KUIS MANDAREL
INPUT DATA
dataglobaleducation <- read.csv ("C:/Users/Admin/Downloads/Global_Education.csv", header= TRUE, sep= ",")
dataglobaleducation## 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#Melihat data dataglobaleducation View(dataglobaleducation)
Ambil beberapa peubah yang ingin dianalisis
Datafilter <- dataglobaleducation [, c("Countries.and.areas","OOSR_Primary_Age_Male", "OOSR_Primary_Age_Female","Completion_Rate_Primary_Male", "Completion_Rate_Primary_Female", "Completion_Rate_Lower_Secondary_Male", "Completion_Rate_Lower_Secondary_Female", "Completion_Rate_Upper_Secondary_Male", "Completion_Rate_Upper_Secondary_Female", "Primary_End_Proficiency_Reading", "Primary_End_Proficiency_Math", "Youth_15_24_Literacy_Rate_Male", "Youth_15_24_Literacy_Rate_Female", "Birth_Rate", "Gross_Primary_Education_Enrollment", "Gross_Tertiary_Education_Enrollment", "Unemployment_Rate")]
Datafilter## Countries.and.areas OOSR_Primary_Age_Male
## 1 Afghanistan 0
## 2 Albania 6
## 3 Algeria 0
## 4 Andorra 0
## 5 Angola 0
## 6 Anguilla 0
## 7 Antigua and Barbuda 4
## 8 Argentina 0
## 9 Armenia 9
## 10 Australia 0
## 11 Austria 0
## 12 Azerbaijan 10
## 13 The Bahamas 0
## 14 Bahrain 2
## 15 Bangladesh 0
## 16 Barbados 1
## 17 Belarus 1
## 18 Belgium 1
## 19 Belize 1
## 20 Benin 3
## 21 Bhutan 5
## 22 Bolivia 5
## 23 Bosnia and Herzegovina 0
## 24 Botswana 12
## 25 Brazil 1
## 26 British Virgin Islands 4
## 27 Brunei 0
## 28 Bulgaria 13
## 29 Burkina Faso 21
## 30 Burundi 9
## 31 Cape Verde 6
## 32 Cambodia 9
## 33 Cameroon 4
## 34 Canada 0
## 35 Central African Republic 0
## 36 Chad 17
## 37 Chile 1
## 38 China 0
## 39 Colombia 3
## 40 Comoros 18
## 41 Republic of the Congo 15
## 42 Cook Islands 2
## 43 Costa Rica 3
## 44 Ivory Coast 2
## 45 Croatia 0
## 46 Cuba 1
## 47 Cyprus 0
## 48 Czech Republic 1
## 49 North Korea 0
## 50 Democratic Republic of the Congo 0
## 51 Denmark 1
## 52 Djibouti 32
## 53 Dominica 4
## 54 Dominican Republic 4
## 55 Ecuador 0
## 56 Egypt 0
## 57 El Salvador 14
## 58 Equatorial Guinea 56
## 59 Eritrea 45
## 60 Estonia 2
## 61 Eswatini 15
## 62 Ethiopia 11
## 63 Fiji 1
## 64 Finland 1
## 65 France 0
## 66 Gabon 0
## 67 The Gambia 19
## 68 Georgia 2
## 69 Germany 1
## 70 Ghana 1
## 71 Greece 2
## 72 Grenada 0
## 73 Guatemala 11
## 74 Guinea 15
## 75 Guinea0Bissau 0
## 76 Guyana 0
## 77 Haiti 0
## 78 Vatican City 0
## 79 Honduras 11
## 80 Hungary 4
## 81 Iceland 0
## 82 India 3
## 83 Indonesia 3
## 84 Iran 0
## 85 Iraq 0
## 86 Republic of Ireland 0
## 87 Israel 0
## 88 Italy 3
## 89 Jamaica 0
## 90 Japan 0
## 91 Jordan 18
## 92 Kazakhstan 10
## 93 Kenya 0
## 94 Kiribati 0
## 95 Kuwait 4
## 96 Kyrgyzstan 0
## 97 Laos 8
## 98 Latvia 2
## 99 Lebanon 0
## 100 Lesotho 3
## 101 Liberia 22
## 102 Libya 0
## 103 Liechtenstein 3
## 104 Lithuania 0
## 105 Luxembourg 1
## 106 Madagascar 0
## 107 Malawi 0
## 108 Malaysia 0
## 109 Maldives 3
## 110 Mali 38
## 111 Malta 0
## 112 Marshall Islands 25
## 113 Mauritania 25
## 114 Mauritius 3
## 115 Mexico 0
## 116 Federated States of Micronesia 9
## 117 Monaco 0
## 118 Mongolia 2
## 119 Montenegro 3
## 120 Montserrat 15
## 121 Morocco 2
## 122 Mozambique 1
## 123 Myanmar 0
## 124 Namibia 0
## 125 Nauru 0
## 126 Nepal 0
## 127 Netherlands 1
## 128 New Zealand 1
## 129 Nicaragua 0
## 130 Niger 37
## 131 Nigeria 0
## 132 Niue 0
## 133 North Macedonia 1
## 134 Norway 0
## 135 Oman 0
## 136 Pakistan 0
## 137 Palau 0
## 138 Panama 13
## 139 Papua New Guinea 4
## 140 Paraguay 0
## 141 Peru 0
## 142 Philippines 3
## 143 Poland 2
## 144 Portugal 0
## 145 Qatar 3
## 146 South Korea 1
## 147 Moldova 9
## 148 Romania 12
## 149 Russia 1
## 150 Rwanda 6
## 151 Saint Kitts and Nevis 0
## 152 Saint Lucia 3
## 153 Saint Vincent and the Grenadines 0
## 154 Samoa 0
## 155 San Marino 0
## 156 S�������\xef\xbf 6
## 157 Saudi Arabia 1
## 158 Senegal 30
## 159 Serbia 2
## 160 Seychelles 0
## 161 Sierra Leone 2
## 162 Singapore 0
## 163 Slovakia 5
## 164 Slovenia 1
## 165 Solomon Islands 9
## 166 Somalia 0
## 167 South Africa 12
## 168 South Sudan 58
## 169 Spain 3
## 170 Sri Lanka 2
## 171 Palestinian National Authority 3
## 172 Sudan 31
## 173 Suriname 14
## 174 Sweden 0
## 175 Switzerland 0
## 176 Syria 27
## 177 Tajikistan 1
## 178 Thailand 0
## 179 East Timor 7
## 180 Togo 2
## 181 Tokelau 0
## 182 Tonga 0
## 183 Trinidad and Tobago 0
## 184 Tunisia 0
## 185 Turkey 5
## 186 Turkmenistan 0
## 187 Turks and Caicos Islands 0
## 188 Tuvalu 13
## 189 Uganda 6
## 190 Ukraine 9
## 191 United Arab Emirates 8
## 192 United Kingdom 1
## 193 Tanzania 15
## 194 United States 1
## 195 Uruguay 3
## 196 Uzbekistan 0
## 197 Vanuatu 8
## 198 Venezuela 10
## 199 Vietnam 0
## 200 Yemen 10
## 201 Zambia 17
## 202 Zimbabwe 0
## OOSR_Primary_Age_Female Completion_Rate_Primary_Male
## 1 0 67
## 2 3 94
## 3 0 93
## 4 0 0
## 5 0 63
## 6 0 0
## 7 1 0
## 8 0 91
## 9 9 99
## 10 0 0
## 11 0 0
## 12 7 0
## 13 0 0
## 14 3 0
## 15 0 76
## 16 2 99
## 17 2 100
## 18 0 0
## 19 1 95
## 20 10 51
## 21 2 67
## 22 5 0
## 23 0 99
## 24 10 95
## 25 1 95
## 26 3 0
## 27 0 0
## 28 13 0
## 29 22 32
## 30 6 46
## 31 7 0
## 32 9 68
## 33 13 75
## 34 0 0
## 35 0 54
## 36 35 31
## 37 2 96
## 38 0 97
## 39 2 91
## 40 18 75
## 41 16 78
## 42 2 0
## 43 3 98
## 44 8 60
## 45 0 0
## 46 1 100
## 47 1 0
## 48 0 0
## 49 0 100
## 50 0 67
## 51 0 0
## 52 35 0
## 53 3 0
## 54 4 88
## 55 0 98
## 56 0 91
## 57 13 84
## 58 55 0
## 59 50 0
## 60 2 0
## 61 17 64
## 62 18 47
## 63 1 0
## 64 1 0
## 65 0 0
## 66 0 66
## 67 10 64
## 68 2 100
## 69 0 0
## 70 0 69
## 71 1 0
## 72 0 0
## 73 10 80
## 74 29 52
## 75 0 29
## 76 0 96
## 77 0 49
## 78 0 0
## 79 14 81
## 80 5 0
## 81 1 0
## 82 1 92
## 83 8 91
## 84 0 0
## 85 0 78
## 86 0 0
## 87 0 0
## 88 3 0
## 89 0 99
## 90 0 0
## 91 19 96
## 92 9 100
## 93 0 77
## 94 0 92
## 95 1 0
## 96 0 99
## 97 9 84
## 98 1 0
## 99 0 0
## 100 2 69
## 101 21 36
## 102 0 0
## 103 2 0
## 104 0 0
## 105 1 0
## 106 0 52
## 107 0 43
## 108 0 0
## 109 1 0
## 110 44 50
## 111 0 0
## 112 27 0
## 113 21 68
## 114 1 0
## 115 0 98
## 116 11 0
## 117 0 0
## 118 3 96
## 119 3 95
## 120 15 0
## 121 3 0
## 122 4 44
## 123 0 82
## 124 0 75
## 125 0 0
## 126 0 81
## 127 1 0
## 128 1 0
## 129 0 0
## 130 45 35
## 131 0 71
## 132 0 0
## 133 1 97
## 134 0 0
## 135 0 0
## 136 0 64
## 137 0 0
## 138 14 95
## 139 10 0
## 140 0 93
## 141 0 95
## 142 3 89
## 143 2 0
## 144 1 0
## 145 0 0
## 146 1 0
## 147 11 99
## 148 13 0
## 149 0 0
## 150 6 48
## 151 0 0
## 152 0 99
## 153 0 0
## 154 0 0
## 155 0 0
## 156 6 79
## 157 3 0
## 158 21 44
## 159 2 99
## 160 0 0
## 161 2 63
## 162 0 0
## 163 4 0
## 164 0 0
## 165 4 0
## 166 0 0
## 167 10 95
## 168 67 31
## 169 3 0
## 170 3 99
## 171 3 99
## 172 35 66
## 173 11 80
## 174 0 0
## 175 0 0
## 176 28 0
## 177 2 99
## 178 0 98
## 179 3 77
## 180 4 83
## 181 0 0
## 182 0 98
## 183 0 0
## 184 0 94
## 185 5 99
## 186 0 100
## 187 0 0
## 188 17 0
## 189 3 39
## 190 7 100
## 191 5 0
## 192 1 0
## 193 12 75
## 194 1 0
## 195 3 96
## 196 2 0
## 197 7 0
## 198 10 0
## 199 0 96
## 200 21 70
## 201 13 71
## 202 0 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 Primary_End_Proficiency_Reading
## 1 14 13
## 2 80 0
## 3 37 0
## 4 0 0
## 5 15 0
## 6 0 0
## 7 0 0
## 8 53 46
## 9 79 0
## 10 0 0
## 11 0 98
## 12 0 81
## 13 0 0
## 14 0 0
## 15 27 44
## 16 97 0
## 17 94 0
## 18 0 0
## 19 51 0
## 20 5 23
## 21 18 0
## 22 0 0
## 23 92 0
## 24 66 0
## 25 75 53
## 26 0 0
## 27 0 0
## 28 0 95
## 29 2 21
## 30 3 7
## 31 0 0
## 32 20 50
## 33 21 24
## 34 0 0
## 35 6 0
## 36 6 3
## 37 88 70
## 38 67 0
## 39 78 55
## 40 32 0
## 41 19 17
## 42 0 0
## 43 60 68
## 44 15 22
## 45 0 0
## 46 86 0
## 47 0 0
## 48 0 0
## 49 100 0
## 50 27 0
## 51 0 0
## 52 0 0
## 53 0 0
## 54 66 21
## 55 79 38
## 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 0
## 65 0 94
## 66 14 0
## 67 28 0
## 68 83 0
## 69 0 95
## 70 9 0
## 71 0 0
## 72 0 0
## 73 25 36
## 74 13 0
## 75 8 0
## 76 64 0
## 77 16 0
## 78 0 0
## 79 35 31
## 80 0 97
## 81 0 0
## 82 40 46
## 83 37 0
## 84 0 0
## 85 43 0
## 86 0 0
## 87 0 0
## 88 0 0
## 89 83 0
## 90 0 0
## 91 63 0
## 92 96 98
## 93 38 0
## 94 20 0
## 95 0 0
## 96 85 36
## 97 31 0
## 98 0 0
## 99 0 0
## 100 37 0
## 101 9 0
## 102 0 0
## 103 0 0
## 104 0 97
## 105 0 0
## 106 15 4
## 107 13 0
## 108 0 0
## 109 0 0
## 110 12 0
## 111 0 0
## 112 0 0
## 113 23 0
## 114 0 88
## 115 60 58
## 116 0 0
## 117 0 0
## 118 73 0
## 119 90 0
## 120 0 0
## 121 0 0
## 122 5 0
## 123 19 0
## 124 39 35
## 125 0 0
## 126 28 0
## 127 0 0
## 128 0 0
## 129 0 31
## 130 1 2
## 131 44 0
## 132 0 0
## 133 79 0
## 134 0 0
## 135 0 0
## 136 23 0
## 137 0 0
## 138 68 36
## 139 0 0
## 140 67 29
## 141 72 46
## 142 83 0
## 143 0 0
## 144 0 0
## 145 0 0
## 146 0 0
## 147 71 0
## 148 0 0
## 149 0 99
## 150 16 0
## 151 0 0
## 152 90 0
## 153 0 0
## 154 0 0
## 155 0 0
## 156 8 0
## 157 0 0
## 158 10 35
## 159 81 0
## 160 0 0
## 161 18 0
## 162 0 0
## 163 0 93
## 164 0 0
## 165 0 0
## 166 0 0
## 167 52 0
## 168 4 0
## 169 0 0
## 170 43 0
## 171 73 0
## 172 28 0
## 173 26 0
## 174 0 0
## 175 0 0
## 176 0 0
## 177 63 0
## 178 72 0
## 179 55 0
## 180 12 16
## 181 0 0
## 182 56 0
## 183 0 0
## 184 57 0
## 185 44 0
## 186 95 0
## 187 0 0
## 188 0 0
## 189 15 0
## 190 97 0
## 191 0 0
## 192 0 0
## 193 27 0
## 194 0 0
## 195 29 59
## 196 0 0
## 197 0 0
## 198 0 0
## 199 61 55
## 200 23 0
## 201 27 0
## 202 14 0
## Primary_End_Proficiency_Math Youth_15_24_Literacy_Rate_Male
## 1 11 74
## 2 0 99
## 3 0 98
## 4 0 0
## 5 0 0
## 6 0 0
## 7 0 0
## 8 56 99
## 9 55 0
## 10 64 0
## 11 0 0
## 12 0 0
## 13 0 0
## 14 0 100
## 15 32 94
## 16 0 0
## 17 0 100
## 18 0 0
## 19 0 0
## 20 11 70
## 21 0 0
## 22 0 0
## 23 0 0
## 24 16 0
## 25 52 99
## 26 0 0
## 27 0 100
## 28 75 0
## 29 22 62
## 30 40 0
## 31 0 0
## 32 0 0
## 33 12 88
## 34 0 0
## 35 0 48
## 36 3 0
## 37 75 0
## 38 0 100
## 39 48 99
## 40 0 78
## 41 6 85
## 42 0 0
## 43 60 99
## 44 3 64
## 45 67 0
## 46 0 0
## 47 0 0
## 48 0 0
## 49 0 0
## 50 0 0
## 51 0 0
## 52 0 0
## 53 0 0
## 54 12 0
## 55 48 0
## 56 0 0
## 57 0 98
## 58 0 0
## 59 0 94
## 60 0 0
## 61 0 94
## 62 0 0
## 63 0 0
## 64 0 0
## 65 58 0
## 66 0 88
## 67 0 0
## 68 0 0
## 69 77 0
## 70 0 93
## 71 0 99
## 72 0 0
## 73 34 0
## 74 0 70
## 75 0 0
## 76 0 0
## 77 0 0
## 78 0 0
## 79 32 95
## 80 75 0
## 81 0 0
## 82 44 93
## 83 0 100
## 84 0 0
## 85 0 0
## 86 0 0
## 87 0 0
## 88 0 100
## 89 0 0
## 90 0 0
## 91 0 99
## 92 80 100
## 93 0 88
## 94 0 0
## 95 0 99
## 96 35 100
## 97 0 0
## 98 0 100
## 99 0 100
## 100 0 0
## 101 0 0
## 102 0 0
## 103 0 0
## 104 81 0
## 105 0 0
## 106 5 82
## 107 0 0
## 108 0 97
## 109 0 0
## 110 0 58
## 111 0 99
## 112 0 0
## 113 0 0
## 114 78 99
## 115 69 99
## 116 0 0
## 117 0 0
## 118 0 98
## 119 0 99
## 120 0 0
## 121 0 98
## 122 0 0
## 123 0 0
## 124 6 94
## 125 0 0
## 126 0 94
## 127 0 0
## 128 0 0
## 129 20 0
## 130 1 51
## 131 0 82
## 132 0 0
## 133 0 0
## 134 70 0
## 135 0 98
## 136 0 0
## 137 0 0
## 138 23 99
## 139 0 0
## 140 23 98
## 141 53 99
## 142 0 0
## 143 0 0
## 144 0 100
## 145 0 0
## 146 0 0
## 147 0 0
## 148 0 99
## 149 89 100
## 150 0 84
## 151 0 0
## 152 0 0
## 153 0 0
## 154 0 99
## 155 0 100
## 156 0 98
## 157 0 0
## 158 29 0
## 159 72 0
## 160 0 99
## 161 0 71
## 162 0 100
## 163 65 0
## 164 0 0
## 165 0 0
## 166 0 0
## 167 13 0
## 168 0 48
## 169 0 100
## 170 0 99
## 171 0 99
## 172 0 73
## 173 0 99
## 174 0 0
## 175 0 0
## 176 0 0
## 177 0 0
## 178 0 98
## 179 0 82
## 180 20 0
## 181 0 0
## 182 0 99
## 183 0 0
## 184 0 0
## 185 57 0
## 186 0 0
## 187 0 0
## 188 0 0
## 189 0 89
## 190 0 0
## 191 0 0
## 192 0 0
## 193 0 0
## 194 0 0
## 195 68 99
## 196 0 100
## 197 0 96
## 198 0 0
## 199 51 98
## 200 0 0
## 201 0 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 4.95Mengurutkan datafilter berdasarkan Unemployment_Rate
datafilter_sorted <- Datafilter[order(Datafilter$Unemployment_Rate, decreasing=TRUE), ]
