Kuis Mandarel
Hesty_G1401221019
2023-12-02
##Input Data
data_mandarel <- read.csv("C:/Users/HESTY/Downloads/Global_Education.csv", sep = "," ); data_mandarel## Countries.and.areas Latitude Longitude
## 1 Afghanistan 33.939110 67.709953
## 2 Albania 41.153332 20.168331
## 3 Algeria 28.033886 1.659626
## 4 Andorra 42.506285 1.521801
## 5 Angola 11.202692 17.873887
## 6 Anguilla 18.220554 63.068615
## 7 Antigua and Barbuda 17.060816 61.796428
## 8 Argentina 38.416097 63.616672
## 9 Armenia 40.069099 45.038189
## 10 Australia 25.274398 133.775136
## 11 Austria 47.516231 14.550072
## 12 Azerbaijan 40.143105 47.576927
## 13 The Bahamas 25.034280 77.396280
## 14 Bahrain 26.066700 50.557700
## 15 Bangladesh 23.684994 90.356331
## 16 Barbados 13.193887 59.543198
## 17 Belarus 53.709807 27.953389
## 18 Belgium 50.503887 4.469936
## 19 Belize 17.189877 88.497650
## 20 Benin 9.307690 2.315834
## 21 Bhutan 27.514162 90.433601
## 22 Bolivia 16.290154 63.588653
## 23 Bosnia and Herzegovina 43.915886 17.679076
## 24 Botswana 22.328474 24.684866
## 25 Brazil 14.235004 51.925280
## 26 British Virgin Islands 18.420695 64.639968
## 27 Brunei 4.535277 114.727669
## 28 Bulgaria 42.733883 25.485830
## 29 Burkina Faso 12.238333 1.561593
## 30 Burundi 3.373056 29.918886
## 31 Cape Verde 16.538800 23.041800
## 32 Cambodia 12.565679 104.990963
## 33 Cameroon 7.369722 12.354722
## 34 Canada 56.130366 106.346771
## 35 Central African Republic 6.611111 20.939444
## 36 Chad 15.454166 18.732207
## 37 Chile 35.675147 71.542969
## 38 China 35.861660 104.195397
## 39 Colombia 4.570868 74.297333
## 40 Comoros 11.645500 43.333300
## 41 Republic of the Congo 0.228021 15.827659
## 42 Cook Islands 21.236736 159.777671
## 43 Costa Rica 9.748917 83.753428
## 44 Ivory Coast 7.539989 5.547080
## 45 Croatia 45.100000 15.200000
## 46 Cuba 21.521757 77.781167
## 47 Cyprus 35.126413 33.429859
## 48 Czech Republic 49.817492 15.472962
## 49 North Korea 40.339852 127.510093
## 50 Democratic Republic of the Congo 4.038333 21.758664
## 51 Denmark 56.263920 9.501785
## 52 Djibouti 11.825138 42.590275
## 53 Dominica 15.414999 61.370976
## 54 Dominican Republic 18.735693 70.162651
## 55 Ecuador 1.831239 78.183406
## 56 Egypt 26.820553 30.802498
## 57 El Salvador 13.794185 88.896530
## 58 Equatorial Guinea 1.650801 10.267895
## 59 Eritrea 15.179384 39.782334
## 60 Estonia 58.595272 25.013607
## 61 Eswatini 26.522503 31.465866
## 62 Ethiopia 9.145000 40.489673
## 63 Fiji 17.713371 178.065032
## 64 Finland 61.924110 25.748151
## 65 France 46.227638 2.213749
## 66 Gabon 0.803689 11.609444
## 67 The Gambia 13.443182 15.310139
## 68 Georgia 42.315407 43.356892
## 69 Germany 51.165691 10.451526
## 70 Ghana 7.946527 1.023194
## 71 Greece 39.074208 21.824312
## 72 Grenada 12.116500 61.679000
## 73 Guatemala 15.783471 90.230759
## 74 Guinea 9.945587 9.696645
## 75 Guinea0Bissau 11.803749 15.180413
## 76 Guyana 4.860416 58.930180
## 77 Haiti 18.971187 72.285215
## 78 Vatican City 41.902916 12.453389
## 79 Honduras 15.199999 86.241905
## 80 Hungary 47.162494 19.503304
## 81 Iceland 64.963051 19.020835
## 82 India 20.593684 78.962880
## 83 Indonesia 0.789275 113.921327
## 84 Iran 32.427908 53.688046
## 85 Iraq 33.223191 43.679291
## 86 Republic of Ireland 53.412910 8.243890
## 87 Israel 31.046051 34.851612
## 88 Italy 41.871940 12.567380
## 89 Jamaica 18.109581 77.297508
## 90 Japan 36.204824 138.252924
## 91 Jordan 31.302848 36.786839
## 92 Kazakhstan 48.019573 66.923684
## 93 Kenya 0.023559 37.906193
## 94 Kiribati 1.836898 157.376832
## 95 Kuwait 29.311660 47.481766
## 96 Kyrgyzstan 41.204380 74.766098
## 97 Laos 19.856270 102.495496
## 98 Latvia 56.879635 24.603189
## 99 Lebanon 33.854721 35.862285
## 100 Lesotho 29.609988 28.233608
## 101 Liberia 6.428055 9.429499
## 102 Libya 26.335100 17.228331
## 103 Liechtenstein 47.141039 9.520935
## 104 Lithuania 55.169438 23.881275
## 105 Luxembourg 49.815273 6.129583
## 106 Madagascar 18.766947 46.869107
## 107 Malawi 13.254308 34.301525
## 108 Malaysia 4.210484 101.975766
## 109 Maldives 3.202778 73.220680
## 110 Mali 17.570692 3.996166
## 111 Malta 35.937496 14.375416
## 112 Marshall Islands 7.131474 171.184478
## 113 Mauritania 21.007890 10.940835
## 114 Mauritius 20.348404 57.552152
## 115 Mexico 23.634501 102.552784
## 116 Federated States of Micronesia 7.425554 150.550812
## 117 Monaco 43.738418 7.424616
## 118 Mongolia 46.862496 103.846656
## 119 Montenegro 42.708678 19.374390
## 120 Montserrat 16.742498 62.187366
## 121 Morocco 31.791702 7.092620
## 122 Mozambique 18.665695 35.529562
## 123 Myanmar 21.916221 95.955974
## 124 Namibia 22.957640 18.490410
## 125 Nauru 0.522778 166.931503
## 126 Nepal 28.394857 84.124008
## 127 Netherlands 52.132633 5.291266
## 128 New Zealand 40.900557 174.885971
## 129 Nicaragua 12.865416 85.207229
## 130 Niger 17.607789 8.081666
## 131 Nigeria 9.081999 8.675277
## 132 Niue 19.054445 169.867233
## 133 North Macedonia 41.608635 21.745275
## 134 Norway 60.472024 8.468946
## 135 Oman 21.473533 55.975413
## 136 Pakistan 30.375321 69.345116
## 137 Palau 7.514980 134.582520
## 138 Panama 8.537981 80.782127
## 139 Papua New Guinea 6.314993 143.955550
## 140 Paraguay 23.442503 58.443832
## 141 Peru 9.189967 75.015152
## 142 Philippines 12.879721 121.774017
## 143 Poland 51.919438 19.145136
## 144 Portugal 39.399872 8.224454
## 145 Qatar 25.354826 51.183884
## 146 South Korea 35.907757 127.766922
## 147 Moldova 47.411631 28.369885
## 148 Romania 45.943161 24.966760
## 149 Russia 61.524010 105.318756
## 150 Rwanda 1.940278 29.873888
## 151 Saint Kitts and Nevis 17.357822 62.782998
## 152 Saint Lucia 13.909444 60.978893
## 153 Saint Vincent and the Grenadines 12.984305 61.287228
## 154 Samoa 13.759029 172.104629
## 155 San Marino 43.942360 12.457777
## 156 S�������\xef\xbf 0.186360 6.613081
## 157 Saudi Arabia 23.885942 45.079162
## 158 Senegal 14.497401 14.452362
## 159 Serbia 44.016521 21.005859
## 160 Seychelles 4.679574 55.491977
## 161 Sierra Leone 8.460555 11.779889
## 162 Singapore 1.352083 103.819836
## 163 Slovakia 48.669026 19.699024
## 164 Slovenia 46.151241 14.995463
## 165 Solomon Islands 9.645710 160.156194
## 166 Somalia 5.152149 46.199616
## 167 South Africa 30.559482 22.937506
## 168 South Sudan 6.876992 31.306979
## 169 Spain 40.463667 3.749220
## 170 Sri Lanka 7.873054 80.771797
## 171 Palestinian National Authority 31.952162 35.233154
## 172 Sudan 12.862807 30.217636
## 173 Suriname 3.919305 56.027783
## 174 Sweden 60.128161 18.643501
## 175 Switzerland 