{"id":5898,"date":"2019-07-10T17:25:51","date_gmt":"2019-07-10T09:25:51","guid":{"rendered":"http:\/\/www.finereport.com\/en\/?p=5898"},"modified":"2025-09-04T16:51:55","modified_gmt":"2025-09-04T08:51:55","slug":"data-visualization-2","status":"publish","type":"post","link":"https:\/\/www.finereport.com\/en\/data-visualization\/data-visualization-2.html","title":{"rendered":"What is Data Visualization? Definition, Examples, Types, and Design Guide"},"content":{"rendered":"\n<p>You must have seen a lot of <strong><a href=\"https:\/\/www.finereport.com\/en\/data-visualization\/data-visualization-examples.html\" target=\"_blank\" rel=\"noreferrer noopener\">data visualization examples<\/a><\/strong>. But what do you mean by data visualization? A graph? A chart? Or a dashboard? <\/p>\n\n\n\n<p>Today, I collected everything you want to know about data visualization, including the definition, importance, and basic types. Also, I will introduce the top 16 types of charts in data visualization and analyze their application scenarios to help you quickly select the type of chart. In the end, you will have an idea of how to design good data visualization.<\/p>\n\n\n\n<div id=\"toc_container\" class=\"toc_transparent no_bullets\"><p class=\"toc_title\">Contents<\/p><ul class=\"toc_list\"><li><a href=\"#1_What_is_Data_Visualization\">1. What is Data Visualization?<\/a><\/li><li><a href=\"#2_Why_is_Data_Visualization_Important\">2. Why is Data Visualization Important?<\/a><ul><li><a href=\"#Other_importance_of_data_visualization\">Other importance of data visualization<\/a><\/li><\/ul><\/li><li><a href=\"#3_FivenbspData_Visualization_Types_Commonly_Used_and_Examples\">3. Five&nbsp;Data Visualization Types Commonly Used and Examples<\/a><ul><li><a href=\"#31_Data_visualization_by_area_size\">3.1. Data visualization by area &amp; size<\/a><\/li><li><a href=\"#32_Data_visualization_by_color\">3.2 Data visualization by color<\/a><\/li><li><a href=\"#33_Data_visualization_by_image\">3.3 Data visualization by image<\/a><\/li><li><a href=\"#34_Data_visualization_by_the_concept\">3.4 Data visualization by the concept<\/a><\/li><li><a href=\"#35_Data_visualization_by_graphs_or_charts\">3.5 Data visualization by graphs or charts<\/a><\/li><\/ul><\/li><li><a href=\"#4_Choose_the_right_data_visualization_types_and_design_it\">4. Choose the right data visualization types and design it<\/a><ul><li><a href=\"#1_Bar_Chart\">1) Bar Chart<\/a><\/li><li><a href=\"#2_Pie_Chart\">2) Pie Chart<\/a><\/li><li><a href=\"#3_Line_Chart\">3) Line Chart<\/a><\/li><li><a href=\"#4_Area_Chart\">4) Area Chart<\/a><\/li><li><a href=\"#5_Scatter_Plot\">5) Scatter Plot<\/a><\/li><li><a href=\"#6_Bubble_Chart\">6) Bubble Chart<\/a><\/li><li><a href=\"#7_Heat_Map\">7) Heat Map<\/a><\/li><\/ul><\/li><li><a href=\"#5_How_to_Design_Good_Data_Visualization\">5. How to Design Good Data Visualization?<\/a><ul><li><a href=\"#Know_your_audience\">Know your audience<\/a><\/li><li><a href=\"#Understand_your_data\">Understand your data<\/a><\/li><li><a href=\"#Storytelling_with_data\">Storytelling with data<\/a><\/li><li><a href=\"#Keep_it_simple\">Keep it simple<\/a><\/li><\/ul><\/li><li><a href=\"#You_might_also_be_interested_in8230\">You might also be interested in&#8230;<\/a><\/li><\/ul><\/div>\n<h2 id=\"Whatisdatavisualization?Definition,ImportanceandTips-Whatisdatavisualization?\"><span id=\"1_What_is_Data_Visualization\">1. What is Data Visualization?<\/span><\/h2>\n\n\n\n<p>In short, data visualization is presenting structured or unstructured data graphically to present information hidden in the data directly to people. <\/p>\n\n\n\n<p>But there is a catch:<\/p>\n\n\n\n<p>It is not merely using <a rel=\"noreferrer noopener\" href=\"https:\/\/www.finereport.com\/en\/data-visualization\/free-and-open-source-data-visualization-tools.html\" target=\"_blank\"><strong>data visualization tools<\/strong><\/a> to turn data into graphs. Instead, it is looking at the world from a <a href=\"https:\/\/www.fanruan.com\/en\/glossary\/big-data\/data-point\" target=\"_blank\" rel=\"noreferrer noopener\">data point<\/a> of view. In other words, the object of data visualization is data, and what we want is to use data as a tool, using visualization as a means to explore the world.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071010A.png\" alt=\"data visualization dashboard\"\/><\/figure>\n\n\n\n<h2 id=\"Whatisdatavisualization?Definition,ImportanceandTips-Whyisdatavisualizationsoimportant?\"><span id=\"2_Why_is_Data_Visualization_Important\">2. Why is Data Visualization Important?<\/span><\/h2>\n\n\n\n<p>Let&#8217;s start with a game.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"http:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071002I.png\" alt=\"why is data visualization important\"\/><figcaption><em>From&nbsp;FineReport<\/em><\/figcaption><\/figure>\n\n\n\n<p>Look:<\/p>\n\n\n\n<p>The largest importance of data visualization is that it helps people understand data faster.