{"id":20193,"date":"2025-03-11T09:20:57","date_gmt":"2025-03-11T04:20:57","guid":{"rendered":"https:\/\/chartexpo.com\/blog\/?p=20193"},"modified":"2025-04-28T16:47:27","modified_gmt":"2025-04-28T11:47:27","slug":"how-to-visualize-qualitative-data","status":"publish","type":"post","link":"https:\/\/chartexpo.com\/blog\/how-to-visualize-qualitative-data","title":{"rendered":"How to Visualize Qualitative Data?"},"content":{"rendered":"<p>Extracting actionable insights from qualitative data is not easy.<\/p>\n<p>You can easily get overwhelmed, especially if the data is complex and bulky. It would help if you had a tool that can scan through the qualitative data to cherry-pick low-hanging insights.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/how-to-visualize-qualitative-data.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/how-to-visualize-qualitative-data.jpg\" alt=\"how to visualize qualitative data\" width=\"650\" \/><\/a><\/div>\n<p><em>This is where a Word Cloud Chart comes in.<\/em><\/p>\n<p>The chart uses simple text analysis to help you visualize and summarize qualitative data, such as customer feedback and search terms.<\/p>\n<p><em>So how can you access a Word Cloud Chart?<\/em><\/p>\n<p>You don&#8217;t have to do away with Google Sheets for other expensive tools. You can supercharge it by installing third-party add-ons to access an easy-to-use awesome Word Cloud Chart.<\/p>\n<p>In this blog, you&#8217;ll learn the following:<\/p>\n<h3>Table of Content:<\/h3>\n<ol>\n<li><a href=\"#what-is-qualitative-data\">What is Qualitative Data?<\/a><\/li>\n<li><a href=\"#understanding-qualitative-data-visualization\">Understanding Qualitative Data Visualization<\/a><\/li>\n<li><a href=\"#video-tutorials\">Video Tutorials: How to Create a Chart For Qualitative Data<\/a><\/li>\n<li><a href=\"#why-graphing-qualitative-data-is-important\">Why Graphing Qualitative Data is Important?<\/a><\/li>\n<li><a href=\"#different-sources-for-qualitative-data\">Different Sources For Qualitative Data<\/a><\/li>\n<li><a href=\"#top-6-methods-to-analyze-qualitative-data\">Top 6 Methods to Analyze Qualitative Data<\/a><\/li>\n<li><a href=\"#steps-to-present-qualitative-data\">Steps To Present Qualitative Data<\/a>\n<ul>\n<li><a href=\"#step-1-arrange-your-data\">Step #1: Arrange Your Data<\/a><\/li>\n<li><a href=\"#step-2-set-a-code-to-the-data-collected\">Step #2: Set a Code to the Data Collected<\/a><\/li>\n<li><a href=\"#step-3-validate-your-data\">Step #3: Validate Your Data<\/a><\/li>\n<\/ul>\n<\/li>\n<li><a href=\"#tools-for-creating-qualitative-visualizations\">Tools for Creating Qualitative Visualizations<\/a><\/li>\n<li><a href=\"#how-to-visualize-qualitative-data\">How to Visualize Qualitative Data?<\/a><\/li>\n<li><a href=\"#qualitative-data-visualization-examples\">Qualitative Data Visualization Examples<\/a><\/li>\n<li><a href=\"#advantages-of-visualizing-qualitative-data\">Advantages of Visualizing Qualitative Data<\/a><\/li>\n<li><a href=\"#best-practices-for-visualizing-qualitative-data\">Best Practices for Visualizing Qualitative Data<\/a><\/li>\n<li><a href=\"#how-to-visualize-qualitative-data-faqs\">How to Visualize Qualitative Data FAQs<\/a><\/li>\n<li><a href=\"#wrap-up\">Wrap Up<\/a><\/li>\n<\/ol>\n<h2 id=\"what-is-qualitative-data\">What is Qualitative Data?<\/h2>\n<p><strong>Definition:<\/strong> Qualitative data provides rich insights into human experiences. It&#8217;s a window into the intricate tapestry of thoughts, feelings, and behaviors. It&#8217;s non-numerical, focusing on meanings and contexts.<\/p>\n<p>Qualitative <a href=\"https:\/\/chartexpo.com\/blog\/data-interpretation\" target=\"_blank\" rel=\"noopener\">data interpretation<\/a> is subjective, considering emotions and nuances. Researchers immerse themselves in the data to identify patterns and themes. Then use the insights to inform decision-making.<\/p>\n<p><strong>Likert Scale Chart in Power BI for Qualitative Data<\/strong><\/p>\n<p><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/D9LSFb044wI?si=fkA50nes73xI7x1O\" width=\"650\" height=\"365\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><strong>Likert Scale Chart in Microsoft Excel for Qualitative Data<\/strong><\/p>\n<p style=\"text-align: center;\"><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/TxkWv9yvkGo?si=iB2LlaCBYrjOjQui\" width=\"650\" height=\"365\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<p><strong>Likert Scale Chart in Google Sheets for Qualitative Data<\/strong><\/p>\n<p style=\"text-align: center;\"><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/lH7ziZplqY0?si=Ktlqvq_oK8IxqH5w\" width=\"650\" height=\"365\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><\/iframe><\/p>\n<h2 id=\"understanding-qualitative-data-visualization\">Understanding Qualitative Data Visualization<\/h2>\n<p>Qualitative data can be observed and recorded.<\/p>\n<p>Besides, the data type is non-numerical, and it&#8217;s collected through methods such as observations, one-to-one interviews, and conducting focus groups. Qualitative data is categorical because it can be organized based on the attributes and properties of the data.<\/p>\n<p><a href=\"https:\/\/chartexpo.com\/blog\/data-visualization-tools\" target=\"_blank\" rel=\"noopener noreferrer\">Utilizing data visualization tools<\/a> can further enhance the analysis of qualitative data by categorizing and displaying these attributes visually, making the insights easier to interpret.