print(datafilter_sorted)## Countries.and.areas OOSR_Primary_Age_Male
## 167 South Africa 12
## 100 Lesotho 3
## 152 Saint Lucia 3
## 124 Namibia 0
## 66 Gabon 0
## 153 Saint Vincent and the Grenadines 0
## 102 Libya 0
## 23 Bosnia and Herzegovina 0
## 24 Botswana 12
## 71 Greece 2
## 9 Armenia 9
## 172 Sudan 31
## 184 Tunisia 0
## 119 Montenegro 3
## 91 Jordan 18
## 194 United States 1
## 68 Georgia 2
## 169 Spain 3
## 77 Haiti 0
## 185 Turkey 5
## 156 S�������\xef\xbf 6
## 200 Yemen 10
## 85 Iraq 0
## 159 Serbia 2
## 2 Albania 6
## 31 Cape Verde 6
## 168 South Sudan 58
## 25 Brazil 1
## 43 Costa Rica 3
## 76 Guyana 0
## 3 Algeria 0
## 201 Zambia 17
## 84 Iran 0
## 166 Somalia 0
## 1 Afghanistan 0
## 177 Tajikistan 1
## 56 Egypt 0
## 13 The Bahamas 0
## 16 Barbados 1
## 52 Djibouti 32
## 88 Italy 3
## 8 Argentina 0
## 39 Colombia 3
## 113 Mauritania 25
## 41 Republic of the Congo 15
## 27 Brunei 0
## 67 The Gambia 19
## 121 Morocco 2
## 190 Ukraine 9
## 198 Venezuela 10
## 195 Uruguay 3
## 65 France 0
## 176 Syria 27
## 154 Samoa 0
## 131 Nigeria 0
## 89 Jamaica 0
## 173 Suriname 14
## 47 Cyprus 0
## 110 Mali 38
## 37 Chile 1
## 45 Croatia 0
## 5 Angola 0
## 129 Nicaragua 0
## 114 Mauritius 3
## 158 Senegal 30
## 64 Finland 1
## 98 Latvia 2
## 174 Sweden 0
## 58 Equatorial Guinea 56
## 19 Belize 1
## 104 Lithuania 0
## 96 Kyrgyzstan 0
## 144 Portugal 0
## 29 Burkina Faso 21
## 99 Lebanon 0
## 109 Maldives 3
## 118 Mongolia 2
## 157 Saudi Arabia 1
## 196 Uzbekistan 0
## 54 Dominican Republic 4
## 107 Malawi 0
## 18 Belgium 1
## 34 Canada 0
## 163 Slovakia 5
## 12 Azerbaijan 10
## 147 Moldova 9
## 79 Honduras 11
## 82 India 3
## 105 Luxembourg 1
## 10 Australia 0
## 59 Eritrea 45
## 60 Estonia 2
## 202 Zimbabwe 0
## 86 Republic of Ireland 0
## 51 Denmark 1
## 140 Paraguay 0
## 83 Indonesia 3
## 11 Austria 0
## 17 Belarus 1
## 92 Kazakhstan 10
## 149 Russia 1
## 175 Switzerland 0
## 179 East Timor 7
## 136 Pakistan 0
## 161 Sierra Leone 2
## 197 Vanuatu 8
## 28 Bulgaria 13
## 40 Comoros 18
## 70 Ghana 1
## 38 China 0
## 74 Guinea 15
## 50 Democratic Republic of the Congo 0
## 164 Slovenia 1
## 170 Sri Lanka 2
## 15 Bangladesh 0
## 146 South Korea 1
## 57 El Salvador 14
## 162 Singapore 0
## 63 Fiji 1
## 128 New Zealand 1
## 148 Romania 12
## 55 Ecuador 0
## 186 Turkmenistan 0
## 138 Panama 13
## 87 Israel 0
## 192 United Kingdom 1
## 35 Central African Republic 0
## 22 Bolivia 5
## 111 Malta 0
## 143 Poland 2
## 115 Mexico 0
## 80 Hungary 4
## 33 Cameroon 4
## 134 Norway 0
## 44 Ivory Coast 2
## 108 Malaysia 0
## 141 Peru 0
## 122 Mozambique 1
## 127 Netherlands 1
## 69 Germany 1
## 81 Iceland 0
## 101 Liberia 22
## 49 North Korea 0
## 183 Trinidad and Tobago 0
## 135 Oman 0
## 93 Kenya 0
## 75 Guinea0Bissau 0
## 73 Guatemala 11
## 139 Papua New Guinea 4
## 191 United Arab Emirates 8
## 21 Bhutan 5
## 90 Japan 0
## 20 Benin 3
## 95 Kuwait 4
## 142 Philippines 3
## 62 Ethiopia 11
## 180 Togo 2
## 199 Vietnam 0
## 193 Tanzania 15
## 48 Czech Republic 1
## 36 Chad 17
## 189 Uganda 6
## 106 Madagascar 0
## 46 Cuba 1
## 123 Myanmar 0
## 30 Burundi 9
## 126 Nepal 0
## 182 Tonga 0
## 150 Rwanda 6
## 178 Thailand 0
## 14 Bahrain 2
## 32 Cambodia 9
## 97 Laos 8
## 165 Solomon Islands 9
## 130 Niger 37
## 145 Qatar 3
## 4 Andorra 0
## 6 Anguilla 0
## 7 Antigua and Barbuda 4
## 26 British Virgin Islands 4
## 42 Cook Islands 2
## 53 Dominica 4
## 61 Eswatini 15
## 72 Grenada 0
## 78 Vatican City 0
## 94 Kiribati 0
## 103 Liechtenstein 3
## 112 Marshall Islands 25
## 116 Federated States of Micronesia 9
## 117 Monaco 0
## 120 Montserrat 15
## 125 Nauru 0
## 132 Niue 0
## 133 North Macedonia 1
## 137 Palau 0
## 151 Saint Kitts and Nevis 0
## 155 San Marino 0
## 160 Seychelles 0
## 171 Palestinian National Authority 3
## 181 Tokelau 0
## 187 Turks and Caicos Islands 0
## 188 Tuvalu 13
## OOSR_Primary_Age_Female Completion_Rate_Primary_Male
## 167 10 95
## 100 2 69
## 152 0 99
## 124 0 75
## 66 0 66
## 153 0 0
## 102 0 0
## 23 0 99
## 24 10 95
## 71 1 0
## 9 9 99
## 172 35 66
## 184 0 94
## 119 3 95
## 91 19 96
## 194 1 0
## 68 2 100
## 169 3 0
## 77 0 49
## 185 5 99
## 156 6 79
## 200 21 70
## 85 0 78
## 159 2 99
## 2 3 94
## 31 7 0
## 168 67 31
## 25 1 95
## 43 3 98
## 76 0 96
## 3 0 93
## 201 13 71
## 84 0 0
## 166 0 0
## 1 0 67
## 177 2 99
## 56 0 91
## 13 0 0
## 16 2 99
## 52 35 0
## 88 3 0
## 8 0 91
## 39 2 91
## 113 21 68
## 41 16 78
## 27 0 0
## 67 10 64
## 121 3 0
## 190 7 100
## 198 10 0
## 195 3 96
## 65 0 0
## 176 28 0
## 154 0 0
## 131 0 71
## 89 0 99
## 173 11 80
## 47 1 0
## 110 44 50
## 37 2 96
## 45 0 0
## 5 0 63
## 129 0 0
## 114 1 0
## 158 21 44
## 64 1 0
## 98 1 0
## 174 0 0
## 58 55 0
## 19 1 95
## 104 0 0
## 96 0 99
## 144 1 0
## 29 22 32
## 99 0 0
## 109 1 0
## 118 3 96
## 157 3 0
## 196 2 0
## 54 4 88
## 107 0 43
## 18 0 0
## 34 0 0
## 163 4 0
## 12 7 0
## 147 11 99
## 79 14 81
## 82 1 92
## 105 1 0
## 10 0 0
## 59 50 0
## 60 2 0
## 202 0 86
## 86 0 0
## 51 0 0
## 140 0 93
## 83 8 91
## 11 0 0
## 17 2 100
## 92 9 100
## 149 0 0
## 175 0 0
## 179 3 77
## 136 0 64
## 161 2 63
## 197 7 0
## 28 13 0
## 40 18 75
## 70 0 69
## 38 0 97
## 74 29 52
## 50 0 67
## 164 0 0
## 170 3 99
## 15 0 76
## 146 1 0
## 57 13 84
## 162 0 0
## 63 1 0
## 128 1 0
## 148 13 0
## 55 0 98
## 186 0 100
## 138 14 95
## 87 0 0
## 192 1 0
## 35 0 54
## 22 5 0
## 111 0 0
## 143 2 0
## 115 0 98
## 80 5 0
## 33 13 75
## 134 0 0
## 44 8 60
## 108 0 0
## 141 0 95
## 122 4 44
## 127 1 0
## 69 0 0
## 81 1 0
## 101 21 36
## 49 0 100
## 183 0 0
## 135 0 0
## 93 0 77
## 75 0 29
## 73 10 80
## 139 10 0
## 191 5 0
## 21 2 67
## 90 0 0
## 20 10 51
## 95 1 0
## 142 3 89
## 62 18 47
## 180 4 83
## 199 0 96
## 193 12 75
## 48 0 0
## 36 35 31
## 189 3 39
## 106 0 52
## 46 1 100
## 123 0 82
## 30 6 46
## 126 0 81
## 182 0 98
## 150 6 48
## 178 0 98
## 14 3 0
## 32 9 68
## 97 9 84
## 165 4 0
## 130 45 35
## 145 0 0
## 4 0 0
## 6 0 0
## 7 1 0
## 26 3 0
## 42 2 0
## 53 3 0
## 61 17 64
## 72 0 0
## 78 0 0
## 94 0 92
## 103 2 0
## 112 27 0
## 116 11 0
## 117 0 0
## 120 15 0
## 125 0 0
## 132 0 0
## 133 1 97
## 137 0 0
## 151 0 0
## 155 0 0
## 160 0 0
## 171 3 99
## 181 0 0
## 187 0 0
## 188 17 0
## Completion_Rate_Primary_Female Completion_Rate_Lower_Secondary_Male
## 167 98 85
## 100 92 33
## 152 99 85
## 124 86 48
## 66 75 32
## 153 0 0
## 102 0 0
## 23 100 97
## 24 98 92
## 71 0 0
## 9 99 95
## 172 64 49
## 184 97 68
## 119 98 93
## 91 97 86
## 194 0 0
## 68 100 98
## 169 0 0
## 77 58 32
## 185 98 96
## 156 86 32
## 200 55 55
## 85 73 46
## 159 100 99
## 2 96 98
## 31 0 0
## 168 18 22
## 25 97 81
## 43 99 70
## 76 99 80
## 3 93 49
## 201 73 54
## 84 0 0
## 166 0 0
## 1 40 49
## 177 98 95
## 56 92 79
## 13 0 0
## 16 99 98
## 52 0 0
## 88 0 0
## 8 94 70
## 39 95 74
## 113 58 53
## 41 82 56
## 27 0 0
## 67 60 50
## 121 0 0
## 190 99 100
## 198 0 0
## 195 98 66
## 65 0 0
## 176 0 0
## 154 0 0
## 131 71 66
## 89 100 97
## 173 90 41
## 47 0 0
## 110 41 36
## 37 97 94
## 45 0 0
## 5 57 42
## 129 0 0
## 114 0 0
## 158 50 27
## 64 0 0
## 98 0 0
## 174 0 0
## 58 0 0
## 19 96 55
## 104 0 0
## 96 100 99
## 144 0 0
## 29 29 13
## 99 0 0
## 109 0 0
## 118 98 87
## 157 0 0
## 196 0 0
## 54 94 76
## 107 52 23
## 18 0 0
## 34 0 0
## 163 0 0
## 12 0 0
## 147 99 95
## 79 87 46
## 82 91 82
## 105 0 0
## 10 0 0
## 59 0 0
## 60 0 0
## 202 92 45
## 86 0 0
## 51 0 0
## 140 96 81
## 83 92 64
## 11 0 0
## 17 100 100
## 92 100 100
## 149 0 0
## 175 0 0
## 179 85 63
## 136 55 55
## 161 65 47
## 197 0 0
## 28 0 0
## 40 77 47
## 70 73 45
## 38 97 93
## 74 39 33
## 50 66 58
## 164 0 0
## 170 99 94
## 15 89 59
## 146 0 0
## 57 89 73
## 162 0 0
## 63 0 0
## 128 0 0
## 148 0 0
## 55 98 89
## 186 100 99
## 138 96 75
## 87 0 0
## 192 0 0
## 35 33 16
## 22 0 0
## 111 0 0
## 143 0 0
## 115 98 87
## 80 0 0
## 33 74 52
## 134 0 0
## 44 53 36
## 108 0 0
## 141 95 83
## 122 39 15
## 127 0 0
## 69 0 0
## 81 0 0
## 101 33 29
## 49 100 100
## 183 0 0
## 135 0 0
## 93 82 61
## 75 25 18
## 73 76 52
## 139 0 0
## 191 0 0
## 21 71 41
## 90 0 0
## 20 44 25
## 95 0 0
## 142 95 75
## 62 48 19
## 180 76 55
## 199 97 81
## 193 84 31
## 48 0 0
## 36 24 18
## 189 43 27
## 106 60 26
## 46 98 95
## 123 84 45
## 30 54 26
## 126 83 71
## 182 99 65
## 150 61 25
## 178 99 81
## 14 0 0
## 32 79 41
## 97 83 54
## 165 0 0
## 130 24 10
## 145 0 0
## 4 0 0
## 6 0 0
## 7 0 0
## 26 0 0
## 42 0 0
## 53 0 0
## 61 77 47
## 72 0 0
## 78 0 0
## 94 96 69
## 103 0 0
## 112 0 0
## 116 0 0
## 117 0 0
## 120 0 0
## 125 0 0
## 132 0 0
## 133 100 93
## 137 0 0
## 151 0 0
## 155 0 0
## 160 0 0
## 171 100 80
## 181 0 0
## 187 0 0
## 188 0 0
## Completion_Rate_Lower_Secondary_Female Completion_Rate_Upper_Secondary_Male
## 167 91 45
## 100 55 27
## 152 98 70
## 124 62 33
## 66 33 14
## 153 0 0
## 102 0 0
## 23 97 92
## 24 92 55
## 71 0 0
## 9 99 69
## 172 52 33
## 184 80 40
## 119 97 83
## 91 88 49
## 194 0 0
## 68 98 79
## 169 0 0
## 77 38 17
## 185 92 51
## 156 36 4
## 200 39 37
## 85 47 45
## 159 99 71
## 2 97 76
## 31 0 0
## 168 10 12
## 25 89 65
## 43 76 56
## 76 88 49
## 3 65 22
## 201 50 33
## 84 0 0
## 166 0 0
## 1 26 32
## 177 93 80
## 56 81 43
## 13 0 0
## 16 98 91
## 52 0 0
## 88 0 0
## 8 79 46
## 39 81 69
## 113 40 31
## 41 45 28
## 27 0 0
## 67 48 33
## 121 0 0
## 190 100 97
## 198 0 0
## 195 73 48
## 65 0 0
## 176 0 0
## 154 0 0
## 131 59 57
## 89 97 80
## 173 58 18
## 47 0 0
## 110 25 23
## 37 97 83
## 45 0 0
## 5 32 24
## 129 0 0
## 114 0 0
## 158 30 11
## 64 0 0
## 98 0 0
## 174 0 0
## 58 0 0
## 19 66 48
## 104 0 0
## 96 99 89
## 144 0 0
## 29 6 6
## 99 0 0
## 109 0 0
## 118 93 60
## 157 0 0
## 196 0 0
## 54 89 48
## 107 21 15
## 18 0 0
## 