employees {peopleanalytics}

employees

Description

Fictitious data on employees in a mid-size company

Usage

data("employees")

Format

A data frame with 1470 observations on the following 36 variables.

employee_id

Unique identifier for each employee

active

Flag set to 'Yes' for active employees and 'No' for inactive employees

stock_opt_lvl

Stock option level

trainings

Number of trainings completed within the past year

age

Employee age in years

commute_dist

Commute distance in miles

ed_lvl

Education level, where 1 = 'High School', 2 = 'Associate Degree', 3 = 'Bachelor's Degree', 4 = 'Master's Degree', and 5 = 'Doctoral Degree'

ed_field

Education field associated with most recent degree

gender

Gender self-identification

marital_sts

Marital status

dept

Department of which an employee is a member

engagement

Employee engagement score measured on a 4-point Likert scale, where 1 = 'Highly Disengaged' and 4 = 'Highly Engaged'

job_lvl

Job level, where 1 = 'Junior' and 5 = 'Senior'

job_title

Job title

overtime

Flag set to 'Yes' if the employee is nonexempt and works overtime and 'No' if the employee does not work overtime

business_travel

Business travel frequency

hourly_rate

Hourly rate calculated irrespective of hourly/salaried employees

daily_comp

Hourly rate * 8

monthly_comp

Hourly rate * 2080 / 12

annual_comp

Hourly rate * 2080

ytd_leads

Year-to-date (YTD) number of leads generated for employees in Sales Executive and Sales Representative positions

ytd_sales

Year-to-date (YTD) sales measured in USD for employees in Sales Executive and Sales Representative positions

standard_hrs

Expected working hours over a two-week payroll cycle

salary_hike_pct

The percent increase in salary for the employee's most recent compensation adjustment (whether due to a standard merit increase, off-cycle adjustment, or promotion)

perf_rating

Most recent performance rating, where 1 = 'Needs Improvement', 2 = 'Core Contributor', 3 = 'Noteworthy', and 4 = 'Exceptional'

prior_emplr_cnt

Number of prior employers

env_sat

Environment satisfaction score measured on a 4-point Likert scale, where 1 = 'Highly Dissatisfied' and 4 = 'Highly Satisfied'

job_sat

Job satisfaction score measured on a 4-point Likert scale, where 1 = 'Highly Dissatisfied' and 4 = 'Highly Satisfied'

rel_sat

Collegue relationship satisfaction score measured on a 4-point Likert scale, where 1 = 'Highly Dissatisfied' and 4 = 'Highly Satisfied'

wl_balance

Work-life balance score measured on a 4-point Likert scale, where 1 = 'Poor Balance' and 4 = 'Excellent Balance'

work_exp

Total years of work experience

org_tenure

Years at current company

job_tenure

Years in current job

last_promo

Years since last promotion

mgr_tenure

Years under current manager

interview_rating

Average rating across the interview loop for the onsite stage of the employee's recruiting process, where 1 = 'Definitely Not' and 5 = 'Definitely Yes'

Examples

data(employees)