<\/p>\n<p>We recommend tested and proven charts, such as Tag Cloud, to display insights into qualitative data, such as keywords or search terms.<\/p>\n<p><em>Take a look at the table below. <\/em><\/p>\n<p>How easy is it to tell a reliable <a href=\"https:\/\/chartexpo.com\/blog\/data-storytelling\" target=\"_blank\" rel=\"noopener\">data story<\/a> by simply looking at the chart?<\/p>\n<table class=\"static\" style=\"table-layout: fixed; overflow-x: auto; border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"359\"><strong>Feedback<\/strong><\/td>\n<td width=\"312\"><strong>No. of Feedback<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Good<\/td>\n<td width=\"312\">247<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Very Good<\/td>\n<td width=\"312\">499<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Super<\/td>\n<td width=\"312\">303<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Satisfactory<\/td>\n<td width=\"312\">105<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Acceptable<\/td>\n<td width=\"312\">415<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Bad<\/td>\n<td width=\"312\">435<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Worst<\/td>\n<td width=\"312\">191<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Normal<\/td>\n<td width=\"312\">382<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Substandard<\/td>\n<td width=\"312\">117<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Poor<\/td>\n<td width=\"312\">195<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Awful<\/td>\n<td width=\"312\">400<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Terrible<\/td>\n<td width=\"312\">390<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">distressing<\/td>\n<td width=\"312\">421<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">regretful<\/td>\n<td width=\"312\">345<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">unpleasant<\/td>\n<td width=\"312\">308<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">nasty<\/td>\n<td width=\"312\">193<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Good Taste<\/td>\n<td width=\"312\">125<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Recommended<\/td>\n<td width=\"312\">380<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Outstanding<\/td>\n<td width=\"312\">290<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Satisfactory<\/td>\n<td width=\"312\">391<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Note the difference after visualizing the data above. You can easily tell what&#8217;s going on. For instance, &#8216;satisfactory&#8217; and &#8216;very good&#8217; are widely repeated in the qualitative data.<\/p>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/how-to-display-qualitative-data.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/how-to-display-qualitative-data.jpg\" alt=\"what is qualitative data visualization\" width=\"500\" \/><\/a><\/div>\n<h2 id=\"video-tutorials\">Video Tutorials: How to Create a Chart For Qualitative Data<\/h2>\n<h3 id=\"qualitative-data-visualization\">Qualitative Data Analysis in Excel<\/h3>\n<p><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/Y9cdNR0VXR8?si=xrqb3RP2uNqpAyHC\" width=\"650\" height=\"365\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><\/iframe><\/p>\n<h3 id=\"qualitative-data-visualization\">Qualitative Data Analysis in Google Sheets<\/h3>\n<p><iframe title=\"YouTube video player\" src=\"https:\/\/www.youtube.com\/embed\/_QIPclK2LD8?si=7IF8lCwhFQM1Pcp5\" width=\"650\" height=\"365\" frameborder=\"0\" allowfullscreen=\"allowfullscreen\"><span data-mce-type=\"bookmark\" style=\"display: inline-block; width: 0px; overflow: hidden; line-height: 0;\" class=\"mce_SELRES_start\">\ufeff<\/span><\/iframe><\/p>\n<div>\n<h2 id=\"why-graphing-qualitative-data-is-important\">Why Graphing Qualitative Data is Important?<\/h2>\n<p>You can use the chart to understand your audience&#8217;s feelings about a topic or situation. Besides, you can leverage qualitative-based charts, such as <a href=\"https:\/\/chartexpo.com\/blog\/word-cloud\" target=\"_blank\" rel=\"noopener\">Word Cloud<\/a>, to display insights. Most data visualization experts use the chart to summarize the market feedback using first-hand data.<\/p>\n<ul>\n<li><strong>Quick and informative<\/strong><\/li>\n<\/ul>\n<p>You can easily get live feedback from your audience in real time.<\/p>\n<ul>\n<li><strong>Exciting and emotional \u00a0<\/strong><\/li>\n<\/ul>\n<p>The qualitative charts can help audiences feel part of your data story.<\/p>\n<ul>\n<li><strong>Engaging<\/strong><\/li>\n<\/ul>\n<p>The qualitative data-oriented visualization designs, such as a Word Cloud, are incredibly engaging and visually appealing to a majority of the audiences. The chart can be an icebreaker or an entry point for a topic of discussion.<\/p>\n<ul>\n<li><strong>Word Clouds are visual<\/strong><\/li>\n<\/ul>\n<p>Our brains process visual content 60,000 times faster than texts and numbers. This provides a logical rationale for using the Word Cloud generator to analyze your textual data for actionable insights.<\/p>\n<ul>\n<li><strong>Creating a text visualization is straightforward<\/strong><\/li>\n<\/ul>\n<p>Charts are easy to follow and serve as effective <a href=\"https:\/\/chartexpo.com\/blog\/text-visualization-tool\" target=\"_blank\" rel=\"noopener noreferrer\">text visualization tools<\/a>. Besides, they can provide you with insights into larger qualitative data sets.