&nbsp;Finding connections between mountains of information isn&#8217;t easy, but graphs and charts can transform the invisible information into visible graph symbols, express it directly and clearly, and help you discover key points quickly.<\/p>\n\n\n\n<p>That&#8217;s not all&#8230;.. <\/p>\n\n\n\n<h3><span id=\"Other_importance_of_data_visualization\">Other importance of data visualization<\/span><\/h3>\n\n\n\n<p>Researches show that people remember around 80 percent of things they see but only 20 percent of what they have read. And the brain can remember images a million times faster than abstract words.<\/p>\n\n\n\n<p>Therefore, visualizing data can deepen people&#8217;s memory of information.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"http:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071003I.png\" alt=\"data visualization helps readers see and read\"\/><figcaption><em>From Google<\/em><\/figcaption><\/figure>\n\n\n\n<p>The ability to display big data is another importance of data visualization.&nbsp;For instance, the dashboards built by <a rel=\"noreferrer noopener\" href=\"https:\/\/www.finereport.com\/en\/\" target=\"_blank\">FineReport<\/a> can integrate big data from different resources, reflect real-time data, and display it on a large screen. <\/p>\n\n\n\n<p>Therefore, people can build connections between big data from different departments and monitor business performance. It opens up new avenues for business. You might find something unexpected in big data through visualizing data.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"http:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071004I.jpg\" alt=\"large screen for data visualization\" class=\"wp-image-5911\"\/><figcaption><em>From&nbsp;<a href=\"https:\/\/www.finereport.com\/en\/\" target=\"_blank\" rel=\"noreferrer noopener\">FineReport<\/a><\/em><\/figcaption><\/figure>\n\n\n\n<div class=\"wp-block-buttons\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-vivid-cyan-blue-to-vivid-purple-gradient-background has-text-color has-background\" href=\"https:\/\/www.fanruan.com\/en\/finereport\/download-trial-b\" style=\"border-radius:50px;color:#fffffa\" target=\"_blank\" rel=\"noreferrer noopener\">Try FineReport For Free<\/a><\/div>\n<\/div>\n\n\n\n<h2><span id=\"3_FivenbspData_Visualization_Types_Commonly_Used_and_Examples\">3. Five&nbsp;Data Visualization Types Commonly Used and Examples<\/span><\/h2>\n\n\n\n<h3><span id=\"31_Data_visualization_by_area_size\">3.1. Data visualization by area &amp; size<\/span><\/h3>\n\n\n\n<p>Differentiate the length, height, or area of the same type of graphics (such as columns, rings, spiders, etc.) to clearly express the contrast between the index values corresponding to different indicators. This approach will allow viewers to see the data and the comparison between them at a glance. When making such data visualization graphics, mathematical formulas are used to express accurate scales.&nbsp;<\/p>\n\n\n\n<p><strong>Examples\uff1a <\/strong><\/p>\n\n\n\n<p>a: Check-in for City Class<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/11\/01.png\" alt=\"data visualization by height\"\/><\/figure>\n\n\n\n<p>This Check-in City Class histogram clearly shows the proportion of students in different regions. From the above picture, we can strongly perceive the absolute proportion of students in Beijing, Guangzhou, and Shanghai at first glance. <\/p>\n\n\n\n<p>b: Federal Budget Map<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/11\/02.gif\" alt=\"data visualization by area\"\/><\/figure>\n\n\n\n<p>As shown in the above figure, in the US federal budget map, the flow of funds is clearly expressed in different currency flows and the proportion of each amount. <\/p>\n\n\n\n<p>c: Enterprise Ability Model Spider Diagram<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><a href=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/11\/03.png\"><img loading=\"lazy\" width=\"710\" height=\"352\" src=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/11\/03.png\" alt=\"data visualization by size\" class=\"wp-image-8647\" srcset=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/11\/03.png 710w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/11\/03-300x149.png 300w\" sizes=\"(max-width: 710px) 100vw, 710px\" \/><\/a><figcaption>From <a href=\"https:\/\/www.finereport.com\/en\/\" target=\"_blank\" rel=\"noreferrer noopener\">FineReport<\/a><\/figcaption><\/figure><\/div>\n\n\n\n<p>As shown above, through the spider map, you can see that the company\u2019s ability in profitability and risk control capability is nearly 100 points, which can be said to be outstanding.<\/p>\n\n\n\n<h3><span id=\"32_Data_visualization_by_color\">3.2 Data visualization by color<\/span><\/h3>\n\n\n\n<p>It is a common method of data visualization design to express the strength and size of the index value by the depth of the color. The user can see at a glance which part of the indicator data value is more prominent. <\/p>\n\n\n\n<p><strong>Examples\uff1a<\/strong><\/p>\n\n\n\n<p> a: Click Heatmap <\/p>\n\n\n\n<p>As shown below, via tracking mouse movements and creating the heat map from the mouse log, the user behavior is visualized by it.