Who has already found his/her dataset? (remember, the project! 😉)
Who even looked?
REMEMBER: you need to start working early. 🤓
A short survey
About your projects (and the course)
Structure is key! Start good habits NOW!
Organize your computer like a PRO:
https://slides.djnavarro.net/project-structure/#1
Typically store your files & projects in:
❌ Desktop
❌ Downloads
✅ Documents
Documents
\(\vdash\) DMDS
\(\quad \vdash\) Applications / Internships
\(\quad \vdash\) Courses
\(\quad \quad \vdash\)Python
\(\quad \quad \vdash\)R
\(\quad \quad \vdash\)Web design
Another short survey
Who has practiced since last time?
Who managed to make pivot_longer() work?
Resources
https://www.tidyverse.org/learn/
https://education.rstudio.com/learn/
https://resources.rstudio.com especially:
https://resources.rstudio.com/authors/garrett-grolemund
https://rstudio.com/resources/books/
https://www.bigbookofr.com: great list!
Alternatives to DC:
https://www.learnr4free.com/en/index.html: great list!
https://github.com/delabj/datacamp_alternatives/blob/master/index.md: great list!
https://www.dataquest.io
http://swcarpentry.github.io/r-novice-inflammation/
https://university.business-science.io/p/jumpstart-with-r
https://rfortherestofus.com
https://gabors-data-analysis.com/
Cool free material: https://www.adventures-in-r.com
Back to basics 0: Creating new stuff
Create a new notebook
Create new chunk
Notebook appearance
Use hashtags for headers / sections. Markdown syntax: https://www.markdownguide.org/basic-syntax/
Output formats: html_notebook, ioslides, (+pdf, doc, ppt), see https://quarto.org/docs/output-formats/all-formats.html
https://rmarkdown.rstudio.com/lesson-9.html
https://bookdown.org/yihui/rmarkdown/html-document.html
Chunk options:
Whether to show messages, warnings, or whether to execute or show the code, and controls for output sizes:
https://rmarkdown.rstudio.com/lesson-3.html
Output themes:
https://rstudio4edu.github.io/rstudio4edu-book/rmd-themes.html
Back to basics 1: data structures
Creating data from scratch
1:12 # Create a simple sequence of integers, see also seq(2,12, by = 0.2)
## [1] 1 2 3 4 5 6 7 8 9 10 11 12
c(1, 4, 13) # Concatenate elements (numbers or text) => VERY IMPORTANT
## [1] 1 4 13
rep("ha", 6) # Replication of sequence
## [1] "ha" "ha" "ha" "ha" "ha" "ha"
rbind(1:4,3:6) # Binding rows. Exists for columns: cbind() // ONLY FOR NUMBERS !!!
## [,1] [,2] [,3] [,4] ## [1,] 1 2 3 4 ## [2,] 3 4 5 6
Vectors and matrices
v <- 1:12 # This is a vector v
## [1] 1 2 3 4 5 6 7 8 9 10 11 12
M <- matrix(1:12, nrow = 3, ncol = 4, byrow = T) # This is a matrix M
## [,1] [,2] [,3] [,4] ## [1,] 1 2 3 4 ## [2,] 5 6 7 8 ## [3,] 9 10 11 12
The syntax is: matrix(CONTENT, nrow = a_number, ncol = another_number)
Be careful with the dimension of CONTENT…
Dataframes (DFs) & tibbles
DFs and tibbles are rectangular structures that embed both textual and numerical data!
Let’s create a fake dataset of clothes.
type <- rep(c("Shirt", "Trousers", "Skirt", "Underwear"), 3) # This is a vector of text
size <- rep(c("Large", "Small", "Medium"), 4) # This is another vector of text
price <- c(15, 59, 35, 10, 17, 89, 48, 12, 10, 49, 29, 9) # This is a vector of numbers
tibble(type, size, price) # The "old" version: data.frame(type, size, price)
| type | size | price |
|---|---|---|
| Shirt | Large | 15 |
| Trousers | Small | 59 |
| Skirt | Medium | 35 |
| Underwear | Large | 10 |
| Shirt | Small | 17 |
| Trousers | Medium | 89 |
| Skirt | Large | 48 |
| Underwear | Small | 12 |
| Shirt | Medium | 10 |
| Trousers | Large | 49 |
| Skirt | Small | 29 |
| Underwear | Medium | 9 |
DOLLAR “$” operator
The $ operator gives access to one particular column of a dataset (via its name). It’s like data[‘variable’] in Python. The output is a vector.
clothes <- tibble(type, size, price) clothes$type
## [1] "Shirt" "Trousers" "Skirt" "Underwear" "Shirt" "Trousers" ## [7] "Skirt" "Underwear" "Shirt" "Trousers" "Skirt" "Underwear"
gapminder$country
## [1] Afghanistan Afghanistan ## [3] Afghanistan Afghanistan ## [5] Afghanistan Afghanistan ## [7] Afghanistan Afghanistan ## [9] Afghanistan Afghanistan ## [11] Afghanistan Afghanistan ## [13] Albania Albania ## [15] Albania Albania ## [17] Albania Albania ## [19] Albania Albania ## [21] Albania Albania ## [23] Albania Albania ## [25] Algeria Algeria ## [27] Algeria Algeria ## [29] Algeria Algeria ## [31] Algeria Algeria ## [33] Algeria Algeria ## [35] Algeria Algeria ## [37] Angola Angola ## [39] Angola Angola ## [41] Angola Angola ## [43] Angola Angola ## [45] Angola Angola ## [47] Angola Angola ## [49] Argentina Argentina ## [51] Argentina Argentina ## [53] Argentina Argentina ## [55] Argentina Argentina ## [57] Argentina Argentina ## [59] Argentina Argentina ## [61] Australia Australia ## [63] Australia Australia ## [65] Australia Australia ## [67] Australia Australia ## [69] Australia Australia ## [71] Australia Australia ## [73] Austria Austria ## [75] Austria Austria ## [77] Austria Austria ## [79] Austria Austria ## [81] Austria Austria ## [83] Austria Austria ## [85] Bahrain Bahrain ## [87] Bahrain Bahrain ## [89] Bahrain Bahrain ## [91] Bahrain Bahrain ## [93] Bahrain Bahrain ## [95] Bahrain Bahrain ## [97] Bangladesh Bangladesh ## [99] Bangladesh Bangladesh ## [101] Bangladesh Bangladesh ## [103] Bangladesh Bangladesh ## [105] Bangladesh Bangladesh ## [107] Bangladesh Bangladesh ## [109] Belgium Belgium ## [111] Belgium Belgium ## [113] Belgium Belgium ## [115] Belgium Belgium ## [117] Belgium Belgium ## [119] Belgium Belgium ## [121] Benin Benin ## [123] Benin Benin ## [125] Benin Benin ## [127] Benin Benin ## [129] Benin Benin ## [131] Benin Benin ## [133] Bolivia Bolivia ## [135] Bolivia Bolivia ## [137] Bolivia Bolivia ## [139] Bolivia Bolivia ## [141] Bolivia Bolivia ## [143] Bolivia Bolivia ## [145] Bosnia and Herzegovina Bosnia and Herzegovina ## [147] Bosnia and Herzegovina Bosnia and Herzegovina ## [149] Bosnia and Herzegovina Bosnia and Herzegovina ## [151] Bosnia and Herzegovina Bosnia and Herzegovina ## [153] Bosnia and Herzegovina Bosnia and Herzegovina ## [155] Bosnia and Herzegovina Bosnia and Herzegovina ## [157] Botswana Botswana ## [159] Botswana Botswana ## [161] Botswana Botswana ## [163] Botswana Botswana ## [165] Botswana Botswana ## [167] Botswana Botswana ## [169] Brazil Brazil ## [171] Brazil Brazil ## [173] Brazil Brazil ## [175] Brazil Brazil ## [177] Brazil Brazil ## [179] Brazil Brazil ## [181] Bulgaria Bulgaria ## [183] Bulgaria Bulgaria ## [185] Bulgaria Bulgaria ## [187] Bulgaria Bulgaria ## [189] Bulgaria Bulgaria ## [191] Bulgaria Bulgaria ## [193] Burkina Faso Burkina Faso ## [195] Burkina Faso Burkina Faso ## [197] Burkina Faso Burkina Faso ## [199] Burkina Faso Burkina Faso ## [201] Burkina Faso Burkina Faso ## [203] Burkina Faso Burkina Faso ## [205] Burundi Burundi ## [207] Burundi Burundi ## [209] Burundi Burundi ## [211] Burundi Burundi ## [213] Burundi Burundi ## [215] Burundi Burundi ## [217] Cambodia Cambodia ## [219] Cambodia Cambodia ## [221] Cambodia Cambodia ## [223] Cambodia Cambodia ## [225] Cambodia Cambodia ## [227] Cambodia Cambodia ## [229] Cameroon Cameroon ## [231] Cameroon Cameroon ## [233] Cameroon Cameroon ## [235] Cameroon Cameroon ## [237] Cameroon Cameroon ## [239] Cameroon Cameroon ## [241] Canada Canada ## [243] Canada Canada ## [245] Canada Canada ## [247] Canada Canada ## [249] Canada Canada ## [251] Canada Canada ## [253] Central African Republic Central African Republic ## [255] Central African Republic Central African Republic ## [257] Central African Republic Central African Republic ## [259] Central African Republic Central African Republic ## [261] Central African Republic Central African Republic ## [263] Central African Republic Central African Republic ## [265] Chad Chad ## [267] Chad Chad ## [269] Chad Chad ## [271] Chad Chad ## [273] Chad Chad ## [275] Chad Chad ## [277] Chile Chile ## [279] Chile Chile ## [281] Chile Chile ## [283] Chile Chile ## [285] Chile Chile ## [287] Chile Chile ## [289] China China ## [291] China China ## [293] China China ## [295] China China ## [297] China China ## [299] China China ## [301] Colombia Colombia ## [303] Colombia Colombia ## [305] Colombia Colombia ## [307] Colombia Colombia ## [309] Colombia Colombia ## [311] Colombia Colombia ## [313] Comoros Comoros ## [315] Comoros Comoros ## [317] Comoros Comoros ## [319] Comoros Comoros ## [321] Comoros Comoros ## [323] Comoros Comoros ## [325] Congo, Dem. Rep. Congo, Dem. Rep. ## [327] Congo, Dem. Rep. Congo, Dem. Rep. ## [329] Congo, Dem. Rep. Congo, Dem. Rep. ## [331] Congo, Dem. Rep. Congo, Dem. Rep. ## [333] Congo, Dem. Rep. Congo, Dem. Rep. ## [335] Congo, Dem. Rep. Congo, Dem. Rep. ## [337] Congo, Rep. Congo, Rep. ## [339] Congo, Rep. Congo, Rep. ## [341] Congo, Rep. Congo, Rep. ## [343] Congo, Rep. Congo, Rep. ## [345] Congo, Rep. Congo, Rep. ## [347] Congo, Rep. Congo, Rep. ## [349] Costa Rica Costa Rica ## [351] Costa Rica Costa Rica ## [353] Costa Rica Costa Rica ## [355] Costa Rica Costa Rica ## [357] Costa Rica Costa Rica ## [359] Costa Rica Costa Rica ## [361] Cote d'Ivoire Cote d'Ivoire ## [363] Cote d'Ivoire Cote d'Ivoire ## [365] Cote d'Ivoire Cote d'Ivoire ## [367] Cote d'Ivoire Cote d'Ivoire ## [369] Cote d'Ivoire Cote d'Ivoire ## [371] Cote d'Ivoire Cote d'Ivoire ## [373] Croatia Croatia ## [375] Croatia Croatia ## [377] Croatia Croatia ## [379] Croatia Croatia ## [381] Croatia Croatia ## [383] Croatia Croatia ## [385] Cuba Cuba ## [387] Cuba Cuba ## [389] Cuba Cuba ## [391] Cuba Cuba ## [393] Cuba Cuba ## [395] Cuba Cuba ## [397] Czech Republic Czech Republic ## [399] Czech Republic Czech Republic ## [401] Czech Republic Czech Republic ## [403] Czech Republic Czech Republic ## [405] Czech Republic Czech Republic ## [407] Czech Republic Czech Republic ## [409] Denmark Denmark ## [411] Denmark Denmark ## [413] Denmark Denmark ## [415] Denmark Denmark ## [417] Denmark Denmark ## [419] Denmark Denmark ## [421] Djibouti Djibouti ## [423] Djibouti Djibouti ## [425] Djibouti Djibouti ## [427] Djibouti Djibouti ## [429] Djibouti Djibouti ## [431] Djibouti Djibouti ## [433] Dominican Republic Dominican Republic ## [435] Dominican Republic Dominican Republic ## [437] Dominican Republic Dominican Republic ## [439] Dominican Republic Dominican Republic ## [441] Dominican Republic Dominican Republic ## [443] Dominican Republic Dominican Republic ## [445] Ecuador Ecuador ## [447] Ecuador Ecuador ## [449] Ecuador Ecuador ## [451] Ecuador Ecuador ## [453] Ecuador Ecuador ## [455] Ecuador Ecuador ## [457] Egypt Egypt ## [459] Egypt Egypt ## [461] Egypt Egypt ## [463] Egypt Egypt ## [465] Egypt Egypt ## [467] Egypt Egypt ## [469] El Salvador El Salvador ## [471] El Salvador El Salvador ## [473] El Salvador El Salvador ## [475] El Salvador El Salvador ## [477] El Salvador El Salvador ## [479] El Salvador El Salvador ## [481] Equatorial Guinea Equatorial Guinea ## [483] Equatorial Guinea Equatorial Guinea ## [485] Equatorial Guinea Equatorial Guinea ## [487] Equatorial Guinea Equatorial Guinea ## [489] Equatorial Guinea Equatorial Guinea ## [491] Equatorial Guinea Equatorial Guinea ## [493] Eritrea Eritrea ## [495] Eritrea Eritrea ## [497] Eritrea Eritrea ## [499] Eritrea Eritrea ## [501] Eritrea Eritrea ## [503] Eritrea Eritrea ## [505] Ethiopia Ethiopia ## [507] Ethiopia Ethiopia ## [509] Ethiopia Ethiopia ## [511] Ethiopia Ethiopia ## [513] Ethiopia Ethiopia ## [515] Ethiopia Ethiopia ## [517] Finland Finland ## [519] Finland Finland ## [521] Finland Finland ## [523] Finland Finland ## [525] Finland Finland ## [527] Finland Finland ## [529] France France ## [531] France France ## [533] France France ## [535] France France ## [537] France France ## [539] France France ## [541] Gabon Gabon ## [543] Gabon Gabon ## [545] Gabon Gabon ## [547] Gabon Gabon ## [549] Gabon Gabon ## [551] Gabon Gabon ## [553] Gambia Gambia ## [555] Gambia Gambia ## [557] Gambia Gambia ## [559] Gambia Gambia ## [561] Gambia Gambia ## [563] Gambia Gambia ## [565] Germany Germany ## [567] Germany Germany ## [569] Germany Germany ## [571] Germany Germany ## [573] Germany Germany ## [575] Germany Germany ## [577] Ghana Ghana ## [579] Ghana Ghana ## [581] Ghana Ghana ## [583] Ghana Ghana ## [585] Ghana Ghana ## [587] Ghana Ghana ## [589] Greece Greece ## [591] Greece Greece ## [593] Greece Greece ## [595] Greece Greece ## [597] Greece Greece ## [599] Greece Greece ## [601] Guatemala Guatemala ## [603] Guatemala Guatemala ## [605] Guatemala Guatemala ## [607] Guatemala Guatemala ## [609] Guatemala Guatemala ## [611] Guatemala Guatemala ## [613] Guinea Guinea ## [615] Guinea Guinea ## [617] Guinea Guinea ## [619] Guinea Guinea ## [621] Guinea Guinea ## [623] Guinea Guinea ## [625] Guinea-Bissau Guinea-Bissau ## [627] Guinea-Bissau Guinea-Bissau ## [629] Guinea-Bissau Guinea-Bissau ## [631] Guinea-Bissau Guinea-Bissau ## [633] Guinea-Bissau Guinea-Bissau ## [635] Guinea-Bissau Guinea-Bissau ## [637] Haiti Haiti ## [639] Haiti Haiti ## [641] Haiti Haiti ## [643] Haiti Haiti ## [645] Haiti Haiti ## [647] Haiti Haiti ## [649] Honduras Honduras ## [651] Honduras Honduras ## [653] Honduras Honduras ## [655] Honduras Honduras ## [657] Honduras Honduras ## [659] Honduras Honduras ## [661] Hong Kong, China Hong Kong, China ## [663] Hong Kong, China Hong Kong, China ## [665] Hong Kong, China Hong Kong, China ## [667] Hong Kong, China Hong Kong, China ## [669] Hong Kong, China Hong Kong, China ## [671] Hong Kong, China Hong Kong, China ## [673] Hungary Hungary ## [675] Hungary Hungary ## [677] Hungary Hungary ## [679] Hungary Hungary ## [681] Hungary Hungary ## [683] Hungary Hungary ## [685] Iceland Iceland ## [687] Iceland Iceland ## [689] Iceland Iceland ## [691] Iceland Iceland ## [693] Iceland Iceland ## [695] Iceland Iceland ## [697] India India ## [699] India India ## [701] India India ## [703] India India ## [705] India India ## [707] India India ## [709] Indonesia Indonesia ## [711] Indonesia Indonesia ## [713] Indonesia Indonesia ## [715] Indonesia Indonesia ## [717] Indonesia Indonesia ## [719] Indonesia Indonesia ## [721] Iran Iran ## [723] Iran Iran ## [725] Iran Iran ## [727] Iran Iran ## [729] Iran Iran ## [731] Iran Iran ## [733] Iraq Iraq ## [735] Iraq Iraq ## [737] Iraq Iraq ## [739] Iraq Iraq ## [741] Iraq Iraq ## [743] Iraq Iraq ## [745] Ireland Ireland ## [747] Ireland Ireland ## [749] Ireland Ireland ## [751] Ireland Ireland ## [753] Ireland Ireland ## [755] Ireland Ireland ## [757] Israel Israel ## [759] Israel Israel ## [761] Israel Israel ## [763] Israel Israel ## [765] Israel Israel ## [767] Israel Israel ## [769] Italy Italy ## [771] Italy Italy ## [773] Italy Italy ## [775] Italy Italy ## [777] Italy Italy ## [779] Italy Italy ## [781] Jamaica Jamaica ## [783] Jamaica Jamaica ## [785] Jamaica Jamaica ## [787] Jamaica Jamaica ## [789] Jamaica Jamaica ## [791] Jamaica Jamaica ## [793] Japan Japan ## [795] Japan Japan ## [797] Japan Japan ## [799] Japan Japan ## [801] Japan Japan ## [803] Japan Japan ## [805] Jordan Jordan ## [807] Jordan Jordan ## [809] Jordan Jordan ## [811] Jordan Jordan ## [813] Jordan Jordan ## [815] Jordan Jordan ## [817] Kenya Kenya ## [819] Kenya Kenya ## [821] Kenya Kenya ## [823] Kenya Kenya ## [825] Kenya Kenya ## [827] Kenya Kenya ## [829] Korea, Dem. Rep. Korea, Dem. Rep. ## [831] Korea, Dem. Rep. Korea, Dem. Rep. ## [833] Korea, Dem. Rep. Korea, Dem. Rep. ## [835] Korea, Dem. Rep. Korea, Dem. Rep. ## [837] Korea, Dem. Rep. Korea, Dem. Rep. ## [839] Korea, Dem. Rep. Korea, Dem. Rep. ## [841] Korea, Rep. Korea, Rep. ## [843] Korea, Rep. Korea, Rep. ## [845] Korea, Rep. Korea, Rep. ## [847] Korea, Rep. Korea, Rep. ## [849] Korea, Rep. Korea, Rep. ## [851] Korea, Rep. Korea, Rep. ## [853] Kuwait Kuwait ## [855] Kuwait Kuwait ## [857] Kuwait Kuwait ## [859] Kuwait Kuwait ## [861] Kuwait Kuwait ## [863] Kuwait Kuwait ## [865] Lebanon Lebanon ## [867] Lebanon Lebanon ## [869] Lebanon Lebanon ## [871] Lebanon Lebanon ## [873] Lebanon Lebanon ## [875] Lebanon Lebanon ## [877] Lesotho Lesotho ## [879] Lesotho Lesotho ## [881] Lesotho Lesotho ## [883] Lesotho Lesotho ## [885] Lesotho Lesotho ## [887] Lesotho Lesotho ## [889] Liberia Liberia ## [891] Liberia Liberia ## [893] Liberia Liberia ## [895] Liberia Liberia ## [897] Liberia Liberia ## [899] Liberia Liberia ## [901] Libya Libya ## [903] Libya Libya ## [905] Libya Libya ## [907] Libya Libya ## [909] Libya Libya ## [911] Libya Libya ## [913] Madagascar Madagascar ## [915] Madagascar Madagascar ## [917] Madagascar Madagascar ## [919] Madagascar Madagascar ## [921] Madagascar Madagascar ## [923] Madagascar Madagascar ## [925] Malawi Malawi ## [927] Malawi Malawi ## [929] Malawi Malawi ## [931] Malawi Malawi ## [933] Malawi Malawi ## [935] Malawi Malawi ## [937] Malaysia Malaysia ## [939] Malaysia Malaysia ## [941] Malaysia Malaysia ## [943] Malaysia Malaysia ## [945] Malaysia Malaysia ## [947] Malaysia Malaysia ## [949] Mali Mali ## [951] Mali Mali ## [953] Mali Mali ## [955] Mali Mali ## [957] Mali Mali ## [959] Mali Mali ## [961] Mauritania Mauritania ## [963] Mauritania Mauritania ## [965] Mauritania Mauritania ## [967] Mauritania Mauritania ## [969] Mauritania Mauritania ## [971] Mauritania Mauritania ## [973] Mauritius Mauritius ## [975] Mauritius Mauritius ## [977] Mauritius Mauritius ## [979] Mauritius Mauritius ## [981] Mauritius Mauritius ## [983] Mauritius Mauritius ## [985] Mexico Mexico ## [987] Mexico Mexico ## [989] Mexico Mexico ## [991] Mexico Mexico ## [993] Mexico Mexico ## [995] Mexico Mexico ## [997] Mongolia Mongolia ## [999] Mongolia Mongolia ## [1001] Mongolia Mongolia ## [1003] Mongolia Mongolia ## [1005] Mongolia Mongolia ## [1007] Mongolia Mongolia ## [1009] Montenegro Montenegro ## [1011] Montenegro Montenegro ## [1013] Montenegro Montenegro ## [1015] Montenegro Montenegro ## [1017] Montenegro Montenegro ## [1019] Montenegro Montenegro ## [1021] Morocco Morocco ## [1023] Morocco Morocco ## [1025] Morocco Morocco ## [1027] Morocco Morocco ## [1029] Morocco Morocco ## [1031] Morocco Morocco ## [1033] Mozambique Mozambique ## [1035] Mozambique Mozambique ## [1037] Mozambique Mozambique ## [1039] Mozambique Mozambique ## [1041] Mozambique Mozambique ## [1043] Mozambique Mozambique ## [1045] Myanmar Myanmar ## [1047] Myanmar Myanmar ## [1049] Myanmar Myanmar ## [1051] Myanmar Myanmar ## [1053] Myanmar Myanmar ## [1055] Myanmar Myanmar ## [1057] Namibia Namibia ## [1059] Namibia Namibia ## [1061] Namibia Namibia ## [1063] Namibia Namibia ## [1065] Namibia Namibia ## [1067] Namibia Namibia ## [1069] Nepal Nepal ## [1071] Nepal Nepal ## [1073] Nepal Nepal ## [1075] Nepal Nepal ## [1077] Nepal Nepal ## [1079] Nepal Nepal ## [1081] Netherlands Netherlands ## [1083] Netherlands Netherlands ## [1085] Netherlands Netherlands ## [1087] Netherlands Netherlands ## [1089] Netherlands Netherlands ## [1091] Netherlands Netherlands ## [1093] New Zealand New Zealand ## [1095] New Zealand New Zealand ## [1097] New Zealand New Zealand ## [1099] New Zealand New Zealand ## [1101] New Zealand New Zealand ## [1103] New Zealand New Zealand ## [1105] Nicaragua Nicaragua ## [1107] Nicaragua Nicaragua ## [1109] Nicaragua Nicaragua ## [1111] Nicaragua Nicaragua ## [1113] Nicaragua Nicaragua ## [1115] Nicaragua Nicaragua ## [1117] Niger Niger ## [1119] Niger Niger ## [1121] Niger Niger ## [1123] Niger Niger ## [1125] Niger Niger ## [1127] Niger Niger ## [1129] Nigeria Nigeria ## [1131] Nigeria Nigeria ## [1133] Nigeria Nigeria ## [1135] Nigeria Nigeria ## [1137] Nigeria Nigeria ## [1139] Nigeria Nigeria ## [1141] Norway Norway ## [1143] Norway Norway ## [1145] Norway Norway ## [1147] Norway Norway ## [1149] Norway Norway ## [1151] Norway Norway ## [1153] Oman Oman ## [1155] Oman Oman ## [1157] Oman Oman ## [1159] Oman Oman ## [1161] Oman Oman ## [1163] Oman Oman ## [1165] Pakistan Pakistan ## [1167] Pakistan Pakistan ## [1169] Pakistan Pakistan ## [1171] Pakistan Pakistan ## [1173] Pakistan Pakistan ## [1175] Pakistan Pakistan ## [1177] Panama Panama ## [1179] Panama Panama ## [1181] Panama Panama ## [1183] Panama Panama ## [1185] Panama Panama ## [1187] Panama Panama ## [1189] Paraguay Paraguay ## [1191] Paraguay Paraguay ## [1193] Paraguay Paraguay ## [1195] Paraguay Paraguay ## [1197] Paraguay Paraguay ## [1199] Paraguay Paraguay ## [1201] Peru Peru ## [1203] Peru Peru ## [1205] Peru Peru ## [1207] Peru Peru ## [1209] Peru Peru ## [1211] Peru Peru ## [1213] Philippines Philippines ## [1215] Philippines Philippines ## [1217] Philippines Philippines ## [1219] Philippines Philippines ## [1221] Philippines Philippines ## [1223] Philippines Philippines ## [1225] Poland Poland ## [1227] Poland Poland ## [1229] Poland Poland ## [1231] Poland Poland ## [1233] Poland Poland ## [1235] Poland Poland ## [1237] Portugal Portugal ## [1239] Portugal Portugal ## [1241] Portugal Portugal ## [1243] Portugal Portugal ## [1245] Portugal Portugal ## [1247] Portugal Portugal ## [1249] Puerto Rico Puerto Rico ## [1251] Puerto Rico Puerto Rico ## [1253] Puerto Rico Puerto Rico ## [1255] Puerto Rico Puerto Rico ## [1257] Puerto Rico Puerto Rico ## [1259] Puerto Rico Puerto Rico ## [1261] Reunion Reunion ## [1263] Reunion Reunion ## [1265] Reunion Reunion ## [1267] Reunion Reunion ## [1269] Reunion Reunion ## [1271] Reunion Reunion ## [1273] Romania Romania ## [1275] Romania Romania ## [1277] Romania Romania ## [1279] Romania Romania ## [1281] Romania Romania ## [1283] Romania Romania ## [1285] Rwanda Rwanda ## [1287] Rwanda Rwanda ## [1289] Rwanda Rwanda ## [1291] Rwanda Rwanda ## [1293] Rwanda Rwanda ## [1295] Rwanda Rwanda ## [1297] Sao Tome and Principe Sao Tome and Principe ## [1299] Sao Tome and Principe Sao Tome and Principe ## [1301] Sao Tome and Principe Sao Tome and Principe ## [1303] Sao Tome and Principe Sao Tome and Principe ## [1305] Sao Tome and Principe Sao Tome and Principe ## [1307] Sao Tome and Principe Sao Tome and Principe ## [1309] Saudi Arabia Saudi Arabia ## [1311] Saudi Arabia Saudi Arabia ## [1313] Saudi Arabia Saudi Arabia ## [1315] Saudi Arabia Saudi Arabia ## [1317] Saudi Arabia Saudi Arabia ## [1319] Saudi Arabia Saudi Arabia ## [1321] Senegal Senegal ## [1323] Senegal Senegal ## [1325] Senegal Senegal ## [1327] Senegal Senegal ## [1329] Senegal Senegal ## [1331] Senegal Senegal ## [1333] Serbia Serbia ## [1335] Serbia Serbia ## [1337] Serbia Serbia ## [1339] Serbia Serbia ## [1341] Serbia Serbia ## [1343] Serbia Serbia ## [1345] Sierra Leone Sierra Leone ## [1347] Sierra Leone Sierra Leone ## [1349] Sierra Leone Sierra Leone ## [1351] Sierra Leone Sierra Leone ## [1353] Sierra Leone Sierra Leone ## [1355] Sierra Leone Sierra Leone ## [1357] Singapore Singapore ## [1359] Singapore Singapore ## [1361] Singapore Singapore ## [1363] Singapore Singapore ## [1365] Singapore Singapore ## [1367] Singapore Singapore ## [1369] Slovak Republic Slovak Republic ## [1371] Slovak Republic Slovak Republic ## [1373] Slovak Republic Slovak Republic ## [1375] Slovak Republic Slovak Republic ## [1377] Slovak Republic Slovak Republic ## [1379] Slovak Republic Slovak Republic ## [1381] Slovenia Slovenia ## [1383] Slovenia Slovenia ## [1385] Slovenia Slovenia ## [1387] Slovenia Slovenia ## [1389] Slovenia Slovenia ## [1391] Slovenia Slovenia ## [1393] Somalia Somalia ## [1395] Somalia Somalia ## [1397] Somalia Somalia ## [1399] Somalia Somalia ## [1401] Somalia Somalia ## [1403] Somalia Somalia ## [1405] South Africa South Africa ## [1407] South Africa South Africa ## [1409] South Africa South Africa ## [1411] South Africa South Africa ## [1413] South Africa South Africa ## [1415] South Africa South Africa ## [1417] Spain Spain ## [1419] Spain Spain ## [1421] Spain Spain ## [1423] Spain Spain ## [1425] Spain Spain ## [1427] Spain Spain ## [1429] Sri Lanka Sri Lanka ## [1431] Sri Lanka Sri Lanka ## [1433] Sri Lanka Sri Lanka ## [1435] Sri Lanka Sri Lanka ## [1437] Sri Lanka Sri Lanka ## [1439] Sri Lanka Sri Lanka ## [1441] Sudan Sudan ## [1443] Sudan Sudan ## [1445] Sudan Sudan ## [1447] Sudan Sudan ## [1449] Sudan Sudan ## [1451] Sudan Sudan ## [1453] Swaziland Swaziland ## [1455] Swaziland Swaziland ## [1457] Swaziland Swaziland ## [1459] Swaziland Swaziland ## [1461] Swaziland Swaziland ## [1463] Swaziland Swaziland ## [1465] Sweden Sweden ## [1467] Sweden Sweden ## [1469] Sweden Sweden ## [1471] Sweden Sweden ## [1473] Sweden Sweden ## [1475] Sweden Sweden ## [1477] Switzerland Switzerland ## [1479] Switzerland Switzerland ## [1481] Switzerland Switzerland ## [1483] Switzerland Switzerland ## [1485] Switzerland Switzerland ## [1487] Switzerland Switzerland ## [1489] Syria Syria ## [1491] Syria Syria ## [1493] Syria Syria ## [1495] Syria Syria ## [1497] Syria Syria ## [1499] Syria Syria ## [1501] Taiwan Taiwan ## [1503] Taiwan Taiwan ## [1505] Taiwan Taiwan ## [1507] Taiwan Taiwan ## [1509] Taiwan Taiwan ## [1511] Taiwan Taiwan ## [1513] Tanzania Tanzania ## [1515] Tanzania Tanzania ## [1517] Tanzania Tanzania ## [1519] Tanzania Tanzania ## [1521] Tanzania Tanzania ## [1523] Tanzania Tanzania ## [1525] Thailand Thailand ## [1527] Thailand Thailand ## [1529] Thailand Thailand ## [1531] Thailand Thailand ## [1533] Thailand Thailand ## [1535] Thailand Thailand ## [1537] Togo Togo ## [1539] Togo Togo ## [1541] Togo Togo ## [1543] Togo Togo ## [1545] Togo Togo ## [1547] Togo Togo ## [1549] Trinidad and Tobago Trinidad and Tobago ## [1551] Trinidad and Tobago Trinidad and Tobago ## [1553] Trinidad and Tobago Trinidad and Tobago ## [1555] Trinidad and Tobago Trinidad and Tobago ## [1557] Trinidad and Tobago Trinidad and Tobago ## [1559] Trinidad and Tobago Trinidad and Tobago ## [1561] Tunisia Tunisia ## [1563] Tunisia Tunisia ## [1565] Tunisia Tunisia ## [1567] Tunisia Tunisia ## [1569] Tunisia Tunisia ## [1571] Tunisia Tunisia ## [1573] Turkey Turkey ## [1575] Turkey Turkey ## [1577] Turkey Turkey ## [1579] Turkey Turkey ## [1581] Turkey Turkey ## [1583] Turkey Turkey ## [1585] Uganda Uganda ## [1587] Uganda Uganda ## [1589] Uganda Uganda ## [1591] Uganda Uganda ## [1593] Uganda Uganda ## [1595] Uganda Uganda ## [1597] United Kingdom United Kingdom ## [1599] United Kingdom United Kingdom ## [1601] United Kingdom United Kingdom ## [1603] United Kingdom United Kingdom ## [1605] United Kingdom United Kingdom ## [1607] United Kingdom United Kingdom ## [1609] United States United States ## [1611] United States United States ## [1613] United States United States ## [1615] United States United States ## [1617] United States United States ## [1619] United States United States ## [1621] Uruguay Uruguay ## [1623] Uruguay Uruguay ## [1625] Uruguay Uruguay ## [1627] Uruguay Uruguay ## [1629] Uruguay Uruguay ## [1631] Uruguay Uruguay ## [1633] Venezuela Venezuela ## [1635] Venezuela Venezuela ## [1637] Venezuela Venezuela ## [1639] Venezuela Venezuela ## [1641] Venezuela Venezuela ## [1643] Venezuela Venezuela ## [1645] Vietnam Vietnam ## [1647] Vietnam Vietnam ## [1649] Vietnam Vietnam ## [1651] Vietnam Vietnam ## [1653] Vietnam Vietnam ## [1655] Vietnam Vietnam ## [1657] West Bank and Gaza West Bank and Gaza ## [1659] West Bank and Gaza West Bank and Gaza ## [1661] West Bank and Gaza West Bank and Gaza ## [1663] West Bank and Gaza West Bank and Gaza ## [1665] West Bank and Gaza West Bank and Gaza ## [1667] West Bank and Gaza West Bank and Gaza ## [1669] Yemen, Rep. Yemen, Rep. ## [1671] Yemen, Rep. Yemen, Rep. ## [1673] Yemen, Rep. Yemen, Rep. ## [1675] Yemen, Rep. Yemen, Rep. ## [1677] Yemen, Rep. Yemen, Rep. ## [1679] Yemen, Rep. Yemen, Rep. ## [1681] Zambia Zambia ## [1683] Zambia Zambia ## [1685] Zambia Zambia ## [1687] Zambia Zambia ## [1689] Zambia Zambia ## [1691] Zambia Zambia ## [1693] Zimbabwe Zimbabwe ## [1695] Zimbabwe Zimbabwe ## [1697] Zimbabwe Zimbabwe ## [1699] Zimbabwe Zimbabwe ## [1701] Zimbabwe Zimbabwe ## [1703] Zimbabwe Zimbabwe ## 142 Levels: Afghanistan Albania Algeria Angola Argentina Australia ... Zimbabwe
Column names
colnames(clothes)
## [1] "type" "size" "price"
colnames(clothes) <- c("type", "size", "Price") # Mind the uppercase
clothes # See also rename() in the tidyverse
| type | size | Price |
|---|---|---|
| Shirt | Large | 15 |
| Trousers | Small | 59 |
| Skirt | Medium | 35 |
| Underwear | Large | 10 |
| Shirt | Small | 17 |
| Trousers | Medium | 89 |
| Skirt | Large | 48 |
| Underwear | Small | 12 |
| Shirt | Medium | 10 |
| Trousers | Large | 49 |
| Skirt | Small | 29 |
| Underwear | Medium | 9 |
Data: indexing (1/2)
The syntax for DFs & tibbles is: data[index of rows, index of columns].
gapminder[10:15, 1:4] # Lines 10 to 15 and columns 1 to 4
| country | continent | year | lifeExp |
|---|---|---|---|
| Afghanistan | Asia | 1997 | 41.763 |
| Afghanistan | Asia | 2002 | 42.129 |
| Afghanistan | Asia | 2007 | 43.828 |
| Albania | Europe | 1952 | 55.230 |
| Albania | Europe | 1957 | 59.280 |
| Albania | Europe | 1962 | 64.820 |
For vectors, there is only one dimension:
clothes$type[4:7]
## [1] "Underwear" "Shirt" "Trousers" "Skirt"
Data: indexing (2/2)
RE: the syntax is: data[index of rows, index of columns].
