{"id":23766,"date":"2024-12-23T18:00:44","date_gmt":"2024-12-23T13:00:44","guid":{"rendered":"https:\/\/ppcexpo.com\/blog\/?p=23766"},"modified":"2025-06-26T20:58:42","modified_gmt":"2025-06-26T15:58:42","slug":"how-to-visualize-ranking-data","status":"publish","type":"post","link":"https:\/\/ppcexpo.com\/blog\/how-to-visualize-ranking-data","title":{"rendered":"How to Visualize Ranking Data With Examples?"},"content":{"rendered":"<p>Having jumbled and unorganized data is always hard to understand. Even you can ignore the best possible results hidden in such data collection. So therefore keeping the data in order and having proper labeling on them can show you unseen results. Visualizing ranking data is one of the strategies you can use to make your data 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\/12\/How-to-Visualize-Ranking-Data.jpg\" alt=\"How to Visualize Ranking Data\"><\/div>\n<div style=\"text-align: center;\">Visualization Source: ChartExpo<\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGMrUEU2Nzgr\" 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\/2023\/10\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGMrUEU2Nzgr\" 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\/2023\/10\/CTA-in-google-sheets.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytwYitwcGMrUFBDUEJJNjc4K1NhbmtleSs=\" 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\/2023\/10\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/a><\/div>\n<p>Our brains are engineered to recognize rank in visual content instantly. We recommend using ranking data visualization charts to create compelling narratives for your audiences (and readers).<\/p>\n<p><em>Why?<\/em><\/p>\n<p>The ranking data charts display insights in a particular order. And it can either be bottom-up or the other way around.<\/p>\n<p>In this blog, you\u2019ll learn the following:<\/p>\n<h3>Table of Content:<\/h3>\n<ol>\n<li><a href=\"#what-is-rank-data\">What is Rank Data?<\/a><\/li>\n<li><a href=\"#visualize-ranking-data-importance\">Why is it Important to Visualize Ranking Data?<\/a><\/li>\n<li><a href=\"#top-6-charts-to-visualize-ranking-data\">Top 6 Charts to Visualize Ranking Data<\/a><\/li>\n<li><a href=\"#how-to-visualize-ranking-data\">How to Visualize Ranking Data?<\/a>\n<ul>\n<li><a href=\"#visualize-ranking-data-in-excel\">How to Visualize Ranking Data in Excel With Examples?<\/a><\/li>\n<li><a href=\"#visualize-ranking-data-in-google-sheets\">How to Visualize Ranking Data in Google Sheets With Example?<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#challenges-for-visualizing-ranking-data\">Challenges For Visualizing Ranking Data<\/a><\/li>\n<li><a href=\"#best-practices-for-visualizing-ranking-data\">Best Practices For Presenting a Ranking Data<\/a><\/li>\n<li><a href=\"#how-to-visualize-ranking-data-faqs\">How to Visualize Ranking Data FAQs<\/a><\/li>\n<li><a href=\"#wrap-up\">Wrap Up<\/a><\/li>\n<\/ol>\n<p>Before we delve right into the how-to guide, let\u2019s understand what is rank data first.<\/p>\n<h2 id=\"what-is-rank-data\">What is Rank Data?<\/h2>\n<p><strong>Definition<\/strong>: Rank Data is a type of data that indicates the relative position or order of items based on a specific attribute, without reflecting the magnitude of difference between them. It is commonly used to show preferences, performance, or priorities in an ordinal format.<\/p>\n<h2 id=\"visualize-ranking-data-importance\">Why is it Important to Visualize Ranking Data?<\/h2>\n<p>Visualizing ranking data with reliable accuracy can help you identify trends, patterns, outliers, and anomalies among the data points.<\/p>\n<p>Data is arguably more important than it was decades ago.<\/p>\n<p>Businesses worldwide are increasingly leveraging data to understand the needs and preferences of their target markets. Besides, we\u2019re generating data at an unprecedented rate.<\/p>\n<p>For instance, if your website is tagged, you can easily check the behavior of the visitors and optimize drop-off areas.<\/p>\n<p>It\u2019s through <a href=\"https:\/\/ppcexpo.com\/blog\/data-analysis-guide\" target=\"_blank\" rel=\"noopener\">data analysis<\/a> that you get a 360\u00b0 view of all aspects related to your customers, such as:<\/p>\n<ul>\n<li><em>Attribution channels<\/em><\/li>\n<li><em>Demographics<\/em><\/li>\n<li><em>Interests and habits<\/em><\/li>\n<li><em>Purchasing behaviors<\/em><\/li>\n<li><em>Satisfaction levels<\/em><\/li>\n<\/ul>\n<p>The insights you gain from the\u00a0data analysis\u00a0process can help optimize problematic areas for more success. Besides, you can easily personalize your marketing messages to resonate more with the target verticals.<\/p>\n<p><strong><em>Below are the benefits of Ranking data visualization.<\/em><\/strong><\/p>\n<ul>\n<li>\n<h3>Inspires innovation<\/h3>\n<\/li>\n<\/ul>\n<p>With a solid <a href=\"https:\/\/ppcexpo.com\/blog\/data-visualization-guide\" target=\"_blank\" rel=\"noopener\">data visualization process<\/a>, you can easily re-design your products or services to meet the needs of your target market. Also, it can make your offers more appealing to the market.<\/p>\n<p>Innovation is driven by the insights extracted from raw data.<\/p>\n<ul>\n<li>\n<h3>Quick Action<\/h3>\n<\/li>\n<\/ul>\n<p>Whether you run an online or offline business, data visualization can help you draw a solid and reliable marketing strategy.<\/p>\n<p>Essentially, you can target the right audiences with offers that resonate with their needs. Most companies use ways of data analysis to\u00a0optimize their marketing campaigns.<\/p>\n<ul>\n<li>\n<h3>Spot Errors and Outliers<\/h3>\n<\/li>\n<\/ul>\n<p>One of the tested and proven ways of displaying errors, anomalies, and outliers is\u00a0data visualization designs.