HR Workforce Analytics Data

Columns

• EmpID: A unique identifier for each employee.
• Age: The age of the employee.
• AgeGroup: The age range the employee falls into (e.g., 18-25).
• Attrition: Indicates whether an employee has left the company (Yes/No).
• BusinessTravel: Frequency of business travel (e.g., Travel_Rarely, Travel_Frequently, Non-Travel).
• DailyRate: Daily rate of pay.
• Department: Department the employee belongs to (e.g., Research & Development, Sales, Human Resources).
• DistanceFromHome: Distance of the employee's home from the workplace.
• Education: Level of education (e.g., 1, 2, 3, 4, 5).
• EducationField: Field of education (e.g., Life Sciences, Medical, Marketing, Technical Degree, Other, Human Resources).
• EmployeeCount: Standard column, typically 1 for each employee.
• EmployeeNumber: Unique employee number.
• EnvironmentSatisfaction: Level of environment satisfaction (e.g., 1-4).
• Gender: Employee's gender (Male/Female).
• HourlyRate: Hourly rate of pay.
• JobInvolvement: Level of job involvement (e.g., 1-4).
• JobLevel: Job level within the company (e.g., 1-5).
• JobRole: The employee's specific job role (e.g., Laboratory Technician, Sales Representative, Research Scientist, Human Resources).
• JobSatisfaction: Level of job satisfaction (e.g., 1-4).
• MaritalStatus: Employee's marital status (Single, Married, Divorced).
• MonthlyIncome: Monthly income.
• SalarySlab: Monthly income category (e.g., Upto 5k).
• MonthlyRate: Monthly rate.
• NumCompaniesWorked: Number of companies worked for prior to the current one.
• Over18: Indicates if the employee is over 18 years old (Y/N).
• OverTime: Indicates if the employee works overtime (Yes/No).
• PercentSalaryHike: Percentage increase in salary.
• PerformanceRating: Performance rating (e.g., 3-4).
• RelationshipSatisfaction: Level of relationship satisfaction (e.g., 1-4).
• StandardHours: Standard working hours, typically 80.
• StockOptionLevel: Level of stock option (e.g., 0-3).
• TotalWorkingYears: Total years of working experience.
• TrainingTimesLastYear: Number of times training was attended last year.
• WorkLifeBalance: Level of work-life balance (e.g., 1-4).
• YearsAtCompany: Total years spent at the current company.
• YearsInCurrentRole: Years spent in the current role.
• YearsSinceLastPromotion: Years since the last promotion.
• YearsWithCurrManager: Years with the current manager.

Distribution

Usage

• Developing HR Analytics Dashboards in tools like Power BI to visualise key HR metrics.
• Conducting predictive modelling to identify factors contributing to employee attrition.
• Analysing employee performance and identifying drivers for retention.
• Gaining insights into workforce dynamics and optimising HR strategies.
• Supporting talent analytics initiatives to improve business outcomes.
• Academic research or learning projects focused on HR data and analytics.

Coverage

License

Who Can Use It

• HR Professionals and Analysts: To monitor and improve employee retention and performance.
• Data Scientists and Analysts: For building predictive models and conducting statistical analysis on HR data.
• Business Intelligence Developers: To create visual dashboards and reports for organisational insights.
• Researchers and Students: For academic studies on workforce dynamics, employee behaviour, and attrition.
• Organisations looking to make data-driven decisions regarding their human capital.

Dataset Name Suggestions

• Employee Attrition Analysis Dataset
• HR Workforce Analytics Data
• Employee Performance & Retention Insights
• Organisational Attrition Factors
• Human Capital Metrics Dataset

Attributes