Donut chart shows relationship of parts to a whole but it is important to think if it makes any sense. Just because it looks cool, most of the times it doesn\u2019t tell you much. It depends upon what you want to convey. For example, if it is related to gender ratio or performance of one entity overall, then donut chart will be the best fit. But if you have many entities to display then it may become chaotic.<\/p>\n
Image-Source: http:\/\/payload.cargocollective.com\/1\/2\/73104\/1481815\/Pie-Labeled.jpg<\/a><\/p>\n The above donut chart displays food consumed in 2010. It is eye-catching, labeled properly with different colors. I would like to comment over some of the issues with this donut chart.<\/p>\n It is possible to transform this messy donut chart into meaningful graph. Simple bar chart will be the better alternative in this case. User can easily identify items and compare the values. No need of color palettes in this case. Bars are easily distinguishable. For the lower values, you can combine them together in one item as \u2018other\u2019. If you want to use color palettes, then you can even make categories as \u2018Fast-food\u2019, \u2018Veggies\u2019, \u2018Meat\u2019.<\/p>\n While creating a visualization, we should find to make something that looks cool but does not sacrifice a bit of analytical clarity!<\/p>\n Source:<\/p>\n http:\/\/payload.cargocollective.com\/1\/2\/73104\/1481815\/Pie-Labeled.jpg<\/a><\/p>\n http:\/\/www.datarevelations.com\/with-great-power-comes-great-responsibility-or-think-before-you-use-a-donut-chart.html<\/a><\/p>\n <\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":" Donut chart shows relationship of parts to a whole but it is important to think if it makes any sense. Just because it looks cool, most of the times it doesn\u2019t tell you much. It depends upon what you want to convey. For example, if it is related to gender ratio or performance of one … Continue reading Should I use Donut chart?<\/span><\/a><\/p>\n","protected":false},"author":1854,"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-1058","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"gutentor_comment":4,"qubely_featured_image_url":null,"qubely_author":{"display_name":"vinamrata","author_link":"https:\/\/blogs.scu.edu\/dataviz\/author\/vinamrata\/"},"qubely_comment":4,"qubely_category":"Uncategorized<\/a>","qubely_excerpt":"Donut chart shows relationship of parts to a whole but it is important to think if it makes any sense. Just because it looks cool, most of the times it doesn\u2019t tell you much. It depends upon what you want to convey. For example, if it is related to gender ratio or performance of one…","post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/1058","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\/1854"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/comments?post=1058"}],"version-history":[{"count":1,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/1058\/revisions"}],"predecessor-version":[{"id":1059,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/1058\/revisions\/1059"}],"wp:attachment":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/media?parent=1058"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/categories?post=1058"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/tags?post=1058"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}\n
![http:\/\/payload.cargocollective.com\/1\/2\/73104\/1481815\/Pie-Labeled.jpg<\/a><\/p>\nThe above donut chart displays food consumed in 2010. It is eye-catching, labeled properly with different colors. I would like to comment over some of the issues with this donut chart.<\/p>\n\nWhen you look at each food product you can get its percentage contribution. But it is hard to compare them with each other. You cannot identify minute differences. The contribution of Veggies and Pasta looks similar but there is difference of ~3%. This can mislead the results. While comparing, user has to remember the values for each item causing inconvenience.<\/li>\nUse of different colors is confusing the user especially for color-blinds. It is hard to distinguish Soup, Salad, Fries and Sushi. They all look same.<\/li>\nLower values are not visible at all (Salad, Sushi).<\/li>\n<\/ul>\nIt is possible to transform this messy donut chart into meaningful graph. Simple bar chart will be the better alternative in this case. User can easily identify items and compare the values. No need of color palettes in this case. Bars are easily distinguishable. For the lower values, you can combine them together in one item as \u2018other\u2019. If you want to use color palettes, then you can even make categories as \u2018Fast-food\u2019, \u2018Veggies\u2019, \u2018Meat\u2019.<\/p>\nWhile creating a visualization, we should find to make something that looks cool but does not sacrifice a bit of analytical clarity!<\/p>\nSource:<\/p>\nhttp:\/\/payload.cargocollective.com\/1\/2\/73104\/1481815\/Pie-Labeled.jpg<\/a><\/p>\nhttp:\/\/www.datarevelations.com\/with-great-power-comes-great-responsibility-or-think-before-you-use-a-donut-chart.html<\/a><\/p>\n <\/p>\n <\/p>\n","protected":false},"excerpt":{"rendered":"Donut chart shows relationship of parts to a whole but it is important to think if it makes any sense. Just because it looks cool, most of the times it doesn\u2019t tell you much. It depends upon what you want to convey. For example, if it is related to gender ratio or performance of one … Continue reading Should I use Donut chart?<\/span><\/a><\/p>\n","protected":false},"author":1854,"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-1058","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"gutentor_comment":4,"qubely_featured_image_url":null,"qubely_author":{"display_name":"vinamrata","author_link":"https:\/\/blogs.scu.edu\/dataviz\/author\/vinamrata\/"},"qubely_comment":4,"qubely_category":"Uncategorized<\/a>","qubely_excerpt":"Donut chart shows relationship of parts to a whole but it is important to think if it makes any sense. Just because it looks cool, most of the times it doesn\u2019t tell you much. It depends upon what you want to convey. For example, if it is related to gender ratio or performance of one…","post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/1058","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\/1854"}],"replies":[{"embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/comments?post=1058"}],"version-history":[{"count":1,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/1058\/revisions"}],"predecessor-version":[{"id":1059,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/posts\/1058\/revisions\/1059"}],"wp:attachment":[{"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/media?parent=1058"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/categories?post=1058"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/blogs.scu.edu\/dataviz\/wp-json\/wp\/v2\/tags?post=1058"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}](\"http:\/\/payload.cargocollective.com\/1\/2\/73104\/1481815\/Pie-Labeled.jpg\"){kind=link}