{"id":66081,"date":"2024-11-02T12:13:58","date_gmt":"2024-11-02T06:43:58","guid":{"rendered":"https:\/\/www.guvi.in\/blog\/?p=66081"},"modified":"2026-11-07T12:58:44","modified_gmt":"2026-11-07T07:28:44","slug":"data-visualization-project-ideas","status":"publish","type":"post","link":"https:\/\/www.guvi.in\/blog\/data-visualization-project-ideas\/","title":{"rendered":"10 Data Visualization Project Ideas with Source Code"},"content":{"rendered":"\n<p>Data visualization helps turn complex datasets into clear charts, dashboards, and insights. Building practical projects is a great way to improve your ability to analyze information and communicate findings.<\/p>\n\n\n\n<p>Whether you&#8217;re a beginner or already familiar with visualization tools, these 10 data visualization project ideas offer opportunities to work with different datasets, chart types, and technologies. Each project includes its difficulty level, learning outcomes, suggested tools, and visualization techniques.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>TL;DR<\/strong><\/h2>\n\n\n\n<ul>\n<li>Explore 10 data visualization projects across health, finance, climate, travel, and social media.<\/li>\n\n\n\n<li>Beginners can start with movie box office, climate, and social media dashboards.<\/li>\n\n\n\n<li>Intermediate projects introduce population, airline, and sales funnel analysis.<\/li>\n\n\n\n<li>Advanced projects include energy analytics and sentiment analysis.<\/li>\n\n\n\n<li>Practice with Python, Tableau, Power BI, and other visualization tools.<\/li>\n\n\n\n<li>Document your findings and publish your dashboards to strengthen your portfolio.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>10 Best Data Visualization Project Ideas<\/strong><\/h2>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>1. COVID-19 Global Cases Dashboard<\/strong><\/h3>\n\n\n\n<p>Create an interactive dashboard to track COVID-19 cases, recoveries, and reported deaths across countries and over time.<\/p>\n\n\n\n<ul>\n<li><strong>Difficulty:<\/strong> Intermediate<\/li>\n\n\n\n<li><strong>Tools:<\/strong> Tableau, <a href=\"https:\/\/www.guvi.in\/hub\/python\/\" target=\"_blank\" rel=\"noreferrer noopener\">Python<\/a>, Plotly<\/li>\n\n\n\n<li><strong>Visualizations:<\/strong> Interactive maps, line charts, and bar charts<\/li>\n\n\n\n<li><strong>Learning Outcomes:<\/strong> <a href=\"https:\/\/www.guvi.in\/blog\/data-cleaning-in-data-science\/\" target=\"_blank\" rel=\"noreferrer noopener\">Data cleaning<\/a>, API integration, and interactive mapping<\/li>\n\n\n\n<li><strong>Estimated Time:<\/strong> 1\u20132 weeks<\/li>\n\n\n\n<li><strong>Source Code:<\/strong> <a href=\"https:\/\/github.com\/lephanthuymai\/COVID-19-Dashboard\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">[COVID-19 Global Dashboard]<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>2. Stock Market Analysis Dashboard<\/strong><\/h3>\n\n\n\n<p>Analyze historical stock prices and trading volumes to identify market trends and compare stock performance.<\/p>\n\n\n\n<ul>\n<li><strong>Difficulty:<\/strong> Intermediate<\/li>\n\n\n\n<li><strong>Tools:<\/strong> R, ggplot2, Shiny<\/li>\n\n\n\n<li><strong>Visualizations:<\/strong> Candlestick charts, line charts, and histograms<\/li>\n\n\n\n<li><strong>Learning Outcomes:<\/strong> Financial data analysis, trend identification, and time-series visualization<\/li>\n\n\n\n<li><strong>Estimated Time:<\/strong> 1\u20132 weeks<\/li>\n\n\n\n<li><strong>Source Code:<\/strong> <a href=\"https:\/\/gist.github.com\/JAlcocerT\/879fecd6ae9bccaa0175d1c180a032cd\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">[Stock Analysis]<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>3. Climate Change Heat Map<\/strong><\/h3>\n\n\n\n<p>Visualize temperature changes across regions and years using historical climate datasets. Use color gradients to highlight variations and long-term patterns.