{"id":3195,"date":"2017-04-12T07:13:12","date_gmt":"2017-04-12T07:13:12","guid":{"rendered":"https:\/\/www.anychart.com\/blog\/?p=3195"},"modified":"2018-11-15T11:42:40","modified_gmt":"2018-11-15T11:42:40","slug":"data-comparison-chart-type-visualization","status":"publish","type":"post","link":"https:\/\/www.anychart.com\/blog\/2017\/04\/12\/data-comparison-chart-type-visualization\/","title":{"rendered":"Choose Right Chart Type for Data Visualization. Part 1: Data Comparison"},"content":{"rendered":"<p><img decoding=\"async\" title=\"How to choose the right chart type to compare data\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/chart-types-for-data-comparison.png\" alt=\"Chart types for data comparison visualization\" width=\"100%\" \/>When it comes to\u00a0creating data analytics and reporting solutions, choosing the right chart type for a certain data visualization task remains a common challenge. What do you pick for data comparison, studying distribution, observing data over time, or\u00a0some other purpose? It can be very tricky! To help you overcome this challenge\u00a0to the best effect, today we are launching a series of articles titled\u00a0<em><a href=\"https:\/\/www.anychart.com\/blog\/category\/choosing-chart-type\/\" target=\"_blank\"><strong>Choose Right Chart Type for Data Visualization<\/strong><\/a>.<\/em>\u00a0The series\u00a0is designed to quickly explain what chart types you should pick for\u00a0different purposes of data analysis. With that said, each article here will be devoted to a specific, yet still big question that you want your data to answer.<\/p>\n<p>The current (first) guide of the series\u00a0is all about chart types that work best for finding out the differences in data: <strong>Data Comparison<\/strong>. In fact, it\u00a0is one of the most frequently established\u00a0purposes of data analytics. And sometimes many people use wrong chart types to fulfil it correctly. Now, finally, let&#8217;s get to the very point and see what visualization forms work best for comparing data.<\/p>\n<p><!--more--><\/p>\n<h2>List of Chart Types for Comparing Data<\/h2>\n<p>To start off, here&#8217;s\u00a0a list of basic chart types that are\u00a0commonly helpful when your purpose is to compare some data:<\/p>\n<ul>\n<li>Bar and Column charts;<\/li>\n<li>Stacked and 100% Stacked charts;<\/li>\n<li>Radar charts.<\/li>\n<\/ul>\n<p>Now, let&#8217;s see what they are all about and how each type should be used.<\/p>\n<h2>Choosing Charts for Data Comparison<\/h2>\n<h3>Bar Chart, Column Chart<\/h3>\n<p>For <strong>data comparison\u00a0across several categories based on their absolute or relative values<\/strong>, the easiest way is to depict them as horizontal or vertical bars in a <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/bar-chart\/\" target=\"_blank\">Bar chart<\/a> or a <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/column-chart\/\" target=\"_blank\">Column chart<\/a> respectively. The general rule here is to\u00a0pick the latter for smaller sets of data, usually up to 10 values.\u00a0The Bar chart type\u00a0can be used for bigger ones and when captions appear to be long.<\/p>\n<p>For example: revenue per product.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Bar_Charts\/Bar_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3228\" title=\"Click to see the interactive version of this Bar chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-bar-chart-type.png\" alt=\"Bar chart of revenue per product for data comparison\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-bar-chart-type.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-bar-chart-type-300x161.png 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/a><\/p>\n<p>Additional examples include: referral websites by attracted visitor traffic, etc. Take a look at more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Bar_Charts\/\" target=\"_blank\">Bar chart samples in this gallery<\/a>.<\/p>\n<p>For <strong>comparing aggregated values regarding several periods of time<\/strong> among themselves and if you would like to focus on each data point, basic Column charts can also be a nice fit.<\/p>\n<p>For example: revenue per month.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Column_Charts\/Column_Chart_with_Negative_Values.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3227\" title=\"Click to see the interactive version of this Column chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-column-chart-type.png\" alt=\"Column chart of revenue per month for data comparison\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-column-chart-type.png 768w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-column-chart-type-300x172.png 300w\" sizes=\"(max-width: 768px) 100vw, 768px\" \/><\/a><\/p>\n<p>Take a look at more <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Column_Charts\/\" target=\"_blank\">Column chart samples in this gallery<\/a>.