<\/p>\n<ul>\n<li>\n<h3>Understanding the Story<\/h3>\n<\/li>\n<\/ul>\n<p>Data visualization designs are tested and proven backdrops for stories. In other words, you can <a href=\"https:\/\/ppcexpo.com\/blog\/types-of-charts-and-graphs\" target=\"_blank\" rel=\"noopener\">use charts and graphs<\/a> in place of tables to create persuasive data stories for your clients.<\/p>\n<ul>\n<li>\n<h3>Source of Business Intelligence<\/h3>\n<\/li>\n<\/ul>\n<p>To compete effectively with other players in your niche, you need reliable data about their actions. Yes, you read that right. And how can you make sense of the aforementioned data? If your answer is visualization, you guessed right.<\/p>\n<ul>\n<li>\n<h3>Latest Trends<\/h3>\n<\/li>\n<\/ul>\n<p>Online users\u2019 tastes and preferences change frequently.\u00a0<a href=\"https:\/\/ppcexpo.com\/blog\/types-of-data-visualization-charts\">Data visualization charts<\/a>\u00a0can help you respond proactively to changes in tastes and preferences of the market.<\/p>\n<p>How to visualize ranking data should never throw a curveball at you. Keep reading to discover more.<\/p>\n<p>Benefits of Using the above Visualizations to Present Ranking Data<\/p>\n<ul>\n<li>\n<h3>Quick Analysis<\/h3>\n<\/li>\n<\/ul>\n<p>Visualization tools make it amazingly easy for you to extract answers from your data to create compelling stories for investors.<\/p>\n<p>The chart above has distilled the expansive table into low-hanging insights for everyone to pick, irrespective of their background.<\/p>\n<p>Imagine using the tables and spreadsheets to explain emerging patterns and other significant insights to your audience.<em>\u00a0How would they respond? Would you get buy-in after presenting the table to them?<\/em><\/p>\n<ul>\n<li>\n<h3>Data Storytelling<\/h3>\n<\/li>\n<\/ul>\n<p>The reason why we visualize data is to <a href=\"https:\/\/ppcexpo.com\/blog\/data-storytelling\" target=\"_blank\" rel=\"noopener\">create data stories<\/a>. Remember, poring over numbers in spreadsheets is monotonous, especially if you\u2019re in front of an audience. People love stories<em>.<\/em>\u00a0Yes, and this is because they appeal to emotions.<\/p>\n<p>We hope you\u2019re noting the\u00a0importance of data visualization, especially in creating data narratives.<em>\u00a0<\/em><\/p>\n<ul>\n<li>\n<h3>Empowers Quick Action<\/h3>\n<\/li>\n<\/ul>\n<p>As we said earlier, our brains grasp visual content, such as graphs and maps, 60,000 times faster than table reports. This means a compelling data story loaded with easy-to-interpret<em>\u00a0charts<\/em>\u00a0can empower quicker <a href=\"https:\/\/ppcexpo.com\/blog\/data-driven-decision-making\" target=\"_blank\" rel=\"noopener\">decision-making<\/a>.<\/p>\n<ul>\n<li>\n<h3>Patterns and Trends<\/h3>\n<\/li>\n<\/ul>\n<p>Bulky data provides unlimited opportunities for businesses to extract\u00a0actionable insights. Yes, insights that could spell the difference between you and the competition.<\/p>\n<p>Visualizing data helps pinpoint\u00a0<em>relationships and patterns<\/em>\u00a0between metrics. Exploring these patterns enables you to save immense resources, such as time, by focusing only on areas that need urgent action.<\/p>\n<h2 id=\"top-6-charts-to-visualize-ranking-data\">Top 6 Charts to Visualize Ranking Data<\/h2>\n<p>If you are bored with a simple Horizontal or Vertical Bar Chart then you are in the right place. Because there are many ways to visualize present ranked data. You will learn how to visualize or present ranking data with the help of the following best visualizations:<\/p>\n<ul>\n<li>Sequence Chart(Ordered Squares Chart)<\/li>\n<li><em>Slope Chart<\/em><\/li>\n<li><em>Pareto Chart<\/em><\/li>\n<li><em>Likert Scale Chart<\/em><\/li>\n<li><em>Stacked Column Chart<\/em><\/li>\n<li>Sankey Chart<\/li>\n<\/ul>\n<p>You might be thinking where can you find these charts? If you\u2019re an ardent user of spreadsheet applications like Excel or Google Sheets, you\u2019ve got to explore advanced visualization add-ons.<\/p>\n<p>You can download and install a particular add-on to access all the ranking data charts and more amazing visualization.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGMrUEU2Nzgr\" 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\/2023\/10\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGMrUEU2Nzgr\" 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\/2023\/10\/CTA-in-google-sheets.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytwYitwcGMrUFBDUEJJNjc4K1NhbmtleSs=\" 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\/2023\/10\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/a><\/div>\n<p>Keep reading to learn more about how to visualize ranking data.<\/p>\n<h2 id=\"how-to-visualize-ranking-data\">How to Visualize Ranking Data?<\/h2>\n<p>Excel and Google Sheets are the top of the go-to\u00a0<a href=\"https:\/\/ppcexpo.com\/blog\/data-visualization-tools\">data visualization tools<\/a>\u00a0for businesses and professionals.<\/p>\n<p>However, this freemium spreadsheet tool does not natively support some of the charts for displaying rank, such as Sankey, Likert, and Slope visualization designs, etc.<\/p>\n<p>Well, you don\u2019t have to do away with the spreadsheet tools.<\/p>\n<p>You can turn Excel and Google Sheets into a reliable\u00a0data visualization\u00a0tool loaded with ready-made rank-based graphs, such as Sloped, Stacked Column, and Likert Charts by installing ChartExpo.<\/p>\n<p>Tested and Proven Charts for Presenting Ranking Data in Excel and Google Sheets<\/p>\n<p>Let\u2019s have some examples to understand the visualization of ranking data.<\/p>\n<h3 id=\"visualize-ranking-data-in-excel\">How to Visualize Ranking Data in Excel?