Unlike Python, indices start at 1!
diamonds[c(10, 60:63, 9000), c(7, 1:4)] # Lines 10, 60, 61, 62, 63 and 9000 and columns 1 to 4 and 7
| price | carat | cut | color | clarity |
|---|---|---|---|---|
| 338 | 0.23 | Very Good | H | VS1 |
| 405 | 0.30 | Good | I | SI1 |
| 552 | 0.35 | Ideal | I | VS1 |
| 552 | 0.30 | Premium | D | SI1 |
| 552 | 0.30 | Ideal | D | SI1 |
| 4512 | 0.91 | Good | E | SI1 |
Rediscovering filters I: booleans
diamonds$cut == "Good"
## [1] FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE ## [13] FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE TRUE FALSE FALSE FALSE ## [25] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE ## [37] TRUE TRUE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE FALSE TRUE ## [49] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE ## [61] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [73] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [85] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE ## [97] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [109] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [121] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [145] FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## 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[4057] FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE FALSE TRUE FALSE ## [4069] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE TRUE FALSE TRUE ## [4081] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE ## [4093] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE ## [4105] TRUE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE ## [4117] FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE TRUE ## [4129] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [4141] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE ## [4153] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE ## [4165] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE ## [4177] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [4189] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [4201] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## 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[9361] FALSE FALSE FALSE FALSE FALSE TRUE TRUE TRUE FALSE FALSE FALSE FALSE ## [9373] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE ## [9385] FALSE TRUE TRUE TRUE FALSE TRUE FALSE FALSE TRUE TRUE FALSE FALSE ## [9397] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE ## [9409] FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE TRUE FALSE ## [9421] TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [9433] FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE ## [9445] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE ## [9457] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE ## [9469] FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE ## [9481] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE ## [9493] TRUE FALSE FALSE TRUE TRUE FALSE FALSE TRUE FALSE TRUE TRUE FALSE ## [9505] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE ## 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[51793] TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [51805] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [51817] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE ## [51829] FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [51841] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE ## [51853] FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE ## [51865] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE TRUE ## [51877] FALSE TRUE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [51889] FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [51901] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE ## [51913] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE ## [51925] FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE ## [51937] FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE FALSE FALSE FALSE FALSE ## 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[53353] TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53365] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53377] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE ## [53389] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53401] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53413] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53425] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE ## [53437] FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE ## [53449] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53461] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE ## [53473] FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE ## [53485] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53497] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE ## [53509] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53521] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53533] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53545] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE ## [53557] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53569] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE ## [53581] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53593] TRUE TRUE FALSE FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE ## [53605] FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53617] FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE TRUE FALSE FALSE ## [53629] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53641] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE ## [53653] FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53665] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53677] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53689] FALSE FALSE FALSE FALSE TRUE FALSE FALSE TRUE FALSE FALSE FALSE FALSE ## [53701] FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE ## [53713] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE ## [53725] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53737] FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE ## [53749] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE ## [53761] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53773] FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53785] FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53797] FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE ## [53809] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE FALSE FALSE ## [53821] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53833] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE ## [53845] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53857] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53869] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE ## [53881] FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE TRUE FALSE ## [53893] FALSE FALSE FALSE TRUE FALSE TRUE FALSE FALSE FALSE FALSE FALSE FALSE ## [53905] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE TRUE FALSE ## [53917] TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE ## [53929] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE TRUE FALSE FALSE FALSE
Rediscovering filters II: boolean indexing
gapminder[gapminder$country == "France", ] # Mind the comma!
is the same as:
gapminder %>% filter(country == "France") # Which is much better, syntax-wise
| country | continent | year | lifeExp | pop | gdpPercap |
|---|---|---|---|---|---|
| France | Europe | 1952 | 67.410 | 42459667 | 7029.809 |
| France | Europe | 1957 | 68.930 | 44310863 | 8662.835 |
| France | Europe | 1962 | 70.510 | 47124000 | 10560.486 |
| France | Europe | 1967 | 71.550 | 49569000 | 12999.918 |
| France | Europe | 1972 | 72.380 | 51732000 | 16107.192 |
| France | Europe | 1977 | 73.830 | 53165019 | 18292.635 |
| France | Europe | 1982 | 74.890 | 54433565 | 20293.897 |
| France | Europe | 1987 | 76.340 | 55630100 | 22066.442 |
| France | Europe | 1992 | 77.460 | 57374179 | 24703.796 |
| France | Europe | 1997 | 78.640 | 58623428 | 25889.785 |
| France | Europe | 2002 | 79.590 | 59925035 | 28926.032 |
| France | Europe | 2007 | 80.657 | 61083916 | 30470.017 |
Back to basics 2: wrangling
Extracting string sequences
Sometimes, it is useful to remove the beginning or the end of one column (e.g. symbols like $, €).
substr("$100", 2, 4) # substr(text, where_to_start, where_to_stop) SEE ALSO str_remove("$100", "\\$")
## [1] "100"
nchar("blabla") # Number of characters
## [1] 6
And a stupid example: remove first & last characters of a column:
gapminder %>% mutate(country = country %>% substr(2, nchar(as.character(country))-1))
| country | continent | year | lifeExp | pop | gdpPercap |
|---|---|---|---|---|---|
| fghanista | Asia | 1952 | 28.80100 | 8425333 | 779.4453 |
| fghanista | Asia | 1957 | 30.33200 | 9240934 | 820.8530 |
| fghanista | Asia | 1962 | 31.99700 | 10267083 | 853.1007 |
| fghanista | Asia | 1967 | 34.02000 | 11537966 | 836.1971 |
| fghanista | Asia | 1972 | 36.08800 | 13079460 | 739.9811 |
| fghanista | Asia | 1977 | 38.43800 | 14880372 | 786.1134 |
| fghanista | Asia | 1982 | 39.85400 | 12881816 | 978.0114 |
| fghanista | Asia | 1987 | 40.82200 | 13867957 | 852.3959 |
| fghanista | Asia | 1992 | 41.67400 | 16317921 | 649.3414 |
| fghanista | Asia | 1997 | 41.76300 | 22227415 | 635.3414 |
| fghanista | Asia | 2002 | 42.12900 | 25268405 | 726.7341 |
| fghanista | Asia | 2007 | 43.82800 | 31889923 | 974.5803 |
| lbani | Europe | 1952 | 55.23000 | 1282697 | 1601.0561 |
| lbani | Europe | 1957 | 59.28000 | 1476505 | 1942.2842 |
| lbani | Europe | 1962 | 64.82000 | 1728137 | 2312.8890 |
| lbani | Europe | 1967 | 66.22000 | 1984060 | 2760.1969 |
| lbani | Europe | 1972 | 67.69000 | 2263554 | 3313.4222 |
| lbani | Europe | 1977 | 68.93000 | 2509048 | 3533.0039 |
| lbani | Europe | 1982 | 70.42000 | 2780097 | 3630.8807 |
| lbani | Europe | 1987 | 72.00000 | 3075321 | 3738.9327 |
| lbani | Europe | 1992 | 71.58100 | 3326498 | 2497.4379 |
| lbani | Europe | 1997 | 72.95000 | 3428038 | 3193.0546 |
| lbani | Europe | 2002 | 75.65100 | 3508512 | 4604.2117 |
| lbani | Europe | 2007 | 76.42300 | 3600523 | 5937.0295 |
| lgeri | Africa | 1952 | 43.07700 | 9279525 | 2449.0082 |
| lgeri | Africa | 1957 | 45.68500 | 10270856 | 3013.9760 |
| lgeri | Africa | 1962 | 48.30300 | 11000948 | 2550.8169 |
| lgeri | Africa | 1967 | 51.40700 | 12760499 | 3246.9918 |
| lgeri | Africa | 1972 | 54.51800 | 14760787 | 4182.6638 |
| lgeri | Africa | 1977 | 58.01400 | 17152804 | 4910.4168 |
| lgeri | Africa | 1982 | 61.36800 | 20033753 | 5745.1602 |
| lgeri | Africa | 1987 | 65.79900 | 23254956 | 5681.3585 |
| lgeri | Africa | 1992 | 67.74400 | 26298373 | 5023.2166 |
| lgeri | Africa | 1997 | 69.15200 | 29072015 | 4797.2951 |
| lgeri | Africa | 2002 | 70.99400 | 31287142 | 5288.0404 |
| lgeri | Africa | 2007 | 72.30100 | 33333216 | 6223.3675 |
| ngol | Africa | 1952 | 30.01500 | 4232095 | 3520.6103 |
| ngol | Africa | 1957 | 31.99900 | 4561361 | 3827.9405 |
| ngol | Africa | 1962 | 34.00000 | 4826015 | 4269.2767 |
| ngol | Africa | 1967 | 35.98500 | 5247469 | 5522.7764 |
| ngol | Africa | 1972 | 37.92800 | 5894858 | 5473.2880 |
| ngol | Africa | 1977 | 39.48300 | 6162675 | 3008.6474 |
| ngol | Africa | 1982 | 39.94200 | 7016384 | 2756.9537 |
| ngol | Africa | 1987 | 39.90600 | 7874230 | 2430.2083 |
| ngol | Africa | 1992 | 40.64700 | 8735988 | 2627.8457 |
| ngol | Africa | 1997 | 40.96300 | 9875024 | 2277.1409 |
| ngol | Africa | 2002 | 41.00300 | 10866106 | 2773.2873 |
| ngol | Africa | 2007 | 42.73100 | 12420476 | 4797.2313 |
| rgentin | Americas | 1952 | 62.48500 | 17876956 | 5911.3151 |
| rgentin | Americas | 1957 | 64.39900 | 19610538 | 6856.8562 |
| rgentin | Americas | 1962 | 65.14200 | 21283783 | 7133.1660 |
| rgentin | Americas | 1967 | 65.63400 | 22934225 | 8052.9530 |
| rgentin | Americas | 1972 | 67.06500 | 24779799 | 9443.0385 |
| rgentin | Americas | 1977 | 68.48100 | 26983828 | 10079.0267 |
| rgentin | Americas | 1982 | 69.94200 | 29341374 | 8997.8974 |
| rgentin | Americas | 1987 | 70.77400 | 31620918 | 9139.6714 |
| rgentin | Americas | 1992 | 71.86800 | 33958947 | 9308.4187 |
| rgentin | Americas | 1997 | 73.27500 | 36203463 | 10967.2820 |
| rgentin | Americas | 2002 | 74.34000 | 38331121 | 8797.6407 |
| rgentin | Americas | 2007 | 75.32000 | 40301927 | 12779.3796 |
| ustrali | Oceania | 1952 | 69.12000 | 8691212 | 10039.5956 |
| ustrali | Oceania | 1957 | 70.33000 | 9712569 | 10949.6496 |
| ustrali | Oceania | 1962 | 70.93000 | 10794968 | 12217.2269 |
| ustrali | Oceania | 1967 | 71.10000 | 11872264 | 14526.1246 |
| ustrali | Oceania | 1972 | 71.93000 | 13177000 | 16788.6295 |
| ustrali | Oceania | 1977 | 73.49000 | 14074100 | 18334.1975 |
| ustrali | Oceania | 1982 | 74.74000 | 15184200 | 19477.0093 |
| ustrali | Oceania | 1987 | 76.32000 | 16257249 | 21888.8890 |
| ustrali | Oceania | 1992 | 77.56000 | 17481977 | 23424.7668 |
| ustrali | Oceania | 1997 | 78.83000 | 18565243 | 26997.9366 |
| ustrali | Oceania | 2002 | 80.37000 | 19546792 | 30687.7547 |
| ustrali | Oceania | 2007 | 81.23500 | 20434176 | 34435.3674 |
| ustri | Europe | 1952 | 66.80000 | 6927772 | 6137.0765 |
| ustri | Europe | 1957 | 67.48000 | 6965860 | 8842.5980 |
| ustri | Europe | 1962 | 69.54000 | 7129864 | 10750.7211 |
| ustri | Europe | 1967 | 70.14000 | 7376998 | 12834.6024 |
| ustri | Europe | 1972 | 70.63000 | 7544201 | 16661.6256 |
| ustri | Europe | 1977 | 72.17000 | 7568430 | 19749.4223 |
| ustri | Europe | 1982 | 73.18000 | 7574613 | 21597.0836 |
| ustri | Europe | 1987 | 74.94000 | 7578903 | 23687.8261 |
| ustri | Europe | 1992 | 76.04000 | 7914969 | 27042.0187 |
| ustri | Europe | 1997 | 77.51000 | 8069876 | 29095.9207 |
| ustri | Europe | 2002 | 78.98000 | 8148312 | 32417.6077 |
