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HR 分析：用 R 探索員工資料

Ben Teusch

HR Analytics Consultant

群組數量少

call_center_a %>% 
  group_by(team) %>% 
  summarize(avg_calls = mean(calls_made)) %>% 
  arrange(desc(avg_calls))

# A tibble: 4 × 2
  team  avg_calls
  <chr>     <dbl>
1 D          84.2
2 B          79.7
3 A          73.8
4 C          61.7

群組數量多

call_center_b %>% 
  group_by(team) %>% 
  summarize(avg_calls = mean(calls_made)) %>% 
  arrange(desc(avg_calls))

# A tibble: 26 × 2
   team  avg_calls
   <chr>     <dbl>
 1 J          98.2
 2 U          89.6
 3 M          84.9
 4 L          82.9
 5 D          82.6
 6 E          82.1
 7 C          80.5
 8 K          79.9
 9 A          79.5
10 B          78.1
# i 16 more rows
# i Use `print(n = ...)` to see more rows

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call_center_b_summary

# A tibble: 26 × 2
   team  avg_calls
   <chr>     <dbl>
 1 J          98.2
 2 U          89.6
 3 M          84.9
 4 L          82.9
 5 D          82.6
 6 E          82.1
 7 C          80.5
 8 K          79.9
 9 A          79.5
10 B          78.1
# i 16 more rows
# i Use `print(n = ...)` to see more rows

ggplot(call_center_b_summary, aes(x = team, y = avg_calls)) +
  geom_col()

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一起來練習吧！

HR 分析：用 R 探索員工資料