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Employee Job Satisfaction Simulation
Data Science and Analytics
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Free
About
A simulated view of employee performance and job satisfaction metrics for a cohort of individuals represented as IBM employees. It is designed to facilitate detailed analysis of human resources operations, offering insights into factors that influence employee experience, job roles, and overall employability.
Columns
While the specific file structure is detailed in the accompanying CSV, the data includes fields relevant to human resources and demographic profiling. Expect columns covering:
- Demographics: Age, gender, education level, and marital status.
- Job Metrics: Role, daily rate, hourly rate, distance from home, and years since last promotion.
- Performance and Satisfaction: Standardised scores related to environment, job, and relationship satisfaction, alongside performance ratings.
- Attrition Indicator: A flag noting whether the simulated employee has left the organisation.
Distribution
The data is typically available in a standard CSV (Comma Separated Values) format, suitable for direct ingestion into analytical tools. Specific counts regarding the number of rows or records are not currently available, but the structure is suitable for detailed quantitative analysis.
Usage
Ideal applications include predictive modelling to forecast employee attrition, exploratory data analysis to identify key drivers of low job satisfaction, and generating visualisations for business intelligence dashboards focused on human capital management. It can also be used in academic research concerning organisational behaviour.
Coverage
The scope covers simulated data points relevant to a fictional set of employees associated with IBM. The primary focus is on internal characteristics related to employment and individual satisfaction levels, without specific geographic or temporal constraints detailed in the initial summary.
License
CC0: Public Domain
Who Can Use It
- Data Analysts: To build and test machine learning models predicting staff turnover.
- Business Intelligence Professionals: To create reports and dashboards tracking simulated human resources indicators.
- Students and Researchers: To practice data cleaning, processing, and transformation skills as part of a capstone project focused on real-world business scenarios.
Dataset Name Suggestions
- IBM HR Analytics Attrition Data
- Employee Job Satisfaction Simulation
- Organisational Performance Metrics
- Labour Dynamics Modelling Dataset
Attributes
Original Data Source: Employee Job Satisfaction Simulation
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