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Global Code;Global Name;Region Code;Region Name;Sub-region Code;Sub-region Name;Intermediate Region Code;Intermediate Region Name;Country or Area;M49 Code;ISO-alpha2 Code;ISO-alpha3 Code;Least Developed Countries (LDC);Land Locked Developing Countries (LLDC);Small Island Developing States (SIDS)
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001;World;002;Africa;015;Northern Africa;;;Algeria;012;DZ;DZA;;;
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001;World;002;Africa;015;Northern Africa;;;Egypt;818;EG;EGY;;;
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001;World;002;Africa;015;Northern Africa;;;Libya;434;LY;LBY;;;
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001;World;002;Africa;015;Northern Africa;;;Morocco;504;MA;MAR;;;
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001;World;002;Africa;015;Northern Africa;;;Sudan;729;SD;SDN;x;;
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001;World;002;Africa;015;Northern Africa;;;Tunisia;788;TN;TUN;;;
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001;World;002;Africa;015;Northern Africa;;;Western Sahara;732;EH;ESH;;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;British Indian Ocean Territory;086;IO;IOT;;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Burundi;108;BI;BDI;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Comoros;174;KM;COM;x;;x
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Djibouti;262;DJ;DJI;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Eritrea;232;ER;ERI;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Ethiopia;231;ET;ETH;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;French Southern Territories;260;TF;ATF;;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Kenya;404;KE;KEN;;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Madagascar;450;MG;MDG;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Malawi;454;MW;MWI;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Mauritius;480;MU;MUS;;;x
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Mayotte;175;YT;MYT;;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Mozambique;508;MZ;MOZ;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Réunion;638;RE;REU;;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Rwanda;646;RW;RWA;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Seychelles;690;SC;SYC;;;x
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Somalia;706;SO;SOM;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;South Sudan;728;SS;SSD;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Uganda;800;UG;UGA;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;United Republic of Tanzania;834;TZ;TZA;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Zambia;894;ZM;ZMB;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;014;Eastern Africa;Zimbabwe;716;ZW;ZWE;;x;
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||||||
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001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Angola;024;AO;AGO;x;;
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||||||
|
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Cameroon;120;CM;CMR;;;
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|
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Central African Republic;140;CF;CAF;x;x;
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||||||
|
001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Chad;148;TD;TCD;x;x;
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||||||
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001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Congo;178;CG;COG;;;
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001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Democratic Republic of the Congo;180;CD;COD;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Equatorial Guinea;226;GQ;GNQ;;;
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001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Gabon;266;GA;GAB;;;
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001;World;002;Africa;202;Sub-Saharan Africa;017;Middle Africa;Sao Tome and Principe;678;ST;STP;x;;x
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001;World;002;Africa;202;Sub-Saharan Africa;018;Southern Africa;Botswana;072;BW;BWA;;x;
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001;World;002;Africa;202;Sub-Saharan Africa;018;Southern Africa;Eswatini;748;SZ;SWZ;;x;
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001;World;002;Africa;202;Sub-Saharan Africa;018;Southern Africa;Lesotho;426;LS;LSO;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;018;Southern Africa;Namibia;516;NA;NAM;;;
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001;World;002;Africa;202;Sub-Saharan Africa;018;Southern Africa;South Africa;710;ZA;ZAF;;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Benin;204;BJ;BEN;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Burkina Faso;854;BF;BFA;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Cabo Verde;132;CV;CPV;;;x
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Côte d’Ivoire;384;CI;CIV;;;
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||||||
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Gambia;270;GM;GMB;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Ghana;288;GH;GHA;;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Guinea;324;GN;GIN;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Guinea-Bissau;624;GW;GNB;x;;x
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Liberia;430;LR;LBR;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Mali;466;ML;MLI;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Mauritania;478;MR;MRT;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Niger;562;NE;NER;x;x;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Nigeria;566;NG;NGA;;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Saint Helena;654;SH;SHN;;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Senegal;686;SN;SEN;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Sierra Leone;694;SL;SLE;x;;
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001;World;002;Africa;202;Sub-Saharan Africa;011;Western Africa;Togo;768;TG;TGO;x;;