<\/p>\n\n\n\n<ul>\n<li><strong>Difficulty:<\/strong> Beginner<\/li>\n\n\n\n<li><strong>Tools:<\/strong> Python, <a href=\"https:\/\/www.guvi.in\/blog\/fundamentals-of-matplotlib\/\" target=\"_blank\" rel=\"noreferrer noopener\">Matplotlib<\/a>, Seaborn<\/li>\n\n\n\n<li><strong>Visualizations:<\/strong> Heatmaps and line charts<\/li>\n\n\n\n<li><strong>Learning Outcomes:<\/strong> Working with time-based data and creating heatmaps<\/li>\n\n\n\n<li><strong>Estimated Time:<\/strong> 3\u20135 days<\/li>\n\n\n\n<li><strong>Source Code:<\/strong> <a href=\"https:\/\/github.com\/ramyacp14\/global-warming-analysis\" target=\"_blank\" rel=\"noreferrer noopener nofollow\"><a href=\"https:\/\/github.com\/ramyacp14\/global-warming-analysis\" target=\"_blank\" rel=\"noopener\">[Climate Change Analysis]<\/a><\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>4. Movie Box Office Dashboard<\/strong><\/h3>\n\n\n\n<p>Explore movie revenue, genres, and audience ratings to understand patterns in box office performance.<\/p>\n\n\n\n<ul>\n<li><strong>Difficulty:<\/strong> Beginner<\/li>\n\n\n\n<li><strong>Tools:<\/strong> <a href=\"https:\/\/www.guvi.in\/blog\/best-resources-to-learn-tableau\/\" target=\"_blank\" rel=\"noreferrer noopener\">Tableau<\/a>, Google Sheets<\/li>\n\n\n\n<li><strong>Visualizations:<\/strong> Bar charts and bubble charts<\/li>\n\n\n\n<li><strong>Learning Outcomes:<\/strong> Categorical data analysis and dashboard creation<\/li>\n\n\n\n<li><strong>Estimated Time:<\/strong> 5\u20137 days<\/li>\n\n\n\n<li><strong>Source Code:<\/strong> <a href=\"https:\/\/github.com\/rsingh26\/Tableau\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">[Box Office Dashboard]<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>5. Population Growth Analysis<\/strong><\/h3>\n\n\n\n<p>Use historical census data to compare population growth across regions and identify demographic trends.<\/p>\n\n\n\n<ul>\n<li><strong>Difficulty:<\/strong> Intermediate<\/li>\n\n\n\n<li><strong>Tools:<\/strong> <a href=\"https:\/\/www.guvi.in\/hub\/power-bi-tutorial\/\" target=\"_blank\" rel=\"noreferrer noopener\">Power BI<\/a>, SQL<\/li>\n\n\n\n<li><strong>Visualizations:<\/strong> Line charts, area charts, and histograms<\/li>\n\n\n\n<li><strong>Learning Outcomes:<\/strong> Data aggregation, demographic analysis, and trend comparison<\/li>\n\n\n\n<li><strong>Estimated Time:<\/strong> 1 week<\/li>\n\n\n\n<li><strong>Source Code:<\/strong> <a href=\"https:\/\/github.com\/kahethu\/world-population\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">[Population Growth Project]<\/a><\/li>\n<\/ul>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=data-visualization-project-ideas\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI\u2019s Data Science Course<svg class=\"guvi-btn-chevron\" style=\"transform:rotate(0deg);\" width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M9.39935 18.1007C9.0674 17.7687 9.0674 17.2305 9.39935 16.8986L13.6922 12.6057C13.7508 12.5471 13.7508 12.4521 13.6922 12.3935L9.39935 8.10065C9.0674 7.7687 9.0674 7.23051 9.39935 6.89857C9.7313 6.56662 10.2695 6.56662 10.6014 6.89857L14.8943 11.1915C15.6168 11.9139 15.6168 13.0853 14.8943 13.8078L10.6014 18.1007C10.2695 18.4326 9.7313 18.4326 9.39935 18.1007Z\" fill=\"currentColor\"\/><\/svg><\/a><\/div>\n\n\n<h3 class=\"wp-block-heading\"><strong>6. E-Commerce Sales Funnel<\/strong><\/h3>\n\n\n\n<p>Build a dashboard that tracks customer activity from website visits to completed purchases. Identify where potential customers leave the buying process.