A simulated employee survey dataset with 500 rows spanning six departments
and four job levels. Salary rises steeply with job level and varies by
department; age and tenure rise with level; remote workers report higher
satisfaction than office workers in every department, and long hours lower
it. Gender has no effect on anything. Two employees are planted against the
trend for highlighting: E042, a very unhappy remote engineer, and E137,
a very happy office-based salesperson. Designed to showcase the box, yPlot,
density, and histogram plot modules, including their statistical comparisons.
Format
A data frame with 500 rows and 11 columns:
- department
Employee department (factor: Engineering, Finance, Sales, Marketing, Operations, HR)
- job_level
Job seniority level (factor: Entry, Mid, Senior, Lead)
- gender
Employee gender (factor: Female, Male)
- age
Employee age in years (21-67)
- salary
Annual salary in USD
- satisfaction
Job satisfaction score (1-10)
- performance
Performance rating (1-10)
- tenure_years
Years with the company
- weekly_hours
Average weekly hours worked
- work_mode
Where the employee works (factor: Office, Remote)
- employee_id
Unique employee identifier (
E001-E500)