<\/p>\n<\/div>\n<h2 id=\"different-sources-for-qualitative-data\">Different Sources For Qualitative Data<\/h2>\n<p>Following sources you can consider to collect qualitative data.<\/p>\n<ul>\n<li>\n<h3>One-to-One Interviews<\/h3>\n<\/li>\n<\/ul>\n<p>One-on-one interviews are commonly used in gathering qualitative data due to the personal approach.<\/p>\n<p>You can easily collect data directly from respondents on a one-on-one basis. The interview may be informal and unstructured conversational. Use the <a href=\"https:\/\/chartexpo.com\/blog\/what-is-an-open-ended-questionnaire\" target=\"_blank\" rel=\"noopener noreferrer\"><span data-sheets-root=\"1\">Open-Ended Questionnaire<\/span><\/a> spontaneously.<\/p>\n<ul>\n<li>\n<h3>Focus Groups<\/h3>\n<\/li>\n<\/ul>\n<p>Focus groups are done in a group discussion setting.<\/p>\n<p>The group is mostly limited to 6-10 people, and a moderator is assigned to steward the ongoing discussion.<\/p>\n<p>In most focus groups, the respondents usually have something in common. For example, a researcher conducting a study on track runners will likely choose athletes who specialize in track and have sufficient knowledge of the subject matter.<\/p>\n<ul>\n<li>\n<h3>Record Keeping<\/h3>\n<\/li>\n<\/ul>\n<p>This entails the use of the already existing documents as the key data source. You can use this second-hand information to inform your new research.<\/p>\n<ul>\n<li>\n<h3>Process of Observation<\/h3>\n<\/li>\n<\/ul>\n<p>This method entails keeping a close eye on your research subjects for in-depth insights.<\/p>\n<p>This method involves taking notes, video and audio recording, photography, and other similar methods.<\/p>\n<ul>\n<li>\n<h3>Longitudinal Studies<\/h3>\n<\/li>\n<\/ul>\n<p>It entails collecting data on the same source repeatedly over an extended period, often referred to as a <a href=\"https:\/\/chartexpo.com\/blog\/longitudinal-survey\" target=\"_blank\" rel=\"noopener noreferrer\">longitudinal survey<\/a>.<\/p>\n<p>It&#8217;s a form of observational research method that goes on for a few years and, in some cases, decades. It aims to find correlations through an empirical study of subjects with common traits.<\/p>\n<ul>\n<li>\n<h3>Case Studies<\/h3>\n<\/li>\n<\/ul>\n<p>This method entails gathering data via case studies.<\/p>\n<p>The versatility of this method is demonstrated by how you can easily analyze simple and complex subjects. The strength of this method lies in the combination of one or more qualitative data collection methods to draw inferences.<\/p>\n<h2 id=\"top-6-methods-to-analyze-qualitative-data\">Top 6 Methods to Analyze Qualitative Data<\/h2>\n<ul>\n<li>\n<h3>Narrative Analysis<\/h3>\n<\/li>\n<\/ul>\n<p>This approach involves identifying and analyzing recurring themes or patterns within the data. Researchers systematically code segments of text, recognizing meaningful concepts.<\/p>\n<p>These codes are then grouped into overarching themes that reflect the underlying content of the data. <a href=\"https:\/\/chartexpo.com\/blog\/thematic-analysis\" target=\"_blank\" rel=\"noopener\">Thematic analysis<\/a> is versatile, making it suitable for various research questions and data types.<\/p>\n<ul>\n<li>\n<h3>Grounded Theory<\/h3>\n<\/li>\n<\/ul>\n<p>Grounded theory aims to develop theories grounded in empirical data. Researchers start without preconceived notions, allowing concepts to emerge organically from the data.<\/p>\n<p>Through iterative data collection and analysis cycles, researchers create a theory that explains the observed phenomena. This approach is particularly useful for exploring social processes and interactions.<\/p>\n<ul>\n<li>\n<h3>Content Analysis<\/h3>\n<\/li>\n<\/ul>\n<p>Content analysis objectively and systematically categorizes textual, visual, or audio data. It involves coding content into specific categories, revealing patterns and trends. It&#8217;s commonly used to analyze media, documents, or any form of communication to extract meaningful insights.<\/p>\n<ul>\n<li>\n<h3>Narrative Analysis<\/h3>\n<\/li>\n<\/ul>\n<p>Narrative analysis centers on understanding the stories people tell. Researchers examine narratives&#8217; structure, content, and context to reveal how individuals construct their experiences and identities. This approach is often employed in studying personal accounts, interviews, and life histories.<\/p>\n<ul>\n<li>\n<h3>Phenomenological Analysis<\/h3>\n<\/li>\n<\/ul>\n<p>Phenomenology aims to delve into the core of firsthand experiences. Researchers immerse themselves in participants&#8217; narratives, striving to unveil the intrinsic characteristics that shape these encounters. This method centers on grasping the participants&#8217; realities from a subjective standpoint.<\/p>\n<ul>\n<li>\n<h3>Discourse Analysis<\/h3>\n<\/li>\n<\/ul>\n<p>Discourse analysis examines how language and communication shape and reflect social realities. Researchers scrutinize spoken and written language, considering the power dynamics, ideologies, and cultural contexts embedded in the discourse. It&#8217;s useful for studying how language constructs social meaning and influences behavior.<\/p>\n<h2 id=\"steps-to-present-qualitative-data\">Steps To Present Qualitative Data<\/h2>\n<p>The following steps should be considered when doing qualitative <a href=\"https:\/\/chartexpo.com\/blog\/data-analysis\" target=\"_blank\" rel=\"noopener noreferrer\">data analysis<\/a>.<\/p>\n<h3 id=\"step-1-arrange-your-data\">Step #1: Arrange Your Data<\/h3>\n<p>Once you have collected qualitative data, it&#8217;s essential to organize and clean it.