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data-analysis-sql

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The housing SQL data undergoes ETL (Extract, Transform, Load) processes to integrate and process the information. The data is extracted from various sources, transformed to ensure quality, and loaded into a SQL database. This enables data-driven decision-making in the real estate industry, providing insights into housing trends and property values.

  • Updated Jun 28, 2023

The COVID-19 Data Analysis Project aims to analyze and gain insights from the vast amount of data collected during the global COVID-19 pandemic. Leveraging SQL, the project involves designing a database schema, extracting relevant data, and conducting a comprehensive analysis to uncover patterns, trends, and correlations related to the impact

  • Updated Jun 28, 2023

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