| ustri | Europe | 2007 | 79.82900 | 8199783 | 36126.4927 |
| ahrai | Asia | 1952 | 50.93900 | 120447 | 9867.0848 |
| ahrai | Asia | 1957 | 53.83200 | 138655 | 11635.7995 |
| ahrai | Asia | 1962 | 56.92300 | 171863 | 12753.2751 |
| ahrai | Asia | 1967 | 59.92300 | 202182 | 14804.6727 |
| ahrai | Asia | 1972 | 63.30000 | 230800 | 18268.6584 |
| ahrai | Asia | 1977 | 65.59300 | 297410 | 19340.1020 |
| ahrai | Asia | 1982 | 69.05200 | 377967 | 19211.1473 |
| ahrai | Asia | 1987 | 70.75000 | 454612 | 18524.0241 |
| ahrai | Asia | 1992 | 72.60100 | 529491 | 19035.5792 |
| ahrai | Asia | 1997 | 73.92500 | 598561 | 20292.0168 |
| ahrai | Asia | 2002 | 74.79500 | 656397 | 23403.5593 |
| ahrai | Asia | 2007 | 75.63500 | 708573 | 29796.0483 |
| anglades | Asia | 1952 | 37.48400 | 46886859 | 684.2442 |
| anglades | Asia | 1957 | 39.34800 | 51365468 | 661.6375 |
| anglades | Asia | 1962 | 41.21600 | 56839289 | 686.3416 |
| anglades | Asia | 1967 | 43.45300 | 62821884 | 721.1861 |
| anglades | Asia | 1972 | 45.25200 | 70759295 | 630.2336 |
| anglades | Asia | 1977 | 46.92300 | 80428306 | 659.8772 |
| anglades | Asia | 1982 | 50.00900 | 93074406 | 676.9819 |
| anglades | Asia | 1987 | 52.81900 | 103764241 | 751.9794 |
| anglades | Asia | 1992 | 56.01800 | 113704579 | 837.8102 |
| anglades | Asia | 1997 | 59.41200 | 123315288 | 972.7700 |
| anglades | Asia | 2002 | 62.01300 | 135656790 | 1136.3904 |
| anglades | Asia | 2007 | 64.06200 | 150448339 | 1391.2538 |
| elgiu | Europe | 1952 | 68.00000 | 8730405 | 8343.1051 |
| elgiu | Europe | 1957 | 69.24000 | 8989111 | 9714.9606 |
| elgiu | Europe | 1962 | 70.25000 | 9218400 | 10991.2068 |
| elgiu | Europe | 1967 | 70.94000 | 9556500 | 13149.0412 |
| elgiu | Europe | 1972 | 71.44000 | 9709100 | 16672.1436 |
| elgiu | Europe | 1977 | 72.80000 | 9821800 | 19117.9745 |
| elgiu | Europe | 1982 | 73.93000 | 9856303 | 20979.8459 |
| elgiu | Europe | 1987 | 75.35000 | 9870200 | 22525.5631 |
| elgiu | Europe | 1992 | 76.46000 | 10045622 | 25575.5707 |
| elgiu | Europe | 1997 | 77.53000 | 10199787 | 27561.1966 |
| elgiu | Europe | 2002 | 78.32000 | 10311970 | 30485.8838 |
| elgiu | Europe | 2007 | 79.44100 | 10392226 | 33692.6051 |
| eni | Africa | 1952 | 38.22300 | 1738315 | 1062.7522 |
| eni | Africa | 1957 | 40.35800 | 1925173 | 959.6011 |
| eni | Africa | 1962 | 42.61800 | 2151895 | 949.4991 |
| eni | Africa | 1967 | 44.88500 | 2427334 | 1035.8314 |
| eni | Africa | 1972 | 47.01400 | 2761407 | 1085.7969 |
| eni | Africa | 1977 | 49.19000 | 3168267 | 1029.1613 |
| eni | Africa | 1982 | 50.90400 | 3641603 | 1277.8976 |
| eni | Africa | 1987 | 52.33700 | 4243788 | 1225.8560 |
| eni | Africa | 1992 | 53.91900 | 4981671 | 1191.2077 |
| eni | Africa | 1997 | 54.77700 | 6066080 | 1232.9753 |
| eni | Africa | 2002 | 54.40600 | 7026113 | 1372.8779 |
| eni | Africa | 2007 | 56.72800 | 8078314 | 1441.2849 |
| olivi | Americas | 1952 | 40.41400 | 2883315 | 2677.3263 |
| olivi | Americas | 1957 | 41.89000 | 3211738 | 2127.6863 |
| olivi | Americas | 1962 | 43.42800 | 3593918 | 2180.9725 |
| olivi | Americas | 1967 | 45.03200 | 4040665 | 2586.8861 |
| olivi | Americas | 1972 | 46.71400 | 4565872 | 2980.3313 |
| olivi | Americas | 1977 | 50.02300 | 5079716 | 3548.0978 |
| olivi | Americas | 1982 | 53.85900 | 5642224 | 3156.5105 |
| olivi | Americas | 1987 | 57.25100 | 6156369 | 2753.6915 |
| olivi | Americas | 1992 | 59.95700 | 6893451 | 2961.6997 |
| olivi | Americas | 1997 | 62.05000 | 7693188 | 3326.1432 |
| olivi | Americas | 2002 | 63.88300 | 8445134 | 3413.2627 |
| olivi | Americas | 2007 | 65.55400 | 9119152 | 3822.1371 |
| osnia and Herzegovin | Europe | 1952 | 53.82000 | 2791000 | 973.5332 |
| osnia and Herzegovin | Europe | 1957 | 58.45000 | 3076000 | 1353.9892 |
| osnia and Herzegovin | Europe | 1962 | 61.93000 | 3349000 | 1709.6837 |
| osnia and Herzegovin | Europe | 1967 | 64.79000 | 3585000 | 2172.3524 |
| osnia and Herzegovin | Europe | 1972 | 67.45000 | 3819000 | 2860.1698 |
| osnia and Herzegovin | Europe | 1977 | 69.86000 | 4086000 | 3528.4813 |
| osnia and Herzegovin | Europe | 1982 | 70.69000 | 4172693 | 4126.6132 |
| osnia and Herzegovin | Europe | 1987 | 71.14000 | 4338977 | 4314.1148 |
| osnia and Herzegovin | Europe | 1992 | 72.17800 | 4256013 | 2546.7814 |
| osnia and Herzegovin | Europe | 1997 | 73.24400 | 3607000 | 4766.3559 |
| osnia and Herzegovin | Europe | 2002 | 74.09000 | 4165416 | 6018.9752 |
| osnia and Herzegovin | Europe | 2007 | 74.85200 | 4552198 | 7446.2988 |
| otswan | Africa | 1952 | 47.62200 | 442308 | 851.2411 |
| otswan | Africa | 1957 | 49.61800 | 474639 | 918.2325 |
| otswan | Africa | 1962 | 51.52000 | 512764 | 983.6540 |
| otswan | Africa | 1967 | 53.29800 | 553541 | 1214.7093 |
| otswan | Africa | 1972 | 56.02400 | 619351 | 2263.6111 |
| otswan | Africa | 1977 | 59.31900 | 781472 | 3214.8578 |
| otswan | Africa | 1982 | 61.48400 | 970347 | 4551.1421 |
| otswan | Africa | 1987 | 63.62200 | 1151184 | 6205.8839 |
| otswan | Africa | 1992 | 62.74500 | 1342614 | 7954.1116 |
| otswan | Africa | 1997 | 52.55600 | 1536536 | 8647.1423 |
| otswan | Africa | 2002 | 46.63400 | 1630347 | 11003.6051 |
| otswan | Africa | 2007 | 50.72800 | 1639131 | 12569.8518 |
| razi | Americas | 1952 | 50.91700 | 56602560 | 2108.9444 |
| razi | Americas | 1957 | 53.28500 | 65551171 | 2487.3660 |
| razi | Americas | 1962 | 55.66500 | 76039390 | 3336.5858 |
| razi | Americas | 1967 | 57.63200 | 88049823 | 3429.8644 |
| razi | Americas | 1972 | 59.50400 | 100840058 | 4985.7115 |
| razi | Americas | 1977 | 61.48900 | 114313951 | 6660.1187 |
| razi | Americas | 1982 | 63.33600 | 128962939 | 7030.8359 |
| razi | Americas | 1987 | 65.20500 | 142938076 | 7807.0958 |
| razi | Americas | 1992 | 67.05700 | 155975974 | 6950.2830 |
| razi | Americas | 1997 | 69.38800 | 168546719 | 7957.9808 |
| razi | Americas | 2002 | 71.00600 | 179914212 | 8131.2128 |
| razi | Americas | 2007 | 72.39000 | 190010647 | 9065.8008 |
| ulgari | Europe | 1952 | 59.60000 | 7274900 | 2444.2866 |
| ulgari | Europe | 1957 | 66.61000 | 7651254 | 3008.6707 |
| ulgari | Europe | 1962 | 69.51000 | 8012946 | 4254.3378 |
| ulgari | Europe | 1967 | 70.42000 | 8310226 | 5577.0028 |
| ulgari | Europe | 1972 | 70.90000 | 8576200 | 6597.4944 |
| ulgari | Europe | 1977 | 70.81000 | 8797022 | 7612.2404 |
| ulgari | Europe | 1982 | 71.08000 | 8892098 | 8224.1916 |
| ulgari | Europe | 1987 | 71.34000 | 8971958 | 8239.8548 |
| ulgari | Europe | 1992 | 71.19000 | 8658506 | 6302.6234 |
| ulgari | Europe | 1997 | 70.32000 | 8066057 | 5970.3888 |
| ulgari | Europe | 2002 | 72.14000 | 7661799 | 7696.7777 |
| ulgari | Europe | 2007 | 73.00500 | 7322858 | 10680.7928 |
| urkina Fas | Africa | 1952 | 31.97500 | 4469979 | 543.2552 |
| urkina Fas | Africa | 1957 | 34.90600 | 4713416 | 617.1835 |
| urkina Fas | Africa | 1962 | 37.81400 | 4919632 | 722.5120 |
| urkina Fas | Africa | 1967 | 40.69700 | 5127935 | 794.8266 |
| urkina Fas | Africa | 1972 | 43.59100 | 5433886 | 854.7360 |
| urkina Fas | Africa | 1977 | 46.13700 | 5889574 | 743.3870 |
| urkina Fas | Africa | 1982 | 48.12200 | 6634596 | 807.1986 |
| urkina Fas | Africa | 1987 | 49.55700 | 7586551 | 912.0631 |
| urkina Fas | Africa | 1992 | 50.26000 | 8878303 | 931.7528 |
| urkina Fas | Africa | 1997 | 50.32400 | 10352843 | 946.2950 |
| urkina Fas | Africa | 2002 | 50.65000 | 12251209 | 1037.6452 |
| urkina Fas | Africa | 2007 | 52.29500 | 14326203 | 1217.0330 |
| urund | Africa | 1952 | 39.03100 | 2445618 | 339.2965 |
| urund | Africa | 1957 | 40.53300 | 2667518 | 379.5646 |
| urund | Africa | 1962 | 42.04500 | 2961915 | 355.2032 |
| urund | Africa | 1967 | 43.54800 | 3330989 | 412.9775 |
| urund | Africa | 1972 | 44.05700 | 3529983 | 464.0995 |
| urund | Africa | 1977 | 45.91000 | 3834415 | 556.1033 |
| urund | Africa | 1982 | 47.47100 | 4580410 | 559.6032 |
| urund | Africa | 1987 | 48.21100 | 5126023 | 621.8188 |
| urund | Africa | 1992 | 44.73600 | 5809236 | 631.6999 |
| urund | Africa | 1997 | 45.32600 | 6121610 | 463.1151 |
| urund | Africa | 2002 | 47.36000 | 7021078 | 446.4035 |
| urund | Africa | 2007 | 49.58000 | 8390505 | 430.0707 |
| ambodi | Asia | 1952 | 39.41700 | 4693836 | 368.4693 |
| ambodi | Asia | 1957 | 41.36600 | 5322536 | 434.0383 |
| ambodi | Asia | 1962 | 43.41500 | 6083619 | 496.9136 |
| ambodi | Asia | 1967 | 45.41500 | 6960067 | 523.4323 |
| ambodi | Asia | 1972 | 40.31700 | 7450606 | 421.6240 |
| ambodi | Asia | 1977 | 31.22000 | 6978607 | 524.9722 |
| ambodi | Asia | 1982 | 50.95700 | 7272485 | 624.4755 |
| ambodi | Asia | 1987 | 53.91400 | 8371791 | 683.8956 |
| ambodi | Asia | 1992 | 55.80300 | 10150094 | 682.3032 |
| ambodi | Asia | 1997 | 56.53400 | 11782962 | 734.2852 |
| ambodi | Asia | 2002 | 56.75200 | 12926707 | 896.2260 |
| ambodi | Asia | 2007 | 59.72300 | 14131858 | 1713.7787 |
| ameroo | Africa | 1952 | 38.52300 | 5009067 | 1172.6677 |
| ameroo | Africa | 1957 | 40.42800 | 5359923 | 1313.0481 |
| ameroo | Africa | 1962 | 42.64300 | 5793633 | 1399.6074 |
| ameroo | Africa | 1967 | 44.79900 | 6335506 | 1508.4531 |
| ameroo | Africa | 1972 | 47.04900 | 7021028 | 1684.1465 |
| ameroo | Africa | 1977 | 49.35500 | 7959865 | 1783.4329 |
| ameroo | Africa | 1982 | 52.96100 | 9250831 | 2367.9833 |
| ameroo | Africa | 1987 | 54.98500 | 10780667 | 2602.6642 |
| ameroo | Africa | 1992 | 54.31400 | 12467171 | 1793.1633 |
| ameroo | Africa | 1997 | 52.19900 | 14195809 | 1694.3375 |
| ameroo | Africa | 2002 | 49.85600 | 15929988 | 1934.0114 |
| ameroo | Africa | 2007 | 50.43000 | 17696293 | 2042.0952 |
| anad | Americas | 1952 | 68.75000 | 14785584 | 11367.1611 |
| anad | Americas | 1957 | 69.96000 | 17010154 | 12489.9501 |
| anad | Americas | 1962 | 71.30000 | 18985849 | 13462.4855 |
| anad | Americas | 1967 | 72.13000 | 20819767 | 16076.5880 |
| anad | Americas | 1972 | 72.88000 | 22284500 | 18970.5709 |
| anad | Americas | 1977 | 74.21000 | 23796400 | 22090.8831 |
| anad | Americas | 1982 | 75.76000 | 25201900 | 22898.7921 |
| anad | Americas | 1987 | 76.86000 | 26549700 | 26626.5150 |
| anad | Americas | 1992 | 77.95000 | 28523502 | 26342.8843 |
| anad | Americas | 1997 | 78.61000 | 30305843 | 28954.9259 |
| anad | Americas | 2002 | 79.77000 | 31902268 | 33328.9651 |
| anad | Americas | 2007 | 80.65300 | 33390141 | 36319.2350 |
| entral African Republi | Africa | 1952 | 35.46300 | 1291695 | 1071.3107 |
| entral African Republi | Africa | 1957 | 37.46400 | 1392284 | 1190.8443 |
| entral African Republi | Africa | 1962 | 39.47500 | 1523478 | 1193.0688 |
| entral African Republi | Africa | 1967 | 41.47800 | 1733638 | 1136.0566 |
| entral African Republi | Africa | 1972 | 43.45700 | 1927260 | 1070.0133 |
| entral African Republi | Africa | 1977 | 46.77500 | 2167533 | 1109.3743 |
| entral African Republi | Africa | 1982 | 48.29500 | 2476971 | 956.7530 |
| entral African Republi | Africa | 1987 | 50.48500 | 2840009 | 844.8764 |
| entral African Republi | Africa | 1992 | 49.39600 | 3265124 | 747.9055 |
| entral African Republi | Africa | 1997 | 46.06600 | 3696513 | 740.5063 |
| entral African Republi | Africa | 2002 | 43.30800 | 4048013 | 738.6906 |
| entral African Republi | Africa | 2007 | 44.74100 | 4369038 | 706.0165 |
| ha | Africa | 1952 | 38.09200 | 2682462 | 1178.6659 |
| ha | Africa | 1957 | 39.88100 | 2894855 | 1308.4956 |
| ha | Africa | 1962 | 41.71600 | 3150417 | 1389.8176 |
| ha | Africa | 1967 | 43.60100 | 3495967 | 1196.8106 |
| ha | Africa | 1972 | 45.56900 | 3899068 | 1104.1040 |
| ha | Africa | 1977 | 47.38300 | 4388260 | 1133.9850 |
| ha | Africa | 1982 | 49.51700 | 4875118 | 797.9081 |
| ha | Africa | 1987 | 51.05100 | 5498955 | 952.3861 |
| ha | Africa | 1992 | 51.72400 | 6429417 | 1058.0643 |
| ha | Africa | 1997 | 51.57300 | 7562011 | 1004.9614 |
| ha | Africa | 2002 | 50.52500 | 8835739 | 1156.1819 |
| ha | Africa | 2007 | 50.65100 | 10238807 | 1704.0637 |
| hil | Americas | 1952 | 54.74500 | 6377619 | 3939.9788 |
| hil | Americas | 1957 | 56.07400 | 7048426 | 4315.6227 |
| hil | Americas | 1962 | 57.92400 | 7961258 | 4519.0943 |
| hil | Americas | 1967 | 60.52300 | 8858908 | 5106.6543 |
| hil | Americas | 1972 | 63.44100 | 9717524 | 5494.0244 |
| hil | Americas | 1977 | 67.05200 | 10599793 | 4756.7638 |
| hil | Americas | 1982 | 70.56500 | 11487112 | 5095.6657 |
| hil | Americas | 1987 | 72.49200 | 12463354 | 5547.0638 |
| hil | Americas | 1992 | 74.12600 | 13572994 | 7596.1260 |
| hil | Americas | 1997 | 75.81600 | 14599929 | 10118.0532 |
| hil | Americas | 2002 | 77.86000 | 15497046 | 10778.7838 |
| hil | Americas | 2007 | 78.55300 | 16284741 | 13171.6388 |
| hin | Asia | 1952 | 44.00000 | 556263527 | 400.4486 |
| hin | Asia | 1957 | 50.54896 | 637408000 | 575.9870 |
| hin | Asia | 1962 | 44.50136 | 665770000 | 487.6740 |
| hin | Asia | 1967 | 58.38112 | 754550000 | 612.7057 |
| hin | Asia | 1972 | 63.11888 | 862030000 | 676.9001 |
| hin | Asia | 1977 | 63.96736 | 943455000 | 741.2375 |
| hin | Asia | 1982 | 65.52500 | 1000281000 | 962.4214 |
| hin | Asia | 1987 | 67.27400 | 1084035000 | 1378.9040 |
| hin | Asia | 1992 | 68.69000 | 1164970000 | 1655.7842 |
| hin | Asia | 1997 | 70.42600 | 1230075000 | 2289.2341 |
| hin | Asia | 2002 | 72.02800 | 1280400000 | 3119.2809 |
| hin | Asia | 2007 | 72.96100 | 1318683096 | 4959.1149 |
| olombi | Americas | 1952 | 50.64300 | 12350771 | 2144.1151 |
| olombi | Americas | 1957 | 55.11800 | 14485993 | 2323.8056 |
| olombi | Americas | 1962 | 57.86300 | 17009885 | 2492.3511 |
| olombi | Americas | 1967 | 59.96300 | 19764027 | 2678.7298 |
| olombi | Americas | 1972 | 61.62300 | 22542890 | 3264.6600 |
| olombi | Americas | 1977 | 63.83700 | 25094412 | 3815.8079 |
| olombi | Americas | 1982 | 66.65300 | 27764644 | 4397.5757 |
| olombi | Americas | 1987 | 67.76800 | 30964245 | 4903.2191 |
| olombi | Americas | 1992 | 68.42100 | 34202721 | 5444.6486 |
| olombi | Americas | 1997 | 70.31300 | 37657830 | 6117.3617 |