<\/p>\n<p><em>The first step entails arranging it systematically. <\/em><\/p>\n<p>Arranging data means converting all the data into a text format. You can either export it into a spreadsheet manually or by using computer-assisted analysis tools.<\/p>\n<h3 id=\"step-2-set-a-code-to-the-data-collected\">Step #2: Set a Code to the Data Collected<\/h3>\n<p>Coding is one of the best ways to compress a tremendous amount of qualitative data. Besides, it entails categorizing and assigning properties and patterns of the data points.<\/p>\n<p>After assigning codes, build on the patterns to extract in-depth insights into your qualitative data.<\/p>\n<h3 id=\"step-3-validate-your-data\">Step #3: Validate Your Data<\/h3>\n<p>Validating data is one of the crucial steps of qualitative data analysis.<\/p>\n<p>Since data is quintessential for research, it&#8217;s imperative to remove incomplete variables and other errors. Data validation is a recurring step that needs to be followed throughout the research process.<\/p>\n<p>There are two dimensions to validating data:<\/p>\n<ul>\n<li>Accuracy of your research design.<\/li>\n<li>Reliability is the extent to which the methods produce accurate insights consistently.<\/li>\n<\/ul>\n<h2 id=\"tools-for-creating-qualitative-visualizations\">Tools for Creating Qualitative Visualizations<\/h2>\n<h3>NVivo<\/h3>\n<p>NVivo is a leading software for qualitative data analysis. It allows users to organize, code, and visualize qualitative data such as interviews, surveys, and focus groups. With features like word clouds, <a href=\"https:\/\/chartexpo.com\/blog\/cluster-analysis\" target=\"_blank\" rel=\"noopener\">cluster analysis<\/a>, and mind maps, NVivo helps uncover patterns and trends in qualitative data for easier interpretation.<\/p>\n<h3>ChartExpo<\/h3>\n<p><a href=\"https:\/\/chartexpo.com\/\" target=\"_blank\" rel=\"noopener\">ChartExpo<\/a> is a simple yet powerful data visualization tool that integrates with Excel and Google Sheets. While it&#8217;s widely used for quantitative data, it also provides excellent options for visualizing qualitative data, such as word clouds, sentiment charts, and other customizable visualizations. ChartExpo is easy to use, even for those without technical expertise, making it ideal for transforming qualitative insights into clear, compelling visuals.<\/p>\n<h3>Atlas.ti<\/h3>\n<p>Atlas.ti is another comprehensive tool for qualitative data analysis, offering features like coding, organizing, and visualizing data from interviews, <a href=\"https:\/\/chartexpo.com\/blog\/survey-guide\" target=\"_blank\" rel=\"noopener\">surveys<\/a>, and multimedia sources. Its visual tools, such as network diagrams and concept maps, allow users to explore relationships between different themes and concepts, enhancing the understanding of complex qualitative data.<\/p>\n<p>How to visualize qualitative data should never be stressful or even time-consuming. <em>Keep reading to discover more.<\/em><\/p>\n<p>Finally, we&#8217;re in the section, where you get to learn how to visualize qualitative data in Google Sheets. <em>You don&#8217;t want to miss this.<\/em><\/p>\n<h2 id=\"how-to-visualize-qualitative-data\">How to Visualize Qualitative Data?<\/h2>\n<p>The add-on you need for visualizing Qualitative Data in Google Sheets is ChartExpo.<\/p>\n<p><em>So, what is ChartExpo?<\/em><\/p>\n<p>ChartExpo is an add-on you can install in Google Sheets to access visually appealing and ready-made qualitative data charts, such as a Word Cloud.<\/p>\n<p>ChartExpo produces charts that are incredibly easy to interpret. Besides, it comes loaded with a lot of ready-made and visually appealing CSAT charts you&#8217;ll never find in Google Sheets.<\/p>\n<p>You don&#8217;t need to learn programming or coding to use ChartExpo.<\/p>\n<p><em>Yes, you read that right.<\/em><\/p>\n<p><strong>Benefits of ChartExpo<\/strong><\/p>\n<ul>\n<li>ChartExpo is cloud-hosted, which makes it extremely light. You have a 100% guarantee that your computer or browser won&#8217;t be slowed down.<\/li>\n<li>You can export your beautiful, easy-to-read, and intuitive charts in JPEG, PDF, SVG, and PNG formats.<\/li>\n<li>ChartExpo add-in is only $10 a month after the end of the trial period.<\/li>\n<li>ChartExpo has an in-built library with many easy-to-customize and ready-made charts for your data stories.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytncytjZXhwbyswNzQr\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/word-cloud-chart-generator-in-google-sheets-1.jpg\" alt=\"\" width=\"308\" height=\"143\" \/><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZyt4bCtjZXhwbyswNzQr\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/word-cloud-chart-generator-in-excel-1.jpg\" alt=\"\" width=\"308\" height=\"143\" \/><\/a><\/div>\n<h2 id=\"qualitative-data-visualization-examples\">Qualitative Data Visualization Examples<\/h2>\n<h3>How to Display Qualitative Data Graphically in Google Sheets?