34 0 0
## 163 0 0
## 12 0 0
## 147 98 63
## 79 52 29
## 82 79 46
## 105 0 0
## 10 0 0
## 59 0 0
## 60 0 0
## 202 53 17
## 86 0 0
## 51 0 0
## 140 79 60
## 83 59 40
## 11 0 0
## 17 100 91
## 92 100 95
## 149 0 0
## 175 0 0
## 179 70 49
## 136 45 24
## 161 42 27
## 197 0 0
## 28 0 0
## 40 45 24
## 70 50 12
## 38 93 63
## 74 20 22
## 50 52 36
## 164 0 0
## 170 96 32
## 15 71 32
## 146 0 0
## 57 74 34
## 162 0 0
## 63 0 0
## 128 0 0
## 148 0 0
## 55 92 78
## 186 100 93
## 138 81 57
## 87 0 0
## 192 0 0
## 35 8 8
## 22 0 0
## 111 0 0
## 143 0 0
## 115 90 56
## 80 0 0
## 33 43 26
## 134 0 0
## 44 22 17
## 108 0 0
## 141 83 78
## 122 11 8
## 127 0 0
## 69 0 0
## 81 0 0
## 101 23 18
## 49 100 100
## 183 0 0
## 135 0 0
## 93 69 44
## 75 16 14
## 73 45 27
## 139 0 0
## 191 0 0
## 21 38 25
## 90 0 0
## 20 13 12
## 95 0 0
## 142 88 74
## 62 22 11
## 180 39 31
## 199 87 50
## 193 27 32
## 48 0 0
## 36 10 15
## 189 23 18
## 106 27 16
## 46 98 85
## 123 45 14
## 30 19 4
## 126 75 27
## 182 76 45
## 150 30 19
## 178 92 59
## 14 0 0
## 32 39 20
## 97 53 32
## 165 0 0
## 130 4 4
## 145 0 0
## 4 0 0
## 6 0 0
## 7 0 0
## 26 0 0
## 42 0 0
## 53 0 0
## 61 54 31
## 72 0 0
## 78 0 0
## 94 88 13
## 103 0 0
## 112 0 0
## 116 0 0
## 117 0 0
## 120 0 0
## 125 0 0
## 132 0 0
## 133 95 86
## 137 0 0
## 151 0 0
## 155 0 0
## 160 0 0
## 171 93 52
## 181 0 0
## 187 0 0
## 188 0 0
## Completion_Rate_Upper_Secondary_Female Primary_End_Proficiency_Reading
## 167 52 0
## 100 37 0
## 152 90 0
## 124 39 35
## 66 14 0
## 153 0 0
## 102 0 0
## 23 92 0
## 24 66 0
## 71 0 0
## 9 79 0
## 172 28 0
## 184 57 0
## 119 90 0
## 91 63 0
## 194 0 0
## 68 83 0
## 169 0 0
## 77 16 0
## 185 44 0
## 156 8 0
## 200 23 0
## 85 43 0
## 159 81 0
## 2 80 0
## 31 0 0
## 168 4 0
## 25 75 53
## 43 60 68
## 76 64 0
## 3 37 0
## 201 27 0
## 84 0 0
## 166 0 0
## 1 14 13
## 177 63 0
## 56 41 0
## 13 0 0
## 16 97 0
## 52 0 0
## 88 0 0
## 8 53 46
## 39 78 55
## 113 23 0
## 41 19 17
## 27 0 0
## 67 28 0
## 121 0 0
## 190 97 0
## 198 0 0
## 195 29 59
## 65 0 94
## 176 0 0
## 154 0 0
## 131 44 0
## 89 83 0
## 173 26 0
## 47 0 0
## 110 12 0
## 37 88 70
## 45 0 0
## 5 15 0
## 129 0 31
## 114 0 88
## 158 10 35
## 64 0 0
## 98 0 0
## 174 0 0
## 58 0 0
## 19 51 0
## 104 0 97
## 96 85 36
## 144 0 0
## 29 2 21
## 99 0 0
## 109 0 0
## 118 73 0
## 157 0 0
## 196 0 0
## 54 66 21
## 107 13 0
## 18 0 0
## 34 0 0
## 163 0 93
## 12 0 81
## 147 71 0
## 79 35 31
## 82 40 46
## 105 0 0
## 10 0 0
## 59 0 0
## 60 0 0
## 202 14 0
## 86 0 0
## 51 0 0
## 140 67 29
## 83 37 0
## 11 0 98
## 17 94 0
## 92 96 98
## 149 0 99
## 175 0 0
## 179 55 0
## 136 23 0
## 161 18 0
## 197 0 0
## 28 0 95
## 40 32 0
## 70 9 0
## 38 67 0
## 74 13 0
## 50 27 0
## 164 0 0
## 170 43 0
## 15 27 44
## 146 0 0
## 57 36 0
## 162 0 0
## 63 0 0
## 128 0 0
## 148 0 0
## 55 79 38
## 186 95 0
## 138 68 36
## 87 0 0
## 192 0 0
## 35 6 0
## 22 0 0
## 111 0 0
## 143 0 0
## 115 60 58
## 80 0 97
## 33 21 24
## 134 0 0
## 44 15 22
## 108 0 0
## 141 72 46
## 122 5 0
## 127 0 0
## 69 0 95
## 81 0 0
## 101 9 0
## 49 100 0
## 183 0 0
## 135 0 0
## 93 38 0
## 75 8 0
## 73 25 36
## 139 0 0
## 191 0 0
## 21 18 0
## 90 0 0
## 20 5 23
## 95 0 0
## 142 83 0
## 62 14 0
## 180 12 16
## 199 61 55
## 193 27 0
## 48 0 0
## 36 6 3
## 189 15 0
## 106 15 4
## 46 86 0
## 123 19 0
## 30 3 7
## 126 28 0
## 182 56 0
## 150 16 0
## 178 72 0
## 14 0 0
## 32 20 50
## 97 31 0
## 165 0 0
## 130 1 2
## 145 0 0
## 4 0 0
## 6 0 0
## 7 0 0
## 26 0 0
## 42 0 0
## 53 0 0
## 61 33 0
## 72 0 0
## 78 0 0
## 94 20 0
## 103 0 0
## 112 0 0
## 116 0 0
## 117 0 0
## 120 0 0
## 125 0 0
## 132 0 0
## 133 79 0
## 137 0 0
## 151 0 0
## 155 0 0
## 160 0 0
## 171 73 0
## 181 0 0
## 187 0 0
## 188 0 0
## Primary_End_Proficiency_Math Youth_15_24_Literacy_Rate_Male
## 167 13 0
## 100 0 0
## 152 0 0
## 124 6 94
## 66 0 88
## 153 0 0
## 102 0 0
## 23 0 0
## 24 16 0
## 71 0 99
## 9 55 0
## 172 0 73
## 184 0 0
## 119 0 99
## 91 0 99
## 194 0 0
## 68 0 0
## 169 0 100
## 77 0 0
## 185 57 0
## 156 0 98
## 200 0 0
## 85 0 0
## 159 72 0
## 2 0 99
## 31 0 0
## 168 0 48
## 25 52 99
## 43 60 99
## 76 0 0
## 3 0 98
## 201 0 93
## 84 0 0
## 166 0 0
## 1 11 74
## 177 0 0
## 56 0 0
## 13 0 0
## 16 0 0
## 52 0 0
## 88 0 100
## 8 56 99
## 39 48 99
## 113 0 0
## 41 6 85
## 27 0 100
## 67 0 0
## 121 0 98
## 190 0 0
## 198 0 0
## 195 68 99
## 65 58 0
## 176 0 0
## 154 0 99
## 131 0 82
## 89 0 0
## 173 0 99
## 47 0 0
## 110 0 58
## 37 75 0
## 45 67 0
## 5 0 0
## 129 20 0
## 114 78 99
## 158 29 0
## 64 0 0
## 98 0 100
## 174 0 0
## 58 0 0
## 19 0 0
## 104 81 0
## 96 35 100
## 144 0 100
## 29 22 62
## 99 0 100
## 109 0 0
## 118 0 98
## 157 0 0
## 196 0 100
## 54 12 0
## 107 0 0
## 18 0 0
## 34 0 0
## 163 65 0
## 12 0 0
## 147 0 0
## 79 32 95
## 82 44 93
## 105 0 0
## 10 64 0
## 59 0 94
## 60 0 0
## 202 0 0
## 86 0 0
## 51 0 0
## 140 23 98
## 83 0 100
## 11 0 0
## 17 0 100
## 92 80 100
## 149 89 100
## 175 0 0
## 179 0 82
## 136 0 0
## 161 0 71
## 197 0 96
## 28 75 0
## 40 0 78
## 70 0 93
## 38 0 100
## 74 0 70
## 50 0 0
## 164 0 0
## 170 0 99
## 15 32 94
## 146 0 0
## 57 0 98
## 162 0 100
## 63 0 0
## 128 0 0
## 148 0 99
## 55 48 0
## 186 0 0
## 138 23 99
## 87 0 0
## 192 0 0
## 35 0 48
## 22 0 0
## 111 0 99
## 143 0 0
## 115 69 99
## 80 75 0
## 33 12 88
## 134 70 0
## 44 3 64
## 108 0 97
## 141 53 99
## 122 0 0
## 127 0 0
## 69 77 0
## 81 0 0
## 101 0 0
## 49 0 0
## 183 0 0
## 135 0 98
## 93 0 88
## 75 0 0
## 73 34 0
## 139 0 0
## 191 0 0
## 21 0 0
## 90 0 0
## 20 11 70
## 95 0 99
## 142 0 0
## 62 0 0
## 180 20 0
## 199 51 98
## 193 0 0
## 48 0 0
## 36 3 0
## 189 0 89
## 106 5 82
## 46 0 0
## 123 0 0
## 30 40 0
## 126 0 94
## 182 0 99
## 150 0 84
## 178 0 98
## 14 0 100
## 32 0 0
## 97 0 0
## 165 0 0
## 130 1 51
## 145 0 0
## 4 0 0
## 6 0 0
## 7 0 0
## 26 0 0
## 42 0 0
## 53 0 0
## 61 0 94
## 72 0 0
## 78 0 0
## 94 0 0
## 103 0 0
## 112 0 0
## 116 0 0
## 117 0 0
## 120 0 0
## 125 0 0
## 132 0 0
## 133 0 0
## 137 0 0
## 151 0 0
## 155 0 100
## 160 0 99
## 171 0 99
## 181 0 0
## 187 0 0
## 188 0 0
## Youth_15_24_Literacy_Rate_Female Birth_Rate
## 167 0 20.51
## 100 0 26.81
## 152 0 12.00
## 124 96 28.64
## 66 91 31.61
## 153 0 14.24
## 102 0 18.83
## 23 0 8.11
## 24 0 24.82
## 71 99 8.10
## 9 0 13.99
## 172 73 32.18
## 184 0 17.56
## 119 99 11.73
## 91 99 21.98
## 194 0 11.60
## 68 0 13.47
## 169 100 7.90
## 77 0 24.35
## 185 0 16.03
## 156 98 31.54
## 200 0 30.45
## 85 0 29.08
## 159 0 9.20
## 2 100 11.78
## 31 0 19.49
## 168 47 35.01
## 25 99 13.92
## 43 100 13.97
## 76 0 19.97
## 3 97 24.28
## 201 92 36.19
## 84 0 18.78
## 166 0 41.75
## 1 56 32.49
## 177 0 30.76
## 56 0 26.38
## 13 0 13.97
## 16 0 10.65
## 52 0 21.47
## 88 100 7.30
## 8 100 17.02
## 39 99 14.88
## 113 0 33.69
## 41 79 32.86
## 27 100 14.90
## 67 0 38.54
## 121 97 18.94
## 190 0 8.70
## 198 0 17.88
## 195 99 13.86
## 65 0 11.30
## 176 0 23.69
## 154 99 24.38
## 131 68 37.91
## 89 0 16.10
## 173 98 18.54
## 47 0 10.46
## 110 43 41.54
## 37 0 12.43
## 45 0 9.00
## 5 0 40.73
## 129 0 20.64
## 114 99 10.20
## 158 0 34.52
## 64 0 8.60
## 98 100 10.00
## 174 0 11.40
## 58 0 33.24
## 19 0 20.79
## 104 0 10.00
## 96 100 27.10
## 144 100 8.50
## 29 55 37.93
## 99 100 17.55
## 109 0 14.20
## 118 99 24.13
## 157 0 17.80
## 196 100 23.30
## 54 0 19.51
## 107 0 34.12
## 18 0 10.30
## 34 0 10.10
## 163 0 10.60
## 12 0 14.00
## 147 0 10.10
## 79 98 21.60
## 82 90 17.86
## 105 0 10.30
## 10 0 12.60
## 59 93 30.30
## 60 0 10.90
## 202 0 30.68
## 86 0 12.50
## 51 0 10.60
## 140 99 20.57
## 83 100 18.07
## 11 0 9.70
## 17 100 9.90
## 92 100 21.77
## 149 100 11.50
## 175 0 10.00
## 179 85 29.42
## 136 0 28.25
## 161 63 33.41
## 197 97 29.60
## 28 0 8.90
## 40 78 31.88
## 70 92 29.41
## 38 100 10.90
## 74 43 36.36
## 50 0 41.18
## 164 0 9.40
## 170 99 15.83
## 15 96 18.18
## 146 0 6.40
## 57 98 18.25
## 162 100 8.80
## 63 0 21.28
## 128 0 11.98
## 148 99 9.60
## 55 0 19.72
## 186 0 23.83
## 138 99 18.98
## 87 0 20.80
## 192 0 11.00
## 35 29 35.35
## 22 0 21.75
## 111 100 9.20
## 143 0 10.20
## 115 99 17.60
## 80 0 9.60
## 33 82 35.39
## 134 0 10.40
## 44 53 35.74
## 108 97 16.75
## 141 99 17.95
## 122 0 37.52
## 127 0 9.70
## 69 0 9.50
## 81 0 12.00
## 101 0 33.04
## 49 0 13.89
## 183 0 12.94
## 135 99 19.19
## 93 88 28.75
## 75 0 35.13
## 73 0 24.56
## 139 0 27.07
## 191 0 10.33
## 21 0 17.26
## 90 0 7.40
## 20 52 36.22
## 95 100 13.94
## 142 0 20.55
## 62 0 32.34
## 180 0 33.11
## 199 98 16.75
## 193 0 36.70
## 48 0 10.70
## 36 0 42.17
## 189 90 38.14
## 106 81 32.66
## 46 0 10.17
## 123 0 17.55
## 30 0 39.01
## 126 91 19.89
## 182 100 24.30
## 150 89 31.70
## 178 99 10.34
## 14 99 13.99
## 32 0 22.46
## 97 0 23.55
## 165 0 32.44
## 130 36 46.08
## 145 0 9.54
## 4 0 7.20
## 6 0 0.00
## 7 0 15.33
## 26 0 0.00
## 42 0 0.00
## 53 0 12.00
## 61 97 0.00
## 72 0 16.47
## 78 0 0.00
## 94 0 27.89
## 103 0 9.90
## 112 0 29.03
## 116 0 22.82
## 117 0 5.90
## 120 0 0.00
## 125 0 0.00
## 132 0 0.00
## 133 0 0.00
## 137 0 14.00
## 151 0 12.60
## 155 100 6.80
## 160 100 17.10
## 171 99 0.00
## 181 0 0.00
## 187 0 0.00
## 188 0 0.00
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## 167 100.9 22.4
## 100 120.9 10.2
## 152 102.6 14.1
## 124 124.2 22.9
## 66 139.9 8.3
## 153 113.4 23.7
## 102 109.0 60.5
## 23 0.0 23.3
## 24 103.2 24.9
## 71 99.6 136.6
## 9 92.7 54.6
## 172 76.8 16.9
## 184 115.4 31.7
## 119 100.0 56.1
## 91 81.5 34.4
## 194 101.8 88.2
## 68 98.6 63.9
## 169 102.7 88.9
## 77 113.6 1.1
## 185 93.2 23.9
## 156 106.8 13.4
## 200 93.6 10.2
## 85 108.7 16.2
## 159 100.3 67.2
## 2 107.0 55.0
## 31 104.0 23.6
## 168 73.0 0.0
## 25 115.4 51.3
## 43 113.3 55.2
## 76 97.8 11.6
## 3 109.9 51.4
## 201 98.7 4.1
## 84 110.7 68.1
## 166 23.4 2.5
## 1 104.0 9.7
## 177 100.9 31.3
## 56 106.3 35.2
## 13 81.4 15.1
## 16 99.4 65.4
## 52 75.3 5.3
## 88 101.9 61.9
## 8 109.7 90.0
## 39 114.5 55.3
## 113 99.9 5.0
## 41 106.6 12.7
## 27 103.2 31.4
## 67 98.0 2.7
## 121 113.9 35.9
## 190 99.0 82.7
## 198 97.2 79.3
## 195 108.5 63.1
## 65 102.5 65.6
## 176 81.7 40.1
## 154 110.5 7.6
## 131 84.7 10.2
## 89 91.0 27.1
## 173 108.8 12.6
## 47 99.3 75.9
## 110 75.6 4.5
## 37 101.4 88.5
## 45 96.5 67.9
## 5 113.5 9.3
## 129 120.6 17.4
## 114 101.1 40.6
## 158 81.0 12.8
## 64 100.2 88.2
## 98 99.4 88.1
## 174 126.6 67.0
## 58 61.8 1.9
## 19 111.7 24.7
## 104 103.9 72.4
## 96 107.6 41.3
## 144 106.2 63.9
## 29 96.1 6.5
## 99 95.1 26.3
## 109 97.1 31.2
## 118 104.0 65.6
## 157 99.8 68.0
## 196 104.2 10.1
## 54 105.7 59.9
## 107 142.5 0.8
## 18 103.9 79.7
## 34 100.9 68.9
## 163 98.7 46.6
## 12 99.7 27.7
## 147 90.6 39.8
## 79 91.5 26.2
## 82 113.0 28.1
## 105 102.3 19.2
## 10 100.3 113.1
## 59 68.4 3.4
## 60 97.2 69.6
## 202 109.9 10.0
## 86 100.9 77.8
## 51 101.3 80.6
## 140 104.4 34.6
## 83 106.4 36.3
## 