This project aims to analyze a dataset of sales transactions from a UK-based e-commerce store specializing in gifts and homewares over one year. With 500,000 rows and 8 columns, including transaction numbers, dates, product details, prices, quantities, customer identifiers, and countries, the analysis focuses on understanding customer behavior

Repositório referente ao conteúdo ensinado no curso Python: análise de dados com SQL da Alura.

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About An exploratory analysis of bike trip data, uncovering patterns and relationships between variables such as trip durations, user types, and stations. This helps build a foundation for deeper insights.