{"id":3211,"date":"2017-05-04T12:15:39","date_gmt":"2017-05-04T12:15:39","guid":{"rendered":"https:\/\/www.anychart.com\/blog\/?p=3211"},"modified":"2018-11-15T12:34:08","modified_gmt":"2018-11-15T12:34:08","slug":"data-distribution-chart-types","status":"publish","type":"post","link":"https:\/\/www.anychart.com\/blog\/2017\/05\/04\/data-distribution-chart-types\/","title":{"rendered":"Choose Right Chart Type for Data Visualization. Part 4: Data Distribution"},"content":{"rendered":"<p><img decoding=\"async\" class=\"alignnone size-full wp-image-3342\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-data-distribution-visualization.png\" alt=\"Chart types for data distribution visualization\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-data-distribution-visualization.png 1200w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-data-distribution-visualization-300x170.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-data-distribution-visualization-768x435.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-data-distribution-visualization-1024x579.png 1024w\" sizes=\"(max-width: 1200px) 100vw, 1200px\" \/>Displaying and researching some <strong>Data Distribution<\/strong> and relationship between data sets instead of studying precise values in each category is a quite common task in data analysis. It can be solved with the help of the chart types that\u00a0we\u00a0are going to identify\u00a0and explain in this article.<\/p>\n<p>Depending on a\u00a0situation \u2013\u00a0the kind of data you have and\u00a0the specific\u00a0questions you&#8217;d like it\u00a0to provide answers to \u2013\u00a0you can pick\u00a0one approach or another. Just be careful when choosing between one chart type and another for the subsequent data distribution analysis. You want the visualization to clarify data, not obscure it or deliver any sort of confusion. Well, simply make sure you understand the following aspects, mind\u00a0all the details of your situation,\u00a0and you will have no problem with visualizing data distribution correctly.<\/p>\n<p><!--more--><\/p>\n<h2>List of Chart Types for Visualizing Distribution of Data<\/h2>\n<p>As a general rule, the types of chart listed right below are used to show how data is\u00a0distributed:<\/p>\n<ul>\n<li><span style=\"font-weight: 400;\">Dot (Scatter) charts;<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Bubble charts;<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Box-and-Whisker charts;<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Error charts;<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Heat Map charts;<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Range charts;<\/span><\/li>\n<li><span style=\"font-weight: 400;\">Polar charts.<\/span><\/li>\n<\/ul>\n<p>Want to learn more and see exactly what chart types from this list better correspond to one or another certain visualization task when it comes to data distribution? The main part of the article is at your disposal then.<\/p>\n<h2>Choosing Charts to Analyze Data Distribution<\/h2>\n<h3>Dot (Scatter) Chart<\/h3>\n<p>To <strong>identify trends in distribution and the correlation between two variables<\/strong>, <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/dot-chart\/\" target=\"_blank\">Dot (Scatter) Charts<\/a> should be your choice. This type of chart provides the ability to show trends, patterns and clusters, and their relationship in both large and small data sets, as well as to visually represent the results of a research.<\/p>\n<p>For example: system interruptions by duration and waiting time.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Scatter_Charts\/Combination_of_Line_and_Marker_Charts.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3263\" title=\"Click to see the interactive version of this Scatter chart (Dot chart)\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-scatter-chart-type.png\" alt=\"Scatter chart (Dot chart) of system interruptions for data distribution visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-scatter-chart-type.png 812w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-scatter-chart-type-300x188.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-scatter-chart-type-768x482.png 768w\" sizes=\"(max-width: 812px) 100vw, 812px\" \/><\/a><\/p>\n<p>Additional examples include: results of a research (e.g. thrust over engines\u2019 weight and power), effectiveness of advertising and sales strategies, etc. Take a look at more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Scatter_Charts\/\" target=\"_blank\">Scatter chart samples in this gallery<\/a>.<\/p>\n<h3>Bubble Chart<\/h3>\n<p>To <strong>engage three dimensions (e.g. x, y, and size) for a more complex distribution-based analysis<\/strong>, there is the <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/bubble-chart\/\" target=\"_blank\">Bubble chart<\/a> type that allows you to diversify size of markers (called bubbles). In this way, not only can you answer the same questions on the distribution trends as with Scatter charts, but you will also be\u00a0able to identify their drivers by finding correlation to another measurement.<\/p>\n<p>So, Bubble charts are helpful when you need to determine the type and tightness of the relation between pairs of corresponding variables, i.e., at the end, to find out the correlation between three to four variables or to reveal common patterns in large data sets.