The data contains latitude and longitude values of all countries in the World. Data can be obtained from the following link: https://www.kaggle.com/paultimothymooney/latitude-and-longitude-for-every-country-and-state/data#
data<-read.csv("C:/Users/Nethraa/Desktop/rmkdn/data.csv")
data<-data[,c(2,3)]data## latitude longitude
## 1 42.546245 1.601554
## 2 23.424076 53.847818
## 3 33.939110 67.709953
## 4 17.060816 -61.796428
## 5 18.220554 -63.068615
## 6 41.153332 20.168331
## 7 40.069099 45.038189
## 8 12.226079 -69.060087
## 9 -11.202692 17.873887
## 10 -75.250973 -0.071389
## 11 -38.416097 -63.616672
## 12 -14.270972 -170.132217
## 13 47.516231 14.550072
## 14 -25.274398 133.775136
## 15 12.521110 -69.968338
## 16 40.143105 47.576927
## 17 43.915886 17.679076
## 18 13.193887 -59.543198
## 19 23.684994 90.356331
## 20 50.503887 4.469936
## 21 12.238333 -1.561593
## 22 42.733883 25.485830
## 23 25.930414 50.637772
## 24 -3.373056 29.918886
## 25 9.307690 2.315834
## 26 32.321384 -64.757370
## 27 4.535277 114.727669
## 28 -16.290154 -63.588653
## 29 -14.235004 -51.925280
## 30 25.034280 -77.396280
## 31 27.514162 90.433601
## 32 -54.423199 3.413194
## 33 -22.328474 24.684866
## 34 53.709807 27.953389
## 35 17.189877 -88.497650
## 36 56.130366 -106.346771
## 37 -12.164165 96.870956
## 38 -4.038333 21.758664
## 39 6.611111 20.939444
## 40 -0.228021 15.827659
## 41 46.818188 8.227512
## 42 7.539989 -5.547080
## 43 -21.236736 -159.777671
## 44 -35.675147 -71.542969
## 45 7.369722 12.354722
## 46 35.861660 104.195397
## 47 4.570868 -74.297333
## 48 9.748917 -83.753428
## 49 21.521757 -77.781167
## 50 16.002082 -24.013197
## 51 -10.447525 105.690449
## 52 35.126413 33.429859
## 53 49.817492 15.472962
## 54 51.165691 10.451526
## 55 11.825138 42.590275
## 56 56.263920 9.501785
## 57 15.414999 -61.370976
## 58 18.735693 -70.162651
## 59 28.033886 1.659626
## 60 -1.831239 -78.183406
## 61 58.595272 25.013607
## 62 26.820553 30.802498
## 63 24.215527 -12.885834
## 64 15.179384 39.782334
## 65 40.463667 -3.749220
## 66 9.145000 40.489673
## 67 61.924110 25.748151
## 68 -16.578193 179.414413
## 69 -51.796253 -59.523613
## 70 7.425554 150.550812
## 71 61.892635 -6.911806
## 72 46.227638 2.213749
## 73 -0.803689 11.609444
## 74 55.378051 -3.435973
## 75 12.262776 -61.604171
## 76 42.315407 43.356892
## 77 3.933889 -53.125782
## 78 49.465691 -2.585278
## 79 7.946527 -1.023194
## 80 36.137741 -5.345374
## 81 71.706936 -42.604303
## 82 13.443182 -15.310139
## 83 9.945587 -9.696645
## 84 16.995971 -62.067641
## 85 1.650801 10.267895
## 86 39.074208 21.824312
## 87 -54.429579 -36.587909
## 88 15.783471 -90.230759
## 89 13.444304 144.793731
## 90 11.803749 -15.180413
## 91 4.860416 -58.930180
## 92 31.354676 34.308825
## 93 22.396428 114.109497
## 94 -53.081810 73.504158
## 95 15.199999 -86.241905
## 96 45.100000 15.200000
## 97 18.971187 -72.285215
## 98 47.162494 19.503304
## 99 -0.789275 113.921327
## 100 53.412910 -8.243890
## 101 31.046051 34.851612
## 102 54.236107 -4.548056
## 103 20.593684 78.962880
## 104 -6.343194 71.876519
## 105 33.223191 43.679291
## 106 32.427908 53.688046
## 107 64.963051 -19.020835
## 108 41.871940 12.567380
## 109 49.214439 -2.131250
## 110 18.109581 -77.297508
## 111 30.585164 36.238414
## 112 36.204824 138.252924
## 113 -0.023559 37.906193
## 114 41.204380 74.766098
## 115 12.565679 104.990963
## 116 -3.370417 -168.734039
## 117 -11.875001 43.872219
## 118 17.357822 -62.782998
## 119 40.339852 127.510093
## 120 35.907757 127.766922
## 121 