<\/h3>\n<h4>Example #1: Sequence Chart (Ordered Squares Chart)<\/h4>\n<p>If you are not into using simple bar charts then the Ordered Squares Chart is the best option to present your data based on the ranking.<\/p>\n<p>Let\u2019s take a look at the following data can you guess at a first look which website has top traffic and which is on second, and so on?<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td><strong>Website<\/strong><\/td>\n<td><strong>Traffic(Million)<\/strong><\/td>\n<\/tr>\n<tr>\n<td>zoom.us<\/td>\n<td>150<\/td>\n<\/tr>\n<tr>\n<td>bestbuy.com<\/td>\n<td>149<\/td>\n<\/tr>\n<tr>\n<td>uber.com<\/td>\n<td>146<\/td>\n<\/tr>\n<tr>\n<td>instagram.com<\/td>\n<td>956<\/td>\n<\/tr>\n<tr>\n<td>chase.com<\/td>\n<td>197<\/td>\n<\/tr>\n<tr>\n<td>bing.com<\/td>\n<td>995<\/td>\n<\/tr>\n<tr>\n<td>wikipedia.org<\/td>\n<td>956<\/td>\n<\/tr>\n<tr>\n<td>twitter.com<\/td>\n<td>831<\/td>\n<\/tr>\n<tr>\n<td>ups.com<\/td>\n<td>156<\/td>\n<\/tr>\n<tr>\n<td>yelp.com<\/td>\n<td>187<\/td>\n<\/tr>\n<tr>\n<td>fedex.com<\/td>\n<td>151<\/td>\n<\/tr>\n<tr>\n<td>fandom.com<\/td>\n<td>680<\/td>\n<\/tr>\n<tr>\n<td>spotify.com<\/td>\n<td>202<\/td>\n<\/tr>\n<tr>\n<td>walmart.com<\/td>\n<td>625<\/td>\n<\/tr>\n<tr>\n<td>indeed.com<\/td>\n<td>610<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Of course, it will be difficult to point out by looking at the table. But by using the Ordered Squares Chart or Sequence Chart provided by ChartExpo you can have a unique visualization in no time.<\/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\/09\/how-to-visualize-ranking-data-1.jpg\" alt=\"\"><\/div>\n<p style=\"text-align: center; font-size: 12px;\">Visualization Source: ChartExpo<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGMrNjgxKw==\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/09\/how-to-visualize-ranking-data-button-3.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGMrNjgxKw==\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/09\/how-to-visualize-ranking-data-button-4.jpg\" alt=\"\"><\/a><\/div>\n<p>The above visualization easily shows at first look that top top-ranked site is Bing.com on second number is Instagram.com and on least ranked is uber.com.<\/p>\n<p>So how simple is this to have a unique and amazing chart to show your ranked data? If you like this visualization you can install ChartExpo by clicking below and test with your data.<\/p>\n<ul>\n<li>Once it is installed in your Excel, you will find this add-on in the My Apps section under the Insert menu.<\/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\/09\/how-to-visualize-ranking-data-2.jpg\" alt=\"\"><\/div>\n<ul>\n<li>Select\u00a0<strong>ChartExpo<\/strong>\u00a0add-in and click the\u00a0<strong>Insert\u00a0<\/strong>button.<\/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\/09\/how-to-visualize-ranking-data-3.jpg\" alt=\"\"><\/div>\n<ul>\n<li>Once the interface below loads, you will see the list of 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\/09\/how-to-visualize-ranking-data-4.jpg\" alt=\"\"><\/div>\n<ul>\n<li>You can find the Sequence Chart in the list and click on it. After that, you can paste your data into the sheet, select the data, and click on Create Chart From Selection.<\/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\/09\/how-to-visualize-ranking-data-5.jpg\" alt=\"\"><\/div>\n<ul>\n<li>In no time your visualization will be ready.<\/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\/09\/how-to-visualize-ranking-data-6.jpg\" alt=\"\"><\/div>\n<ul>\n<li>You can further explore the edit properties of this chart to bring changes according to your needs.<\/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\/09\/how-to-visualize-ranking-data-7.jpg\" alt=\"\"><\/div>\n<p>Keep reading to have a look at more examples to convert your rank data into beautiful visualizations with very easy steps by using the ChartExpo library.<\/p>\n<h4>Example #2: Slope Chart<\/h4>\n<p><a href=\"https:\/\/ppcexpo.com\/blog\/slope-chart-in-excel\">Slope Charts<\/a>\u00a0are simple graphs that quickly and directly show\u00a0<strong>transitions, changes over time, absolute values, and even rankings.\u00a0<\/strong>Besides, they\u2019re also called Slope Graphs.<\/p>\n<p>You can use this chart to show the before and after story of variables in your data.<\/p>\n<p>Slope Graphs can be useful when you have two time periods or points of comparison and want to show relative increases and decreases quickly across various categories between two data points. Take a look at the table below, you have data on cities ranked by tourists in different years.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"291\"><strong>Years<\/strong><\/td>\n<td width=\"178\"><strong>Cities<\/strong><\/td>\n<td width=\"230\"><strong>Rank<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"291\">1999<\/td>\n<td width=\"178\">Rome<\/td>\n<td width=\"230\">4.2<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2009<\/td>\n<td width=\"178\">Rome<\/td>\n<td width=\"230\">5.3<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2019<\/td>\n<td width=\"178\">Rome<\/td>\n<td width=\"230\">8.7<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">1999<\/td>\n<td width=\"178\">Honolulu<\/td>\n<td width=\"230\">5.2<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2009<\/td>\n<td width=\"178\">Honolulu<\/td>\n<td width=\"230\">6.8<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2019<\/td>\n<td width=\"178\">Honolulu<\/td>\n<td width=\"230\">7.1<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">1999<\/td>\n<td width=\"178\">Paris<\/td>\n<td width=\"230\">3.5<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2009<\/td>\n<td width=\"178\">Paris<\/td>\n<td width=\"230\">7.3<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2019<\/td>\n<td width=\"178\">Paris<\/td>\n<td