{"id":114,"date":"2025-01-10T19:27:27","date_gmt":"2025-01-10T19:27:27","guid":{"rendered":"https:\/\/new.dev.www.purdue.edu\/research\/mcap\/?page_id=114"},"modified":"2026-04-01T14:44:15","modified_gmt":"2026-04-01T14:44:15","slug":"illustration","status":"publish","type":"page","link":"https:\/\/www.purdue.edu\/research\/mcap\/illustration\/","title":{"rendered":"Illustration"},"content":{"rendered":"<div  class=\"purdue-home-cta-banner purdue-home-teritary-hero \">\n        <div class=\"section has-gold-background has-padding-top-large has-padding-bottom-large \">\n        <div class=\"container\">\n            <h1 class=\"second-level-page-heading purdue-home-teritary-hero__header\">MCAP graphic<\/h1>\n            <div class=\"purdue-home-teritary-hero__content\">\n                \n\n<p><\/p>\n\n            <\/div>\n                    <\/div>\n    <\/div>\n<\/div>\n\n\n<div  class=\"section \">\n    <div class=\"container\">\n                \n\n<div class=\"wp-block-columns page-layout-columns columns is-multiline is-layout-flex wp-container-core-columns-is-layout-9d6595d7 wp-block-columns-is-layout-flex\">\n<div class=\"wp-block-column column is-full-tablet page-layout-main is-layout-flow wp-block-column-is-layout-flow\">\n<h2 class=\"wp-block-heading\">About the MCAP graphic<\/h2>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"alignright size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"518\" height=\"356\" src=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/01\/MCAP-graphic.png\" alt=\"MCAP graphic\" class=\"wp-image-8\" srcset=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/01\/MCAP-graphic.png 518w, https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/01\/MCAP-graphic-300x206.png 300w\" sizes=\"auto, (max-width: 518px) 100vw, 518px\" \/><\/figure>\n<\/div>\n\n\n<p>MCAP&#8217;s graphic is a collaborative design by co-directors Kristine Marceau and Trent Mize, with some additional artwork from faculty affiliate Josh Doyle.<\/p>\n\n\n\n<p>The graphic includes numerous\u00a0methodological references, which we explain below.<\/p>\n\n\n\n<p><\/p>\n\n\n\n<div style=\"height:100px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Du Bois Spiral Chart<\/h3>\n\n\n\n<p>The bottom left circle in the MCAP graphic includes a recreation of sociologist W.E.B. Du Bois&#8217;s spiral chart. Trent Mize recreated the chart in Purdue colors by adapting\u00a0<a href=\"https:\/\/medium.com\/the-stata-guide\/graph-replication-the-du-bois-challenge-f0db93e719e6\">Asjad Naqvi&#8217;s Stata replication<\/a>.<\/p>\n\n\n\n<p>Read more about Du Bois&#8217;s pioneering work in the field of data visualization in&nbsp;<a href=\"https:\/\/www.smithsonianmag.com\/history\/first-time-together-and-color-book-displays-web-du-bois-visionary-infographics-180970826\/\">this article from The Smithsonian<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"511\" height=\"597\" src=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap_logo_dubois_spiral-no_text.png\" alt=\"&quot;&quot;\" class=\"wp-image-428\" style=\"width:328px;height:auto\" srcset=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap_logo_dubois_spiral-no_text.png 511w, https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap_logo_dubois_spiral-no_text-257x300.png 257w\" sizes=\"auto, (max-width: 511px) 100vw, 511px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h3 class=\"wp-block-heading\">Minard&#8217;s Infographic on Napoleon&#8217;s 1812 March&nbsp;<\/h3>\n\n\n\n<p>The top left circle in the MCAP graphic includes the famous infographic by Charles Minard which displays Napoleon&#8217;s 1812 march to Moscow (it did not go well). Data visualization pioneer Edward Tufte called it &#8220;probably the best statistical graphic ever drawn.&#8221; And the original is in Purdue colors!<\/p>\n\n\n\n<p>Read more&nbsp;<a href=\"https:\/\/www.onemodel.co\/blog\/great-data-storytelling-example\" target=\"_blank\" rel=\"noreferrer noopener\">about the infographic here<\/a>.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image size-large is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"488\" src=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/minard-napoleon-march-on-moscow-1812-infographic-1024x488.png\" alt=\"&quot;&quot;\" class=\"wp-image-429\" style=\"width:667px;height:auto\" srcset=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/minard-napoleon-march-on-moscow-1812-infographic-1024x488.png 1024w, https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/minard-napoleon-march-on-moscow-1812-infographic-300x143.png 300w, https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/minard-napoleon-march-on-moscow-1812-infographic-768x366.png 768w, https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/minard-napoleon-march-on-moscow-1812-infographic-1536x732.png 1536w, https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/minard-napoleon-march-on-moscow-1812-infographic.png 2003w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">A Productive Exchange Network<\/h2>\n\n\n\n<p>The top middle circle in the MCAP graphic shows a productive exchange network, which is the type of network MCAP represents. In productive exchange, multiple people and\/or groups are connected through a centralized hub or idea and work together through the hub to produce better outcomes. Productive exchange networks have been found to be the most productive type of network (hence the name!) and to produce the most positive emotion for members.