| olombi | Americas | 2002 | 71.68200 | 41008227 | 5755.2600 |
| olombi | Americas | 2007 | 72.88900 | 44227550 | 7006.5804 |
| omoro | Africa | 1952 | 40.71500 | 153936 | 1102.9909 |
| omoro | Africa | 1957 | 42.46000 | 170928 | 1211.1485 |
| omoro | Africa | 1962 | 44.46700 | 191689 | 1406.6483 |
| omoro | Africa | 1967 | 46.47200 | 217378 | 1876.0296 |
| omoro | Africa | 1972 | 48.94400 | 250027 | 1937.5777 |
| omoro | Africa | 1977 | 50.93900 | 304739 | 1172.6030 |
| omoro | Africa | 1982 | 52.93300 | 348643 | 1267.1001 |
| omoro | Africa | 1987 | 54.92600 | 395114 | 1315.9808 |
| omoro | Africa | 1992 | 57.93900 | 454429 | 1246.9074 |
| omoro | Africa | 1997 | 60.66000 | 527982 | 1173.6182 |
| omoro | Africa | 2002 | 62.97400 | 614382 | 1075.8116 |
| omoro | Africa | 2007 | 65.15200 | 710960 | 986.1479 |
| ongo, Dem. Rep | Africa | 1952 | 39.14300 | 14100005 | 780.5423 |
| ongo, Dem. Rep | Africa | 1957 | 40.65200 | 15577932 | 905.8602 |
| ongo, Dem. Rep | Africa | 1962 | 42.12200 | 17486434 | 896.3146 |
| ongo, Dem. Rep | Africa | 1967 | 44.05600 | 19941073 | 861.5932 |
| ongo, Dem. Rep | Africa | 1972 | 45.98900 | 23007669 | 904.8961 |
| ongo, Dem. Rep | Africa | 1977 | 47.80400 | 26480870 | 795.7573 |
| ongo, Dem. Rep | Africa | 1982 | 47.78400 | 30646495 | 673.7478 |
| ongo, Dem. Rep | Africa | 1987 | 47.41200 | 35481645 | 672.7748 |
| ongo, Dem. Rep | Africa | 1992 | 45.54800 | 41672143 | 457.7192 |
| ongo, Dem. Rep | Africa | 1997 | 42.58700 | 47798986 | 312.1884 |
| ongo, Dem. Rep | Africa | 2002 | 44.96600 | 55379852 | 241.1659 |
| ongo, Dem. Rep | Africa | 2007 | 46.46200 | 64606759 | 277.5519 |
| ongo, Rep | Africa | 1952 | 42.11100 | 854885 | 2125.6214 |
| ongo, Rep | Africa | 1957 | 45.05300 | 940458 | 2315.0566 |
| ongo, Rep | Africa | 1962 | 48.43500 | 1047924 | 2464.7832 |
| ongo, Rep | Africa | 1967 | 52.04000 | 1179760 | 2677.9396 |
| ongo, Rep | Africa | 1972 | 54.90700 | 1340458 | 3213.1527 |
| ongo, Rep | Africa | 1977 | 55.62500 | 1536769 | 3259.1790 |
| ongo, Rep | Africa | 1982 | 56.69500 | 1774735 | 4879.5075 |
| ongo, Rep | Africa | 1987 | 57.47000 | 2064095 | 4201.1949 |
| ongo, Rep | Africa | 1992 | 56.43300 | 2409073 | 4016.2395 |
| ongo, Rep | Africa | 1997 | 52.96200 | 2800947 | 3484.1644 |
| ongo, Rep | Africa | 2002 | 52.97000 | 3328795 | 3484.0620 |
| ongo, Rep | Africa | 2007 | 55.32200 | 3800610 | 3632.5578 |
| osta Ric | Americas | 1952 | 57.20600 | 926317 | 2627.0095 |
| osta Ric | Americas | 1957 | 60.02600 | 1112300 | 2990.0108 |
| osta Ric | Americas | 1962 | 62.84200 | 1345187 | 3460.9370 |
| osta Ric | Americas | 1967 | 65.42400 | 1588717 | 4161.7278 |
| osta Ric | Americas | 1972 | 67.84900 | 1834796 | 5118.1469 |
| osta Ric | Americas | 1977 | 70.75000 | 2108457 | 5926.8770 |
| osta Ric | Americas | 1982 | 73.45000 | 2424367 | 5262.7348 |
| osta Ric | Americas | 1987 | 74.75200 | 2799811 | 5629.9153 |
| osta Ric | Americas | 1992 | 75.71300 | 3173216 | 6160.4163 |
| osta Ric | Americas | 1997 | 77.26000 | 3518107 | 6677.0453 |
| osta Ric | Americas | 2002 | 78.12300 | 3834934 | 7723.4472 |
| osta Ric | Americas | 2007 | 78.78200 | 4133884 | 9645.0614 |
| ote d’Ivoir | Africa | 1952 | 40.47700 | 2977019 | 1388.5947 |
| ote d’Ivoir | Africa | 1957 | 42.46900 | 3300000 | 1500.8959 |
| ote d’Ivoir | Africa | 1962 | 44.93000 | 3832408 | 1728.8694 |
| ote d’Ivoir | Africa | 1967 | 47.35000 | 4744870 | 2052.0505 |
| ote d’Ivoir | Africa | 1972 | 49.80100 | 6071696 | 2378.2011 |
| ote d’Ivoir | Africa | 1977 | 52.37400 | 7459574 | 2517.7365 |
| ote d’Ivoir | Africa | 1982 | 53.98300 | 9025951 | 2602.7102 |
| ote d’Ivoir | Africa | 1987 | 54.65500 | 10761098 | 2156.9561 |
| ote d’Ivoir | Africa | 1992 | 52.04400 | 12772596 | 1648.0738 |
| ote d’Ivoir | Africa | 1997 | 47.99100 | 14625967 | 1786.2654 |
| ote d’Ivoir | Africa | 2002 | 46.83200 | 16252726 | 1648.8008 |
| ote d’Ivoir | Africa | 2007 | 48.32800 | 18013409 | 1544.7501 |
| roati | Europe | 1952 | 61.21000 | 3882229 | 3119.2365 |
| roati | Europe | 1957 | 64.77000 | 3991242 | 4338.2316 |
| roati | Europe | 1962 | 67.13000 | 4076557 | 5477.8900 |
| roati | Europe | 1967 | 68.50000 | 4174366 | 6960.2979 |
| roati | Europe | 1972 | 69.61000 | 4225310 | 9164.0901 |
| roati | Europe | 1977 | 70.64000 | 4318673 | 11305.3852 |
| roati | Europe | 1982 | 70.46000 | 4413368 | 13221.8218 |
| roati | Europe | 1987 | 71.52000 | 4484310 | 13822.5839 |
| roati | Europe | 1992 | 72.52700 | 4494013 | 8447.7949 |
| roati | Europe | 1997 | 73.68000 | 4444595 | 9875.6045 |
| roati | Europe | 2002 | 74.87600 | 4481020 | 11628.3890 |
| roati | Europe | 2007 | 75.74800 | 4493312 | 14619.2227 |
| ub | Americas | 1952 | 59.42100 | 6007797 | 5586.5388 |
| ub | Americas | 1957 | 62.32500 | 6640752 | 6092.1744 |
| ub | Americas | 1962 | 65.24600 | 7254373 | 5180.7559 |
| ub | Americas | 1967 | 68.29000 | 8139332 | 5690.2680 |
| ub | Americas | 1972 | 70.72300 | 8831348 | 5305.4453 |
| ub | Americas | 1977 | 72.64900 | 9537988 | 6380.4950 |
| ub | Americas | 1982 | 73.71700 | 9789224 | 7316.9181 |
| ub | Americas | 1987 | 74.17400 | 10239839 | 7532.9248 |
| ub | Americas | 1992 | 74.41400 | 10723260 | 5592.8440 |
| ub | Americas | 1997 | 76.15100 | 10983007 | 5431.9904 |
| ub | Americas | 2002 | 77.15800 | 11226999 | 6340.6467 |
| ub | Americas | 2007 | 78.27300 | 11416987 | 8948.1029 |
| zech Republi | Europe | 1952 | 66.87000 | 9125183 | 6876.1403 |
| zech Republi | Europe | 1957 | 69.03000 | 9513758 | 8256.3439 |
| zech Republi | Europe | 1962 | 69.90000 | 9620282 | 10136.8671 |
| zech Republi | Europe | 1967 | 70.38000 | 9835109 | 11399.4449 |
| zech Republi | Europe | 1972 | 70.29000 | 9862158 | 13108.4536 |
| zech Republi | Europe | 1977 | 70.71000 | 10161915 | 14800.1606 |
| zech Republi | Europe | 1982 | 70.96000 | 10303704 | 15377.2285 |
| zech Republi | Europe | 1987 | 71.58000 | 10311597 | 16310.4434 |
| zech Republi | Europe | 1992 | 72.40000 | 10315702 | 14297.0212 |
| zech Republi | Europe | 1997 | 74.01000 | 10300707 | 16048.5142 |
| zech Republi | Europe | 2002 | 75.51000 | 10256295 | 17596.2102 |
| zech Republi | Europe | 2007 | 76.48600 | 10228744 | 22833.3085 |
| enmar | Europe | 1952 | 70.78000 | 4334000 | 9692.3852 |
| enmar | Europe | 1957 | 71.81000 | 4487831 | 11099.6593 |
| enmar | Europe | 1962 | 72.35000 | 4646899 | 13583.3135 |
| enmar | Europe | 1967 | 72.96000 | 4838800 | 15937.2112 |
| enmar | Europe | 1972 | 73.47000 | 4991596 | 18866.2072 |
| enmar | Europe | 1977 | 74.69000 | 5088419 | 20422.9015 |
| enmar | Europe | 1982 | 74.63000 | 5117810 | 21688.0405 |
| enmar | Europe | 1987 | 74.80000 | 5127024 | 25116.1758 |
| enmar | Europe | 1992 | 75.33000 | 5171393 | 26406.7399 |
| enmar | Europe | 1997 | 76.11000 | 5283663 | 29804.3457 |
| enmar | Europe | 2002 | 77.18000 | 5374693 | 32166.5001 |
| enmar | Europe | 2007 | 78.33200 | 5468120 | 35278.4187 |
| jibout | Africa | 1952 | 34.81200 | 63149 | 2669.5295 |
| jibout | Africa | 1957 | 37.32800 | 71851 | 2864.9691 |
| jibout | Africa | 1962 | 39.69300 | 89898 | 3020.9893 |
| jibout | Africa | 1967 | 42.07400 | 127617 | 3020.0505 |
| jibout | Africa | 1972 | 44.36600 | 178848 | 3694.2124 |
| jibout | Africa | 1977 | 46.51900 | 228694 | 3081.7610 |
| jibout | Africa | 1982 | 48.81200 | 305991 | 2879.4681 |
| jibout | Africa | 1987 | 50.04000 | 311025 | 2880.1026 |
| jibout | Africa | 1992 | 51.60400 | 384156 | 2377.1562 |
| jibout | Africa | 1997 | 53.15700 | 417908 | 1895.0170 |
| jibout | Africa | 2002 | 53.37300 | 447416 | 1908.2609 |
| jibout | Africa | 2007 | 54.79100 | 496374 | 2082.4816 |
| ominican Republi | Americas | 1952 | 45.92800 | 2491346 | 1397.7171 |
| ominican Republi | Americas | 1957 | 49.82800 | 2923186 | 1544.4030 |
| ominican Republi | Americas | 1962 | 53.45900 | 3453434 | 1662.1374 |
| ominican Republi | Americas | 1967 | 56.75100 | 4049146 | 1653.7230 |
| ominican Republi | Americas | 1972 | 59.63100 | 4671329 | 2189.8745 |
| ominican Republi | Americas | 1977 | 61.78800 | 5302800 | 2681.9889 |
| ominican Republi | Americas | 1982 | 63.72700 | 5968349 | 2861.0924 |
| ominican Republi | Americas | 1987 | 66.04600 | 6655297 | 2899.8422 |
| ominican Republi | Americas | 1992 | 68.45700 | 7351181 | 3044.2142 |
| ominican Republi | Americas | 1997 | 69.95700 | 7992357 | 3614.1013 |
| ominican Republi | Americas | 2002 | 70.84700 | 8650322 | 4563.8082 |
| ominican Republi | Americas | 2007 | 72.23500 | 9319622 | 6025.3748 |
| cuado | Americas | 1952 | 48.35700 | 3548753 | 3522.1107 |
| cuado | Americas | 1957 | 51.35600 | 4058385 | 3780.5467 |
| cuado | Americas | 1962 | 54.64000 | 4681707 | 4086.1141 |
| cuado | Americas | 1967 | 56.67800 | 5432424 | 4579.0742 |
| cuado | Americas | 1972 | 58.79600 | 6298651 | 5280.9947 |
| cuado | Americas | 1977 | 61.31000 | 7278866 | 6679.6233 |
| cuado | Americas | 1982 | 64.34200 | 8365850 | 7213.7913 |
| cuado | Americas | 1987 | 67.23100 | 9545158 | 6481.7770 |
| cuado | Americas | 1992 | 69.61300 | 10748394 | 7103.7026 |
| cuado | Americas | 1997 | 72.31200 | 11911819 | 7429.4559 |
| cuado | Americas | 2002 | 74.17300 | 12921234 | 5773.0445 |
| cuado | Americas | 2007 | 74.99400 | 13755680 | 6873.2623 |
| gyp | Africa | 1952 | 41.89300 | 22223309 | 1418.8224 |
| gyp | Africa | 1957 | 44.44400 | 25009741 | 1458.9153 |
| gyp | Africa | 1962 | 46.99200 | 28173309 | 1693.3359 |
| gyp | Africa | 1967 | 49.29300 | 31681188 | 1814.8807 |
| gyp | Africa | 1972 | 51.13700 | 34807417 | 2024.0081 |
| gyp | Africa | 1977 | 53.31900 | 38783863 | 2785.4936 |
| gyp | Africa | 1982 | 56.00600 | 45681811 | 3503.7296 |
| gyp | Africa | 1987 | 59.79700 | 52799062 | 3885.4607 |
| gyp | Africa | 1992 | 63.67400 | 59402198 | 3794.7552 |
| gyp | Africa | 1997 | 67.21700 | 66134291 | 4173.1818 |
| gyp | Africa | 2002 | 69.80600 | 73312559 | 4754.6044 |
| gyp | Africa | 2007 | 71.33800 | 80264543 | 5581.1810 |
| l Salvado | Americas | 1952 | 45.26200 | 2042865 | 3048.3029 |
| l Salvado | Americas | 1957 | 48.57000 | 2355805 | 3421.5232 |
| l Salvado | Americas | 1962 | 52.30700 | 2747687 | 3776.8036 |
| l Salvado | Americas | 1967 | 55.85500 | 3232927 | 4358.5954 |
| l Salvado | Americas | 1972 | 58.20700 | 3790903 | 4520.2460 |
| l Salvado | Americas | 1977 | 56.69600 | 4282586 | 5138.9224 |
| l Salvado | Americas | 1982 | 56.60400 | 4474873 | 4098.3442 |
| l Salvado | Americas | 1987 | 63.15400 | 4842194 | 4140.4421 |
| l Salvado | Americas | 1992 | 66.79800 | 5274649 | 4444.2317 |
| l Salvado | Americas | 1997 | 69.53500 | 5783439 | 5154.8255 |
| l Salvado | Americas | 2002 | 70.73400 | 6353681 | 5351.5687 |
| l Salvado | Americas | 2007 | 71.87800 | 6939688 | 5728.3535 |
| quatorial Guine | Africa | 1952 | 34.48200 | 216964 | 375.6431 |
| quatorial Guine | Africa | 1957 | 35.98300 | 232922 | 426.0964 |
| quatorial Guine | Africa | 1962 | 37.48500 | 249220 | 582.8420 |
| quatorial Guine | Africa | 1967 | 38.98700 | 259864 | 915.5960 |
| quatorial Guine | Africa | 1972 | 40.51600 | 277603 | 672.4123 |
| quatorial Guine | Africa | 1977 | 42.02400 | 192675 | 958.5668 |
| quatorial Guine | Africa | 1982 | 43.66200 | 285483 | 927.8253 |
| quatorial Guine | Africa | 1987 | 45.66400 | 341244 | 966.8968 |
| quatorial Guine | Africa | 1992 | 47.54500 | 387838 | 1132.0550 |
| quatorial Guine | Africa | 1997 | 48.24500 | 439971 | 2814.4808 |
| quatorial Guine | Africa | 2002 | 49.34800 | 495627 | 7703.4959 |
| quatorial Guine | Africa | 2007 | 51.57900 | 551201 | 12154.0897 |
| ritre | Africa | 1952 | 35.92800 | 1438760 | 328.9406 |
| ritre | Africa | 1957 | 38.04700 | 1542611 | 344.1619 |
| ritre | Africa | 1962 | 40.15800 | 1666618 | 380.9958 |
| ritre | Africa | 1967 | 42.18900 | 1820319 | 468.7950 |
| ritre | Africa | 1972 | 44.14200 | 2260187 | 514.3242 |
| ritre | Africa | 1977 | 44.53500 | 2512642 | 505.7538 |
| ritre | Africa | 1982 | 43.89000 | 2637297 | 524.8758 |
| ritre | Africa | 1987 | 46.45300 | 2915959 | 521.1341 |
| ritre | Africa | 1992 | 49.99100 | 3668440 | 582.8585 |
| ritre | Africa | 1997 | 53.37800 | 4058319 | 913.4708 |
| ritre | Africa | 2002 | 55.24000 | 4414865 | 765.3500 |
| ritre | Africa | 2007 | 58.04000 | 4906585 | 641.3695 |
| thiopi | Africa | 1952 | 34.07800 | 20860941 | 362.1463 |
| thiopi | Africa | 1957 | 36.66700 | 22815614 | 378.9042 |
| thiopi | Africa | 1962 | 40.05900 | 25145372 | 419.4564 |
| thiopi | Africa | 1967 | 42.11500 | 27860297 | 516.1186 |
| thiopi | Africa | 1972 | 43.51500 | 30770372 | 566.2439 |
| thiopi | Africa | 1977 | 44.51000 | 34617799 | 556.8084 |
| thiopi | Africa | 1982 | 44.91600 | 38111756 | 577.8607 |
| thiopi | Africa | 1987 | 46.68400 | 42999530 | 573.7413 |
| thiopi | Africa | 1992 | 48.09100 | 52088559 | 421.3535 |
| thiopi | Africa | 1997 | 49.40200 | 59861301 | 515.8894 |
| thiopi | Africa | 2002 | 50.72500 | 67946797 | 530.0535 |
| thiopi | Africa | 2007 | 52.94700 | 76511887 | 690.8056 |
| inlan | Europe | 1952 | 66.55000 | 4090500 | 6424.5191 |
| inlan | Europe | 1957 | 67.49000 | 4324000 | 7545.4154 |
| inlan | Europe | 1962 | 68.75000 | 4491443 | 9371.8426 |
| inlan | Europe | 1967 | 69.83000 | 4605744 | 10921.6363 |
| inlan | Europe | 1972 | 70.87000 | 4639657 | 14358.8759 |
| inlan | Europe | 1977 | 72.52000 | 4738902 | 15605.4228 |
| inlan | Europe | 1982 | 74.55000 | 4826933 | 18533.1576 |
| inlan | Europe | 1987 | 74.83000 | 4931729 | 21141.0122 |
| inlan | Europe | 1992 | 75.70000 | 5041039 | 20647.1650 |
| inlan | Europe | 1997 | 77.13000 | 5134406 | 23723.9502 |
| inlan | Europe | 2002 | 78.37000 | 5193039 | 28204.5906 |
| inlan | Europe | 2007 | 79.31300 | 5238460 | 33207.0844 |
| ranc | Europe | 1952 | 67.41000 | 42459667 | 7029.8093 |
| ranc | Europe | 1957 | 68.93000 | 44310863 | 8662.8349 |
| ranc | Europe | 1962 | 70.51000 | 47124000 | 10560.4855 |
| ranc | Europe | 1967 | 71.55000 | 49569000 | 12999.9177 |
