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 the data is loaded as data btw its for geospatial analysis