{"id":24160,"date":"2023-12-08T09:11:55","date_gmt":"2023-12-08T04:11:55","guid":{"rendered":"https:\/\/ppcexpo.com\/blog\/?p=24160"},"modified":"2026-01-10T20:47:33","modified_gmt":"2026-01-10T15:47:33","slug":"hierarchical-data-visualization","status":"publish","type":"post","link":"https:\/\/ppcexpo.com\/blog\/hierarchical-data-visualization","title":{"rendered":"Top 5 Hierarchical Data Visualizations for Stories"},"content":{"rendered":"<p>Organizing insights hierarchically is one of the strategies you can use to make your stories persuasive.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2024\/10\/hierarchical-data-visualization-1-1.jpg\" alt=\"Hierarchical Data Visualization\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cytncytNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-3.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cyt4bCtNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-4.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><\/div>\n<p>Our brains are engineered to recognize order and rank in visual content instantly. So you need hierarchical data visualizations to create compelling narratives for your audiences (and readers).<\/p>\n<p><em>Why?<\/em><\/p>\n<p>There are different <a href=\"https:\/\/ppcexpo.com\/blog\/types-of-data-visualization-charts\" target=\"_blank\" rel=\"noopener noreferrer\">types of data visualization<\/a> out of which the hierarchal types of charts display insights into data in a particular order. The order can either be bottom-up or the other way around.<\/p>\n<p>The top 5 expert-recommended hierarchical data visualizations include:<\/p>\n<ul>\n<li><em>Sunburst Chart<\/em><\/li>\n<li><em>Crosstab Chart<\/em><\/li>\n<li><em>Partition Chart<\/em><\/li>\n<li><em>Tree Map Chart<\/em><\/li>\n<li><em>Stacked Bar Chart<\/em><\/li>\n<\/ul>\n<p>You won\u2019t find a huge chunk of the charts (above) in Google Sheets. So if you\u2019re an ardent user of the spreadsheet application, you\u2019ve got to explore other options.<\/p>\n<p>It turns out you don\u2019t have to do away with Google Sheets. You can download and install an add-on to access all the hierarchy charts, plus more.<\/p>\n<p>In this blog, you\u2019ll learn the following:<\/p>\n<ul>\n<li>Steps to use to visualize your data with hierarchical data visualization.<\/li>\n<li>The tested and proven add-on you should install in your Google Sheets.<\/li>\n<\/ul>\n<h2>Top 5 Hierarchical Data Visualization You Need to Try<\/h2>\n<p>Before we delve right into the heart of the blog, let\u2019s define the chart.<\/p>\n<h3>What is a Hierarchical Data Visualization Chart?<\/h3>\n<p>Hierarchy comes from the Greek word \u2018hierarkhia\u2019, which translates as the \u201crule of a high priest.\u201d<\/p>\n<p>In today\u2019s world, hierarchy is a system of values (titles, objects, positions, etc.) in which each value is placed above, below, or equal to others.<\/p>\n<p>In data analytics, hierarchy charts are used to display insights into data in a certain order. The hierarchy can be top-down or bottom-up depending on your preference. The charts are incredibly significant in <a href=\"https:\/\/ppcexpo.com\/blog\/data-analysis-guide\" target=\"_blank\" rel=\"noopener noreferrer\">data analysis<\/a> because they uncover hidden patterns and relationships in your data.<\/p>\n<p>A classic example of hierarchical data visualization is the file and folder system found on your computer. Usually, there are parent folders with sub-folders, which are somehow connected, depending on your criteria.<\/p>\n<h3>Benefits of Hierarchy Charts<\/h3>\n<p>Many charts display insights in ranking order. But, we\u2019ve narrowed down the list to 5 key ones based on the following criteria:<\/p>\n<ul>\n<li><em>Ease of interpretation<\/em><\/li>\n<li><em>Simplicity<\/em><\/li>\n<\/ul>\n<p>Our list is made of the following hierarchical data visualization designs:<\/p>\n<ul>\n<li><em>Sunburst Chart<\/em><\/li>\n<li><em>Crosstab Chart<\/em><\/li>\n<li><em>Partition Chart<\/em><\/li>\n<li><em>Tree Map Chart<\/em><\/li>\n<li><em>Stacked Bar Chart<\/em><\/li>\n<\/ul>\n<p>The common denominators with these charts (above) are their <em>simplicity and ease of interpretation.<\/em> So, they should be your go-to charts, especially when curating stories because they are <em>amazingly easy to read and <a href=\"https:\/\/ppcexpo.com\/blog\/how-to-interpret-graphs-and-charts\" target=\"_blank\" rel=\"noopener noreferrer\">interpret graphs and charts<\/a>.<\/em><\/p>\n<p>You can use these charts to transform raw and bulky data sets into insights. They achieve the aforementioned task by providing in-depth information about patterns and relations between key data points. Also, you can easily infer the best and worst-performing metrics by simply checking at the top and bottom of the hierarchy.