width=\"230\">6.8<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">1999<\/td>\n<td width=\"178\">NYC<\/td>\n<td width=\"230\">0.6<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2009<\/td>\n<td width=\"178\">NYC<\/td>\n<td width=\"230\">2.4<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2019<\/td>\n<td width=\"178\">NYC<\/td>\n<td width=\"230\">6.3<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">1999<\/td>\n<td width=\"178\">Sydney<\/td>\n<td width=\"230\">1.2<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2009<\/td>\n<td width=\"178\">Sydney<\/td>\n<td width=\"230\">1.3<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2019<\/td>\n<td width=\"178\">Sydney<\/td>\n<td width=\"230\">5.5<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">1999<\/td>\n<td width=\"178\">London<\/td>\n<td width=\"230\">0.9<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2009<\/td>\n<td width=\"178\">London<\/td>\n<td width=\"230\">3.4<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2019<\/td>\n<td width=\"178\">London<\/td>\n<td width=\"230\">4.7<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">1999<\/td>\n<td width=\"178\">San Diego<\/td>\n<td width=\"230\">0.6<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2009<\/td>\n<td width=\"178\">San Diego<\/td>\n<td width=\"230\">1.3<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2019<\/td>\n<td width=\"178\">San Diego<\/td>\n<td width=\"230\">3.4<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">1999<\/td>\n<td width=\"178\">Orlando<\/td>\n<td width=\"230\">0.9<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2009<\/td>\n<td width=\"178\">Orlando<\/td>\n<td width=\"230\">2.7<\/td>\n<\/tr>\n<tr>\n<td width=\"291\">2019<\/td>\n<td width=\"178\">Orlando<\/td>\n<td width=\"230\">2.7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Can you provide a coherent story about the data above?<\/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\/09\/how-to-visualize-ranking-data-8.jpg\" alt=\"\"><\/div>\n<p style=\"text-align: center; font-size: 12px;\">Visualization Source: ChartExpo<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGMrNjgxKw==\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/09\/how-to-visualize-ranking-data-button-5.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGMrNjgxKw==\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/09\/how-to-visualize-ranking-data-button-6.jpg\" alt=\"\"><\/a><\/div>\n<p><em>Note the difference after visualizing the data.<\/em><\/p>\n<p>In 1999, the best-rated city was Honolulu, followed by Rome. However, Honolulu was outperformed by Paris in 2009. Rome took over the spot ten years later, followed by the Honolulu.<\/p>\n<p>Have you installed ChartExpo? If not you can click below any of the add-ons of your choice.<\/p>\n<h4>Example #3: Pareto Chart<\/h4>\n<p><a href=\"https:\/\/ppcexpo.com\/blog\/pareto-chart\" target=\"_blank\" rel=\"noopener\">Pareto Chart<\/a> is a bar chart but its main purpose is to bring attention to the improvement in your process by looking at the visualization at first look.<\/p>\n<p>So why draw ranking data with a simple bar chart when you can have a Pareto Chart to show you more analysis on the same <a href=\"https:\/\/ppcexpo.com\/blog\/bar-chart\" target=\"_blank\" rel=\"noopener\">bar chart visualization<\/a>?<\/p>\n<p>Take a look at the following data in which orders from different cities are recorded. You need to find out which city is on top and which is on second and so on.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td><strong>City<\/strong><\/td>\n<td><strong>Orders<\/strong><\/td>\n<\/tr>\n<tr>\n<td>New York<\/td>\n<td>540<\/td>\n<\/tr>\n<tr>\n<td>Chicago<\/td>\n<td>550<\/td>\n<\/tr>\n<tr>\n<td>San Francisco<\/td>\n<td>415<\/td>\n<\/tr>\n<tr>\n<td>Los Angeles<\/td>\n<td>572<\/td>\n<\/tr>\n<tr>\n<td>Seattle<\/td>\n<td>193<\/td>\n<\/tr>\n<tr>\n<td>Boston<\/td>\n<td>50<\/td>\n<\/tr>\n<tr>\n<td>Phoenix<\/td>\n<td>497<\/td>\n<\/tr>\n<tr>\n<td>Atlanta<\/td>\n<td>215<\/td>\n<\/tr>\n<tr>\n<td>Philadelphia<\/td>\n<td>489<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The above table is randomly ordered. You don\u2019t need to change anything. <a href=\"https:\/\/ppcexpo.com\/blog\/how-to-create-pareto-chart-in-excel\" target=\"_blank\" rel=\"noopener\">Pareto Chart<\/a> by ChartExpo will automatically sort the data while drawing the visualization.<\/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\/09\/how-to-visualize-ranking-data-9.jpg\" alt=\"\"><\/div>\n<p style=\"text-align: center; font-size: 12px;\">Visualization Source: ChartExpo<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGMrNjgxKw==\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/09\/how-to-visualize-ranking-data-button-5.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGMrNjgxKw==\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/09\/how-to-visualize-ranking-data-button-6.jpg\" alt=\"\"><\/a><\/div>\n<p>You can easily find out that top top-ranked city is Los Angeles, after that Chicago, and last is Boston. Moreover, the line separating and shaded blue area shows those that need attention.<\/p>\n<h4>Example #4: Likert Scale Chart<\/h4>\n<p>A Likert Scale you can use to collect\u00a0<em>attitudes and opinions<\/em>\u00a0of your target market.<\/p>\n<p>The visualization design can help you understand the views and perspectives of the market towards your brand. The\u00a0<a href=\"https:\/\/ppcexpo.com\/blog\/how-to-present-likert-scale-data\" target=\"_blank\" rel=\"noopener\">Likert Scale analyses<\/a> come in different variants to help your business personalize its communication, among other benefits.<\/p>\n<p>The Likert Scale measures the qualitative data (opinions and sentiments) by categorically assigning value. In other words, responses are measured based on their disagreement or agreement level.