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

*** The box plots reveal that employees who left the company (left = 1) generally had lower satisfaction levels and more varied last evaluation scores compared to those who stayed (left = 0), indicating these factors may influence employee retention.

2 . Using the HR_comma_sep dataset, create a correlogram, only for continuous variables.

*** The correlogram highlights key relationships between continuous variables in the HR dataset, such as a potential positive correlation between satisfaction level and performance scores, or a negative correlation between time spent at the company and the likelihood of leaving.