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This SQL data cleaning project focuses on a dataset related to layoffs that occurred in 2022. The main goal is to clean and organize the data by removing duplicates, correcting inconsistencies, and handling missing values, ensuring the dataset is ready for accurate and reliable analysis.

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ignacio-caprara/Data_cleaning_proyect_layoffs-SQL

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Project Data Cleaning "Layoffs" πŸ“‰ - Using SQL

Motivation

This project allowed me to dive into the world of data cleaning and manipulation using SQL. Through the 'Layoffs' dataset, I worked on identifying and correcting inconsistencies, handling missing values, and optimizing the data structure to enhance its quality. This process not only strengthened my SQL skills but also prepared the dataset for future analysis and data-driven decision-making.


Acknowledgments

I would like to express my gratitude to the creators of the 'Layoffs Dataset' database for providing this remarkable dataset for cleansing and aggregation. This project wouldn't have been possible without their efforts.



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This SQL data cleaning project focuses on a dataset related to layoffs that occurred in 2022. The main goal is to clean and organize the data by removing duplicates, correcting inconsistencies, and handling missing values, ensuring the dataset is ready for accurate and reliable analysis.

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