{"id":39662,"date":"2026-09-03T03:44:07","date_gmt":"2026-09-03T06:44:07","guid":{"rendered":"https:\/\/statanalytica.com\/blog\/?p=39662"},"modified":"2026-09-03T03:44:08","modified_gmt":"2026-09-03T06:44:08","slug":"pandas-project-ideas","status":"publish","type":"post","link":"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/","title":{"rendered":"20+ Pandas Project Ideas for Students &amp; Beginners (2026)"},"content":{"rendered":"\n<p>If you&#8217;re learning data analysis with Python, there&#8217;s one truth every experienced data professional will tell you: reading tutorials only gets you so far. The real learning happens when you sit down with a messy dataset and try to make sense of it yourself. That&#8217;s exactly why we&#8217;ve put together this list of pandas project ideas \u2014 a hands-on way to turn theory into practical, job-ready skills.<\/p>\n\n\n\n<p>Whether you&#8217;re a student building your first portfolio, a self-taught beginner trying to move past &#8220;tutorial hell,&#8221; or someone prepping for a data analyst interview, this collection of pandas project ideas is designed to meet you where you are. We&#8217;ve organized everything by difficulty level, added a full walkthrough example, and included tips on where to find datasets \u2014 so you can start building today.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"why-practice-with-pandas-projects\"><\/span><strong>Why Practice with Pandas Projects?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2><div id=\"ez-toc-container\" class=\"ez-toc-v2_0_82_2 counter-hierarchy ez-toc-counter ez-toc-light-blue ez-toc-container-direction\">\n<p class=\"ez-toc-title\" style=\"cursor:inherit\">Table of Contents<\/p>\n<label for=\"ez-toc-cssicon-toggle-item-6a991faf242a3\" class=\"ez-toc-cssicon-toggle-label\"><span class=\"\"><span class=\"eztoc-hide\" style=\"display:none;\">Toggle<\/span><span class=\"ez-toc-icon-toggle-span\"><svg style=\"fill: #ff5104;color:#ff5104\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" class=\"list-377408\" width=\"20px\" height=\"20px\" viewBox=\"0 0 24 24\" fill=\"none\"><path d=\"M6 6H4v2h2V6zm14 0H8v2h12V6zM4 11h2v2H4v-2zm16 0H8v2h12v-2zM4 16h2v2H4v-2zm16 0H8v2h12v-2z\" fill=\"currentColor\"><\/path><\/svg><svg style=\"fill: #ff5104;color:#ff5104\" class=\"arrow-unsorted-368013\" xmlns=\"http:\/\/www.w3.org\/2000\/svg\" width=\"10px\" height=\"10px\" viewBox=\"0 0 24 24\" version=\"1.2\" baseProfile=\"tiny\"><path d=\"M18.2 9.3l-6.2-6.3-6.2 6.3c-.2.2-.3.4-.3.7s.1.5.3.7c.2.2.4.3.7.3h11c.3 0 .5-.1.7-.3.2-.2.3-.5.3-.7s-.1-.5-.3-.7zM5.8 14.7l6.2 6.3 6.2-6.3c.2-.2.3-.5.3-.7s-.1-.5-.3-.7c-.2-.2-.4-.3-.7-.3h-11c-.3 0-.5.1-.7.3-.2.2-.3.5-.3.7s.1.5.3.7z\"\/><\/svg><\/span><\/span><\/label><input type=\"checkbox\"  id=\"ez-toc-cssicon-toggle-item-6a991faf242a3\" checked aria-label=\"Toggle\" \/><nav><ul class='ez-toc-list ez-toc-list-level-1 ' ><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-1\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#why-practice-with-pandas-projects\" >Why Practice with Pandas Projects?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-2\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#how-to-choose-the-right-pandas-project-idea\" >How to Choose the Right Pandas Project Idea<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-3\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#pandas-project-ideas-for-beginners-students\" >Pandas Project Ideas for Beginners Students<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-4\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#1-movie-ratings-analysis\" >1. Movie Ratings Analysis&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-5\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#2-titanic-survival-analysis\" >2. Titanic Survival Analysis&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-6\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#3-personal-expense-tracker\" >3. Personal Expense Tracker&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-7\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#4-weather-data-explorer\" >4. Weather Data Explorer&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-8\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#5-online-retail-sales-summary\" >5. Online Retail Sales Summary&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-9\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#6-student-grades-tracker\" >6. Student Grades Tracker&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-10\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#7-olympic-medal-counter\" >7. Olympic Medal Counter&nbsp;<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-11\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#pandas-project-ideas-for-intermediate-students\" >Pandas Project Ideas for Intermediate Students<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-12\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#8-e-commerce-customer-segmentation\" >8. E-Commerce Customer Segmentation&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-13\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#9-stock-price-trend-analysis\" >9. Stock Price Trend Analysis&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-14\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#10-job-market-analysis\" >10. Job