<\/p>\n<p>For example: best sportsmen training data, etc.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Marker_and_Bubble_Charts\/Multi-Series_Bubble_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3262\" title=\"Click to see the interactive version of this Bubble chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-bubble-chart-type.png\" alt=\"Bubble chart of sportsmen training for data distribution visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-bubble-chart-type.png 845w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-bubble-chart-type-300x183.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-bubble-chart-type-768x468.png 768w\" sizes=\"(max-width: 845px) 100vw, 845px\" \/><\/a><\/p>\n<p>Additional examples include: best and worst performing points of sale, volume of deals closed by sales managers relative to their education level and career length, engagement of website visitors relative to gender and referral source, etc. Take a look at more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Marker_and_Bubble_Charts\/\" target=\"_blank\">Bubble chart samples in this gallery<\/a>.<\/p>\n<h3>Box-and-Whisker Chart<\/h3>\n<p><strong>When only median values and key distribution ranges matter<\/strong>, choose\u00a0<a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/box-chart\/\" target=\"_blank\">Box-and-Whisker charts<\/a>. This chart type represents the 2nd and 3rd quartiles of numerical data in the form of a rectangular (&#8220;box&#8221;), divided into two parts by a horizontal line depicting the median value. It uses vertical lines extending from the top and bottom sides of the box to plot the rest of statistical distribution, and dots to specify outliers.<\/p>\n<p>For example: variation of samples from a statistical population.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Box_Charts\/Box_and_Whisker_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3261\" title=\"Click to see the interactive version of this Box-and-Whisker chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-box-and-whisker-chart-type.png\" alt=\"Box-and-Whisker chart of variation of statistical population for data distribution visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-box-and-whisker-chart-type.png 834w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-box-and-whisker-chart-type-300x186.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-box-and-whisker-chart-type-768x477.png 768w\" sizes=\"(max-width: 834px) 100vw, 834px\" \/><\/a><\/p>\n<p>Additional examples include: range of salaries per job family, flight delay time per direction, etc. Take a look at more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Box_Charts\/\" target=\"_blank\">Box chart samples in this gallery<\/a>.<\/p>\n<h3>Error Chart<\/h3>\n<p>To <strong>understand the error distribution of each value<\/strong>, using <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/error-chart\/\" target=\"_blank\">Error charts<\/a>\u00a0often makes sense. As a general rule, these are the bar-like add-ons for the existing type of chart that go especially well with Dot (Scatter) and Bar\/Column charts.<\/p>\n<p>For example: price per item vs. cost per item, average human height by age.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Error_Charts\/Marker_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3259\" title=\"Click to see the interactive version of this Scatter chart with Error bars\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-error-bars-in-dot-scatter-chart-type.png\" alt=\"Scatter chart with Error bars of prices and costs for data distribution visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-error-bars-in-dot-scatter-chart-type.png 876w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-error-bars-in-dot-scatter-chart-type-300x179.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-error-bars-in-dot-scatter-chart-type-768x459.png 768w\" sizes=\"(max-width: 876px) 100vw, 876px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Error_Charts\/Column_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3258\" title=\"Click to see the interactive version of this Column chart with Error bars\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-error-bars-in-column-chart-type.png\" alt=\"Column chart with Error bars of average human height for data distribution visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-error-bars-in-column-chart-type.png 872w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-error-bars-in-column-chart-type-300x181.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-error-bars-in-column-chart-type-768x462.png 768w\" sizes=\"(max-width: 872px) 100vw, 872px\" \/><\/a><\/p>\n<p>Additional examples include: test error analysis, fluctuations in values, etc. Take a look at more of <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Error_Charts\/\" target=\"_blank\">Error chart samples in this gallery<\/a>.<\/p>\n<h3>Heat Map Chart<\/h3>\n<p>In case of <strong>multiple sub-categories in both categories<\/strong>, the <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/heatmap\/\" target=\"_blank\">Heat Map chart<\/a>\u00a0type (also known as Heatmap) can be useful to grasp the distribution (and relationships) trends by presenting data in a matrix with value-specific colors applied to the cells.<\/p>\n<p>For example: body fat percentage.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Heat_Map_Charts\/Body_Fat_Charts.