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Anguilla;660;AI;AIA;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Antigua and Barbuda;028;AG;ATG;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Aruba;533;AW;ABW;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Bahamas;044;BS;BHS;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Barbados;052;BB;BRB;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Bonaire, Sint Eustatius and Saba;535;BQ;BES;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;British Virgin Islands;092;VG;VGB;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Cayman Islands;136;KY;CYM;;;
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Cuba;192;CU;CUB;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Curaçao;531;CW;CUW;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Dominica;212;DM;DMA;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Dominican Republic;214;DO;DOM;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Grenada;308;GD;GRD;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Guadeloupe;312;GP;GLP;;;
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Haiti;332;HT;HTI;x;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Jamaica;388;JM;JAM;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Martinique;474;MQ;MTQ;;;
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Montserrat;500;MS;MSR;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Puerto Rico;630;PR;PRI;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Saint Barthélemy;652;BL;BLM;;;
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Saint Kitts and Nevis;659;KN;KNA;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Saint Lucia;662;LC;LCA;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Saint Martin (French Part);663;MF;MAF;;;
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Saint Vincent and the Grenadines;670;VC;VCT;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Sint Maarten (Dutch part);534;SX;SXM;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Trinidad and Tobago;780;TT;TTO;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;Turks and Caicos Islands;796;TC;TCA;;;
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001;World;019;Americas;419;Latin America and the Caribbean;029;Caribbean;United States Virgin Islands;850;VI;VIR;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Belize;084;BZ;BLZ;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Costa Rica;188;CR;CRI;;;
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001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;El Salvador;222;SV;SLV;;;
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001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Guatemala;320;GT;GTM;;;
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001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Honduras;340;HN;HND;;;
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001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Mexico;484;MX;MEX;;;
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001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Nicaragua;558;NI;NIC;;;
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001;World;019;Americas;419;Latin America and the Caribbean;013;Central America;Panama;591;PA;PAN;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Argentina;032;AR;ARG;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Bolivia (Plurinational State of);068;BO;BOL;;x;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Bouvet Island;074;BV;BVT;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Brazil;076;BR;BRA;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Chile;152;CL;CHL;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Colombia;170;CO;COL;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Ecuador;218;EC;ECU;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Falkland Islands (Malvinas);238;FK;FLK;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;French Guiana;254;GF;GUF;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Guyana;328;GY;GUY;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Paraguay;600;PY;PRY;;x;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Peru;604;PE;PER;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;South Georgia and the South Sandwich Islands;239;GS;SGS;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Suriname;740;SR;SUR;;;x
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Uruguay;858;UY;URY;;;
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001;World;019;Americas;419;Latin America and the Caribbean;005;South America;Venezuela (Bolivarian Republic of);862;VE;VEN;;;
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001;World;019;Americas;021;Northern America;;;Bermuda;060;BM;BMU;;;
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001;World;019;Americas;021;Northern America;;;Canada;124;CA;CAN;;;
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001;World;019;Americas;021;Northern America;;;Greenland;304;GL;GRL;;;
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001;World;019;Americas;021;Northern America;;;Saint Pierre and Miquelon;666;PM;SPM;;;
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001;World;019;Americas;021;Northern America;;;United States of America;840;US;USA;;;
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001;World;;;;;;;Antarctica;010;AQ;ATA;;;
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001;World;142;Asia;143;Central Asia;;;Kazakhstan;398;KZ;KAZ;;x;
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001;World;142;Asia;143;Central Asia;;;Kyrgyzstan;417;KG;KGZ;;x;
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001;World;142;Asia;143;Central Asia;;;Tajikistan;762;TJ;TJK;;x;
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001;World;142;Asia;143;Central Asia;;;Turkmenistan;795;TM;TKM;;x;
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001;World;142;Asia;143;Central Asia;;;Uzbekistan;860;UZ;UZB;;x;
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001;World;142;Asia;030;Eastern Asia;;;China;156;CN;CHN;;;
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001;World;142;Asia;030;Eastern Asia;;;China, Hong Kong Special Administrative Region;344;HK;HKG;;;
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001;World;142;Asia;030;Eastern Asia;;;China, Macao Special Administrative Region;446;MO;MAC;;;
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001;World;142;Asia;030;Eastern Asia;;;Democratic People's Republic of Korea;408;KP;PRK;;;
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001;World;142;Asia;030;Eastern Asia;;;Japan;392;JP;JPN;;;
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001;World;142;Asia;030;Eastern Asia;;;Mongolia;496;MN;MNG;;x;
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001;World;142;Asia;030;Eastern Asia;;;Republic of Korea;410;KR;KOR;;;