46.818188 8.227512
## 176 Syria 34.802075 38.996815
## 177 Tajikistan 38.861034 71.276093
## 178 Thailand 15.870032 100.992541
## 179 East Timor 8.874217 125.727539
## 180 Togo 8.619543 0.824782
## 181 Tokelau 9.200200 171.848400
## 182 Tonga 21.178986 175.198242
## 183 Trinidad and Tobago 10.691803 61.222503
## 184 Tunisia 33.886917 9.537499
## 185 Turkey 38.963745 35.243322
## 186 Turkmenistan 38.969719 59.556278
## 187 Turks and Caicos Islands 21.694025 71.797928
## 188 Tuvalu 7.109535 177.649330
## 189 Uganda 1.373333 32.290275
## 190 Ukraine 48.379433 31.165580
## 191 United Arab Emirates 23.424076 53.847818
## 192 United Kingdom 55.378051 3.435973
## 193 Tanzania 6.369028 34.888822
## 194 United States 37.090240 95.712891
## 195 Uruguay 32.522779 55.765835
## 196 Uzbekistan 41.377491 64.585262
## 197 Vanuatu 15.376706 166.959158
## 198 Venezuela 6.423750 66.589730
## 199 Vietnam 14.058324 108.277199
## 200 Yemen 15.552727 48.516388
## 201 Zambia 13.133897 27.849332
## 202 Zimbabwe 19.015438 29.154857
## OOSR_Pre0Primary_Age_Male OOSR_Pre0Primary_Age_Female OOSR_Primary_Age_Male
## 1 0 0 0
## 2 4 2 6
## 3 0 0 0
## 4 0 0 0
## 5 31 39 0
## 6 14 0 0
## 7 14 4 4
## 8 2 2 0
## 9 52 50 9
## 10 13 14 0
## 11 0 0 0
## 12 32 19 10
## 13 0 0 0
## 14 31 28 2
## 15 0 0 0
## 16 6 10 1
## 17 0 4 1
## 18 3 2 1
## 19 18 16 1
## 20 15 16 3
## 21 58 59 5
## 22 9 8 5
## 23 72 73 0
## 24 79 78 12
## 25 0 1 1
## 26 9 2 4
## 27 17 18 0
## 28 19 20 13
## 29 81 81 21
## 30 52 50 9
## 31 19 19 6
## 32 48 44 9
## 33 56 57 4
## 34 0 0 0
## 35 0 0 0
## 36 85 87 17
## 37 8 8 1
## 38 0 0 0
## 39 3 1 3
## 40 71 70 18
## 41 71 70 15
## 42 3 0 2
## 43 4 4 3
## 44 78 78 2
## 45 5 5 0
## 46 2 2 1
## 47 1 2 0
## 48 10 10 1
## 49 0 0 0
## 50 0 0 0
## 51 2 2 1
## 52 85 88 32
## 53 21 7 4
## 54 7 6 4
## 55 8 3 0
## 56 63 63 0
## 57 18 17 14
## 58 57 55 56
## 59 73 73 45
## 60 12 12 2
## 61 0 0 15
## 62 62 64 11
## 63 0 1 1
## 64 2 3 1
## 65 0 0 0
## 66 0 0 0
## 67 42 36 19
## 68 0 0 2
## 69 1 1 1
## 70 14 12 1
## 71 6 5 2
## 72 4 1 0
## 73 16 16 11
## 74 57 60 15
## 75 0 0 0
## 76 0 0 0
## 77 0 0 0
## 78 0 0 0
## 79 24 22 11
## 80 12 14 4
## 81 4 3 0
## 82 0 0 3
## 83 8 2 3
## 84 50 49 0
## 85 0 0 0
## 86 2 2 0
## 87 1 0 0
## 88 6 7 3
## 89 8 6 0
## 90 0 0 0
## 91 55 55 18
## 92 22 23 10
## 93 0 0 0
## 94 0 0 0
## 95 21 16 4
## 96 11 10 0
## 97 31 30 8
## 98 2 2 2
## 99 0 0 0
## 100 58 57 3
## 101 21 21 22
## 102 0 0 0
## 103 1 2 3
## 104 3 3 0
## 105 1 1 1
## 106 43 38 0
## 107 0 0 0
## 108 1 1 0
## 109 8 5 3
## 110 53 57 38
## 111 0 5 0
## 112 32 31 25
## 113 0 0 25
## 114 9 8 3
## 115 2 0 0
## 116 30 34 9
## 117 0 0 0
## 118 3 5 2
## 119 23 24 3
## 120 19 14 15
## 121 31 39 2
## 122 0 0 1
## 123 88 88 0
## 124 33 30 0
## 125 11 3 0
## 126 9 17 0
## 127 1 0 1
## 128 6 7 1
## 129 0 0 0
## 130 76 76 37
## 131 0 0 0
## 132 13 38 0
## 133 51 51 1
## 134 3 3 0
## 135 16 13 0
## 136 0 14 0
## 137 0 19 0
## 138 25 23 13
## 139 28 29 4
## 140 31 30 0
## 141 1 1 0
## 142 14 13 3
## 143 4 5 2
## 144 5 6 0
## 145 10 7 3
## 146 1 1 1
## 147 5 5 9
## 148 18 18 12
## 149 9 10 1
## 150 48 47 6
## 151 0 21 0
## 152 5 0 3
## 153 9 3 0
## 154 65 65 0
## 155 12 14 0
## 156 49 46 6
## 157 51 48 1
## 158 85 83 30
## 159 9 10 2
## 160 9 6 0
## 161 58 57 2
## 162 0 0 0
## 163 15 17 5
## 164 5 6 1
## 165 36 33 9
## 166 0 0 0
## 167 28 27 12
## 168 78 81 58
## 169 5 5 3
## 170 0 0 2
## 171 35 34 3
## 172 60 60 31
## 173 12 10 14
## 174 0 0 0
## 175 1 0 0
## 176 60 61 27
## 177 87 88 1
## 178 1 1 0
## 179 51 48 7
## 180 1 7 2
## 181 20 0 0
## 182 0 0 0
## 183 0 0 0
## 184 0 0 0
## 185 23 25 5
## 186 0 0 0
## 187 19 0 0
## 188 13 9 13
## 189 0 0 6
## 190 0 0 9
## 191 0 0 8
## 192 3 0 1
## 193 45 42 15
## 194 12 8 1
## 195 2 1 3
## 196 53 55 0
## 197 38 38 8
## 198 14 14 10
## 199 0 0 0
## 200 96 96 10
## 201 0 0 17
## 202 60 58 0
## OOSR_Primary_Age_Female OOSR_Lower_Secondary_Age_Male
## 1 0 0
## 2 3 6
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## 7 1 1
## 8 0 0
## 9 9 11
## 10 0 2
## 11 0 1
## 12 7 0
## 13 0 23
## 14 3 7
## 15 0 0
## 16 2 7
## 17 2 1
## 18 0 1
## 19 1 9
## 20 10 27
## 21 2 18
## 22 5 13
## 23 0 0
## 24 10 0
## 25 1 2
## 26 3 8
## 27 0 0
## 28 13 12
## 29 22 48
## 30 6 36
## 31 7 14
## 32 9 12
## 33 13 33
## 34 0 0
## 35 0 0
## 36 35 55
## 37 2 5
## 38 0 0
## 39 2 6
## 40 18 20
## 41 16 0
## 42 2 4
## 43 3 3
## 44 8 41
## 45 0 3
## 46 1 10
## 47 1 2
## 48 0 1
## 49 0 0
## 50 0 0
## 51 0 0
## 52 35 48
## 53 3 3
## 54 4 6
## 55 0 6
## 56 0 3
## 57 13 17
## 58 55 0
## 59 50 32
## 60 2 2
## 61 17 3
## 62 18 45
## 63 1 0
## 64 1 1
## 65 0 1
## 66 0 0
## 67 10 0
## 68 2 1
## 69 0 6
## 70 0 13
## 71 1 3
## 72 0 0
## 73 10 30
## 74 29 43
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 14 44
## 80 5 3
## 81 1 1
## 82 1 18
## 83 8 19
## 84 0 3
## 85 0 0
## 86 0 0
## 87 0 0
## 88 3 2
## 89 0 19
## 90 0 0
## 91 19 29
## 92 9 0
## 93 0 0
## 94 0 0
## 95 1 9
## 96 0 2
## 97 9 27
## 98 1 1
## 99 0 0
## 100 2 21
## 101 21 17
## 102 0 0
## 103 2 1
## 104 0 0
## 105 1 4
## 106 0 31
## 107 0 19
## 108 0 15
## 109 1 0
## 110 44 49
## 111 0 2
## 112 27 33
## 113 21 31
## 114 1 6
## 115 0 9
## 116 11 15
## 117 0 0
## 118 3 8
## 119 3 8
## 120 15 0
## 121 3 8
## 122 4 39
## 123 0 22
## 124 0 0
## 125 0 13
## 126 0 4
## 127 1 3
## 128 1 1
## 129 0 0
## 130 45 61
## 131 0 0
## 132 0 0
## 133 1 0
## 134 0 0
## 135 0 0
## 136 0 0
## 137 0 0
## 138 14 13
## 139 10 10
## 140 0 0
## 141 0 3
## 142 3 14
## 143 2 1
## 144 1 0
## 145 0 1
## 146 1 3
## 147 11 15
## 148 13 9
## 149 0 2
## 150 6 6
## 151 0 0
## 152 0 9
## 153 0 1
## 154 0 0
## 155 0 0
## 156 6 12
## 157 3 0
## 158 21 0
## 159 2 2
## 160 0 0
## 161 2 49
## 162 0 0
## 163 4 5
## 164 0 2
## 165 4 0
## 166 0 0
## 167 10 16
## 168 67 49
## 169 3 1
## 170 3 0
## 171 3 4
## 172 35 33
## 173 11 19
## 174 0 0
## 175 0 1
## 176 28 37
## 177 2 0
## 178 0 0
## 179 3 12
## 180 4 15
## 181 0 0
## 182 0 6
## 183 0 0
## 184 0 0
## 185 5 6
## 186 0 0
## 187 0 22
## 188 17 27
## 189 3 0
## 190 7 4
## 191 5 2
## 192 1 2
## 193 12 0
## 194 1 3
## 195 3 1
## 196 2 0
## 197 7 2
## 198 10 15
## 199 0 0
## 200 21 23
## 201 13 0
## 202 0 0
## OOSR_Lower_Secondary_Age_Female OOSR_Upper_Secondary_Age_Male
## 1 0 44
## 2 1 21
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## 7 2 14
