Focusing on the location of interest

HR Analytics: Exploring Employee Data in R

Ben Teusch

HR Analytics Consultant

Next steps

  • Look for additional changes in Southfield from 2016 to 2017
  • Bring in more data if needed
  • Check other locations once a difference is found at Southfield
HR Analytics: Exploring Employee Data in R

Filtering out unwanted data

hr_joined %>%
  count(engagement)

  engagement     n
1          1   244
2          2   473
3          3  1346
4          4   651
5          5   226

hr_joined %>%
  filter(engagement != 5) %>% 
  count(engagement)

  engagement     n
1          1   244
2          2   473
3          3  1346
4          4   651
HR Analytics: Exploring Employee Data in R

Let's practice!

HR Analytics: Exploring Employee Data in R

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