Subset the data set to include only college-educated sales professionals in the software product group. Predict whether the sales professional will receive a high (9 or 10) net promoter score (NPS) or not using predictor variables such as age, sex, tenure with the company, number of professional certificates acquired, annual evaluation score, and personality type.

 

Sales_Rep	Business	Age	Female	Years	College	Personality	Certficates	Feedback	Salary
1	Hardware	59	1	2	Yes	Diplomat	1	2.01	70200
2	Hardware	52	0	10	Yes	Diplomat	4	3.64	133000
3	Software	47	1	1	Yes	Explorer	1	3.88	52600
4	Hardware	61	0	2	Yes	Diplomat	3	2.70	96000
5	Software	39	0	1	No	Diplomat	5	3.44	122000
6	Hardware	28	0	6	Yes	Explorer	1	2.43	60000
7	Software	25	1	1	Yes	Explorer	5	3.3	68000
8	Hardware	51	1	10	No	Explorer	0	2.15	43800
9	Hardware	34	0	4	Yes	Diplomat	2	2.91	92000
10	Hardware	38	1	1	Yes	Explorer	5	1.23	73400
11	Software	53	1	11	Yes	Explorer	2	3.93	93400
12	Hardware	41	1	1	Yes	Sentinel	1	2.26	51800
13	Hardware	40	0	1	No	Diplomat	4	3.60	116000
14	Software	41	0	2	Yes	Explorer	3	2.17	89000
15	Hardware	46	1	2	Yes	Analyst	1	4.00	61800
16	Hardware	38	1	4	Yes	Diplomat	1	2.37	57400
17	Software	39	0	2	No	Sentinel	2	3.00	57000
18	Hardware	52	1	1	No	Sentinel	0	2.72	50600
19	Software	54	1	2	Yes	Explorer	5	2.04	90200
20	Hardware	24	0	1	Yes	Analyst	1	2.66	39000
21	Software	53	0	1	Yes	Explorer	2	2.42	75000
22	Hardware	37	1	1	Yes	Diplomat	2	3.71	96600
23	Software	32	1	1	Yes	Explorer	3	3.42	61600
24	Hardware	33	0	2	Yes	Explorer	1	1.16	60000
25	Software	55	1	1	Yes	Analyst	1	1.99	53000
26	Software	27	1	2	Yes	Diplomat	6	2.93	73600
27	Hardware	58	1	2	Yes	Explorer	4	3.54	73400
28	Software	52	1	7	Yes	Sentinel	1	3.37	46600
29	Software	26	0	1	Yes	Explorer	2	3.29	77000
30	Software	28	1	8	Yes	Diplomat	3	2.50	66400