Data Cleaning and Extraction project of Cincinnati's OpenStreetMap Data
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Updated
Oct 15, 2017 - HTML
Data Cleaning and Extraction project of Cincinnati's OpenStreetMap Data
Hotel bookings dataset (119k records, 2015–2017) from a City Hotel and a Resort Hotel was analyzed to understand how booking patterns and cancellations impact revenue and operations. Using Python for data cleaning, SQL for exploratory analysis and Power BI for visualizations.
This repository contains an SQL dataset for an e-commerce platform and queries to analyze customer behavior, product performance, seller activity, and order fulfillment. By addressing critical business questions, this project serves as a foundation for those interested in using SQL to gain insights and optimize e-commerce operations.
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