README.md

# 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