I have a dataset loaded in Rstudio named data looks like "	state	country	lat	lon	date	confirmed	recovered	death
0	0	Thailand	15	101	1/22/20	2	0	0
1	0	Japan	36	138	1/22/20	2	0	0
2	0	Singapore	1.2833	103.8333	1/22/20	0	0	0
3	0	Nepal	28.1667	84.25	1/22/20	0	0	0
4	0	Malaysia	2.5	112.5	1/22/20	0	0	0
5	British Columbia	Canada	49.2827	-123.1207	1/22/20	0	0	0
6	New South Wales	Australia	-33.8688	151.2093	1/22/20	0	0	0
7	Victoria	Australia	-37.8136	144.9631	1/22/20	0	0	0
8	Queensland	Australia	-28.0167	153.4	1/22/20	0	0	0
9	0	Cambodia	11.55	104.9167	1/22/20	0	0	0
10	0	Sri Lanka	7	81	1/22/20	0	0	0
11	0	Germany	51	9	1/22/20	0	0	0
12	0	Finland	64	26	1/22/20	0	0	0
13	0	United Arab Emirates	24	54	1/22/20	0	0	0
14	0	Philippines	13	122	1/22/20	0	0	0
15	0	India	21	78	1/22/20	0	0	0
16	0	Italy	43	12	1/22/20	0	0	0
17	0	Sweden	63	16	1/22/20	0	0	0
18	0	Spain	40	-4	1/22/20	0	0	0
19	South Australia	Australia	-34.9285	138.6007	1/22/20	0	0	0
20	0	Belgium	50.8333	4	1/22/20	0	0	0
21	0	Egypt	26	30	1/22/20	0	0	0
22	From Diamond Princess	Australia	35.4437	139.638	1/22/20	0	0	0
23	0	Lebanon	33.8547	35.8623	1/22/20	0	0	0
24	0	Iraq	33	44	1/22/20	0	0	0
25	0	Oman	21	57	1/22/20	0	0	0
26	0	Afghanistan	33	65	1/22/20	0	0	0
27	0	Bahrain	26.0275	50.55	1/22/20	0	0	0
28	0	Kuwait	29.5	47.75	1/22/20	0	0	0
29	0	Algeria	28.0339	1.6596	1/22/20	0	0	0
30	0	Croatia	45.1	15.2	1/22/20	0	0	0
31	0	Switzerland	46.8182	8.2275	1/22/20	0	0	0
32	0	Austria	47.5162	14.5501	1/22/20	0	0	0
33	0	Israel	31	35	1/22/20	0	0	0
34	0	Pakistan	30.3753	69.3451	1/22/20	0	0	0
35	0	Brazil	-14.235	-51.9253	1/22/20	0	0	0
36	0	Georgia	42.3154	43.3569	1/22/20	0	0	0
37	0	Greece	39.0742	21.8243	1/22/20	0	0	0
38	0	North Macedonia	41.6086	21.7453	1/22/20	0	0	0
39	0	Norway	60.472	8.4689	1/22/20	0	0	0
40	0	Romania	45.9432	24.9668	1/22/20	0	0	0
41	0	Estonia	58.5953	25.0136	1/22/20	0	0	0
42	0	Netherlands	52.1326	5.2913	1/22/20	0	0	0
43	0	San Marino	43.9424	12.4578	1/22/20	0	0	0
44	0	Belarus	53.7098	27.9534	1/22/20	0	0	0
45	0	Iceland	64.9631	-19.0208	1/22/20	0	0	0
46	0	Lithuania	55.1694	23.8813	1/22/20	0	0	0
47	0	Mexico	23.6345	-102.5528	1/22/20	0	0	0
48	0	New Zealand	-40.9006	174.886	1/22/20	0	0	0
49	0	Nigeria	9.082	8.6753	1/22/20	0	0	0
50	Western Australia	Australia	-31.9505	115.8605	1/22/20	0	0	0
51	0	Ireland	53.1424	-7.6921	1/22/20	0	0	0
52	0	Luxembourg	49.8153	6.1296	1/22/20	0	0	0
53	0	Monaco	43.7333	7.4167	1/22/20	0	0	0
54	0	Qatar	25.3548	51.1839	1/22/20	0	0	0
55	0	Ecuador	-1.8312	-78.1834	1/22/20	0	0	0
56	0	Azerbaijan	40.1431	47.5769	1/22/20	0	0	0
57	0	Armenia	40.0691	45.0382	1/22/20	0	0	0
58	0	Dominican Republic	18.7357	-70.1627	1/22/20	0	0	0
59	0	Indonesia	-0.7893	113.9213	1/22/20	0	0	0
60	0	Portugal	39.3999	-8.2245	1/22/20	0	0	0
61	0	Andorra	42.5063	1.5218	1/22/20	0	0	0
62	Tasmania	Australia	-41.4545	145.9707	1/22/20	0	0	0
63	0	Latvia	56.8796	24.6032	1/22/20	0	0	0
64	0	Morocco	31.7917	-7.0926	1/22/20	0	0	0
65	0	Saudi Arabia	24	45	1/22/20	0	0	0
66	0	Senegal	14.4974	-14.4524	1/22/20	0	0	0
67	0	Argentina	-38.4161	-63.6167	1/22/20	0	0	0
68	0	Chile	-35.6751	-71.543	1/22/20	0	0	0
69	0	Jordan	31.24	36.51	1/22/20	0	0	0
70	0	Ukraine	48.3794	31.1656	1/22/20	0	0	0
71	0	Hungary	47.1625	19.5033	1/22/20	0	0	0
72	Northern Territory	Australia	-12.4634	130.8456	1/22/20	0	0	0
73	0	Liechtenstein	47.14	9.55	1/22/20	0	0	0
74	0	Poland	51.9194	19.1451	1/22/20	0	0	0
75	0	Tunisia	34	9	1/22/20	0	0	0
76	0	Bosnia and Herzegovina	43.9159	17.6791	1/22/20	0	0	0
"
give r code to perform preprocessing then exploratory analysis then predictive modelling