<\/h3>\n<p>This section will use a Word Cloud Chart to display insights into 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 width=\"359\"><strong>Feedback<\/strong><\/td>\n<td width=\"312\"><strong>No. of Feedback<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Good<\/td>\n<td width=\"312\">247<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Very Good<\/td>\n<td width=\"312\">499<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Super<\/td>\n<td width=\"312\">303<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Satisfactory<\/td>\n<td width=\"312\">105<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Acceptable<\/td>\n<td width=\"312\">415<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Bad<\/td>\n<td width=\"312\">435<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Worst<\/td>\n<td width=\"312\">191<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Normal<\/td>\n<td width=\"312\">382<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Substandard<\/td>\n<td width=\"312\">117<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Poor<\/td>\n<td width=\"312\">195<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Awful<\/td>\n<td width=\"312\">400<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Terrible<\/td>\n<td width=\"312\">390<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">distressing<\/td>\n<td width=\"312\">421<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">regretful<\/td>\n<td width=\"312\">345<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">unpleasant<\/td>\n<td width=\"312\">308<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">nasty<\/td>\n<td width=\"312\">193<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Good Taste<\/td>\n<td width=\"312\">125<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Recommended<\/td>\n<td width=\"312\">380<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Outstanding<\/td>\n<td width=\"312\">290<\/td>\n<\/tr>\n<tr>\n<td width=\"359\">Satisfactory<\/td>\n<td width=\"312\">391<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Install the\u00a0ChartExpo <a href=\"https:\/\/chartexpo.com\/tools\/google-sheets\" target=\"_blank\" rel=\"noopener noreferrer\">add-on for Google Sheets<\/a>\u00a0by clicking <a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrd3NwK2dzK2NleHBvKzEwMDAyKw==\" target=\"_blank\" rel=\"noopener noreferrer\">this link<\/a> to learn more. Then follow the simple and easy steps below.<\/p>\n<ul>\n<li>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, and Visualizations by ChartExpo<\/strong>.<\/li>\n<li>Finally, click the<strong> Open <\/strong>button in the dropdown as shown below.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/06\/open-chartexpo-in-google-sheets.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/06\/open-chartexpo-in-google-sheets.jpg\" alt=\"open chartexpo in google sheets\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Click the <strong>Add New Chart <\/strong>button to get started with ChartExpo.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/06\/add-new-chart-in-google-sheets.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/06\/add-new-chart-in-google-sheets.jpg\" alt=\"add new chart in google sheets\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Look for \u201c<strong>Word Cloud Chart\u201d <\/strong>in the list of charts.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/search-Word-Cloud-Chart-in-google-sheets-3.jpg\"><img decoding=\"async\" class=\"size-full wp-image-4345 aligncenter\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/search-Word-Cloud-Chart-in-google-sheets-3.jpg\" alt=\"search Word Cloud Chart in google sheets\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Select the sheet holding your data and select the <strong>Feedback <\/strong>option. Fill in the numerical numbers (in our case, we&#8217;ll use <strong>Feedback count<\/strong>).<\/li>\n<li>Select the <strong>Words of Data Column <\/strong>button and fill in the dimensional data (in our example, we&#8217;ll use <strong>feedback<\/strong>).<\/li>\n<li>Finish the simple process by clicking the <strong>Create Chart\u00a0<\/strong>button.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/click-on-create-chart-074.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/click-on-create-chart-074.jpg\" alt=\"click on create chart 074\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Check out the final Chart.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/how-to-display-qualitative-data.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/how-to-display-qualitative-data.jpg\" alt=\"how to display qualitative data\" width=\"500\" \/><\/a><\/div>\n<h4>Insights<\/h4>\n<ul>\n<li>&#8216;Very good&#8217;, &#8216;satisfactory&#8217;, &#8216;Bad&#8217;, and &#8216;Acceptable&#8217; are repeated widely in the qualitative data gathered<\/li>\n<li>The terms with the least frequency are &#8216;substandard&#8217; and &#8216;good taste&#8217;.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytncytjZXhwbyswNzQr\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/word-cloud-chart-generator-in-google-sheets-2.jpg\" alt=\"\" width=\"308\" height=\"143\" \/><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZyt4bCtjZXhwbyswNzQr\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/07\/word-cloud-chart-generator-in-excel-2.jpg\" alt=\"\" width=\"308\" height=\"143\" \/><\/a><\/div>\n<h3 id=\"method2\">How to Visualize Qualitative Data in Excel?<\/h3>\n<p>Let&#8217;s say you conduct a salon <a href=\"https:\/\/chartexpo.com\/blog\/csat-survey\" target=\"_blank\" rel=\"noopener noreferrer\">customer satisfaction survey<\/a> with the following questions;<\/p>\n<ul>\n<li>Are you satisfied with the experience at our salon?<\/li>\n<li>Are you satisfied with staff behavior?<\/li>\n<li>Are you satisfied with cleanliness?<\/li>\n<\/ul>\n<p>Customers respond to these questions using the <a href=\"https:\/\/chartexpo.com\/blog\/likert-scale\" target=\"_blank\" rel=\"noopener noreferrer\">Likert scale<\/a> below.