{"id":20843,"date":"2022-08-25T08:00:35","date_gmt":"2022-08-25T02:30:35","guid":{"rendered":"https:\/\/www.fusioncharts.com\/blog\/?p=20843"},"modified":"2026-01-20T14:41:45","modified_gmt":"2026-01-20T09:11:45","slug":"a-fresh-look-at-stacked-bar-charts-the-worst-or-the-best","status":"publish","type":"post","link":"https:\/\/www.fusioncharts.com\/blog\/a-fresh-look-at-stacked-bar-charts-the-worst-or-the-best\/","title":{"rendered":"A Fresh Look at Stacked Bar Charts: The Worst or the Best 2026?"},"content":{"rendered":"<p><span data-preserver-spaces=\"true\">In a fast-paced economy, gaining actionable insights from business data is a prerequisite for survival. Consequently, data visualization tools (charts, graphs, and maps) are becoming rampant. With so many tools to choose from, identifying what\u2019s best for interpreting and representing your data can get overwhelming. Every chart type has specific use cases.<\/span><\/p>\r\n<p>For example, a stacked <span data-preserver-spaces=\"true\">bar chart<\/span><span data-preserver-spaces=\"true\">\u00a0is great for comparing numeric values between levels of a categorical variable. However, if you apply the wrong chart type to your data, you risk confusing your users or leading them to make bad decisions.<\/span>\r\n\r\n<span data-preserver-spaces=\"true\">This article discusses the stacked <a href=\"https:\/\/www.fusioncharts.com\/charts\/column-bar-charts\/\" target=\"_blank\" rel=\"noopener\">bar chart,<\/a> as there\u2019s a lot of debate regarding its viability.\u00a0<\/span><\/p>\r\n<div id=\"ez-toc-container\" class=\"ez-toc-v2_0_71 counter-hierarchy ez-toc-counter ez-toc-grey ez-toc-container-direction\">\n<div class=\"ez-toc-title-container\"><p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<\/div><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/www.fusioncharts.com\/blog\/a-fresh-look-at-stacked-bar-charts-the-worst-or-the-best\/#Are_Stacked_Bar_Charts_The_Worst\" title=\"Are Stacked Bar Charts The Worst?\">Are Stacked Bar Charts The Worst?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/www.fusioncharts.com\/blog\/a-fresh-look-at-stacked-bar-charts-the-worst-or-the-best\/#When_Should_You_Use_A_Stacked_Bar_Chart\" title=\"When Should You Use A Stacked Bar Chart?\">When Should You Use A Stacked Bar Chart?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/www.fusioncharts.com\/blog\/a-fresh-look-at-stacked-bar-charts-the-worst-or-the-best\/#How_To_Create_A_Stacked_Bar_Chart\" title=\"How To Create A Stacked Bar Chart?\">How To Create A Stacked Bar Chart?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/www.fusioncharts.com\/blog\/a-fresh-look-at-stacked-bar-charts-the-worst-or-the-best\/#What_Chart_Types_Are_The_Best\" title=\"What Chart Types Are The Best?\">What Chart Types Are The Best?<\/a><\/li><\/ul><\/nav><\/div>\n<h2><span class=\"ez-toc-section\" id=\"Are_Stacked_Bar_Charts_The_Worst\"><\/span><span data-preserver-spaces=\"true\">Are Stacked Bar Charts The Worst?<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\r\n<p><span data-preserver-spaces=\"true\">Robert Kosera, in his article, Stacked Bar Charts Are The Worse [1],<\/span>\r\n<\/p><p><span data-preserver-spaces=\"true\">\u201cStacked bar charts are deceiving because we think they work just like regular bars when they\u2019re really pretty terrible.\u201d<\/span><\/p>\r\n\r\n<span data-preserver-spaces=\"true\">Robert Kosera, 2016<\/span>\r\n\r\n<span data-preserver-spaces=\"true\">Deceiving? And terrible? Tell that to the numerous real-world stacked bar chart use cases.\u00a0<\/span>\r\n\r\n<p><span data-preserver-spaces=\"true\">It\u2019s fair to say that Mr. Kosera\u2019s assessment of this chart type was harsh. Nevertheless, you must be certain about a chart type\u2019s real purpose before applying it to your data. Stacked bar charts are great for comparing total values per series. At the same time, you can easily identify which variable in the series is responsible for making a total bigger or smaller.\u00a0<\/span><\/p>\r\n\r\n<span data-preserver-spaces=\"true\">However, he also came to that conclusion because he believes people use stacked bar charts like\u00a0<\/span><a class=\"editor-rtfLink\" href=\"https:\/\/www.fusioncharts.com\/blog\/a-step-by-step-guide-to-charts\/\" target=\"_blank\" rel=\"noopener\"><span data-preserver-spaces=\"true\">regular bar charts<\/span><\/a><span data-preserver-spaces=\"true\">. In this case, we agree with Mr. Kosera. Regular bar charts are great for comparing series magnitude. And that\u2019s not where a stacked bar chart would thrive. In fact, using a stacked bar chart in such scenarios would defeat the purpose of data visualization. So, where do stacked bar charts thrive? Let\u2019s find out!!