{"id":5835,"date":"2017-04-21T22:32:28","date_gmt":"2017-04-22T03:32:28","guid":{"rendered":"https:\/\/rud.is\/b\/?p=5835"},"modified":"2018-03-07T17:19:33","modified_gmt":"2018-03-07T22:19:33","slug":"shuttering-pies-with-retiring-stores","status":"publish","type":"post","link":"https:\/\/rud.is\/b\/2017\/04\/21\/shuttering-pies-with-retiring-stores\/","title":{"rendered":"Shuttering Pies With Retiring Stores"},"content":{"rendered":"<p>I caught this &#8220;gem&#8221; <a href=\"https:\/\/www.wsj.com\/articles\/brick-and-mortar-stores-are-shuttering-at-a-record-pace-1492818818\">in the Wall Street Journal<\/a> tonight:<\/p>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"5836\" data-permalink=\"https:\/\/rud.is\/b\/2017\/04\/21\/shuttering-pies-with-retiring-stores\/brick-and-mortar_stores_are_shuttering_at_a_record_pace_-_wsj\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/Brick-and-Mortar_Stores_Are_Shuttering_at_a_Record_Pace_-_WSJ.png?fit=1946%2C636&amp;ssl=1\" data-orig-size=\"1946,636\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"Brick-and-Mortar_Stores_Are_Shuttering_at_a_Record_Pace_-_WSJ\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/Brick-and-Mortar_Stores_Are_Shuttering_at_a_Record_Pace_-_WSJ.png?fit=510%2C167&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/Brick-and-Mortar_Stores_Are_Shuttering_at_a_Record_Pace_-_WSJ.png?resize=510%2C167&#038;ssl=1\" alt=\"\" width=\"510\" height=\"167\" class=\"aligncenter size-full wp-image-5836\" \/><\/p>\n<p>It&#8217;s pretty hard to compare store-to-store, even though it is fairly clear which ones are going-going-gone. If we want to see the relative percentage of each store closing and also want to see how they stack up against each other, then let&#8217;s make a column of 100% bars and label total stores in each:<\/p>\n<pre id=\"going-gone-01\"><code class=\"language-r\">library(hrbrthemes)\r\nlibrary(tidyverse)\r\n\r\nread.table(text=&#039;store,closing,total\r\n&quot;Radio Shack&quot;,550,1500\r\n&quot;Payless&quot;,400,2600\r\n&quot;Rue21&quot;,400,1100\r\n&quot;The Limited&quot;,250,250\r\n&quot;bebe&quot;,180,180\r\n&quot;Wet Seal&quot;,170,170\r\n&quot;Crocs&quot;,160,560\r\n&quot;JCPenny&quot;,138,1000\r\n&quot;American Apparel&quot;,110,110\r\n&quot;Kmart&quot;,109,735\r\n&quot;hhgregg&quot;,88,220\r\n&quot;Sears&quot;,41,695&#039;, sep=&quot;,&quot;, header=TRUE, stringsAsFactors=FALSE) %&gt;% \r\n  as_tibble() %&gt;% \r\n  mutate(remaining = total - closing,\r\n         gone = round((closing\/total) * 100)\/100,\r\n         stay = 1-gone,\r\n         rem_lab = ifelse(remaining == 0, &quot;&quot;, scales::comma(remaining))) %&gt;% \r\n  arrange(desc(stay)) %&gt;% \r\n  mutate(store=factor(store, levels=store)) -&gt; closing_df\r\n\r\nupdate_geom_font_defaults(font_rc)\r\n\r\nggplot(closing_df) +\r\n  geom_segment(aes(0, store, xend=gone, yend=store, color=&quot;Closing&quot;), size=8) +\r\n  geom_segment(aes(gone, store, xend=gone+stay, yend=store, color=&quot;Remaining&quot;), size=8) +\r\n  geom_text(aes(x=0, y=store, label=closing), color=&quot;white&quot;, hjust=0, nudge_x=0.01) +\r\n  geom_text(aes(x=1, y=store, label=rem_lab), color=&quot;white&quot;, hjust=1, nudge_x=-0.01) +\r\n  scale_x_percent() +\r\n  scale_color_ipsum(name=NULL) +\r\n  labs(x=NULL, y=NULL, \r\n       title=&quot;Selected 2017 Store closings (estimated)&quot;,\r\n       subtitle=&quot;Smaller specialty chains such as Bebe and American Apparel are closing their stores,\\nwhile lareger chains such as J.C. Penny and Sears are scaling back their footprint.&quot;) +\r\n  theme_ipsum_rc(grid=&quot;X&quot;) +\r\n  theme(axis.text.x=element_text(hjust=c(0, 0.5, 0.5, 0.5, 1))) +\r\n  theme(legend.position=c(0.875, 1.025)) +\r\n  theme(legend.direction=&quot;horizontal&quot;)<\/code><\/pre>\n<p><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" data-attachment-id=\"5837\" data-permalink=\"https:\/\/rud.is\/b\/2017\/04\/21\/shuttering-pies-with-retiring-stores\/rstudio-19\/\" data-orig-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/RStudio.png?fit=1780%2C1120&amp;ssl=1\" data-orig-size=\"1780,1120\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"RStudio\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/RStudio.png?fit=510%2C321&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/rud.is\/b\/wp-content\/uploads\/2017\/04\/RStudio.png?resize=510%2C321&#038;ssl=1\" alt=\"\" width=\"510\" height=\"321\" class=\"aligncenter size-full wp-image-5837\" \/><\/p>\n<p>One might try circle packing or a treemap to show both relative store count and percentage, but I think the bigger story is the percent reduction for each retail chain. It&#8217;d be cool to see what others come up with.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>I caught this &#8220;gem&#8221; in the Wall Street Journal tonight: It&#8217;s pretty hard to compare store-to-store, even though it is fairly clear which ones are going-going-gone. If we want to see the relative percentage of each store closing and also want to see how they stack up against each other, then let&#8217;s make a column [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":5837,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"jetpack_post_was_ever_published":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"activitypub_content_warning":"","activitypub_content_visibility":"","activitypub_max_image_attachments":3,"activitypub_interaction_policy_quote":"anyone","activitypub_status":"","footnotes":""},"categories":[24,678,673,674,753,91],"tags":[810],"class_list":["post-5835","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-charts-graphs","category-data-visualization","category-datavis-2","category-dataviz","category-ggplot","category-r","tag-post"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.3 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Shuttering Pies With Retiring Stores - rud.is<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/rud.is\/b\/2017\/04\/21\/shuttering-pies-with-retiring-stores\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Shuttering Pies With Retiring Stores - rud.is\" \/>\n<meta property=\"og:description\" content=\"I caught this &#8220;gem&#8221; in the Wall Street Journal tonight: It&#8217;s pretty hard to compare store-to-store, even though it is fairly clear which ones are going-going-gone. 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