## 8 0 15
## 9 9 16
## 10 3 10
## 11 0 10
## 12 0 0
## 13 21 29
## 14 0 18
## 15 0 41
## 16 3 7
## 17 1 6
## 18 1 1
## 19 11 38
## 20 43 46
## 21 6 33
## 22 14 22
## 23 0 22
## 24 0 0
## 25 3 16
## 26 7 24
## 27 0 19
## 28 13 10
## 29 44 67
## 30 31 67
## 31 13 29
## 32 14 0
## 33 40 50
## 34 0 6
## 35 0 0
## 36 70 71
## 37 6 5
## 38 0 0
## 39 5 22
## 40 18 52
## 41 0 0
## 42 6 30
## 43 1 7
## 44 48 52
## 45 1 16
## 46 10 20
## 47 2 6
## 48 2 3
## 49 0 0
## 50 0 0
## 51 1 11
## 52 48 66
## 53 1 19
## 54 6 23
## 55 3 20
## 56 2 23
## 57 17 33
## 58 0 0
## 59 40 45
## 60 0 1
## 61 3 14
## 62 49 73
## 63 0 0
## 64 0 3
## 65 1 5
## 66 0 0
## 67 0 0
## 68 2 7
## 69 4 12
## 70 8 28
## 71 5 4
## 72 0 8
## 73 35 57
## 74 60 59
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 31 58
## 80 3 12
## 81 0 15
## 82 12 47
## 83 14 23
## 84 6 25
## 85 0 0
## 86 0 2
## 87 0 0
## 88 2 6
## 89 17 25
## 90 0 0
## 91 30 48
## 92 0 0
## 93 0 0
## 94 0 0
## 95 4 20
## 96 3 30
## 97 28 42
## 98 1 5
## 99 0 0
## 100 13 38
## 101 26 20
## 102 0 0
## 103 7 10
## 104 0 4
## 105 5 22
## 106 29 63
## 107 18 62
## 108 12 41
## 109 0 0
## 110 56 71
## 111 1 10
## 112 29 45
## 113 25 63
## 114 4 25
## 115 7 28
## 116 10 0
## 117 0 0
## 118 7 22
## 119 7 12
## 120 0 0
## 121 11 26
## 122 47 65
## 123 20 47
## 124 0 0
## 125 4 52
## 126 1 26
## 127 2 1
## 128 1 4
## 129 0 0
## 130 69 84
## 131 0 0
## 132 0 0
## 133 0 0
## 134 1 8
## 135 0 8
## 136 0 0
## 137 0 0
## 138 12 35
## 139 19 40
## 140 0 33
## 141 3 15
## 142 7 24
## 143 3 4
## 144 0 2
## 145 9 0
## 146 3 4
## 147 16 36
## 148 9 21
## 149 1 3
## 150 2 50
## 151 0 4
## 152 10 20
## 153 2 16
## 154 0 15
## 155 0 51
## 156 7 19
## 157 3 3
## 158 0 0
## 159 2 14
## 160 0 24
## 161 49 64
## 162 1 0
## 163 5 11
## 164 1 2
## 165 0 0
## 166 0 0
## 167 13 22
## 168 63 57
## 169 1 2
## 170 0 18
## 171 1 32
## 172 35 53
## 173 11 42
## 174 0 1
## 175 1 16
## 176 39 66
## 177 0 0
## 178 0 21
## 179 9 27
## 180 28 47
## 181 0 53
## 182 4 43
## 183 0 0
## 184 0 0
## 185 7 17
## 186 0 0
## 187 17 29
## 188 32 61
## 189 0 0
## 190 3 7
## 191 3 2
## 192 2 5
## 193 0 84
## 194 1 4
## 195 0 15
## 196 2 14
## 197 4 41
## 198 13 28
## 199 0 0
## 200 34 46
## 201 0 0
## 202 0 45
## OOSR_Upper_Secondary_Age_Female Completion_Rate_Primary_Male
## 1 69 67
## 2 15 94
## 3 0 93
## 4 0 0
## 5 0 63
## 6 0 0
## 7 12 0
## 8 7 91
## 9 4 99
## 10 6 0
## 11 9 0
## 12 0 0
## 13 24 0
## 14 6 0
## 15 36 76
## 16 3 99
## 17 4 100
## 18 2 0
## 19 35 95
## 20 66 51
## 21 22 67
## 22 22 0
## 23 19 99
## 24 0 95
## 25 14 95
## 26 16 0
## 27 16 0
## 28 14 0
## 29 65 32
## 30 62 46
## 31 24 0
## 32 0 68
## 33 58 75
## 34 6 0
## 35 0 54
## 36 85 31
## 37 5 96
## 38 0 97
## 39 20 91
## 40 48 75
## 41 0 78
## 42 27 0
## 43 5 98
## 44 64 60
## 45 11 0
## 46 15 100
## 47 8 0
## 48 3 0
## 49 0 100
## 50 0 67
## 51 9 0
## 52 67 0
## 53 17 0
## 54 21 88
## 55 18 98
## 56 24 91
## 57 35 84
## 58 0 0
## 59 53 0
## 60 2 0
## 61 18 64
## 62 75 47
## 63 0 0
## 64 5 0
## 65 4 0
## 66 0 66
## 67 0 64
## 68 4 100
## 69 16 0
## 70 28 69
## 71 6 0
## 72 7 0
## 73 61 80
## 74 76 52
## 75 0 29
## 76 0 96
## 77 0 49
## 78 0 0
## 79 54 81
## 80 12 0
## 81 11 0
## 82 48 92
## 83 22 91
## 84 27 0
## 85 0 78
## 86 1 0
## 87 0 0
## 88 5 0
## 89 22 99
## 90 0 0
## 91 43 96
## 92 0 100
## 93 0 77
## 94 0 92
## 95 17 0
## 96 26 99
## 97 46 84
## 98 4 0
## 99 0 0
## 100 29 69
## 101 31 36
## 102 0 0
## 103 22 0
## 104 2 0
## 105 17 0
## 106 64 52
## 107 76 43
## 108 32 0
## 109 0 0
## 110 79 50
## 111 7 0
## 112 41 0
## 113 59 68
## 114 17 0
## 115 24 98
## 116 0 0
## 117 0 0
## 118 20 96
## 119 10 95
## 120 0 0
## 121 30 0
## 122 73 44
## 123 38 82
## 124 0 75
## 125 60 0
## 126 13 81
## 127 1 0
## 128 1 0
## 129 0 0
## 130 89 35
## 131 0 71
## 132 0 0
## 133 0 97
## 134 7 0
## 135 17 0
## 136 0 64
## 137 0 0
## 138 31 95
## 139 51 0
## 140 30 93
## 141 21 95
## 142 17 89
## 143 4 0
## 144 4 0
## 145 0 0
## 146 4 0
## 147 35 99
## 148 19 0
## 149 3 0
## 150 49 48
## 151 5 0
## 152 21 99
## 153 14 0
## 154 5 0
## 155 57 0
## 156 16 79
## 157 9 0
## 158 0 44
## 159 11 99
## 160 12 0
## 161 67 63
## 162 0 0
## 163 11 0
## 164 1 0
## 165 0 0
## 166 0 0
## 167 20 95
## 168 72 31
## 169 1 0
## 170 13 99
## 171 18 99
## 172 50 66
## 173 34 80
## 174 3 0
## 175 20 0
## 176 66 0
## 177 0 99
## 178 21 98
## 179 22 77
## 180 66 83
## 181 30 0
## 182 33 98
## 183 0 0
## 184 0 94
## 185 17 99
## 186 0 100
## 187 35 0
## 188 39 0
## 189 0 39
## 190 4 100
## 191 2 0
## 192 4 0
## 193 88 75
## 194 3 0
## 195 9 96
## 196 15 0
## 197 46 0
## 198 19 0
## 199 0 96
## 200 68 70
## 201 0 71
## 202 50 86
## Completion_Rate_Primary_Female Completion_Rate_Lower_Secondary_Male
## 1 40 49
## 2 96 98
## 3 93 49
## 4 0 0
## 5 57 42
## 6 0 0
## 7 0 0
## 8 94 70
## 9 99 95
## 10 0 0
## 11 0 0
## 12 0 0
## 13 0 0
## 14 0 0
## 15 89 59
## 16 99 98
## 17 100 100
## 18 0 0
## 19 96 55
## 20 44 25
## 21 71 41
## 22 0 0
## 23 100 97
## 24 98 92
## 25 97 81
## 26 0 0
## 27 0 0
## 28 0 0
## 29 29 13
## 30 54 26
## 31 0 0
## 32 79 41
## 33 74 52
## 34 0 0
## 35 33 16
## 36 24 18
## 37 97 94
## 38 97 93
## 39 95 74
## 40 77 47
## 41 82 56
## 42 0 0
## 43 99 70
## 44 53 36
## 45 0 0
## 46 98 95
## 47 0 0
## 48 0 0
## 49 100 100
## 50 66 58
## 51 0 0
## 52 0 0
## 53 0 0
## 54 94 76
## 55 98 89
## 56 92 79
## 57 89 73
## 58 0 0
## 59 0 0
## 60 0 0
## 61 77 47
## 62 48 19
## 63 0 0
## 64 0 0
## 65 0 0
## 66 75 32
## 67 60 50
## 68 100 98
## 69 0 0
## 70 73 45
## 71 0 0
## 72 0 0
## 73 76 52
## 74 39 33
## 75 25 18
## 76 99 80
## 77 58 32
## 78 0 0
## 79 87 46
## 80 0 0
## 81 0 0
## 82 91 82
## 83 92 64
## 84 0 0
## 85 73 46
## 86 0 0
## 87 0 0
## 88 0 0
## 89 100 97
## 90 0 0
## 91 97 86
## 92 100 100
## 93 82 61
## 94 96 69
## 95 0 0
## 96 100 99
## 97 83 54
## 98 0 0
## 99 0 0
## 100 92 33
## 101 33 29
## 102 0 0
## 103 0 0
## 104 0 0
## 105 0 0
## 106 60 26
## 107 52 23
## 108 0 0
## 109 0 0
## 110 41 36
## 111 0 0
## 112 0 0
## 113 58 53
## 114 0 0
## 115 98 87
## 116 0 0
## 117 0 0
## 118 98 87
## 119 98 93
## 120 0 0
## 121 0 0
## 122 39 15
## 123 84 45
## 124 86 48
## 125 0 0
## 126 83 71
## 127 0 0
## 128 0 0
## 129 0 0
## 130 24 10
## 131 71 66
## 132 0 0
## 133 100 93
## 134 0 0
## 135 0 0
## 136 55 55
## 137 0 0
## 138 96 75
## 139 0 0
## 140 96 81
## 141 95 83
## 142 95 75
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 99 95
## 148 0 0
## 149 0 0
## 150 61 25
## 151 0 0
## 152 99 85
## 153 0 0
## 154 0 0
## 155 0 0
## 156 86 32
## 157 0 0
## 158 50 27
## 159 100 99
## 160 0 0
## 161 65 47
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 98 85