11 103.1 85.1
## 17 100.5 87.4
## 92 104.4 61.7
## 149 102.6 81.9
## 175 105.2 59.6
## 179 115.3 17.8
## 136 94.3 9.0
## 161 112.8 2.0
## 197 109.3 4.7
## 28 89.3 71.0
## 40 99.5 9.0
## 70 104.8 15.7
## 38 100.2 50.6
## 74 91.5 11.6
## 50 108.0 6.6
## 164 100.4 78.6
## 170 100.2 19.6
## 15 116.5 20.6
## 146 98.1 94.3
## 57 94.8 29.4
## 162 100.6 84.8
## 63 106.4 16.1
## 128 100.0 82.0
## 148 85.2 49.4
## 55 103.3 44.9
## 186 88.4 8.0
## 138 94.4 47.8
## 87 104.9 63.4
## 192 101.2 60.0
## 35 102.0 3.0
## 22 98.2 0.0
## 111 105.0 54.3
## 143 100.0 67.8
## 115 105.8 40.2
## 80 100.8 48.5
## 33 103.4 12.8
## 134 100.3 82.0
## 44 99.8 9.3
## 108 105.3 45.1
## 141 106.9 70.7
## 122 112.6 7.3
## 127 104.2 85.0
## 69 104.0 70.2
## 81 100.4 71.8
## 101 85.1 11.9
## 49 112.8 27.0
## 183 106.2 12.0
## 135 103.4 38.0
## 93 103.2 11.5
## 75 118.7 2.6
## 73 101.9 21.8
## 139 108.5 1.8
## 191 108.4 36.8
## 21 100.1 15.6
## 90 98.8 63.2
## 20 122.0 12.3
## 95 92.4 54.4
## 142 107.5 35.5
## 62 101.0 8.1
## 180 123.8 14.5
## 199 110.6 28.5
## 193 94.2 4.0
## 48 100.7 64.1
## 36 86.8 3.3
## 189 102.7 4.8
## 106 142.5 5.4
## 46 101.9 41.4
## 123 112.3 18.8
## 30 121.4 6.1
## 126 142.1 12.4
## 182 116.3 6.4
## 150 133.0 6.7
## 178 99.8 49.3
## 14 99.4 50.5
## 32 107.4 13.7
## 97 102.4 15.0
## 165 106.2 0.0
## 130 74.7 4.4
## 145 103.8 17.9
## 4 106.4 0.0
## 6 0.0 0.0
## 7 105.0 24.8
## 26 0.0 0.0
## 42 0.0 0.0
## 53 114.7 7.2
## 61 0.0 0.0
## 72 106.9 104.6
## 78 0.0 0.0
## 94 101.3 0.0
## 103 104.7 35.6
## 112 84.7 23.7
## 116 97.2 14.1
## 117 0.0 0.0
## 120 0.0 0.0
## 125 0.0 0.0
## 132 0.0 0.0
## 133 0.0 0.0
## 137 112.6 54.7
## 151 108.7 86.7
## 155 108.1 42.5
## 160 100.4 17.1
## 171 0.0 0.0
## 181 0.0 0.0
## 187 0.0 0.0
## 188 0.0 0.0
## Unemployment_Rate
## 167 28.18
## 100 23.41
## 152 20.71
## 124 20.27
## 66 20.00
## 153 18.88
## 102 18.56
## 23 18.42
## 24 18.19
## 71 17.24
## 9 16.99
## 172 16.53
## 184 16.02
## 119 14.88
## 91 14.72
## 194 14.70
## 68 14.40
## 169 13.96
## 77 13.78
## 185 13.49
## 156 13.37
## 200 12.91
## 85 12.82
## 159 12.69
## 2 12.33
## 31 12.25
## 168 12.24
## 25 12.08
## 43 11.85
## 76 11.85
## 3 11.70
## 201 11.43
## 84 11.38
## 166 11.35
## 1 11.12
## 177 11.02
## 56 10.76
## 13 10.36
## 16 10.33
## 52 10.30
## 88 9.89
## 8 9.79
## 39 9.71
## 113 9.55
## 41 9.47
## 27 9.12
## 67 9.06
## 121 9.02
## 190 8.88
## 198 8.80
## 195 8.73
## 65 8.43
## 176 8.37
## 154 8.36
## 131 8.10
## 89 8.00
## 173 7.33
## 47 7.27
## 110 7.22
## 37 7.09
## 45 6.93
## 5 6.89
## 129 6.84
## 114 6.67
## 158 6.60
## 64 6.59
## 98 6.52
## 174 6.48
## 58 6.43
## 19 6.41
## 104 6.35
## 96 6.33
## 144 6.33
## 29 6.26
## 99 6.23
## 109 6.14
## 118 6.01
## 157 5.93
## 196 5.92
## 54 5.84
## 107 5.65
## 18 5.59
## 34 5.56
## 163 5.56
## 12 5.51
## 147 5.47
## 79 5.39
## 82 5.36
## 105 5.36
## 10 5.27
## 59 5.14
## 60 5.11
## 202 4.95
## 86 4.93
## 51 4.91
## 140 4.81
## 83 4.69
## 11 4.67
## 17 4.59
## 92 4.59
## 149 4.59
## 175 4.58
## 179 4.55
## 136 4.45
## 161 4.43
## 197 4.39
## 28 4.34
## 40 4.34
## 70 4.33
## 38 4.32
## 74 4.30
## 50 4.24
## 164 4.20
## 170 4.20
## 15 4.19
## 146 4.15
## 57 4.11
## 162 4.11
## 63 4.10
## 128 4.07
## 148 3.98
## 55 3.97
## 186 3.91
## 138 3.90
## 87 3.86
## 192 3.85
## 35 3.68
## 22 3.50
## 111 3.47
## 143 3.47
## 115 3.42
## 80 3.40
## 33 3.38
## 134 3.35
## 44 3.32
## 108 3.32
## 141 3.31
## 122 3.24
## 127 3.20
## 69 3.04
## 81 2.84
## 101 2.81
## 49 2.74
## 183 2.69
## 135 2.67
## 93 2.64
## 75 2.47
## 73 2.46
## 139 2.46
## 191 2.35
## 21 2.34
## 90 2.29
## 20 2.23
## 95 2.18
## 142 2.15
## 62 2.08
## 180 2.04
## 199 2.01
## 193 1.98
## 48 1.93
## 36 1.89
## 189 1.84
## 106 1.76
## 46 1.64
## 123 1.58
## 30 1.43
## 126 1.41
## 182 1.12
## 150 1.03
## 178 0.75
## 14 0.71
## 32 0.68
## 97 0.63
## 165 0.58
## 130 0.47
## 145 0.09
## 4 0.00
## 6 0.00
## 7 0.00
## 26 0.00
## 42 0.00
## 53 0.00
## 61 0.00
## 72 0.00
## 78 0.00
## 94 0.00
## 103 0.00
## 112 0.00
## 116 0.00
## 117 0.00
## 120 0.00
## 125 0.00
## 132 0.00
## 133 0.00
## 137 0.00
## 151 0.00
## 155 0.00
## 160 0.00
## 171 0.00
## 181 0.00
## 187 0.00
## 188 0.00#3 Negara dengan tingkat pengangguran tertinggi jatuh kepada South Africa, Lesotho, dan Saint Lucia
Mengurutkan datafilter berdasarkan Kualitas Generasi Muda
# Memilih hanya variabel yang digunakan dalam ordering
datanewgen_subset <- Datafilter[, c("Countries.and.areas", "Youth_15_24_Literacy_Rate_Male", "Youth_15_24_Literacy_Rate_Female")]
# Melakukan ordering dan membuat datanewgen
datanewgen <- datanewgen_subset[order(datanewgen_subset$Youth_15_24_Literacy_Rate_Male, datanewgen_subset$Youth_15_24_Literacy_Rate_Female, decreasing = c(TRUE, TRUE)),]
# Menampilkan hasil
datanewgen## Countries.and.areas Youth_15_24_Literacy_Rate_Male
## 17 Belarus 100
## 27 Brunei 100
## 38 China 100
## 83 Indonesia 100
## 88 Italy 100
## 92 Kazakhstan 100
## 96 Kyrgyzstan 100
## 98 Latvia 100
## 99 Lebanon 100
## 144 Portugal 100
## 149 Russia 100
## 155 San Marino 100
## 162 Singapore 100
## 169 Spain 100
## 196 Uzbekistan 100
## 14 Bahrain 100
## 2 Albania 99
## 8 Argentina 99
## 43 Costa Rica 99
## 95 Kuwait 99
## 111 Malta 99
## 160 Seychelles 99
## 182 Tonga 99
## 25 Brazil 99
## 39 Colombia 99
## 71 Greece 99
## 91 Jordan 99
## 114 Mauritius 99
## 115 Mexico 99
## 119 Montenegro 99
## 138 Panama 99
## 141 Peru 99
## 148 Romania 99
## 154 Samoa 99
## 170 Sri Lanka 99
## 171 Palestinian National Authority 99
## 195 Uruguay 99
## 173 Suriname 99
## 118 Mongolia 98
## 135 Oman 98
## 140 Paraguay 98
## 178 Thailand 98
## 57 El Salvador 98
## 156 S�������\xef\xbf 98
## 199 Vietnam 98
## 3 Algeria 98
## 121 Morocco 98
## 108 Malaysia 97
## 197 Vanuatu 96
## 79 Honduras 95
## 61 Eswatini 94
## 15 Bangladesh 94
## 124 Namibia 94
## 59 Eritrea 94
## 126 Nepal 94
## 70 Ghana 93
## 201 Zambia 93
## 82 India 93
## 189 Uganda 89
## 66 Gabon 88
## 93 Kenya 88
## 33 Cameroon 88
## 41 Republic of the Congo 85
## 150 Rwanda 84
## 179 East Timor 82
## 106 Madagascar 82
## 131 Nigeria 82
## 40 Comoros 78
## 1 Afghanistan 74
## 172 Sudan 73
## 161 Sierra Leone 71
## 20 Benin 70
## 74 Guinea 70
## 44 Ivory Coast 64
## 29 Burkina Faso 62
## 110 Mali 58
## 130 Niger 51
## 168 South Sudan 48
## 35 Central African Republic 48
## 4 Andorra 0
## 5 Angola 0
## 6 Anguilla 0
## 7 Antigua and Barbuda 0
## 9 Armenia 0
## 10 Australia 0
## 11 Austria 0
## 12 Azerbaijan 0
## 13 The Bahamas 0
## 16 Barbados 0
## 18 Belgium 0
## 19 Belize 0
## 21 Bhutan 0
## 22 Bolivia 0
## 23 Bosnia and Herzegovina 0
## 24 Botswana 0
## 26 British Virgin Islands 0
## 28 Bulgaria 0
## 30 Burundi 0
## 31 Cape Verde 0
## 32 Cambodia 0
## 34 Canada 0
## 36 Chad 0
## 37 Chile 0
## 42 Cook Islands 0
## 45 Croatia 0
## 46 Cuba 0
## 47 Cyprus 0
## 48 Czech Republic 0
## 49 North Korea 0
## 50 Democratic Republic of the Congo 0
## 51 Denmark 0
## 52 Djibouti 0
## 53 Dominica 0
## 54 Dominican Republic 0
## 55 Ecuador 0
## 56 Egypt 0
## 58 Equatorial Guinea 0
## 60 Estonia 0
## 62 Ethiopia 0
## 63 Fiji 0
## 64 Finland 0
## 65 France 0
## 67 The Gambia 0
## 68 Georgia 0
## 69 Germany 0
## 72 Grenada 0
## 73 Guatemala 0
## 75 Guinea0Bissau 0
## 76 Guyana 0
## 77 Haiti 0
## 78 Vatican City 0
## 80 Hungary 0
## 81 Iceland 0
## 84 Iran 0
## 85 Iraq 0
## 86 Republic of Ireland 0
## 87 Israel 0
## 89 Jamaica 0
## 90 Japan 0
## 94 Kiribati 0
## 97 Laos 0
## 100 Lesotho 0
## 101 Liberia 0
## 102 Libya 0
## 103 Liechtenstein 0
## 104 Lithuania 0
## 105 Luxembourg 0
## 107 Malawi 0
## 109 Maldives 0
## 112 Marshall Islands 0
## 113 Mauritania 0
## 116 Federated States of Micronesia 0
## 117 Monaco 0
## 120 Montserrat 0
## 122 Mozambique 0
## 123 Myanmar 0
## 125 Nauru 0
## 127 Netherlands 0
## 128 New Zealand 0
## 129 Nicaragua 0
## 132 Niue 0
## 133 North Macedonia 0
## 134 Norway 0
## 136 Pakistan 0
## 137 Palau 0
## 139 Papua New Guinea 0
## 142 Philippines 0
## 143 Poland 0
## 145 Qatar 0
## 146 South Korea 0
## 147 Moldova 0
## 151 Saint Kitts and Nevis 0
## 152 Saint Lucia 0
## 153 Saint Vincent and the Grenadines 0
## 157 Saudi Arabia 0
## 158 Senegal 0
## 159 Serbia 0
## 163 Slovakia 0
## 164 Slovenia 0
## 165 Solomon Islands 0
## 166 Somalia 0
## 167 South Africa 0
## 174 Sweden 0
## 175 Switzerland 0
## 176 Syria 0
## 177 Tajikistan 0
## 180 Togo 0
## 181 Tokelau 0
## 183 Trinidad and Tobago 0
## 184 Tunisia 0
## 185 Turkey 0
## 186 Turkmenistan 0
## 187 Turks and Caicos Islands 0
## 188 Tuvalu 0
## 190 Ukraine 0
## 191 United Arab Emirates 0
## 192 United Kingdom 0
## 193 Tanzania 0
## 194 United States 0
## 198 Venezuela 0
## 200 Yemen 0
## 202 Zimbabwe 0
## Youth_15_24_Literacy_Rate_Female
## 17 100
## 27 100
## 38 100
## 83 100
## 88 100
## 92 100
## 96 100
## 98 100
## 99 100
## 144 100
## 149 100
## 155 100
## 162 100
## 169 100
## 196 100
## 14 99
## 2 100
## 8 100
## 43 100
## 95 100
## 111 100
## 160 100
## 182 100
## 25 99
## 39 99
## 71 99
## 91 99
## 114 99
## 115 99
## 119 99
## 138 99
## 141 99
## 148 99
## 154 99
## 170 99
## 171 99
## 195 99
## 173 98
## 118 99
## 135 99
## 140 99
## 178 99
## 57 98
## 156 98
## 199 98
## 3 97
## 121 97
## 108 97
## 197 97
## 79 98
## 61 97
## 15 96
## 124 96
## 59 93
## 126 91
## 70 92
## 201 92
## 82 90
## 189 90
## 66 91
## 93 88
## 33 82
## 41 79
## 150 89
## 179 85
## 106 81
## 131 68
## 40 78
## 1 56
## 172 73
## 161 63
## 20 52
## 74 43
## 44 53
## 29 55
## 110 43
## 130 36
## 168 47
## 35 29
## 4 0
## 5 0
## 6 0
## 7 0
## 9 0
## 10 0
## 11 0
## 12 0
## 13 0
## 16 0
## 18 0
## 19 0
## 21 0
## 22 0
## 23 0
## 24 0
## 26 0
## 28 0
## 30 0
## 31 0
## 32 0
## 34 0
## 36 0
## 37 0
## 42 0
## 45 0
## 46 0
## 47 0
## 48 0
## 49 0
## 50 0
## 51 0
## 52 0
## 53 0
## 54 0
## 55 0
## 56 0
## 58 0
## 60 0
## 62 0
## 63 0
## 64 0
## 65 0
## 67 0
## 68 0
## 69 0
## 72 0
## 73 0
## 75 0
## 76 0
## 77 0
## 78 0
## 80 0
## 81 0
## 84 0
## 85 0
## 86 0
## 87 0
## 89 0
## 90 0
## 94 0
## 97 0
## 100 0
## 101 0
## 102 0
## 103 0
## 104 0
## 105 0
## 107 0
## 109 0
## 112 0
## 113 0
## 116 0
## 117 0
## 120 0
## 122 0
## 123 0
## 125 0
## 127 0
## 128 0
## 129 0
## 132 0
## 133 0
## 134 0
## 136 0
## 137 0
## 139 0
## 142 0
## 143 0
## 145 0
## 146 0
## 147 0
## 151 0
## 152 0
## 153 0
## 157 0
## 158 0
## 159 0
## 163 0
## 164 0
## 165 0
## 166 0
## 167 0
## 174 0
## 175 0
## 176 0
## 177 0
## 180 0
## 181 0
## 183 0
## 184 0
## 185 0
## 186 0
## 187 0
## 188 0
## 190 0
## 191 0
## 192 0
## 193 0
## 194 0
## 198 0
## 200 0
## 202 0#Terdapat 16 Negara yang mendapat nilai rate 100 baik pria dan wanita dibagian literasi. Termasuk Indonesia didalamnya, namun hal ini patut dipertanyakan karena faktanya tingkat literasi orang-orang di Indonesia sangat rendah, dimana orang-orang Indonesia mudah terkena Hoax dan adu domba.