| ranc | Europe | 1972 | 72.38000 | 51732000 | 16107.1917 |
| ranc | Europe | 1977 | 73.83000 | 53165019 | 18292.6351 |
| ranc | Europe | 1982 | 74.89000 | 54433565 | 20293.8975 |
| ranc | Europe | 1987 | 76.34000 | 55630100 | 22066.4421 |
| ranc | Europe | 1992 | 77.46000 | 57374179 | 24703.7961 |
| ranc | Europe | 1997 | 78.64000 | 58623428 | 25889.7849 |
| ranc | Europe | 2002 | 79.59000 | 59925035 | 28926.0323 |
| ranc | Europe | 2007 | 80.65700 | 61083916 | 30470.0167 |
| abo | Africa | 1952 | 37.00300 | 420702 | 4293.4765 |
| abo | Africa | 1957 | 38.99900 | 434904 | 4976.1981 |
| abo | Africa | 1962 | 40.48900 | 455661 | 6631.4592 |
| abo | Africa | 1967 | 44.59800 | 489004 | 8358.7620 |
| abo | Africa | 1972 | 48.69000 | 537977 | 11401.9484 |
| abo | Africa | 1977 | 52.79000 | 706367 | 21745.5733 |
| abo | Africa | 1982 | 56.56400 | 753874 | 15113.3619 |
| abo | Africa | 1987 | 60.19000 | 880397 | 11864.4084 |
| abo | Africa | 1992 | 61.36600 | 985739 | 13522.1575 |
| abo | Africa | 1997 | 60.46100 | 1126189 | 14722.8419 |
| abo | Africa | 2002 | 56.76100 | 1299304 | 12521.7139 |
| abo | Africa | 2007 | 56.73500 | 1454867 | 13206.4845 |
| ambi | Africa | 1952 | 30.00000 | 284320 | 485.2307 |
| ambi | Africa | 1957 | 32.06500 | 323150 | 520.9267 |
| ambi | Africa | 1962 | 33.89600 | 374020 | 599.6503 |
| ambi | Africa | 1967 | 35.85700 | 439593 | 734.7829 |
| ambi | Africa | 1972 | 38.30800 | 517101 | 756.0868 |
| ambi | Africa | 1977 | 41.84200 | 608274 | 884.7553 |
| ambi | Africa | 1982 | 45.58000 | 715523 | 835.8096 |
| ambi | Africa | 1987 | 49.26500 | 848406 | 611.6589 |
| ambi | Africa | 1992 | 52.64400 | 1025384 | 665.6244 |
| ambi | Africa | 1997 | 55.86100 | 1235767 | 653.7302 |
| ambi | Africa | 2002 | 58.04100 | 1457766 | 660.5856 |
| ambi | Africa | 2007 | 59.44800 | 1688359 | 752.7497 |
| erman | Europe | 1952 | 67.50000 | 69145952 | 7144.1144 |
| erman | Europe | 1957 | 69.10000 | 71019069 | 10187.8267 |
| erman | Europe | 1962 | 70.30000 | 73739117 | 12902.4629 |
| erman | Europe | 1967 | 70.80000 | 76368453 | 14745.6256 |
| erman | Europe | 1972 | 71.00000 | 78717088 | 18016.1803 |
| erman | Europe | 1977 | 72.50000 | 78160773 | 20512.9212 |
| erman | Europe | 1982 | 73.80000 | 78335266 | 22031.5327 |
| erman | Europe | 1987 | 74.84700 | 77718298 | 24639.1857 |
| erman | Europe | 1992 | 76.07000 | 80597764 | 26505.3032 |
| erman | Europe | 1997 | 77.34000 | 82011073 | 27788.8842 |
| erman | Europe | 2002 | 78.67000 | 82350671 | 30035.8020 |
| erman | Europe | 2007 | 79.40600 | 82400996 | 32170.3744 |
| han | Africa | 1952 | 43.14900 | 5581001 | 911.2989 |
| han | Africa | 1957 | 44.77900 | 6391288 | 1043.5615 |
| han | Africa | 1962 | 46.45200 | 7355248 | 1190.0411 |
| han | Africa | 1967 | 48.07200 | 8490213 | 1125.6972 |
| han | Africa | 1972 | 49.87500 | 9354120 | 1178.2237 |
| han | Africa | 1977 | 51.75600 | 10538093 | 993.2240 |
| han | Africa | 1982 | 53.74400 | 11400338 | 876.0326 |
| han | Africa | 1987 | 55.72900 | 14168101 | 847.0061 |
| han | Africa | 1992 | 57.50100 | 16278738 | 925.0602 |
| han | Africa | 1997 | 58.55600 | 18418288 | 1005.2458 |
| han | Africa | 2002 | 58.45300 | 20550751 | 1111.9846 |
| han | Africa | 2007 | 60.02200 | 22873338 | 1327.6089 |
| reec | Europe | 1952 | 65.86000 | 7733250 | 3530.6901 |
| reec | Europe | 1957 | 67.86000 | 8096218 | 4916.2999 |
| reec | Europe | 1962 | 69.51000 | 8448233 | 6017.1907 |
| reec | Europe | 1967 | 71.00000 | 8716441 | 8513.0970 |
| reec | Europe | 1972 | 72.34000 | 8888628 | 12724.8296 |
| reec | Europe | 1977 | 73.68000 | 9308479 | 14195.5243 |
| reec | Europe | 1982 | 75.24000 | 9786480 | 15268.4209 |
| reec | Europe | 1987 | 76.67000 | 9974490 | 16120.5284 |
| reec | Europe | 1992 | 77.03000 | 10325429 | 17541.4963 |
| reec | Europe | 1997 | 77.86900 | 10502372 | 18747.6981 |
| reec | Europe | 2002 | 78.25600 | 10603863 | 22514.2548 |
| reec | Europe | 2007 | 79.48300 | 10706290 | 27538.4119 |
| uatemal | Americas | 1952 | 42.02300 | 3146381 | 2428.2378 |
| uatemal | Americas | 1957 | 44.14200 | 3640876 | 2617.1560 |
| uatemal | Americas | 1962 | 46.95400 | 4208858 | 2750.3644 |
| uatemal | Americas | 1967 | 50.01600 | 4690773 | 3242.5311 |
| uatemal | Americas | 1972 | 53.73800 | 5149581 | 4031.4083 |
| uatemal | Americas | 1977 | 56.02900 | 5703430 | 4879.9927 |
| uatemal | Americas | 1982 | 58.13700 | 6395630 | 4820.4948 |
| uatemal | Americas | 1987 | 60.78200 | 7326406 | 4246.4860 |
| uatemal | Americas | 1992 | 63.37300 | 8486949 | 4439.4508 |
| uatemal | Americas | 1997 | 66.32200 | 9803875 | 4684.3138 |
| uatemal | Americas | 2002 | 68.97800 | 11178650 | 4858.3475 |
| uatemal | Americas | 2007 | 70.25900 | 12572928 | 5186.0500 |
| uine | Africa | 1952 | 33.60900 | 2664249 | 510.1965 |
| uine | Africa | 1957 | 34.55800 | 2876726 | 576.2670 |
| uine | Africa | 1962 | 35.75300 | 3140003 | 686.3737 |
| uine | Africa | 1967 | 37.19700 | 3451418 | 708.7595 |
| uine | Africa | 1972 | 38.84200 | 3811387 | 741.6662 |
| uine | Africa | 1977 | 40.76200 | 4227026 | 874.6859 |
| uine | Africa | 1982 | 42.89100 | 4710497 | 857.2504 |
| uine | Africa | 1987 | 45.55200 | 5650262 | 805.5725 |
| uine | Africa | 1992 | 48.57600 | 6990574 | 794.3484 |
| uine | Africa | 1997 | 51.45500 | 8048834 | 869.4498 |
| uine | Africa | 2002 | 53.67600 | 8807818 | 945.5836 |
| uine | Africa | 2007 | 56.00700 | 9947814 | 942.6542 |
| uinea-Bissa | Africa | 1952 | 32.50000 | 580653 | 299.8503 |
| uinea-Bissa | Africa | 1957 | 33.48900 | 601095 | 431.7905 |
| uinea-Bissa | Africa | 1962 | 34.48800 | 627820 | 522.0344 |
| uinea-Bissa | Africa | 1967 | 35.49200 | 601287 | 715.5806 |
| uinea-Bissa | Africa | 1972 | 36.48600 | 625361 | 820.2246 |
| uinea-Bissa | Africa | 1977 | 37.46500 | 745228 | 764.7260 |
| uinea-Bissa | Africa | 1982 | 39.32700 | 825987 | 838.1240 |
| uinea-Bissa | Africa | 1987 | 41.24500 | 927524 | 736.4154 |
| uinea-Bissa | Africa | 1992 | 43.26600 | 1050938 | 745.5399 |
| uinea-Bissa | Africa | 1997 | 44.87300 | 1193708 | 796.6645 |
| uinea-Bissa | Africa | 2002 | 45.50400 | 1332459 | 575.7047 |
| uinea-Bissa | Africa | 2007 | 46.38800 | 1472041 | 579.2317 |
| ait | Americas | 1952 | 37.57900 | 3201488 | 1840.3669 |
| ait | Americas | 1957 | 40.69600 | 3507701 | 1726.8879 |
| ait | Americas | 1962 | 43.59000 | 3880130 | 1796.5890 |
| ait | Americas | 1967 | 46.24300 | 4318137 | 1452.0577 |
| ait | Americas | 1972 | 48.04200 | 4698301 | 1654.4569 |
| ait | Americas | 1977 | 49.92300 | 4908554 | 1874.2989 |
| ait | Americas | 1982 | 51.46100 | 5198399 | 2011.1595 |
| ait | Americas | 1987 | 53.63600 | 5756203 | 1823.0160 |
| ait | Americas | 1992 | 55.08900 | 6326682 | 1456.3095 |
| ait | Americas | 1997 | 56.67100 | 6913545 | 1341.7269 |
| ait | Americas | 2002 | 58.13700 | 7607651 | 1270.3649 |
| ait | Americas | 2007 | 60.91600 | 8502814 | 1201.6372 |
| ondura | Americas | 1952 | 41.91200 | 1517453 | 2194.9262 |
| ondura | Americas | 1957 | 44.66500 | 1770390 | 2220.4877 |
| ondura | Americas | 1962 | 48.04100 | 2090162 | 2291.1568 |
| ondura | Americas | 1967 | 50.92400 | 2500689 | 2538.2694 |
| ondura | Americas | 1972 | 53.88400 | 2965146 | 2529.8423 |
| ondura | Americas | 1977 | 57.40200 | 3055235 | 3203.2081 |
| ondura | Americas | 1982 | 60.90900 | 3669448 | 3121.7608 |
| ondura | Americas | 1987 | 64.49200 | 4372203 | 3023.0967 |
| ondura | Americas | 1992 | 66.39900 | 5077347 | 3081.6946 |
| ondura | Americas | 1997 | 67.65900 | 5867957 | 3160.4549 |
| ondura | Americas | 2002 | 68.56500 | 6677328 | 3099.7287 |
| ondura | Americas | 2007 | 70.19800 | 7483763 | 3548.3308 |
| ong Kong, Chin | Asia | 1952 | 60.96000 | 2125900 | 3054.4212 |
| ong Kong, Chin | Asia | 1957 | 64.75000 | 2736300 | 3629.0765 |
| ong Kong, Chin | Asia | 1962 | 67.65000 | 3305200 | 4692.6483 |
| ong Kong, Chin | Asia | 1967 | 70.00000 | 3722800 | 6197.9628 |
| ong Kong, Chin | Asia | 1972 | 72.00000 | 4115700 | 8315.9281 |
| ong Kong, Chin | Asia | 1977 | 73.60000 | 4583700 | 11186.1413 |
| ong Kong, Chin | Asia | 1982 | 75.45000 | 5264500 | 14560.5305 |
| ong Kong, Chin | Asia | 1987 | 76.20000 | 5584510 | 20038.4727 |
| ong Kong, Chin | Asia | 1992 | 77.60100 | 5829696 | 24757.6030 |
| ong Kong, Chin | Asia | 1997 | 80.00000 | 6495918 | 28377.6322 |
| ong Kong, Chin | Asia | 2002 | 81.49500 | 6762476 | 30209.0152 |
| ong Kong, Chin | Asia | 2007 | 82.20800 | 6980412 | 39724.9787 |
| ungar | Europe | 1952 | 64.03000 | 9504000 | 5263.6738 |
| ungar | Europe | 1957 | 66.41000 | 9839000 | 6040.1800 |
| ungar | Europe | 1962 | 67.96000 | 10063000 | 7550.3599 |
| ungar | Europe | 1967 | 69.50000 | 10223422 | 9326.6447 |
| ungar | Europe | 1972 | 69.76000 | 10394091 | 10168.6561 |
| ungar | Europe | 1977 | 69.95000 | 10637171 | 11674.8374 |
| ungar | Europe | 1982 | 69.39000 | 10705535 | 12545.9907 |
| ungar | Europe | 1987 | 69.58000 | 10612740 | 12986.4800 |
| ungar | Europe | 1992 | 69.17000 | 10348684 | 10535.6285 |
| ungar | Europe | 1997 | 71.04000 | 10244684 | 11712.7768 |
| ungar | Europe | 2002 | 72.59000 | 10083313 | 14843.9356 |
| ungar | Europe | 2007 | 73.33800 | 9956108 | 18008.9444 |
| celan | Europe | 1952 | 72.49000 | 147962 | 7267.6884 |
| celan | Europe | 1957 | 73.47000 | 165110 | 9244.0014 |
| celan | Europe | 1962 | 73.68000 | 182053 | 10350.1591 |
| celan | Europe | 1967 | 73.73000 | 198676 | 13319.8957 |
| celan | Europe | 1972 | 74.46000 | 209275 | 15798.0636 |
| celan | Europe | 1977 | 76.11000 | 221823 | 19654.9625 |
| celan | Europe | 1982 | 76.99000 | 233997 | 23269.6075 |
| celan | Europe | 1987 | 77.23000 | 244676 | 26923.2063 |
| celan | Europe | 1992 | 78.77000 | 259012 | 25144.3920 |
| celan | Europe | 1997 | 78.95000 | 271192 | 28061.0997 |
| celan | Europe | 2002 | 80.50000 | 288030 | 31163.2020 |
| celan | Europe | 2007 | 81.75700 | 301931 | 36180.7892 |
| ndi | Asia | 1952 | 37.37300 | 372000000 | 546.5657 |
| ndi | Asia | 1957 | 40.24900 | 409000000 | 590.0620 |
| ndi | Asia | 1962 | 43.60500 | 454000000 | 658.3472 |
| ndi | Asia | 1967 | 47.19300 | 506000000 | 700.7706 |
| ndi | Asia | 1972 | 50.65100 | 567000000 | 724.0325 |
| ndi | Asia | 1977 | 54.20800 | 634000000 | 813.3373 |
| ndi | Asia | 1982 | 56.59600 | 708000000 | 855.7235 |
| ndi | Asia | 1987 | 58.55300 | 788000000 | 976.5127 |
| ndi | Asia | 1992 | 60.22300 | 872000000 | 1164.4068 |
| ndi | Asia | 1997 | 61.76500 | 959000000 | 1458.8174 |
| ndi | Asia | 2002 | 62.87900 | 1034172547 | 1746.7695 |
| ndi | Asia | 2007 | 64.69800 | 1110396331 | 2452.2104 |
| ndonesi | Asia | 1952 | 37.46800 | 82052000 | 749.6817 |
| ndonesi | Asia | 1957 | 39.91800 | 90124000 | 858.9003 |
| ndonesi | Asia | 1962 | 42.51800 | 99028000 | 849.2898 |
| ndonesi | Asia | 1967 | 45.96400 | 109343000 | 762.4318 |
| ndonesi | Asia | 1972 | 49.20300 | 121282000 | 1111.1079 |
| ndonesi | Asia | 1977 | 52.70200 | 136725000 | 1382.7021 |
| ndonesi | Asia | 1982 | 56.15900 | 153343000 | 1516.8730 |
| ndonesi | Asia | 1987 | 60.13700 | 169276000 | 1748.3570 |
| ndonesi | Asia | 1992 | 62.68100 | 184816000 | 2383.1409 |
| ndonesi | Asia | 1997 | 66.04100 | 199278000 | 3119.3356 |
| ndonesi | Asia | 2002 | 68.58800 | 211060000 | 2873.9129 |
| ndonesi | Asia | 2007 | 70.65000 | 223547000 | 3540.6516 |
| ra | Asia | 1952 | 44.86900 | 17272000 | 3035.3260 |
| ra | Asia | 1957 | 47.18100 | 19792000 | 3290.2576 |
| ra | Asia | 1962 | 49.32500 | 22874000 | 4187.3298 |
| ra | Asia | 1967 | 52.46900 | 26538000 | 5906.7318 |
| ra | Asia | 1972 | 55.23400 | 30614000 | 9613.8186 |
| ra | Asia | 1977 | 57.70200 | 35480679 | 11888.5951 |
| ra | Asia | 1982 | 59.62000 | 43072751 | 7608.3346 |
| ra | Asia | 1987 | 63.04000 | 51889696 | 6642.8814 |
| ra | Asia | 1992 | 65.74200 | 60397973 | 7235.6532 |
| ra | Asia | 1997 | 68.04200 | 63327987 | 8263.5903 |
| ra | Asia | 2002 | 69.45100 | 66907826 | 9240.7620 |
| ra | Asia | 2007 | 70.96400 | 69453570 | 11605.7145 |
| ra | Asia | 1952 | 45.32000 | 5441766 | 4129.7661 |
| ra | Asia | 1957 | 48.43700 | 6248643 | 6229.3336 |
| ra | Asia | 1962 | 51.45700 | 7240260 | 8341.7378 |
| ra | Asia | 1967 | 54.45900 | 8519282 | 8931.4598 |
| ra | Asia | 1972 | 56.95000 | 10061506 | 9576.0376 |
| ra | Asia | 1977 | 60.41300 | 11882916 | 14688.2351 |
| ra | Asia | 1982 | 62.03800 | 14173318 | 14517.9071 |
| ra | Asia | 1987 | 65.04400 | 16543189 | 11643.5727 |
| ra | Asia | 1992 | 59.46100 | 17861905 | 3745.6407 |
| ra | Asia | 1997 | 58.81100 | 20775703 | 3076.2398 |
| ra | Asia | 2002 | 57.04600 | 24001816 | 4390.7173 |
| ra | Asia | 2007 | 59.54500 | 27499638 | 4471.0619 |
| relan | Europe | 1952 | 66.91000 | 2952156 | 5210.2803 |
| relan | Europe | 1957 | 68.90000 | 2878220 | 5599.0779 |
| relan | Europe | 1962 | 70.29000 | 2830000 | 6631.5973 |
| relan | Europe | 1967 | 71.08000 | 2900100 | 7655.5690 |
| relan | Europe | 1972 | 71.28000 | 3024400 | 9530.7729 |
| relan | Europe | 1977 | 72.03000 | 3271900 | 11150.9811 |
| relan | Europe | 1982 | 73.10000 | 3480000 | 12618.3214 |
| relan | Europe | 1987 | 74.36000 | 3539900 | 13872.8665 |
| relan | Europe | 1992 | 75.46700 | 3557761 | 17558.8155 |
| relan | Europe | 1997 | 76.12200 | 3667233 | 24521.9471 |
| relan | Europe | 2002 | 77.78300 | 3879155 | 34077.0494 |
| relan | Europe | 2007 | 78.88500 | 4109086 | 40675.9964 |
| srae | Asia | 1952 | 65.39000 | 1620914 | 4086.5221 |
| srae | Asia | 1957 | 67.84000 | 1944401 | 5385.2785 |
| srae | Asia | 1962 | 69.39000 | 2310904 | 7105.6307 |
| srae | Asia | 1967 | 70.75000 | 2693585 | 8393.7414 |
| srae | Asia | 1972 | 71.63000 | 3095893 | 12786.9322 |
| srae | Asia | 1977 | 73.06000 | 3495918 | 13306.6192 |
| srae | Asia | 1982 | 74.45000 | 3858421 | 15367.0292 |
| srae | Asia | 1987 | 75.60000 | 4203148 | 17122.4799 |
| srae | Asia | 1992 | 76.93000 | 4936550 | 18051.5225 |
| srae | Asia | 1997 | 78.26900 | 5531387 | 20896.6092 |