Market Analysis&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-15\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#11-flight-delay-analysis\" >11. Flight Delay Analysis&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-16\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#12-sports-statistics-dashboard\" >12. Sports Statistics Dashboard&nbsp;&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-17\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#13-restaurant-inspection-data\" >13. Restaurant Inspection Data&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-18\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#14-employee-attrition-analysis\" >14. Employee Attrition Analysis&nbsp;<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-19\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#pandas-project-ideas-for-advanced-learners\" >Pandas Project Ideas for Advanced Learners<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-20\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#15-time-series-sales-forecasting-prep\" >15. Time-Series Sales Forecasting Prep&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-21\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#16-large-dataset-optimization-challenge\" >16. Large Dataset Optimization Challenge&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-22\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#17-multi-source-data-pipeline\" >17. Multi-Source Data Pipeline&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-23\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#18-customer-churn-prediction-prep\" >18. Customer Churn Prediction Prep&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-24\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#19-financial-portfolio-analyzer\" >19. Financial Portfolio Analyzer&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-25\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#20-real-time-data-dashboard\" >20. Real-Time Data Dashboard&nbsp;<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-26\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#21-housing-price-prediction-data-prep\" >21. Housing Price Prediction Data Prep&nbsp;<\/a><\/li><\/ul><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-27\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#pandas-project-ideas-for-students\" >Pandas Project Ideas for Students<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-28\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#python-pandas-project-ideas-with-source-code\" >Python Pandas Project Ideas with Source Code<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-29\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#pandas-project-example-%e2%80%94-step-by-step-walkthrough\" >Pandas Project Example \u2014 Step-by-Step Walkthrough<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-30\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#where-to-find-datasets-for-your-pandas-projects\" >Where to Find Datasets for Your Pandas Projects<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-31\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#common-mistakes-to-avoid-when-working-on-pandas-projects\" >Common Mistakes to Avoid When Working on Pandas Projects<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-32\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#tips-to-get-the-most-out-of-these-pandas-projects\" >Tips to Get the Most Out of These Pandas Projects<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-33\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#conclusion\" >Conclusion<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-2'><a class=\"ez-toc-link ez-toc-heading-34\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#faqs\" >FAQs<\/a><ul class='ez-toc-list-level-3' ><li class='ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-35\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#1-what-are-good-pandas-project-ideas-for-beginners\" >1. What are good pandas project ideas for beginners?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-36\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#2-where-can-i-find-pandas-project-ideas-with-source-code\" >2. Where can I find pandas project ideas with source code?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-37\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#3-how-long-does-it-take-to-complete-a-pandas-project\" >3. How long does it take to complete a pandas project?<\/a><\/li><li class='ez-toc-page-1 ez-toc-heading-level-3'><a class=\"ez-toc-link ez-toc-heading-38\" href=\"https:\/\/statanalytica.com\/blog\/pandas-project-ideas\/#4-can-pandas-projects-help-me-get-a-data-analyst-job\" >4. Can pandas projects help me get a data analyst job?<\/a><\/li><\/ul><\/li><\/ul><\/nav><\/div>\n\n\n\n\n<p>Pandas is the backbone of data analysis in Python. It&#8217;s used to clean, transform, filter, group, and summarize data \u2014 skills that show up in virtually every data-related job, from data analyst to data scientist to machine learning engineer.