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