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001;World;142;Asia;035;South-eastern Asia;;;Brunei Darussalam;096;BN;BRN;;;
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001;World;142;Asia;035;South-eastern Asia;;;Cambodia;116;KH;KHM;x;;
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001;World;142;Asia;035;South-eastern Asia;;;Indonesia;360;ID;IDN;;;
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001;World;142;Asia;035;South-eastern Asia;;;Lao People's Democratic Republic;418;LA;LAO;x;x;
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001;World;142;Asia;035;South-eastern Asia;;;Malaysia;458;MY;MYS;;;
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001;World;142;Asia;035;South-eastern Asia;;;Myanmar;104;MM;MMR;x;;
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001;World;142;Asia;035;South-eastern Asia;;;Philippines;608;PH;PHL;;;
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|
001;World;142;Asia;035;South-eastern Asia;;;Singapore;702;SG;SGP;;;x
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|
001;World;142;Asia;035;South-eastern Asia;;;Thailand;764;TH;THA;;;
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|
001;World;142;Asia;035;South-eastern Asia;;;Timor-Leste;626;TL;TLS;x;;x
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001;World;142;Asia;035;South-eastern Asia;;;Viet Nam;704;VN;VNM;;;
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001;World;142;Asia;034;Southern Asia;;;Afghanistan;004;AF;AFG;x;x;
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001;World;142;Asia;034;Southern Asia;;;Bangladesh;050;BD;BGD;x;;
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001;World;142;Asia;034;Southern Asia;;;Bhutan;064;BT;BTN;;x;
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001;World;142;Asia;034;Southern Asia;;;India;356;IN;IND;;;
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001;World;142;Asia;034;Southern Asia;;;Iran (Islamic Republic of);364;IR;IRN;;;
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001;World;142;Asia;034;Southern Asia;;;Maldives;462;MV;MDV;;;x
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001;World;142;Asia;034;Southern Asia;;;Nepal;524;NP;NPL;x;x;
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001;World;142;Asia;034;Southern Asia;;;Pakistan;586;PK;PAK;;;
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001;World;142;Asia;034;Southern Asia;;;Sri Lanka;144;LK;LKA;;;
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001;World;142;Asia;145;Western Asia;;;Armenia;051;AM;ARM;;x;
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001;World;142;Asia;145;Western Asia;;;Azerbaijan;031;AZ;AZE;;x;
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001;World;142;Asia;145;Western Asia;;;Bahrain;048;BH;BHR;;;
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001;World;142;Asia;145;Western Asia;;;Cyprus;196;CY;CYP;;;
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001;World;142;Asia;145;Western Asia;;;Georgia;268;GE;GEO;;;
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001;World;142;Asia;145;Western Asia;;;Iraq;368;IQ;IRQ;;;
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001;World;142;Asia;145;Western Asia;;;Israel;376;IL;ISR;;;
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001;World;142;Asia;145;Western Asia;;;Jordan;400;JO;JOR;;;
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001;World;142;Asia;145;Western Asia;;;Kuwait;414;KW;KWT;;;
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001;World;142;Asia;145;Western Asia;;;Lebanon;422;LB;LBN;;;
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001;World;142;Asia;145;Western Asia;;;Oman;512;OM;OMN;;;
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001;World;142;Asia;145;Western Asia;;;Qatar;634;QA;QAT;;;
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001;World;142;Asia;145;Western Asia;;;Saudi Arabia;682;SA;SAU;;;
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001;World;142;Asia;145;Western Asia;;;State of Palestine;275;PS;PSE;;;
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001;World;142;Asia;145;Western Asia;;;Syrian Arab Republic;760;SY;SYR;;;
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001;World;142;Asia;145;Western Asia;;;Türkiye;792;TR;TUR;;;
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001;World;142;Asia;145;Western Asia;;;United Arab Emirates;784;AE;ARE;;;
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001;World;142;Asia;145;Western Asia;;;Yemen;887;YE;YEM;x;;
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001;World;150;Europe;151;Eastern Europe;;;Belarus;112;BY;BLR;;;
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001;World;150;Europe;151;Eastern Europe;;;Bulgaria;100;BG;BGR;;;
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001;World;150;Europe;151;Eastern Europe;;;Czechia;203;CZ;CZE;;;
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001;World;150;Europe;151;Eastern Europe;;;Hungary;348;HU;HUN;;;
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001;World;150;Europe;151;Eastern Europe;;;Poland;616;PL;POL;;;
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001;World;150;Europe;151;Eastern Europe;;;Republic of Moldova;498;MD;MDA;;x;
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001;World;150;Europe;151;Eastern Europe;;;Romania;642;RO;ROU;;;
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001;World;150;Europe;151;Eastern Europe;;;Russian Federation;643;RU;RUS;;;
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001;World;150;Europe;151;Eastern Europe;;;Slovakia;703;SK;SVK;;;
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001;World;150;Europe;151;Eastern Europe;;;Ukraine;804;UA;UKR;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Åland Islands;248;AX;ALA;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Denmark;208;DK;DNK;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Estonia;233;EE;EST;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Faroe Islands;234;FO;FRO;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Finland;246;FI;FIN;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Guernsey;831;GG;GGY;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Iceland;352;IS;ISL;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Ireland;372;IE;IRL;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Isle of Man;833;IM;IMN;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Jersey;832;JE;JEY;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Latvia;428;LV;LVA;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Lithuania;440;LT;LTU;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Norway;578;NO;NOR;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Svalbard and Jan Mayen Islands;744;SJ;SJM;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;Sweden;752;SE;SWE;;;