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3257\" title=\"Click to see the interactive version of this Heat Map chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-heat-map-chart-type.png\" alt=\"Heat Map chart of body fat percentage for data distribution visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-heat-map-chart-type.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-heat-map-chart-type-300x105.png 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/a><\/p>\n<p>Additional examples include: average temperature over the course of the year, strain\u2019s reaction to drugs, etc. Take a look at more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Tree_Map_Charts\/\" target=\"_blank\">Heat Map chart samples in this gallery<\/a>.<\/p>\n<h3>Range Chart<\/h3>\n<p>When your <strong>data consists of minimum\/maximum value ranges<\/strong>, not precise values, you can use the <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Range_Charts\/\" target=\"_blank\">Range chart<\/a>\u00a0types: Range Area charts, Range Bar charts, and so on. (However, these are not intended to be used when a median is a concern.) The principle of choosing between areas, bars etc. is basically the same as between Area, Bar, and other conventional charts.<\/p>\n<p>With that said, when depicting data over time with lines or splines and observing variability, consider <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/range-area-chart\/\" target=\"_blank\">Range Area charts<\/a> or <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/range-splinearea-chart\/\" target=\"_blank\">Range Spline Area charts<\/a> respectively.<\/p>\n<p>For example: air temperature.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Range_Charts\/Range_Spline-Area_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3256\" title=\"Click to see the interactive version of this Range Spline Area chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-range-spline-area-chart-type.png\" alt=\"Range Spline Area chart of air temperature for data distribution visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-range-spline-area-chart-type.png 871w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-range-spline-area-chart-type-300x177.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-range-spline-area-chart-type-768x454.png 768w\" sizes=\"(max-width: 871px) 100vw, 871px\" \/><\/a><\/p>\n<p>Additional examples include: highs and lows of pressure, etc.<\/p>\n<p>For a <strong>stronger emphasis on each value<\/strong> and especially when you have <strong>more than one series and need to compare the distributions<\/strong>, you can consider <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/range-column-chart\/\" target=\"_blank\">Range Column charts<\/a> (or <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/range-bar-chart\/\" target=\"_blank\">Range Bar charts<\/a>).<\/p>\n<p>For example: water temperature in two cities.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Range_Charts\/Range_Column_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3255\" title=\"Click to see the interactive version of this Range Column chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-range-column-chart-type.png\" alt=\"Range Column chart of water temperature in two cities for data distribution visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-range-column-chart-type.png 873w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-range-column-chart-type-300x177.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-range-column-chart-type-768x452.png 768w\" sizes=\"(max-width: 873px) 100vw, 873px\" \/><\/a><\/p>\n<p>Additional examples include: seasonal precipitation, etc.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/range-steplinearea-chart\/\" target=\"_blank\">Range Step Line Area charts<\/a> can be used to <strong>highlight trends, anomalies, outliers, and clustering<\/strong>.<\/p>\n<p>For example: minimum\/maximum connection timeouts.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Range_Charts\/Range_Step-Area_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone wp-image-3621 size-full\" title=\"Click to see the interactive version of this Range Step Line Area chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/04\/data-distribution-range-step-area-chart-type_.png\" alt=\"Range Step Line Area chart of max and min connection timeouts for data distribution visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/04\/data-distribution-range-step-area-chart-type_.png 837w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/04\/data-distribution-range-step-area-chart-type_-300x194.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/04\/data-distribution-range-step-area-chart-type_-768x497.png 768w\" sizes=\"(max-width: 837px) 100vw, 837px\" \/><\/a><\/p>\n<p>Additional examples include: processor uptime and downtime, etc.<\/p>\n<p>You can find more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Range_Charts\/\" target=\"_blank\">Range chart samples in this gallery<\/a>.<\/p>\n<h3>Polar Chart<\/h3>\n<p>In <strong>analyzing multivariate data with a spatial perspective<\/strong> \u2013 positioning, navigation, or anything else regarding degrees (angles) and distance \u2013 the <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Polar_Charts\/\" target=\"_blank\">Polar chart<\/a> is capable of facilitating the distribution analysis. In this chart type, data points are displayed in polar coordinates and radii are represented as circles, which allows for more accuracy in identifying distribution trends.