The human resources manager at a major technology firm that produces hardware and software products wants to analyze salaries of sales tech representatives and to identify relevant factors that explain differences in salaries among different groups of sales representatives. This analysis may assist in more informed hiring choices. A data set including more than 20,000 records of sales professionals is pulled from the business data warehouse with the assistance of the company’s IT department. The analysis sample include the product line to which the sales professional is assigned (software or hardware), age, gender, the number of years with the company, whether the sales professional has a college degree, personality type based on the Myers-Briggs personality assessment, the number of professional certificates obtained, the average score from the 360-degree annual evaluation, base salary, and the average Net Promoter Score received. [<- READ]
Your tasks:
Consider the variables in the dataset and analyze the relationships between salaries of sales representatives, their performance and demographic characteristics. Use descriiptive modeling techniques to perform analysis.