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021402I.png\"><img loading=\"lazy\" width=\"1217\" height=\"671\" src=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021402I.png\" alt=\"visualization types- by color\" class=\"wp-image-9333\" srcset=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021402I.png 1217w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021402I-300x165.png 300w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021402I-768x423.png 768w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021402I-1024x565.png 1024w\" sizes=\"(max-width: 1217px) 100vw, 1217px\" \/><\/a><figcaption>From FineReport<\/figcaption><\/figure>\n\n\n\n<p>b. Earthquake heatmap <\/p>\n\n\n\n<p>The heat map below shows the seismic intensity of each place on the map and the distribution of the seismic intensity.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/12\/2019072228A.gif\"><img loading=\"lazy\" width=\"905\" height=\"494\" src=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/12\/2019072228A.gif\" alt=\"data visualization types - by color\" class=\"wp-image-8956\"\/><\/a><figcaption>From FineReport<\/figcaption><\/figure>\n\n\n\n<h3><span id=\"33_Data_visualization_by_image\">3.3 Data visualization by image<\/span><\/h3>\n\n\n\n<p>Using images and icons that have real meaning, can display data and charts more realistically, and can easily convey the meaning of the data.&nbsp;For example, the graph below shows the proportions of each with a male and female icon as a background. At a glance, you can identify the men or women.&nbsp;<\/p>\n\n\n\n<figure class=\"wp-block-image\"><a href=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021401I.png\"><img loading=\"lazy\" width=\"1410\" height=\"616\" src=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021401I.png\" alt=\"visualization types -visualize by image\" class=\"wp-image-9332\" srcset=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021401I.png 1410w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021401I-300x131.png 300w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021401I-768x336.png 768w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020021401I-1024x447.png 1024w\" sizes=\"(max-width: 1410px) 100vw, 1410px\" \/><\/a><figcaption>From FineReport<\/figcaption><\/figure>\n\n\n\n<h3><span id=\"34_Data_visualization_by_the_concept\">3.4 Data visualization by the concept<\/span><\/h3>\n\n\n\n<p>By translating abstract indicator data into familiar, easy-to-perceive data, it is easier for users to understand the meaning of the graphics. <\/p>\n\n\n\n<p><strong>Examples\uff1a<\/strong><\/p>\n\n\n\n<p> a: What is Unstructured Data? Everyone knows that the iceberg suspended in the sea is just the tip of the iceberg. The iceberg below the sea is the vast majority of the iceberg. Explaining the amount of data of unstructured data and structural data and describing the characteristics of unstructured data through the form of conceptual transformation is very vivid and makes it easier to understand unknown and difficult concepts.<\/p>\n\n\n\n<div class=\"wp-block-image\"><figure class=\"aligncenter\"><a href=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/11\/09.jpg\"><img loading=\"lazy\" width=\"600\" height=\"337\" src=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/11\/09.jpg\" alt=\"\" class=\"wp-image-8653\" srcset=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/11\/09.jpg 600w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/11\/09-300x169.jpg 300w\" sizes=\"(max-width: 600px) 100vw, 600px\" \/><\/a><\/figure><\/div>\n\n\n\n<p>b: Infographics Infographics are the most extensive representation of concept visualization. If you are interested in making infographics, you can refer to&nbsp;<a href=\"https:\/\/www.finereport.com\/en\/data-visualization\/7-data-visualization-tools-to-create-infographics.html\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>7 Data Visualization Tools to Create Infographics.<\/strong><\/a><\/p>\n\n\n\n<h3><span id=\"35_Data_visualization_by_graphs_or_charts\">3.5 Data visualization by graphs or charts<\/span><\/h3>\n\n\n\n<p>When we design indicators and data, using graphics with corresponding actual meanings to combine presentations will make the data charts more vividly displayed, making it easier for users to understand the topics to be expressed by the charts. It is the most commonly used data visualization type. <\/p>\n\n\n\n<div class=\"wp-block-buttons\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-vivid-cyan-blue-to-vivid-purple-gradient-background has-text-color has-background\" href=\"https:\/\/www.fanruan.com\/en\/finereport\/download-trial-b\" style=\"border-radius:50px;color:#fffffa\" target=\"_blank\" rel=\"noreferrer noopener\">Try FineReport For Free<\/a><\/div>\n<\/div>\n\n\n\n<h2><span id=\"4_Choose_the_right_data_visualization_types_and_design_it\">4. Choose the right data visualization types and design it<\/span><\/h2>\n\n\n\n<p>I can\u2019t emphasize this enough:<\/p>\n\n\n\n<p>Before choosing the data visualization types, it is important to know your data, especially data relationships are shown below.