<\/p>\n<p>To understand exactly which one you need for data comparison, the Bar or the Column chart type, follow this guide:<\/p>\n<ul>\n<li>When categories represent <strong>product names, brands, personal names<\/strong>, and so on, Bar charts usually work best. That is because horizontally oriented texts are much easier to read.<\/li>\n<li>When categories stand for periods of time such as <strong>years, months, quarters<\/strong>, and so on, pick Column charts. This way, the X-axis imitates a date\/time scale\u00a0that is intuitively easier to read from left to right.<\/li>\n<\/ul>\n<h3>Stacked Chart, 100% Stacked Chart<\/h3>\n<p>Stacked charts do the best job when you have several series and would like to not only <strong>compare individual values of data within series<\/strong> but also <strong>assess the behavior of categories in total<\/strong> or the <strong>breakdown of each category<\/strong> by series values.<\/p>\n<p>Anticipating the forthcoming explanation of Area-like charts (Area, Spline Area, and Step Area charts) and following the same principle of choosing between the Bar chart and the Column chart described here earlier, let\u2019s see the examples of what you can get as a result.<\/p>\n<ul>\n<li>To <strong>understand the distribution of values in a category<\/strong>, use 100% Stacked charts.\u00a0For example, a <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/percent-stacked-bar-chart\/\" target=\"_blank\">100% Stacked Bar chart<\/a>\u00a0or a <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/percent-stacked-area-chart\/\" target=\"_blank\">100% Stacked Area chart<\/a>.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Bar_Charts\/100_Percent_Stacked_Bar_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3226\" title=\"Click to see the interactive version of this 100 Percent Stacked Bar chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-100-percent-stacked-bar-chart-type.png\" alt=\"100 Percent Stacked Bar chart for comparing data and analyzing distribution\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-100-percent-stacked-bar-chart-type.png 764w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-100-percent-stacked-bar-chart-type-300x190.png 300w\" sizes=\"(max-width: 764px) 100vw, 764px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Area_Charts\/100_Percent_Stacked_Area_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3225\" title=\"Click to see the interactive version of this 100 Percent Stacked Area chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-100-percent-stacked-area-chart-type.png\" alt=\"100 Percent Stacked Area chart for comparing data and analyzing distribution\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-100-percent-stacked-area-chart-type.png 760w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-100-percent-stacked-area-chart-type-300x193.png 300w\" sizes=\"(max-width: 760px) 100vw, 760px\" \/><\/a><\/p>\n<ul>\n<li>To <strong>examine the category behavior in total<\/strong>, pick the conventional Stacked chart type. For example,\u00a0a <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/stacked-bar-chart\/\" target=\"_blank\">Stacked Bar chart<\/a> or a <a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/stacked-area-chart\/\" target=\"_blank\">Stacked Area chart<\/a>.<\/li>\n<\/ul>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Area_Charts\/Stacked_Area_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3224\" title=\"Click to see the interactive version of this Stacked Area chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-stacked-area-chart-type.png\" alt=\"Stacked Area charts emphasize totals\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-stacked-area-chart-type.png 868w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-stacked-area-chart-type-300x180.png 300w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-stacked-area-chart-type-768x461.png 768w\" sizes=\"(max-width: 868px) 100vw, 868px\" \/><\/a><\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Bar_Charts\/Stacked_Bar_Chart.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3223\" title=\"Click to see the interactive version of this Stacked Bar chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-stacked-bar-chart-type.png\" alt=\"Stacked Bar charts focus on totals\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-stacked-bar-chart-type.png 754w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-stacked-bar-chart-type-300x190.png 300w\" sizes=\"(max-width: 754px) 100vw, 754px\" \/><\/a><\/p>\n<p>You can find\u00a0more of <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/\" target=\"_blank\">Stacked and 100% Stacked chart samples in this gallery<\/a>\u00a0by exploring relevant sections (<a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Bar_Charts\/\" target=\"_blank\"><em>Bar Charts<\/em><\/a>, <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/3D_Bar_Charts\/\" target=\"_blank\"><em>3D Bar Charts<\/em><\/a>, <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Column_Charts\/\" target=\"_blank\"><em>Column\u00a0Charts<\/em><\/a>, <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/3D_Column_Charts\/\" target=\"_blank\"><em>3D Column Charts<\/em><\/a>, <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Combined_Charts\/\" target=\"_blank\"><em>Combined Charts<\/em><\/a>, etc.).