|
||||||
|
001;World;150;Europe;154;Northern Europe;;;United Kingdom of Great Britain and Northern Ireland;826;GB;GBR;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Albania;008;AL;ALB;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Andorra;020;AD;AND;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Bosnia and Herzegovina;070;BA;BIH;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Croatia;191;HR;HRV;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Gibraltar;292;GI;GIB;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Greece;300;GR;GRC;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Holy See;336;VA;VAT;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Italy;380;IT;ITA;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Malta;470;MT;MLT;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Montenegro;499;ME;MNE;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;North Macedonia;807;MK;MKD;;x;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Portugal;620;PT;PRT;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;San Marino;674;SM;SMR;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Serbia;688;RS;SRB;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Slovenia;705;SI;SVN;;;
|
||||||
|
001;World;150;Europe;039;Southern Europe;;;Spain;724;ES;ESP;;;
|
||||||
|
001;World;150;Europe;155;Western Europe;;;Austria;040;AT;AUT;;;
|
||||||
|
001;World;150;Europe;155;Western Europe;;;Belgium;056;BE;BEL;;;
|
||||||
|
001;World;150;Europe;155;Western Europe;;;France;250;FR;FRA;;;
|
||||||
|
001;World;150;Europe;155;Western Europe;;;Germany;276;DE;DEU;;;
|
||||||
|
001;World;150;Europe;155;Western Europe;;;Liechtenstein;438;LI;LIE;;;
|
||||||
|
001;World;150;Europe;155;Western Europe;;;Luxembourg;442;LU;LUX;;;
|
||||||
|
001;World;150;Europe;155;Western Europe;;;Monaco;492;MC;MCO;;;
|
||||||
|
001;World;150;Europe;155;Western Europe;;;Netherlands (Kingdom of the);528;NL;NLD;;;
|
||||||
|
001;World;150;Europe;155;Western Europe;;;Switzerland;756;CH;CHE;;;
|
||||||
|
001;World;009;Oceania;053;Australia and New Zealand;;;Australia;036;AU;AUS;;;
|
||||||
|
001;World;009;Oceania;053;Australia and New Zealand;;;Christmas Island;162;CX;CXR;;;
|
||||||
|
001;World;009;Oceania;053;Australia and New Zealand;;;Cocos (Keeling) Islands;166;CC;CCK;;;
|
||||||
|
001;World;009;Oceania;053;Australia and New Zealand;;;Heard Island and McDonald Islands;334;HM;HMD;;;
|
||||||
|
001;World;009;Oceania;053;Australia and New Zealand;;;New Zealand;554;NZ;NZL;;;
|
||||||
|
001;World;009;Oceania;053;Australia and New Zealand;;;Norfolk Island;574;NF;NFK;;;
|
||||||
|
001;World;009;Oceania;054;Melanesia;;;Fiji;242;FJ;FJI;;;x
|
||||||
|
001;World;009;Oceania;054;Melanesia;;;New Caledonia;540;NC;NCL;;;x
|
||||||
|
001;World;009;Oceania;054;Melanesia;;;Papua New Guinea;598;PG;PNG;;;x
|
||||||
|
001;World;009;Oceania;054;Melanesia;;;Solomon Islands;090;SB;SLB;x;;x
|
||||||
|
001;World;009;Oceania;054;Melanesia;;;Vanuatu;548;VU;VUT;;;x
|
||||||
|
001;World;009;Oceania;057;Micronesia;;;Guam;316;GU;GUM;;;x
|
||||||
|
001;World;009;Oceania;057;Micronesia;;;Kiribati;296;KI;KIR;x;;x
|
||||||
|
001;World;009;Oceania;057;Micronesia;;;Marshall Islands;584;MH;MHL;;;x
|
||||||
|
001;World;009;Oceania;057;Micronesia;;;Micronesia (Federated States of);583;FM;FSM;;;x
|
||||||
|
001;World;009;Oceania;057;Micronesia;;;Nauru;520;NR;NRU;;;x
|
||||||
|
001;World;009;Oceania;057;Micronesia;;;Northern Mariana Islands;580;MP;MNP;;;x
|
||||||
|
001;World;009;Oceania;057;Micronesia;;;Palau;585;PW;PLW;;;x
|
||||||
|
001;World;009;Oceania;057;Micronesia;;;United States Minor Outlying Islands;581;UM;UMI;;;
|
||||||
|
001;World;009;Oceania;061;Polynesia;;;American Samoa;016;AS;ASM;;;x
|
||||||
|
001;World;009;Oceania;061;Polynesia;;;Cook Islands;184;CK;COK;;;x
|
||||||
|
001;World;009;Oceania;061;Polynesia;;;French Polynesia;258;PF;PYF;;;x
|
||||||
|
001;World;009;Oceania;061;Polynesia;;;Niue;570;NU;NIU;;;x
|
||||||
|
001;World;009;Oceania;061;Polynesia;;;Pitcairn;612;PN;PCN;;;
|
||||||
|
001;World;009;Oceania;061;Polynesia;;;Samoa;882;WS;WSM;;;x
|
||||||
|
001;World;009;Oceania;061;Polynesia;;;Tokelau;772;TK;TKL;;;
|
||||||
|
001;World;009;Oceania;061;Polynesia;;;Tonga;776;TO;TON;;;x
|
||||||
|
001;World;009;Oceania;061;Polynesia;;;Tuvalu;798;TV;TUV;x;;x
|
||||||
|
001;World;009;Oceania;061;Polynesia;;;Wallis and Futuna Islands;876;WF;WLF;;;
|
||||||
|
|
|
@ -0,0 +1,876 @@
|
||||||
|
{
|
||||||
|
"cells": [
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 21,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"import numpy as np\n",
|
||||||
|
"import pandas as pd\n",
|
||||||
|
"import seaborn as sns\n",
|
||||||
|
"import matplotlib.pyplot as plt\n",
|
||||||
|
"\n",
|
||||||
|
"# Gamma function\n",
|
||||||
|
"from scipy.special import gamma\n",
|
||||||
|
"\n",
|
||||||
|
"# To calculate statistics\n",
|
||||||
|
"from scipy.stats import norm\n",
|
||||||
|
"from scipy.stats import hmean, trim_mean, iqr, median_abs_deviation, skew, kurtosis\n",
|
||||||
|
"from scipy.stats.mstats import gmean, winsorize"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 22,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"DataWhr2024 = pd.read_csv(\"../DataWhr2024.csv\")\n",
|
||||||
|
"UnM49 = pd.read_csv(\"./UnM49.csv\", sep=';')"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 23,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"UnM49 = UnM49[['Country or Area', 'Sub-region Name', 'Region Name']]\n",
|
||||||
|
"UnM49 = UnM49.rename({'Country or Area':'Country name', 'Sub-region Name':'Subregion', 'Region Name':'Continent'}, axis=1)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "markdown",
|
||||||
|
"metadata": {},
|
||||||
|
"source": [
|
||||||
|
"---"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 24,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# Data\n",
|
||||||
|
"Dat = pd.merge(DataWhr2024, UnM49)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 25,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# Data of 2023\n",
|
||||||
|
"Dat2023 = Dat[Dat['year'] == 2023]\n",
|
||||||
|
"Dat2023 = Dat2023.reset_index(drop=True)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 26,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/plain": [
|
||||||
|