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071501I.png\" alt=\"Data visualization relationships\" class=\"wp-image-6018\"\/><\/figure>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/www.finereport.com\/en\/\" data-type=\"URL\" data-id=\"https:\/\/www.finereport.com\/en\/\" target=\"_blank\">FineReport<\/a>,&nbsp;as a leading <strong><a href=\"https:\/\/www.finereport.com\/en\/reporting-tools\/best-reporting-tools-list.html\" target=\"_blank\" rel=\"noreferrer noopener\">reporting tool<\/a><\/strong>, supports more than 50 chart styles, covering all basic and high-level charts on the market, and also has excellent dynamic effects and a powerful interactive experience. Various features can be set according to the needs during use, and can also be self-adjusted and displayed on the mobile terminal and large LED screen. FineReport will streamline your data visualization journey and help you create professional and dazzling dashboards!<\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><a href=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2023\/03\/image-9.png\"><img loading=\"lazy\" width=\"680\" height=\"458\" src=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2023\/03\/image-9.png\" alt=\"data visualization dashboard\" class=\"wp-image-14595\" srcset=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2023\/03\/image-9.png 680w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2023\/03\/image-9-300x202.png 300w\" sizes=\"(max-width: 680px) 100vw, 680px\" \/><\/a><\/figure>\n\n\n\n<div class=\"wp-block-buttons\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-vivid-cyan-blue-to-vivid-purple-gradient-background has-text-color has-background\" href=\"https:\/\/www.fanruan.com\/en\/finereport\/download-trial-b\" style=\"border-radius:50px;color:#fffffa\" target=\"_blank\" rel=\"noreferrer noopener\">Try FineReport For Free<\/a><\/div>\n<\/div>\n\n\n\n<p>Now, I assume that you understand your data and have the right&nbsp;<strong><a href=\"https:\/\/www.finereport.com\/en\/data-visualization\/free-and-open-source-data-visualization-tools.html\" target=\"_blank\" rel=\"noreferrer noopener\">data visualization tool<\/a><\/strong>. Let\u2019s move on, choosing the very best types of data visualization for your project, and designing it impressively.<\/p>\n\n\n\n<br> <\/br>\n\n\n\n<h3><span id=\"1_Bar_Chart\">1) Bar Chart<\/span><\/h3>\n\n\n\n<h4>When to use bar charts?<\/h4>\n\n\n\n<p>Bar charts are mostly used for: Data changes over time, comparison of different data, and the relationship between parts and whole.<\/p>\n\n\n\n<p><strong>Vertical bar charts\uff1a <\/strong>best for showing chronological data<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img loading=\"lazy\" width=\"399\" height=\"215\" src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071502I.png\" alt=\"data visualization: vertical bar charts\" class=\"wp-image-6032\"\/><\/figure>\n\n\n\n<p><strong>Stacked bar charts:&nbsp;<\/strong>can be used when comparing relationships between parts and whole, and can be applied to discrete data and continuous data.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071503I.png\" alt=\"stacked bar charts\" class=\"wp-image-5951\"\/><\/figure>\n\n\n\n<p><strong>Horizontal&nbsp;bar&nbsp;charts:&nbsp;<\/strong>you can use them when there are many data categories and the label is long<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071504I.png\" alt=\"horizontal bar charts\" class=\"wp-image-5952\"\/><\/figure>\n\n\n\n<p><strong>100% Stacked:&nbsp;<\/strong>use it when only paying attention to the partial-whole relationship while the total value of each group is not important<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071505I.png\" alt=\"data visualization: 100% stacked\" class=\"wp-image-5953\"\/><\/figure>\n\n\n\n<br> <\/br>\n\n\n\n<h4>How to design it?<\/h4>\n\n\n\n<ol><li><strong>Use horizontal text labels:<\/strong>&nbsp;Do not use horizontal or vertical lines of text to make sure the labels are easy to read.<\/li><\/ol>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071506I.png\" alt=\"data visualization: chart design\" class=\"wp-image-5944\"\/><\/figure>\n\n\n\n<p><strong>2. Column spacing should be appropriate\uff1a <\/strong>Column spacing should be 1\/2 the width of the column.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071507I.png\" alt=\"data visualization: chart design 2\" class=\"wp-image-5945\"\/><\/figure>\n\n\n\n<p><strong>3. The numerical value of the Y coordinate should start from 0:&nbsp;<\/strong>If you are the origin of coordinates beyond zero, you can not express the whole value accurately.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071508I.png\" alt=\"data visualization: chart design 3\" class=\"wp-image-5947\"\/><\/figure>\n\n\n\n<p><strong>4. Keep the color scheme consistent:&nbsp;<\/strong>It is better to use the same color. If you need to emphasize the data, you can use another striking color to highlight it.