<\/p>\n\n\n\n<p>Working through these hands-on projects helps you:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Build muscle memory<\/strong> for common operations like groupby(), merge(), pivot_table(), and apply()<\/li>\n\n\n\n<li><strong>Learn to handle messy, real-world data<\/strong> \u2014 missing values, inconsistent formatting, duplicate rows<\/li>\n\n\n\n<li><strong>Understand the full analysis workflow<\/strong>, from importing raw data to producing a clear, visual conclusion<\/li>\n\n\n\n<li><strong>Create portfolio pieces<\/strong> that recruiters and hiring managers actually want to see<\/li>\n\n\n\n<li><strong>Develop problem-solving instincts<\/strong> that no textbook can teach you<\/li>\n<\/ul>\n\n\n\n<p>Unlike passive video tutorials, projects force you to make decisions: Which columns matter? How should I handle nulls? What&#8217;s the best way to visualize this trend? These decisions are exactly what separates someone who&#8217;s &#8220;watched pandas tutorials&#8221; from someone who can actually use pandas on the job.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"how-to-choose-the-right-pandas-project-idea\"><\/span><strong>How to Choose the Right Pandas Project Idea<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Not every project idea is right for every skill level. Before diving in, consider:<\/p>\n\n\n\n<p><strong>1. Your current skill level:<\/strong> If you&#8217;re brand new to pandas, start with a single, clean dataset and basic operations like filtering and sorting. Save multi-dataset merges and time-series work for later.<\/p>\n\n\n\n<p><strong>2. Dataset availability:<\/strong> Look for projects where you can easily find good data \u2014 Kaggle, the UCI Machine Learning Repository, and government open-data portals are goldmines for free datasets.<\/p>\n\n\n\n<p><strong>3. Your learning goal:<\/strong> Are you preparing for interviews? Building a portfolio? Exploring a specific industry like finance or healthcare? Pick projects that align with where you want to go.<\/p>\n\n\n\n<p><strong>4. Time commitment:<\/strong> Some projects can be finished in an afternoon; others (like building a full dashboard) might take a week. Match the project to the time you actually have.<\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-background has-fixed-layout\" style=\"background:linear-gradient(135deg,rgb(255,245,203) 0%,rgb(182,227,212) 100%,rgb(51,167,181) 100%)\"><tbody><tr><td><strong>Also Read:<\/strong> <em>If you&#8217;re also exploring machine learning, don&#8217;t miss our guide on<\/em><a href=\"https:\/\/statanalytica.com\/blog\/coolest-predictor-model-project-ideas\/\" target=\"_blank\" rel=\"noreferrer noopener\"><em> coolest predictor model project ideas<\/em><\/a><em> to take your skills a step further.<\/em>\u00a0<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"pandas-project-ideas-for-beginners-students\"><\/span><strong>Pandas Project Ideas for Beginners Students<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>These beginner-friendly projects only require basic pandas syntax \u2014 reading CSVs, filtering rows, and simple aggregations. They&#8217;re the perfect starting point if you&#8217;re a student or just finished a pandas crash course.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"1-movie-ratings-analysis\"><\/span><strong>1. Movie Ratings Analysis&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Load an IMDb or MovieLens dataset and find the highest-rated movies by genre, decade, or director. A perfect starting project for beginners to practice basic filtering, sorting, and groupby operations.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"2-titanic-survival-analysis\"><\/span><strong>2. Titanic Survival Analysis&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>A classic beginner dataset; explore survival rates based on age, gender, and passenger class. You&#8217;ll learn to handle missing values and create simple visualizations in this project.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"3-personal-expense-tracker\"><\/span><strong>3. Personal Expense Tracker&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Import your own bank statement CSV and track expenses by month and category. This gives you hands-on experience working with real-life, personal data.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"4-weather-data-explorer\"><\/span><strong>4. Weather Data Explorer&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Analyze a historical weather dataset to find temperature trends, rainiest months, and seasonal patterns. Great practice for date handling and basic aggregation functions.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"5-online-retail-sales-summary\"><\/span><strong>5. Online Retail Sales Summary&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Calculate total revenue, best-selling products, and monthly trends from a sample e-commerce dataset. Ideal for practicing groupby and aggregation functions like sum and mean.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"6-student-grades-tracker\"><\/span><strong>6. Student Grades Tracker&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Build a simple system that calculates averages and identifies top-performing students. This helps clarify concepts like conditional filtering and sorting.