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Corporate Employee Behaviour Dataset
Data Science and Analytics
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About
This dataset provides a detailed collection of employee data designed for insightful HR analytics, employee churn prediction, productivity analysis, and performance evaluation. It captures essential aspects of employee performance, work habits, educational background, and satisfaction levels within a corporate setting. The data enables a clearer understanding of workforce dynamics and behaviour.
Columns
- Employee_ID: A unique identifier assigned to each employee.
- Department: Specifies the department where the employee is employed, such as Sales, HR, or IT.
- Gender: Indicates the employee's gender, categorised as Male, Female, or Other.
- Age: The employee's age, with values ranging from 22 to 60.
- Job_Title: Describes the employee's role, for instance, Manager, Analyst, or Developer.
- Hire_Date: The specific date on which the employee commenced their employment.
- Years_At_Company: Represents the duration, in years, an employee has been with the company.
- Education_Level: Denotes the highest educational qualification attained by the employee, e.g., High School, Bachelor, Master, or PhD.
- Performance_Score: An assessment of the employee's performance, rated on a scale of 1 to 5.
- Monthly_Salary: The employee's monthly earnings in USD, often reflecting their job title and performance score.
- Work_Hours_Per_Week: The typical number of hours an employee works each week.
- Projects_Handled: The total count of projects an employee has managed.
- Overtime_Hours: The cumulative hours of overtime worked by the employee in the last year.
- Sick_Days: The number of sick days taken by the employee.
- Remote_Work_Frequency: The percentage of time an employee works remotely (0%, 25%, 50%, 75%, 100%).
- Team_Size: The number of individuals within the employee's team.
- Training_Hours: The total hours an employee has spent in training programmes.
- Promotions: The count of promotions an employee has received throughout their tenure.
- Employee_Satisfaction_Score: An employee's self-reported satisfaction rating, ranging from 1.0 to 5.0.
- Resigned: A boolean value indicating whether the employee has resigned from the company.
Distribution
This dataset is typically provided as a data file, commonly in CSV format. It consists of 100,000 rows and 20 columns, with a file size of 11.24 MB.
Usage
This dataset is ideal for a variety of applications, including:
- Churn Prediction: Identifying patterns and indicators that may lead to employee resignation.
- Productivity Analysis: Understanding the various factors that influence employee productivity, such as remote work frequency, overtime hours, or training received.
- Performance Evaluation: Analysing the correlation between performance scores and other factors like salary, team size, or educational background.
- HR Analytics: Gaining insights into workforce demographics and behavioural trends to support strategic HR decision-making.
Coverage
The dataset focuses on employee data within a corporate environment. It includes employee ages ranging from 22 to 60 and covers hiring dates from September 2014 to September 2024. The demographic scope extends to various departments, job titles, education levels, and includes male, female, and other genders.
License
CC0: Public Domain
Who Can Use It
This dataset is particularly useful for HR professionals, data analysts, and data scientists looking to perform workforce analysis, develop predictive models for employee retention, or evaluate the effectiveness of HR policies. Researchers in organisational behaviour and human capital management will also find this data valuable.
Dataset Name Suggestions
- Employee Performance Metrics Data
- Workforce Productivity and HR Analytics Data
- Corporate Employee Behaviour Dataset
- HR Performance & Satisfaction Data
Attributes
Original Data Source: Corporate Employee Behaviour Dataset
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