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 # MySQL_Exploratory_Data_Analysis
 Exploratory Data Analysis (EDA) of a dataset on company layoffs spanning from 2020 to 2023. This project aimed to uncover trends, identify key insights, and understand the broader impacts of layoffs over time.
+
+Key Insights:
+
+-Biggest Layoffs by Company:
+  Google (2023): 12,000 employees
+  Meta (2022): 11,000 employees
+  Uber (2020): 7,525 employees
+
+-Industries Hit the Hardest:
+  Consumer Industry: 45,182 layoffs
+  Retail Industry: 43,613 layoffs
+
+-Global Layoff Trends:
+  United States: 256,559 employees
+  India: Significant impact
+  Netherlands and Sweden: Notable layoffs
+
+-Yearly Layoff Trends:
+  2023: 125,677 layoffs
+  2022: 160,661 layoffs
+  2021: 15,823 layoffs
+  2020: 80,998 layoffs
+
+-Funding Stage Impact:
+  Post-IPO: 204,132 layoffs
+
+-Monthly Layoff Trends:
+  Analyzed rolling totals to track peak periods and identify trends over time.
+
+-Top Companies by Year:
+  Identified the top 5 companies with the highest layoffs for each year.
+
+Methodology:
+Data Cleaning: Removed duplicates, standardized data formats, and handled null values to ensure data accuracy.
+Analysis: Utilized advanced SQL techniques for detailed analysis.
+Visualization: Employed visualization tools to illustrate key trends and insights.
+
+Conclusion:
+This project offered a comprehensive view of layoffs across various sectors, highlighting significant trends over recent years. It underscores the impact of global events, such as the COVID-19 pandemic, on employment