## 168 18 22
## 169 0 0
## 170 99 94
## 171 100 80
## 172 64 49
## 173 90 41
## 174 0 0
## 175 0 0
## 176 0 0
## 177 98 95
## 178 99 81
## 179 85 63
## 180 76 55
## 181 0 0
## 182 99 65
## 183 0 0
## 184 97 68
## 185 98 96
## 186 100 99
## 187 0 0
## 188 0 0
## 189 43 27
## 190 99 100
## 191 0 0
## 192 0 0
## 193 84 31
## 194 0 0
## 195 98 66
## 196 0 0
## 197 0 0
## 198 0 0
## 199 97 81
## 200 55 55
## 201 73 54
## 202 92 45
## Completion_Rate_Lower_Secondary_Female Completion_Rate_Upper_Secondary_Male
## 1 26 32
## 2 97 76
## 3 65 22
## 4 0 0
## 5 32 24
## 6 0 0
## 7 0 0
## 8 79 46
## 9 99 69
## 10 0 0
## 11 0 0
## 12 0 0
## 13 0 0
## 14 0 0
## 15 71 32
## 16 98 91
## 17 100 91
## 18 0 0
## 19 66 48
## 20 13 12
## 21 38 25
## 22 0 0
## 23 97 92
## 24 92 55
## 25 89 65
## 26 0 0
## 27 0 0
## 28 0 0
## 29 6 6
## 30 19 4
## 31 0 0
## 32 39 20
## 33 43 26
## 34 0 0
## 35 8 8
## 36 10 15
## 37 97 83
## 38 93 63
## 39 81 69
## 40 45 24
## 41 45 28
## 42 0 0
## 43 76 56
## 44 22 17
## 45 0 0
## 46 98 85
## 47 0 0
## 48 0 0
## 49 100 100
## 50 52 36
## 51 0 0
## 52 0 0
## 53 0 0
## 54 89 48
## 55 92 78
## 56 81 43
## 57 74 34
## 58 0 0
## 59 0 0
## 60 0 0
## 61 54 31
## 62 22 11
## 63 0 0
## 64 0 0
## 65 0 0
## 66 33 14
## 67 48 33
## 68 98 79
## 69 0 0
## 70 50 12
## 71 0 0
## 72 0 0
## 73 45 27
## 74 20 22
## 75 16 14
## 76 88 49
## 77 38 17
## 78 0 0
## 79 52 29
## 80 0 0
## 81 0 0
## 82 79 46
## 83 59 40
## 84 0 0
## 85 47 45
## 86 0 0
## 87 0 0
## 88 0 0
## 89 97 80
## 90 0 0
## 91 88 49
## 92 100 95
## 93 69 44
## 94 88 13
## 95 0 0
## 96 99 89
## 97 53 32
## 98 0 0
## 99 0 0
## 100 55 27
## 101 23 18
## 102 0 0
## 103 0 0
## 104 0 0
## 105 0 0
## 106 27 16
## 107 21 15
## 108 0 0
## 109 0 0
## 110 25 23
## 111 0 0
## 112 0 0
## 113 40 31
## 114 0 0
## 115 90 56
## 116 0 0
## 117 0 0
## 118 93 60
## 119 97 83
## 120 0 0
## 121 0 0
## 122 11 8
## 123 45 14
## 124 62 33
## 125 0 0
## 126 75 27
## 127 0 0
## 128 0 0
## 129 0 0
## 130 4 4
## 131 59 57
## 132 0 0
## 133 95 86
## 134 0 0
## 135 0 0
## 136 45 24
## 137 0 0
## 138 81 57
## 139 0 0
## 140 79 60
## 141 83 78
## 142 88 74
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 98 63
## 148 0 0
## 149 0 0
## 150 30 19
## 151 0 0
## 152 98 70
## 153 0 0
## 154 0 0
## 155 0 0
## 156 36 4
## 157 0 0
## 158 30 11
## 159 99 71
## 160 0 0
## 161 42 27
## 162 0 0
## 163 0 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 91 45
## 168 10 12
## 169 0 0
## 170 96 32
## 171 93 52
## 172 52 33
## 173 58 18
## 174 0 0
## 175 0 0
## 176 0 0
## 177 93 80
## 178 92 59
## 179 70 49
## 180 39 31
## 181 0 0
## 182 76 45
## 183 0 0
## 184 80 40
## 185 92 51
## 186 100 93
## 187 0 0
## 188 0 0
## 189 23 18
## 190 100 97
## 191 0 0
## 192 0 0
## 193 27 32
## 194 0 0
## 195 73 48
## 196 0 0
## 197 0 0
## 198 0 0
## 199 87 50
## 200 39 37
## 201 50 33
## 202 53 17
## Completion_Rate_Upper_Secondary_Female Grade_2_3_Proficiency_Reading
## 1 14 22
## 2 80 0
## 3 37 0
## 4 0 0
## 5 15 0
## 6 0 0
## 7 0 0
## 8 53 76
## 9 79 0
## 10 0 94
## 11 0 0
## 12 0 0
## 13 0 0
## 14 0 69
## 15 27 47
## 16 97 0
## 17 94 0
## 18 0 0
## 19 51 0
## 20 5 9
## 21 18 0
## 22 0 0
## 23 92 0
## 24 66 0
## 25 75 80
## 26 0 0
## 27 0 0
## 28 0 0
## 29 2 36
## 30 3 79
## 31 0 0
## 32 20 0
## 33 21 30
## 34 0 96
## 35 6 0
## 36 6 18
## 37 88 94
## 38 67 82
## 39 78 79
## 40 32 0
## 41 19 38
## 42 0 0
## 43 60 89
## 44 15 17
## 45 0 0
## 46 86 0
## 47 0 0
## 48 0 97
## 49 100 94
## 50 27 0
## 51 0 97
## 52 0 0
## 53 0 0
## 54 66 44
## 55 79 74
## 56 41 0
## 57 36 0
## 58 0 0
## 59 0 0
## 60 0 0
## 61 33 0
## 62 14 0
## 63 0 0
## 64 0 98
## 65 0 0
## 66 14 0
## 67 28 5
## 68 83 86
## 69 0 0
## 70 9 0
## 71 0 0
## 72 0 0
## 73 25 68
## 74 13 0
## 75 8 0
## 76 64 0
## 77 16 0
## 78 0 0
## 79 35 70
## 80 0 0
## 81 0 0
## 82 40 47
## 83 37 0
## 84 0 66
## 85 43 0
## 86 0 98
## 87 0 91
## 88 0 98
## 89 83 0
## 90 0 0
## 91 63 0
## 92 96 0
## 93 38 53
## 94 20 0
## 95 0 0
## 96 85 39
## 97 31 0
## 98 0 99
## 99 0 0
## 100 37 13
## 101 9 0
## 102 0 0
## 103 0 0
## 104 0 0
## 105 0 0
## 106 15 13
## 107 13 0
## 108 0 0
## 109 0 0
## 110 12 0
## 111 0 73
## 112 0 0
## 113 23 0
## 114 0 0
## 115 60 78
## 116 0 0
## 117 0 0
## 118 73 44
## 119 90 0
## 120 0 0
## 121 0 36
## 122 5 0
## 123 19 0
## 124 39 0
## 125 0 0
## 126 28 0
## 127 0 99
## 128 0 90
## 129 0 61
## 130 1 9
## 131 44 0
## 132 0 0
## 133 79 0
## 134 0 99
## 135 0 59
## 136 23 35
## 137 0 0
## 138 68 65
## 139 0 0
## 140 67 61
## 141 72 80
## 142 83 0
## 143 0 98
## 144 0 97
## 145 0 66
## 146 0 0
## 147 71 0
## 148 0 0
## 149 0 0
## 150 16 0
## 151 0 0
## 152 90 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 8 0
## 157 0 63
## 158 10 29
## 159 81 0
## 160 0 0
## 161 18 6
## 162 0 97
## 163 0 0
## 164 0 96
## 165 0 0
## 166 0 0
## 167 52 22
## 168 4 0
## 169 0 97
## 170 43 0
## 171 73 0
## 172 28 0
## 173 26 30
## 174 0 98
## 175 0 0
## 176 0 0
## 177 63 0
## 178 72 0
## 179 55 0
## 180 12 19
## 181 0 0
## 182 56 0
## 183 0 80
## 184 57 47
## 185 44 0
## 186 95 0
## 187 0 0
## 188 0 0
## 189 15 33
## 190 97 0
## 191 0 68
## 192 0 0
## 193 27 0
## 194 0 0
## 195 29 80
## 196 0 0
## 197 0 0
## 198 0 0
## 199 61 0
## 200 23 0
## 201 27 0
## 202 14 20
## Grade_2_3_Proficiency_Math Primary_End_Proficiency_Reading
## 1 25 13
## 2 0 0
## 3 0 0
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 71 46
## 9 0 0
## 10 70 0
## 11 0 98
## 12 0 81
## 13 0 0
## 14 40 0
## 15 34 44
## 16 0 0
## 17 0 0
## 18 0 0
## 19 0 0
## 20 34 23
## 21 0 0
## 22 0 0
## 23 0 0
## 24 0 0
## 25 71 53
## 26 0 0
## 27 0 0
## 28 0 95
## 29 59 21
## 30 97 7
## 31 0 0
## 32 0 50
## 33 57 24
## 34 69 0
## 35 0 0
## 36 48 3
## 37 90 70
## 38 85 0
## 39 64 55
## 40 0 0
## 41 72 17
## 42 0 0
## 43 84 68
## 44 33 22
## 45 0 0
## 46 0 0
## 47 74 0
## 48 78 0
## 49 0 0
## 50 0 0
## 51 80 0
## 52 0 0
## 53 0 0
## 54 25 21
## 55 65 38
## 56 0 0
## 57 0 0
## 58 0 0
## 59 0 0
## 60 0 0
## 61 0 0
## 62 0 0
## 63 0 0
## 64 82 0
## 65 0 94
## 66 0 0
## 67 0 0
## 68 47 0
## 69 0 95
## 70 0 0
## 71 0 0
## 72 0 0
## 73 52 36
## 74 0 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 57 31
## 80 0 97
## 81 0 0
## 82 53 46
## 83 18 0
## 84 33 0
## 85 0 0
## 86 84 0
## 87 0 0
## 88 69 0
## 89 0 0
## 90 95 0
## 91 0 0
## 92 0 98
## 93 42 0
## 94 0 0
## 95 12 0
## 96 0 36
## 97 0 0
## 98 0 0
## 99 0 0
## 100 0 0
## 101 0 0
## 102 0 0
## 103 0 0
## 104 0 97
## 105 0 0
## 106 0 4
## 107 0 0
## 108 0 0
## 109 0 0
## 110 0 0
## 111 0 0
## 112 0 0
## 113 0 0
## 114 0 88
## 115 77 58
## 116 0 0
## 117 0 0
## 118 0 0
## 119 0 0
## 120 0 0
## 121 16 0
## 122 0 0
## 123 0 0
## 124 0 35
## 125 0 0
## 126 0 0
## 127 83 0
## 128 59 0
## 129 44 31
## 130 27 2
## 131 0 0
## 132 0 0
## 133 0 0
## 134 86 0
## 135 32 0
## 136 0 0
## 137 0 0
## 138 51 36
## 139 0 0
## 140 47 29
## 141 70 46
## 142 0 0
## 143 80 0
## 144 82 0
## 145 36 0
## 146 97 0
## 147 0 0
## 148 0 0
## 149 0 99
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 16 0