<\/p>\n<p>Hierarchical data visualization graphs create tree-like impressions in our brains. Each data point is depicted by a node in the tree. Furthermore, each node may have a collection of sub-nodes (also known as child nodes).<\/p>\n<p>The relationship between the parent and the child nodes forms a tree network, which provides hierarchical insights. Check out the attributes of the hierarchy charts.<\/p>\n<p><em>Properties of Hierarchical Data Visualization Designs<\/em><\/p>\n<ul>\n<li>Nodes in hierarchy charts have one parent node.<\/li>\n<li>Nodes with no children (sub-nodes) are called leaf nodes. On the other hand, the nodes with branches are called the interior nodes.<\/li>\n<\/ul>\n<h3>The Best Tool for Visualizing Hierarchical Data<\/h3>\n<p>Visualization tools, such as Google Sheets, are making it easier than ever to visualize hierarchical data in a way that\u2019s understandable by the intended audiences (and readers).<\/p>\n<p>Knowing your audience can help you to determine the most applicable chart to integrate into your story.<\/p>\n<p>You also need to pay attention to other overt issues, such as personal interests. The best tool to use to visualize your data with hierarchical data visualization should have the following attributes:<\/p>\n<ul>\n<li>To truly explore your data fully, you need a tool that provides you with more options, such as a massive library and the ability to edit and customize your charts.<\/li>\n<\/ul>\n<p>Keep reading because we\u2019ll later unveil a tool that provides you unlimited flexibility, especially when curating <a href=\"https:\/\/ppcexpo.com\/blog\/data-storytelling\" target=\"_blank\" rel=\"noopener noreferrer\">data stories<\/a>.<\/p>\n<ul>\n<li><strong>Ready-made charts.<\/strong> You need a tool that\u2019s loaded with ready-to-use charts. Endless customizations and editing of basic charts can easily consume massive chunks of your valuable time.<\/li>\n<li><strong>Collaboration<\/strong>. In today\u2019s world, you need a <a href=\"https:\/\/ppcexpo.com\/blog\/data-visualization-tools\" target=\"_blank\" rel=\"noopener noreferrer\">data visualization tool<\/a> that allows collaboration in projects. Luckily, there are free tools, such as Google Sheets that allow you to share and collaborate on projects remotely.<\/li>\n<\/ul>\n<p>We acknowledge that Google Sheets is one of the most used data visualization tools by most professionals and businesses. This spreadsheet app has been there for years, plus it\u2019s familiar to many.<\/p>\n<p>But if your goal is to create <em>insightful and ready-to-use hierarchical <a href=\"https:\/\/ppcexpo.com\/blog\/types-of-data-visualization-charts\" target=\"_blank\" rel=\"noopener noreferrer\">data visualization charts<\/a><\/em>, you\u2019ve got to think beyond Google Sheets. <em>Why?<\/em><\/p>\n<p>The spreadsheet app lacks hierarchy charts. <em>Yes, you read that right.<\/em><\/p>\n<p>To access insightful and ready-made hierarchical graphs (<strong>Sunburst, Cross Tab, Partition, and Stacked Bar Charts<\/strong>) in Google Sheets, you have to install third-party apps (add-ons).<\/p>\n<p>There are thousands of add-ons purposely for data visualization you can find in <strong>Google Workspace Marketplace.<\/strong> To save you time, we\u2019ve tested hundreds of add-ons. ChartExpo ticks all the boxes to the following:<\/p>\n<ul>\n<li><em>Ease of use<\/em><\/li>\n<li><em>Ease of access<\/em><\/li>\n<li><em>Number of intuitive and advanced charts available<\/em><\/li>\n<li><em>Affordability<\/em><\/li>\n<\/ul>\n<p>If your goal is to display hierarchical insights into your<\/p>\n<p>data with ready-made and visually appealing charts and you want the <a href=\"https:\/\/ppcexpo.com\/blog\/best-no-code-tools\" target=\"_blank\" rel=\"noopener noreferrer\">best no-code tools<\/a> then your go-to add-on should be ChartExpo.<\/p>\n<p>In the coming section, you\u2019ll learn how you can install the ChartExpo add-on in your Google Sheets to access ready-made hierarchy charts.<\/p>\n<h3>The Best Hierarchical Data Visualization Chart Generator: ChartExpo<\/h3>\n<p>ChartExpo is a trusted tool that thousands of professionals across the world use to create <em>insightful and ready-made advanced hierarchical charts<\/em>.<\/p>\n<p>Besides, it comes as an add-on you can easily install in your Google Sheets to build advanced <a href=\"https:\/\/ppcexpo.com\/blog\/google-sheets-charts\" target=\"_blank\" rel=\"noopener\">Google Sheets charts<\/a>. The tool has an easy-to-navigate interface, and you don\u2019t need skills in programming or coding to get started with hierarchical data visualization designs in ChartExpo.