Analyze the following using R.

Submit RMarkdown

a) Perform Exploratory Data Analysis Find the Descriptive Statistics, Pie chats, Boxplots, qq-plots, Histogram, dotplots for the following dataset provided using variables Age, Salary and Expense

b) Use the boxplot to distinguish age, salary and expense-distribution against Sex. Interpret your results

ID	Sex	Age	Salary	Expense
12	Male	22	2311	1050
13	Male	24	3231	1265
14	Male	27	2423	1109
15	Male	19	3343	1511
16	Female	20	2535	1147
17	Female	24	3455	1564
18	Female	26	2647	1201
19	Female	29	3567	1617
20	Male	21	2759	1246
21	Male	22	3679	1661
22	Female	26	2871	1300
23	Male	28	3791	1715
24	Female	19	2983	1343
25	Male	21	2999	1351
26	Male	24	2191	990
27	Male	16	3111	1397
28	Male	17	2303	1033
29	Male	21	3223	1450
30	Female	23	2415	1087
31	Female	26	3335	1503
32	Female	20	2527	1134
33	Female	21	3447	1548
34	Male	25	2639	1187
35	Male	27	3559	1602
36	Female	30	3246	1463
37	Male	22	4166	1870
38	Female	23	3358	1507
39	Male	27	4278	1923
39	Male	23	3470	1557
39	Female	27	4390	1974
39	Female	29	3582	1612
39	Female	32	4502	2028
39	Female	24	3694	1658
39	Male	25	3710	1666
39	Male	29	2902	1306
39	Female	31	3822	1721
39	Male	22	3014	1351
39	Female	24	3934	1766
39	Male	27	3126	1405
39	Male	19	4046	1813
39	Female	20	3238	1450
39	Female	24	4158	1867
39	Female	26	3350	1505
39	Female	29	4270	1921
39	Male	23	3957	1776
39	Male	24	4877	2190
39	Female	28	4069	1830
39	Male	30	4989	2246
39	Female	33	4181	1884
39	Male	25	5101	2292
39	Male	26	4293	1929