1. Create a Box Plot for employee satisfaction and last evaluation,
each broken out by the variable left. This meaning that for each
variable there will be two box plots, side by side, where each box will
represent the same variable, but one filtered for left = 0, and the
other left = 1.
Box Plot for employee satisfaction by left

Box Plot for last evaluation by left

Summary: The box plots says that employees who stayed have higher
satisfaction and evaluation scores on an average compared to those who
left.
2. Using the HR_comma_sep dataset, create a correlogram, only for
continuous variables.

Summary:
- The number_project and satisfaction_level show a weak negative
correlation.
- The average_montly_hours and last_evaluation show a moderate
positive correlation.
- The average_montly_hours and number_project also show a moderate
positive correlation