<\/p>\n<p>The chart is based on the rationale that the strength and intensity of the respondents\u2019 answers are linear. More so, they can be measured on a scale ranging from a complete agreement to a total disagreement. You can use various topics (general and specific questions) to probe respondents about their level of agreement, perceptions, or beliefs towards your brand.<\/p>\n<p>This section will use the\u00a0<a href=\"https:\/\/ppcexpo.com\/blog\/likert-scale-examples\" target=\"_blank\" rel=\"noopener\">Likert Scale<\/a>\u00a0to display insights into the table below. Ranking 1 means not satisfied and Ranking 5 means satisfied<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td><strong>Questions<\/strong><\/td>\n<td><strong>Rating\/Ranking<\/strong><\/td>\n<td><strong>Responded<\/strong><\/td>\n<\/tr>\n<tr>\n<td>How do you rate our restaurant?<\/td>\n<td>1<\/td>\n<td>120<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our restaurant?<\/td>\n<td>2<\/td>\n<td>46<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our restaurant?<\/td>\n<td>3<\/td>\n<td>312<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our restaurant?<\/td>\n<td>4<\/td>\n<td>220<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our restaurant?<\/td>\n<td>5<\/td>\n<td>127<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our welcome drink?<\/td>\n<td>1<\/td>\n<td>150<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our welcome drink?<\/td>\n<td>2<\/td>\n<td>140<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our welcome drink?<\/td>\n<td>3<\/td>\n<td>30<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our welcome drink?<\/td>\n<td>4<\/td>\n<td>40<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our welcome drink?<\/td>\n<td>5<\/td>\n<td>129<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our staff?<\/td>\n<td>1<\/td>\n<td>75<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our staff?<\/td>\n<td>2<\/td>\n<td>80<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our staff?<\/td>\n<td>3<\/td>\n<td>120<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our staff?<\/td>\n<td>4<\/td>\n<td>32<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our staff?<\/td>\n<td>5<\/td>\n<td>110<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our cleanliness?<\/td>\n<td>1<\/td>\n<td>50<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our cleanliness?<\/td>\n<td>2<\/td>\n<td>40<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our cleanliness?<\/td>\n<td>3<\/td>\n<td>90<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our cleanliness?<\/td>\n<td>4<\/td>\n<td>150<\/td>\n<\/tr>\n<tr>\n<td>How do you rate our cleanliness?<\/td>\n<td>5<\/td>\n<td>200<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>So by using the ChartExpo library the above-ranking data is beautifully converted to awesome visualization.<\/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\/09\/how-to-visualize-ranking-data-10.jpg\" alt=\"\"><\/div>\n<p style=\"text-align: center; font-size: 12px;\">Visualization Source: ChartExpo<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGMrUEU2Nzgr\" 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\/2023\/10\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGMrUEU2Nzgr\" 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\/2023\/10\/CTA-in-google-sheets.jpg\" alt=\" https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytwYitwcGMrUFBDUEJJNjc4K0xpa2VydCs=\" width=\"205\" height=\"113\"><\/a><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\" https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/10\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/div>\n<p>In the above visualization you not only see feedback and respondents count but also the percentage of each along with unique colors. Red color shows negative feedback while green for positive feedback. Neutrals are highlighted with gray. Moreover, emojis(icon faces) add the cherry on top to this visualization.<\/p>\n<h4>Example #5: Stacked Column Chart<\/h4>\n<p>A\u00a0<a href=\"https:\/\/ppcexpo.com\/blog\/stacked-column-chart-with-two-sets-of-data\">Stacked Column Chart<\/a>\u00a0is a variant of the bar or column graphs. You can use the chart to compare totals across key categories in your data.<\/p>\n<p>Take a look at the table below.<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td><strong>Rankings<\/strong><\/td>\n<td><strong>Salad<\/strong><\/td>\n<td><strong>Pizza<\/strong><\/td>\n<td><strong>Ice Cream<\/strong><\/td>\n<td><strong>Grilled Beef<\/strong><\/td>\n<td><strong>Soup<\/strong><\/td>\n<td><strong>Sandwich<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Rank-1<\/td>\n<td>200<\/td>\n<td>230<\/td>\n<td>95<\/td>\n<td>25<\/td>\n<td>25<\/td>\n<td>25<\/td>\n<\/tr>\n<tr>\n<td>Rank-2<\/td>\n<td>230<\/td>\n<td>140<\/td>\n<td>90<\/td>\n<td>55<\/td>\n<td>55<\/td>\n<td>30<\/td>\n<\/tr>\n<tr>\n<td>Rank-3<\/td>\n<td>70<\/td>\n<td>130<\/td>\n<td>105<\/td>\n<td>100<\/td>\n<td>105<\/td>\n<td>90<\/td>\n<\/tr>\n<tr>\n<td>Rank-4<\/td>\n<td>50<\/td>\n<td>65<\/td>\n<td>100<\/td>\n<td>175<\/td>\n<td>100<\/td>\n<td>110<\/td>\n<\/tr>\n<tr>\n<td>Rank-5<\/td>\n<td>15<\/td>\n<td>35<\/td>\n<td>170<\/td>\n<td>170<\/td>\n<td>100<\/td>\n<td>110<\/td>\n<\/tr>\n<tr>\n<td>Rank-6<\/td>\n<td>35<\/td>\n<td>30<\/td>\n<td>60<\/td>\n<td>165<\/td>\n<td>120<\/td>\n<td>190<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Can you provide a reliable story of what is going on?