Mengurutkan datafilter berdasarkan angka putus sekolah
datamaleout <- Datafilter[order(Datafilter$OOSR_Primary_Age_Male, decreasing = TRUE), c("Countries.and.areas", "OOSR_Primary_Age_Male")]
print(datamaleout)## Countries.and.areas OOSR_Primary_Age_Male
## 168 South Sudan 58
## 58 Equatorial Guinea 56
## 59 Eritrea 45
## 110 Mali 38
## 130 Niger 37
## 52 Djibouti 32
## 172 Sudan 31
## 158 Senegal 30
## 176 Syria 27
## 112 Marshall Islands 25
## 113 Mauritania 25
## 101 Liberia 22
## 29 Burkina Faso 21
## 67 The Gambia 19
## 40 Comoros 18
## 91 Jordan 18
## 36 Chad 17
## 201 Zambia 17
## 41 Republic of the Congo 15
## 61 Eswatini 15
## 74 Guinea 15
## 120 Montserrat 15
## 193 Tanzania 15
## 57 El Salvador 14
## 173 Suriname 14
## 28 Bulgaria 13
## 138 Panama 13
## 188 Tuvalu 13
## 24 Botswana 12
## 148 Romania 12
## 167 South Africa 12
## 62 Ethiopia 11
## 73 Guatemala 11
## 79 Honduras 11
## 12 Azerbaijan 10
## 92 Kazakhstan 10
## 198 Venezuela 10
## 200 Yemen 10
## 9 Armenia 9
## 30 Burundi 9
## 32 Cambodia 9
## 116 Federated States of Micronesia 9
## 147 Moldova 9
## 165 Solomon Islands 9
## 190 Ukraine 9
## 97 Laos 8
## 191 United Arab Emirates 8
## 197 Vanuatu 8
## 179 East Timor 7
## 2 Albania 6
## 31 Cape Verde 6
## 150 Rwanda 6
## 156 S�������\xef\xbf 6
## 189 Uganda 6
## 21 Bhutan 5
## 22 Bolivia 5
## 163 Slovakia 5
## 185 Turkey 5
## 7 Antigua and Barbuda 4
## 26 British Virgin Islands 4
## 33 Cameroon 4
## 53 Dominica 4
## 54 Dominican Republic 4
## 80 Hungary 4
## 95 Kuwait 4
## 139 Papua New Guinea 4
## 20 Benin 3
## 39 Colombia 3
## 43 Costa Rica 3
## 82 India 3
## 83 Indonesia 3
## 88 Italy 3
## 100 Lesotho 3
## 103 Liechtenstein 3
## 109 Maldives 3
## 114 Mauritius 3
## 119 Montenegro 3
## 142 Philippines 3
## 145 Qatar 3
## 152 Saint Lucia 3
## 169 Spain 3
## 171 Palestinian National Authority 3
## 195 Uruguay 3
## 14 Bahrain 2
## 42 Cook Islands 2
## 44 Ivory Coast 2
## 60 Estonia 2
## 68 Georgia 2
## 71 Greece 2
## 98 Latvia 2
## 118 Mongolia 2
## 121 Morocco 2
## 143 Poland 2
## 159 Serbia 2
## 161 Sierra Leone 2
## 170 Sri Lanka 2
## 180 Togo 2
## 16 Barbados 1
## 17 Belarus 1
## 18 Belgium 1
## 19 Belize 1
## 25 Brazil 1
## 37 Chile 1
## 46 Cuba 1
## 48 Czech Republic 1
## 51 Denmark 1
## 63 Fiji 1
## 64 Finland 1
## 69 Germany 1
## 70 Ghana 1
## 105 Luxembourg 1
## 122 Mozambique 1
## 127 Netherlands 1
## 128 New Zealand 1
## 133 North Macedonia 1
## 146 South Korea 1
## 149 Russia 1
## 157 Saudi Arabia 1
## 164 Slovenia 1
## 177 Tajikistan 1
## 192 United Kingdom 1
## 194 United States 1
## 1 Afghanistan 0
## 3 Algeria 0
## 4 Andorra 0
## 5 Angola 0
## 6 Anguilla 0
## 8 Argentina 0
## 10 Australia 0
## 11 Austria 0
## 13 The Bahamas 0
## 15 Bangladesh 0
## 23 Bosnia and Herzegovina 0
## 27 Brunei 0
## 34 Canada 0
## 35 Central African Republic 0
## 38 China 0
## 45 Croatia 0
## 47 Cyprus 0
## 49 North Korea 0
## 50 Democratic Republic of the Congo 0
## 55 Ecuador 0
## 56 Egypt 0
## 65 France 0
## 66 Gabon 0
## 72 Grenada 0
## 75 Guinea0Bissau 0
## 76 Guyana 0
## 77 Haiti 0
## 78 Vatican City 0
## 81 Iceland 0
## 84 Iran 0
## 85 Iraq 0
## 86 Republic of Ireland 0
## 87 Israel 0
## 89 Jamaica 0
## 90 Japan 0
## 93 Kenya 0
## 94 Kiribati 0
## 96 Kyrgyzstan 0
## 99 Lebanon 0
## 102 Libya 0
## 104 Lithuania 0
## 106 Madagascar 0
## 107 Malawi 0
## 108 Malaysia 0
## 111 Malta 0
## 115 Mexico 0
## 117 Monaco 0
## 123 Myanmar 0
## 124 Namibia 0
## 125 Nauru 0
## 126 Nepal 0
## 129 Nicaragua 0
## 131 Nigeria 0
## 132 Niue 0
## 134 Norway 0
## 135 Oman 0
## 136 Pakistan 0
## 137 Palau 0
## 140 Paraguay 0
## 141 Peru 0
## 144 Portugal 0
## 151 Saint Kitts and Nevis 0
## 153 Saint Vincent and the Grenadines 0
## 154 Samoa 0
## 155 San Marino 0
## 160 Seychelles 0
## 162 Singapore 0
## 166 Somalia 0
## 174 Sweden 0
## 175 Switzerland 0
## 178 Thailand 0
## 181 Tokelau 0
## 182 Tonga 0
## 183 Trinidad and Tobago 0
## 184 Tunisia 0
## 186 Turkmenistan 0
## 187 Turks and Caicos Islands 0
## 196 Uzbekistan 0
## 199 Vietnam 0
## 202 Zimbabwe 0datafemaleout<-Datafilter[order(Datafilter$OOSR_Primary_Age_Female, decreasing = TRUE), c("Countries.and.areas", "OOSR_Primary_Age_Female")]
print(datafemaleout)## Countries.and.areas OOSR_Primary_Age_Female
## 168 South Sudan 67
## 58 Equatorial Guinea 55
## 59 Eritrea 50
## 130 Niger 45
## 110 Mali 44
## 36 Chad 35
## 52 Djibouti 35
## 172 Sudan 35
## 74 Guinea 29
## 176 Syria 28
## 112 Marshall Islands 27
## 29 Burkina Faso 22
## 101 Liberia 21
## 113 Mauritania 21
## 158 Senegal 21
## 200 Yemen 21
## 91 Jordan 19
## 40 Comoros 18
## 62 Ethiopia 18
## 61 Eswatini 17
## 188 Tuvalu 17
## 41 Republic of the Congo 16
## 120 Montserrat 15
## 79 Honduras 14
## 138 Panama 14
## 28 Bulgaria 13
## 33 Cameroon 13
## 57 El Salvador 13
## 148 Romania 13
## 201 Zambia 13
## 193 Tanzania 12
## 116 Federated States of Micronesia 11
## 147 Moldova 11
## 173 Suriname 11
## 20 Benin 10
## 24 Botswana 10
## 67 The Gambia 10
## 73 Guatemala 10
## 139 Papua New Guinea 10
## 167 South Africa 10
## 198 Venezuela 10
## 9 Armenia 9
## 32 Cambodia 9
## 92 Kazakhstan 9
## 97 Laos 9
## 44 Ivory Coast 8
## 83 Indonesia 8
## 12 Azerbaijan 7
## 31 Cape Verde 7
## 190 Ukraine 7
## 197 Vanuatu 7
## 30 Burundi 6
## 150 Rwanda 6
## 156 S�������\xef\xbf 6
## 22 Bolivia 5
## 80 Hungary 5
## 185 Turkey 5
## 191 United Arab Emirates 5
## 54 Dominican Republic 4
## 122 Mozambique 4
## 163 Slovakia 4
## 165 Solomon Islands 4
## 180 Togo 4
## 2 Albania 3
## 14 Bahrain 3
## 26 British Virgin Islands 3
## 43 Costa Rica 3
## 53 Dominica 3
## 88 Italy 3
## 118 Mongolia 3
## 119 Montenegro 3
## 121 Morocco 3
## 142 Philippines 3
## 157 Saudi Arabia 3
## 169 Spain 3
## 170 Sri Lanka 3
## 171 Palestinian National Authority 3
## 179 East Timor 3
## 189 Uganda 3
## 195 Uruguay 3
## 16 Barbados 2
## 17 Belarus 2
## 21 Bhutan 2
## 37 Chile 2
## 39 Colombia 2
## 42 Cook Islands 2
## 60 Estonia 2
## 68 Georgia 2
## 100 Lesotho 2
## 103 Liechtenstein 2
## 143 Poland 2
## 159 Serbia 2
## 161 Sierra Leone 2
## 177 Tajikistan 2
## 196 Uzbekistan 2
## 7 Antigua and Barbuda 1
## 19 Belize 1
## 25 Brazil 1
## 46 Cuba 1
## 47 Cyprus 1
## 63 Fiji 1
## 64 Finland 1
## 71 Greece 1
## 81 Iceland 1
## 82 India 1
## 95 Kuwait 1
## 98 Latvia 1
## 105 Luxembourg 1
## 109 Maldives 1
## 114 Mauritius 1
## 127 Netherlands 1
## 128 New Zealand 1
## 133 North Macedonia 1
## 144 Portugal 1
## 146 South Korea 1
## 192 United Kingdom 1
## 194 United States 1
## 1 Afghanistan 0
## 3 Algeria 0
## 4 Andorra 0
## 5 Angola 0
## 6 Anguilla 0
## 8 Argentina 0
## 10 Australia 0
## 11 Austria 0
## 13 The Bahamas 0
## 15 Bangladesh 0
## 18 Belgium 0
## 23 Bosnia and Herzegovina 0
## 27 Brunei 0
## 34 Canada 0
## 35 Central African Republic 0
## 38 China 0
## 45 Croatia 0
## 48 Czech Republic 0
## 49 North Korea 0
## 50 Democratic Republic of the Congo 0
## 51 Denmark 0
## 55 Ecuador 0
## 56 Egypt 0
## 65 France 0
## 66 Gabon 0
## 69 Germany 0
## 70 Ghana 0
## 72 Grenada 0
## 75 Guinea0Bissau 0
## 76 Guyana 0
## 77 Haiti 0
## 78 Vatican City 0
## 84 Iran 0
## 85 Iraq 0
## 86 Republic of Ireland 0
## 87 Israel 0
## 89 Jamaica 0
## 90 Japan 0
## 93 Kenya 0
## 94 Kiribati 0
## 96 Kyrgyzstan 0
## 99 Lebanon 0
## 102 Libya 0
## 104 Lithuania 0
## 106 Madagascar 0
## 107 Malawi 0
## 108 Malaysia 0
## 111 Malta 0
## 115 Mexico 0
## 117 Monaco 0
## 123 Myanmar 0
## 124 Namibia 0
## 125 Nauru 0
## 126 Nepal 0
## 129 Nicaragua 0
## 131 Nigeria 0
## 132 Niue 0
## 134 Norway 0
## 135 Oman 0
## 136 Pakistan 0
## 137 Palau 0
## 140 Paraguay 0
## 141 Peru 0
## 145 Qatar 0
## 149 Russia 0
## 151 Saint Kitts and Nevis 0
## 152 Saint Lucia 0
## 153 Saint Vincent and the Grenadines 0
## 154 Samoa 0
## 155 San Marino 0
## 160 Seychelles 0
## 162 Singapore 0
## 164 Slovenia 0
## 166 Somalia 0
## 174 Sweden 0
## 175 Switzerland 0
## 178 Thailand 0
## 181 Tokelau 0
## 182 Tonga 0
## 183 Trinidad and Tobago 0
## 184 Tunisia 0
## 186 Turkmenistan 0
## 187 Turks and Caicos Islands 0
## 199 Vietnam 0
## 202 Zimbabwe 0#South Sudan menjadi negara yang paling mengkhawatirkan karena baik pria dan wanita, angka putus sekolahnya paling tinggi.