<\/p>\n<p>ChartExpo has all the 5 hierarchy charts, namely:<\/p>\n<ul>\n<li><em>Sunburst Chart<\/em><\/li>\n<li><em>Crosstab Chart<\/em><\/li>\n<li><em>Partition Chart<\/em><\/li>\n<li><em>Tree Map Chart<\/em><\/li>\n<li><em>Stacked Bar Chart<\/em><\/li>\n<\/ul>\n<p>The data visualization add-on is cloud-hosted, which means your personal computer won\u2019t slow down.<\/p>\n<p><em>So how can you get started with ChartExpo?<\/em><\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cytncytNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-3.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cyt4bCtNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-4.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><\/div>\n<h3>Example 1: Sunburst Chart<\/h3>\n<p>The <a href=\"https:\/\/ppcexpo.com\/blog\/sunburst-chart\" target=\"_blank\" rel=\"noopener noreferrer\">Sunburst Chart<\/a> is one of the hierarchy charts you can use in your stories because it\u2019s <em>incredibly easy to interpret.<\/em><\/p>\n<p>The hierarchical data visualization design displays insights in a ranking order using a series of concentric rings. Each ring in the chart corresponds to a level in the hierarchy.<\/p>\n<p>Let\u2019s visualize the tabular data using <em>Sunburst Charts in ChartExpo.<\/em><\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"161\"><strong>Category<\/strong><\/td>\n<td width=\"127\"><strong>Months<\/strong><\/td>\n<td width=\"101\"><strong>Country<\/strong><\/td>\n<td width=\"151\"><strong>Sales Orders<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">June<\/td>\n<td width=\"101\">USA<\/td>\n<td width=\"151\">75<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">June<\/td>\n<td width=\"101\">United Kingdom<\/td>\n<td width=\"151\">67<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">June<\/td>\n<td width=\"101\">Germany<\/td>\n<td width=\"151\">90<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">July<\/td>\n<td width=\"101\">USA<\/td>\n<td width=\"151\">75<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">July<\/td>\n<td width=\"101\">United Kingdom<\/td>\n<td width=\"151\">67<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">July<\/td>\n<td width=\"101\">Germany<\/td>\n<td width=\"151\">90<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">April<\/td>\n<td width=\"101\">USA<\/td>\n<td width=\"151\">67<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">April<\/td>\n<td width=\"101\">United Kingdom<\/td>\n<td width=\"151\">90<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">April<\/td>\n<td width=\"101\">Germany<\/td>\n<td width=\"151\">75<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">May<\/td>\n<td width=\"101\">USA<\/td>\n<td width=\"151\">67<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">May<\/td>\n<td width=\"101\">United Kingdom<\/td>\n<td width=\"151\">90<\/td>\n<\/tr>\n<tr>\n<td width=\"161\">Sales<\/td>\n<td width=\"127\">May<\/td>\n<td width=\"101\">Germany<\/td>\n<td width=\"151\">75<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ul>\n<li>To visualize the data (above) with Sunburst (one of the hierarchical data visualization charts), copy the table above into your Google Sheets.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/08\/hierarchical-data-visualization-1.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<ul>\n<li>Click the <strong>Add-on button&gt;ChartExpo \u2014 Best Data Visualization Tool button&gt;Open.<\/strong><\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/08\/hierarchical-data-visualization-2.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<ul>\n<li>Click the <strong>Create New Chart button<\/strong> to access your fully stocked library of charts.<\/li>\n<\/ul>\n<p>Getting started with hierarchical data visualization graphs does not have to be <em>complex and stressful.<\/em><\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/08\/hierarchical-data-visualization-3.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<ul>\n<li>Click <strong>the Search Box<\/strong> and type \u201c<strong>Sunburst Charts<\/strong>.\u201d It should pop up together with other charts.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/08\/hierarchical-data-visualization-4.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<ul>\n<li>Select the sheet holding your data and select the <strong>Metrics option. <\/strong>Fill in the numerical numbers (in our scenario, we\u2019ll fill in the <strong>sales Order<\/strong>)<\/li>\n<li>Select the <strong>Dimensions button<\/strong> and fill in the dimensional data (in our example, we\u2019ll use <strong>category, months, and country<\/strong>)<\/li>\n<li>Visualizing your data with hierarchy charts does not have to be complex. ChartExpo makes the whole process <strong>seamless and easy.