## 158 63 35
## 159 0 0
## 160 0 0
## 161 0 0
## 162 93 0
## 163 0 93
## 164 75 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 0
## 169 67 0
## 170 0 0
## 171 0 0
## 172 0 0
## 173 0 0
## 174 75 0
## 175 0 0
## 176 0 0
## 177 0 0
## 178 0 0
## 179 0 0
## 180 40 16
## 181 0 0
## 182 0 0
## 183 0 0
## 184 0 0
## 185 0 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 21 0
## 190 0 0
## 191 42 0
## 192 0 0
## 193 0 0
## 194 0 0
## 195 75 59
## 196 0 0
## 197 0 0
## 198 0 0
## 199 0 55
## 200 0 0
## 201 0 0
## 202 0 0
## Primary_End_Proficiency_Math Lower_Secondary_End_Proficiency_Reading
## 1 11 0
## 2 0 48
## 3 0 21
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 56 48
## 9 55 0
## 10 64 80
## 11 0 76
## 12 0 0
## 13 0 0
## 14 0 0
## 15 32 54
## 16 0 0
## 17 0 77
## 18 0 79
## 19 0 0
## 20 11 0
## 21 0 56
## 22 0 0
## 23 0 46
## 24 16 0
## 25 52 50
## 26 0 0
## 27 0 48
## 28 75 53
## 29 22 0
## 30 40 0
## 31 0 0
## 32 0 8
## 33 12 0
## 34 0 86
## 35 0 0
## 36 3 0
## 37 75 68
## 38 0 80
## 39 48 50
## 40 0 0
## 41 6 0
## 42 0 0
## 43 60 58
## 44 3 0
## 45 67 78
## 46 0 0
## 47 0 56
## 48 0 79
## 49 0 0
## 50 0 0
## 51 0 84
## 52 0 0
## 53 0 0
## 54 12 21
## 55 48 49
## 56 0 0
## 57 0 0
## 58 0 0
## 59 0 0
## 60 0 89
## 61 0 0
## 62 0 0
## 63 0 0
## 64 0 86
## 65 58 79
## 66 0 0
## 67 0 0
## 68 0 36
## 69 77 79
## 70 0 0
## 71 0 69
## 72 0 0
## 73 34 30
## 74 0 0
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 32 30
## 80 75 75
## 81 0 74
## 82 44 0
## 83 0 30
## 84 0 0
## 85 0 0
## 86 0 88
## 87 0 69
## 88 0 77
## 89 0 0
## 90 0 83
## 91 0 59
## 92 80 36
## 93 0 0
## 94 0 0
## 95 0 0
## 96 35 0
## 97 0 0
## 98 0 78
## 99 0 32
## 100 0 0
## 101 0 0
## 102 0 0
## 103 0 0
## 104 81 76
## 105 0 71
## 106 5 0
## 107 0 0
## 108 0 54
## 109 0 0
## 110 0 0
## 111 0 64
## 112 0 0
## 113 0 0
## 114 78 0
## 115 69 55
## 116 0 0
## 117 0 0
## 118 0 0
## 119 0 56
## 120 0 0
## 121 0 27
## 122 0 0
## 123 0 0
## 124 6 0
## 125 0 0
## 126 0 0
## 127 0 76
## 128 0 81
## 129 20 0
## 130 1 0
## 131 0 0
## 132 0 0
## 133 0 45
## 134 70 81
## 135 0 0
## 136 0 0
## 137 0 0
## 138 23 36
## 139 0 0
## 140 23 32
## 141 53 46
## 142 0 19
## 143 0 85
## 144 0 80
## 145 0 49
## 146 0 85
## 147 0 57
## 148 0 59
## 149 89 78
## 150 0 0
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 0 0
## 157 0 48
## 158 29 9
## 159 72 62
## 160 0 0
## 161 0 0
## 162 0 89
## 163 65 69
## 164 0 82
## 165 0 0
## 166 0 0
## 167 13 0
## 168 0 0
## 169 0 84
## 170 0 0
## 171 0 0
## 172 0 0
## 173 0 0
## 174 0 82
## 175 0 76
## 176 0 0
## 177 0 0
## 178 0 40
## 179 0 0
## 180 20 0
## 181 0 0
## 182 0 0
## 183 0 58
## 184 0 28
## 185 57 74
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 0
## 190 0 74
## 191 0 57
## 192 0 83
## 193 0 0
## 194 0 81
## 195 68 58
## 196 0 0
## 197 0 0
## 198 0 0
## 199 51 86
## 200 0 0
## 201 0 5
## 202 0 0
## Lower_Secondary_End_Proficiency_Math Youth_15_24_Literacy_Rate_Male
## 1 0 74
## 2 58 99
## 3 19 98
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 31 99
## 9 50 0
## 10 78 0
## 11 79 0
## 12 0 0
## 13 0 0
## 14 39 100
## 15 57 94
## 16 0 0
## 17 71 100
## 18 80 0
## 19 0 0
## 20 0 70
## 21 0 0
## 22 0 0
## 23 42 0
## 24 0 0
## 25 32 99
## 26 0 0
## 27 52 100
## 28 56 0
## 29 0 62
## 30 0 0
## 31 0 0
## 32 10 0
## 33 0 88
## 34 84 0
## 35 0 48
## 36 0 0
## 37 28 0
## 38 79 100
## 39 35 99
## 40 0 78
## 41 0 85
## 42 0 0
## 43 40 99
## 44 0 64
## 45 69 0
## 46 0 0
## 47 63 0
## 48 80 0
## 49 0 0
## 50 0 0
## 51 85 0
## 52 0 0
## 53 0 0
## 54 9 0
## 55 29 0
## 56 21 0
## 57 0 98
## 58 0 0
## 59 0 94
## 60 90 0
## 61 0 94
## 62 0 0
## 63 0 0
## 64 85 0
## 65 79 0
## 66 0 88
## 67 0 0
## 68 39 0
## 69 79 0
## 70 0 93
## 71 64 99
## 72 0 0
## 73 11 0
## 74 0 70
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 15 95
## 80 67 0
## 81 79 0
## 82 0 93
## 83 28 100
## 84 34 0
## 85 0 0
## 86 84 0
## 87 66 0
## 88 62 100
## 89 0 0
## 90 89 0
## 91 41 99
## 92 51 100
## 93 0 88
## 94 0 0
## 95 18 99
## 96 0 100
## 97 0 0
## 98 83 100
## 99 35 100
## 100 0 0
## 101 0 0
## 102 0 0
## 103 0 0
## 104 74 0
## 105 73 0
## 106 0 82
## 107 0 0
## 108 59 97
## 109 0 0
## 110 0 58
## 111 62 99
## 112 0 0
## 113 0 0
## 114 0 99
## 115 44 99
## 116 0 0
## 117 0 0
## 118 0 98
## 119 54 99
## 120 0 0
## 121 14 98
## 122 0 0
## 123 0 0
## 124 0 94
## 125 0 0
## 126 0 94
## 127 84 0
## 128 78 0
## 129 0 0
## 130 0 51
## 131 0 82
## 132 0 0
## 133 39 0
## 134 81 0
## 135 23 98
## 136 0 0
## 137 0 0
## 138 19 99
## 139 0 0
## 140 8 98
## 141 40 99
## 142 19 0
## 143 85 0
## 144 77 100
## 145 36 0
## 146 85 0
## 147 50 0
## 148 53 99
## 149 78 100
## 150 0 84
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 99
## 155 0 100
## 156 0 98
## 157 11 0
## 158 8 0
## 159 60 0
## 160 0 99
## 161 0 71
## 162 94 100
## 163 75 0
## 164 84 0
## 165 0 0
## 166 0 0
## 167 0 0
## 168 0 48
## 169 75 100
## 170 0 99
## 171 0 99
## 172 0 73
## 173 0 99
## 174 81 0
## 175 83 0
## 176 0 0
## 177 0 0
## 178 47 98
## 179 0 82
## 180 0 0
## 181 0 0
## 182 0 99
## 183 48 0
## 184 25 0
## 185 42 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 89
## 190 64 0
## 191 46 0
## 192 81 0
## 193 0 0
## 194 73 0
## 195 49 99
## 196 0 100
## 197 0 96
## 198 0 0
## 199 81 98
## 200 0 0
## 201 2 93
## 202 0 0
## Youth_15_24_Literacy_Rate_Female Birth_Rate
## 1 56 32.49
## 2 100 11.78
## 3 97 24.28
## 4 0 7.20
## 5 0 40.73
## 6 0 0.00
## 7 0 15.33
## 8 100 17.02
## 9 0 13.99
## 10 0 12.60
## 11 0 9.70
## 12 0 14.00
## 13 0 13.97
## 14 99 13.99
## 15 96 18.18
## 16 0 10.65
## 17 100 9.90
## 18 0 10.30
## 19 0 20.79
## 20 52 36.22
## 21 0 17.26
## 22 0 21.75
## 23 0 8.11
## 24 0 24.82
## 25 99 13.92
## 26 0 0.00
## 27 100 14.90
## 28 0 8.90
## 29 55 37.93
## 30 0 39.01
## 31 0 19.49
## 32 0 22.46
## 33 82 35.39
## 34 0 10.10
## 35 29 35.35
## 36 0 42.17
## 37 0 12.43
## 38 100 10.90
## 39 99 14.88
## 40 78 31.88
## 41 79 32.86
## 42 0 0.00
## 43 100 13.97
## 44 53 35.74
## 45 0 9.00
## 46 0 10.17
## 47 0 10.46
## 48 0 10.70
## 49 0 13.89
## 50 0 41.18
## 51 0 10.60
## 52 0 21.47
## 53 0 12.00
## 54 0 19.51
## 55 0 19.72
## 56 0 26.38
## 57 98 