Name: Entrepreneurship Decision Dataset
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Entrepreneurship Decision Dataset

This dataset is designed to facilitate research and development in the areas of entrepreneurial decision-making, innovation, and market trend analysis. It incorporates key features derived from historical business data, market indicators, and AI-driven predictions.

Key Features
Business Metrics:

Company_ID: Unique identifier for companies.
Historical_Sales: Total sales revenue from past records (in USD).
Growth_Rate: Percentage growth or decline in business performance.
Employee_Count: Number of employees in the organization.
Market Indicators:

Economic_Reports: Normalized score representing the economic health of the industry.
Market_Competition_Level: Competitive intensity in the market ("Low", "Medium", "High").
Market_Sentiment: Sentiment score (-1 to 1) based on market analysis.
Entrepreneurial Factors:

Risk_Tolerance: Risk appetite of entrepreneurs (scale of 1-10).
Innovation_Level: Level of innovation ("Low", "Medium", "High").
Investment_Availability: Available funding for entrepreneurial ventures (in USD).
AI Features and Predictions:

Key_Feature_1 & Key_Feature_2: Selected features optimized using ESS.
Predicted_Market_Trend: AI-driven market trend predictions ("Growth", "Decline", "Stable").
Model_Confidence: Confidence level of the AI model (0.7-1.0).

Tables

Entrepreneurship Decision Dataset

@kaggle.ziya07_entrepreneurship_decision_dataset.entrepreneurship_decision_dataset

42.11 kB
1,000 rows
15 columns

CREATE TABLE entrepreneurship_decision_dataset (
  "company_id" BIGINT,
  "industry_type" VARCHAR,
  "historical_sales" BIGINT,
  "growth_rate" DOUBLE,
  "employee_count" BIGINT,
  "economic_reports" DOUBLE,
  "market_competition_level" VARCHAR,
  "market_sentiment" DOUBLE,
  "risk_tolerance" BIGINT,
  "innovation_level" VARCHAR,
  "investment_availability" BIGINT,
  "key_feature_1" DOUBLE,
  "key_feature_2" DOUBLE,
  "predicted_market_trend" VARCHAR,
  "model_confidence" DOUBLE
);