<\/p>\n\n\n\n<p>Read more&nbsp;<a href=\"https:\/\/ecommons.cornell.edu\/server\/api\/core\/bitstreams\/a6aa5057-db9e-49c5-84fd-575f11d73d21\/content\">about exchange networks in Lawler (2018)<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"394\" height=\"314\" src=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap-productive-exchange-network.png\" alt=\"&quot;&quot;\" class=\"wp-image-430\" srcset=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap-productive-exchange-network.png 394w, https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap-productive-exchange-network-300x239.png 300w\" sizes=\"auto, (max-width: 394px) 100vw, 394px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">Anscombe&#8217;s Quartet<\/h2>\n\n\n\n<p>The top right circle in the MCAP graphic shows Francis Anscombe&#8217;s quartet, a famous example of why data visualization is so important. Each of the four sets of data have identical summary statistics and produce equal correlations. But, the relationships differ dramatically which is easily seen when the data is visualized. Trent Mize recreated the example in Stata using Purdue colors.<\/p>\n\n\n\n<p>Read more&nbsp;<a href=\"https:\/\/en.wikipedia.org\/wiki\/Anscombe%27s_quartet\">about Anscombe&#8217;s quartet on Wikipedia<\/a>.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"912\" height=\"608\" src=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap_logo_anscombe_quartet-no_text.png\" alt=\"&quot;&quot;\" class=\"wp-image-431\" style=\"width:477px;height:auto\" srcset=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap_logo_anscombe_quartet-no_text.png 912w, https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap_logo_anscombe_quartet-no_text-300x200.png 300w, https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap_logo_anscombe_quartet-no_text-768x512.png 768w\" sizes=\"auto, (max-width: 912px) 100vw, 912px\" \/><\/figure>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity\" \/>\n\n\n\n<h2 class=\"wp-block-heading\">MCAP Pedagogy in a MCAP Cap<\/h2>\n\n\n\n<p>The bottom right circle in the MCAP graphic depicts one of MCAP&#8217;s core missions: good methodological pedagogy. The instructor is teaching about\u00a0<a href=\"https:\/\/en.wikipedia.org\/wiki\/Kernel_density_estimation\">kernel density plots<\/a>\u00a0(which Trent Mize created in Stata using Purdue colors).<\/p>\n\n\n\n<p>The instructor is wearing a MCAP cap designed by faculty affiliate Josh Doyle.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"331\" height=\"310\" src=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap-pedagogy-in-cap.png\" alt=\"&quot;&quot;\" class=\"wp-image-433\" style=\"width:388px;height:auto\" srcset=\"https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap-pedagogy-in-cap.png 331w, https:\/\/www.purdue.edu\/research\/mcap\/wp-content\/uploads\/2025\/07\/mcap-pedagogy-in-cap-300x281.png 300w\" sizes=\"auto, (max-width: 331px) 100vw, 331px\" \/><\/figure>\n<\/div>\n\n\n\n<div class=\"wp-block-column column is-one-quarter-desktop is-full-tablet is-full-mobile page-layout-sidebar is-layout-flow wp-block-column-is-layout-flow\">\n<p><\/p>\n<\/div>\n<\/div>\n\n    <\/div>\n<\/div>\n\n\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"footnotes":""},"class_list":["post-114","page","type-page","status-publish","hentry"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.purdue.edu\/research\/mcap\/wp-json\/wp\/v2\/pages\/114","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.purdue.edu\/research\/mcap\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/www.purdue.edu\/research\/mcap\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/www.purdue.edu\/research\/mcap\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.purdue.edu\/research\/mcap\/wp-json\/wp\/v2\/comments?post=114"}],"version-history":[{"count":5,"href":"https:\/\/www.purdue.edu\/research\/mcap\/wp-json\/wp\/v2\/pages\/114\/revisions"}],"predecessor-version":[{"id":791,"href":"https:\/\/www.purdue.edu\/research\/mcap\/wp-json\/wp\/v2\/pages\/114\/revisions\/791"}],"wp:attachment":[{"href":"https:\/\/www.purdue.edu\/research\/mcap\/wp-json\/wp\/v2\/media?parent=114"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}