18.25
## 58 0 33.24
## 59 93 30.30
## 60 0 10.90
## 61 97 0.00
## 62 0 32.34
## 63 0 21.28
## 64 0 8.60
## 65 0 11.30
## 66 91 31.61
## 67 0 38.54
## 68 0 13.47
## 69 0 9.50
## 70 92 29.41
## 71 99 8.10
## 72 0 16.47
## 73 0 24.56
## 74 43 36.36
## 75 0 35.13
## 76 0 19.97
## 77 0 24.35
## 78 0 0.00
## 79 98 21.60
## 80 0 9.60
## 81 0 12.00
## 82 90 17.86
## 83 100 18.07
## 84 0 18.78
## 85 0 29.08
## 86 0 12.50
## 87 0 20.80
## 88 100 7.30
## 89 0 16.10
## 90 0 7.40
## 91 99 21.98
## 92 100 21.77
## 93 88 28.75
## 94 0 27.89
## 95 100 13.94
## 96 100 27.10
## 97 0 23.55
## 98 100 10.00
## 99 100 17.55
## 100 0 26.81
## 101 0 33.04
## 102 0 18.83
## 103 0 9.90
## 104 0 10.00
## 105 0 10.30
## 106 81 32.66
## 107 0 34.12
## 108 97 16.75
## 109 0 14.20
## 110 43 41.54
## 111 100 9.20
## 112 0 29.03
## 113 0 33.69
## 114 99 10.20
## 115 99 17.60
## 116 0 22.82
## 117 0 5.90
## 118 99 24.13
## 119 99 11.73
## 120 0 0.00
## 121 97 18.94
## 122 0 37.52
## 123 0 17.55
## 124 96 28.64
## 125 0 0.00
## 126 91 19.89
## 127 0 9.70
## 128 0 11.98
## 129 0 20.64
## 130 36 46.08
## 131 68 37.91
## 132 0 0.00
## 133 0 0.00
## 134 0 10.40
## 135 99 19.19
## 136 0 28.25
## 137 0 14.00
## 138 99 18.98
## 139 0 27.07
## 140 99 20.57
## 141 99 17.95
## 142 0 20.55
## 143 0 10.20
## 144 100 8.50
## 145 0 9.54
## 146 0 6.40
## 147 0 10.10
## 148 99 9.60
## 149 100 11.50
## 150 89 31.70
## 151 0 12.60
## 152 0 12.00
## 153 0 14.24
## 154 99 24.38
## 155 100 6.80
## 156 98 31.54
## 157 0 17.80
## 158 0 34.52
## 159 0 9.20
## 160 100 17.10
## 161 63 33.41
## 162 100 8.80
## 163 0 10.60
## 164 0 9.40
## 165 0 32.44
## 166 0 41.75
## 167 0 20.51
## 168 47 35.01
## 169 100 7.90
## 170 99 15.83
## 171 99 0.00
## 172 73 32.18
## 173 98 18.54
## 174 0 11.40
## 175 0 10.00
## 176 0 23.69
## 177 0 30.76
## 178 99 10.34
## 179 85 29.42
## 180 0 33.11
## 181 0 0.00
## 182 100 24.30
## 183 0 12.94
## 184 0 17.56
## 185 0 16.03
## 186 0 23.83
## 187 0 0.00
## 188 0 0.00
## 189 90 38.14
## 190 0 8.70
## 191 0 10.33
## 192 0 11.00
## 193 0 36.70
## 194 0 11.60
## 195 99 13.86
## 196 100 23.30
## 197 97 29.60
## 198 0 17.88
## 199 98 16.75
## 200 0 30.45
## 201 92 36.19
## 202 0 30.68
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## 1 104.0 9.7
## 2 107.0 55.0
## 3 109.9 51.4
## 4 106.4 0.0
## 5 113.5 9.3
## 6 0.0 0.0
## 7 105.0 24.8
## 8 109.7 90.0
## 9 92.7 54.6
## 10 100.3 113.1
## 11 103.1 85.1
## 12 99.7 27.7
## 13 81.4 15.1
## 14 99.4 50.5
## 15 116.5 20.6
## 16 99.4 65.4
## 17 100.5 87.4
## 18 103.9 79.7
## 19 111.7 24.7
## 20 122.0 12.3
## 21 100.1 15.6
## 22 98.2 0.0
## 23 0.0 23.3
## 24 103.2 24.9
## 25 115.4 51.3
## 26 0.0 0.0
## 27 103.2 31.4
## 28 89.3 71.0
## 29 96.1 6.5
## 30 121.4 6.1
## 31 104.0 23.6
## 32 107.4 13.7
## 33 103.4 12.8
## 34 100.9 68.9
## 35 102.0 3.0
## 36 86.8 3.3
## 37 101.4 88.5
## 38 100.2 50.6
## 39 114.5 55.3
## 40 99.5 9.0
## 41 106.6 12.7
## 42 0.0 0.0
## 43 113.3 55.2
## 44 99.8 9.3
## 45 96.5 67.9
## 46 101.9 41.4
## 47 99.3 75.9
## 48 100.7 64.1
## 49 112.8 27.0
## 50 108.0 6.6
## 51 101.3 80.6
## 52 75.3 5.3
## 53 114.7 7.2
## 54 105.7 59.9
## 55 103.3 44.9
## 56 106.3 35.2
## 57 94.8 29.4
## 58 61.8 1.9
## 59 68.4 3.4
## 60 97.2 69.6
## 61 0.0 0.0
## 62 101.0 8.1
## 63 106.4 16.1
## 64 100.2 88.2
## 65 102.5 65.6
## 66 139.9 8.3
## 67 98.0 2.7
## 68 98.6 63.9
## 69 104.0 70.2
## 70 104.8 15.7
## 71 99.6 136.6
## 72 106.9 104.6
## 73 101.9 21.8
## 74 91.5 11.6
## 75 118.7 2.6
## 76 97.8 11.6
## 77 113.6 1.1
## 78 0.0 0.0
## 79 91.5 26.2
## 80 100.8 48.5
## 81 100.4 71.8
## 82 113.0 28.1
## 83 106.4 36.3
## 84 110.7 68.1
## 85 108.7 16.2
## 86 100.9 77.8
## 87 104.9 63.4
## 88 101.9 61.9
## 89 91.0 27.1
## 90 98.8 63.2
## 91 81.5 34.4
## 92 104.4 61.7
## 93 103.2 11.5
## 94 101.3 0.0
## 95 92.4 54.4
## 96 107.6 41.3
## 97 102.4 15.0
## 98 99.4 88.1
## 99 95.1 26.3
## 100 120.9 10.2
## 101 85.1 11.9
## 102 109.0 60.5
## 103 104.7 35.6
## 104 103.9 72.4
## 105 102.3 19.2
## 106 142.5 5.4
## 107 142.5 0.8
## 108 105.3 45.1
## 109 97.1 31.2
## 110 75.6 4.5
## 111 105.0 54.3
## 112 84.7 23.7
## 113 99.9 5.0
## 114 101.1 40.6
## 115 105.8 40.2
## 116 97.2 14.1
## 117 0.0 0.0
## 118 104.0 65.6
## 119 100.0 56.1
## 120 0.0 0.0
## 121 113.9 35.9
## 122 112.6 7.3
## 123 112.3 18.8
## 124 124.2 22.9
## 125 0.0 0.0
## 126 142.1 12.4
## 127 104.2 85.0
## 128 100.0 82.0
## 129 120.6 17.4
## 130 74.7 4.4
## 131 84.7 10.2
## 132 0.0 0.0
## 133 0.0 0.0
## 134 100.3 82.0
## 135 103.4 38.0
## 136 94.3 9.0
## 137 112.6 54.7
## 138 94.4 47.8
## 139 108.5 1.8
## 140 104.4 34.6
## 141 106.9 70.7
## 142 107.5 35.5
## 143 100.0 67.8
## 144 106.2 63.9
## 145 103.8 17.9
## 146 98.1 94.3
## 147 90.6 39.8
## 148 85.2 49.4
## 149 102.6 81.9
## 150 133.0 6.7
## 151 108.7 86.7
## 152 102.6 14.1
## 153 113.4 23.7
## 154 110.5 7.6
## 155 108.1 42.5
## 156 106.8 13.4
## 157 99.8 68.0
## 158 81.0 12.8
## 159 100.3 67.2
## 160 100.4 17.1
## 161 112.8 2.0
## 162 100.6 84.8
## 163 98.7 46.6
## 164 100.4 78.6
## 165 106.2 0.0
## 166 23.4 2.5
## 167 100.9 22.4
## 168 73.0 0.0
## 169 102.7 88.9
## 170 100.2 19.6
## 171 0.0 0.0
## 172 76.8 16.9
## 173 108.8 12.6
## 174 126.6 67.0
## 175 105.2 59.6
## 176 81.7 40.1
## 177 100.9 31.3
## 178 99.8 49.3
## 179 115.3 17.8
## 180 123.8 14.5
## 181 0.0 0.0
## 182 116.3 6.4
## 183 106.2 12.0
## 184 115.4 31.7
## 185 93.2 23.9
## 186 88.4 8.0
## 187 0.0 0.0
## 188 0.0 0.0
## 189 102.7 4.8
## 190 99.0 82.7
## 191 108.4 36.8
## 192 101.2 60.0
## 193 94.2 4.0
## 194 101.8 88.2
## 195 108.5 63.1
## 196 104.2 10.1
## 197 109.3 4.7
## 198 97.2 79.3
## 199 110.6 28.5
## 200 93.6 10.2
## 201 98.7 4.1
## 202 109.9 10.0
## Unemployment_Rate
## 1 11.12
## 2 12.33
## 3 11.70
## 4 0.00
## 5 6.89
## 6 0.00
## 7 0.00
## 8 9.79
## 9 16.99
## 10 5.27
## 11 4.67
## 12 5.51
## 13 10.36
## 14 0.71
## 15 4.19
## 16 10.33
## 17 4.59
## 18 5.59
## 19 6.41
## 20 2.23
## 21 2.34
## 22 3.50
## 23 18.42
## 24 18.19
## 25 12.08
## 26 0.00
## 27 9.12
## 28 4.34
## 29 6.26
## 30 1.43
## 31 12.25
## 32 0.68
## 33 3.38
## 34 5.56
## 35 3.68
## 36 1.89
## 37 7.09
## 38 4.32
## 39 9.71
## 40 4.34
## 41 9.47
## 42 0.00
## 43 11.85
## 44 3.32
## 45 6.93
## 46 1.64
## 47 7.27
## 48 1.93
## 49 2.74
## 50 4.24
## 51 4.91
## 52 10.30
## 53 0.00
## 54 5.84
## 55 3.97
## 56 10.76
## 57 4.11
## 58 6.43
## 59 5.14
## 60 5.11
## 61 0.00
## 62 2.08
## 63 4.10
## 64 6.59
## 65 8.43
## 66 20.00
## 67 9.06
## 68 14.40
## 69 3.04
## 70 4.33
## 71 17.24
## 72 0.00
## 73 2.46
## 74 4.30
## 75 2.47
## 76 11.85
## 77 13.78