"['Iceland', 'India', 'Indonesia', 'Iraq', 'Ireland', 'Israel', 'Italy']"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 26,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"# Countries that starts with the same letter that your name\n",
|
||||||
|
"StartsWith = 'I' # The first letter of your name\n",
|
||||||
|
"list(Dat[Dat['Country name'].str.startswith(StartsWith)]['Country name'].unique())"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 27,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"# Data of 2023 from the region selected\n",
|
||||||
|
"CountrySelected = 'Iraq' # Change to the country that you selected\n",
|
||||||
|
"SubregionSelected = Dat[Dat['Country name']==CountrySelected]['Subregion'].unique()[0]\n",
|
||||||
|
"\n",
|
||||||
|
"DatSelected = Dat2023[Dat2023['Subregion']==SubregionSelected]\n",
|
||||||
|
"DatSelected = DatSelected.reset_index(drop=True)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 28,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/html": [
|
||||||
|
"<div>\n",
|
||||||
|
"<style scoped>\n",
|
||||||
|
" .dataframe tbody tr th:only-of-type {\n",
|
||||||
|
" vertical-align: middle;\n",
|
||||||
|
" }\n",
|
||||||
|
"\n",
|
||||||
|
" .dataframe tbody tr th {\n",
|
||||||
|
" vertical-align: top;\n",
|
||||||
|
" }\n",
|
||||||
|
"\n",
|
||||||
|
" .dataframe thead th {\n",
|
||||||
|
" text-align: right;\n",
|
||||||
|
" }\n",
|
||||||
|
"</style>\n",
|
||||||
|
"<table border=\"1\" class=\"dataframe\">\n",
|
||||||
|
" <thead>\n",
|
||||||
|
" <tr style=\"text-align: right;\">\n",
|
||||||
|
" <th></th>\n",
|
||||||
|
" <th>year</th>\n",
|
||||||
|
" <th>Life Ladder</th>\n",
|
||||||
|
" <th>Log GDP per capita</th>\n",
|
||||||
|
" <th>Social support</th>\n",
|
||||||
|
" <th>Healthy life expectancy at birth</th>\n",
|
||||||
|
" <th>Freedom to make life choices</th>\n",
|
||||||
|
" <th>Generosity</th>\n",
|
||||||
|
" <th>Perceptions of corruption</th>\n",
|
||||||
|
" <th>Positive affect</th>\n",
|
||||||
|
" <th>Negative affect</th>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </thead>\n",
|
||||||
|
" <tbody>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>count</th>\n",
|
||||||
|
" <td>121.0</td>\n",
|
||||||
|
" <td>121.000000</td>\n",
|
||||||
|
" <td>114.000000</td>\n",
|
||||||
|
" <td>121.000000</td>\n",
|
||||||
|
" <td>120.000000</td>\n",
|
||||||
|
" <td>119.000000</td>\n",
|
||||||
|
" <td>114.000000</td>\n",
|
||||||
|
" <td>114.000000</td>\n",
|
||||||
|
" <td>121.000000</td>\n",
|
||||||
|
" <td>121.000000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>mean</th>\n",
|
||||||
|
" <td>2023.0</td>\n",
|
||||||
|
" <td>5.601455</td>\n",
|
||||||
|
" <td>9.527377</td>\n",
|
||||||
|
" <td>0.792537</td>\n",
|
||||||
|
" <td>65.283333</td>\n",
|
||||||
|
" <td>0.789227</td>\n",
|
||||||
|
" <td>0.027851</td>\n",
|
||||||
|
" <td>0.722447</td>\n",
|
||||||
|
" <td>0.650488</td>\n",
|
||||||
|
" <td>0.295818</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>std</th>\n",
|
||||||
|
" <td>0.0</td>\n",
|
||||||
|
" <td>1.159381</td>\n",
|
||||||
|
" <td>1.151462</td>\n",
|
||||||
|
" <td>0.131982</td>\n",
|
||||||
|
" <td>5.580870</td>\n",
|
||||||
|
" <td>0.124732</td>\n",
|
||||||
|
" <td>0.162959</td>\n",
|
||||||
|
" <td>0.182586</td>\n",
|
||||||
|
" <td>0.113365</td>\n",
|
||||||
|
" <td>0.085531</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>min</th>\n",
|
||||||
|
" <td>2023.0</td>\n",
|
||||||
|
" <td>1.446000</td>\n",
|
||||||
|
" <td>7.147000</td>\n",
|
||||||
|
" <td>0.368000</td>\n",
|
||||||
|
" <td>52.200000</td>\n",
|
||||||
|
" <td>0.228000</td>\n",
|
||||||
|
" <td>-0.268000</td>\n",
|
||||||
|
" <td>0.153000</td>\n",
|
||||||
|
" <td>0.261000</td>\n",
|
||||||
|
" <td>0.114000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>25%</th>\n",
|
||||||
|
" <td>2023.0</td>\n",
|
||||||
|
" <td>4.609000</td>\n",
|
||||||
|
" <td>8.612500</td>\n",
|
||||||
|
" <td>0.703000</td>\n",
|
||||||
|
" <td>60.700000</td>\n",
|
||||||
|
" <td>0.734500</td>\n",
|
||||||
|
" <td>-0.088750</td>\n",
|
||||||
|
" <td>0.663250</td>\n",
|
||||||
|
" <td>0.579000</td>\n",
|
||||||
|
" <td>0.231000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>50%</th>\n",
|
||||||
|
" <td>2023.0</td>\n",
|
||||||
|
" <td>5.868000</td>\n",
|
||||||
|
" <td>9.670000</td>\n",
|
||||||
|
" <td>0.831000</td>\n",
|
||||||
|
" <td>66.300000</td>\n",
|
||||||
|
" <td>0.807000</td>\n",
|
||||||
|
" <td>0.022000</td>\n",
|
||||||
|
" <td>0.781000</td>\n",
|
||||||
|
" <td>0.661000</td>\n",
|
||||||
|
" <td>0.289000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>75%</th>\n",
|
||||||
|
" <td>2023.0</td>\n",
|
||||||
|
" <td>6.482000</td>\n",
|
||||||
|
" <td>10.496250</td>\n",
|
||||||
|
" <td>0.895000</td>\n",
|
||||||
|
" <td>69.775000</td>\n",
|
||||||
|
" <td>0.877000</td>\n",
|
||||||
|
" <td>0.122500</td>\n",
|
||||||
|
" <td>0.844500</td>\n",
|
||||||
|
" <td>0.738000</td>\n",
|
||||||
|
" <td>0.358000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>max</th>\n",
|
||||||
|
" <td>2023.0</td>\n",
|
||||||
|
" <td>7.699000</td>\n",
|
||||||
|
" <td>11.676000</td>\n",
|
||||||
|
" <td>0.979000</td>\n",
|
||||||
|
" <td>74.600000</td>\n",
|
||||||
|
" <td>0.965000</td>\n",
|
||||||
|
" <td>0.590000</td>\n",
|
||||||
|
" <td>0.948000</td>\n",
|
||||||
|
" <td>0.843000</td>\n",
|
||||||
|
" <td>0.516000</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </tbody>\n",
|
||||||
|
"</table>\n",
|
||||||
|
"</div>"
|
||||||
|
],
|
||||||
|
"text/plain": [
|
||||||
|
" year Life Ladder Log GDP per capita Social support \\\n",
|
||||||
|
"count 121.0 121.000000 114.000000 121.000000 \n",
|
||||||
|
"mean 2023.0 5.601455 9.527377 0.792537 \n",
|
||||||
|
"std 0.0 1.159381 1.151462 0.131982 \n",
|
||||||
|
"min 2023.0 1.446000 7.147000 0.368000 \n",
|
||||||
|
"25% 2023.0 4.609000 8.612500 0.703000 \n",
|
||||||
|
"50% 2023.0 5.868000 9.670000 0.831000 \n",
|
||||||
|
"75% 2023.0 6.482000 10.496250 0.895000 \n",
|
||||||
|
"max 2023.0 7.699000 11.676000 0.979000 \n",
|
||||||
|
"\n",
|
||||||
|
" Healthy life expectancy at birth Freedom to make life choices \\\n",
|
||||||
|
"count 120.000000 119.000000 \n",
|
||||||
|
"mean 65.283333 0.789227 \n",
|
||||||
|
"std 5.580870 0.124732 \n",
|
||||||
|
"min 52.200000 0.228000 \n",
|
||||||
|
"25% 60.700000 0.734500 \n",
|
||||||
|
"50% 66.300000 0.807000 \n",
|
||||||
|
"75% 69.775000 0.877000 \n",
|
||||||
|
"max 74.600000 0.965000 \n",
|
||||||
|
"\n",
|
||||||
|
" Generosity Perceptions of corruption Positive affect Negative affect \n",
