Filtering the dataset

Employees at senior levels such as Vice President, Director, Senior Manager etc. have very different labor market conditions and are few in numbers too, hence, including them in your analysis can disproportionately affect your findings.

In this exercise, you will count the number of employees only at the Analyst and Specialist levels using the filter() function.

The following example filters df such that only the observations for which x is a or b or c are selected:

df %>% 
       filter(x %in% c("a", "b", "c"))

本练习是课程的一部分

HR Analytics: Predicting Employee Churn in R

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练习说明

First, count the number of employees across levels.
Subset the data to retain employees only at the Analyst and Specialist levels.
Review the number of employees across all levels, again.

交互式实操练习

通过完成这段示例代码来试试这个练习。

# Count the number of employees across levels
org %>% 
  ___(level)

# Select the employees at Analyst and Specialist level
org2 <- org %>%
  ___(level ___) 

# Validate the results
org2 %>% 
  count(level)

编辑并运行代码