<\/span>\r\n<h2><span class=\"ez-toc-section\" id=\"When_Should_You_Use_A_Stacked_Bar_Chart\"><\/span><span data-preserver-spaces=\"true\">When Should You Use A Stacked Bar Chart?<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\r\n<span data-preserver-spaces=\"true\">To understand where stacked bar charts are the best, let\u2019s take a step back to analyze regular bar charts. Generally, bar charts suit use cases that require comparing individual data points. Here&#8217;s an example:<\/span>\r\n\r\n<img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-20872 size-full\" src=\"https:\/\/www.fusioncharts.com\/blog\/wp-content\/uploads\/2022\/08\/74C34E43-1462-4E3F-B33F-8770BA4D28BB-e1660636218967.jpeg\" alt=\"A multi series bar chart\" width=\"792\" height=\"521\" srcset=\"\/blog\/wp-content\/uploads\/2022\/08\/74C34E43-1462-4E3F-B33F-8770BA4D28BB-e1660636218967.jpeg 792w, \/blog\/wp-content\/uploads\/2022\/08\/74C34E43-1462-4E3F-B33F-8770BA4D28BB-e1660636218967-300x197.jpeg 300w, \/blog\/wp-content\/uploads\/2022\/08\/74C34E43-1462-4E3F-B33F-8770BA4D28BB-e1660636218967-768x505.jpeg 768w\" sizes=\"auto, (max-width: 792px) 100vw, 792px\" \/>\r\n\r\n<p><span data-preserver-spaces=\"true\">The bar chart above compares the performance of two product categories (food products and non-food products) across 5 stores \u2014 Bakersfield Central, Garden Grove Harbour, Los Angeles Topanga, Compton-Rancho Dom, and Daly City Serramonte. This type of visualization is especially useful, where the goal is to infer which store is best for each product. In this case, we need to compare individual values (products) against each other within a category.\u00a0<\/span>\r\n\r\n<span data-preserver-spaces=\"true\">We can infer the following answers from the above chart.\u00a0<\/span>\r\n<ul>\r\n \t<li><span data-preserver-spaces=\"true\">Non-food products produce the highest sales in Garden Grove Harbour, and the worst sales in Daly City Serramonte.\u00a0<\/span><\/li>\r\n \t<li><span data-preserver-spaces=\"true\">Food products also have the highest sales in Garden Grove Harbour, and the worst in Los Angeles Topanga.\u00a0<\/span><\/li>\r\n<\/ul>\r\n<span data-preserver-spaces=\"true\">With this example, we can also infer the biggest and lowest sales within each store, if that\u2019s our goal.<\/span>\r\n\r\n<span data-preserver-spaces=\"true\">But, what if we our goal is to compare the total sales in each store? Regardless of individual product performance, which store produced the highest sales? To answer this question, a single series bar chart will suffice.<\/span><\/p>\r\n\r\n<img loading=\"lazy\" decoding=\"async\" class=\"aligncenter wp-image-20873 size-full\" src=\"https:\/\/www.fusioncharts.com\/blog\/wp-content\/uploads\/2022\/08\/219CB1A0-1B60-4BBC-AEFE-88D759CD98F9.jpeg\" alt=\"A single series bar chart\" width=\"479\" height=\"408\" srcset=\"\/blog\/wp-content\/uploads\/2022\/08\/219CB1A0-1B60-4BBC-AEFE-88D759CD98F9.jpeg 479w, \/blog\/wp-content\/uploads\/2022\/08\/219CB1A0-1B60-4BBC-AEFE-88D759CD98F9-300x256.jpeg 300w\" sizes=\"auto, (max-width: 479px) 100vw, 479px\" \/>\r\n\r\n<p><span data-preserver-spaces=\"true\">From the example above, we can clearly see that Garden Grove Harbour is the most successful store. But these are just surface readings. What if we could go deeper to understand the relationship between each store? In other words, what products are responsible for a low or high sales store? While it&#8217;s possible to infer the answer to this question using the combination of the examples above, it isn\u2019t practical and can lead to inaccurate results.<\/span><\/p>\r\nIn fact, it is one of the <a class=\"editor-rtfLink\" href=\"https:\/\/www.fusioncharts.com\/blog\/the-most-common-mistakes-people-make-with-charts\/\" target=\"_blank\" rel=\"noopener\"><span data-preserver-spaces=\"true\">most common charting mistakes<\/span><\/a>\u00a0<span data-preserver-spaces=\"true\">\u2014 using multiple charts instead of a single chart for a holistic view.\u00a0<\/span>\r\n\r\n<span data-preserver-spaces=\"true\">What\u2019s accurate, however, is plotting the total sales and individual product sales on a single platform. A stacked bar chart can play a key role here.