## 78 0.00
## 79 5.39
## 80 3.40
## 81 2.84
## 82 5.36
## 83 4.69
## 84 11.38
## 85 12.82
## 86 4.93
## 87 3.86
## 88 9.89
## 89 8.00
## 90 2.29
## 91 14.72
## 92 4.59
## 93 2.64
## 94 0.00
## 95 2.18
## 96 6.33
## 97 0.63
## 98 6.52
## 99 6.23
## 100 23.41
## 101 2.81
## 102 18.56
## 103 0.00
## 104 6.35
## 105 5.36
## 106 1.76
## 107 5.65
## 108 3.32
## 109 6.14
## 110 7.22
## 111 3.47
## 112 0.00
## 113 9.55
## 114 6.67
## 115 3.42
## 116 0.00
## 117 0.00
## 118 6.01
## 119 14.88
## 120 0.00
## 121 9.02
## 122 3.24
## 123 1.58
## 124 20.27
## 125 0.00
## 126 1.41
## 127 3.20
## 128 4.07
## 129 6.84
## 130 0.47
## 131 8.10
## 132 0.00
## 133 0.00
## 134 3.35
## 135 2.67
## 136 4.45
## 137 0.00
## 138 3.90
## 139 2.46
## 140 4.81
## 141 3.31
## 142 2.15
## 143 3.47
## 144 6.33
## 145 0.09
## 146 4.15
## 147 5.47
## 148 3.98
## 149 4.59
## 150 1.03
## 151 0.00
## 152 20.71
## 153 18.88
## 154 8.36
## 155 0.00
## 156 13.37
## 157 5.93
## 158 6.60
## 159 12.69
## 160 0.00
## 161 4.43
## 162 4.11
## 163 5.56
## 164 4.20
## 165 0.58
## 166 11.35
## 167 28.18
## 168 12.24
## 169 13.96
## 170 4.20
## 171 0.00
## 172 16.53
## 173 7.33
## 174 6.48
## 175 4.58
## 176 8.37
## 177 11.02
## 178 0.75
## 179 4.55
## 180 2.04
## 181 0.00
## 182 1.12
## 183 2.69
## 184 16.02
## 185 13.49
## 186 3.91
## 187 0.00
## 188 0.00
## 189 1.84
## 190 8.88
## 191 2.35
## 192 3.85
## 193 1.98
## 194 14.70
## 195 8.73
## 196 5.92
## 197 4.39
## 198 8.80
## 199 2.01
## 200 12.91
## 201 11.43
## 202 4.95##Mengakses Elemen Pada Data
data_mandarel[-(4:29)]## Countries.and.areas Latitude Longitude
## 1 Afghanistan 33.939110 67.709953
## 2 Albania 41.153332 20.168331
## 3 Algeria 28.033886 1.659626
## 4 Andorra 42.506285 1.521801
## 5 Angola 11.202692 17.873887
## 6 Anguilla 18.220554 63.068615
## 7 Antigua and Barbuda 17.060816 61.796428
## 8 Argentina 38.416097 63.616672
## 9 Armenia 40.069099 45.038189
## 10 Australia 25.274398 133.775136
## 11 Austria 47.516231 14.550072
## 12 Azerbaijan 40.143105 47.576927
## 13 The Bahamas 25.034280 77.396280
## 14 Bahrain 26.066700 50.557700
## 15 Bangladesh 23.684994 90.356331
## 16 Barbados 13.193887 59.543198
## 17 Belarus 53.709807 27.953389
## 18 Belgium 50.503887 4.469936
## 19 Belize 17.189877 88.497650
## 20 Benin 9.307690 2.315834
## 21 Bhutan 27.514162 90.433601
## 22 Bolivia 16.290154 63.588653
## 23 Bosnia and Herzegovina 43.915886 17.679076
## 24 Botswana 22.328474 24.684866
## 25 Brazil 14.235004 51.925280
## 26 British Virgin Islands 18.420695 64.639968
## 27 Brunei 4.535277 114.727669
## 28 Bulgaria 42.733883 25.485830
## 29 Burkina Faso 12.238333 1.561593
## 30 Burundi 3.373056 29.918886
## 31 Cape Verde 16.538800 23.041800
## 32 Cambodia 12.565679 104.990963
## 33 Cameroon 7.369722 12.354722
## 34 Canada 56.130366 106.346771
## 35 Central African Republic 6.611111 20.939444
## 36 Chad 15.454166 18.732207
## 37 Chile 35.675147 71.542969
## 38 China 35.861660 104.195397
## 39 Colombia 4.570868 74.297333
## 40 Comoros 11.645500 43.333300
## 41 Republic of the Congo 0.228021 15.827659
## 42 Cook Islands 21.236736 159.777671
## 43 Costa Rica 9.748917 83.753428
## 44 Ivory Coast 7.539989 5.547080
## 45 Croatia 45.100000 15.200000
## 46 Cuba 21.521757 77.781167
## 47 Cyprus 35.126413 33.429859
## 48 Czech Republic 49.817492 15.472962
## 49 North Korea 40.339852 127.510093
## 50 Democratic Republic of the Congo 4.038333 21.758664
## 51 Denmark 56.263920 9.501785
## 52 Djibouti 11.825138 42.590275
## 53 Dominica 15.414999 61.370976
## 54 Dominican Republic 18.735693 70.162651
## 55 Ecuador 1.831239 78.183406
## 56 Egypt 26.820553 30.802498
## 57 El Salvador 13.794185 88.896530
## 58 Equatorial Guinea 1.650801 10.267895
## 59 Eritrea 15.179384 39.782334
## 60 Estonia 58.595272 25.013607
## 61 Eswatini 26.522503 31.465866
## 62 Ethiopia 9.145000 40.489673
## 63 Fiji 17.713371 178.065032
## 64 Finland 61.924110 25.748151
## 65 France 46.227638 2.213749
## 66 Gabon 0.803689 11.609444
## 67 The Gambia 13.443182 15.310139
## 68 Georgia 42.315407 43.356892
## 69 Germany 51.165691 10.451526
## 70 Ghana 7.946527 1.023194
## 71 Greece 39.074208 21.824312
## 72 Grenada 12.116500 61.679000
## 73 Guatemala 15.783471 90.230759
## 74 Guinea 9.945587 9.696645
## 75 Guinea0Bissau 11.803749 15.180413
## 76 Guyana 4.860416 58.930180
## 77 Haiti 18.971187 72.285215
## 78 Vatican City 41.902916 12.453389
## 79 Honduras 15.199999 86.241905
## 80 Hungary 47.162494 19.503304
## 81 Iceland 64.963051 19.020835
## 82 India 20.593684 78.962880
## 83 Indonesia 0.789275 113.921327
## 84 Iran 32.427908 53.688046
## 85 Iraq 33.223191 43.679291
## 86 Republic of Ireland 53.412910 8.243890
## 87 Israel 31.046051 34.851612
## 88 Italy 41.871940 12.567380
## 89 Jamaica 18.109581 77.297508
## 90 Japan 36.204824 138.252924
## 91 Jordan 31.302848 36.786839
## 92 Kazakhstan 48.019573 66.923684
## 93 Kenya 0.023559 37.906193
## 94 Kiribati 1.836898 157.376832
## 95 Kuwait 29.311660 47.481766
## 96 Kyrgyzstan 41.204380 74.766098
## 97 Laos 19.856270 102.495496
## 98 Latvia 56.879635 24.603189
## 99 Lebanon 33.854721 35.862285
## 100 Lesotho 29.609988 28.233608
## 101 Liberia 6.428055 9.429499
## 102 Libya 26.335100 17.228331
## 103 Liechtenstein 47.141039 9.520935
## 104 Lithuania 55.169438 23.881275
## 105 Luxembourg 49.815273 6.129583
## 106 Madagascar 18.766947 46.869107
## 107 Malawi 13.254308 34.301525
## 108 Malaysia 4.210484 101.975766
## 109 Maldives 3.202778 73.220680
## 110 Mali 17.570692 3.996166
## 111 Malta 35.937496 14.375416
## 112 Marshall Islands 7.131474 171.184478
## 113 Mauritania 21.007890 10.940835
## 114 Mauritius 20.348404 57.552152
## 115 Mexico 23.634501 102.552784
## 116 Federated States of Micronesia 7.425554 150.550812
## 117 Monaco 43.738418 7.424616
## 118 Mongolia 46.862496 103.846656
## 119 Montenegro 42.708678 19.374390
## 120 Montserrat 16.742498 62.187366
## 121 Morocco 31.791702 7.092620
## 122 Mozambique 18.665695 35.529562
## 123 Myanmar 21.916221 95.955974
## 124 Namibia 22.957640 18.490410
## 125 Nauru 0.522778 166.931503
## 126 Nepal 28.394857 84.124008
## 127 Netherlands 52.132633 5.291266
## 128 New Zealand 40.900557 174.885971
## 129 Nicaragua 12.865416 85.207229
## 130 Niger 17.607789 8.081666
## 131 Nigeria 9.081999 8.675277
## 132 Niue 19.054445 169.867233
## 133 North Macedonia 41.608635 21.745275
## 134 Norway 60.472024 8.468946
## 135 Oman 21.473533 55.975413
## 136 Pakistan 30.375321 69.345116
## 137 Palau 7.514980 134.582520
## 138 Panama 8.537981 