<\/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\/09\/how-to-visualize-ranking-data-11.jpg\" alt=\"\"><\/div>\n<p style=\"text-align: center; font-size: 12px;\">Visualization Source: ChartExpo<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGMrNjgxKw==\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/09\/how-to-visualize-ranking-data-button-7.jpg\" alt=\"\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGMrNjgxKw==\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 70%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/09\/how-to-visualize-ranking-data-button-8.jpg\" alt=\"\"><\/a><\/div>\n<p><strong>Note:<\/strong>\u00a0the difference after visualizing the table above.<\/p>\n<p>You can easily find the breakdown of ranking in this visualization. E.g. 200 people ranked salad at number 1 while 35 people ranked salad at number 6. Similarly, it goes with others like 495 people ranked ice cream at number 1 while 60 people ranked it at number 6.<\/p>\n<p>How to visualize ranking data does not have to be time-consuming. Keep reading to discover more.<\/p>\n<h4>Example #6: Sankey Chart<\/h4>\n<p>If you have to use simple ordinal data then you must go for a simple bar or sequence chart. But if you have <a href=\"https:\/\/ppcexpo.com\/blog\/hierarchical-data-visualization\" target=\"_blank\" rel=\"noopener\">hierarchical data<\/a> and want to have data visualization based on ranking in ascending or descending way then Sankey is a good choice to use.<\/p>\n<p>Let\u2019s take a look at the following hypothetical data:<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td><strong>Companies<\/strong><\/td>\n<td><strong>Countries<\/strong><\/td>\n<td><strong>Models<\/strong><\/td>\n<td><strong>Unit Sold<\/strong><\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>USA<\/td>\n<td>Corolla<\/td>\n<td>7973<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>UK<\/td>\n<td>Corolla<\/td>\n<td>8701<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>Canada<\/td>\n<td>Corolla<\/td>\n<td>2062<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>USA<\/td>\n<td>C-HR<\/td>\n<td>7164<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>UK<\/td>\n<td>C-HR<\/td>\n<td>7381<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>Canada<\/td>\n<td>C-HR<\/td>\n<td>3594<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>USA<\/td>\n<td>Camry<\/td>\n<td>3371<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>UK<\/td>\n<td>Camry<\/td>\n<td>8984<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>Canada<\/td>\n<td>Camry<\/td>\n<td>1850<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>USA<\/td>\n<td>Crown<\/td>\n<td>3625<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>UK<\/td>\n<td>Crown<\/td>\n<td>7395<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>Canada<\/td>\n<td>Crown<\/td>\n<td>6320<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>USA<\/td>\n<td>GR Yaris<\/td>\n<td>9251<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>UK<\/td>\n<td>GR Yaris<\/td>\n<td>2510<\/td>\n<\/tr>\n<tr>\n<td>Toyota<\/td>\n<td>Canada<\/td>\n<td>GR Yaris<\/td>\n<td>7164<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>USA<\/td>\n<td>CIVIC<\/td>\n<td>1040<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>UK<\/td>\n<td>CIVIC<\/td>\n<td>9144<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>Canada<\/td>\n<td>CIVIC<\/td>\n<td>1353<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>USA<\/td>\n<td>Accord<\/td>\n<td>8992<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>UK<\/td>\n<td>Accord<\/td>\n<td>4716<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>Canada<\/td>\n<td>Accord<\/td>\n<td>2203<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>USA<\/td>\n<td>CR-V<\/td>\n<td>8568<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>UK<\/td>\n<td>CR-V<\/td>\n<td>9261<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>Canada<\/td>\n<td>CR-V<\/td>\n<td>1880<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>USA<\/td>\n<td>VEZEL (HR-V)<\/td>\n<td>9583<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>UK<\/td>\n<td>VEZEL (HR-V)<\/td>\n<td>3206<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>Canada<\/td>\n<td>VEZEL (HR-V)<\/td>\n<td>1153<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>USA<\/td>\n<td>Fit Jazz<\/td>\n<td>8918<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>UK<\/td>\n<td>Fit Jazz<\/td>\n<td>6056<\/td>\n<\/tr>\n<tr>\n<td>Honda<\/td>\n<td>Canada<\/td>\n<td>Fit Jazz<\/td>\n<td>4308<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>USA<\/td>\n<td>Versa<\/td>\n<td>1243<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>UK<\/td>\n<td>Versa<\/td>\n<td>9157<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>Canada<\/td>\n<td>Versa<\/td>\n<td>6439<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>USA<\/td>\n<td>Sentra<\/td>\n<td>9142<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>UK<\/td>\n<td>Sentra<\/td>\n<td>5745<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>Canada<\/td>\n<td>Sentra<\/td>\n<td>7774<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>USA<\/td>\n<td>Altima<\/td>\n<td>6091<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>UK<\/td>\n<td>Altima<\/td>\n<td>7215<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>Canada<\/td>\n<td>Altima<\/td>\n<td>1053<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>USA<\/td>\n<td>Leaf<\/td>\n<td>4381<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>UK<\/td>\n<td>Leaf<\/td>\n<td>4030<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>Canada<\/td>\n<td>Leaf<\/td>\n<td>5777<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>USA<\/td>\n<td>Maxima<\/td>\n<td>6149<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>UK<\/td>\n<td>Maxima<\/td>\n<td>9787<\/td>\n<\/tr>\n<tr>\n<td>Nissan<\/td>\n<td>Canada<\/td>\n<td>Maxima<\/td>\n<td>3525<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Can you guess from the above data which Car company is top selling order? Which car brands are more sold, which one is one on the second number? Which country is on top either the USA or the UK in terms of selling cars?