<\/strong><\/li>\n<li>Finish the simple process by clicking the <strong>Create Chart button<\/strong>.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-5.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cytncytNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-3.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cyt4bCtNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-4.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><\/div>\n<h3>Insights<\/h3>\n<ul>\n<li>The aggregate sales Order value is 928.<\/li>\n<li>All the months (May, June, July, and April) have equal sales value (232).<\/li>\n<li>In April, the best and worst-performing territories were the United Kingdom and the United States, respectively.<\/li>\n<li>In May, the best and worst-performing countries were the United Kingdom and the United States, respectively.<\/li>\n<li>In June, the best and worst-performing countries were Germany and the United Kingdom, respectively.<\/li>\n<li>The best and worst-performing countries during July were Germany and the United Kingdom, respectively.<\/li>\n<\/ul>\n<h3>Example #2: Crosstab Chart<\/h3>\n<p>The Crosstab Graph is one of the hierarchy charts you can use in your stories because it\u2019s <em>incredibly easy to interpret.<\/em><\/p>\n<p>Let\u2019s visualize the tabular data using Crosstab Charts in the ChartExpo add-on. <em>Let\u2019s get started.<\/em><\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"176\"><strong>Social Media <\/strong><\/td>\n<td width=\"240\"><strong>Browser<\/strong><\/td>\n<td width=\"116\"><strong>Traffic <\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Pinterest<\/td>\n<td width=\"240\">Chrome<\/td>\n<td width=\"116\">41<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Pinterest<\/td>\n<td width=\"240\">Safari<\/td>\n<td width=\"116\">37<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Pinterest<\/td>\n<td width=\"240\">Firefox<\/td>\n<td width=\"116\">26<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Pinterest<\/td>\n<td width=\"240\">Edge<\/td>\n<td width=\"116\">15<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Pinterest<\/td>\n<td width=\"240\">Android WebView<\/td>\n<td width=\"116\">30<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Slideshare<\/td>\n<td width=\"240\">Chrome<\/td>\n<td width=\"116\">23<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Slideshare<\/td>\n<td width=\"240\">Firefox<\/td>\n<td width=\"116\">14<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Slideshare<\/td>\n<td width=\"240\">Edge<\/td>\n<td width=\"116\">7<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Slideshare<\/td>\n<td width=\"240\">Android WebView<\/td>\n<td width=\"116\">17<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Twitter<\/td>\n<td width=\"240\">Chrome<\/td>\n<td width=\"116\">57<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Twitter<\/td>\n<td width=\"240\">Firefox<\/td>\n<td width=\"116\">14<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Twitter<\/td>\n<td width=\"240\">Safari<\/td>\n<td width=\"116\">48<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Twitter<\/td>\n<td width=\"240\">Android WebView<\/td>\n<td width=\"116\">45<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">LinkedIn<\/td>\n<td width=\"240\">Chrome<\/td>\n<td width=\"116\">52<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">LinkedIn<\/td>\n<td width=\"240\">Android WebView<\/td>\n<td width=\"116\">14<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">LinkedIn<\/td>\n<td width=\"240\">Edge<\/td>\n<td width=\"116\">10<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">LinkedIn<\/td>\n<td width=\"240\">Firefox<\/td>\n<td width=\"116\">13<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">LinkedIn<\/td>\n<td width=\"240\">Safari<\/td>\n<td width=\"116\">31<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Quora<\/td>\n<td width=\"240\">Safari<\/td>\n<td width=\"116\">20<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Quora<\/td>\n<td width=\"240\">Edge<\/td>\n<td width=\"116\">14<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Quora<\/td>\n<td width=\"240\">Android WebView<\/td>\n<td width=\"116\">20<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Quora<\/td>\n<td width=\"240\">Chrome<\/td>\n<td width=\"116\">46<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Quora<\/td>\n<td width=\"240\">Firefox<\/td>\n<td width=\"116\">11<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Instagram<\/td>\n<td width=\"240\">Safari<\/td>\n<td width=\"116\">26<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Instagram<\/td>\n<td