Addressing Employee Attrition For this assignment we will look at the employee attrition data. Ideally, companies would like to keep attrition rates (the proportion of employees leaving a company for other opportunities) as low as possible due to the variable costs and business disruptions that come with replacing productive employees on short notice. In the recent past, before Covid struck, the company had seen an increase in the rate of employee departures. Being a tech company, and with certain skills being rare, employee retention has been a challenge. This has taken a toll on their operations and ability to deliver quality products. The information related to the dataset is available below. Employee Attrition Data The following data consists of 1,470 employee records for a U.S. based product company. The rows in this data frame represent an employee's attributes across the variables listed in the table below. Variable Definition Data Type left_company Did the employee leave the company? (Yes/No) Factor department Department within the company Categorical job_level Job Level (Associate - Vice President) Categorical salary Employee yearly salary (US Dollars) Numeric weekly_hours Self-reported average weekly hours spent on the job (company survey) Numeric business_travel Level of required business travel Categorical yrs_at_company