<\/p>\n\n\n\n<ul>\n<li><strong>Difficulty:<\/strong> Intermediate<\/li>\n\n\n\n<li><strong>Tools:<\/strong> Power BI, Google Data Studio<\/li>\n\n\n\n<li><strong>Visualizations:<\/strong> Funnel charts, pie charts, and bar charts<\/li>\n\n\n\n<li><strong>Learning Outcomes:<\/strong> Conversion analysis, customer journey tracking, and segmentation<\/li>\n\n\n\n<li><strong>Estimated Time:<\/strong> 1\u20132 weeks<\/li>\n\n\n\n<li><strong>Source Code:<\/strong> <a href=\"https:\/\/github.com\/Swati-s-Sahu\/E-Commerce-Sales-Dashboard-Using-PowerBI\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">[E-Commerce Sales Analysis Dashboard]<\/a><\/li>\n<\/ul>\n\n\n\n<figure class=\"wp-block-pullquote\"><blockquote><p><strong>Pro Tip:<\/strong> Include interactive filters, clear labels, and meaningful charts in your projects to make complex data easier to explore and understand.<\/p><\/blockquote><\/figure>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>7. Energy Consumption Visualization<\/strong><\/h3>\n\n\n\n<p>Analyze energy usage across regions and sectors to identify consumption patterns and compare energy demand.<\/p>\n\n\n\n<ul>\n<li><strong>Difficulty:<\/strong> Advanced<\/li>\n\n\n\n<li><strong>Tools:<\/strong> Power BI, <a href=\"https:\/\/en.wikipedia.org\/wiki\/D3.js\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">D3.js<\/a>, Tableau<\/li>\n\n\n\n<li><strong>Visualizations:<\/strong> Stacked bar charts, area charts, and maps<\/li>\n\n\n\n<li><strong>Learning Outcomes:<\/strong> Data aggregation, energy trend analysis, and geographic visualization<\/li>\n\n\n\n<li><strong>Estimated Time:<\/strong> 2\u20133 weeks<\/li>\n\n\n\n<li><strong>Source Code:<\/strong> <a href=\"https:\/\/github.com\/yashrajgithub\/energy-consumption-analysis-using-power-bi\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">[Energy Analytics]<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>8. Twitter Sentiment Analysis Dashboard<\/strong><\/h3>\n\n\n\n<p>Analyze social media posts to understand sentiment around selected topics, keywords, or hashtags.<\/p>\n\n\n\n<ul>\n<li><strong>Difficulty:<\/strong> Advanced<\/li>\n\n\n\n<li><strong>Tools:<\/strong> Python, NLTK, Matplotlib, Plotly<\/li>\n\n\n\n<li><strong>Visualizations:<\/strong> Word clouds, bar charts, and pie charts<\/li>\n\n\n\n<li><strong>Learning Outcomes:<\/strong> Natural Language Processing, text cleaning, and sentiment visualization<\/li>\n\n\n\n<li><strong>Estimated Time:<\/strong> 2\u20133 weeks<\/li>\n\n\n\n<li><strong>Source Code:<\/strong> <a href=\"https:\/\/github.com\/SuperAmy99\/Sentiment-Analysis\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">[Twitter Sentiment Dashboard]<\/a><\/li>\n<\/ul>\n\n\n\n<div style=\"background-color: #099f4e; border: 3px solid #110053; border-radius: 12px; padding: 18px 22px; color: #FFFFFF; font-size: 18px; font-family: Montserrat, Helvetica, sans-serif; line-height: 1.6; box-shadow: 0 4px 12px rgba(0, 0, 0, 0.15); max-width: 750px;\"> \n  <strong style=\"font-size: 22px; color: #FFFFFF;\">\ud83d\udca1 Did You Know?<\/strong> \n  <br \/><br \/> \nInteractive data visualizations help users identify trends, patterns, and outliers more easily than looking at raw data alone.\n<\/div>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>9. Airline Delay Analysis<\/strong><\/h3>\n\n\n\n<p>Explore flight delay data to identify patterns across airlines, routes, locations, and travel periods.<\/p>\n\n\n\n<ul>\n<li><strong>Difficulty:<\/strong> Intermediate<\/li>\n\n\n\n<li><strong>Tools:<\/strong> Tableau, Python, Seaborn<\/li>\n\n\n\n<li><strong>Visualizations:<\/strong> Line charts, maps, and bar charts<\/li>\n\n\n\n<li><strong>Learning Outcomes:<\/strong> Time-series analysis, geographic visualization, and trend identification<\/li>\n\n\n\n<li><strong>Estimated Time:<\/strong> 1 week<\/li>\n\n\n\n<li><strong>Source Code:<\/strong> <a href=\"https:\/\/github.com\/ksatola\/US-Airline-Delay-Statistics\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">[Flight Delay Analysis]<\/a><\/li>\n<\/ul>\n\n\n\n<h3 class=\"wp-block-heading\"><strong>10. Social Media Engagement Analysis<\/strong><\/h3>\n\n\n\n<p>Create a dashboard to compare likes, shares, comments, and other engagement metrics across platforms and content types.