|
||||||
|
"count 114.000000 114.000000 121.000000 121.000000 \n",
|
||||||
|
"mean 0.027851 0.722447 0.650488 0.295818 \n",
|
||||||
|
"std 0.162959 0.182586 0.113365 0.085531 \n",
|
||||||
|
"min -0.268000 0.153000 0.261000 0.114000 \n",
|
||||||
|
"25% -0.088750 0.663250 0.579000 0.231000 \n",
|
||||||
|
"50% 0.022000 0.781000 0.661000 0.289000 \n",
|
||||||
|
"75% 0.122500 0.844500 0.738000 0.358000 \n",
|
||||||
|
"max 0.590000 0.948000 0.843000 0.516000 "
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 28,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"Dat2023.describe()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 29,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/html": [
|
||||||
|
"<div>\n",
|
||||||
|
"<style scoped>\n",
|
||||||
|
" .dataframe tbody tr th:only-of-type {\n",
|
||||||
|
" vertical-align: middle;\n",
|
||||||
|
" }\n",
|
||||||
|
"\n",
|
||||||
|
" .dataframe tbody tr th {\n",
|
||||||
|
" vertical-align: top;\n",
|
||||||
|
" }\n",
|
||||||
|
"\n",
|
||||||
|
" .dataframe thead th {\n",
|
||||||
|
" text-align: right;\n",
|
||||||
|
" }\n",
|
||||||
|
"</style>\n",
|
||||||
|
"<table border=\"1\" class=\"dataframe\">\n",
|
||||||
|
" <thead>\n",
|
||||||
|
" <tr style=\"text-align: right;\">\n",
|
||||||
|
" <th></th>\n",
|
||||||
|
" <th>Country name</th>\n",
|
||||||
|
" <th>year</th>\n",
|
||||||
|
" <th>Life Ladder</th>\n",
|
||||||
|
" <th>Log GDP per capita</th>\n",
|
||||||
|
" <th>Social support</th>\n",
|
||||||
|
" <th>Healthy life expectancy at birth</th>\n",
|
||||||
|
" <th>Freedom to make life choices</th>\n",
|
||||||
|
" <th>Generosity</th>\n",
|
||||||
|
" <th>Perceptions of corruption</th>\n",
|
||||||
|
" <th>Positive affect</th>\n",
|
||||||
|
" <th>Negative affect</th>\n",
|
||||||
|
" <th>Subregion</th>\n",
|
||||||
|
" <th>Continent</th>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </thead>\n",
|
||||||
|
" <tbody>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>0</th>\n",
|
||||||
|
" <td>Afghanistan</td>\n",
|
||||||
|
" <td>2023</td>\n",
|
||||||
|
" <td>1.446</td>\n",
|
||||||
|
" <td>NaN</td>\n",
|
||||||
|
" <td>0.368</td>\n",
|
||||||
|
" <td>55.2</td>\n",
|
||||||
|
" <td>0.228</td>\n",
|
||||||
|
" <td>NaN</td>\n",
|
||||||
|
" <td>0.738</td>\n",
|
||||||
|
" <td>0.261</td>\n",
|
||||||
|
" <td>0.460</td>\n",
|
||||||
|
" <td>Southern Asia</td>\n",
|
||||||
|
" <td>Asia</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>1</th>\n",
|
||||||
|
" <td>Albania</td>\n",
|
||||||
|
" <td>2023</td>\n",
|
||||||
|
" <td>5.445</td>\n",
|
||||||
|
" <td>9.689</td>\n",
|
||||||
|
" <td>0.691</td>\n",
|
||||||
|
" <td>69.2</td>\n",
|
||||||
|
" <td>0.872</td>\n",
|
||||||
|
" <td>0.068</td>\n",
|
||||||
|
" <td>0.855</td>\n",
|
||||||
|
" <td>0.597</td>\n",
|
||||||
|
" <td>0.314</td>\n",
|
||||||
|
" <td>Southern Europe</td>\n",
|
||||||
|
" <td>Europe</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>2</th>\n",
|
||||||
|
" <td>Argentina</td>\n",
|
||||||
|
" <td>2023</td>\n",
|
||||||
|
" <td>6.393</td>\n",
|
||||||
|
" <td>9.994</td>\n",
|
||||||
|
" <td>0.892</td>\n",
|
||||||
|
" <td>67.3</td>\n",
|
||||||
|
" <td>0.832</td>\n",
|
||||||
|
" <td>-0.129</td>\n",
|
||||||
|
" <td>0.846</td>\n",
|
||||||
|
" <td>0.720</td>\n",
|
||||||
|
" <td>0.301</td>\n",
|
||||||
|
" <td>Latin America and the Caribbean</td>\n",
|
||||||
|
" <td>Americas</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>3</th>\n",
|
||||||
|
" <td>Armenia</td>\n",
|
||||||
|
" <td>2023</td>\n",
|
||||||
|
" <td>5.679</td>\n",
|
||||||
|
" <td>9.730</td>\n",
|
||||||
|
" <td>0.819</td>\n",
|
||||||
|
" <td>68.2</td>\n",
|
||||||
|
" <td>0.819</td>\n",
|
||||||
|
" <td>-0.179</td>\n",
|
||||||
|
" <td>0.681</td>\n",
|
||||||
|
" <td>0.575</td>\n",
|
||||||
|
" <td>0.423</td>\n",
|
||||||
|
" <td>Western Asia</td>\n",
|
||||||
|
" <td>Asia</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>4</th>\n",
|
||||||
|
" <td>Australia</td>\n",
|
||||||
|
" <td>2023</td>\n",
|
||||||
|
" <td>7.025</td>\n",
|
||||||
|
" <td>10.846</td>\n",
|
||||||
|
" <td>0.896</td>\n",
|
||||||
|
" <td>71.2</td>\n",
|
||||||
|
" <td>0.876</td>\n",
|
||||||
|
" <td>0.187</td>\n",
|
||||||
|
" <td>0.482</td>\n",
|
||||||
|
" <td>0.731</td>\n",
|
||||||
|
" <td>0.248</td>\n",
|
||||||
|
" <td>Australia and New Zealand</td>\n",
|
||||||
|
" <td>Oceania</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>...</th>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" <td>...</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>116</th>\n",
|
||||||
|
" <td>Uruguay</td>\n",
|
||||||
|
" <td>2023</td>\n",
|
||||||
|
" <td>6.662</td>\n",
|
||||||
|
" <td>10.122</td>\n",
|
||||||
|
" <td>0.908</td>\n",
|
||||||
|
" <td>67.5</td>\n",
|
||||||
|
" <td>0.904</td>\n",
|
||||||
|
" <td>-0.050</td>\n",
|
||||||
|
" <td>0.662</td>\n",
|
||||||
|
" <td>0.753</td>\n",
|
||||||
|
" <td>0.265</td>\n",
|
||||||
|
" <td>Latin America and the Caribbean</td>\n",
|
||||||
|
" <td>Americas</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>117</th>\n",
|
||||||
|
" <td>Uzbekistan</td>\n",
|
||||||
|
" <td>2023</td>\n",
|
||||||
|
" <td>6.385</td>\n",
|
||||||
|
" <td>9.026</td>\n",
|
||||||
|
" <td>0.909</td>\n",
|
||||||
|
" <td>65.9</td>\n",
|
||||||
|
" <td>0.927</td>\n",
|
||||||
|
" <td>0.247</td>\n",
|
||||||
|
" <td>0.650</td>\n",
|
||||||
|
" <td>0.752</td>\n",
|
||||||
|
" <td>0.202</td>\n",
|
||||||
|
" <td>Central Asia</td>\n",
|
||||||
|
" <td>Asia</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>118</th>\n",
|
||||||
|
" <td>Yemen</td>\n",
|
||||||
|
" <td>2023</td>\n",
|
||||||
|
" <td>3.532</td>\n",
|
||||||
|
" <td>NaN</td>\n",
|
||||||
|
" <td>0.825</td>\n",
|
||||||
|
" <td>56.6</td>\n",
|
||||||
|
" <td>0.583</td>\n",
|
||||||
|
" <td>NaN</td>\n",
|
||||||
|
" <td>0.771</td>\n",
|
||||||
|
" <td>0.447</td>\n",
|
||||||
|
" <td>0.341</td>\n",
|
||||||
|
" <td>Western Asia</td>\n",
|
||||||
|
" <td>Asia</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>119</th>\n",
|
||||||
|
" <td>Zambia</td>\n",
|
||||||
|
" <td>2023</td>\n",
|
||||||
|
" <td>3.686</td>\n",
|
||||||
|
" <td>8.115</td>\n",
|
||||||
|
" <td>0.664</td>\n",
|
||||||
|
" <td>56.1</td>\n",
|
||||||
|
" <td>0.854</td>\n",
|
||||||
|
" <td>0.092</td>\n",
|
||||||
|
" <td>0.814</td>\n",
|
||||||
|
" <td>0.653</td>\n",
|
||||||
|
" <td>0.359</td>\n",
|
||||||
|
" <td>Sub-Saharan Africa</td>\n",
|
||||||
|
" <td>Africa</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>120</th>\n",
|
||||||
|
" <td>Zimbabwe</td>\n",
|