Mencari statistik deksriptif dari setiap peubah
summary (datafilter_sorted)## Countries.and.areas OOSR_Primary_Age_Male OOSR_Primary_Age_Female
## Length:202 Min. : 0.000 Min. : 0.000
## Class :character 1st Qu.: 0.000 1st Qu.: 0.000
## Mode :character Median : 1.000 Median : 1.000
## Mean : 5.282 Mean : 5.569
## 3rd Qu.: 6.000 3rd Qu.: 6.750
## Max. :58.000 Max. :67.000
## Completion_Rate_Primary_Male Completion_Rate_Primary_Female
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 37.50 Median : 33.00
## Mean : 41.72 Mean : 42.13
## 3rd Qu.: 87.50 3rd Qu.: 92.00
## Max. :100.00 Max. :100.00
## Completion_Rate_Lower_Secondary_Male Completion_Rate_Lower_Secondary_Female
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 18.50 Median : 12.00
## Mean : 32.74 Mean : 33.17
## 3rd Qu.: 64.75 3rd Qu.: 70.75
## Max. :100.00 Max. :100.00
## Completion_Rate_Upper_Secondary_Male Completion_Rate_Upper_Secondary_Female
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 9.50 Median : 5.50
## Mean : 22.68 Mean : 23.07
## 3rd Qu.: 40.00 3rd Qu.: 38.75
## Max. :100.00 Max. :100.00
## Primary_End_Proficiency_Reading Primary_End_Proficiency_Math
## Min. : 0.00 Min. : 0.00
## 1st Qu.: 0.00 1st Qu.: 0.00
## Median : 0.00 Median : 0.00
## Mean :10.72 Mean :10.38
## 3rd Qu.: 0.00 3rd Qu.: 0.00
## Max. :99.00 Max. :89.00
## Youth_15_24_Literacy_Rate_Male Youth_15_24_Literacy_Rate_Female
## Min. : 0.0 Min. : 0.00
## 1st Qu.: 0.0 1st Qu.: 0.00
## Median : 0.0 Median : 0.00
## Mean : 35.8 Mean : 35.08
## 3rd Qu.: 94.0 3rd Qu.: 96.75
## Max. :100.0 Max. :100.00
## Birth_Rate Gross_Primary_Education_Enrollment
## Min. : 0.00 Min. : 0.00
## 1st Qu.:10.36 1st Qu.: 97.20
## Median :17.55 Median :101.85
## Mean :18.91 Mean : 94.94
## 3rd Qu.:27.69 3rd Qu.:107.30
## Max. :46.08 Max. :142.50
## Gross_Tertiary_Education_Enrollment Unemployment_Rate
## Min. : 0.00 Min. : 0.000
## 1st Qu.: 9.00 1st Qu.: 2.303
## Median : 24.85 Median : 4.585
## Mean : 34.39 Mean : 6.000
## 3rd Qu.: 59.98 3rd Qu.: 8.655
## Max. :136.60 Max. :28.180#Fokus ke data pengangguran
summary (datafilter_sorted$Unemployment_Rate)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 0.000 2.303 4.585 6.000 8.655 28.180HISTOGRAM
#Menentukan rentang warna sesuai kebutuhan
colors <- c("darkgreen", "green", "orange", "yellow", "maroon", "red")
hist(datafilter_sorted$Unemployment_Rate, col = colors, main = "Distribusi Tingkat Pengangguran", xlab = "Unemployment Rate")
Membuat Peta Korelasi
library (ggplot2)## Warning: package 'ggplot2' was built under R version 4.3.2library (tidyverse)## Warning: package 'tidyverse' was built under R version 4.3.2## Warning: package 'tibble' was built under R version 4.3.2## Warning: package 'tidyr' was built under R version 4.3.2## Warning: package 'readr' was built under R version 4.3.2## Warning: package 'purrr' was built under R version 4.3.2## Warning: package 'dplyr' was built under R version 4.3.2## Warning: package 'forcats' was built under R version 4.3.2## Warning: package 'lubridate' was built under R version 4.3.2## ── Attaching core tidyverse packages ──────────────────────── tidyverse 2.0.0 ──
## ✔ dplyr 1.1.3 ✔ readr 2.1.4
## ✔ forcats 1.0.0 ✔ stringr 1.5.1
## ✔ lubridate 1.9.3 ✔ tibble 3.2.1
## ✔ purrr 1.0.2 ✔ tidyr 1.3.0
## ── Conflicts ────────────────────────────────────────── tidyverse_conflicts() ──
## ✖ dplyr::filter() masks stats::filter()
## ✖ dplyr::lag() masks stats::lag()
## ℹ Use the conflicted package (<http://conflicted.r-lib.org/>) to force all conflicts to become errorsworldmap <- read.csv ("C:/Users/Admin/Downloads/map.csv")
View (worldmap)
mapdata <- map_data ("world")
view (mapdata)
mapdata <- left_join(mapdata,worldmap, by="region")
View (mapdata)
mapdata1 <- mapdata %>% filter(!is.na(mapdata$Unemployment_Rate))
View (mapdata1)
map1 <-ggplot(mapdata1, aes( x = long, y = lat, group=group)) + geom_polygon(aes(fill = Unemployment_Rate), color = "black")
map1
map2 <- map1 + scale_fill_gradient(name = "Unemployment_Rate", low = "green", high = "red", na.value = "grey50")+ theme(axis.text.x = element_blank(), axis.text.y = element_blank(), axis.ticks = element_blank(), axis.title.y=element_blank(), axis.title.x=element_blank(), rect = element_blank())
map2
Melihat Korelasi tiap peubah
datanumeric <- datafilter_sorted [-1]
cor (datanumeric)## OOSR_Primary_Age_Male
## OOSR_Primary_Age_Male 1.000000000
## OOSR_Primary_Age_Female 0.964159885
## Completion_Rate_Primary_Male -0.002112190
## Completion_Rate_Primary_Female -0.019831714
## Completion_Rate_Lower_Secondary_Male -0.033827961
## Completion_Rate_Lower_Secondary_Female -0.064618306
## Completion_Rate_Upper_Secondary_Male -0.062728487
## Completion_Rate_Upper_Secondary_Female -0.086033128
## Primary_End_Proficiency_Reading -0.050653787
## Primary_End_Proficiency_Math -0.073999117
## Youth_15_24_Literacy_Rate_Male 0.018375088
## Youth_15_24_Literacy_Rate_Female 0.005536978
## Birth_Rate 0.388389879
## Gross_Primary_Education_Enrollment -0.179301832
## Gross_Tertiary_Education_Enrollment -0.293257832
## Unemployment_Rate 0.074099642
## OOSR_Primary_Age_Female
## OOSR_Primary_Age_Male 0.9641598853
## OOSR_Primary_Age_Female 1.0000000000
## Completion_Rate_Primary_Male -0.0002400039
## Completion_Rate_Primary_Female -0.0274132823
## Completion_Rate_Lower_Secondary_Male -0.0387766681
## Completion_Rate_Lower_Secondary_Female -0.0792457259
## Completion_Rate_Upper_Secondary_Male -0.0667952014
## Completion_Rate_Upper_Secondary_Female -0.0985408347
## Primary_End_Proficiency_Reading -0.0651028239
## Primary_End_Proficiency_Math -0.0898937666
## Youth_15_24_Literacy_Rate_Male 0.0345649063
## Youth_15_24_Literacy_Rate_Female 0.0144470403
## Birth_Rate 0.4134714732
## Gross_Primary_Education_Enrollment -0.1844397889
## Gross_Tertiary_Education_Enrollment -0.2993938641
## Unemployment_Rate 0.0489775417
## Completion_Rate_Primary_Male
## OOSR_Primary_Age_Male -0.0021121897
## OOSR_Primary_Age_Female -0.0002400039
## Completion_Rate_Primary_Male 1.0000000000
## Completion_Rate_Primary_Female 0.9936178711
## Completion_Rate_Lower_Secondary_Male 0.9633616566
## Completion_Rate_Lower_Secondary_Female 0.9563835034
## Completion_Rate_Upper_Secondary_Male 0.8826761002
## Completion_Rate_Upper_Secondary_Female 0.8725170920
## Primary_End_Proficiency_Reading 0.0619087063
## Primary_End_Proficiency_Math 0.1402793633
## Youth_15_24_Literacy_Rate_Male 0.2562156536
## Youth_15_24_Literacy_Rate_Female 0.2529268423
## Birth_Rate 0.2959211085
## Gross_Primary_Education_Enrollment 0.1705648619
## Gross_Tertiary_Education_Enrollment -0.1785788936
## Unemployment_Rate 0.2776634562
## Completion_Rate_Primary_Female
## OOSR_Primary_Age_Male -0.01983171
## OOSR_Primary_Age_Female -0.02741328
## Completion_Rate_Primary_Male 0.99361787
## Completion_Rate_Primary_Female 1.00000000
## Completion_Rate_Lower_Secondary_Male 0.95426422
## Completion_Rate_Lower_Secondary_Female 0.95894525
## Completion_Rate_Upper_Secondary_Male 0.87296549
## Completion_Rate_Upper_Secondary_Female 0.87134830
## Primary_End_Proficiency_Reading 0.06586480
## Primary_End_Proficiency_Math 0.14053149
## Youth_15_24_Literacy_Rate_Male 0.26216771
## Youth_15_24_Literacy_Rate_Female 0.26414776
## Birth_Rate 0.27243709
## Gross_Primary_Education_Enrollment 0.17707648
## Gross_Tertiary_Education_Enrollment -0.17310735
## Unemployment_Rate 0.28127178
## Completion_Rate_Lower_Secondary_Male
## OOSR_Primary_Age_Male -0.03382796
## OOSR_Primary_Age_Female -0.03877667
## Completion_Rate_Primary_Male 0.96336166
## Completion_Rate_Primary_Female 0.95426422
## Completion_Rate_Lower_Secondary_Male 1.00000000
## Completion_Rate_Lower_Secondary_Female 0.98860871
## Completion_Rate_Upper_Secondary_Male 0.95092448
## Completion_Rate_Upper_Secondary_Female 0.94125216
## Primary_End_Proficiency_Reading 0.06977808
## Primary_End_Proficiency_Math 0.17175978
## Youth_15_24_Literacy_Rate_Male 0.22277042
## Youth_15_24_Literacy_Rate_Female 0.22381699
## Birth_Rate 0.16564602
## Gross_Primary_Education_Enrollment 0.11706125
## Gross_Tertiary_Education_Enrollment -0.08202409
## Unemployment_Rate 0.28556361
## Completion_Rate_Lower_Secondary_Female
## OOSR_Primary_Age_Male -0.06461831
## OOSR_Primary_Age_Female -0.07924573
## Completion_Rate_Primary_Male 0.95638350
## Completion_Rate_Primary_Female 0.95894525
## Completion_Rate_Lower_Secondary_Male 0.98860871
## Completion_Rate_Lower_Secondary_Female 1.00000000
## Completion_Rate_Upper_Secondary_Male 0.93977291
## Completion_Rate_Upper_Secondary_Female 0.95033641
## Primary_End_Proficiency_Reading 0.07430513
## Primary_End_Proficiency_Math 0.17258846
## Youth_15_24_Literacy_Rate_Male 0.23033919
## Youth_15_24_Literacy_Rate_Female 0.23740686
## Birth_Rate 0.11241027
## Gross_Primary_Education_Enrollment 0.11715808
## Gross_Tertiary_Education_Enrollment -0.05951230
## Unemployment_Rate 0.29718105
## Completion_Rate_Upper_Secondary_Male
## OOSR_Primary_Age_Male -0.062728487
## OOSR_Primary_Age_Female -0.066795201
## Completion_Rate_Primary_Male 0.882676100
## Completion_Rate_Primary_Female 0.872965487
## Completion_Rate_Lower_Secondary_Male 0.950924479
## Completion_Rate_Lower_Secondary_Female 0.939772914
## Completion_Rate_Upper_Secondary_Male 1.000000000
## Completion_Rate_Upper_Secondary_Female 0.980651675
## Primary_End_Proficiency_Reading 0.093928705
## Primary_End_Proficiency_Math 0.182501798
## Youth_15_24_Literacy_Rate_Male 0.171520100
## Youth_15_24_Literacy_Rate_Female 0.174374630
## Birth_Rate 0.075624466
## Gross_Primary_Education_Enrollment 0.070049381
## Gross_Tertiary_Education_Enrollment 0.004150712
## Unemployment_Rate 0.267682621
## Completion_Rate_Upper_Secondary_Female
## OOSR_Primary_Age_Male -0.086033128
## OOSR_Primary_Age_Female -0.098540835
## Completion_Rate_Primary_Male 0.872517092
## Completion_Rate_Primary_Female 0.871348300
## Completion_Rate_Lower_Secondary_Male 0.941252163
## Completion_Rate_Lower_Secondary_Female 0.950336408
## Completion_Rate_Upper_Secondary_Male 0.980651675
## Completion_Rate_Upper_Secondary_Female 1.000000000
## Primary_End_Proficiency_Reading 0.089381020
## Primary_End_Proficiency_Math 0.177774073
## Youth_15_24_Literacy_Rate_Male 0.180083158
## Youth_15_24_Literacy_Rate_Female 0.188219565
## Birth_Rate 0.005722401
## Gross_Primary_Education_Enrollment 0.064669887
## Gross_Tertiary_Education_Enrollment 0.037309765
## Unemployment_Rate 0.285200611
## Primary_End_Proficiency_Reading
## OOSR_Primary_Age_Male -0.05065379
## OOSR_Primary_Age_Female -0.06510282
## Completion_Rate_Primary_Male 0.06190871
## Completion_Rate_Primary_Female 0.06586480
## Completion_Rate_Lower_Secondary_Male 0.06977808
## Completion_Rate_Lower_Secondary_Female 0.07430513
## Completion_Rate_Upper_Secondary_Male 0.09392871
## Completion_Rate_Upper_Secondary_Female 0.08938102
## Primary_End_Proficiency_Reading 1.00000000
## Primary_End_Proficiency_Math 0.77369775
## Youth_15_24_Literacy_Rate_Male 0.12447763
## Youth_15_24_Literacy_Rate_Female 0.12744336
## Birth_Rate -0.09776981
## Gross_Primary_Education_Enrollment 0.13971682
## Gross_Tertiary_Education_Enrollment 0.23525406
## Unemployment_Rate -0.01451039
## Primary_End_Proficiency_Math
## OOSR_Primary_Age_Male -0.07399912
## OOSR_Primary_Age_Female -0.08989377
## Completion_Rate_Primary_Male 0.14027936
## Completion_Rate_Primary_Female 0.14053149
## Completion_Rate_Lower_Secondary_Male 0.17175978
## Completion_Rate_Lower_Secondary_Female 0.17258846
## Completion_Rate_Upper_Secondary_Male 0.18250180
## Completion_Rate_Upper_Secondary_Female 0.17777407
## Primary_End_Proficiency_Reading 0.77369775
## Primary_End_Proficiency_Math 1.00000000
## Youth_15_24_Literacy_Rate_Male 0.09074795
## Youth_15_24_Literacy_Rate_Female 0.09607638
## Birth_Rate -0.12552200
## Gross_Primary_Education_Enrollment 0.13575034
## Gross_Tertiary_Education_Enrollment 0.31098733
## Unemployment_Rate 0.06150706
## Youth_15_24_Literacy_Rate_Male
## OOSR_Primary_Age_Male 0.01837509
## OOSR_Primary_Age_Female 0.03456491
## Completion_Rate_Primary_Male 0.25621565
## Completion_Rate_Primary_Female 0.26216771
## Completion_Rate_Lower_Secondary_Male 0.22277042
## Completion_Rate_Lower_Secondary_Female 0.23033919
## Completion_Rate_Upper_Secondary_Male 0.17152010
## Completion_Rate_Upper_Secondary_Female 0.18008316
## Primary_End_Proficiency_Reading 0.12447763
## Primary_End_Proficiency_Math 0.09074795
## Youth_15_24_Literacy_Rate_Male 1.00000000
## Youth_15_24_Literacy_Rate_Female 0.99676624
## Birth_Rate 0.11681564
## Gross_Primary_Education_Enrollment 0.17660075
## Gross_Tertiary_Education_Enrollment 0.02850087
## Unemployment_Rate 0.05201277
## Youth_15_24_Literacy_Rate_Female
## OOSR_Primary_Age_Male 0.005536978
## OOSR_Primary_Age_Female 0.014447040
## Completion_Rate_Primary_Male 0.252926842
## Completion_Rate_Primary_Female 0.264147762
## Completion_Rate_Lower_Secondary_Male 0.223816985
## Completion_Rate_Lower_Secondary_Female 0.237406857
## Completion_Rate_Upper_Secondary_Male 0.174374630
## Completion_Rate_Upper_Secondary_Female 0.188219565
## Primary_End_Proficiency_Reading 0.127443362
## Primary_End_Proficiency_Math 0.096076380
## Youth_15_24_Literacy_Rate_Male 0.996766240
## Youth_15_24_Literacy_Rate_Female 1.000000000
## Birth_Rate 0.087788156
## Gross_Primary_Education_Enrollment 0.176926538
## Gross_Tertiary_Education_Enrollment 0.043842339
## Unemployment_Rate 0.055326388
## Birth_Rate
## OOSR_Primary_Age_Male 0.388389879
## OOSR_Primary_Age_Female 0.413471473
## Completion_Rate_Primary_Male 0.295921109
## Completion_Rate_Primary_Female 0.272437088
## Completion_Rate_Lower_Secondary_Male 0.165646020
## Completion_Rate_Lower_Secondary_Female 0.112410272
## Completion_Rate_Upper_Secondary_Male 0.075624466
## Completion_Rate_Upper_Secondary_Female 0.005722401
## Primary_End_Proficiency_Reading -0.097769811
## Primary_End_Proficiency_Math -0.125522000
## Youth_15_24_Literacy_Rate_Male 0.116815644
## Youth_15_24_Literacy_Rate_Female 0.087788156
## Birth_Rate 1.000000000
## Gross_Primary_Education_Enrollment 0.395862028
## Gross_Tertiary_Education_Enrollment -0.454774620
## Unemployment_Rate 0.143130059
## Gross_Primary_Education_Enrollment
## OOSR_Primary_Age_Male -0.17930183
## OOSR_Primary_Age_Female -0.18443979
## Completion_Rate_Primary_Male 0.17056486
## Completion_Rate_Primary_Female 0.17707648
## Completion_Rate_Lower_Secondary_Male 0.11706125
## Completion_Rate_Lower_Secondary_Female 0.11715808
## Completion_Rate_Upper_Secondary_Male 0.07004938
## Completion_Rate_Upper_Secondary_Female 0.06466989
## Primary_End_Proficiency_Reading 0.13971682
## Primary_End_Proficiency_Math 0.13575034
## Youth_15_24_Literacy_Rate_Male 0.17660075
## Youth_15_24_Literacy_Rate_Female 0.17692654
## Birth_Rate 0.39586203
## Gross_Primary_Education_Enrollment 1.00000000
## Gross_Tertiary_Education_Enrollment 0.28395898
## Unemployment_Rate 0.21546424
## Gross_Tertiary_Education_Enrollment
## OOSR_Primary_Age_Male -0.293257832
## OOSR_Primary_Age_Female -0.299393864
## Completion_Rate_Primary_Male -0.178578894
## Completion_Rate_Primary_Female -0.173107351
## Completion_Rate_Lower_Secondary_Male -0.082024086
## Completion_Rate_Lower_Secondary_Female -0.059512298
## Completion_Rate_Upper_Secondary_Male 0.004150712
## Completion_Rate_Upper_Secondary_Female 0.037309765
## Primary_End_Proficiency_Reading 0.235254062
## Primary_End_Proficiency_Math 0.310987329
## Youth_15_24_Literacy_Rate_Male 0.028500870
## Youth_15_24_Literacy_Rate_Female 0.043842339
## Birth_Rate -0.454774620
## Gross_Primary_Education_Enrollment 0.283958983
## Gross_Tertiary_Education_Enrollment 1.000000000
## Unemployment_Rate 0.140701806
## Unemployment_Rate
## OOSR_Primary_Age_Male 0.07409964
## OOSR_Primary_Age_Female 0.04897754
## Completion_Rate_Primary_Male 0.27766346
## Completion_Rate_Primary_Female 0.28127178
## Completion_Rate_Lower_Secondary_Male 0.28556361
## Completion_Rate_Lower_Secondary_Female 0.29718105
## Completion_Rate_Upper_Secondary_Male 0.26768262
## Completion_Rate_Upper_Secondary_Female 0.28520061
## Primary_End_Proficiency_Reading -0.01451039
## Primary_End_Proficiency_Math 0.06150706
## Youth_15_24_Literacy_Rate_Male 0.05201277
## Youth_15_24_Literacy_Rate_Female 0.05532639
## Birth_Rate 0.14313006
## Gross_Primary_Education_Enrollment 0.21546424
## Gross_Tertiary_Education_Enrollment 0.14070181
## Unemployment_Rate 1.00000000library(ggplot2)
library(reshape2)## Warning: package 'reshape2' was built under R version 4.3.2##
## Attaching package: 'reshape2'## The following object is masked from 'package:tidyr':
##
## smithscor_matrix <- cor(datanumeric)
melt_cor <- melt(cor_matrix)
ggplot(melt_cor, aes(Var1, Var2, fill = value)) + geom_tile(color = "white") +
scale_fill_gradient2(low = "green", mid = "blue", high = "red", midpoint = 0, name = "Korelasi", limits = c(-1, 1)) +
labs(title = "Korelasi", x = "Peubah", y = "Peubah") +
theme_minimal()
Melihat Hubungan Tingkat Pengangguran dengan Birth-Rate
Korelasi
cor(datafilter_sorted$Birth_Rate, datafilter_sorted$Unemployment_Rate)## [1] 0.1431301#Ternyata menunjukkan korelasi positif yang kecil, sehingga angka kelahiran dengan jumlah pengangguran saling mempengaruhi walau pengaruhnya kecil.