<\/p>\n<ol>\n<li>Very dissatisfied<\/li>\n<li>Somewhat dissatisfied<\/li>\n<li>Neither dissatisfied nor satisfied<\/li>\n<li>Somewhat satisfied<\/li>\n<li>Very satisfied<\/li>\n<\/ol>\n<p>Assume your survey yields the data table below.<\/p>\n<table class=\"static\" style=\"border: 1px; font-size: 17px;\">\n<tbody>\n<tr>\n<td width=\"225\"><strong>Are you satisfied with the experience at our salon?<\/strong><\/td>\n<td width=\"209\"><strong>Are you satisfied with staff behavior?<\/strong><\/td>\n<td width=\"213\"><strong>Are you satisfied with cleanliness?<\/strong><\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Somewhat dissatisfied<\/td>\n<td width=\"209\">Very satisfied<\/td>\n<td width=\"213\">Somewhat satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Very satisfied<\/td>\n<td width=\"209\">Neither dissatisfied nor satisfied<\/td>\n<td width=\"213\">Very dissatisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Neither dissatisfied nor satisfied<\/td>\n<td width=\"209\">Somewhat satisfied<\/td>\n<td width=\"213\">Somewhat dissatisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Very dissatisfied<\/td>\n<td width=\"209\">Very dissatisfied<\/td>\n<td width=\"213\">Neither dissatisfied nor satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Somewhat satisfied<\/td>\n<td width=\"209\">Neither dissatisfied nor satisfied<\/td>\n<td width=\"213\">Very dissatisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Somewhat satisfied<\/td>\n<td width=\"209\">Very satisfied<\/td>\n<td width=\"213\">Very satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Very satisfied<\/td>\n<td width=\"209\">Very dissatisfied<\/td>\n<td width=\"213\">Somewhat satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Somewhat dissatisfied<\/td>\n<td width=\"209\">Somewhat satisfied<\/td>\n<td width=\"213\">Somewhat satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Very satisfied<\/td>\n<td width=\"209\">Very dissatisfied<\/td>\n<td width=\"213\">Somewhat dissatisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Very dissatisfied<\/td>\n<td width=\"209\">Very satisfied<\/td>\n<td width=\"213\">Somewhat satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Very satisfied<\/td>\n<td width=\"209\">Neither dissatisfied nor satisfied<\/td>\n<td width=\"213\">Neither dissatisfied nor satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Neither dissatisfied nor satisfied<\/td>\n<td width=\"209\">Somewhat dissatisfied<\/td>\n<td width=\"213\">Very satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Somewhat dissatisfied<\/td>\n<td width=\"209\">Somewhat dissatisfied<\/td>\n<td width=\"213\">Somewhat satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Somewhat satisfied<\/td>\n<td width=\"209\">Neither dissatisfied nor satisfied<\/td>\n<td width=\"213\">Very dissatisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Very dissatisfied<\/td>\n<td width=\"209\">Somewhat dissatisfied<\/td>\n<td width=\"213\">Somewhat satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Neither dissatisfied nor satisfied<\/td>\n<td width=\"209\">Very satisfied<\/td>\n<td width=\"213\">Very dissatisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Very satisfied<\/td>\n<td width=\"209\">Somewhat dissatisfied<\/td>\n<td width=\"213\">Somewhat dissatisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Somewhat satisfied<\/td>\n<td width=\"209\">Very satisfied<\/td>\n<td width=\"213\">Somewhat satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Very satisfied<\/td>\n<td width=\"209\">Very satisfied<\/td>\n<td width=\"213\">Neither dissatisfied nor satisfied<\/td>\n<\/tr>\n<tr>\n<td width=\"225\">Very dissatisfied<\/td>\n<td width=\"209\">Somewhat satisfied<\/td>\n<td width=\"213\">Very satisfied<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>This table contains example data. Expect many responses and questions in real life.<\/p>\n<ul>\n<li>To get started with ChartExpo, install\u00a0<a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZyt4bCtjZXhwbyswNzQr\" target=\"_blank\" rel=\"noopener nofollow noreferrer\">ChartExpo in Excel<\/a>.<\/li>\n<li>Now Click on <strong>My Apps<\/strong> from the <strong>INSERT<\/strong> menu.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/04\/insert-chartexpo-in-excel.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/04\/insert-chartexpo-in-excel.jpg\" alt=\"insert chartexpo in excel\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Choose <strong>ChartExpo<\/strong> from <strong>My Apps<\/strong>, then click <strong>Insert.<\/strong><\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/04\/open-chartexpo-in-excel.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/04\/open-chartexpo-in-excel.jpg\" alt=\"open chartexpo in excel\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Once it loads, choose the \u201c<strong>Likert Scale Chart<\/strong>\u201d from the charts list.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/08\/search-likert-scale-chart-in-excel.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2022\/08\/search-likert-scale-chart-in-excel.jpg\" alt=\"search likert scale chart in excel\" width=\"612\" \/><\/a><\/div>\n<ul>\n<li>Click the \u201c<strong>Create Chart From Selection<\/strong>\u201d button after selecting the data from the sheet, as shown.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/create-chart-from-selection-ce415.