Problem $1$: Data Analytics can help managers and organizations make well$-$informed decisions about their workforce. Instead of making personnel decisions based on perception and instinct, managers can use data to help identify, attract, and retain employees. The TechnologySales data contain records on $21,990$ sales representatives from the hardware and software product groups of a high$-$tech company. Assume data set is as of fall $2020.$ For each employee, the data includes socio$-$demographic and education information, salary, sales performance, and a personality indicator. Also included in the data is the net promoter score, which is an indicator of customer satisfaction with each sales rep. The column Dataset indicates whether an observation belongs to training set $($t$)$ or validation set $($v$).$ Note that the column Dataset is not a variable. You are tasked with inspecting and reviewing the data, applying predictive analytics techniques, and preparing a report for the companys top management.