| srae | Asia | 2002 | 79.69600 | 6029529 | 21905.5951 |
| srae | Asia | 2007 | 80.74500 | 6426679 | 25523.2771 |
| tal | Europe | 1952 | 65.94000 | 47666000 | 4931.4042 |
| tal | Europe | 1957 | 67.81000 | 49182000 | 6248.6562 |
| tal | Europe | 1962 | 69.24000 | 50843200 | 8243.5823 |
| tal | Europe | 1967 | 71.06000 | 52667100 | 10022.4013 |
| tal | Europe | 1972 | 72.19000 | 54365564 | 12269.2738 |
| tal | Europe | 1977 | 73.48000 | 56059245 | 14255.9847 |
| tal | Europe | 1982 | 74.98000 | 56535636 | 16537.4835 |
| tal | Europe | 1987 | 76.42000 | 56729703 | 19207.2348 |
| tal | Europe | 1992 | 77.44000 | 56840847 | 22013.6449 |
| tal | Europe | 1997 | 78.82000 | 57479469 | 24675.0245 |
| tal | Europe | 2002 | 80.24000 | 57926999 | 27968.0982 |
| tal | Europe | 2007 | 80.54600 | 58147733 | 28569.7197 |
| amaic | Americas | 1952 | 58.53000 | 1426095 | 2898.5309 |
| amaic | Americas | 1957 | 62.61000 | 1535090 | 4756.5258 |
| amaic | Americas | 1962 | 65.61000 | 1665128 | 5246.1075 |
| amaic | Americas | 1967 | 67.51000 | 1861096 | 6124.7035 |
| amaic | Americas | 1972 | 69.00000 | 1997616 | 7433.8893 |
| amaic | Americas | 1977 | 70.11000 | 2156814 | 6650.1956 |
| amaic | Americas | 1982 | 71.21000 | 2298309 | 6068.0513 |
| amaic | Americas | 1987 | 71.77000 | 2326606 | 6351.2375 |
| amaic | Americas | 1992 | 71.76600 | 2378618 | 7404.9237 |
| amaic | Americas | 1997 | 72.26200 | 2531311 | 7121.9247 |
| amaic | Americas | 2002 | 72.04700 | 2664659 | 6994.7749 |
| amaic | Americas | 2007 | 72.56700 | 2780132 | 7320.8803 |
| apa | Asia | 1952 | 63.03000 | 86459025 | 3216.9563 |
| apa | Asia | 1957 | 65.50000 | 91563009 | 4317.6944 |
| apa | Asia | 1962 | 68.73000 | 95831757 | 6576.6495 |
| apa | Asia | 1967 | 71.43000 | 100825279 | 9847.7886 |
| apa | Asia | 1972 | 73.42000 | 107188273 | 14778.7864 |
| apa | Asia | 1977 | 75.38000 | 113872473 | 16610.3770 |
| apa | Asia | 1982 | 77.11000 | 118454974 | 19384.1057 |
| apa | Asia | 1987 | 78.67000 | 122091325 | 22375.9419 |
| apa | Asia | 1992 | 79.36000 | 124329269 | 26824.8951 |
| apa | Asia | 1997 | 80.69000 | 125956499 | 28816.5850 |
| apa | Asia | 2002 | 82.00000 | 127065841 | 28604.5919 |
| apa | Asia | 2007 | 82.60300 | 127467972 | 31656.0681 |
| orda | Asia | 1952 | 43.15800 | 607914 | 1546.9078 |
| orda | Asia | 1957 | 45.66900 | 746559 | 1886.0806 |
| orda | Asia | 1962 | 48.12600 | 933559 | 2348.0092 |
| orda | Asia | 1967 | 51.62900 | 1255058 | 2741.7963 |
| orda | Asia | 1972 | 56.52800 | 1613551 | 2110.8563 |
| orda | Asia | 1977 | 61.13400 | 1937652 | 2852.3516 |
| orda | Asia | 1982 | 63.73900 | 2347031 | 4161.4160 |
| orda | Asia | 1987 | 65.86900 | 2820042 | 4448.6799 |
| orda | Asia | 1992 | 68.01500 | 3867409 | 3431.5936 |
| orda | Asia | 1997 | 69.77200 | 4526235 | 3645.3796 |
| orda | Asia | 2002 | 71.26300 | 5307470 | 3844.9172 |
| orda | Asia | 2007 | 72.53500 | 6053193 | 4519.4612 |
| eny | Africa | 1952 | 42.27000 | 6464046 | 853.5409 |
| eny | Africa | 1957 | 44.68600 | 7454779 | 944.4383 |
| eny | Africa | 1962 | 47.94900 | 8678557 | 896.9664 |
| eny | Africa | 1967 | 50.65400 | 10191512 | 1056.7365 |
| eny | Africa | 1972 | 53.55900 | 12044785 | 1222.3600 |
| eny | Africa | 1977 | 56.15500 | 14500404 | 1267.6132 |
| eny | Africa | 1982 | 58.76600 | 17661452 | 1348.2258 |
| eny | Africa | 1987 | 59.33900 | 21198082 | 1361.9369 |
| eny | Africa | 1992 | 59.28500 | 25020539 | 1341.9217 |
| eny | Africa | 1997 | 54.40700 | 28263827 | 1360.4850 |
| eny | Africa | 2002 | 50.99200 | 31386842 | 1287.5147 |
| eny | Africa | 2007 | 54.11000 | 35610177 | 1463.2493 |
| orea, Dem. Rep | Asia | 1952 | 50.05600 | 8865488 | 1088.2778 |
| orea, Dem. Rep | Asia | 1957 | 54.08100 | 9411381 | 1571.1347 |
| orea, Dem. Rep | Asia | 1962 | 56.65600 | 10917494 | 1621.6936 |
| orea, Dem. Rep | Asia | 1967 | 59.94200 | 12617009 | 2143.5406 |
| orea, Dem. Rep | Asia | 1972 | 63.98300 | 14781241 | 3701.6215 |
| orea, Dem. Rep | Asia | 1977 | 67.15900 | 16325320 | 4106.3012 |
| orea, Dem. Rep | Asia | 1982 | 69.10000 | 17647518 | 4106.5253 |
| orea, Dem. Rep | Asia | 1987 | 70.64700 | 19067554 | 4106.4923 |
| orea, Dem. Rep | Asia | 1992 | 69.97800 | 20711375 | 3726.0635 |
| orea, Dem. Rep | Asia | 1997 | 67.72700 | 21585105 | 1690.7568 |
| orea, Dem. Rep | Asia | 2002 | 66.66200 | 22215365 | 1646.7582 |
| orea, Dem. Rep | Asia | 2007 | 67.29700 | 23301725 | 1593.0655 |
| orea, Rep | Asia | 1952 | 47.45300 | 20947571 | 1030.5922 |
| orea, Rep | Asia | 1957 | 52.68100 | 22611552 | 1487.5935 |
| orea, Rep | Asia | 1962 | 55.29200 | 26420307 | 1536.3444 |
| orea, Rep | Asia | 1967 | 57.71600 | 30131000 | 2029.2281 |
| orea, Rep | Asia | 1972 | 62.61200 | 33505000 | 3030.8767 |
| orea, Rep | Asia | 1977 | 64.76600 | 36436000 | 4657.2210 |
| orea, Rep | Asia | 1982 | 67.12300 | 39326000 | 5622.9425 |
| orea, Rep | Asia | 1987 | 69.81000 | 41622000 | 8533.0888 |
| orea, Rep | Asia | 1992 | 72.24400 | 43805450 | 12104.2787 |
| orea, Rep | Asia | 1997 | 74.64700 | 46173816 | 15993.5280 |
| orea, Rep | Asia | 2002 | 77.04500 | 47969150 | 19233.9882 |
| orea, Rep | Asia | 2007 | 78.62300 | 49044790 | 23348.1397 |
| uwai | Asia | 1952 | 55.56500 | 160000 | 108382.3529 |
| uwai | Asia | 1957 | 58.03300 | 212846 | 113523.1329 |
| uwai | Asia | 1962 | 60.47000 | 358266 | 95458.1118 |
| uwai | Asia | 1967 | 64.62400 | 575003 | 80894.8833 |
| uwai | Asia | 1972 | 67.71200 | 841934 | 109347.8670 |
| uwai | Asia | 1977 | 69.34300 | 1140357 | 59265.4771 |
| uwai | Asia | 1982 | 71.30900 | 1497494 | 31354.0357 |
| uwai | Asia | 1987 | 74.17400 | 1891487 | 28118.4300 |
| uwai | Asia | 1992 | 75.19000 | 1418095 | 34932.9196 |
| uwai | Asia | 1997 | 76.15600 | 1765345 | 40300.6200 |
| uwai | Asia | 2002 | 76.90400 | 2111561 | 35110.1057 |
| uwai | Asia | 2007 | 77.58800 | 2505559 | 47306.9898 |
| ebano | Asia | 1952 | 55.92800 | 1439529 | 4834.8041 |
| ebano | Asia | 1957 | 59.48900 | 1647412 | 6089.7869 |
| ebano | Asia | 1962 | 62.09400 | 1886848 | 5714.5606 |
| ebano | Asia | 1967 | 63.87000 | 2186894 | 6006.9830 |
| ebano | Asia | 1972 | 65.42100 | 2680018 | 7486.3843 |
| ebano | Asia | 1977 | 66.09900 | 3115787 | 8659.6968 |
| ebano | Asia | 1982 | 66.98300 | 3086876 | 7640.5195 |
| ebano | Asia | 1987 | 67.92600 | 3089353 | 5377.0913 |
| ebano | Asia | 1992 | 69.29200 | 3219994 | 6890.8069 |
| ebano | Asia | 1997 | 70.26500 | 3430388 | 8754.9639 |
| ebano | Asia | 2002 | 71.02800 | 3677780 | 9313.9388 |
| ebano | Asia | 2007 | 71.99300 | 3921278 | 10461.0587 |
| esoth | Africa | 1952 | 42.13800 | 748747 | 298.8462 |
| esoth | Africa | 1957 | 45.04700 | 813338 | 335.9971 |
| esoth | Africa | 1962 | 47.74700 | 893143 | 411.8006 |
| esoth | Africa | 1967 | 48.49200 | 996380 | 498.6390 |
| esoth | Africa | 1972 | 49.76700 | 1116779 | 496.5816 |
| esoth | Africa | 1977 | 52.20800 | 1251524 | 745.3695 |
| esoth | Africa | 1982 | 55.07800 | 1411807 | 797.2631 |
| esoth | Africa | 1987 | 57.18000 | 1599200 | 773.9932 |
| esoth | Africa | 1992 | 59.68500 | 1803195 | 977.4863 |
| esoth | Africa | 1997 | 55.55800 | 1982823 | 1186.1480 |
| esoth | Africa | 2002 | 44.59300 | 2046772 | 1275.1846 |
| esoth | Africa | 2007 | 42.59200 | 2012649 | 1569.3314 |
| iberi | Africa | 1952 | 38.48000 | 863308 | 575.5730 |
| iberi | Africa | 1957 | 39.48600 | 975950 | 620.9700 |
| iberi | Africa | 1962 | 40.50200 | 1112796 | 634.1952 |
| iberi | Africa | 1967 | 41.53600 | 1279406 | 713.6036 |
| iberi | Africa | 1972 | 42.61400 | 1482628 | 803.0055 |
| iberi | Africa | 1977 | 43.76400 | 1703617 | 640.3224 |
| iberi | Africa | 1982 | 44.85200 | 1956875 | 572.1996 |
| iberi | Africa | 1987 | 46.02700 | 2269414 | 506.1139 |
| iberi | Africa | 1992 | 40.80200 | 1912974 | 636.6229 |
| iberi | Africa | 1997 | 42.22100 | 2200725 | 609.1740 |
| iberi | Africa | 2002 | 43.75300 | 2814651 | 531.4824 |
| iberi | Africa | 2007 | 45.67800 | 3193942 | 414.5073 |
| iby | Africa | 1952 | 42.72300 | 1019729 | 2387.5481 |
| iby | Africa | 1957 | 45.28900 | 1201578 | 3448.2844 |
| iby | Africa | 1962 | 47.80800 | 1441863 | 6757.0308 |
| iby | Africa | 1967 | 50.22700 | 1759224 | 18772.7517 |
| iby | Africa | 1972 | 52.77300 | 2183877 | 21011.4972 |
| iby | Africa | 1977 | 57.44200 | 2721783 | 21951.2118 |
| iby | Africa | 1982 | 62.15500 | 3344074 | 17364.2754 |
| iby | Africa | 1987 | 66.23400 | 3799845 | 11770.5898 |
| iby | Africa | 1992 | 68.75500 | 4364501 | 9640.1385 |
| iby | Africa | 1997 | 71.55500 | 4759670 | 9467.4461 |
| iby | Africa | 2002 | 72.73700 | 5368585 | 9534.6775 |
| iby | Africa | 2007 | 73.95200 | 6036914 | 12057.4993 |
| adagasca | Africa | 1952 | 36.68100 | 4762912 | 1443.0117 |
| adagasca | Africa | 1957 | 38.86500 | 5181679 | 1589.2027 |
| adagasca | Africa | 1962 | 40.84800 | 5703324 | 1643.3871 |
| adagasca | Africa | 1967 | 42.88100 | 6334556 | 1634.0473 |
| adagasca | Africa | 1972 | 44.85100 | 7082430 | 1748.5630 |
| adagasca | Africa | 1977 | 46.88100 | 8007166 | 1544.2286 |
| adagasca | Africa | 1982 | 48.96900 | 9171477 | 1302.8787 |
| adagasca | Africa | 1987 | 49.35000 | 10568642 | 1155.4419 |
| adagasca | Africa | 1992 | 52.21400 | 12210395 | 1040.6762 |
| adagasca | Africa | 1997 | 54.97800 | 14165114 | 986.2959 |
| adagasca | Africa | 2002 | 57.28600 | 16473477 | 894.6371 |
| adagasca | Africa | 2007 | 59.44300 | 19167654 | 1044.7701 |
| alaw | Africa | 1952 | 36.25600 | 2917802 | 369.1651 |
| alaw | Africa | 1957 | 37.20700 | 3221238 | 416.3698 |
| alaw | Africa | 1962 | 38.41000 | 3628608 | 427.9011 |
| alaw | Africa | 1967 | 39.48700 | 4147252 | 495.5148 |
| alaw | Africa | 1972 | 41.76600 | 4730997 | 584.6220 |
| alaw | Africa | 1977 | 43.76700 | 5637246 | 663.2237 |
| alaw | Africa | 1982 | 45.64200 | 6502825 | 632.8039 |
| alaw | Africa | 1987 | 47.45700 | 7824747 | 635.5174 |
| alaw | Africa | 1992 | 49.42000 | 10014249 | 563.2000 |
| alaw | Africa | 1997 | 47.49500 | 10419991 | 692.2758 |
| alaw | Africa | 2002 | 45.00900 | 11824495 | 665.4231 |
| alaw | Africa | 2007 | 48.30300 | 13327079 | 759.3499 |
| alaysi | Asia | 1952 | 48.46300 | 6748378 | 1831.1329 |
| alaysi | Asia | 1957 | 52.10200 | 7739235 | 1810.0670 |
| alaysi | Asia | 1962 | 55.73700 | 8906385 | 2036.8849 |
| alaysi | Asia | 1967 | 59.37100 | 10154878 | 2277.7424 |
| alaysi | Asia | 1972 | 63.01000 | 11441462 | 2849.0948 |
| alaysi | Asia | 1977 | 65.25600 | 12845381 | 3827.9216 |
| alaysi | Asia | 1982 | 68.00000 | 14441916 | 4920.3560 |
| alaysi | Asia | 1987 | 69.50000 | 16331785 | 5249.8027 |
| alaysi | Asia | 1992 | 70.69300 | 18319502 | 7277.9128 |
| alaysi | Asia | 1997 | 71.93800 | 20476091 | 10132.9096 |
| alaysi | Asia | 2002 | 73.04400 | 22662365 | 10206.9779 |
| alaysi | Asia | 2007 | 74.24100 | 24821286 | 12451.6558 |
| al | Africa | 1952 | 33.68500 | 3838168 | 452.3370 |
| al | Africa | 1957 | 35.30700 | 4241884 | 490.3822 |
| al | Africa | 1962 | 36.93600 | 4690372 | 496.1743 |
| al | Africa | 1967 | 38.48700 | 5212416 | 545.0099 |
| al | Africa | 1972 | 39.97700 | 5828158 | 581.3689 |
| al | Africa | 1977 | 41.71400 | 6491649 | 686.3953 |
| al | Africa | 1982 | 43.91600 | 6998256 | 618.0141 |
| al | Africa | 1987 | 46.36400 | 7634008 | 684.1716 |
| al | Africa | 1992 | 48.38800 | 8416215 | 739.0144 |
| al | Africa | 1997 | 49.90300 | 9384984 | 790.2580 |
| al | Africa | 2002 | 51.81800 | 10580176 | 951.4098 |
| al | Africa | 2007 | 54.46700 | 12031795 | 1042.5816 |
| auritani | Africa | 1952 | 40.54300 | 1022556 | 743.1159 |
| auritani | Africa | 1957 | 42.33800 | 1076852 | 846.1203 |
| auritani | Africa | 1962 | 44.24800 | 1146757 | 1055.8960 |
| auritani | Africa | 1967 | 46.28900 | 1230542 | 1421.1452 |
| auritani | Africa | 1972 | 48.43700 | 1332786 | 1586.8518 |
| auritani | Africa | 1977 | 50.85200 | 1456688 | 1497.4922 |
| auritani | Africa | 1982 | 53.59900 | 1622136 | 1481.1502 |
| auritani | Africa | 1987 | 56.14500 | 1841240 | 1421.6036 |
| auritani | Africa | 1992 | 58.33300 | 2119465 | 1361.3698 |
| auritani | Africa | 1997 | 60.43000 | 2444741 | 1483.1361 |
| auritani | Africa | 2002 | 62.24700 | 2828858 | 1579.0195 |
| auritani | Africa | 2007 | 64.16400 | 3270065 | 1803.1515 |
| auritiu | Africa | 1952 | 50.98600 | 516556 | 1967.9557 |
| auritiu | Africa | 1957 | 58.08900 | 609816 | 2034.0380 |
| auritiu | Africa | 1962 | 60.24600 | 701016 | 2529.0675 |
| auritiu | Africa | 1967 | 61.55700 | 789309 | 2475.3876 |
| auritiu | Africa | 1972 | 62.94400 | 851334 | 2575.4842 |
| auritiu | Africa | 1977 | 64.93000 | 913025 | 3710.9830 |
| auritiu | Africa | 1982 | 66.71100 | 992040 | 3688.0377 |
| auritiu | Africa | 1987 | 68.74000 | 1042663 | 4783.5869 |
| auritiu | Africa | 1992 | 69.74500 | 1096202 | 6058.2538 |
| auritiu | Africa | 1997 | 70.73600 | 1149818 | 7425.7053 |
| auritiu | Africa | 2002 | 71.95400 | 1200206 | 9021.8159 |
| auritiu | Africa | 2007 | 72.80100 | 1250882 | 10956.9911 |
| exic | Americas | 1952 | 50.78900 | 30144317 | 3478.1255 |
| exic | Americas | 1957 | 55.19000 | 35015548 | 4131.5466 |
| exic | Americas | 1962 | 58.29900 | 41121485 | 4581.6094 |
| exic | Americas | 1967 | 60.11000 | 47995559 | 5754.7339 |
| exic | Americas | 1972 | 62.36100 | 55984294 | 6809.4067 |
| exic | Americas | 1977 | 65.03200 | 63759976 | 7674.9291 |
| exic | Americas | 1982 | 67.40500 | 71640904 | 9611.1475 |
| exic | Americas | 1987 | 69.49800 | 80122492 | 8688.1560 |
| exic | Americas | 1992 | 71.45500 | 88111030 | 9472.3843 |
| exic | Americas | 1997 | 73.67000 | 95895146 | 9767.2975 |
| exic | Americas | 2002 | 74.90200 | 102479927 | 10742.4405 |
| exic | Americas | 2007 | 76.19500 | 108700891 | 11977.5750 |
| ongoli | Asia | 1952 | 42.24400 | 800663 | 786.5669 |
| ongoli | Asia | 1957 | 45.24800 | 882134 | 912.6626 |
| ongoli | Asia | 1962 | 48.25100 | 1010280 | 1056.3540 |
| ongoli | Asia | 1967 | 51.25300 | 1149500 | 1226.0411 |
| ongoli | Asia | 1972 | 53.75400 | 1320500 | 1421.7420 |