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"7-olympic-medal-counter\"><\/span><strong>7. Olympic Medal Counter&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Analyze historical Olympic data to see which countries and sports win the most medals. A good project for understanding groupby and pivot table basics.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"pandas-project-ideas-for-intermediate-students\"><\/span><strong>Pandas Project Ideas for Intermediate Students<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Once you&#8217;re comfortable with the basics, these projects push you into merging multiple datasets, using groupby with multiple conditions, and building pivot tables. This is where you start thinking like a real data analyst.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"8-e-commerce-customer-segmentation\"><\/span><strong>8. E-Commerce Customer Segmentation&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Merge order and customer data, then group customers by purchase frequency and spend (a basic RFM analysis). Great practice for merging multiple datasets.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"9-stock-price-trend-analysis\"><\/span><strong>9. Stock Price Trend Analysis&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Pull historical stock data and calculate moving averages, daily returns, and volatility. Your first real exposure to working with time-series data.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"10-job-market-analysis\"><\/span><strong>10. Job Market Analysis&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Analyze a job postings dataset to find which skills, titles, and locations are in the highest demand. Practice both text data cleaning and groupby operations.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"11-flight-delay-analysis\"><\/span><strong>11. Flight Delay Analysis&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Merge airline, airport, and weather datasets to find which routes and seasons see the most delays. Strong practice in multi-dataset merging.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"12-sports-statistics-dashboard\"><\/span><strong>12. Sports Statistics Dashboard&nbsp;&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Combine multiple seasons of player stats to track career performance trends. Learn advanced use cases of concatenation and groupby.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"13-restaurant-inspection-data\"><\/span><strong>13. Restaurant Inspection Data&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Merge health inspection records with location data to map violation trends by neighborhood. A real-world scenario combining data cleaning and merging.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"14-employee-attrition-analysis\"><\/span><strong>14. Employee Attrition Analysis&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Explore HR datasets to identify patterns behind employee turnover using groupby and pivot tables. A solid introduction to the HR analytics domain.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"pandas-project-ideas-for-advanced-learners\"><\/span><strong>Pandas Project Ideas for Advanced Learners<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>These projects go beyond single-dataset analysis and often combine pandas with libraries like NumPy, Matplotlib, or Scikit-learn. They&#8217;re designed to push you toward production-level, job-ready data work.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"15-time-series-sales-forecasting-prep\"><\/span><strong>15. Time-Series Sales Forecasting Prep&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Resample daily sales data into weekly\/monthly format and engineer lag features for forecasting models. Strong practice in time-series feature engineering.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"16-large-dataset-optimization-challenge\"><\/span><strong>16. Large Dataset Optimization Challenge&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Take a multi-gigabyte dataset and try memory-efficient techniques \u2014 chunking, dtype optimization, category types. Real experience with production-level data handling.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"17-multi-source-data-pipeline\"><\/span><strong>17. Multi-Source Data Pipeline&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Build a script that pulls data from an API, a CSV, and a database, then merges everything into one clean dataset. Simulates a real data engineering workflow.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"18-customer-churn-prediction-prep\"><\/span><strong>18. Customer Churn Prediction Prep&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Engineer features from raw usage logs (session counts, recency, frequency) to feed into a churn prediction model. Practice preparing ML-ready data.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"19-financial-portfolio-analyzer\"><\/span><strong>19. Financial Portfolio Analyzer&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Calculate risk-adjusted returns, correlation matrices, and performance across multiple assets. A chance to implement complex finance-domain calculations using pandas.