DATA ANALYTICS MUST KNOWS
Project information
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A notebook showcasing essential analytics questions and data manipulation techniques for a business (HR) scenario from JSON data. All questions are solved using the most popularly used languages and tools: Python-Pandas, PostgreSQL, and PySpark. Concepts used include merging/joining tables, ranking, window functions, aggregations, pivot tables, and dynamic row generation.