<\/span>\r\n\r\n<span style=\"font-weight: 400\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-20874 size-full\" src=\"https:\/\/www.fusioncharts.com\/blog\/wp-content\/uploads\/2022\/08\/4BCEA2CF-D582-4630-B982-1AAADCBD6360.jpeg\" alt=\"A stacked bar chart\" width=\"798\" height=\"465\" srcset=\"\/blog\/wp-content\/uploads\/2022\/08\/4BCEA2CF-D582-4630-B982-1AAADCBD6360.jpeg 798w, \/blog\/wp-content\/uploads\/2022\/08\/4BCEA2CF-D582-4630-B982-1AAADCBD6360-300x175.jpeg 300w, \/blog\/wp-content\/uploads\/2022\/08\/4BCEA2CF-D582-4630-B982-1AAADCBD6360-768x448.jpeg 768w\" sizes=\"auto, (max-width: 798px) 100vw, 798px\" \/>\r\n<\/span>\r\n\r\n<span data-preserver-spaces=\"true\">A stacked bar chart enables the simultaneous comparison of totals and the item level relationship directly influencing the totals.\u00a0<\/span>\r\n<h2><span class=\"ez-toc-section\" id=\"How_To_Create_A_Stacked_Bar_Chart\"><\/span><span data-preserver-spaces=\"true\">How To Create A Stacked Bar Chart?<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\r\n<p><span data-preserver-spaces=\"true\">The first step to creating a stacked bar chart is choosing the right charting library. However, there are numerous chart libraries out there, and selecting the best fit for your project can get overwhelming. That said, we\u2019ve done the hard work for you \u2014 comparing the top chart libraries in the market. And, <a href=\"https:\/\/www.fusioncharts.com\/\" target=\"_blank\" rel=\"noopener\">FusionCharts<\/a> comes out on top. In this case, we\u2019ll use FusionCharts as the case study for this example.\u00a0<\/span><\/p>\r\n\r\n<span data-preserver-spaces=\"true\">Below\u2019s an example of how you create a stacked bar chart above using FusionCharts.\r\n<\/span>\r\n\r\n<span data-preserver-spaces=\"true\">We\u2019ll plot the quarterly revenue for an imaginary company\u2019s product category \u2014 food and non-food products. Each product category will have distinct colors for easy interpretation. FusionCharts offers both 2D and 3D stacked bar charts. Here\u2019s how to create our example in 2D:<\/span>\r\n<ol>\r\n \t<li><span data-preserver-spaces=\"true\">In the JSON data, set the attributes and their corresponding values in &#8220;&lt;attributeName&gt;&#8221;: &#8220;&lt;value&gt;&#8221; format.<\/span><\/li>\r\n \t<li><span data-preserver-spaces=\"true\">Specify the chart type using the type attribute. To render a stacked bar 2D chart, set stackedbar2d.<\/span><\/li>\r\n \t<li><span data-preserver-spaces=\"true\">Set the container object using renderAt attribute.<\/span><\/li>\r\n \t<li><span data-preserver-spaces=\"true\">Specify the dimension of the chart using width and height attributes.<\/span><\/li>\r\n \t<li><span data-preserver-spaces=\"true\">Set the type of data (JSON\/XML) you want to pass to the chart object using dataFormat attribute.<\/span><\/li>\r\n<\/ol>\r\n<span data-preserver-spaces=\"true\">The above steps will produce the chart below:<\/span>\r\n\r\n<span data-preserver-spaces=\"true\">Here\u2019s the code:<\/span>\r\n<pre class=\"lang:json\">{\r\n\u00a0 \u00a0\u00a0\"chart\": {\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0\"theme\": \"fusion\",\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0\"caption\": \"Revenue split by product category\",\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0\"subCaption\": \"For current year\",\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0\"xAxisname\": \"Quarter\",\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0\"yAxisName\": \"Revenues (In USD)\",\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0\"showSum\": \"1\",\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0\"numberPrefix\": \"$\"\r\n\u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0\u00a0\"categories\": [\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"category\": [\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"label\": \"Q1\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"label\": \"Q2\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"label\": \"Q3\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"label\": \"Q4\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0}\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0]\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0}\r\n\u00a0 \u00a0\u00a0],\r\n\u00a0 \u00a0\u00a0\"dataset\": [\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"seriesname\": \"Food