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"20-real-time-data-dashboard\"><\/span><strong>20. Real-Time Data Dashboard&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Combine pandas with Plotly or Streamlit to build an interactive, auto-updating dashboard. Develops both data visualization and deployment skills together.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"21-housing-price-prediction-data-prep\"><\/span><strong>21. Housing Price Prediction Data Prep&nbsp;<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n\n\n\n<p>Clean and merge real estate listings with neighborhood demographics to prepare data for a machine learning model. Advanced practice in feature engineering.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"pandas-project-ideas-for-students\"><\/span><strong>Pandas Project Ideas for Students<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>If you&#8217;re working on a class assignment, capstone project, or building your first portfolio, these pandas project ideas for students are designed to be both academically rigorous and resume-worthy.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Research Dataset Analysis<\/strong> \u2013 Choose a dataset relevant to your major (economics, biology, sociology) and perform a full exploratory data analysis with a written report.<\/li>\n\n\n\n<li><strong>Thesis-Style Deep Dive<\/strong> \u2013 Pick one focused question (e.g., &#8220;Does class size affect test scores?&#8221;) and use pandas to test it against real data.<\/li>\n\n\n\n<li><strong>University Enrollment Trends<\/strong> \u2013 Analyze public education datasets to study enrollment, graduation rates, or funding trends over time.<\/li>\n\n\n\n<li><strong>Capstone Portfolio Project<\/strong> \u2013 Combine data cleaning, visualization, and a written summary into a polished project you can showcase on GitHub or LinkedIn.<\/li>\n<\/ul>\n\n\n\n<p>These projects work well because they demonstrate both technical skill and the ability to communicate findings clearly \u2014 something professors and employers both value.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"python-pandas-project-ideas-with-source-code\"><\/span><strong>Python Pandas Project Ideas with Source Code<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Learning is faster when you can see working code, not just descriptions. Here are a few pandas project ideas with source code you can adapt and build on:<\/p>\n\n\n\n<p><strong>Example: Quick Sales Summary<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>import pandas as pd<br><br># Load data<br>df = pd.read_csv(&#8220;sales_data.csv&#8221;)<br><br># Clean missing values<br>df.dropna(subset=[&#8220;revenue&#8221;], inplace=True)<br><br># Group by product category<br>summary = df.groupby(&#8220;category&#8221;)[&#8220;revenue&#8221;].agg([&#8220;sum&#8221;, &#8220;mean&#8221;, &#8220;count&#8221;])<br>print(summary.sort_values(&#8220;sum&#8221;, ascending=False))<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Example: Merging Two Datasets<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>customers = pd.read_csv(&#8220;customers.csv&#8221;)<br>orders = pd.read_csv(&#8220;orders.csv&#8221;)<br><br>merged = pd.merge(orders, customers, on=&#8221;customer_id&#8221;, how=&#8221;left&#8221;)<br>top_spenders = merged.groupby(&#8220;customer_name&#8221;)[&#8220;order_total&#8221;].sum().sort_values(ascending=False)<br>print(top_spenders.head(10))<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>Snippets like these are a great starting point \u2014 take any of the ideas above and adapt this same pattern: load, clean, group, and summarize.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"pandas-project-example-%e2%80%94-step-by-step-walkthrough\"><\/span><strong>Pandas Project Example \u2014 Step-by-Step Walkthrough<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Let&#8217;s fully build out one project so you can see the entire workflow: <strong>Analyzing COVID-19 Case Data by Country.<\/strong><\/p>\n\n\n\n<p><strong>Step 1: Import and load the data<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>import pandas as pd<br>import matplotlib.pyplot as plt<br><br>df = pd.read_csv(&#8220;covid_data.csv&#8221;)<br>print(df.head())<br>print(df.info())<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Step 2: Clean the data<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td># Drop rows with no country info<br>df.dropna(subset=[&#8220;country&#8221;], inplace=True)<br><br># Fill missing case counts with 0<br>df[&#8220;new_cases&#8221;].fillna(0, inplace=True)<br><br># Convert date column to datetime<br>df[&#8220;date&#8221;] = pd.to_datetime(df[&#8220;date&#8221;])<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Step 3: Analyze<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td># Total cases by country<br>totals = df.groupby(&#8220;country&#8221;)[&#8220;new_cases&#8221;].sum().sort_values(ascending=False)<br>print(totals.head(10))<br><br># Weekly trend for one country<br>usa = df[df[&#8220;country&#8221;] == &#8220;United States&#8221;]<br>weekly = usa.resample(&#8220;W&#8221;, on=&#8221;date&#8221;)[&#8220;new_cases&#8221;].sum()<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p><strong>Step 4: Visualize<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-table\"><table class=\"has-fixed-layout\"><tbody><tr><td>weekly.plot(kind=&#8221;line&#8221;, title=&#8221;Weekly COVID-19 Cases &#8211; United States&#8221;)<br>plt.xlabel(&#8220;Week&#8221;)<br>plt.ylabel(&#8220;New Cases&#8221;)<br>plt.show()<\/td><\/tr><\/tbody><\/table><\/figure>\n\n\n\n<p>This one example touches nearly every core pandas skill \u2014 loading, cleaning, grouping, resampling, and plotting \u2014 which is exactly why it&#8217;s such a popular choice for building confidence fast.