<\/p>\n<h3>Radar Chart<\/h3>\n<p>When analyzing cyclic data (seasons, months, etc.), you can use a\u00a0<a href=\"https:\/\/www.anychart.com\/chartopedia\/chart-types\/radar-chart\/\" target=\"_blank\">Radar chart<\/a>.\u00a0In fact, it is ideal for <strong>comparing and identifying patterns and relationships in cyclic data<\/strong>. Also known as spider, spiderweb and star charts, these types of visualization\u00a0plot the values along axes starting from the same point in the chart&#8217;s center and ending on the outer radius.<\/p>\n<p>For example: average monthly temperature.<\/p>\n<p><a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Radar_Charts_(Spiderweb)\/Radar_Chart_with_Two_Area_Series.php\" target=\"_blank\"><img decoding=\"async\" class=\"alignnone size-full wp-image-3222\" title=\"Click to see the interactive version of this Radar chart\" src=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-radar-chart-type.png\" alt=\"Radar chart for comparisons within average monthly temperature data\" width=\"100%\" srcset=\"https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-radar-chart-type.png 746w, https:\/\/www.anychart.com\/blog\/wp-content\/uploads\/2017\/03\/data-comparison-radar-chart-type-300x214.png 300w\" sizes=\"(max-width: 746px) 100vw, 746px\" \/><\/a><\/p>\n<p>Additional examples include: average number of visitors per each day of the week, etc. Take a look at more of <a href=\"https:\/\/www.anychart.com\/products\/anychart\/gallery\/Radar_Charts_(Spiderweb)\/\" target=\"_blank\">Radar chart samples in this gallery<\/a>.<\/p>\n<h2>Conclusion<\/h2>\n<p>When comparing data is what you are looking for in a visualization, first consider choosing a Bar (Column) chart, a Stacked or\u00a0100% Stacked chart, or\u00a0a Radar chart. These types of chart usually work best for data comparison. However, it\u00a0should go without saying that your specific questions and your particular data have the last say of what chart type to pick in one situation or another.<\/p>\n<p>For further information, please stay tuned to the <a href=\"https:\/\/www.anychart.com\/blog\/category\/choosing-chart-type\/\"><em><strong>Choose Right Chart Types for Data Visualization<\/strong><\/em><\/a> series on our blog. We&#8217;ll publish articles covering\u00a0other purposes soon.<\/p>\n<p>You are also welcome to visit <a href=\"https:\/\/www.anychart.com\/chartopedia\/\" target=\"_blank\">Chartopedia<\/a>, the\u00a0definitive guide to chart types <a href=\"https:\/\/www.anychart.com\/blog\/2017\/01\/18\/introducing-chartopedia-choose-right-chart-types-data-visualization\/\" target=\"_blank\">launched just recently<\/a>. It will help you if you can&#8217;t wait or just need more (and comprehensive) details on visualization\u00a0<a href=\"https:\/\/www.anychart.com\/chartopedia\/usage-type\/chart-to-show-comparison\/\" target=\"_blank\">options for data comparison<\/a>. To learn how to quickly create the chart you need, with the help of AnyChart JS (HTML5) Charts, please refer to our <a href=\"https:\/\/docs.anychart.com\/Quick_Start\/Supported_Charts_Types\" target=\"_blank\" rel=\"nofollow\">Documentation<\/a>\u00a0and <a href=\"https:\/\/api.anychart.com\" target=\"_blank\" rel=\"nofollow\">API Reference<\/a>.<\/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>When it comes to\u00a0creating data analytics and reporting solutions, choosing the right chart type for a certain data visualization task remains a common challenge. What do you pick for data comparison, studying distribution, observing data over time, or\u00a0some other purpose? It can be very tricky! To help you overcome this challenge\u00a0to the best effect, today [&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":[53,70,71,35,127,128,44,129,85,49,194,54,32,55,77,144,36,141,81,57,189,185,186,188,87,187,30],"class_list":["post-3195","post","type-post","status-publish","format-standard","hentry","category-choosing-chart-type","category-tips-and-tricks","tag-anychart","tag-bar-chart","tag-bar-charts","tag-business-intelligence","tag-chart-types","tag-chartopedia","tag-charts-and-art","tag-choosing-the-right-chart-type","tag-column-charts","tag-dashboards","tag-data-comparison","tag-data-visualization","tag-html5","tag-html5-charts","tag-html5-dashboards","tag-infographics","tag-javascript","tag-javascript-charting","tag-javascript-charting-library","tag-javascript-charts","tag-percent-stacked-area-chart","tag-percent-stacked-bar-chart","tag-radar-chart","tag-stacked-area-chart","tag-stacked-bar-chart","tag-stacked-charts","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 Comparison: Choose Right Chart Type for Data Visualization (Part 1)<\/title>\n<meta name=\"description\" content=\"When it comes to data analytics and reporting, choosing right chart type for a certain visualization is a challenge. 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