{"id":986,"date":"2017-02-24T00:39:04","date_gmt":"2017-02-24T00:39:04","guid":{"rendered":"https:\/\/blogs.scu.edu\/dataviz\/?p=986"},"modified":"2017-02-24T00:41:37","modified_gmt":"2017-02-24T00:41:37","slug":"tableau-show-me-tab-to-use-or-not-to-use","status":"publish","type":"post","link":"https:\/\/blogs.scu.edu\/dataviz\/2017\/02\/24\/tableau-show-me-tab-to-use-or-not-to-use\/","title":{"rendered":"Tableau \u2018Show Me\u2019 tab &#8211; to use or not to use?"},"content":{"rendered":"<p><span style=\"font-weight: 400\">We all struggle to present the data in the most impressive visualization in Tableau. Most of the times, the \u2018<\/span><i><span style=\"font-weight: 400\">Show Me<\/span><\/i><span style=\"font-weight: 400\">\u2019\u00a0menu comes to our rescue. One of the most common mistakes in designing graphs is choosing the wrong graph type from this menu. Below are its possible issues:<\/span><\/p>\n<ul>\n<li>Upon selecting the parameters when you\u00a0click on &#8216;Show Me&#8217;, it stops you from thinking out of the box and limits your creativity.<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Few very useful chart types are never displayed. Chances are that once you select the measures and dimensions; the tab gives you a bunch of options and neither fits the claim.<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Sometimes, it portrays chart types that should never be used. For instance, for creating the visualization of the market share, it shows the options of pie chart, which might display a complete misleading claim that the you want to tell.<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">This can be substantiated by looking at the following visualization:<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-987\" src=\"https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/audience-pies-300x214.jpg\" alt=\"audience-pies\" width=\"466\" height=\"332\" srcset=\"https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/audience-pies-300x214.jpg 300w, https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/audience-pies-768x549.jpg 768w, https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/audience-pies.jpg 960w\" sizes=\"auto, (max-width: 466px) 100vw, 466px\" \/><\/p>\n<p><span style=\"font-weight: 400\">Issues with this visualization:<\/span><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It has perceptual problems as no labeling of the shares is done<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Very difficult to make comparisons for the same age across multiple brands<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">Results are conveyed but cluttered with long text<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It uses multiple pie charts<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">How this graph is improved:<\/span><\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-988\" src=\"https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/brands1-300x107.jpg\" alt=\"brands1\" width=\"597\" height=\"213\" srcset=\"https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/brands1-300x107.jpg 300w, https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/brands1-768x274.jpg 768w, https:\/\/blogs.scu.edu\/dataviz\/files\/2017\/02\/brands1.jpg 960w\" sizes=\"auto, (max-width: 597px) 100vw, 597px\" \/><\/p>\n<ul>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">It facilitates age comparisons much better than the multiple pie charts and enables the audience to see the age distribution of each brand<\/span><\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The color scheme is subtle yet powerful. The color intensity increases with increasing age, so one need not refer to the legend at every brand<\/span><\/li>\n<li style=\"font-weight: 400\">The legend and labeling is clearly shown with age groups<\/li>\n<li style=\"font-weight: 400\"><span style=\"font-weight: 400\">The intended message to be sent across to the audience is displayed clearly<\/span><\/li>\n<\/ul>\n<p><span style=\"font-weight: 400\">One needs to think of the best way to put across the claim of the visualization without limiting to the existing charts.\u00a0<\/span><\/p>\n<p><span style=\"font-weight: 400\">Reference:<\/span><a href=\"https:\/\/www.forbes.com\/sites\/naomirobbins\/2011\/11\/29\/thinking-outside-the-chart-menu\/#1b4d7b59171a\"><span style=\"font-weight: 400\">https:\/\/www.forbes.com\/sites\/naomirobbins\/2011\/11\/29\/thinking-outside-the-chart-menu\/#1b4d7b59171a<\/span><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>We all struggle to present the data in the most impressive visualization in Tableau. Most of the times, the \u2018Show Me\u2019\u00a0menu comes to our rescue. One of the most common mistakes in designing graphs is choosing the wrong graph type from this menu. Below are its possible issues: Upon selecting the parameters when you\u00a0click on &hellip; <a href=\"https:\/\/blogs.scu.edu\/dataviz\/2017\/02\/24\/tableau-show-me-tab-to-use-or-not-to-use\/\" class=\"more-link\">Continue reading <span class=\"screen-reader-text\">Tableau \u2018Show Me\u2019 tab &#8211; to use or not to use?<\/span><\/a><\/p>\n","protected":false},"author":1845,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"qubely_global_settings":"","qubely_interactions":"","kk_blocks_editor_width":"","_kiokenblocks_attr":"","_kiokenblocks_dimensions":"","footnotes":""},"categories":[1],"tags":[],"class_list":["post-986","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"gutentor_comment":0,"qubely_featured_image_url":null,"qubely_author":{"display_name":"malyajain","author_link":"https:\/\/blogs.scu.edu\/dataviz\/author\/malyajain\/"},"qubely_comment":0,"qubely_category":"<a href=\"https:\/\/blogs.scu.edu\/dataviz\/category\/uncategorized\/\" rel=\"category tag\">Uncategorized<\/a>","qubely_excerpt":"We all struggle to present the data in the most impressive visualization in Tableau. Most of the times, the \u2018Show Me\u2019\u00a0menu comes to our rescue. One of the most common mistakes in designing graphs is choosing the wrong graph type from this menu. Below are its possible issues: Upon selecting the parameters when you\u00a0click on&hellip;","post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/986","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/users\/1845"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/comments?post=986"}],"version-history":[{"count":3,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/986\/revisions"}],"predecessor-version":[{"id":991,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/986\/revisions\/991"}],"wp:attachment":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/media?parent=986"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/categories?post=986"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/tags?post=986"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}