{"id":2151,"date":"2026-03-17T14:00:03","date_gmt":"2026-03-17T14:00:03","guid":{"rendered":"https:\/\/visual-detroit.com\/wp\/?p=2151"},"modified":"2026-03-17T14:03:37","modified_gmt":"2026-03-17T14:03:37","slug":"detroit-fire-incidents-dashboard","status":"publish","type":"post","link":"https:\/\/visual-detroit.com\/wp\/detroit-fire-incidents-dashboard\/","title":{"rendered":"Detroit Fire Incidents Dashboard"},"content":{"rendered":"\n<p>I&#8217;ve just published a <a href=\"https:\/\/public.tableau.com\/views\/DetroitFireIncidents2017-2025\/Dashboard1?:language=en-US&amp;publish=yes&amp;:sid=&amp;:redirect=auth&amp;:display_count=n&amp;:origin=viz_share_link\" target=\"_blank\" rel=\"noreferrer noopener\">Detroit Fire Incidents Dashboard<\/a> on Tableau Public, covering all calls between 2017 and 2025. The <a href=\"https:\/\/data.detroitmi.gov\" type=\"link\" id=\"https:\/\/data.detroitmi.gov\" target=\"_blank\" rel=\"noreferrer noopener\">Detroit Open Data Portal<\/a> is our data source. Here&#8217;s a screenshot of the full dashboard:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"689\" height=\"1006\" src=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image.png\" alt=\"\" class=\"wp-image-2153\" srcset=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image.png 689w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-205x300.png 205w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-329x480.png 329w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-68x100.png 68w\" sizes=\"auto, (max-width: 689px) 100vw, 689px\" \/><figcaption class=\"wp-element-caption\">Detroit Fire Incidents Tableau Public dashboard<\/figcaption><\/figure>\n<\/div>\n\n\n<div style=\"height:39px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<h2 class=\"wp-block-heading\">Detroit Fire Incidents Dashboard Anatomy<\/h2>\n\n\n\n<p>The dashboard contains a lot of information, so we&#8217;re going to learn more by walking through each section. Let&#8217;s begin with the summary section:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"475\" height=\"175\" src=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-1.png\" alt=\"\" class=\"wp-image-2154\" srcset=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-1.png 475w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-1-300x111.png 300w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-1-100x37.png 100w\" sizes=\"auto, (max-width: 475px) 100vw, 475px\" \/><figcaption class=\"wp-element-caption\">Summary section<\/figcaption><\/figure>\n<\/div>\n\n\n<p>This is where we get a quick read on the number of calls, the average per day, and the average (mean) response time between the call time and arrival time. The data automatically updates based on the filters applied (engine area, neighborhood, incident category).<\/p>\n\n\n\n<p>After finishing the summary section, we can move on to the call detail portion of the dashboard:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"508\" height=\"328\" src=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-2.png\" alt=\"\" class=\"wp-image-2155\" srcset=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-2.png 508w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-2-300x194.png 300w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-2-100x65.png 100w\" sizes=\"auto, (max-width: 508px) 100vw, 508px\" \/><figcaption class=\"wp-element-caption\">Call pattern detail<\/figcaption><\/figure>\n<\/div>\n\n\n<div style=\"height:39px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>The first chart shows the response time distribution, with a box plot indicating the lower quartile, median, and upper quartile breakpoints. Each dot represents a specific incident call. We cap the plot at 60 minutes to remove extreme outliers and any potentially suspect data. <\/p>\n\n\n\n<p>The second chart in the section is a horizon plot, showing peak periods (by month) for call volumes. Lighter shades indicate lighter volumes, and the darkest shades indicate peak periods. Why do we use a horizon plot &#8211; because horizon plots provide a compact format (compared to bar charts) for viewing time-series data.<\/p>\n\n\n\n<p>Our final chart in the dashboard is a sunburst chart, where two levels (or more) of data can be displayed. The inner ring contains aggregations (fire, non-fire, no incident), with the outer ring displaying more specific incident categories.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"488\" height=\"462\" src=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-3.png\" alt=\"\" class=\"wp-image-2156\" srcset=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-3.png 488w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-3-300x284.png 300w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-3-100x95.png 100w\" sizes=\"auto, (max-width: 488px) 100vw, 488px\" \/><figcaption class=\"wp-element-caption\">Call type detail<\/figcaption><\/figure>\n<\/div>\n\n\n<div style=\"height:39px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>A set of simple filters controls the dashboard display elements. These filters focus on engine area, incident type, neighborhood, and call range, and can all be modified to update all dashboard elements. The bottom area of the filters displays the specific area selected within the city.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"187\" height=\"369\" src=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-4.png\" alt=\"\" class=\"wp-image-2157\" srcset=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-4.png 187w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-4-152x300.png 152w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-4-51x100.png 51w\" sizes=\"auto, (max-width: 187px) 100vw, 187px\" \/><figcaption class=\"wp-element-caption\">Dashboard filters<\/figcaption><\/figure>\n<\/div>\n\n\n<div style=\"height:39px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>Finally, the dashboard contains a simple text overview providing details about the dashboard:<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"178\" height=\"442\" src=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-5.png\" alt=\"\" class=\"wp-image-2158\" srcset=\"https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-5.png 178w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-5-121x300.png 121w, https:\/\/visual-detroit.com\/wp\/wp-content\/uploads\/2026\/03\/image-5-40x100.png 40w\" sizes=\"auto, (max-width: 178px) 100vw, 178px\" \/><figcaption class=\"wp-element-caption\">Dashboard overview<\/figcaption><\/figure>\n<\/div>\n\n\n<div style=\"height:39px\" aria-hidden=\"true\" class=\"wp-block-spacer\"><\/div>\n\n\n\n<p>That wraps it up &#8211; here&#8217;s the dashboard link once more: <a href=\"https:\/\/public.tableau.com\/views\/DetroitFireIncidents2017-2025\/Dashboard1?:language=en-US&amp;publish=yes&amp;:sid=&amp;:redirect=auth&amp;:display_count=n&amp;:origin=viz_share_link\">Detroit Fire Incidents Dashboard<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>I&#8217;ve just published a Detroit Fire Incidents Dashboard on Tableau Public, covering all calls between 2017 and 2025. The Detroit Open Data Portal is our data source. Here&#8217;s a screenshot<a href=\"https:\/\/visual-detroit.com\/wp\/detroit-fire-incidents-dashboard\/\" class=\"more-link\"><span class=\"more-button\">Continue reading<span class=\"screen-reader-text\">Detroit Fire Incidents Dashboard<\/span><\/span><\/a><\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[5],"tags":[57,59,20,27],"class_list":["post-2151","post","type-post","status-publish","format-standard","hentry","category-detroit","tag-data-visualization","tag-fire-incident","tag-open-data-portal","tag-tableau"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Detroit Fire Incidents Dashboard - Visual-Detroit<\/title>\n<meta name=\"description\" content=\"Nine years of Detroit fire incident data are brought to life in the Detroit Fire Incidents dashboard on Tableau Public.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/visual-detroit.com\/wp\/detroit-fire-incidents-dashboard\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Detroit Fire Incidents Dashboard - 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