Scatter plot
plot(datafilter_sorted$Birth_Rate, datafilter_sorted$Unemployment_Rate, main = "Hubungan Tingkat Pengangguran dan Parameter Lain", xlab = "Birth Rate", ylab = "Unemployment Rate")
lm_model <- lm( Unemployment_Rate ~ Birth_Rate, data = datafilter_sorted)
abline(lm_model, col = "purple")
# Membandingkan Gross Primary dan Tersier
data_enrollment <- datafilter_sorted[, c("Gross_Primary_Education_Enrollment", "Gross_Tertiary_Education_Enrollment")]
boxplot(data_enrollment,
col = c("blue", "red"), # Warna boxplot untuk setiap variabel
names = c("Primary Education", "Tertiary Education"), # Nama variabel di sumbu x
main = "Perbandingan Boxplot Gross Enrollment",
ylab = "Frequency")
#Dapat dilihat bahwa terjadi penurununan antara primary education dan
tertiary education dari data keseluruhan negara. Hal ini mengindikasikan
bahwa belum terjadi pemerataan pendidikan di setiap negara.
Melihat sebaran angka lulus pendidikan Pria dan wanita di setiap negara.
MALE
datamale <- datafilter_sorted [, c("Completion_Rate_Primary_Male", "Completion_Rate_Lower_Secondary_Male", "Completion_Rate_Upper_Secondary_Male")]
boxplot(datamale,
col = c("red","yellow", "green"), # Warna boxplot untuk setiap variabel
names = c("Primary", "Secondary", "Upper Secondary"), # Nama variabel di sumbu x
main = "Perbandingan Tingkat Lulus Pria",
ylab = "Frequency")
# FEMALE
datafemale <- datafilter_sorted [, c("Completion_Rate_Primary_Female", "Completion_Rate_Lower_Secondary_Female", "Completion_Rate_Upper_Secondary_Female")]
boxplot(datafemale,
col = c("red","yellow", "green"), # Warna boxplot untuk setiap variabel
names = c("Primary", "Lower Secondary","UpperSecondary"), # Nama variabel di sumbu x
main = "Perbandingan Tingkat Lulus Wanita",
ylab = "Frequency")
Head to Head of 2 Boxplots
par(mfrow = c(1, 2))
boxplot(datamale,
col = c("red", "yellow", "green"),
names = c("Primary", "Lower", "Upper"),
main = "Perbandingan Tingkat Lulus Pria",
ylab = "Frequency")
boxplot(datafemale,
col = c("red", "yellow", "green"),
names = c("Primary", "Lower", "Upper"),
main = "Perbandingan Tingkat Lulus Wanita",
ylab = "Frequency")
par(mfrow = c(1, 1))#Dari data kita dapat melihat bahwa tingkat lulus wanita lebih tinggi sedikit daripada Pria disetiap negara, hal ini mengindikasikan bahwa dari data, wanita lebih cenderung menyelesaikan studynya dibandingkan pria.
Melihat hubungan Lulus SD dengan Tingkat Kemampuannya
Pria Membaca
plot(datafilter_sorted$Completion_Rate_Primary_Male, datafilter_sorted$Primary_End_Proficiency_Reading, main = "Hubungan Lulus SD dengan Kemampuan membaca", xlab = "Complete Primary", ylab = "Proficieny Reading")
#Ada beberapa negara yang walau complete primarynya 0 , tetapi tingkat membacanya sangat tinggi, hal ini menjadi kontras lagi apabila kita melihat banyak negara yang complete primarynya tinggi namun tinggat membacanya tidak selaras.
Lihat Negara-Negara yang Complete Primary 0 tetapi Tingkat Kemampuan Membacanya tinggi
selected_data <- Datafilter[Datafilter$Completion_Rate_Primary_Male == 0 &
Datafilter$Primary_End_Proficiency_Reading > 80, ]
# Menampilkan hasil
selected_data## Countries.and.areas OOSR_Primary_Age_Male OOSR_Primary_Age_Female
## 11 Austria 0 0
## 12 Azerbaijan 10 7
## 28 Bulgaria 13 13
## 65 France 0 0
## 69 Germany 1 0
## 80 Hungary 4 5
## 104 Lithuania 0 0
## 114 Mauritius 3 1
## 149 Russia 1 0
## 163 Slovakia 5 4
## Completion_Rate_Primary_Male Completion_Rate_Primary_Female
## 11 0 0
## 12 0 0
## 28 0 0
## 65 0 0
## 69 0 0
## 80 0 0
## 104 0 0
## 114 0 0
## 149 0 0
## 163 0 0
## Completion_Rate_Lower_Secondary_Male Completion_Rate_Lower_Secondary_Female
## 11 0 0
## 12 0 0
## 28 0 0
## 65 0 0
## 69 0 0
## 80 0 0
## 104 0 0
## 114 0 0
## 149 0 0
## 163 0 0
## Completion_Rate_Upper_Secondary_Male Completion_Rate_Upper_Secondary_Female
## 11 0 0
## 12 0 0
## 28 0 0
## 65 0 0
## 69 0 0
## 80 0 0
## 104 0 0
## 114 0 0
## 149 0 0
## 163 0 0
## Primary_End_Proficiency_Reading Primary_End_Proficiency_Math
## 11 98 0
## 12 81 0
## 28 95 75
## 65 94 58
## 69 95 77
## 80 97 75
## 104 97 81
## 114 88 78
## 149 99 89
## 163 93 65
## Youth_15_24_Literacy_Rate_Male Youth_15_24_Literacy_Rate_Female Birth_Rate
## 11 0 0 9.7
## 12 0 0 14.0
## 28 0 0 8.9
## 65 0 0 11.3
## 69 0 0 9.5
## 80 0 0 9.6
## 104 0 0 10.0
## 114 99 99 10.2
## 149 100 100 11.5
## 163 0 0 10.6
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## 11 103.1 85.1
## 12 99.7 27.7
## 28 89.3 71.0
## 65 102.5 65.6
## 69 104.0 70.2
## 80 100.8 48.5
## 104 103.9 72.4
## 114 101.1 40.6
## 149 102.6 81.9
## 163 98.7 46.6
## Unemployment_Rate
## 11 4.67
## 12 5.51
## 28 4.34
## 65 8.43
## 69 3.04
## 80 3.40
## 104 6.35
## 114 6.67
## 149 4.59
## 163 5.56View(selected_data)#Terdapat 10 Negara yang walau tingkat lulus SD Prianya 0 , tapi kemampuan membacanya tinggi. Hal ini patut diapreasiasi karena tingkat membaca adalah modal awal dalam melanjutkan jenjang berikutnya
pria matematika
plot(datafilter_sorted$Completion_Rate_Primary_Male, datafilter_sorted$Primary_End_Proficiency_Math, main = "Hubungan Lulus SD dengan Kemampuan Matematika", xlab = "Complete Primary", ylab = "Proficieny Math")
#Ada beberapa negara yang walau complete primarynya 0 , tetapi tingkat
kemampuan matematika sangat tinggi, hal ini menjadi kontras lagi apabila
kita melihat banyak negara yang complete primarynya tinggi namun tingkat
kemampuan matematikanya tidak selaras.
Lihat Negara yang complet priamrnya diatas 80 , tapi tingkat kemampuan matematikanya 0
selected_datamath <- Datafilter[Datafilter$Completion_Rate_Primary_Male > 80 &
Datafilter$Primary_End_Proficiency_Math == 0 , ]
# Menampilkan hasil
selected_datamath## Countries.and.areas OOSR_Primary_Age_Male
## 2 Albania 6
## 3 Algeria 0
## 16 Barbados 1
## 17 Belarus 1
## 19 Belize 1
## 23 Bosnia and Herzegovina 0
## 38 China 0
## 46 Cuba 1
## 49 North Korea 0
## 56 Egypt 0
## 57 El Salvador 14
## 68 Georgia 2
## 76 Guyana 0
## 83 Indonesia 3
## 89 Jamaica 0
## 91 Jordan 18
## 94 Kiribati 0
## 97 Laos 8
## 118 Mongolia 2
## 119 Montenegro 3
## 123 Myanmar 0
## 126 Nepal 0
## 133 North Macedonia 1
## 142 Philippines 3
## 147 Moldova 9
## 152 Saint Lucia 3
## 170 Sri Lanka 2
## 171 Palestinian National Authority 3
## 177 Tajikistan 1
## 178 Thailand 0
## 182 Tonga 0
## 184 Tunisia 0
## 186 Turkmenistan 0
## 190 Ukraine 9
## 202 Zimbabwe 0
## OOSR_Primary_Age_Female Completion_Rate_Primary_Male
## 2 3 94
## 3 0 93
## 16 2 99
## 17 2 100
## 19 1 95
## 23 0 99
## 38 0 97
## 46 1 100
## 49 0 100
## 56 0 91
## 57 13 84
## 68 2 100
## 76 0 96
## 83 8 91
## 89 0 99
## 91 19 96
## 94 0 92
## 97 9 84
## 118 3 96
## 119 3 95
## 123 0 82
## 126 0 81
## 133 1 97
## 142 3 89
## 147 11 99
## 152 0 99
## 170 3 99
## 171 3 99
## 177 2 99
## 178 0 98
## 182 0 98
## 184 0 94
## 186 0 100
## 190 7 100
## 202 0 86
## Completion_Rate_Primary_Female Completion_Rate_Lower_Secondary_Male
## 2 96 98
## 3 93 49
## 16 99 98
## 17 100 100
## 19 96 55
## 23 100 97
## 38 97 93
## 46 98 95
## 49 100 100
## 56 92 79
## 57 89 73
## 68 100 98
## 76 99 80
## 83 92 64
## 89 100 97
## 91 97 86
## 94 96 69
## 97 83 54
## 118 98 87
## 119 98 93
## 123 84 45
## 126 83 71
## 133 100 93
## 142 95 75
## 147 99 95
## 152 99 85
## 170 99 94
## 171 100 80
## 177 98 95
## 178 99 81
## 182 99 65
## 184 97 68
## 186 100 99
## 190 99 100
## 202 92 45
## Completion_Rate_Lower_Secondary_Female Completion_Rate_Upper_Secondary_Male
## 2 97 76
## 3 65 22
## 16 98 91
## 17 100 91
## 19 66 48
## 23 97 92
## 38 93 63
## 46 98 85
## 49 100 100
## 56 81 43
## 57 74 34
## 68 98 79
## 76 88 49
## 83 59 40
## 89 97 80
## 91 88 49
## 94 88 13
## 97 53 32
## 118 93 60
## 119 97 83
## 123 45 14
## 126 75 27
## 133 95 86
## 142 88 74
## 147 98 63
## 152 98 70
## 170 96 32
## 171 93 52
## 177 93 80
## 178 92 59
## 182 76 45
## 184 80 40
## 186 100 93
## 190 100 97
## 202 53 17
## Completion_Rate_Upper_Secondary_Female Primary_End_Proficiency_Reading
## 2 80 0
## 3 37 0
## 16 97 0
## 17 94 0
## 19 51 0
## 23 92 0
## 38 67 0
## 46 86 0
## 49 100 0
## 56 41 0
## 57 36 0
## 68 83 0
## 76 64 0
## 83 37 0
## 89 83 0
## 91 63 0
## 94 20 0
## 97 31 0
## 118 73 0
## 119 90 0
## 123 19 0
## 126 28 0
## 133 79 0
## 142 83 0
## 147 71 0
## 152 90 0
## 170 43 0
## 171 73 0
## 177 63 0
## 178 72 0
## 182 56 0
## 184 57 0
## 186 95 0
## 190 97 0
## 202 14 0
## Primary_End_Proficiency_Math Youth_15_24_Literacy_Rate_Male
## 2 0 99
## 3 0 98
## 16 0 0
## 17 0 100
## 19 0 0
## 23 0 0
## 38 0 100
## 46 0 0
## 49 0 0
## 56 0 0
## 57 0 98
## 68 0 0
## 76 0 0
## 83 0 100
## 89 0 0
## 91 0 99
## 94 0 0
## 97 0 0
## 118 0 98
## 119 0 99
## 123 0 0
## 126 0 94
## 133 0 0
## 142 0 0
## 147 0 0
## 152 0 0
## 170 0 99
## 171 0 99
## 177 0 0
## 178 0 98
## 182 0 99
## 184 0 0
## 186 0 0
## 190 0 0
## 202 0 0
## Youth_15_24_Literacy_Rate_Female Birth_Rate
## 2 100 11.78
## 3 97 24.28
## 16 0 10.65
## 17 100 9.90
## 19 0 20.79
## 23 0 8.11
## 38 100 10.90
## 46 0 10.17
## 49 0 13.89
## 56 0 26.38
## 57 98 18.25
## 68 0 13.47
## 76 0 19.97
## 83 100 18.07
## 89 0 16.10
## 91 99 21.98
## 94 0 27.89
## 97 0 23.55
## 118 99 24.13
## 119 99 11.73
## 123 0 17.55
## 126 91 19.89
## 133 0 0.00
## 142 0 20.55
## 147 0 10.10
## 152 0 12.00
## 170 99 15.83
## 171 99 0.00
## 177 0 30.76
## 178 99 10.34
## 182 100 24.30
## 184 0 17.56
## 186 0 23.83
## 190 0 8.70
## 202 0 30.68
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## 2 107.0 55.0
## 3 109.9 51.4
## 16 99.4 65.4
## 17 100.5 87.4
## 19 111.7 24.7
## 23 0.0 23.3
## 38 100.2 50.6
## 46 101.9 41.4
## 49 112.8 27.0
## 56 106.3 35.2
## 57 94.8 29.4
## 68 98.6 63.9
## 76 97.8 11.6
## 83 106.4 36.3
## 89 91.0 27.1
## 91 81.5 34.4
## 94 101.3 0.0
## 97 102.4 15.0
## 118 104.0 65.6
## 119 100.0 56.1
## 123 112.3 18.8
## 126 142.1 12.4
## 133 0.0 0.0
## 142 107.5 35.5
## 147 90.6 39.8
## 152 102.6 14.1
## 170 100.2 19.6
## 171 0.0 0.0
## 177 100.9 31.3
## 178 99.8 49.3
## 182 116.3 6.4
## 184 115.4 31.7
## 186 88.4 8.0
## 190 99.0 82.7
## 202 109.9 10.0
## Unemployment_Rate
## 2 12.33
## 3 11.70
## 16 10.33
## 17 4.59
## 19 6.41
## 23 18.42
## 38 4.32
## 46 1.64
## 49 2.74
## 56 10.76
## 57 4.11
## 68 14.40
## 76 11.85
## 83 4.69
## 89 8.00
## 91 14.72
## 94 0.00
## 97 0.63
## 118 6.01
## 119 14.88
## 123 1.58
## 126 1.41
## 133 0.00
## 142 2.15
## 147 5.47
## 152 20.71
## 170 4.20
## 171 0.00
## 177 11.02
## 178 0.75
## 182 1.12
## 184 16.02
## 186 3.91
## 190 8.88
## 202 4.95#Terdapat 35 Negara yang walau tingkat Completion Primary (Pria) tinggi, tetapi kemampuan matematikanya 0, hal ini sangat kontradiktif dimana walau orang tersebut sudah lulus SD. Tapi kemampuannya sama saja dengan orang yang tidak mengikuti SD.
wanita membaca
plot(datafilter_sorted$Completion_Rate_Primary_Female, datafilter_sorted$Primary_End_Proficiency_Reading, main = "Hubungan Lulus SD dengan Kemampuan membaca", xlab = "Complete Primary", ylab = "Proficieny Reading")
#Ada beberapa negara yang walau complete primarynya 0 , tetapi tingkat
membacanya sangat tinggi, hal ini menjadi kontras lagi apabila kita
melihat banyak negara yang complete primarynya tinggi namun tinggat
membacanya tidak selaras.