Products\",\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"data\": [\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"value\": \"11000\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"value\": \"15000\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"value\": \"13500\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"value\": \"15000\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0}\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0]\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"seriesname\": \"Non-Food Products\",\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"data\": [\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"value\": \"11400\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"value\": \"14800\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"value\": \"8300\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0},\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0{\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0\"value\": \"11800\"\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0}\r\n\u00a0 \u00a0 \u00a0 \u00a0 \u00a0 \u00a0\u00a0]\r\n\u00a0 \u00a0 \u00a0 \u00a0\u00a0}\r\n\u00a0 \u00a0\u00a0]\r\n}<\/pre>\r\n<h2><span class=\"ez-toc-section\" id=\"What_Chart_Types_Are_The_Best\"><\/span><span data-preserver-spaces=\"true\">What Chart Types Are The Best?<\/span><span class=\"ez-toc-section-end\"><\/span><\/h2>\r\n<span data-preserver-spaces=\"true\">Depending on the purpose of your data visualization,\u00a0<\/span><a class=\"editor-rtfLink\" href=\"https:\/\/www.fusioncharts.com\/blog\/bar-charts-or-column-charts\/\" target=\"_blank\" rel=\"noopener\"><span data-preserver-spaces=\"true\">a stacked bar chart can be the best<\/span><\/a><span data-preserver-spaces=\"true\">. So, the real question should be\u2014 \u201cwhat are your goals?&#8221; If you intend to compare categories to determine the relationship between each item across all categories, then a stacked bar chart is the best.\u00a0<\/span>\r\n\r\n<span data-preserver-spaces=\"true\">FusionCharts offers different stacked chart types. You can find out which suits your project <\/span><a class=\"editor-rtfLink\" href=\"https:\/\/www.fusioncharts.com\/dev\/chart-guide\/standard-charts\/stacked-charts\" target=\"_blank\" rel=\"noopener\"><span data-preserver-spaces=\"true\">here<\/span><\/a><span data-preserver-spaces=\"true\">.<\/span>\r\n\r\n<p><a href=\"https:\/\/www.fusioncharts.com\/download\/fusioncharts-suite-xt?framework=js\" target=\"_blank\" rel=\"noopener\">Click here to start your free trial with FusionCharts today.<\/a><\/p>\r\n\r\n<p><strong><span data-preserver-spaces=\"true\">References<\/span><\/strong> <span data-preserver-spaces=\"true\">[1] https:\/\/eagereyes.org\/techniques\/stacked-bars-are-the-worst<\/span><\/p>","protected":false},"excerpt":{"rendered":"<p>In a fast-paced economy, gaining actionable insights from business data is a prerequisite for survival. Consequently, data visualization tools (charts, graphs, and maps) are becoming rampant. With so many tools to choose from, identifying what\u2019s best for interpreting and representing your data can get overwhelming. Every chart type has specific use cases. For example, a [&hellip;]<\/p>\n","protected":false},"author":81,"featured_media":20851,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[17,722],"tags":[41,554,105,152,1115],"coauthors":[1093],"class_list":["post-20843","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-charting-guidelines","category-fusioncharts","tag-bar-chart","tag-charting","tag-data-visualization","tag-fusioncharts","tag-stacked-bar-chart"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v24.1 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>A Fresh Look at Stacked Bar Charts: The Worst or the Best 2026?<\/title>\n<meta name=\"description\" content=\"Revamp your stacked bar charts with fresh 2026 ideas. Discover practical tips for improving data clarity and visual presentation. Create better plots now.\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.fusioncharts.com\/blog\/a-fresh-look-at-stacked-bar-charts-the-worst-or-the-best\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"A Fresh Look at Stacked Bar Charts: The Worst or the Best 2026?\" \/>\n<meta property=\"og:description\" content=\"Revamp your stacked bar charts with fresh 2026 ideas. Discover practical tips for improving data clarity and visual presentation. 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