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/create-chart-from-selection-ce415.jpg\" alt=\"Create Chart From Selection ce415\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>When you click the \u201c<strong>Create Chart From Selection<\/strong>\u201d button, you have to map responses with numbers manually. The Likert scale has this arrangement:<\/li>\n<\/ul>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Very dissatisfied=1<\/li>\n<li>Somewhat dissatisfied=2<\/li>\n<li>Neither dissatisfied nor satisfied=3<\/li>\n<li>Somewhat satisfied=4<\/li>\n<li>Very satisfied=5<\/li>\n<\/ul>\n<\/li>\n<li>Once all is set, click the \u201c<strong>Create Chart<\/strong>\u201d button.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/map-likert-responses-to-numbers-ce415.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/map-likert-responses-to-numbers-ce415.jpg\" alt=\"Map Likert Responses to Numbers ce415\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>ChartExpo will generate the visualization below for you.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/how-qualitative-data-is-analyzed-design-template.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/how-qualitative-data-is-analyzed-design-template.jpg\" alt=\"How Qualitative Data is Analyzed Design Template\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>If you want to have the chart&#8217;s title, click <strong>Edit Chart<\/strong>, as shown in the above image.<\/li>\n<li>Click the pencil icon next to the <strong>Chart Header<\/strong> to change the title.<\/li>\n<li>It will open the properties dialog. Under the <strong>Text<\/strong> section, you can add a heading in <strong>Line 1<\/strong> and enable <strong>Show<\/strong>.<\/li>\n<li>Give the appropriate title of your chart and click the <strong>Apply<\/strong> button.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/apply-title-on-chart-ce415.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/apply-title-on-chart-ce415.jpg\" alt=\"Apply Title on Chart ce415\" width=\"650\" \/><\/a><\/div>\n<ul>\n<li>Let&#8217;s say you want to add text responses instead of numbers against every emoji.<\/li>\n<li>Click the pencil icon next to the respective emoji. Expand the \u201c<strong>Label<\/strong>\u201d properties and write the required text. Then click the \u201c<strong>Apply All<\/strong>\u201d button.<\/li>\n<li>Click the \u201c<strong>Save Changes<\/strong>\u201d button to persist the changes.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/apply-label-on-chart-ce415.jpg\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" style=\"max-width: 100%;\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/apply-label-on-chart-ce415.jpg\" alt=\"Apply Label on Chart ce415\" width=\"641\" \/><\/a><\/div>\n<ul>\n<li>Your final chart will appear below.<\/li>\n<\/ul>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/final-how-qualitative-data-is-analyzed.jpg\"><img decoding=\"async\" class=\"alignnone size full wp image 4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/11\/final-how-qualitative-data-is-analyzed.jpg\" alt=\"Final How Qualitative Data is Analyzed\" width=\"641\" \/><\/a><\/div>\n<div style=\"text-align: center;\"><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZyt4bCtjZXhwbytDRTQxNSs=\" target=\"_blank&quot;\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-microsoft-excel.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytncytjZXhwbytDRTQxNSs=\" target=\"_blank&quot;\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-google-sheets.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><a href=\"https:\/\/chartexpo.com\/utmAction\/MTYrYmxvZytwYitjZXhwbytQQkk0MTUrTGlrZXJ0Kw==\" target=\"_blank\" rel=\"noopener noreferrer nofollow\"><img decoding=\"async\" class=\"alignnone size-full wp-image-4345\" src=\"https:\/\/chartexpo.com\/blog\/wp-content\/uploads\/2023\/04\/CTA-in-power-bi.jpg\" alt=\"\" width=\"205\" height=\"113\" \/><\/a><\/div>\n<h4>Insights<\/h4>\n<ul>\n<li>50% of customers express satisfaction with the salon&#8217;s cleanliness, while 35% are dissatisfied and 15% remain neutral.<\/li>\n<li>45% are satisfied with the staff behavior, 35% are dissatisfied, and 20% respond neutrally.<\/li>\n<li>50% have a positive experience with your salon, but 35% are unsatisfied.<\/li>\n<li>Overall, 48% of customers responded positively to your survey questions, while 35% expressed dissatisfaction and 17% maintained neutrality.<\/li>\n<\/ul>\n<h2 id=\"advantages-of-visualizing-qualitative-data\">Advantages of Visualizing Qualitative Data<\/h2>\n<ul>\n<li>\n<h3>Summarize Large Amounts of Text<\/h3>\n<\/li>\n<\/ul>\n<p>You can easily highlight key terms in a series of texts, and categorize text by topic, sentiment, and more, saving hours of reading time.<\/p>\n<p>With a qualitative <a href=\"https:\/\/chartexpo.com\/blog\/data-dashboard-examples\" target=\"_blank\" rel=\"noopener\">data dashboard<\/a>, you can extract high-level insights.<\/p>\n<ul>\n<li>\n<h3>Make Text Data Easy to Understand<\/h3>\n<\/li>\n<\/ul>\n<p>Our brains process visual data 60,000 times faster than texts and numbers.<\/p>\n<p>Qualitative charts, such as Word Cloud, simplify complex qualitative data and communicate actionable insights to team managers.<\/p>\n<ul>\n<li>\n<h3>Find Insights in Qualitative Data<\/h3>\n<\/li>\n<\/ul>\n<p><a href=\"https:\/\/chartexpo.com\/blog\/customer-feedback\" target=\"_blank\" rel=\"noopener\">Customer feedback<\/a> holds a trove of insights.