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Employee Performance & Satisfaction Data
Data Science and Analytics
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About
This dataset has been created to explore the diverse factors impacting employee performance and satisfaction within a typical organisation. It encompasses a variety of fields, ranging from personal demographics to performance metrics and job-related details, offering an insightful view into workplace dynamics. The dataset serves as an accessible resource for those interested in HR analytics, enabling the derivation of insights into employee performance, satisfaction, and overall engagement at work. It is particularly useful for predicting employee turnover, analysing employee performance, and understanding the elements that influence job satisfaction.
Columns
- Name: Full name of employee.
- Age: Age of employee, with values observed between 22 and 60.
- Gender: Gender of employee, with two unique values.
- Projects Completed: Number of projects completed, out of a maximum of 25.
- Productivity (%): Productivity score, expressed as a percentage out of 100.
- Satisfaction Rate (%): Satisfaction rate, expressed as a percentage out of 100.
- Feedback Score: Feedback score, on a scale out of 5.
- Department: Department in which the employee works, covering 5 unique departments including Sales and Marketing.
- Position: Position of employee within the organisation, detailing 6 unique positions such as Manager and Junior Developer.
- Joining Date: The date when the employee joined the company, provided in MM-YYYY format, with 25 unique months recorded.
- Salary: Employee salary, with amounts observed between 30,231 and 119,895.
Distribution
This dataset is provided as a CSV data file,
hr_dashboard_data.csv, and has a size of 13.55 kB. It is structured as tabular data, containing 11 columns and 200 records.Usage
This dataset is ideal for a variety of HR analytics applications, including:
- Deriving insights into employee performance, satisfaction, and overall engagement.
- Predicting employee turnover.
- Analysing employee performance trends and patterns.
- Understanding the specific factors that influence job satisfaction.
Coverage
The dataset covers employee data from what is described as a typical organisation. The demographic scope includes details such as age, gender, department, and position. While no specific geographic coverage is detailed, the joining dates provide a temporal context for employee tenure within the organisation.
License
CC BY-NC-SA 4.0
Who Can Use It
This dataset is an accessible resource for:
- HR Analysts: To gain insights into workforce dynamics and inform strategic HR initiatives.
- Data Scientists: For developing predictive models related to employee turnover or performance evaluations.
- Researchers: Engaged in studies concerning job satisfaction, employee engagement, and workplace behaviour.
- Business Leaders: To better understand employee sentiment, productivity drivers, and workforce trends.
Dataset Name Suggestions
- Employee Performance & Satisfaction Data
- HR Workforce Analytics Dataset
- Workplace Productivity & Engagement Data
- Organisational HR Metrics
Attributes
Original Data Source: Employee Performance & Satisfaction Data
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