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"where-to-find-datasets-for-your-pandas-projects\"><\/span><strong>Where to Find Datasets for Your Pandas Projects<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>You don&#8217;t need to build your own dataset from scratch. Some of the best free sources include:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><a href=\"https:\/\/www.kaggle.com\/\" target=\"_blank\" rel=\"noreferrer noopener\"><strong>Kaggle<\/strong><\/a> \u2013 Thousands of datasets across every topic imaginable, often with example notebooks<\/li>\n\n\n\n<li><strong>UCI Machine Learning Repository<\/strong> \u2013 Classic, well-documented datasets great for practice<\/li>\n\n\n\n<li><strong>Data.gov<\/strong> \u2013 U.S. government open data covering health, transportation, economics, and more<\/li>\n\n\n\n<li><strong>Google Dataset Search<\/strong> \u2013 A search engine specifically for finding datasets<\/li>\n\n\n\n<li><strong>World Bank Open Data<\/strong> \u2013 Global economic and development indicators<\/li>\n<\/ul>\n\n\n\n<p>When picking a dataset, don&#8217;t always go for the cleanest one. Messy, real-world data \u2014 with missing values and inconsistent formatting \u2014 will actually teach you more about how pandas is used on the job.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"common-mistakes-to-avoid-when-working-on-pandas-projects\"><\/span><strong>Common Mistakes to Avoid When Working on Pandas Projects<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Even with a great project idea, it&#8217;s easy to fall into habits that slow you down or produce misleading results. Watch out for these common pitfalls:<\/p>\n\n\n\n<p><strong>Skipping data validation:<\/strong> It&#8217;s tempting to jump straight into analysis, but always check df.info(), df.describe(), and df.isnull().sum() first. Understanding your data types, ranges, and missing values before you start prevents hours of confusion later.<\/p>\n\n\n\n<p><strong>Ignoring the &#8220;why&#8221; behind missing data:<\/strong> Not all missing values should be handled the same way. A missing value in a &#8220;discount applied&#8221; column might genuinely mean zero, while a missing value in &#8220;customer age&#8221; might mean the data wasn&#8217;t collected. Blindly filling every null with 0 or the mean can quietly distort your results.<\/p>\n\n\n\n<p><strong>Overusing loops instead of vectorized operations:<\/strong> One of pandas&#8217; biggest strengths is vectorization. If you find yourself writing a for loop to process rows one at a time, there&#8217;s almost always a faster, more idiomatic pandas method \u2014 apply(), map(), or boolean indexing \u2014 that will run significantly faster on larger datasets.<\/p>\n\n\n\n<p><strong>Not checking your joins:<\/strong> When merging datasets, always verify row counts before and after. A merge() with the wrong join type (inner vs. left vs. outer) can silently drop or duplicate rows, leading to inaccurate totals without any error message.<\/p>\n\n\n\n<p><strong>Forgetting to reset the index:<\/strong> After grouping, filtering, or resampling, your DataFrame&#8217;s index often gets reordered or becomes non-sequential. Using reset_index() at the right points keeps your data clean and prevents subtle bugs down the line.<\/p>\n\n\n\n<p>Avoiding these mistakes early will save you significant debugging time and help you trust your own results \u2014 a skill that matters just as much as knowing the syntax itself.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"tips-to-get-the-most-out-of-these-pandas-projects\"><\/span><strong>Tips to Get the Most Out of These Pandas Projects<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>Simply finishing a project isn&#8217;t enough \u2014 how you approach it is what separates a beginner from a job-ready data analyst. Follow these tips to get the most value out of every project you build.<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Use version control.<\/strong> Push your projects to GitHub so you can track progress and show your work to others.<\/li>\n\n\n\n<li><strong>Document your process.<\/strong> Add markdown notes in your Jupyter notebooks explaining your decisions \u2014 this shows employers how you think, not just what you coded.<\/li>\n\n\n\n<li><strong>Start small, then expand.<\/strong> Finish a basic version of a project first, then go back and add complexity (extra visualizations, additional datasets, a written summary).<\/li>\n\n\n\n<li><strong>Build a portfolio.<\/strong> Once you&#8217;ve completed a handful of these projects, pick your best 3-4 and turn them into a polished portfolio page or GitHub repo.<\/li>\n\n\n\n<li><strong>Explain your findings.<\/strong> A project isn&#8217;t complete until you can summarize what you learned in a few clear sentences \u2014 this is a skill hiring managers specifically look for.