<\/p>\n<p>Below the <a href=\"https:\/\/ppcexpo.com\/blog\/sankey-diagram\">Sankey chart<\/a> is the visualization of the above data. As you may notice below visualization is all nodes are sorted according to their rankings (sales orders on top)<\/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\/09\/how-to-visualize-ranking-data-12.jpg\" alt=\"\"><\/div>\n<div style=\"text-align: center;\">Visualization Source: ChartExpo<\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGMrUEU2Nzgr\" 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\/2023\/10\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGMrUEU2Nzgr\" 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\/2023\/10\/CTA-in-google-sheets.jpg\" alt=\" https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytwYitwcGMrUFBDUEJJNjc4K1NhbmtleSs=\" width=\"205\" height=\"113\"><\/a><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\" https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/10\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/div>\n<p>Now, we will show you how you can create a Sankey Chart with a few clicks on Google Sheets. If you have not installed the Google Sheets extension yet you can simply install it by clicking below.<\/p>\n<h3 id=\"visualize-ranking-data-in-google-sheets\">How to Visualize Ranking Data in Google Sheets?<\/h3>\n<ul>\n<li>Once it is installed now open your Google Sheets application.<\/li>\n<li>Open the worksheet and click the\u00a0<strong>Extensions <\/strong><\/li>\n<li>Then go to <strong>Charts, Graphs, &amp; Visualizations by ChartExpo.<\/strong> (If you don\u2019t have ChartExpo. You can install it, add-on for Google Sheets from this link.)<\/li>\n<li>Finally, click the<strong> Open <\/strong>button in the dropdown.<\/li>\n<\/ul>\n<p><img decoding=\"async\" class=\"alignnone size-full wp-image-4345 aligncenter\" style=\"max-width: 100%;\" src=\"https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2022\/09\/how-to-visualize-ranking-data-13.jpg\" alt=\"\"><\/p>\n<ul>\n<li>Click the <strong>Add New Chart <\/strong>button to access your fully stocked library of 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\/09\/how-to-visualize-ranking-data-14.jpg\" alt=\"\"><\/div>\n<ul>\n<li>Once <strong>ChartExpo<\/strong> is loaded, you will see a list of charts. Look for \u201c<strong>Sankey Chart<\/strong>.\u201d<\/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\/09\/how-to-visualize-ranking-data-15.jpg\" alt=\"\"><\/div>\n<ul>\n<li>Select the sheet holding your data and select the <strong>Metrics <\/strong> Fill in the numerical numbers (in our case, we\u2019ll use <strong>Unit Sold<\/strong>).<\/li>\n<li>Select the <strong>Dimensions<\/strong> button and fill in the dimensional data (in our example, we\u2019ll use <strong>companies, countries, and models<\/strong>), as shown 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\/09\/how-to-visualize-ranking-data-16.jpg\" alt=\"\"><\/div>\n<ul>\n<li>Finish the simple process by clicking the <strong>Create Chart <\/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\/09\/how-to-visualize-ranking-data-17.jpg\" alt=\"\"><\/div>\n<ul>\n<li>Let\u2019s sort models level in descending order. You can do this by simply clicking on and looking for Level. Select \u201cBy metric (Unit Sold) DESC\u201d.<\/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\/09\/how-to-visualize-ranking-data-18.jpg\" alt=\"\"><\/div>\n<ul>\n<li>The levels of models are ranked as shown 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\/09\/how-to-visualize-ranking-data-19.jpg\" alt=\"\"><\/div>\n<ul>\n<li>Now, we will rank the level of countries. We will do the same as we did above.<\/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\/09\/how-to-visualize-ranking-data-20.jpg\" alt=\"\"><\/div>\n<ul>\n<li>Here levels of countries are ranked according to unit sold.<\/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\/09\/how-to-visualize-ranking-data-21.jpg\" alt=\"\"><\/div>\n<ul>\n<li>If you want to rank all levels of the chart. You can do this by selecting the <strong>Chart<\/strong> option in Sort Properties.<\/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\/09\/how-to-visualize-ranking-data-22.jpg\" alt=\"\"><\/div>\n<ul>\n<li>Now, all levels of the chart are ranked in descending order.<\/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\/09\/how-to-visualize-ranking-data-23.jpg\" alt=\"\"><\/div>\n<div style=\"text-align: center;\">Visualization Source: ChartExpo<\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZyt4bCtwcGMrUEU2Nzgr\" 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\/2023\/10\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytncytwcGMrUEU2Nzgr\" 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\/2023\/10\/CTA-in-google-sheets.jpg\" alt=\" https:\/\/chartexpo.com\/utmAction\/MTArYmxvZytwYitwcGMrUFBDUEJJNjc4K1NhbmtleSs=\" width=\"205\" height=\"113\"><\/a><img loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\" https:\/\/ppcexpo.com\/blog\/wp-content\/uploads\/2023\/10\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\"><\/div>\n<h2 id=\"challenges-for-visualizing-ranking-data\">Challenges For Visualizing Ranking Data<\/h2>\n<ol>\n<li><strong>Overcrowding<\/strong>: Displaying too many categories or ranks in one visualization can make the chart cluttered and difficult to interpret, leading to confusion.<\/li>\n<li><strong>Loss of Granularity<\/strong>: Ranking data often loses specific details about the individual values, making it hard to assess the full range of differences between items, especially when rankings are close.