薪酬

HR Analytics：用 R 预测员工流失

Abhishek Trehan

People Analytics Practitioner

薪酬很重要

HR Analytics：用 R 预测员工流失

探索薪酬变量

# Plot the distribution of compensation
ggplot(emp_tenure, aes(x = compensation)) + 
  geom_histogram()

HR Analytics：用 R 预测员工流失

探索薪酬变量

# Plot the distribution of compensation across levels
ggplot(emp_tenure, 
       aes(x = level, y = compensation)) + 
  geom_boxplot()

HR Analytics：用 R 预测员工流失

计算 Compa-ratio

$$ \text{Compa Ratio} = \frac{\text{ 实际薪酬 }}{\text{薪酬中位数}} $$

HR Analytics：用 R 预测员工流失

计算 Compa-ratio

  • Compa-ratio 为 1.2（120%）表示该员工高于中位薪酬 20%

  • Compa-ratio 为 1（100%）表示该员工等于中位薪酬

  • Compa-ratio 为 0.8（80%）表示该员工低于中位薪酬 20%

HR Analytics：用 R 预测员工流失

计算薪酬中位数与 Compa-ratio

# Derive Compa-ratio
emp_compa_ratio <- emp_tenure %>%  
  group_by(level) %>%   
  mutate(median_compensation = median(compensation), 
         compa_ratio = (compensation / median_compensation))

# Look at the median compensation for each level        
emp_compa_ratio %>% 
  distinct(level, median_compensation)

# A tibble: 2 x 2
# Groups:     level[2]
  level      median_compensation
  <fct>                    <dbl>
1 Analyst                  51840
2 Specialist               83496
HR Analytics：用 R 预测员工流失

计算 Compa-level

  • Compa-ratio > 1：高于
  • 否则：低于
HR Analytics：用 R 预测员工流失

Passons à la pratique !

HR Analytics：用 R 预测员工流失

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