$1.$ Using ggplot$2$ package can you present $5$ figures that have the high association with the years of employment?

$2.$ Employee churn is expensive for companies. When an employee leaves he$/$ she takes his experience with them. Recruiting new employees are expensive and time consuming. Therefore, could you generate a regression model with years of employment as the dependent variable? In other words can you create a model to predict the years of employment among the staff?

$3.$ Develop a predictive model using logistic regression, where the dependent variable indicates whether an employee has been employed for more than $10$ years.