<\/li>\n<li><strong>Misleading Representations<\/strong>: Without careful design, ranking data can be misleading. For example, using the wrong type of chart, such as a pie chart, might not accurately reflect the relative scale of differences between ranks.<\/li>\n<li><strong>Changing Context<\/strong>: Rankings can change over time or across different contexts, which might make it challenging to visualize consistent comparisons. Ensuring clarity in dynamic data is crucial.<\/li>\n<li><strong>Subjectivity in Rankings<\/strong>: Rankings are often influenced by subjective criteria, and without clear context, they may mislead the audience or invite bias in interpretation. It\u2019s important to define ranking metrics clearly.<\/li>\n<\/ol>\n<h2 id=\"best-practices-for-visualizing-ranking-data\">Best Practices For Presenting a Ranking Data<\/h2>\n<div>\n<ol>\n<li><strong>Choose the Right Visualization<\/strong>: Use clear and intuitive charts, such as bar charts, Sankey diagrams, or ranked lists, to effectively convey ranking information.<\/li>\n<li><strong>Provide Context<\/strong>: Explain the criteria or time frame for the rankings to help the audience understand the significance behind the data.<\/li>\n<li><strong>Highlight Key Insights<\/strong>: Emphasize the most important rankings or shifts, making it easy for the audience to <a href=\"https:\/\/ppcexpo.com\/blog\/best-chart-to-show-trends-over-time\" target=\"_blank\" rel=\"noopener\">identify trends<\/a> or key takeaways.<\/li>\n<li><strong>Be Consistent with Ranking Order<\/strong>: Ensure rankings are displayed in a consistent order (highest to lowest or vice versa) throughout the presentation to avoid confusion.<\/li>\n<li><strong>Avoid Data Overload<\/strong>: Focus on presenting the most relevant rankings, such as top performers or significant changes, to maintain clarity and avoid overwhelming the audience.<\/li>\n<\/ol>\n<\/div>\n<h2 id=\"how-to-visualize-ranking-data-faqs\">How to Visualize Ranking Data FAQs<\/h2>\n<h3>How can you visualize ranking data in Google Sheets?<\/h3>\n<p>You may find a RANK function in Google Sheets but you may face difficulty in creating a good visualization of ranked data. If you are interested in having Sankey, Sequence, Likert, Pareto, Stacked Column Charts, and more. One of the options available is to plot the charts manually, which is time-intensive.<\/p>\n<p>You can supercharge your Google Sheets with third-party add-ons, such as ChartExpo, to access ready-made charts for displaying rank.<\/p>\n<h3>What are three reasons why data visualization is important?<\/h3>\n<ul>\n<li>Data visualization can help you absorb information quickly, and make critical decisions faster.<\/li>\n<li>You can use visualization designs, such as Likert, as the backdrop of your data stories.<\/li>\n<li>Charts and graphs are much easier to read and interpret than tables, even for non-technical audiences.<\/li>\n<\/ul>\n<h3>What is the best way to present rank survey data?<\/h3>\n<p>The Likert Chart provided by ChartExpo is the best way to present your survey data. This chart is available on different scales based on your data you can select the chart scale type and present your data in a meaningful way.<\/p>\n<h4 id=\"wrap-up\">Wrap Up:<\/h4>\n<p>Visualizing ranking data is a tested and proven strategy to make your data stories persuasive. Our brains are engineered to recognize rank in visual content instantly.<\/p>\n<p>We recommend using ranking data visualization charts to create compelling narratives for your audiences (and readers).<\/p>\n<p>The best-suited graphs for displaying rank insights include:<\/p>\n<ul>\n<li>Sequence Chart(Ordered Squares Chart)<\/li>\n<li><em>Slope Chart<\/em><\/li>\n<li><em>Pareto Chart<\/em><\/li>\n<li><em>Likert Scale Chart<\/em><\/li>\n<li><em>Stacked Column Chart<\/em><\/li>\n<li>Sankey Chart<\/li>\n<\/ul>\n<p>If you\u2019re an ardent user of the spreadsheet application, you\u2019ve got to explore other options with advanced visualizations.<\/p>\n<p><em>So, what\u2019s the solution?<\/em><\/p>\n<p>ChartExpo is an add-on you can easily download and install in your Google Sheets app. Besides, this tool comes loaded with ready-to-go charts for displaying rank, such as Likert and Stacked Column Charts.<\/p>\n<p>You don\u2019t need programming or coding skills to visualize your data using ChartExpo.<\/p>\n<p>As we said, how to visualize ranking data in Google Sheets should never be among your worries in data storytelling.<\/p>\n<p>Sign up for a 7-day free trial today to access easy-to-interpret and ready-made charts best-suited for displaying rank data.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><p>Click to learn how to visualize ranking data. We\u2019ll also address the following question: why is it important to accurately visualize the data?<\/p>\n&nbsp;&nbsp;<a href=\"https:\/\/ppcexpo.com\/blog\/how-to-visualize-ranking-data\"><\/a><\/p>","protected":false},"author":1,"featured_media":43718,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[887],"tags":[],"_links":{"self":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/23766"}],"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=23766"}],"version-history":[{"count":19,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/23766\/revisions"}],"predecessor-version":[{"id":45349,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/posts\/23766\/revisions\/45349"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/media\/43718"}],"wp:attachment":[{"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/media?parent=23766"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/categories?post=23766"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/ppcexpo.com\/blog\/wp-json\/wp\/v2\/tags?post=23766"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}