https:\/\/bost.ocks.org\/mike\/nest\/\">http:\/\/bost.ocks.org\/mike\/nest\/<\/a>\u00a0<\/span>\u2013 Nesting Visualization Elements<br \/><span style=\"color: #3366ff\"><a style=\"color: #3366ff\" href=\"http:\/\/www.visualcinnamon.com\/blog\">http:\/\/www.visualcinnamon.com\/blog<\/a>\u00a0<\/span>\u2013 Creative Tutorials from Nadieh Bremer<\/p><\/div>\n\t\t\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"<p>Overview Class Schedule Project Papers &amp; Discussion Resources Overview Data Visualization and Analysis Spring 2020 Tuesday, Thursday, 8:30-9:45 AM LGRT room 121 Instructor: Dr. Ali Sarvghad asarv@cs.umass.edu,&nbsp; CICS 344 Office hours: Monday 3-4:30 pm Other times, by appointment only. Teaching Assistant: Nazanin Jafari nazaninjafar@umass.edu Office hours: 9 am \u2013 11 am, CICS 207 Overview Information &hellip; <a href=\"https:\/\/groups.cs.umass.edu\/asarv\/spring-2020\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Data Visualization and Exploration &#8211; Spring 2020&#8221;<\/span><\/a><\/p>\n","protected":false},"author":10,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"footnotes":""},"class_list":["post-227","page","type-page","status-publish","hentry","group-blog","hfeed"],"_links":{"self":[{"href":"https:\/\/groups.cs.umass.edu\/asarv\/wp-json\/wp\/v2\/pages\/227","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/groups.cs.umass.edu\/asarv\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/groups.cs.umass.edu\/asarv\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/asarv\/wp-json\/wp\/v2\/users\/10"}],"replies":[{"embeddable":true,"href":"https:\/\/groups.cs.umass.edu\/asarv\/wp-json\/wp\/v2\/comments?post=227"}],"version-history":[{"count":48,"href":"https:\/\/groups.cs.umass.edu\/asarv\/wp-json\/wp\/v2\/pages\/227\/revisions"}],"predecessor-version":[{"id":302,"href":"https:\/\/groups.cs.umass.edu\/asarv\/wp-json\/wp\/v2\/pages\/227\/revisions\/302"}],"wp:attachment":[{"href":"https:\/\/groups.cs.umass.edu\/asarv\/wp-json\/wp\/v2\/media?parent=227"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}