Exploring Employee Activity and Business Continuity
Dataset Description
Dataset Description
The Tech Employee Churn & Company Survival Dataset is a workforce analytics dataset designed to explore employee participation patterns, retention behavior, and organizational survival trends within technology-focused environments.
This dataset combines employee-level engagement indicators with company existence status, making it suitable for machine learning, predictive analytics, HR intelligence, and business survival modeling tasks. Researchers and data scientists can use this dataset to analyze how workforce activity relates to company continuity and employee churn behavior.
The dataset is structured for easy integration into classification, trend analysis, and predictive modeling workflows, making it ideal for Kaggle notebooks, portfolio projects, and HR analytics experimentation.
Key Features
- Employee participation tracking
- Company survival indicators
- Workforce retention analysis
- Engagement-based behavioral signals
- ML-ready tabular structure
- HR analytics and churn prediction support
Column Description
| Column | Description |
|---|---|
employee |
Employee identifier |
companyAlias |
Alias representing the company |
numVotes |
Employee engagement |
lastParticipationDate |
Last recorded participation date |
stillExists |
Indicates whether the company is still operating |
Potential Use Cases
- Employee churn prediction
- Workforce retention analysis
- HR analytics projects
- Company survival forecasting
- Classification and predictive modeling
- Employee engagement analysis
- Business intelligence dashboards
Dataset Type
Synthetic workforce analytics dataset suitable for:
- Machine Learning
- HR Analytics
- Predictive Analytics
- Data Science Projects
- Business Intelligence Research
Related Datasets
-
Customer Churn Analysis Dataset
@kaggle
-
Fur Banning
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