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<\/a><\/div>\n<\/a><\/a><\/a><\/div>\nYou can easily get overwhelmed. <\/em><\/p>\n You need a tool that can pore through the qualitative data for low-hanging insights. Going manual is not an option.<\/p>\n This is where text visualization charts come in.<\/em><\/p>\n The charts use simple text analysis to help you visualize and summarize qualitative data, such as customer feedback and search terms. Below are some of the text visualization charts we recommend you try these:<\/p>\n So, how can you access the charts highlighted above?<\/em><\/p>\n Google Sheets lack Word and Tag Clouds, Slope, and Sankey Charts.<\/p>\n You don’t have to do away with Google Sheets for other expensive tools. You can supercharge it by installing third-party add-ons to access easy-to-use text visualization charts.<\/p>\n In this blog, you’ll learn the following:<\/p>\n Before diving into the main theme, we’ll address the following question: what is text visualization?<\/p>\n Definition<\/strong>: The text visualization chart is the graphical representation of qualitative data<\/a> frequency, such as keywords or customer feedback.<\/p>\n The graph gives greater prominence to words that appear more frequently in a source text. The larger the word, the higher its frequency.<\/p>\n You can use the chart to perform exploratory textual analysis by identifying words that frequently appear in a set of interviews, documents, or other text. Also, you can use it to communicate the most salient points or themes in the reporting stage.<\/p>\n Check out the uses of text visualization charts below:<\/p>\n Automatically highlight key terms in a series of texts, and categorize text by topic, sentiment, and more, saving hours of reading time.<\/p>\n With a text visualization or data visualization dashboard, you can understand text data at a glance.<\/p>\n Our brains process visual data 60,000 times faster than texts and numbers. Text visualization examples effectively simplify complex data and communicate ideas and concepts to team managers.<\/p>\n Customer feedback holds a trove of insights. Through text visualization examples, you can get an overview of the features, products, and topics that are most important to your customers.<\/p>\n You can easily analyze and visualize insights over time to detect fluctuations, and quickly find the root cause.<\/p>\n Extracting reliable insights from qualitative data sets, such as keywords, should never be an Achilles Heel for you. Keep reading because we’ll address the following question: why do we need text visualization?<\/p>\n You can use the chart to understand your audience’s feelings about a topic\/situation. Besides, you can leverage the chart to summarize data-driven views. The chart can help you summarize the market feedback using first-hand data.<\/p>\n You can easily get live feedback from your audience in real-time<\/p>\n The chart can help audiences feel part of your data story.<\/p>\n The Word Cloud is incredibly engaging and visually appealing to many audiences. The chart can be an icebreaker or an entry point for a topic of discussion.<\/p>\n 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 Generating text visualization examples is easy to follow. Yes, you read that right. Besides, the chart can provide you with insights into large data sets.<\/p>\n In the coming section, we’ll cover the following: text data visualization examples.<\/p>\n Word Clouds<\/a> are charts that display insights into qualitative data frequency.<\/p>\n The visualization design gives greater prominence to words that appear more frequently in a source text. The larger the word, the higher its frequency.\u00a0You can use the chart (one of the text visualization examples) to perform exploratory textual analysis by identifying words that frequently appear in a set of interviews, documents, or other text.<\/p>\n Also, you can use it to communicate the most salient points or themes in your data stories.<\/p>\n Tag clouds or text clouds are ideal if your goal is to pull out the most pertinent parts of textual data, from blog posts to databases.<\/p>\n You can use the tag cloud as a text visualization tool<\/a> to compare and contrast two different pieces of text for similarities and differences.<\/p>\n Slope Charts<\/a> show\u00a0transitions, changes over time, absolute values, and even rankings. <\/strong>Besides, they’re also called Slope Graphs.<\/p>\n You can use this chart to show the before and after story of key variables.<\/p>\n Slope Graphs (one of the text visualization examples) can be useful when you have two time periods or points of comparison<\/a> and want to show relative increases and decreases quickly across various categories between two data points.<\/p>\n The best way to explain the value of and use case for slope graphs is through a specific example.<\/p>\n This chart packs in a lot of information. In addition to the absolute values (the points), the lines that connect them give you the visual increase or decrease in the rate of change (via the slope or direction). This approach is a great example of information design<\/a>, where each element is carefully crafted to enhance the clarity and effectiveness of the data presentation.