width=\"240\">Android WebView<\/td>\n<td width=\"116\">26<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Instagram<\/td>\n<td width=\"240\">Firefox<\/td>\n<td width=\"116\">16<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Instagram<\/td>\n<td width=\"240\">Chrome<\/td>\n<td width=\"116\">27<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Reddit<\/td>\n<td width=\"240\">Chrome<\/td>\n<td width=\"116\">22<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Reddit<\/td>\n<td width=\"240\">Android WebView<\/td>\n<td width=\"116\">16<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Reddit<\/td>\n<td width=\"240\">Safari<\/td>\n<td width=\"116\">21<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Reddit<\/td>\n<td width=\"240\">Firefox<\/td>\n<td width=\"116\">16<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Reddit<\/td>\n<td width=\"240\">Edge<\/td>\n<td width=\"116\">3<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Facebook<\/td>\n<td width=\"240\">Firefox<\/td>\n<td width=\"116\">25<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Facebook<\/td>\n<td width=\"240\">Safari<\/td>\n<td width=\"116\">35<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Facebook<\/td>\n<td width=\"240\">Chrome<\/td>\n<td width=\"116\">69<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Facebook<\/td>\n<td width=\"240\">Edge<\/td>\n<td width=\"116\">13<\/td>\n<\/tr>\n<tr>\n<td width=\"176\">Facebook<\/td>\n<td width=\"240\">Android WebView<\/td>\n<td width=\"116\">38<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ul>\n<li>To visualize the data (above) with Crosstab (one of the hierarchical data visualization charts), copy the table above into your Google Sheets.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/08\/hierarchical-data-visualization-6.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<ul>\n<li>Click <strong>the Search Box<\/strong> and type \u201c<strong>Crosstab Charts.\u201d<\/strong><\/li>\n<li>Select the sheet holding your data and select the <strong>Metrics option. <\/strong>Fill in the numerical numbers (in our scenario, we\u2019ll fill in <strong>traffic<\/strong>)<\/li>\n<li>Select the <strong>Dimensions button<\/strong> and fill in the dimensional data (in our example, we\u2019ll use <strong>social media and browser<\/strong>)<\/li>\n<li>Finish the simple process by clicking the <strong>Create Chart button<\/strong>.<\/li>\n<li>If you follow the instructions (above), your Crosstab Chart should look like this (below).<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-7.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cytncytNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-3.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cyt4bCtNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-4.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><\/div>\n<h3>Insights<\/h3>\n<ul>\n<li>Facebook (18%) has the highest share of traffic.<\/li>\n<li>Conversely, the Slide Share (6%) accounts for the lowest traffic.<\/li>\n<li>The majority of users access Facebook via Chrome (39%), followed by Android (21%).<\/li>\n<li>The majority of Slide Share users use Chrome (37%) and Android (17%).<\/li>\n<li>Chrome is the most-used browser, while Edge is the least-used application.<\/li>\n<\/ul>\n<h3>Example #3: Partition Chart<\/h3>\n<p>Let\u2019s use the Partition (one of the hierarchy charts) to visualize the data below.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"134\"><strong>Analysis <\/strong><\/td>\n<td width=\"96\"><strong>Time<\/strong><\/td>\n<td width=\"116\"><strong>Dishes <\/strong><\/td>\n<td width=\"66\"><strong>Sales<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"134\">Sales<\/td>\n<td width=\"96\">Lunch<\/td>\n<td width=\"116\">Salad<\/td>\n<td width=\"66\">100<\/td>\n<\/tr>\n<tr>\n<td width=\"134\">Sales<\/td>\n<td width=\"96\">Lunch<\/td>\n<td width=\"116\">Sandwich<\/td>\n<td width=\"66\">80<\/td>\n<\/tr>\n<tr>\n<td width=\"134\">Sales<\/td>\n<td width=\"96\">Lunch<\/td>\n<td width=\"116\">Soup<\/td>\n<td width=\"66\">50<\/td>\n<\/tr>\n<tr>\n<td width=\"134\">Sales<\/td>\n<td width=\"96\">Lunch<\/td>\n<td width=\"116\">Pie<\/td>\n<td width=\"66\">35<\/td>\n<\/tr>\n<tr>\n<td width=\"134\">Sales<\/td>\n<td width=\"96\">Lunch<\/td>\n<td width=\"116\">Iced Tea<\/td>\n<td width=\"66\">20<\/td>\n<\/tr>\n<tr>\n<td width=\"134\">Sales<\/td>\n<td width=\"96\">Breakfast<\/td>\n<td width=\"116\">Waffles<\/td>\n<td width=\"66\">80<\/td>\n<\/tr>\n<tr>\n<td width=\"134\">Sales<\/td>\n<td width=\"96\">Breakfast<\/td>\n<td width=\"116\">Eggs<\/td>\n<td width=\"66\">60<\/td>\n<\/tr>\n<tr>\n<td width=\"134\">Sales<\/td>\n<td width=\"96\">Breakfast<\/td>\n<td width=\"116\">Pancakes<\/td>\n<td width=\"66\">45<\/td>\n<\/tr>\n<tr>\n<td width=\"134\">Sales<\/td>\n<td width=\"96\">Breakfast<\/td>\n<td width=\"116\">Tea<\/td>\n<td width=\"66\">30<\/td>\n<\/tr>\n<tr>\n<td width=\"134\">Sales<\/td>\n<td width=\"96\">Breakfast<\/td>\n<td width=\"116\">Coffee<\/td>\n<td width=\"66\">25<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ul>\n<li>To visualize the data (above) with <strong>Partition Graph<\/strong> (one of the hierarchical data visualization charts), export the data (above) into your Google Sheets.