||||||
|
" <td>2023</td>\n",
|
||||||
|
" <td>3.572</td>\n",
|
||||||
|
" <td>7.679</td>\n",
|
||||||
|
" <td>0.694</td>\n",
|
||||||
|
" <td>55.0</td>\n",
|
||||||
|
" <td>0.735</td>\n",
|
||||||
|
" <td>-0.069</td>\n",
|
||||||
|
" <td>0.757</td>\n",
|
||||||
|
" <td>0.610</td>\n",
|
||||||
|
" <td>0.179</td>\n",
|
||||||
|
" <td>Sub-Saharan Africa</td>\n",
|
||||||
|
" <td>Africa</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </tbody>\n",
|
||||||
|
"</table>\n",
|
||||||
|
"<p>121 rows × 13 columns</p>\n",
|
||||||
|
"</div>"
|
||||||
|
],
|
||||||
|
"text/plain": [
|
||||||
|
" Country name year Life Ladder Log GDP per capita Social support \\\n",
|
||||||
|
"0 Afghanistan 2023 1.446 NaN 0.368 \n",
|
||||||
|
"1 Albania 2023 5.445 9.689 0.691 \n",
|
||||||
|
"2 Argentina 2023 6.393 9.994 0.892 \n",
|
||||||
|
"3 Armenia 2023 5.679 9.730 0.819 \n",
|
||||||
|
"4 Australia 2023 7.025 10.846 0.896 \n",
|
||||||
|
".. ... ... ... ... ... \n",
|
||||||
|
"116 Uruguay 2023 6.662 10.122 0.908 \n",
|
||||||
|
"117 Uzbekistan 2023 6.385 9.026 0.909 \n",
|
||||||
|
"118 Yemen 2023 3.532 NaN 0.825 \n",
|
||||||
|
"119 Zambia 2023 3.686 8.115 0.664 \n",
|
||||||
|
"120 Zimbabwe 2023 3.572 7.679 0.694 \n",
|
||||||
|
"\n",
|
||||||
|
" Healthy life expectancy at birth Freedom to make life choices \\\n",
|
||||||
|
"0 55.2 0.228 \n",
|
||||||
|
"1 69.2 0.872 \n",
|
||||||
|
"2 67.3 0.832 \n",
|
||||||
|
"3 68.2 0.819 \n",
|
||||||
|
"4 71.2 0.876 \n",
|
||||||
|
".. ... ... \n",
|
||||||
|
"116 67.5 0.904 \n",
|
||||||
|
"117 65.9 0.927 \n",
|
||||||
|
"118 56.6 0.583 \n",
|
||||||
|
"119 56.1 0.854 \n",
|
||||||
|
"120 55.0 0.735 \n",
|
||||||
|
"\n",
|
||||||
|
" Generosity Perceptions of corruption Positive affect Negative affect \\\n",
|
||||||
|
"0 NaN 0.738 0.261 0.460 \n",
|
||||||
|
"1 0.068 0.855 0.597 0.314 \n",
|
||||||
|
"2 -0.129 0.846 0.720 0.301 \n",
|
||||||
|
"3 -0.179 0.681 0.575 0.423 \n",
|
||||||
|
"4 0.187 0.482 0.731 0.248 \n",
|
||||||
|
".. ... ... ... ... \n",
|
||||||
|
"116 -0.050 0.662 0.753 0.265 \n",
|
||||||
|
"117 0.247 0.650 0.752 0.202 \n",
|
||||||
|
"118 NaN 0.771 0.447 0.341 \n",
|
||||||
|
"119 0.092 0.814 0.653 0.359 \n",
|
||||||
|
"120 -0.069 0.757 0.610 0.179 \n",
|
||||||
|
"\n",
|
||||||
|
" Subregion Continent \n",
|
||||||
|
"0 Southern Asia Asia \n",
|
||||||
|
"1 Southern Europe Europe \n",
|
||||||
|
"2 Latin America and the Caribbean Americas \n",
|
||||||
|
"3 Western Asia Asia \n",
|
||||||
|
"4 Australia and New Zealand Oceania \n",
|
||||||
|
".. ... ... \n",
|
||||||
|
"116 Latin America and the Caribbean Americas \n",
|
||||||
|
"117 Central Asia Asia \n",
|
||||||
|
"118 Western Asia Asia \n",
|
||||||
|
"119 Sub-Saharan Africa Africa \n",
|
||||||
|
"120 Sub-Saharan Africa Africa \n",
|
||||||
|
"\n",
|
||||||
|
"[121 rows x 13 columns]"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 29,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"Dat2023"
|
||||||
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" <thead>\n",
|
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|
" <tr style=\"text-align: right;\">\n",
|
||||||
|
" <th></th>\n",
|
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|
" <th>Country name</th>\n",
|
||||||
|
" <th>year</th>\n",
|
||||||
|
" <th>Life Ladder</th>\n",
|
||||||
|
" <th>Log GDP per capita</th>\n",
|
||||||
|
" <th>Social support</th>\n",
|
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|
" <th>Healthy life expectancy at birth</th>\n",
|
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|
" <th>Freedom to make life choices</th>\n",
|
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|
" <th>Generosity</th>\n",
|
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|
" <th>Perceptions of corruption</th>\n",
|
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|
" <th>Positive affect</th>\n",
|
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|
" <th>Negative affect</th>\n",
|
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" <th>Subregion</th>\n",
|
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" <th>Continent</th>\n",
|
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" </tr>\n",
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|
" </thead>\n",
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" <tbody>\n",
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" <tr>\n",
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" <th>13</th>\n",
|
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|
" <td>Afghanistan</td>\n",
|
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|
" <td>2022</td>\n",
|
||||||
|
" <td>1.281</td>\n",
|
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|
" <td>NaN</td>\n",
|
||||||
|
" <td>0.228</td>\n",
|
||||||
|
" <td>54.875</td>\n",
|
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|
" <td>0.368</td>\n",
|
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|
" <td>NaN</td>\n",
|
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|
" <td>0.733</td>\n",
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" <td>0.206</td>\n",
|
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|
" <td>0.576</td>\n",
|
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|
" <td>Southern Asia</td>\n",
|
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|
" <td>Asia</td>\n",
|
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|
" </tr>\n",
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" </tbody>\n",
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"</table>\n",
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"</div>"
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],
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"text/plain": [
|
||||||
|
" Country name year Life Ladder Log GDP per capita Social support \\\n",
|
||||||
|
"13 Afghanistan 2022 1.281 NaN 0.228 \n",
|
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|
"\n",
|
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|
" Healthy life expectancy at birth Freedom to make life choices \\\n",
|
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|
"13 54.875 0.368 \n",
|
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|
"\n",
|
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|
" Generosity Perceptions of corruption Positive affect Negative affect \\\n",
|
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|
"13 NaN 0.733 0.206 0.576 \n",
|
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|
"\n",
|
||||||
|
" Subregion Continent \n",
|
||||||
|
"13 Southern Asia Asia "