80.782127
## 139 Papua New Guinea 6.314993 143.955550
## 140 Paraguay 23.442503 58.443832
## 141 Peru 9.189967 75.015152
## 142 Philippines 12.879721 121.774017
## 143 Poland 51.919438 19.145136
## 144 Portugal 39.399872 8.224454
## 145 Qatar 25.354826 51.183884
## 146 South Korea 35.907757 127.766922
## 147 Moldova 47.411631 28.369885
## 148 Romania 45.943161 24.966760
## 149 Russia 61.524010 105.318756
## 150 Rwanda 1.940278 29.873888
## 151 Saint Kitts and Nevis 17.357822 62.782998
## 152 Saint Lucia 13.909444 60.978893
## 153 Saint Vincent and the Grenadines 12.984305 61.287228
## 154 Samoa 13.759029 172.104629
## 155 San Marino 43.942360 12.457777
## 156 S�������\xef\xbf 0.186360 6.613081
## 157 Saudi Arabia 23.885942 45.079162
## 158 Senegal 14.497401 14.452362
## 159 Serbia 44.016521 21.005859
## 160 Seychelles 4.679574 55.491977
## 161 Sierra Leone 8.460555 11.779889
## 162 Singapore 1.352083 103.819836
## 163 Slovakia 48.669026 19.699024
## 164 Slovenia 46.151241 14.995463
## 165 Solomon Islands 9.645710 160.156194
## 166 Somalia 5.152149 46.199616
## 167 South Africa 30.559482 22.937506
## 168 South Sudan 6.876992 31.306979
## 169 Spain 40.463667 3.749220
## 170 Sri Lanka 7.873054 80.771797
## 171 Palestinian National Authority 31.952162 35.233154
## 172 Sudan 12.862807 30.217636
## 173 Suriname 3.919305 56.027783
## 174 Sweden 60.128161 18.643501
## 175 Switzerland 46.818188 8.227512
## 176 Syria 34.802075 38.996815
## 177 Tajikistan 38.861034 71.276093
## 178 Thailand 15.870032 100.992541
## 179 East Timor 8.874217 125.727539
## 180 Togo 8.619543 0.824782
## 181 Tokelau 9.200200 171.848400
## 182 Tonga 21.178986 175.198242
## 183 Trinidad and Tobago 10.691803 61.222503
## 184 Tunisia 33.886917 9.537499
## 185 Turkey 38.963745 35.243322
## 186 Turkmenistan 38.969719 59.556278
## 187 Turks and Caicos Islands 21.694025 71.797928
## 188 Tuvalu 7.109535 177.649330
## 189 Uganda 1.373333 32.290275
## 190 Ukraine 48.379433 31.165580
## 191 United Arab Emirates 23.424076 53.847818
## 192 United Kingdom 55.378051 3.435973
## 193 Tanzania 6.369028 34.888822
## 194 United States 37.090240 95.712891
## 195 Uruguay 32.522779 55.765835
## 196 Uzbekistan 41.377491 64.585262
## 197 Vanuatu 15.376706 166.959158
## 198 Venezuela 6.423750 66.589730
## 199 Vietnam 14.058324 108.277199
## 200 Yemen 15.552727 48.516388
## 201 Zambia 13.133897 27.849332
## 202 Zimbabwe 19.015438 29.154857##Membuat Plot
library(viridisLite)GambarBoxplot <- data_mandarel[,c("Birth_Rate", "Gross_Primary_Education_Enrollment", "Gross_Tertiary_Education_Enrollment", "Unemployment_Rate")]
boxplot(GambarBoxplot, main="Plot Boxplot tingkat pengangguran", col= "blue")
Grafik tersebut terdiri dari 4 data yaitu birth rate, Gross Primary Education Enrollment, Gross Tertiary Education Enrollment, Unemployment Rate. Dimana dari grafik boxplot tersebut dapat terlihat bahwa boxplot birth rate ragamnya keci tetapi sebaran datanya hampir ditengah. Boxplot Gross Primary Education Enrollment ragamnya kecil kemudian sebaran datanya cenderung keatas dan terdapat banyak pencilan. Boxplot Gross tertiary Education Enrollment ragamnya besar kemudian sebaran datanya cenderung kebawah dan terdapat beberapa pencilan. Terakhir boxplot Unemployment Rate ragamnya kecil dan sebaran datanya cenderung kebawah kemudian terdapat beberapa pencilan.
library(viridisLite)GambarBoxplot <- data_mandarel[,c("Completion_Rate_Lower_Secondary_Male", "Completion_Rate_Lower_Secondary_Female", "Completion_Rate_Upper_Secondary_Male", "Completion_Rate_Upper_Secondary_Female")]
boxplot(GambarBoxplot, main="Plot Boxplot Tingkat Penyelesaian Sekolah", col="yellow")
Grafik tersebut terdiri dari 4 data yaitu Completion Rate Lower Secondary Male, Completion Rate Lower Secondary Female, Completion Rate Upper Secondary Male, Completion Rate Upper Secondary Female. Dimana dari grafik tersebut dapat terlihat boxplot Completion Rate Lower Secondary Male keragamanya besar dan sebaran datanya cenderung ke bawah. Boxplot Completion Rate Lower Secondary Female keragamannya besar dan sebaran datanya cenderung ke bawah. Boxplot Completion Rate Upper Secondary Male keragamannya besar dan sebaran datanya cenderung kebawah. Boxplot Completion Rate Upper Secondary Female keragamannya besar dan sebaran datanya cenderung kebawah dan juga terdapat pencilan.
##Menhitung Korelasi
dm <- data_mandarel
cor(dm$Birth_Rate, dm$Unemployment_Rate)## [1] 0.1431301Nilai korelasi antara tingkat kelahiran dan tingkat pengangguran tidak mendekati 1 yaitu sebesar 0,1431301 menunjukkan adanya korelasi positif yang lemah antara kedua variabel tersebut. Korelasi positif menunjukkan bahwa ketika tingkat kelahiran meningkat, kemungkinan tingkat pengangguran juga akan meningkat, dan sebaliknya.
dm <- data_mandarel
cor(dm$Gross_Primary_Education_Enrollment, dm$Gross_Tertiary_Education_Enrollment)## [1] 0.283959Nilai korelasi antara Pendaftaran Bruto Pendidikan Dasar dan Pendaftaran Pendidikan Tinggi Bruto tidak mendekati 1 yaitu sebesar 0,1431301 menunjukkan adanya korelasi positif yang lemah antara kedua variabel tersebut. Korelasi positif menunjukkan bahwa ketika Pendaftaran Bruto Pendidikan Dasar meningkat, kemungkinan Pendaftaran Pendidikan Tinggi Bruto juga akan meningkat, dan sebaliknya.
dm <- data_mandarel
cor(dm$Completion_Rate_Lower_Secondary_Male, dm$Completion_Rate_Upper_Secondary_Male)## [1] 0.9509245Nilai korelasi antara Completion Rate Lower Secondary Male dan Upper Secondary Male mendekati 1 yaitu sebesar 0,9509245 menunjukkan adanya korelasi positif yang sangat kuat antara kedua variabel tersebut. Dengan kata lain, ketika tingkat kelulusan sekolah menengah rendah pada siswa laki-laki meningkat, cenderung juga meningkat tingkat kelulusan pada pendidikan menengah atas pada siswa laki-laki, dan sebaliknya.
dm <- data_mandarel
cor(dm$Completion_Rate_Lower_Secondary_Female, dm$Completion_Rate_Upper_Secondary_Female)## [1] 0.9503364Nilai korelasi antara Completion Rate Lower Secondary female dan Upper Secondary female mendekati 1 yaitu sebesar 0,9509245 menunjukkan adanya korelasi positif yang sangat kuat antara kedua variabel tersebut. Dengan kata lain, ketika tingkat kelulusan sekolah menengah rendah pada siswa perempuan meningkat, cenderung juga meningkat tingkat kelulusan pada pendidikan menengah atas pada siswa perempuan, dan sebaliknya.
##Rata-Rata Data
mean(data_mandarel$Unemployment_Rate)## [1] 6Rata-rata tingkat pengangguran dari 10 negara yang terdapat pada data yaitu sebesar 6.