<\/p>\n\n\n\n<ul>\n<li><strong>Difficulty:<\/strong> Beginner<\/li>\n\n\n\n<li><strong>Tools:<\/strong> Google Data Studio, SQL<\/li>\n\n\n\n<li><strong>Visualizations:<\/strong> Line charts, bar charts, and area charts<\/li>\n\n\n\n<li><strong>Learning Outcomes:<\/strong> Social media data handling, engagement tracking, and trend analysis<\/li>\n\n\n\n<li><strong>Estimated Time:<\/strong> 5\u20137 days<\/li>\n\n\n\n<li><strong>Source Code:<\/strong> <a href=\"https:\/\/github.com\/MisaghMomeniB\/Social-Engagement-Analysis\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">[Social Media Dashboard]<\/a><\/li>\n<\/ul>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=data-visualization-project-ideas\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI\u2019s Data Science Course<svg class=\"guvi-btn-chevron\" style=\"transform:rotate(0deg);\" width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M9.39935 18.1007C9.0674 17.7687 9.0674 17.2305 9.39935 16.8986L13.6922 12.6057C13.7508 12.5471 13.7508 12.4521 13.6922 12.3935L9.39935 8.10065C9.0674 7.7687 9.0674 7.23051 9.39935 6.89857C9.7313 6.56662 10.2695 6.56662 10.6014 6.89857L14.8943 11.1915C15.6168 11.9139 15.6168 13.0853 14.8943 13.8078L10.6014 18.1007C10.2695 18.4326 9.7313 18.4326 9.39935 18.1007Z\" fill=\"currentColor\"\/><\/svg><\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>How to Build a Strong Data Visualization Portfolio<\/strong><\/h2>\n\n\n\n<p>Completing a dashboard is only part of the process. Presenting your work clearly helps others understand your analytical skills.<\/p>\n\n\n\n<p>Follow these practices:<\/p>\n\n\n\n<ol>\n<li><strong>Choose varied projects:<\/strong> Include projects from different domains, such as finance, healthcare, marketing, and climate.<\/li>\n\n\n\n<li><strong>Use suitable datasets:<\/strong> Check data quality, relevance, and usage permissions before starting.<\/li>\n\n\n\n<li><strong>Select appropriate charts:<\/strong> Choose visualizations that make comparisons, trends, and patterns easy to understand.<\/li>\n\n\n\n<li><strong>Explain your findings:<\/strong> Add a short summary of the problem, analysis, and key insights.<\/li>\n\n\n\n<li><strong>Publish your work:<\/strong> Share interactive dashboards through Tableau Public or other suitable platforms.<\/li>\n\n\n\n<li><strong>Document your process:<\/strong> Include the tools, data sources, methods, and limitations in your project documentation.<\/li>\n<\/ol>\n\n\n\n<p>Learning data visualization alongside data analysis, SQL, and Python can help you develop practical skills for working with data. Explore <strong>HCL GUVI&#8217;s Data Science Course<\/strong> to strengthen your understanding through structured learning and hands-on projects.<\/p>\n\n\n<div class=\"wp-block-guvi-cta-button\" style=\"justify-content:center;\"><a href=\"https:\/\/www.guvi.in\/zen-class\/data-science-course\/?utm_source=blog&#038;utm_medium=cta-button&#038;utm_campaign=data-visualization-project-ideas\" class=\"guvi-btn-enquire\" target=\"_blank\" rel=\"noopener noreferrer\">Explore HCL GUVI\u2019s Data Science Course<svg class=\"guvi-btn-chevron\" style=\"transform:rotate(0deg);\" width=\"16\" height=\"16\" viewBox=\"0 0 24 24\" fill=\"none\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" aria-hidden=\"true\"><path fill-rule=\"evenodd\" clip-rule=\"evenodd\" d=\"M9.39935 18.1007C9.0674 17.7687 9.0674 17.2305 9.39935 16.8986L13.6922 12.6057C13.7508 12.5471 13.7508 12.4521 13.6922 12.3935L9.39935 8.10065C9.0674 7.7687 9.0674 7.23051 9.39935 6.89857C9.7313 6.56662 10.2695 6.56662 10.6014 6.89857L14.8943 11.1915C15.6168 11.9139 15.6168 13.0853 14.8943 13.8078L10.6014 18.1007C10.2695 18.4326 9.7313 18.4326 9.39935 18.1007Z\" fill=\"currentColor\"\/><\/svg><\/a><\/div>\n\n\n<h2 class=\"wp-block-heading\"><strong>Conclusion<\/strong><\/h2>\n\n\n\n<p>Data visualization projects offer practical experience in analyzing datasets and communicating insights. From climate change heatmaps to stock market dashboards and social media analytics, each project helps you explore different data types and visualization techniques.