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071509I.png\" alt=\"data visualization: chart design 3\" class=\"wp-image-5948\"\/><\/figure>\n\n\n\n<p><strong>5. Arrange the category properly:&nbsp;<\/strong>Sort by the initial of the word.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071510I.png\" alt=\"data visualization: chart design 4\" class=\"wp-image-5949\"\/><\/figure>\n\n\n\n<h3><span id=\"2_Pie_Chart\">2) Pie Chart<\/span><\/h3>\n\n\n\n<h4>When to use pie charts?<\/h4>\n\n\n\n<p>Pie charts can easily express the relationship between parts and the whole, which is suitable for discrete data and continuous data. This approach is most attractive and understandable when the amount of data is small.<\/p>\n\n\n\n<p><strong>Pie chart:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071511I.png\" alt=\"pie chart\" class=\"wp-image-5980\"\/><\/figure>\n\n\n\n<p><strong>Ring pie chart:<\/strong>&nbsp;you can put the most important element in the middle.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071512I.png\" alt=\"ring pie chart\" class=\"wp-image-5981\"\/><\/figure>\n\n\n\n<h4>How to design it?<\/h4>\n\n\n\n<ol><li><strong>Position the slices correctly\uff1a<\/strong>&nbsp;there&nbsp;are&nbsp;two&nbsp;design&nbsp;ideas.<\/li><\/ol>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071513I.png\" alt=\"data visualization: chart design 4\" class=\"wp-image-5966\"\/><\/figure>\n\n\n\n<p><strong>Plan A:&nbsp;<\/strong>Place the largest part at 12 o \u2018clock in a clockwise direction. Then, place the second largest at 12 o \u2018clock in an anticlockwise direction. Arrange the rest counterclockwise as shown above.<\/p>\n\n\n\n<p><strong>Plan B:&nbsp;<\/strong>Place the largest part at 12 o \u2018clock in a clockwise direction. Arrange the rest clockwise as shown above.<\/p>\n\n\n\n<p><strong>2. Better no more than five categories\uff1a <\/strong>It is difficult to distinguish regions on the chart when the data percentage is too small. If there are too many categories, put the unimportant ones in the \u2018other\u2019 category.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071514I.png\" alt=\"data visualization: chart design 5\" class=\"wp-image-5960\"\/><\/figure>\n\n\n\n<p><strong>3.&nbsp;Don\u2019t&nbsp;use&nbsp;multiple&nbsp;pie&nbsp;charts&nbsp;to&nbsp;show&nbsp;comparison&nbsp;relationships:&nbsp;<\/strong>Use bar charts rather than pie charts to compare data.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071515I.png\" alt=\"data visualization: chart design 6\" class=\"wp-image-5961\"\/><\/figure>\n\n\n\n<p><strong>4. Make sure the percentages add up to 100%<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071516I.png\" alt=\"data visualization: chart design 6\" class=\"wp-image-5962\"\/><\/figure>\n\n\n\n<h3 id=\"mce_139\"><span id=\"3_Line_Chart\">3) Line Chart<\/span><\/h3>\n\n\n\n<h4>When to use line charts?<\/h4>\n\n\n\n<p>Line charts are used to show time series relationships and persistent data. It\u2019s a good indicator of trends, accumulations, decreases, and changes.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071517I.png\" alt=\"line charts\" class=\"wp-image-5985\"\/><\/figure>\n\n\n\n<h4>How to design it?<\/h4>\n\n\n\n<p><strong>1.No more than four lines:&nbsp;<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071518I.png\" alt=\"\" class=\"wp-image-5983\"\/><\/figure>\n\n\n\n<p><strong>2. Only use full lines:&nbsp;<\/strong>dotted lines are distracting.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071519I.png\" alt=\"\" class=\"wp-image-5984\"\/><\/figure>\n\n\n\n<p><strong>3. Coordinate axes should include zero reference lines:&nbsp;<\/strong>Although the line chart does not need to start with a zero baseline, the chart should try to include it. If some small ranges are meaningful, you can shorten the ratio to highlight them.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071520I.png\" alt=\"\" class=\"wp-image-5986\"\/><\/figure>\n\n\n\n<p><strong>4. Display text labels at the end of the line directly\uff1a<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071521I.png\" alt=\"\" class=\"wp-image-5987\"\/><\/figure>\n\n\n\n<p><strong>5. The height of the line should be similar to the scale of the chart:&nbsp;<\/strong>The maximum height of the line chart should be 2\/3 of the Y-axis.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071522I.png\" alt=\"\" class=\"wp-image-5988\"\/><\/figure>\n\n\n\n<div class=\"wp-block-buttons\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-vivid-cyan-blue-to-vivid-purple-gradient-background has-text-color has-background\" href=\"https:\/\/www.fanruan.com\/en\/finereport\/download-trial-b\" style=\"border-radius:50px;color:#fffffa\" target=\"_blank\" rel=\"noreferrer noopener\">Try FineReport For Free<\/a><\/div>\n<\/div>\n\n\n\n<h3><span id=\"4_Area_Chart\">4) Area Chart<\/span><\/h3>\n\n\n\n<h4>When to use area charts?