<\/p>\n<p>Through a qualitative data chart, you can easily get an overview of the features, products, and topics that are most important to your customers.<\/p>\n<ul>\n<li>\n<h3>Discover Hidden Trends and Patterns<\/h3>\n<\/li>\n<\/ul>\n<p>You can easily analyze and visualize insights over time to detect problems and their root causes.<\/p>\n<h2 id=\"best-practices-for-visualizing-qualitative-data\">Best Practices for Visualizing Qualitative Data<\/h2>\n<h3>1.\u00a0Identify and Focus on Key Themes<\/h3>\n<ul>\n<li>Use thematic analysis to extract the most important patterns, categories, or insights from your qualitative data.<\/li>\n<li>Visualize only the most relevant themes to avoid overwhelming your audience.<\/li>\n<\/ul>\n<h3>2. Choose the Right Visualization Method<\/h3>\n<ul>\n<li>Use\u00a0<strong>word clouds<\/strong>\u00a0for highlighting frequent words or phrases.<\/li>\n<li>Use\u00a0<strong>bar charts<\/strong>\u00a0or\u00a0<strong>heatmaps<\/strong>\u00a0to show the frequency or intensity of themes.<\/li>\n<li>Use\u00a0<strong>network diagrams<\/strong>\u00a0or\u00a0<strong>mind maps<\/strong>\u00a0to illustrate relationships between themes or concepts.<\/li>\n<\/ul>\n<h3>3. Keep It Simple and Clear<\/h3>\n<ul>\n<li>Avoid clutter and overcomplication. Use clean, intuitive designs.<\/li>\n<li>Limit the number of categories or themes displayed to maintain focus.<\/li>\n<\/ul>\n<h3>4. Provide Context with Annotations and Examples<\/h3>\n<ul>\n<li>Add labels, captions, or quotes to explain the significance of the data.<\/li>\n<li>Include real examples or excerpts from the data to make the visualization more relatable and meaningful.<\/li>\n<\/ul>\n<h3>5. Tailor Visualizations to Your Audience<\/h3>\n<ul>\n<li style=\"list-style-type: none;\">\n<ul>\n<li>Use formats and styles that resonate with your audience\u2019s level of expertise and familiarity with the topic.<\/li>\n<li>Ensure the visualization tells a clear story and highlights the most important insights.<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2 id=\"how-to-visualize-qualitative-data-faqs\">How to Visualize Qualitative Data FAQs<\/h2>\n<h3>How do you visually present qualitative data?<\/h3>\n<p>The tested and proven way of visualizing qualitative data is using a Word Cloud Chart.<\/p>\n<p>The chart is amazingly easy to decode.<\/p>\n<p>Frequent words or phrases are shown in larger, bolder fonts. On the other hand, less-frequent words or phrases are shown in a smaller font.<\/p>\n<h3>What is the greatest strength of qualitative research?<\/h3>\n<p>Our brains process visual data 60,000 times faster than texts and numbers. Qualitative charts, such as Word Cloud, simplify complex qualitative data and communicate ideas and concepts to team managers.<\/p>\n<p>You can easily analyze and visualize insights over time to detect problems and their root causes.<\/p>\n<h3>What are the 4 methods to analyze qualitative data?<\/h3>\n<p>Four common methods for analyzing qualitative data are thematic analysis, grounded theory, content analysis, and narrative analysis. These approaches involve systematic coding, categorizing, and interpreting data to uncover patterns, theories, meanings, and narrative structures.<\/p>\n<h4 id=\"wrap-up\">Wrap Up<\/h4>\n<p>Extracting actionable insights into qualitative data is not a walk in the park.<\/p>\n<p>You can easily get overwhelmed, especially if the data is complex and bulky. It would help if you had a tool that could scan through the qualitative data to cherry-pick low-hanging insights.<\/p>\n<p><em>This is where a Word Cloud Chart comes in.<\/em><\/p>\n<p>The chart uses simple text analysis to help you visualize and summarize qualitative data, such as customer feedback and search terms.<\/p>\n<p><em>So how can you access a Word Cloud Chart?<\/em><\/p>\n<p>Google Sheets does not natively support Word Cloud Chart. You don&#8217;t have to do away with Google Sheets for other expensive tools.<\/p>\n<p>To access ready-made qualitative-based charts, such as Word Cloud, we recommend you install third-party apps, such as ChartExpo, into your Google Sheets.<\/p>\n<p>Essentially, ChartExpo is an add-on you can easily download and install in your Google Sheets app. More so, the tool comes with insightful and ready-to-go <em>qualitative-oriented charts.<\/em><\/p>\n<p>How to visualize qualitative data should never consume your precious time.<\/p>\n<p>Sign up for a 7-day trial to enjoy unlimited access to simple and visually appealing qualitative data charts, such as a Word Cloud.<\/p>\n","protected":false},"excerpt":{"rendered":"<p><p>A complete Guide on Qualitative Data. What is Qualitative Data and How to Visualize Qualitative Data using best charts and techniques.<\/p>\n&nbsp;&nbsp;<a href=\"https:\/\/chartexpo.com\/blog\/how-to-visualize-qualitative-data\"><\/a><\/p>","protected":false},"author":1,"featured_media":20209,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[739],"tags":[866],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v21.5 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\r\n<title>How to Visualize Qualitative Data? -<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\r\n<link rel=\"canonical\" href=\"https:\/\/chartexpo.com\/blog\/how-to-visualize-qualitative-data\" \/>\r\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\r\n<meta name=\"twitter:title\" content=\"How to Visualize Qualitative Data? -\" \/>\r\n<meta name=\"twitter:description\" content=\"A complete Guide on Qualitative Data. 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