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/08\/hierarchical-data-visualization-8.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<ul>\n<li>Click <strong>the Search Box<\/strong> and type \u201c<strong>Partition Charts.\u201d <\/strong><\/li>\n<li>Select the sheet holding your data and select the <strong>Metrics option. <\/strong>Fill in the numerical numbers (in our scenario, we\u2019ll fill in <strong>sales<\/strong>)<\/li>\n<li>Select the <strong>Dimensions button<\/strong> and fill in the dimensional data (in our example, we\u2019ll use <strong>analysis, time, and dishes<\/strong>)<\/li>\n<li>Complete the simple process by clicking the <strong>Create Chart button<\/strong>.<\/li>\n<li>Check out the final chart (below).<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-9.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cytncytNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-3.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cyt4bCtNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-4.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><\/div>\n<h3>Insights<\/h3>\n<ul>\n<li>The aggregate sales value is 525.<\/li>\n<li>Breakfast accounts for 40% of the overall daily food sales.<\/li>\n<li>Lunch accounts for 54% of the aggregate sales for the day.<\/li>\n<li>Salad (35%) is the most-ordered meal in the lunch segment.<\/li>\n<li>Waffles are the most consumed meal during<\/li>\n<li>Iced tea and pancakes are the least-ordered meals during lunch and breakfast, respectively.<\/li>\n<\/ul>\n<h3>Example #4: Tree Map Chart<\/h3>\n<p>In this example, we\u2019ll use the <a href=\"https:\/\/ppcexpo.com\/blog\/tree-diagram\" target=\"_blank\" rel=\"noopener\">Tree Diagram<\/a>(one of the hierarchical data visualization designs) to visualize the data set below.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"267\"><strong>Analysis<\/strong><\/td>\n<td width=\"151\"><strong>Categories<\/strong><\/td>\n<td width=\"116\"><strong>Apparels<\/strong><\/td>\n<td width=\"84\"><strong>Sales<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"267\">Daily Apparel Sales ($)<\/td>\n<td width=\"151\">Male<\/td>\n<td width=\"116\">T-shirt<\/td>\n<td width=\"84\">100<\/td>\n<\/tr>\n<tr>\n<td width=\"267\">Daily Apparel Sales ($)<\/td>\n<td width=\"151\">Male<\/td>\n<td width=\"116\">Jeans<\/td>\n<td width=\"84\">80<\/td>\n<\/tr>\n<tr>\n<td width=\"267\">Daily Apparel Sales ($)<\/td>\n<td width=\"151\">Male<\/td>\n<td width=\"116\">Hoodies<\/td>\n<td width=\"84\">50<\/td>\n<\/tr>\n<tr>\n<td width=\"267\">Daily Apparel Sales ($)<\/td>\n<td width=\"151\">Male<\/td>\n<td width=\"116\">Flip-flops<\/td>\n<td width=\"84\">35<\/td>\n<\/tr>\n<tr>\n<td width=\"267\">Daily Apparel Sales ($)<\/td>\n<td width=\"151\">Male<\/td>\n<td width=\"116\">Long coat<\/td>\n<td width=\"84\">20<\/td>\n<\/tr>\n<tr>\n<td width=\"267\">Daily Apparel Sales ($)<\/td>\n<td width=\"151\">Female<\/td>\n<td width=\"116\">Shorts<\/td>\n<td width=\"84\">80<\/td>\n<\/tr>\n<tr>\n<td width=\"267\">Daily Apparel Sales ($)<\/td>\n<td width=\"151\">Female<\/td>\n<td width=\"116\">Jeans<\/td>\n<td width=\"84\">60<\/td>\n<\/tr>\n<tr>\n<td width=\"267\">Daily Apparel Sales ($)<\/td>\n<td width=\"151\">Female<\/td>\n<td width=\"116\">Skirts<\/td>\n<td width=\"84\">45<\/td>\n<\/tr>\n<tr>\n<td width=\"267\">Daily Apparel Sales ($)<\/td>\n<td width=\"151\">Female<\/td>\n<td width=\"116\">Night wears<\/td>\n<td width=\"84\">30<\/td>\n<\/tr>\n<tr>\n<td width=\"267\">Daily Apparel Sales ($)<\/td>\n<td width=\"151\">Female<\/td>\n<td width=\"116\">T-shirt<\/td>\n<td width=\"84\">25<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h4>Export the data (above) into Google Sheets to get started with the hierarchy chart example (TreeMap).<\/h4>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/08\/hierarchical-data-visualization-10.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<ul>\n<li>Click <strong>the Search Box<\/strong> and type \u201c<strong>Tree Map Charts.