<\/h4>\n\n\n\n<p>The area charts can show the time series relation of the data, and different from the line charts, the area charts can show the quantity clearly.<\/p>\n\n\n\n<p><strong>Stacked area chart: <\/strong>It is used to visualize the relationship between the part and the whole, and to show the contribution of the part to the total amount.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071523I.png\" alt=\"stacked area chart\" class=\"wp-image-5978\"\/><\/figure>\n\n\n\n<p><strong>100% stacked:&nbsp;<\/strong>It is used to show the relationship between parts and whole. especially when the specific value of the whole quantity is not important.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071524I.png\" alt=\"100% stacked\" class=\"wp-image-5979\"\/><\/figure>\n\n\n\n<h4>How to design it?<\/h4>\n\n\n\n<ol><li><strong>Be readable:<\/strong>&nbsp;In stacked area charts, put the most variable data at the top, and the least variable data at the bottom.<\/li><\/ol>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071525I.png\" alt=\"how to design data visualization 1\" class=\"wp-image-5972\"\/><\/figure>\n\n\n\n<p><strong>2. The Y-axis starts at 0\uff1a<\/strong>The&nbsp;data&nbsp;would&nbsp;be more precise.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071526I.png\" alt=\"how to design data visualization 2\" class=\"wp-image-5973\"\/><\/figure>\n\n\n\n<p><strong>3. Don\u2019t display discrete data\uff1a <\/strong>Display&nbsp;the stable data like temperature rather than unstable data.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071527I.png\" alt=\"how to design data visualization 3\" class=\"wp-image-5974\"\/><\/figure>\n\n\n\n<p><strong>4. Don\u2019t show more than 4 groups of data categories\uff1a <\/strong>Too many data categories will make charts difficult to read.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071528I.png\" alt=\"how to design data visualization 4\" class=\"wp-image-5975\"\/><\/figure>\n\n\n\n<p><strong>5. Use transparent colors flexibly:&nbsp;<\/strong>Try to make sure you don\u2019t use overlap. If the overlap is unavoidable, you can use transparent colors<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071529I.png\" alt=\"how to design data visualization 5\" class=\"wp-image-5976\"\/><\/figure>\n\n\n\n<h3><span id=\"5_Scatter_Plot\">5) Scatter Plot<\/span><\/h3>\n\n\n\n<h4>When to use scatter plots?<\/h4>\n\n\n\n<p>A scatter plot shows the relationship between two sets of variables. Correlation can be shown when the data volume is large.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071530I.png\" alt=\"scatter plots\" class=\"wp-image-5989\"\/><\/figure>\n\n\n\n<br> <\/br>\n\n\n\n<h4>How to design it?<\/h4>\n\n\n\n<ol><li><strong>The Y-axis starts at 0:&nbsp;<\/strong><\/li><\/ol>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071531I.png\" alt=\"\" class=\"wp-image-5991\"\/><\/figure>\n\n\n\n<p><strong>2. Include multiple groups of variables:&nbsp;<\/strong>Use&nbsp;size&nbsp;and&nbsp;color&nbsp;to&nbsp;add&nbsp;variable<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071532I.png\" alt=\"data visualization 2\" class=\"wp-image-5992\"\/><\/figure>\n\n\n\n<p><strong>3.<\/strong>&nbsp;<strong>Use trend line:&nbsp;<\/strong>The&nbsp;trendline&nbsp;can&nbsp;display the trend and correlation.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071533I.png\" alt=\"data visualization 3\" class=\"wp-image-5993\"\/><\/figure>\n\n\n\n<p><strong>4. No more than two trendlines:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071534I.png\" alt=\"data visualization 4\" class=\"wp-image-5994\"\/><\/figure>\n\n\n\n<h3><span id=\"6_Bubble_Chart\">6) Bubble Chart<\/span><\/h3>\n\n\n\n<h4>When to use bubble charts?<\/h4>\n\n\n\n<p>When you want to show comparisons and rankings.<\/p>\n\n\n\n<p><strong>Bubble scatter plot:&nbsp;<\/strong>to display additional variables<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071535I.png\" alt=\"bubble scatter plot\" class=\"wp-image-5995\"\/><\/figure>\n\n\n\n<p><strong>Bubble map:&nbsp;<\/strong>to visualize the regional data<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071536I.png\" alt=\"bubble map\" class=\"wp-image-5996\"\/><\/figure>\n\n\n\n<h4>How to design it?<\/h4>\n\n\n\n<p><strong>1.Ensure the text label clear :<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071537I.png\" alt=\"bubble scatter plot 1\" class=\"wp-image-5998\"\/><\/figure>\n\n\n\n<p><strong>2. The bubble size should be appropriate:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071538I.png\" alt=\"bubble scatter plot 2\" class=\"wp-image-5999\"\/><\/figure>\n\n\n\n<p><strong>3.&nbsp;Don\u2019t&nbsp;use&nbsp;strange&nbsp;shapes<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071539I.png\" alt=\"bubble scatter plot 3\" class=\"wp-image-6000\"\/><\/figure>\n\n\n\n<h3><span id=\"7_Heat_Map\">7) Heat Map<\/span><\/h3>\n\n\n\n<h4>When to use heat maps?<\/h4>\n\n\n\n<p>Heat maps can display classified data, using a strong sense of color contrast to represent geographic areas or data lists.