<\/p>\n<p>For example: microphone sensitivity pattern.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Polar_Charts\/Polar_Chart_with_Stacked_Area_Series.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3253\" title=\"Click to see the interactive version of this Polar chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-polar-chart-type.png\" alt=\"Polar chart of microphone sensitivity for data distribution visualization and analysis\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-polar-chart-type.png 792w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-polar-chart-type-300x194.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-distribution-polar-chart-type-768x497.png 768w\" sizes=\"(max-width: 792px) 100vw, 792px\" \/><\/a><\/p>\n<p>Additional examples include: signal distribution around the source, etc. Take a look at more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Polar_Charts\/\" target=\"_blank\">Polar chart samples in this gallery<\/a>.<\/p>\n<h2>Conclusion<\/h2>\n<p>You have read about\u00a0the basic set of charts that can serve you well for visualizing data distribution. Just to remind, these are a Dot (Scatter) chart, a Bubble chart, a Box-and-Whisker chart, an Error chart, a Heat Map chart, a Range chart (with one series or another), or a Polar chart.<\/p>\n<p>You can\u00a0also\u00a0check\u00a0out\u00a0<a href=\"https:\/\/www.anychart.com\/chartopedia\/\" target=\"_blank\">Chartopedia<\/a>. It contains more information\u00a0on available <a href=\"https:\/\/www.anychart.com\/chartopedia\/usage-type\/chart-to-show-distribution\/\" target=\"_blank\">chart options for data distribution<\/a> as well as <a href=\"https:\/\/www.anychart.com\/chartopedia\/usage-type\/chart-to-show-range\/\" target=\"_blank\">range charts<\/a> in particular. Once you&#8217;ve picked the chart type you need, see the <a href=\"https:\/\/docs.anychart.com\" target=\"_blank\" rel=\"nofollow\">Docs<\/a> and <a href=\"https:\/\/api.anychart.com\" target=\"_blank\" rel=\"nofollow\">API reference<\/a> to actually visualize your data in that way, with simple JavaScript\/HTML5 and AnyChart.<\/p>\n<p>Here&#8217;s one more advice that we diligently repeat in each article of the <a href=\"https:\/\/www.anychart.com\/blog\/category\/choosing-chart-type\/\" target=\"_blank\"><strong><em>Choose Chart Type for Data Visualization<\/em><\/strong><\/a> series on our blog. While the options listed here are likely to be useful in many situations\u00a0focusing on data distribution,\u00a0your specific data and what exactly you want from it\u00a0should determine which chart type to make use of. Be attentive and think upfront in this regard.<\/p>\n<p>Good luck!<\/p>\n<!-- AddThis Advanced Settings generic via filter on the_content --><!-- AddThis Share Buttons generic via filter on the_content -->","protected":false},"excerpt":{"rendered":"<p>Displaying and researching some Data Distribution and relationship between data sets instead of studying precise values in each category is a quite common task in data analysis. It can be solved with the help of the chart types that\u00a0we\u00a0are going to identify\u00a0and explain in this article. Depending on a\u00a0situation \u2013\u00a0the kind of data you have [&hellip;]<!-- AddThis Advanced Settings generic via filter on get_the_excerpt --><!-- AddThis Share Buttons generic via filter on get_the_excerpt --><\/p>\n","protected":false},"author":9,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[178,4],"tags":[53,72,70,71,211,212,63,35,127,44,129,85,49,54,210,214,213,217,215,216,32,55,144,79,36,141,81,57,58,65,56,207,218,209,30],"class_list":["post-3211","post","type-post","status-publish","format-standard","hentry","category-choosing-chart-type","category-tips-and-tricks","tag-anychart","tag-area-chart","tag-bar-chart","tag-bar-charts","tag-box-chart","tag-box-and-whisker-chart","tag-bubble-chart","tag-business-intelligence","tag-chart-types","tag-charts-and-art","tag-choosing-the-right-chart-type","tag-column-charts","tag-dashboards","tag-data-visualization","tag-dot-chart","tag-error-bars","tag-error-chart","tag-heat-map","tag-heat-map-chart","tag-heatmap","tag-html5","tag-html5-charts","tag-infographics","tag-interactive-html5-dashboard","tag-javascript","tag-javascript-charting","tag-javascript-charting-library","tag-javascript-charts","tag-js-chart","tag-js-charting","tag-js-charts","tag-polar-chart","tag-range-chart","tag-scatter-chart","tag-tips-and-tricks","wpautop"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Data Distribution: Choose Right Chart Type for Data Visualization (Part 4)<\/title>\n<meta name=\"description\" content=\"Visualizing and researching data distribution and relationship between data sets is a common task. The following chart types will help you solve it.\" \/>\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.anychart.com\/blog\/2017\/05\/04\/data-distribution-chart-types\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Data Distribution: Choose Right Chart Type for Data Visualization (Part 4)\" \/>\n<meta property=\"og:description\" content=\"Visualizing and researching data distribution and relationship between data sets is a common task. 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