\u201d<\/strong><\/li>\n<li>Select the sheet holding your data and select the <strong>Metrics option. <\/strong>Fill in the numerical numbers (in our scenario, we\u2019ll fill in <strong>sales<\/strong>)<\/li>\n<li>Select the <strong>Dimensions button<\/strong> and fill in the dimensional data (in our example, we\u2019ll use <strong>analysis, categories, apparel, and sales order<\/strong>)<\/li>\n<li>Click the <strong>Create Chart button <\/strong>to complete the process.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-11.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cytncytNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-3.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cyt4bCtNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-4.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><\/div>\n<h3>Insights<\/h3>\n<ul>\n<li>Male apparel accounts for 54% of the overall daily sales, while women\u2019s fashion accounts for only 46%.<\/li>\n<li>Shorts (33%) are the most bought garments in the female apparel segment.<\/li>\n<li>On the other hand, T-shirts account for 35% of all sales in the male apparel segment.<\/li>\n<li>The least-bought garment in the male apparel category is the long coat (7%).<\/li>\n<li>The least popular garment in the female fashion category is T-shirts, followed closely by nightwear.<\/li>\n<\/ul>\n<h3>Example #5: Stacked Bar Chart<\/h3>\n<p>In this example, we\u2019ll use the <strong>Stacked Bar Chart. <\/strong>You might have used this chart to show the normal data but the visualization supported by ChartExpo can give you facility to use this chart to show data to some hierarchical level. For example, you have the following data in which different teacher with different subjects teaches different classes. So you have data of enrolled students and you want to visualize it.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"57\"><strong>Teacher<\/strong><\/td>\n<td width=\"68\"><strong>Class<\/strong><\/td>\n<td width=\"96\"><strong>Subjects<\/strong><\/td>\n<td width=\"38\"><strong>2019<\/strong><\/td>\n<td width=\"54\"><strong>2020<\/strong><\/td>\n<td width=\"59\"><strong>2021<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"57\">Abe<\/td>\n<td width=\"68\">Grade-7<\/td>\n<td width=\"96\">Mathematics<\/td>\n<td width=\"38\">20<\/td>\n<td width=\"54\">20<\/td>\n<td width=\"59\">50<\/td>\n<\/tr>\n<tr>\n<td width=\"57\">Abe<\/td>\n<td width=\"68\">Grade-8<\/td>\n<td width=\"96\">Mathematics<\/td>\n<td width=\"38\">15<\/td>\n<td width=\"54\">40<\/td>\n<td width=\"59\">20<\/td>\n<\/tr>\n<tr>\n<td width=\"57\">Abe<\/td>\n<td width=\"68\">Grade-9<\/td>\n<td width=\"96\">Mathematics<\/td>\n<td width=\"38\">25<\/td>\n<td width=\"54\">20<\/td>\n<td width=\"59\">20<\/td>\n<\/tr>\n<tr>\n<td width=\"57\">Bif<\/td>\n<td width=\"68\">Grade-7<\/td>\n<td width=\"96\">Computer<\/td>\n<td width=\"38\">40<\/td>\n<td width=\"54\">10<\/td>\n<td width=\"59\">10<\/td>\n<\/tr>\n<tr>\n<td width=\"57\">Bif<\/td>\n<td width=\"68\">Grade-8<\/td>\n<td width=\"96\">Computer<\/td>\n<td width=\"38\">20<\/td>\n<td width=\"54\">20<\/td>\n<td width=\"59\">15<\/td>\n<\/tr>\n<tr>\n<td width=\"57\">Bif<\/td>\n<td width=\"68\">Grade-9<\/td>\n<td width=\"96\">Computer<\/td>\n<td width=\"38\">10<\/td>\n<td width=\"54\">30<\/td>\n<td width=\"59\">25<\/td>\n<\/tr>\n<tr>\n<td width=\"57\">Ann<\/td>\n<td width=\"68\">Grade-7<\/td>\n<td width=\"96\">Arts<\/td>\n<td width=\"38\">20<\/td>\n<td width=\"54\">20<\/td>\n<td width=\"59\">15<\/td>\n<\/tr>\n<tr>\n<td width=\"57\">Ann<\/td>\n<td width=\"68\">Grade-8<\/td>\n<td width=\"96\">Arts<\/td>\n<td width=\"38\">30<\/td>\n<td width=\"54\">10<\/td>\n<td width=\"59\">10<\/td>\n<\/tr>\n<tr>\n<td width=\"57\">Ann<\/td>\n<td width=\"68\">Grade-9<\/td>\n<td width=\"96\">Arts<\/td>\n<td width=\"38\">20<\/td>\n<td width=\"54\">20<\/td>\n<td width=\"59\">20<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<ul>\n<li>To visualize the data above using the <strong>Stacked Bar Chart <\/strong>(one of the hierarchical data visualization designs), copy the data into your Google Sheets.<\/li>\n<li>Find a Stacked Bar Chart from the list of available charts click on it and then select the relevant sheet and columns.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/08\/hierarchical-data-visualization-12.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<ul>\n<li>Complete the process by clicking the <strong>Create Chart button<\/strong>.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-13.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<p>You will find different <a href=\"https:\/\/ppcexpo.com\/blog\/types-of-charts-and-graphs\" target=\"_blank\" rel=\"noopener noreferrer\">types of charts and graphs<\/a> in ChartExpo. The same data can also be used by the Stacked Column Chart provided in this tool. The below image shows the same data but in vertical\/column form. It is up to you, which one you want to use according to your need.