<\/li>\n<\/ul>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"conclusion\"><\/span><strong>Conclusion<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n\n<p>The best way to actually learn pandas is to stop reading and start building. Whether you pick a simple beginner project like analyzing movie ratings or work your way up to a full time-series forecasting pipeline, every one of these pandas project ideas is designed to build real, transferable skills.<\/p>\n\n\n\n<p>Start with one project from this list today. Finish it, document it, and push it to GitHub. Then move on to the next. Before long, you&#8217;ll have a portfolio that doesn&#8217;t just say you know pandas \u2014 it proves it.<\/p>\n\n\n\n<p>Looking for more hands-on practice? Check out our related guide on Python Projects for Beginners on Statanalytica to keep building your skills beyond pandas.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\"><span class=\"ez-toc-section\" id=\"faqs\"><\/span><strong>FAQs<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h2>\n\n\n<div id=\"rank-math-faq\" class=\"rank-math-block\">\n<div class=\"rank-math-list \">\n<div id=\"faq-question-1788417650184\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"1-what-are-good-pandas-project-ideas-for-beginners\"><\/span><strong>1. What are good pandas project ideas for beginners?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Simple, single-dataset projects work best for beginners \u2014 things like analyzing movie ratings, weather trends, or a personal expense tracker. These let you practice core skills like filtering, sorting, and basic aggregation without getting overwhelmed by multiple data sources.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1788417661964\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"2-where-can-i-find-pandas-project-ideas-with-source-code\"><\/span><strong>2. Where can I find pandas project ideas with source code?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Kaggle notebooks, GitHub repositories, and data science blogs (including this one) are great sources. Look for projects with accompanying Jupyter notebooks so you can see the full workflow, not just the final result.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1788417670949\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"3-how-long-does-it-take-to-complete-a-pandas-project\"><\/span><strong>3. How long does it take to complete a pandas project?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>It depends on complexity. A beginner project might take 1-3 hours, while an advanced project involving multiple datasets or a dashboard could take several days spread across a week.<\/p>\n\n<\/div>\n<\/div>\n<div id=\"faq-question-1788417682476\" class=\"rank-math-list-item\">\n<h3 class=\"rank-math-question \"><span class=\"ez-toc-section\" id=\"4-can-pandas-projects-help-me-get-a-data-analyst-job\"><\/span><strong>4. Can pandas projects help me get a data analyst job?<\/strong><span class=\"ez-toc-section-end\"><\/span><\/h3>\n<div class=\"rank-math-answer \">\n\n<p>Yes. A strong portfolio of pandas projects demonstrates real, applicable skills to employers \u2014 often more effectively than certifications alone. Focus on projects that show the full workflow: cleaning, analysis, and clear communication of results.<\/p>\n\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>If you&#8217;re learning data analysis with Python, there&#8217;s one truth every experienced data professional will tell you: reading tutorials only gets you so far. The real learning happens when you sit down with a messy dataset and try to make sense of it yourself. That&#8217;s exactly why we&#8217;ve put together this list of pandas project [&hellip;]<\/p>\n","protected":false},"author":21,"featured_media":39665,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","ast-disable-related-posts":"","theme-transparent-header-meta":"","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[3797],"tags":[6424,6425,6429,6428,6427,6426],"class_list":["post-39662","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-project-ideas","tag-pandas-project-example","tag-pandas-project-ideas-for-students","tag-pandas-project-ideas-with-source-code","tag-pandas-projects-for-beginners","tag-python-pandas-project-ideas","tag-python-pandas-projects-with-source-code"],"amp_enabled":true,"_links":{"self":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/39662","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/users\/21"}],"replies":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/comments?post=39662"}],"version-history":[{"count":2,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/39662\/revisions"}],"predecessor-version":[{"id":39666,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/posts\/39662\/revisions\/39666"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media\/39665"}],"wp:attachment":[{"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/media?parent=39662"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/categories?post=39662"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/statanalytica.com\/blog\/wp-json\/wp\/v2\/tags?post=39662"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}