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SQL Interview Question – State-wise Revenue vs Returns Comparison In this video, we solve a real-world SQL interview coding question based on an ecommerce dataset: How to compare revenue and returns across different states. 👉 Download the E-Commerce database used in this video here: https://github.com/AvinashJames/Conte... Note - Sign in to GitHub: Please create an account and log in. Signed-in users get much higher download limits Use the "Download" Button: Instead of opening the "Raw" file, click the Download icon or the "Code" - "Download ZIP" button on the main repository page. This type of SQL analysis helps businesses identify which states generate high revenue but also experience high product returns, enabling better operational and customer experience decisions. In this video you will learn: How to analyze revenue vs returns using SQL How to use JOIN, GROUP BY, and aggregations How to derive business insights from ecommerce data This question is commonly asked in SQL interviews for Data Analyst, Business Analyst, and Product Analyst roles. 📌 Part of the Top 75 SQL Interview Coding Questions Series #sql #mysql #sqlinterviewquestions #sqlforbeginners #dataanalytics #dataanalysis #coding #code @DiveinData17 Here you will learn the new-edge technologies like Data Science, Machine Learning, SQL, Python, Power BI, Tableau, and other modern tools in the most easy, simple, and interactive way. My mission is to make complex concepts super simple so that even beginners can understand and professionals can revise quickly. Python Programming – from beginner to advanced with real-world projects. SQL (Structured Query Language) – Queries, Joins, Subqueries, Window Functions, and all important concepts for interviews and job readiness. Pandas & NumPy – Data analysis libraries explained step-by-step with datasets that are relatable to Indian and global contexts. Data Visualization – Using Matplotlib, Seaborn, and Plotly to create impactful charts and dashboards. Power BI & Tableau – Business Intelligence tools for building interactive dashboards and reports. Machine Learning Basics – Regression, Classification, Clustering explained in an easy and practical way. Interview Preparation – Real interview questions, mock interview problems, and answers explained so you can crack your dream job.