<\/p>\n<div style=\"text-align: center;\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-14.jpg\" alt=\"hierarchical data visualization\"><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cytncytNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-3.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/Mit3cyt4bCtNSitodHJwYys=\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/03\/hierarchical-data-visualization-button-4.jpg\" alt=\"hierarchical data visualization\" width=\"308\" height=\"143\"><\/a><\/div>\n<h3>Insights<\/h3>\n<ul>\n<li>50 students were enrolled in 2021 in Grade 7 for mathematics teacher Abe. In 2019 and 2020, there were 20 students to the same teacher for the same class.<\/li>\n<li>Teacher Ann of Grade 9 got 20 students in each year from 2019 to 2021 in Arts class and there are rest of the stats give you a clear idea about the data.<\/li>\n<\/ul>\n<h2>FAQs:<\/h2>\n<h3>What is Hierarchical Data Visualization?<\/h3>\n<p>Hierarchy data visualization charts are used to display insights in ranking order. The hierarchy can be top-down or bottom-up depending on your preference.<\/p>\n<p>The chart types are incredibly significant in data analysis because they uncover hidden patterns and relationships in your data.<\/p>\n<h3>How do you represent hierarchical data?<\/h3>\n<p>The go-to data visualization tool for many businesses is Google Sheets because it\u2019s easy to use and familiar to many of us.<\/p>\n<p>However, Google Sheets lacks a significant chunk of hierarchy charts.<\/p>\n<p>Supercharge your Google Sheets with add-ons, such as ChartExpo to access ready-made hierarchical data visualization designs.<\/p>\n<h4>Wrap Up<\/h4>\n<p>Hierarchically organizing data is one of the easiest ways of extracting reliable insights.<\/p>\n<p>The tested and proven charts for displaying insights in a ranking order include the following:<\/p>\n<ul>\n<li><em>Sunburst Chart<\/em><\/li>\n<li><em>Crosstab Chart<\/em><\/li>\n<li><em>Partition Chart<\/em><\/li>\n<li><em>Tree Map Chart<\/em><\/li>\n<li><em>Stacked Bar Chart<\/em><\/li>\n<\/ul>\n<p>We recommend the hierarchical data visualization graphs (above) because they\u2019re incredibly easy to interpret, even for non-technical audiences.<\/p>\n<p>To interpret the hierarchy charts, you just have to locate the parent and children nodes and note their values.<\/p>\n<p><em>Yes, it\u2019s that easy.<\/em><\/p>\n<p>Google Sheets should not be your go-to hierarchical graph generator if your goal is to access ready-made and easy-to-read hierarchical charts.<\/p>\n<p><em>Why?<\/em><\/p>\n<p>The spreadsheet tool lacks a sizeable chunk of hierarchical data visualization designs (we mentioned earlier). But we\u2019re not recommending you to do away with the freemium spreadsheet application.<\/p>\n<p>We recommend you install third-party add-ons, such as ChartExpo in Google Sheets, to access <em>ready-to-use, insightful, and visually appealing hierarchy charts<\/em>.<\/p>\n<p>ChartExpo is an add-on you can easily download and install in your Google Sheets. Besides, it\u2019s loaded with all the 5 hierarchical visualization types we\u2019ve just covered, plus 50 more advanced graphs.<\/p>\n<p><em>It gets better. <\/em><\/p>\n<p>You don\u2019t need programming or coding skills to visualize your data using this tool. Furthermore, you can easily export your charts in JPEG and PNG formats.<\/p>\n<p>Sign up for a 7-day free trial today to access a complete list of <em>ready-made, insightful, and visually appealing hierarchical charts.<\/em><\/p>\n","protected":false},"excerpt":{"rendered":"<p><p>Click to learn the top five hierarchical data visualizations for your stories. You\u2019ll also learn about the hierarchical charts generator.<\/p>\n&nbsp;&nbsp;<a href=\"https:\/\/ppcexpo.com\/blog\/hierarchical-data-visualization\"><\/a><\/p>","protected":false},"author":1,"featured_media":39646,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[887],"tags":[276],"_links":{"self":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/24160"}],"collection":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/comments?post=24160"}],"version-history":[{"count":11,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/24160\/revisions"}],"predecessor-version":[{"id":45772,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/24160\/revisions\/45772"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/media\/39646"}],"wp:attachment":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/media?parent=24160"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/categories?post=24160"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/tags?post=24160"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}