29.311660 47.481766
## 122 19.513469 -80.566956
## 123 48.019573 66.923684
## 124 19.856270 102.495496
## 125 33.854721 35.862285
## 126 13.909444 -60.978893
## 127 47.166000 9.555373
## 128 7.873054 80.771797
## 129 6.428055 -9.429499
## 130 -29.609988 28.233608
## 131 55.169438 23.881275
## 132 49.815273 6.129583
## 133 56.879635 24.603189
## 134 26.335100 17.228331
## 135 31.791702 -7.092620
## 136 43.750298 7.412841
## 137 47.411631 28.369885
## 138 42.708678 19.374390
## 139 -18.766947 46.869107
## 140 7.131474 171.184478
## 141 41.608635 21.745275
## 142 17.570692 -3.996166
## 143 21.913965 95.956223
## 144 46.862496 103.846656
## 145 22.198745 113.543873
## 146 17.330830 145.384690
## 147 14.641528 -61.024174
## 148 21.007890 -10.940835
## 149 16.742498 -62.187366
## 150 35.937496 14.375416
## 151 -20.348404 57.552152
## 152 3.202778 73.220680
## 153 -13.254308 34.301525
## 154 23.634501 -102.552784
## 155 4.210484 101.975766
## 156 -18.665695 35.529562
## 157 -22.957640 18.490410
## 158 -20.904305 165.618042
## 159 17.607789 8.081666
## 160 -29.040835 167.954712
## 161 9.081999 8.675277
## 162 12.865416 -85.207229
## 163 52.132633 5.291266
## 164 60.472024 8.468946
## 165 28.394857 84.124008
## 166 -0.522778 166.931503
## 167 -19.054445 -169.867233
## 168 -40.900557 174.885971
## 169 21.512583 55.923255
## 170 8.537981 -80.782127
## 171 -9.189967 -75.015152
## 172 -17.679742 -149.406843
## 173 -6.314993 143.955550
## 174 12.879721 121.774017
## 175 30.375321 69.345116
## 176 51.919438 19.145136
## 177 46.941936 -56.271110
## 178 -24.703615 -127.439308
## 179 18.220833 -66.590149
## 180 31.952162 35.233154
## 181 39.399872 -8.224454
## 182 7.514980 134.582520
## 183 -23.442503 -58.443832
## 184 25.354826 51.183884
## 185 -21.115141 55.536384
## 186 45.943161 24.966760
## 187 44.016521 21.005859
## 188 61.524010 105.318756
## 189 -1.940278 29.873888
## 190 23.885942 45.079162
## 191 -9.645710 160.156194
## 192 -4.679574 55.491977
## 193 12.862807 30.217636
## 194 60.128161 18.643501
## 195 1.352083 103.819836
## 196 -24.143474 -10.030696
## 197 46.151241 14.995463
## 198 77.553604 23.670272
## 199 48.669026 19.699024
## 200 8.460555 -11.779889
## 201 43.942360 12.457777
## 202 14.497401 -14.452362
## 203 5.152149 46.199616
## 204 3.919305 -56.027783
## 205 0.186360 6.613081
## 206 13.794185 -88.896530
## 207 34.802075 38.996815
## 208 -26.522503 31.465866
## 209 21.694025 -71.797928
## 210 15.454166 18.732207
## 211 -49.280366 69.348557
## 212 8.619543 0.824782
## 213 15.870032 100.992541
## 214 38.861034 71.276093
## 215 -8.967363 -171.855881
## 216 -8.874217 125.727539
## 217 38.969719 59.556278
## 218 33.886917 9.537499
## 219 -21.178986 -175.198242
## 220 38.963745 35.243322
## 221 10.691803 -61.222503
## 222 -7.109535 177.649330
## 223 23.697810 120.960515
## 224 -6.369028 34.888822
## 225 48.379433 31.165580
## 226 1.373333 32.290275
## 227 NA NA
## 228 37.090240 -95.712891
## 229 -32.522779 -55.765835
## 230 41.377491 64.585262
## 231 41.902916 12.453389
## 232 12.984305 -61.287228
## 233 6.423750 -66.589730
## 234 18.420695 -64.639968
## 235 18.335765 -64.896335
## 236 14.058324 108.277199
## 237 -15.376706 166.959158
## 238 -13.768752 -177.156097
## 239 -13.759029 -172.104629
## 240 42.602636 20.902977
## 241 15.552727 48.516388
## 242 -12.827500 45.166244
## 243 -30.559482 22.937506
## 244 -13.133897 27.849332
## 245 -19.015438 29.154857library(leaflet)
data %>%
leaflet() %>%
addTiles() %>%
addMarkers(clusterOptions = markerClusterOptions())