Dataset contains random generated data about company layoffs.
There are attributes that correlates with each other.
Attributes:
Company_ID (Integer): Unique identifier for each company.
Industry_Type (Categorical): Represents the industry type of the company (e.g., Technology, Finance, Retail).
Company_Size (Categorical): Indicates the size of the company (e.g., Small, Medium, Large).
Revenue_Milions (Decimal): Represents the annual revenue of the company.
Number_of_Employees (Integer): Indicates the total number of employees in the company.
Layoff_Month (Integer): Month number, when the layoffs occurred
Layoff_Reason (Categorical): Indicates the reason for the layoffs (e.g., Financial difficulties, Restructuring, Mergers & Acquisitions).
Layoff_Count (Integer): Number of employees laid off during the event.
Market_Share (Decimal): Represents the company's market share in percentage. (Market is not specified so big percentages are okay. It can be treated as part in the city, country, etc.)
CEO_Tenure (Integer): Number of years the CEO has been in position.
Stock_Price (Decimal): Current stock price of the company.
Profit_Margin (Decimal): Profit margin of the company in percentage.