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-# MySQL_Data_Cleaning_Project
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+# MySQL_Data_Cleaning_Project
+Data Cleaning Project: Company Layoffs Dataset
+Overview:
+This project focuses on cleaning and standardizing a dataset of company layoffs, consisting of 2,362 rows, covering data up until the year 2023. The objective was to transform raw, unstructured data into a clean and reliable format suitable for detailed analysis.
+
+Key Steps:
+
+Removed Duplicates: Identified and eliminated redundant records to ensure accuracy.
+Standardized Data: Unified inconsistent industry names, cleaned company names, and corrected country names.
+Handled Nulls and Blanks: Addressed missing values and removed unnecessary rows.
+Data Type Corrections: Converted date fields from text to date format for precise analysis.
+Results:
+The cleaned dataset now offers a comprehensive view of company layoffs over the years, facilitating detailed exploratory data analysis and insightful trend identification. Key patterns related to industry impacts, company-specific layoffs, and funding stages can now be accurately examined.