Retail Sales Analysis using SQL on Kaggle Superstore dataset with business insights, profitability analysis, and trend analysis.
-
Updated
May 21, 2026
#
retail-sales-analysis
Here are 4 public repositories matching this topic...
Retail Sales Data Analysis using SQL to extract business insights, customer trends, and category-wise sales performance.
mysql data sql analytics data-exploration sql-queries data-cleaning portfolio-project business-analysis sql-project retail-sales-analysis
-
Updated
Mar 10, 2026
This project analyzes retail sales data using Python libraries such as Pandas, Matplotlib, and Seaborn.
pandas data-visualization seaborn data-analysis matplotlib pyth data-cleaning nump retail-sales-analysis
-
Updated
May 21, 2026 - Python
Developed an interactive Retail Sales Performance Dashboard in Microsoft Power BI analyzing multi-year sales data (2019–2024). Applied Power Query, data modeling, and DAX to track KPIs such as Sales, Profit, Quantity, and Margin with dynamic filters and year-over-year comparison to deliver business insights.
business-intelligence powerbi sales-analysis portfolio-project sales-dashboard sales-performance sales-analytics sales-performance-analysis retail-sales retail-analytics powerbireports dax-query retail-sales-dashboard retail-sales-customer-trends-sales-analysis sales-performance-overview sales-performance-analysis-for-a-retail-store sales-performance-insights sanjayanalytics retail-sales-analysis sales-performance-dashboard
-
Updated
Jun 22, 2026
Improve this page
Add a description, image, and links to the retail-sales-analysis topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the retail-sales-analysis topic, visit your repo's landing page and select "manage topics."