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071540I.png\" alt=\"heat map\" class=\"wp-image-6001\"\/><\/figure>\n\n\n\n<h4>How to design it?<\/h4>\n\n\n\n<p><strong>1.Use simple map outline:&nbsp;<\/strong>Distinct outline is distracting.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071541I.png\" alt=\"heat map 1\" class=\"wp-image-6002\"\/><\/figure>\n\n\n\n<p><strong>2. Select the appropriate data range\uff1a<\/strong> The data range should be between 3 and 5 groups. The data that is out of range is denoted by +\/-.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071542I.png\" alt=\"heat map 2\" class=\"wp-image-6003\"\/><\/figure>\n\n\n\n<p><strong>3. The&nbsp;pattern&nbsp;should&nbsp;be&nbsp;simple&nbsp;:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071543I.png\" alt=\"heat map 3\" class=\"wp-image-6004\"\/><\/figure>\n\n\n\n<p><strong>4. Use appropriate color:&nbsp;<\/strong>Intense color will lead to vision burden. Use monochrome, and adjust the shades to distinguish the regions better.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"https:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071544I.png\" alt=\"heat map 4\" class=\"wp-image-6005\"\/><\/figure>\n\n\n\n<p>These are the entry-level data visualization types. You can express your data correctly and meaningfully with these basic charts.<\/p>\n\n\n\n<p>However, when your data gets big, and data relationships get complicated, you need more&nbsp;advanced data visualization types.&nbsp;But keep in mind, the same thing that you need to&nbsp;<a rel=\"noreferrer noopener\" href=\"https:\/\/uxdesign.cc\/designers-need-to-understand-data-to-create-and-measure-business-impact-54d34b777dd5\" target=\"_blank\">understand your data.<\/a><\/p>\n\n\n\n<div class=\"wp-block-buttons\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-vivid-cyan-blue-to-vivid-purple-gradient-background has-text-color has-background\" href=\"https:\/\/www.fanruan.com\/en\/finereport\/download-trial-b\" style=\"border-radius:50px;color:#fffffa\" target=\"_blank\" rel=\"noreferrer noopener\">Try FineReport For Free<\/a><\/div>\n<\/div>\n\n\n\n<h2><span id=\"5_How_to_Design_Good_Data_Visualization\">5. How to Design Good Data Visualization?<\/span><\/h2>\n\n\n\n<p>Now, you know how to choose the right type of data visualization. <\/p>\n\n\n\n<p>But how to design good <strong><a href=\"https:\/\/www.finereport.com\/en\/data-visualization\/data-visualization-examples.html\" target=\"_blank\" rel=\"noreferrer noopener\">data visualization examples<\/a><\/strong>?<\/p>\n\n\n\n<p>For beginners, you can follow the <a rel=\"noreferrer noopener\" href=\"http:\/\/www.finereport.com\/en\/about-finereport\/how-can-beginners-design-cool-data-visualizations.html\" target=\"_blank\"><strong>design guide<\/strong><\/a> step by step. But no matter whether you&#8217;re a beginner or an expert, there are some tips to keep in mind when using it.<\/p>\n\n\n\n<h3 id=\"Whatisdatavisualization?Definition,ImportanceandTips-Knowyouraudience\"><span id=\"Know_your_audience\">Know your audience<\/span><\/h3>\n\n\n\n<p>Your audiences usually have different backgrounds. If your data visualization is aimed at professional audiences, you can interpret the data in more appropriate ways and technical terms. On the other hand, the general audience may need a clearer interpretation of the same data.<\/p>\n\n\n\n<p>It is also important to know the audience&#8217;s expectations of the data. What are the key points they want? You need to be present in the data.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"http:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071005I.jpg\" alt=\"data visualization step 1\uff1aknow your audience\" class=\"wp-image-5908\"\/><figcaption><em>From Media Training<\/em><\/figcaption><\/figure>\n\n\n\n<h3 id=\"Whatisdatavisualization?Definition,ImportanceandTips-Understandyourdata\"><span id=\"Understand_your_data\">Understand your data<\/span><\/h3>\n\n\n\n<p>After knowing your audience, you need to ensure the correctness of your data and understand your data clearly.&nbsp; If you do not understand your data, you cannot deliver your information to your audience<\/p>\n\n\n\n<h3 id=\"Whatisdatavisualization?Definition,ImportanceandTips-Lookforthestorybehindthedata\"><span id=\"Storytelling_with_data\">Storytelling with data<\/span><\/h3>\n\n\n\n<p>Your <strong><a href=\"https:\/\/www.finereport.com\/en\/reporting-tools\/report-designing.html\" target=\"_blank\" rel=\"noreferrer noopener\">report design<\/a><\/strong> should also <a rel=\"noreferrer noopener\" href=\"http:\/\/www.storytellingwithdata.com\/\" target=\"_blank\"><strong>convey a story<\/strong><\/a>, not the data itself but the information behind it. Using a story often means that the audience gets more insight from the data. It helps the audience deeply understand new information.<\/p>\n\n\n\n<p>Data visualization is a great storytelling tool because pictures tell a thousand stories and you should use it to your advantage. Telling a story through a data set is not difficult because you can use colors, fonts, and statements as part of your storytelling approach.