<\/p>\n\n\n\n<p>Choose a project that matches your current skills, work with a suitable dataset, and explain what your visualizations reveal. A few well-documented projects can help demonstrate your ability to turn raw data into meaningful information.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><strong>FAQs<\/strong><\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1794034982432\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>1. What are some easy data visualization project ideas for beginners?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Movie box office dashboards, climate change heatmaps, and social media engagement dashboards are suitable starting points.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1794034987853\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>2. Why are data visualization projects important for beginners?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>They provide hands-on experience with datasets, chart selection, dashboard creation, and communicating insights.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1794034997886\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>3. What skills can beginners learn from data visualization projects?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Beginners can develop data cleaning, data analysis, chart selection, dashboard design, and data storytelling skills.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1794035012023\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>4. Which data visualization project is suitable for someone with no programming experience?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>A movie box office dashboard using Tableau or Google Sheets is a good starting point because it focuses on organizing data and creating charts.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1794035033396\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><strong>5. How long does a beginner-level data visualization project take?<\/strong><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>The source examples estimate around 3\u20137 days for simpler projects. The actual time depends on dataset preparation and dashboard complexity.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>Data visualization helps turn complex datasets into clear charts, dashboards, and insights. Building practical projects is a great way to improve your ability to analyze information and communicate findings. Whether you&#8217;re a beginner or already familiar with visualization tools, these 10 data visualization project ideas offer opportunities to work with different datasets, chart types, and [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":67066,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[715,16,740],"tags":[],"views":"24453","authorinfo":{"name":"HCL GUVI","url":"https:\/\/www.guvi.in\/blog\/author\/admin\/"},"thumbnailURL":"https:\/\/www.guvi.in\/blog\/wp-content\/uploads\/2024\/11\/best_data_visualization_project_ideas_with_source_code_-300x116.webp","_links":{"self":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/66081"}],"collection":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/comments?post=66081"}],"version-history":[{"count":13,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/66081\/revisions"}],"predecessor-version":[{"id":146622,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/posts\/66081\/revisions\/146622"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media\/67066"}],"wp:attachment":[{"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/media?parent=66081"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/categories?post=66081"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.guvi.in\/blog\/wp-json\/wp\/v2\/tags?post=66081"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}