Dataset: Company Layoffs - Generated

About this Dataset

Company Layoffs - Generated

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.

Tables

Company Layoffs Data

@kaggle.noskeris_company_layoffs_generated.company_layoffs_data

67.21 KB
1000 rows
12 columns


CREATE TABLE company_layoffs_data (
  "company_id" BIGINT,
  "industry_type" VARCHAR,
  "company_size" VARCHAR,
  "revenue_millions" DOUBLE,
  "number_of_employees" BIGINT,
  "layoff_month" BIGINT,
  "layoff_reason" VARCHAR,
  "layoff_count" BIGINT,
  "market_share_percentage" DOUBLE,
  "ceo_tenure_years" DOUBLE,
  "stock_price_dollars" DOUBLE,
  "profit_margin_percentage" DOUBLE
);

Company Layoffs Data Generated

@kaggle.noskeris_company_layoffs_generated.company_layoffs_data_generated

67.21 KB
1000 rows
12 columns


CREATE TABLE company_layoffs_data_generated (
  "company_id" BIGINT,
  "industry_type" VARCHAR,
  "company_size" VARCHAR,
  "revenue_millions" DOUBLE,
  "number_of_employees" BIGINT,
  "layoff_month" BIGINT,
  "layoff_reason" VARCHAR,
  "layoff_count" BIGINT,
  "market_share_percentage" DOUBLE,
  "ceo_tenure_years" DOUBLE,
  "stock_price_dollars" DOUBLE,
  "profit_margin_percentage" DOUBLE
);