<\/p>\n\n\n\n<figure class=\"wp-block-image\"><img src=\"http:\/\/www.finereport.com\/en\/wp-content\/themes\/blogs\/images\/2019071006I.png\" alt=\"storytelling with data visualization\"\/><figcaption><em>From <a href=\"https:\/\/www.finereport.com\/en\/\" target=\"_blank\" rel=\"noreferrer noopener\">FineReport<\/a><\/em><\/figcaption><\/figure>\n\n\n\n<h3 id=\"Whatisdatavisualization?Definition,ImportanceandTips-Keepitsimple\"><span id=\"Keep_it_simple\">Keep it simple<\/span><\/h3>\n\n\n\n<p>There are many data visualization techniques, but it doesn&#8217;t mean you need to&nbsp;include too many different techniques for it.&nbsp;You need to keep your data visualization techniques simple.&nbsp;Firstly, <a href=\"http:\/\/www.finereport.com\/en\/about-finereport\/compare-6-types-and-14-data-visualization-tools.html\" target=\"_blank\" rel=\"noreferrer noopener\">compare the data visualization tool<\/a> and choose one based on your needs. After that, pick the right data visualization type and the<a href=\"http:\/\/www.finereport.com\/en\/data-analysis\/4-principles-to-choose-the-perfect-color-combination-for-your-data-visualization.html\" target=\"_blank\" rel=\"noreferrer noopener\"> perfect color combination<\/a> for your design.<\/p>\n\n\n\n<p>Also, keep your visualization effects simple. Too many elements can corrupt the design and skew the data.<\/p>\n\n\n\n<p>You need to remember:<\/p>\n\n\n\n<p><strong><span class=\"has-inline-color has-luminous-vivid-amber-color\">The benefit of data visualization is to present large amounts of data intuitively. If your displays seem difficult, you&#8217;ll need to go back and see if you&#8217;re using the wrong data presentation or including too much verbatim information. <\/span><\/strong><\/p>\n\n\n\n<div class=\"wp-block-buttons\">\n<div class=\"wp-block-button\"><a class=\"wp-block-button__link has-vivid-cyan-blue-to-vivid-purple-gradient-background has-text-color has-background\" href=\"https:\/\/www.fanruan.com\/en\/finereport\/download-trial-b\" style=\"border-radius:50px;color:#fffffa\" target=\"_blank\" rel=\"noreferrer noopener\">Try FineReport For Free<\/a><\/div>\n<\/div>\n\n\n\n<p><a href=\"https:\/\/www.finereport.com\/en\/activation\"><img loading=\"lazy\" width=\"1720\" height=\"566\" class=\"aligncenter wp-image-9575 size-full\" src=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020031701I.png\" alt=\"data visualization software\" srcset=\"https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020031701I.png 1720w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020031701I-300x99.png 300w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020031701I-768x253.png 768w, https:\/\/www.finereport.com\/en\/wp-content\/uploads\/2019\/07\/2020031701I-1024x337.png 1024w\" sizes=\"(max-width: 1720px) 100vw, 1720px\" \/><\/a><\/p>\n\n\n\n\n\n<h2><span id=\"You_might_also_be_interested_in8230\">You might also be interested in&#8230;<\/span><\/h2>\n\n\n\n<p><a href=\"http:\/\/www.finereport.com\/en\/about-finereport\/how-can-beginners-design-cool-data-visualizations.html\">How Can Beginners Design Cool Data Visualizations?<\/a><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/www.finereport.com\/en\/data-visualization\/best-data-visualization-software-free-and-commercial.html\" target=\"_blank\">Top 20 Best Data Visualization Software in 2025: Free and Commercial<\/a><\/p>\n\n\n\n<p><a rel=\"noreferrer noopener\" href=\"https:\/\/www.finereport.com\/en\/data-visualization\/5-most-common-mistakes-in-data-visualization.html\" target=\"_blank\">5 Most Common Mistakes in Data Visualization<\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>In short, data visualization is presenting structured or unstructured data graphically to present information hidden in the data directly to people.<\/p>\n","protected":false},"author":1,"featured_media":5927,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":[],"categories":[854],"tags":[118,117],"yst_prominent_words":[1049,1036,574,1053,177,3196,1023,805,3205,3204,1057,6193,899,898,1052,1084,882,195,1024],"_links":{"self":[{"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/posts\/5898"}],"collection":[{"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/comments?post=5898"}],"version-history":[{"count":39,"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/posts\/5898\/revisions"}],"predecessor-version":[{"id":19831,"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/posts\/5898\/revisions\/19831"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/media\/5927"}],"wp:attachment":[{"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/media?parent=5898"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/categories?post=5898"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/tags?post=5898"},{"taxonomy":"yst_prominent_words","embeddable":true,"href":"https:\/\/www.finereport.com\/en\/wp-json\/wp\/v2\/yst_prominent_words?post=5898"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}