<\/p>\n Note: Slope Charts require immense patience to create because you can’t find ready-made templates in most visualization tools.<\/p>\n Whether a slope chart will work in your data story or not depends on the nature of your data. For instance, if many lines overlap, your chart will lose effectiveness. And this is due to clutter.<\/p>\n However, you can overcome the above challenge to some degree by highlighting a single line category that has either increased or decreased over time.<\/p>\n A Sankey Diagram<\/a> visualizes \u201ca flow\u201d from one set of values to the next. The two items being connected are referred to as \u201cnodes.\u201d The connections are labeled as \u201clinks\u201d.<\/p>\n Besides, it’s named after an Irishman, Capt. Matthew Sankey first used them in a publication on the energy efficiency of a steam engine in 1898. Sankey diagrams were initially used to visualize and analyze energy flows, but they’re a great tool to depict the flow of money, time, and resources. Flows in the chart can display energy, materials, fluids, revenue, or costs.<\/p>\n Audiences can get a high-level view, see specific details, or generate interactive views. For an illustration of this approach, refer to this data story example.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n<\/div>\n These visualization charts make dominant contributors or consumers<\/em> stand out. Keep reading because we’ll address the following in the coming section: how do you visualize text data?<\/p>\n Google Sheets has default charts you can use to extract answers from your data.<\/p>\n However, you’ll never find ready-to-use text visualization examples, such as Word Cloud Charts, for your analysis. The most viable option available for you is installing a particular third-party add-on (we’ll talk about later) to access ready-made text-based charts.<\/p>\n You don’t need to do away with the Google Sheets.<\/p>\n We recommend you try the ChartExpo add-on for Google Sheets<\/a> because of the reasons listed below.<\/p>\n ChartExpo does not require coding or programming skills, unlike other data visualization<\/a> add-ons. It has a super-friendly user interface (UI) for everyone to use.<\/p>\n This tool comes pre-loaded with many ready-made charts to offset the missing ones in Google Sheets. Use ChartExpo to produce text visualization examples that are incredibly easy to read and understand.<\/p>\n How to make text visualization examples, such as Slope Charts, should never be time-consuming. Use ChartExpo to overcome this. You’ll learn more about this cutting-edge tool in the next section.<\/p>\n So, what is ChartExpo?<\/strong><\/p>\n ChartExpo<\/a> comes as an\u00a0add-on for Google Sheets.<\/p>\n Essentially, it turns your Google Sheets into a usable data visualization tool<\/a> capable of delivering hidden insights into your data, irrespective of the size or complexity.<\/p>\n The premium Text Visualization Maker comes with a 7-day free trial period.<\/p>\n The key benefit of ChartExpo is the fact that it produces charts in Excel<\/a> and Google Sheets that are easy to read and interpret<\/em>. More so, it allows you to save charts in the world’s most recognized formats, namely PNG, PDF, and JPG.<\/p>\n This section will use a Word Cloud Chart<\/a> to display insights into the table below.<\/p>\n\n
Table of Content:<\/h3>\n
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What is Text Visualization?<\/h2>\n
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Summarize Large Amounts of Text<\/h3>\n<\/li>\n<\/ul>\n
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Make Text Data Easy to Understand<\/h3>\n<\/li>\n<\/ul>\n
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Find Insights in Qualitative Data<\/h3>\n<\/li>\n<\/ul>\n
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Discover Hidden Trends and Patterns<\/h3>\n<\/li>\n<\/ul>\n
Why Do We Need Text Visualization?<\/h2>\n
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Text Visualization can\u00a0help reveal your audience’s thoughts<\/h3>\n<\/li>\n<\/ul>\n
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Quick and informative<\/h3>\n<\/li>\n<\/ul>\n
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Exciting and emotional<\/h3>\n<\/li>\n<\/ul>\n
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Engaging<\/h3>\n<\/li>\n<\/ul>\n
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Word Clouds are visual<\/h3>\n<\/li>\n<\/ul>\n
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Creating a text visualization is straightforward<\/h3>\n<\/li>\n<\/ul>\n
Text Visualization Examples<\/h2>\n
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Word Cloud<\/h3>\n<\/li>\n<\/ul>\n
<\/a><\/div>\n<\/a> <\/a><\/div>\n\n
Tag Clouds<\/h3>\n<\/li>\n<\/ul>\n
<\/a><\/div>\n\n
Slope Chart<\/h3>\n<\/li>\n<\/ul>\n
<\/a><\/div>\n\n
Sankey Chart<\/h3>\n<\/li>\n<\/ul>\n
<\/a><\/div>\n<\/a><\/a><\/a><\/div>\nHow Do You Visualize Text Data?<\/h2>\n
<\/a><\/a><\/a><\/div>\nExample<\/h3>\n