Lihat Negara yang Complete Primarynya 0 , tapi tingkat membaca Tinggi
selected_dataF <- Datafilter[Datafilter$Completion_Rate_Primary_Female == 0 &
Datafilter$Primary_End_Proficiency_Reading > 80, ]
selected_dataF## Countries.and.areas OOSR_Primary_Age_Male OOSR_Primary_Age_Female
## 11 Austria 0 0
## 12 Azerbaijan 10 7
## 28 Bulgaria 13 13
## 65 France 0 0
## 69 Germany 1 0
## 80 Hungary 4 5
## 104 Lithuania 0 0
## 114 Mauritius 3 1
## 149 Russia 1 0
## 163 Slovakia 5 4
## Completion_Rate_Primary_Male Completion_Rate_Primary_Female
## 11 0 0
## 12 0 0
## 28 0 0
## 65 0 0
## 69 0 0
## 80 0 0
## 104 0 0
## 114 0 0
## 149 0 0
## 163 0 0
## Completion_Rate_Lower_Secondary_Male Completion_Rate_Lower_Secondary_Female
## 11 0 0
## 12 0 0
## 28 0 0
## 65 0 0
## 69 0 0
## 80 0 0
## 104 0 0
## 114 0 0
## 149 0 0
## 163 0 0
## Completion_Rate_Upper_Secondary_Male Completion_Rate_Upper_Secondary_Female
## 11 0 0
## 12 0 0
## 28 0 0
## 65 0 0
## 69 0 0
## 80 0 0
## 104 0 0
## 114 0 0
## 149 0 0
## 163 0 0
## Primary_End_Proficiency_Reading Primary_End_Proficiency_Math
## 11 98 0
## 12 81 0
## 28 95 75
## 65 94 58
## 69 95 77
## 80 97 75
## 104 97 81
## 114 88 78
## 149 99 89
## 163 93 65
## Youth_15_24_Literacy_Rate_Male Youth_15_24_Literacy_Rate_Female Birth_Rate
## 11 0 0 9.7
## 12 0 0 14.0
## 28 0 0 8.9
## 65 0 0 11.3
## 69 0 0 9.5
## 80 0 0 9.6
## 104 0 0 10.0
## 114 99 99 10.2
## 149 100 100 11.5
## 163 0 0 10.6
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## 11 103.1 85.1
## 12 99.7 27.7
## 28 89.3 71.0
## 65 102.5 65.6
## 69 104.0 70.2
## 80 100.8 48.5
## 104 103.9 72.4
## 114 101.1 40.6
## 149 102.6 81.9
## 163 98.7 46.6
## Unemployment_Rate
## 11 4.67
## 12 5.51
## 28 4.34
## 65 8.43
## 69 3.04
## 80 3.40
## 104 6.35
## 114 6.67
## 149 4.59
## 163 5.56#Terdapat 10 Negara yang walau tingkat lulus SD Wanitanya 0 , tapi kemampuan membacanya tinggi. Hal ini patut diapreasiasi karena tingkat membaca adalah modal awal dalam melanjutkan jenjang berikutnya
wanita matematika
plot(datafilter_sorted$Completion_Rate_Primary_Female, datafilter_sorted$Primary_End_Proficiency_Math, main = "Hubungan Lulus SD dengan Kemampuan Matematika", xlab = "Complete Primary", ylab = "Proficieny Math")
#Terdapat banyak negara yang complet primarynya tinggi namun tingkat
kemampuan matematikanya masih tergolong sangat rendah, sedangka ada pula
negara yang walau complet primarynya 0, namun kemampuan matematikanya
sangat tinggi
Lihat Negara yang complet primarnya diatas 80 , tapi tingkat kemampuan matematikanya 0
selected_datamathF <- Datafilter[Datafilter$Completion_Rate_Primary_Female > 80 &
Datafilter$Primary_End_Proficiency_Math == 0 , ]
selected_datamathF## Countries.and.areas OOSR_Primary_Age_Male
## 2 Albania 6
## 3 Algeria 0
## 16 Barbados 1
## 17 Belarus 1
## 19 Belize 1
## 23 Bosnia and Herzegovina 0
## 38 China 0
## 46 Cuba 1
## 49 North Korea 0
## 56 Egypt 0
## 57 El Salvador 14
## 68 Georgia 2
## 76 Guyana 0
## 83 Indonesia 3
## 89 Jamaica 0
## 91 Jordan 18
## 93 Kenya 0
## 94 Kiribati 0
## 97 Laos 8
## 100 Lesotho 3
## 118 Mongolia 2
## 119 Montenegro 3
## 123 Myanmar 0
## 126 Nepal 0
## 133 North Macedonia 1
## 142 Philippines 3
## 147 Moldova 9
## 152 Saint Lucia 3
## 156 S�������\xef\xbf 6
## 170 Sri Lanka 2
## 171 Palestinian National Authority 3
## 173 Suriname 14
## 177 Tajikistan 1
## 178 Thailand 0
## 179 East Timor 7
## 182 Tonga 0
## 184 Tunisia 0
## 186 Turkmenistan 0
## 190 Ukraine 9
## 193 Tanzania 15
## 202 Zimbabwe 0
## OOSR_Primary_Age_Female Completion_Rate_Primary_Male
## 2 3 94
## 3 0 93
## 16 2 99
## 17 2 100
## 19 1 95
## 23 0 99
## 38 0 97
## 46 1 100
## 49 0 100
## 56 0 91
## 57 13 84
## 68 2 100
## 76 0 96
## 83 8 91
## 89 0 99
## 91 19 96
## 93 0 77
## 94 0 92
## 97 9 84
## 100 2 69
## 118 3 96
## 119 3 95
## 123 0 82
## 126 0 81
## 133 1 97
## 142 3 89
## 147 11 99
## 152 0 99
## 156 6 79
## 170 3 99
## 171 3 99
## 173 11 80
## 177 2 99
## 178 0 98
## 179 3 77
## 182 0 98
## 184 0 94
## 186 0 100
## 190 7 100
## 193 12 75
## 202 0 86
## Completion_Rate_Primary_Female Completion_Rate_Lower_Secondary_Male
## 2 96 98
## 3 93 49
## 16 99 98
## 17 100 100
## 19 96 55
## 23 100 97
## 38 97 93
## 46 98 95
## 49 100 100
## 56 92 79
## 57 89 73
## 68 100 98
## 76 99 80
## 83 92 64
## 89 100 97
## 91 97 86
## 93 82 61
## 94 96 69
## 97 83 54
## 100 92 33
## 118 98 87
## 119 98 93
## 123 84 45
## 126 83 71
## 133 100 93
## 142 95 75
## 147 99 95
## 152 99 85
## 156 86 32
## 170 99 94
## 171 100 80
## 173 90 41
## 177 98 95
## 178 99 81
## 179 85 63
## 182 99 65
## 184 97 68
## 186 100 99
## 190 99 100
## 193 84 31
## 202 92 45
## Completion_Rate_Lower_Secondary_Female Completion_Rate_Upper_Secondary_Male
## 2 97 76
## 3 65 22
## 16 98 91
## 17 100 91
## 19 66 48
## 23 97 92
## 38 93 63
## 46 98 85
## 49 100 100
## 56 81 43
## 57 74 34
## 68 98 79
## 76 88 49
## 83 59 40
## 89 97 80
## 91 88 49
## 93 69 44
## 94 88 13
## 97 53 32
## 100 55 27
## 118 93 60
## 119 97 83
## 123 45 14
## 126 75 27
## 133 95 86
## 142 88 74
## 147 98 63
## 152 98 70
## 156 36 4
## 170 96 32
## 171 93 52
## 173 58 18
## 177 93 80
## 178 92 59
## 179 70 49
## 182 76 45
## 184 80 40
## 186 100 93
## 190 100 97
## 193 27 32
## 202 53 17
## Completion_Rate_Upper_Secondary_Female Primary_End_Proficiency_Reading
## 2 80 0
## 3 37 0
## 16 97 0
## 17 94 0
## 19 51 0
## 23 92 0
## 38 67 0
## 46 86 0
## 49 100 0
## 56 41 0
## 57 36 0
## 68 83 0
## 76 64 0
## 83 37 0
## 89 83 0
## 91 63 0
## 93 38 0
## 94 20 0
## 97 31 0
## 100 37 0
## 118 73 0
## 119 90 0
## 123 19 0
## 126 28 0
## 133 79 0
## 142 83 0
## 147 71 0
## 152 90 0
## 156 8 0
## 170 43 0
## 171 73 0
## 173 26 0
## 177 63 0
## 178 72 0
## 179 55 0
## 182 56 0
## 184 57 0
## 186 95 0
## 190 97 0
## 193 27 0
## 202 14 0
## Primary_End_Proficiency_Math Youth_15_24_Literacy_Rate_Male
## 2 0 99
## 3 0 98
## 16 0 0
## 17 0 100
## 19 0 0
## 23 0 0
## 38 0 100
## 46 0 0
## 49 0 0
## 56 0 0
## 57 0 98
## 68 0 0
## 76 0 0
## 83 0 100
## 89 0 0
## 91 0 99
## 93 0 88
## 94 0 0
## 97 0 0
## 100 0 0
## 118 0 98
## 119 0 99
## 123 0 0
## 126 0 94
## 133 0 0
## 142 0 0
## 147 0 0
## 152 0 0
## 156 0 98
## 170 0 99
## 171 0 99
## 173 0 99
## 177 0 0
## 178 0 98
## 179 0 82
## 182 0 99
## 184 0 0
## 186 0 0
## 190 0 0
## 193 0 0
## 202 0 0
## Youth_15_24_Literacy_Rate_Female Birth_Rate
## 2 100 11.78
## 3 97 24.28
## 16 0 10.65
## 17 100 9.90
## 19 0 20.79
## 23 0 8.11
## 38 100 10.90
## 46 0 10.17
## 49 0 13.89
## 56 0 26.38
## 57 98 18.25
## 68 0 13.47
## 76 0 19.97
## 83 100 18.07
## 89 0 16.10
## 91 99 21.98
## 93 88 28.75
## 94 0 27.89
## 97 0 23.55
## 100 0 26.81
## 118 99 24.13
## 119 99 11.73
## 123 0 17.55
## 126 91 19.89
## 133 0 0.00
## 142 0 20.55
## 147 0 10.10
## 152 0 12.00
## 156 98 31.54
## 170 99 15.83
## 171 99 0.00
## 173 98 18.54
## 177 0 30.76
## 178 99 10.34
## 179 85 29.42
## 182 100 24.30
## 184 0 17.56
## 186 0 23.83
## 190 0 8.70
## 193 0 36.70
## 202 0 30.68
## Gross_Primary_Education_Enrollment Gross_Tertiary_Education_Enrollment
## 2 107.0 55.0
## 3 109.9 51.4
## 16 99.4 65.4
## 17 100.5 87.4
## 19 111.7 24.7
## 23 0.0 23.3
## 38 100.2 50.6
## 46 101.9 41.4
## 49 112.8 27.0
## 56 106.3 35.2
## 57 94.8 29.4
## 68 98.6 63.9
## 76 97.8 11.6
## 83 106.4 36.3
## 89 91.0 27.1
## 91 81.5 34.4
## 93 103.2 11.5
## 94 101.3 0.0
## 97 102.4 15.0
## 100 120.9 10.2
## 118 104.0 65.6
## 119 100.0 56.1
## 123 112.3 18.8
## 126 142.1 12.4
## 133 0.0 0.0
## 142 107.5 35.5
## 147 90.6 39.8
## 152 102.6 14.1
## 156 106.8 13.4
## 170 100.2 19.6
## 171 0.0 0.0
## 173 108.8 12.6
## 177 100.9 31.3
## 178 99.8 49.3
## 179 115.3 17.8
## 182 116.3 6.4
## 184 115.4 31.7
## 186 88.4 8.0
## 190 99.0 82.7
## 193 94.2 4.0
## 202 109.9 10.0
## Unemployment_Rate
## 2 12.33
## 3 11.70
## 16 10.33
## 17 4.59
## 19 6.41
## 23 18.42
## 38 4.32
## 46 1.64
## 49 2.74
## 56 10.76
## 57 4.11
## 68 14.40
## 76 11.85
## 83 4.69
## 89 8.00
## 91 14.72
## 93 2.64
## 94 0.00
## 97 0.63
## 100 23.41
## 118 6.01
## 119 14.88
## 123 1.58
## 126 1.41
## 133 0.00
## 142 2.15
## 147 5.47
## 152 20.71
## 156 13.37
## 170 4.20
## 171 0.00
## 173 7.33
## 177 11.02
## 178 0.75
## 179 4.55
## 182 1.12
## 184 16.02
## 186 3.91
## 190 8.88
## 193 1.98
## 202 4.95#Terdapat 41 Negara yang walau tingkat Completion Primary (wanita) tinggi, tetapi kemampuan matematikanya 0, hal ini sangat kontradiktif dimana walau orang tersebut sudah lulus SD. Tapi kemampuannya sama saja dengan orang yang tidak mengikuti SD.
ANALISIS DESKRIPTIF beberapa peubah
mean(datafilter_sorted$Birth_Rate)## [1] 18.91401mean(datafilter_sorted$Unemployment_Rate)## [1] 6median(datafilter_sorted$Birth_Rate)## [1] 17.55median(datafilter_sorted$Unemployment_Rate)## [1] 4.585max(datafilter_sorted$Birth_Rate)## [1] 46.08max(datafilter_sorted$Unemployment_Rate)## [1] 28.18min(datafilter_sorted$Birth_Rate)## [1] 0min(datafilter_sorted$Unemployment_Rate)## [1] 0Struktur Dataframe
str(datafilter_sorted)## 'data.frame': 202 obs. of 17 variables:
## $ Countries.and.areas : chr "South Africa" "Lesotho" "Saint Lucia" "Namibia" ...
## $ OOSR_Primary_Age_Male : int 12 3 3 0 0 0 0 0 12 2 ...
## $ OOSR_Primary_Age_Female : int 10 2 0 0 0 0 0 0 10 1 ...
## $ Completion_Rate_Primary_Male : int 95 69 99 75 66 0 0 99 95 0 ...
## $ Completion_Rate_Primary_Female : int 98 92 99 86 75 0 0 100 98 0 ...
## $ Completion_Rate_Lower_Secondary_Male : int 85 33 85 48 32 0 0 97 92 0 ...
## $ Completion_Rate_Lower_Secondary_Female: int 91 55 98 62 33 0 0 97 92 0 ...
## $ Completion_Rate_Upper_Secondary_Male : int 45 27 70 33 14 0 0 92 55 0 ...
## $ Completion_Rate_Upper_Secondary_Female: int 52 37 90 39 14 0 0 92 66 0 ...
## $ Primary_End_Proficiency_Reading : int 0 0 0 35 0 0 0 0 0 0 ...
## $ Primary_End_Proficiency_Math : int 13 0 0 6 0 0 0 0 16 0 ...
## $ Youth_15_24_Literacy_Rate_Male : int 0 0 0 94 88 0 0 0 0 99 ...
## $ Youth_15_24_Literacy_Rate_Female : int 0 0 0 96 91 0 0 0 0 99 ...
## $ Birth_Rate : num 20.5 26.8 12 28.6 31.6 ...
## $ Gross_Primary_Education_Enrollment : num 101 121 103 124 140 ...
## $ Gross_Tertiary_Education_Enrollment : num 22.4 10.2 14.1 22.9 8.3 ...
## $ Unemployment_Rate : num 28.2 23.4 20.7 20.3 20 ...DONE!!!
nrow(datafilter_sorted)## [1] 202ncol (datafilter_sorted)## [1] 17dim (datafilter_sorted)## [1] 202 17#SESUAI