|
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|
]
|
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|
},
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"execution_count": 40,
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"metadata": {},
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"output_type": "execute_result"
|
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|
}
|
||||||
|
],
|
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|
"source": [
|
||||||
|
"Dat.loc[Dat[\"Life Ladder\"] == Dat[\"Life Ladder\"].min()]"
|
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|
]
|
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|
},
|
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|
{
|
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"cell_type": "code",
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"execution_count": 43,
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" }\n",
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|
" text-align: right;\n",
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|
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|
"</style>\n",
|
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|
"<table border=\"1\" class=\"dataframe\">\n",
|
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|
" <thead>\n",
|
||||||
|
" <tr style=\"text-align: right;\">\n",
|
||||||
|
" <th></th>\n",
|
||||||
|
" <th>Country name</th>\n",
|
||||||
|
" <th>year</th>\n",
|
||||||
|
" <th>Life Ladder</th>\n",
|
||||||
|
" <th>Log GDP per capita</th>\n",
|
||||||
|
" <th>Social support</th>\n",
|
||||||
|
" <th>Healthy life expectancy at birth</th>\n",
|
||||||
|
" <th>Freedom to make life choices</th>\n",
|
||||||
|
" <th>Generosity</th>\n",
|
||||||
|
" <th>Perceptions of corruption</th>\n",
|
||||||
|
" <th>Positive affect</th>\n",
|
||||||
|
" <th>Negative affect</th>\n",
|
||||||
|
" <th>Subregion</th>\n",
|
||||||
|
" <th>Continent</th>\n",
|
||||||
|
" </tr>\n",
|
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|
" </thead>\n",
|
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|
" <tbody>\n",
|
||||||
|
" <tr>\n",
|
||||||
|
" <th>497</th>\n",
|
||||||
|
" <td>Denmark</td>\n",
|
||||||
|
" <td>2005</td>\n",
|
||||||
|
" <td>8.019</td>\n",
|
||||||
|
" <td>10.849</td>\n",
|
||||||
|
" <td>0.972</td>\n",
|
||||||
|
" <td>68.3</td>\n",
|
||||||
|
" <td>0.971</td>\n",
|
||||||
|
" <td>NaN</td>\n",
|
||||||
|
" <td>0.237</td>\n",
|
||||||
|
" <td>0.777</td>\n",
|
||||||
|
" <td>0.154</td>\n",
|
||||||
|
" <td>Northern Europe</td>\n",
|
||||||
|
" <td>Europe</td>\n",
|
||||||
|
" </tr>\n",
|
||||||
|
" </tbody>\n",
|
||||||
|
"</table>\n",
|
||||||
|
"</div>"
|
||||||
|
],
|
||||||
|
"text/plain": [
|
||||||
|
" Country name year Life Ladder Log GDP per capita Social support \\\n",
|
||||||
|
"497 Denmark 2005 8.019 10.849 0.972 \n",
|
||||||
|
"\n",
|
||||||
|
" Healthy life expectancy at birth Freedom to make life choices \\\n",
|
||||||
|
"497 68.3 0.971 \n",
|
||||||
|
"\n",
|
||||||
|
" Generosity Perceptions of corruption Positive affect Negative affect \\\n",
|
||||||
|
"497 NaN 0.237 0.777 0.154 \n",
|
||||||
|
"\n",
|
||||||
|
" Subregion Continent \n",
|
||||||
|
"497 Northern Europe Europe "
|
||||||
|
]
|
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|
},
|
||||||
|
"execution_count": 43,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"Dat.loc[Dat[\"Life Ladder\"] == Dat[\"Life Ladder\"].max()]"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 48,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [],
|
||||||
|
"source": [
|
||||||
|
"avg_health = Dat[\"Healthy life expectancy at birth\"].median()"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 50,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"65.22\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"print(avg_health)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 56,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/plain": [
|
||||||
|
"np.float64(0.231)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 56,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"#p = [0.25, 0.5, 0.75]\n",
|
||||||
|
"np.quantile(Dat2023[\"Negative affect\"], 0.25)\n",
|
||||||
|
"\n",
|
||||||
|
"#Dat[\"Negative affect\"]"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 57,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"data": {
|
||||||
|
"text/plain": [
|
||||||
|
"array([4.6125, 5.42 , 6.3215])"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
"execution_count": 57,
|
||||||
|
"metadata": {},
|
||||||
|
"output_type": "execute_result"
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"p = [0.25, 0.5, 0.75]\n",
|
||||||
|
"np.quantile(Dat[\"Life Ladder\"], p)"
|
||||||
|
]
|
||||||
|
},
|
||||||
|
{
|
||||||
|
"cell_type": "code",
|
||||||
|
"execution_count": 64,
|
||||||
|
"metadata": {},
|
||||||
|
"outputs": [
|
||||||
|
{
|
||||||
|
"name": "stdout",
|
||||||
|
"output_type": "stream",
|
||||||
|
"text": [
|
||||||
|
"5.42\n",
|
||||||
|
"5.4660082404265635\n",
|
||||||
|
"5.3416056329049155\n",
|
||||||
|
"5.207292342092034\n",
|
||||||
|
"5.446561471442401\n",
|
||||||
|
"1.7089999999999996\n",
|
||||||
|
"5.4660082404265635\n"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"source": [
|
||||||
|
"ll = Dat[\"Life Ladder\"]\n",
|
||||||
|
"\n",
|
||||||
|
"print(ll.median())\n",
|
||||||
|
"print(ll.mean())\n",
|
||||||
|
"print(gmean(ll))\n",
|
||||||
|
"print(hmean(ll))\n",
|
||||||
|
"print(trim_mean(ll, 0.25))\n",
|
||||||
|
"print(iqr(ll).mean())\n",
|
||||||
|
"print(winsorize(ll).mean())"
|
||||||
|
]
|
||||||
|
}
|
||||||
|
],
|
||||||
|
"metadata": {
|
||||||
|
"kernelspec": {
|
||||||
|
"display_name": "Python 3",
|
||||||
|
"language": "python",
|
||||||
|
"name": "python3"
|
||||||
|
},
|
||||||
|
"language_info": {
|
||||||
|
"codemirror_mode": {
|
||||||
|
"name": "ipython",
|
||||||
|
"version": 3
|
||||||
|
},
|
||||||
|
"file_extension": ".py",
|
||||||
|
"mimetype": "text/x-python",
|
||||||
|
"name": "python",
|
||||||
|
"nbconvert_exporter": "python",
|
||||||
|
"pygments_lexer": "ipython3",
|
||||||
|
"version": "3.12.6"
|
||||||
|
}
|
||||||
|
},
|
||||||
|
"nbformat": 4,
|
||||||
|
"nbformat_minor": 2
|
||||||
|
}
|
||||||
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|
@ -0,0 +1 @@
|
||||||
|
,winsdominoes,fedora,03.10.2024 10:47,file:///home/winsdominoes/.var/app/org.libreoffice.LibreOffice/config/libreoffice/4;
|
||||||
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Reference in New Issue