Construct a suitable graph to describe the gender composition of the clients in your sample.

.

also Assuming that you are the actuary, help this insurance company to make policy decisions on insurance premiums. Your suggestions should be based on the above findings. You can propose to them to gather more evidence if there are important variables omitted in the above model.

(i have attached the sample below)

Age at death	Mother's age at death	Father's age at death	No of years of employment	Gender
82	83	76	32	Female
67	81	62	37	Female
69	73	70	35	Female
73	72	65	32	Male
72	77	60	37	Female
63	66	56	38	Female
72	72	70	43	Female
68	69	67	27	Female
68	70	65	39	Female
80	89	72	22	Male
68	74	61	32	Male
72	77	66	27	Male
74	80	70	42	Male
73	67	74	42	Male
75	79	67	27	Female
75	83	65	22	Male
90	87	76	22	Male
84	91	71	22	Female
79	83	71	35	Male
72	79	63	42	Female
74	70	79	37	Male
75	80	70	37	Female
72	74	71	43	Female
78	73	71	22	Male
78	80	73	27	Male
75	78	63	17	Male
73	79	63	35	Male
78	86	76	20	Male
67	75	63	40	Female
71	68	64	40	Female
64	72	55	40	Female
83	84	77	27	Female
67	65	65	38	Male
75	77	65	37	Male
75	83	70	43	Male
78	86	68	33	Male
70	73	62	34	Female
73	78	68	42	Male
68	69	68	40	Female
75	72	75	47	Male
68	77	61	27	Male
69	75	61	32	Female
69	75	78	32	Male
72	72	59	30	Male
85	81	89	17	Male
79	83	69	42	Female
77	83	64	24	Female
69	72	60	37	Female
71	67	74	38	Female
78	83	75	32	Male
74	68	70	27	Male
73	79	69	32	Male
78	76	65	27	Male
76	74	68	32	Female
72	78	69	32	Male
71	78	59	43	Female
66	76	59	27	Female
69	73	65	33	Female
72	71	69	45	Female
69	76	62	34	Female
60	60	61	37	Female
84	83	81	32	Male
67	70	67	40	Male
77	81	69	33	Male
66	67	62	35	Male
71	67	67	27	Female
77	89	68	32	Male
75	80	69	27	Male
74	81	74	43	Male
76	77	71	27	Male
71	76	56	40	Female
81	85	74	20	Male
73	73	76	37	Male
81	75	76	22	Male
73	86	59	27	Male
73	74	68	35	Male
65	72	66	32	Female
74	89	62	32	Male
81	86	77	32	Male
73	79	63	32	Male