| ongoli | Asia | 1977 | 55.49100 | 1528000 | 1647.5117 |
| ongoli | Asia | 1982 | 57.48900 | 1756032 | 2000.6031 |
| ongoli | Asia | 1987 | 60.22200 | 2015133 | 2338.0083 |
| ongoli | Asia | 1992 | 61.27100 | 2312802 | 1785.4020 |
| ongoli | Asia | 1997 | 63.62500 | 2494803 | 1902.2521 |
| ongoli | Asia | 2002 | 65.03300 | 2674234 | 2140.7393 |
| ongoli | Asia | 2007 | 66.80300 | 2874127 | 3095.7723 |
| ontenegr | Europe | 1952 | 59.16400 | 413834 | 2647.5856 |
| ontenegr | Europe | 1957 | 61.44800 | 442829 | 3682.2599 |
| ontenegr | Europe | 1962 | 63.72800 | 474528 | 4649.5938 |
| ontenegr | Europe | 1967 | 67.17800 | 501035 | 5907.8509 |
| ontenegr | Europe | 1972 | 70.63600 | 527678 | 7778.4140 |
| ontenegr | Europe | 1977 | 73.06600 | 560073 | 9595.9299 |
| ontenegr | Europe | 1982 | 74.10100 | 562548 | 11222.5876 |
| ontenegr | Europe | 1987 | 74.86500 | 569473 | 11732.5102 |
| ontenegr | Europe | 1992 | 75.43500 | 621621 | 7003.3390 |
| ontenegr | Europe | 1997 | 75.44500 | 692651 | 6465.6133 |
| ontenegr | Europe | 2002 | 73.98100 | 720230 | 6557.1943 |
| ontenegr | Europe | 2007 | 74.54300 | 684736 | 9253.8961 |
| orocc | Africa | 1952 | 42.87300 | 9939217 | 1688.2036 |
| orocc | Africa | 1957 | 45.42300 | 11406350 | 1642.0023 |
| orocc | Africa | 1962 | 47.92400 | 13056604 | 1566.3535 |
| orocc | Africa | 1967 | 50.33500 | 14770296 | 1711.0448 |
| orocc | Africa | 1972 | 52.86200 | 16660670 | 1930.1950 |
| orocc | Africa | 1977 | 55.73000 | 18396941 | 2370.6200 |
| orocc | Africa | 1982 | 59.65000 | 20198730 | 2702.6204 |
| orocc | Africa | 1987 | 62.67700 | 22987397 | 2755.0470 |
| orocc | Africa | 1992 | 65.39300 | 25798239 | 2948.0473 |
| orocc | Africa | 1997 | 67.66000 | 28529501 | 2982.1019 |
| orocc | Africa | 2002 | 69.61500 | 31167783 | 3258.4956 |
| orocc | Africa | 2007 | 71.16400 | 33757175 | 3820.1752 |
| ozambiqu | Africa | 1952 | 31.28600 | 6446316 | 468.5260 |
| ozambiqu | Africa | 1957 | 33.77900 | 7038035 | 495.5868 |
| ozambiqu | Africa | 1962 | 36.16100 | 7788944 | 556.6864 |
| ozambiqu | Africa | 1967 | 38.11300 | 8680909 | 566.6692 |
| ozambiqu | Africa | 1972 | 40.32800 | 9809596 | 724.9178 |
| ozambiqu | Africa | 1977 | 42.49500 | 11127868 | 502.3197 |
| ozambiqu | Africa | 1982 | 42.79500 | 12587223 | 462.2114 |
| ozambiqu | Africa | 1987 | 42.86100 | 12891952 | 389.8762 |
| ozambiqu | Africa | 1992 | 44.28400 | 13160731 | 410.8968 |
| ozambiqu | Africa | 1997 | 46.34400 | 16603334 | 472.3461 |
| ozambiqu | Africa | 2002 | 44.02600 | 18473780 | 633.6179 |
| ozambiqu | Africa | 2007 | 42.08200 | 19951656 | 823.6856 |
| yanma | Asia | 1952 | 36.31900 | 20092996 | 331.0000 |
| yanma | Asia | 1957 | 41.90500 | 21731844 | 350.0000 |
| yanma | Asia | 1962 | 45.10800 | 23634436 | 388.0000 |
| yanma | Asia | 1967 | 49.37900 | 25870271 | 349.0000 |
| yanma | Asia | 1972 | 53.07000 | 28466390 | 357.0000 |
| yanma | Asia | 1977 | 56.05900 | 31528087 | 371.0000 |
| yanma | Asia | 1982 | 58.05600 | 34680442 | 424.0000 |
| yanma | Asia | 1987 | 58.33900 | 38028578 | 385.0000 |
| yanma | Asia | 1992 | 59.32000 | 40546538 | 347.0000 |
| yanma | Asia | 1997 | 60.32800 | 43247867 | 415.0000 |
| yanma | Asia | 2002 | 59.90800 | 45598081 | 611.0000 |
| yanma | Asia | 2007 | 62.06900 | 47761980 | 944.0000 |
| amibi | Africa | 1952 | 41.72500 | 485831 | 2423.7804 |
| amibi | Africa | 1957 | 45.22600 | 548080 | 2621.4481 |
| amibi | Africa | 1962 | 48.38600 | 621392 | 3173.2156 |
| amibi | Africa | 1967 | 51.15900 | 706640 | 3793.6948 |
| amibi | Africa | 1972 | 53.86700 | 821782 | 3746.0809 |
| amibi | Africa | 1977 | 56.43700 | 977026 | 3876.4860 |
| amibi | Africa | 1982 | 58.96800 | 1099010 | 4191.1005 |
| amibi | Africa | 1987 | 60.83500 | 1278184 | 3693.7313 |
| amibi | Africa | 1992 | 61.99900 | 1554253 | 3804.5380 |
| amibi | Africa | 1997 | 58.90900 | 1774766 | 3899.5243 |
| amibi | Africa | 2002 | 51.47900 | 1972153 | 4072.3248 |
| amibi | Africa | 2007 | 52.90600 | 2055080 | 4811.0604 |
| epa | Asia | 1952 | 36.15700 | 9182536 | 545.8657 |
| epa | Asia | 1957 | 37.68600 | 9682338 | 597.9364 |
| epa | Asia | 1962 | 39.39300 | 10332057 | 652.3969 |
| epa | Asia | 1967 | 41.47200 | 11261690 | 676.4422 |
| epa | Asia | 1972 | 43.97100 | 12412593 | 674.7881 |
| epa | Asia | 1977 | 46.74800 | 13933198 | 694.1124 |
| epa | Asia | 1982 | 49.59400 | 15796314 | 718.3731 |
| epa | Asia | 1987 | 52.53700 | 17917180 | 775.6325 |
| epa | Asia | 1992 | 55.72700 | 20326209 | 897.7404 |
| epa | Asia | 1997 | 59.42600 | 23001113 | 1010.8921 |
| epa | Asia | 2002 | 61.34000 | 25873917 | 1057.2063 |
| epa | Asia | 2007 | 63.78500 | 28901790 | 1091.3598 |
| etherland | Europe | 1952 | 72.13000 | 10381988 | 8941.5719 |
| etherland | Europe | 1957 | 72.99000 | 11026383 | 11276.1934 |
| etherland | Europe | 1962 | 73.23000 | 11805689 | 12790.8496 |
| etherland | Europe | 1967 | 73.82000 | 12596822 | 15363.2514 |
| etherland | Europe | 1972 | 73.75000 | 13329874 | 18794.7457 |
| etherland | Europe | 1977 | 75.24000 | 13852989 | 21209.0592 |
| etherland | Europe | 1982 | 76.05000 | 14310401 | 21399.4605 |
| etherland | Europe | 1987 | 76.83000 | 14665278 | 23651.3236 |
| etherland | Europe | 1992 | 77.42000 | 15174244 | 26790.9496 |
| etherland | Europe | 1997 | 78.03000 | 15604464 | 30246.1306 |
| etherland | Europe | 2002 | 78.53000 | 16122830 | 33724.7578 |
| etherland | Europe | 2007 | 79.76200 | 16570613 | 36797.9333 |
| ew Zealan | Oceania | 1952 | 69.39000 | 1994794 | 10556.5757 |
| ew Zealan | Oceania | 1957 | 70.26000 | 2229407 | 12247.3953 |
| ew Zealan | Oceania | 1962 | 71.24000 | 2488550 | 13175.6780 |
| ew Zealan | Oceania | 1967 | 71.52000 | 2728150 | 14463.9189 |
| ew Zealan | Oceania | 1972 | 71.89000 | 2929100 | 16046.0373 |
| ew Zealan | Oceania | 1977 | 72.22000 | 3164900 | 16233.7177 |
| ew Zealan | Oceania | 1982 | 73.84000 | 3210650 | 17632.4104 |
| ew Zealan | Oceania | 1987 | 74.32000 | 3317166 | 19007.1913 |
| ew Zealan | Oceania | 1992 | 76.33000 | 3437674 | 18363.3249 |
| ew Zealan | Oceania | 1997 | 77.55000 | 3676187 | 21050.4138 |
| ew Zealan | Oceania | 2002 | 79.11000 | 3908037 | 23189.8014 |
| ew Zealan | Oceania | 2007 | 80.20400 | 4115771 | 25185.0091 |
| icaragu | Americas | 1952 | 42.31400 | 1165790 | 3112.3639 |
| icaragu | Americas | 1957 | 45.43200 | 1358828 | 3457.4159 |
| icaragu | Americas | 1962 | 48.63200 | 1590597 | 3634.3644 |
| icaragu | Americas | 1967 | 51.88400 | 1865490 | 4643.3935 |
| icaragu | Americas | 1972 | 55.15100 | 2182908 | 4688.5933 |
| icaragu | Americas | 1977 | 57.47000 | 2554598 | 5486.3711 |
| icaragu | Americas | 1982 | 59.29800 | 2979423 | 3470.3382 |
| icaragu | Americas | 1987 | 62.00800 | 3344353 | 2955.9844 |
| icaragu | Americas | 1992 | 65.84300 | 4017939 | 2170.1517 |
| icaragu | Americas | 1997 | 68.42600 | 4609572 | 2253.0230 |
| icaragu | Americas | 2002 | 70.83600 | 5146848 | 2474.5488 |
| icaragu | Americas | 2007 | 72.89900 | 5675356 | 2749.3210 |
| ige | Africa | 1952 | 37.44400 | 3379468 | 761.8794 |
| ige | Africa | 1957 | 38.59800 | 3692184 | 835.5234 |
| ige | Africa | 1962 | 39.48700 | 4076008 | 997.7661 |
| ige | Africa | 1967 | 40.11800 | 4534062 | 1054.3849 |
| ige | Africa | 1972 | 40.54600 | 5060262 | 954.2092 |
| ige | Africa | 1977 | 41.29100 | 5682086 | 808.8971 |
| ige | Africa | 1982 | 42.59800 | 6437188 | 909.7221 |
| ige | Africa | 1987 | 44.55500 | 7332638 | 668.3000 |
| ige | Africa | 1992 | 47.39100 | 8392818 | 581.1827 |
| ige | Africa | 1997 | 51.31300 | 9666252 | 580.3052 |
| ige | Africa | 2002 | 54.49600 | 11140655 | 601.0745 |
| ige | Africa | 2007 | 56.86700 | 12894865 | 619.6769 |
| igeri | Africa | 1952 | 36.32400 | 33119096 | 1077.2819 |
| igeri | Africa | 1957 | 37.80200 | 37173340 | 1100.5926 |
| igeri | Africa | 1962 | 39.36000 | 41871351 | 1150.9275 |
| igeri | Africa | 1967 | 41.04000 | 47287752 | 1014.5141 |
| igeri | Africa | 1972 | 42.82100 | 53740085 | 1698.3888 |
| igeri | Africa | 1977 | 44.51400 | 62209173 | 1981.9518 |
| igeri | Africa | 1982 | 45.82600 | 73039376 | 1576.9738 |
| igeri | Africa | 1987 | 46.88600 | 81551520 | 1385.0296 |
| igeri | Africa | 1992 | 47.47200 | 93364244 | 1619.8482 |
| igeri | Africa | 1997 | 47.46400 | 106207839 | 1624.9413 |
| igeri | Africa | 2002 | 46.60800 | 119901274 | 1615.2864 |
| igeri | Africa | 2007 | 46.85900 | 135031164 | 2013.9773 |
| orwa | Europe | 1952 | 72.67000 | 3327728 | 10095.4217 |
| orwa | Europe | 1957 | 73.44000 | 3491938 | 11653.9730 |
| orwa | Europe | 1962 | 73.47000 | 3638919 | 13450.4015 |
| orwa | Europe | 1967 | 74.08000 | 3786019 | 16361.8765 |
| orwa | Europe | 1972 | 74.34000 | 3933004 | 18965.0555 |
| orwa | Europe | 1977 | 75.37000 | 4043205 | 23311.3494 |
| orwa | Europe | 1982 | 75.97000 | 4114787 | 26298.6353 |
| orwa | Europe | 1987 | 75.89000 | 4186147 | 31540.9748 |
| orwa | Europe | 1992 | 77.32000 | 4286357 | 33965.6611 |
| orwa | Europe | 1997 | 78.32000 | 4405672 | 41283.1643 |
| orwa | Europe | 2002 | 79.05000 | 4535591 | 44683.9753 |
| orwa | Europe | 2007 | 80.19600 | 4627926 | 49357.1902 |
| ma | Asia | 1952 | 37.57800 | 507833 | 1828.2303 |
| ma | Asia | 1957 | 40.08000 | 561977 | 2242.7466 |
| ma | Asia | 1962 | 43.16500 | 628164 | 2924.6381 |
| ma | Asia | 1967 | 46.98800 | 714775 | 4720.9427 |
| ma | Asia | 1972 | 52.14300 | 829050 | 10618.0385 |
| ma | Asia | 1977 | 57.36700 | 1004533 | 11848.3439 |
| ma | Asia | 1982 | 62.72800 | 1301048 | 12954.7910 |
| ma | Asia | 1987 | 67.73400 | 1593882 | 18115.2231 |
| ma | Asia | 1992 | 71.19700 | 1915208 | 18616.7069 |
| ma | Asia | 1997 | 72.49900 | 2283635 | 19702.0558 |
| ma | Asia | 2002 | 74.19300 | 2713462 | 19774.8369 |
| ma | Asia | 2007 | 75.64000 | 3204897 | 22316.1929 |
| akista | Asia | 1952 | 43.43600 | 41346560 | 684.5971 |
| akista | Asia | 1957 | 45.55700 | 46679944 | 747.0835 |
| akista | Asia | 1962 | 47.67000 | 53100671 | 803.3427 |
| akista | Asia | 1967 | 49.80000 | 60641899 | 942.4083 |
| akista | Asia | 1972 | 51.92900 | 69325921 | 1049.9390 |
| akista | Asia | 1977 | 54.04300 | 78152686 | 1175.9212 |
| akista | Asia | 1982 | 56.15800 | 91462088 | 1443.4298 |
| akista | Asia | 1987 | 58.24500 | 105186881 | 1704.6866 |
| akista | Asia | 1992 | 60.83800 | 120065004 | 1971.8295 |
| akista | Asia | 1997 | 61.81800 | 135564834 | 2049.3505 |
| akista | Asia | 2002 | 63.61000 | 153403524 | 2092.7124 |
| akista | Asia | 2007 | 65.48300 | 169270617 | 2605.9476 |
| anam | Americas | 1952 | 55.19100 | 940080 | 2480.3803 |
| anam | Americas | 1957 | 59.20100 | 1063506 | 2961.8009 |
| anam | Americas | 1962 | 61.81700 | 1215725 | 3536.5403 |
| anam | Americas | 1967 | 64.07100 | 1405486 | 4421.0091 |
| anam | Americas | 1972 | 66.21600 | 1616384 | 5364.2497 |
| anam | Americas | 1977 | 68.68100 | 1839782 | 5351.9121 |
| anam | Americas | 1982 | 70.47200 | 2036305 | 7009.6016 |
| anam | Americas | 1987 | 71.52300 | 2253639 | 7034.7792 |
| anam | Americas | 1992 | 72.46200 | 2484997 | 6618.7431 |
| anam | Americas | 1997 | 73.73800 | 2734531 | 7113.6923 |
| anam | Americas | 2002 | 74.71200 | 2990875 | 7356.0319 |
| anam | Americas | 2007 | 75.53700 | 3242173 | 9809.1856 |
| aragua | Americas | 1952 | 62.64900 | 1555876 | 1952.3087 |
| aragua | Americas | 1957 | 63.19600 | 1770902 | 2046.1547 |
| aragua | Americas | 1962 | 64.36100 | 2009813 | 2148.0271 |
| aragua | Americas | 1967 | 64.95100 | 2287985 | 2299.3763 |
| aragua | Americas | 1972 | 65.81500 | 2614104 | 2523.3380 |
| aragua | Americas | 1977 | 66.35300 | 2984494 | 3248.3733 |
| aragua | Americas | 1982 | 66.87400 | 3366439 | 4258.5036 |
| aragua | Americas | 1987 | 67.37800 | 3886512 | 3998.8757 |
| aragua | Americas | 1992 | 68.22500 | 4483945 | 4196.4111 |
| aragua | Americas | 1997 | 69.40000 | 5154123 | 4247.4003 |
| aragua | Americas | 2002 | 70.75500 | 5884491 | 3783.6742 |
| aragua | Americas | 2007 | 71.75200 | 6667147 | 4172.8385 |
| er | Americas | 1952 | 43.90200 | 8025700 | 3758.5234 |
| er | Americas | 1957 | 46.26300 | 9146100 | 4245.2567 |
| er | Americas | 1962 | 49.09600 | 10516500 | 4957.0380 |
| er | Americas | 1967 | 51.44500 | 12132200 | 5788.0933 |
| er | Americas | 1972 | 55.44800 | 13954700 | 5937.8273 |
| er | Americas | 1977 | 58.44700 | 15990099 | 6281.2909 |
| er | Americas | 1982 | 61.40600 | 18125129 | 6434.5018 |
| er | Americas | 1987 | 64.13400 | 20195924 | 6360.9434 |
| er | Americas | 1992 | 66.45800 | 22430449 | 4446.3809 |
| er | Americas | 1997 | 68.38600 | 24748122 | 5838.3477 |
| er | Americas | 2002 | 69.90600 | 26769436 | 5909.0201 |
| er | Americas | 2007 | 71.42100 | 28674757 | 7408.9056 |
| hilippine | Asia | 1952 | 47.75200 | 22438691 | 1272.8810 |
| hilippine | Asia | 1957 | 51.33400 | 26072194 | 1547.9448 |
| hilippine | Asia | 1962 | 54.75700 | 30325264 | 1649.5522 |
| hilippine | Asia | 1967 | 56.39300 | 35356600 | 1814.1274 |
| hilippine | Asia | 1972 | 58.06500 | 40850141 | 1989.3741 |
| hilippine | Asia | 1977 | 60.06000 | 46850962 | 2373.2043 |
| hilippine | Asia | 1982 | 62.08200 | 53456774 | 2603.2738 |
| hilippine | Asia | 1987 | 64.15100 | 60017788 | 2189.6350 |
| hilippine | Asia | 1992 | 66.45800 | 67185766 | 2279.3240 |
| hilippine | Asia | 1997 | 68.56400 | 75012988 | 2536.5349 |
| hilippine | Asia | 2002 | 70.30300 | 82995088 | 2650.9211 |
| hilippine | Asia | 2007 | 71.68800 | 91077287 | 3190.4810 |
| olan | Europe | 1952 | 61.31000 | 25730551 | 4029.3297 |
| olan | Europe | 1957 | 65.77000 | 28235346 | 4734.2530 |
| olan | Europe | 1962 | 67.64000 | 30329617 | 5338.7521 |
| olan | Europe | 1967 | 69.61000 | 31785378 | 6557.1528 |
| olan | Europe | 1972 | 70.85000 | 33039545 | 8006.5070 |
| olan | Europe | 1977 | 70.67000 | 34621254 | 9508.1415 |
| olan | Europe | 1982 | 71.32000 | 36227381 | 8451.5310 |
| olan | Europe | 1987 | 70.98000 | 37740710 | 9082.3512 |
| olan | Europe | 1992 | 70.99000 | 38370697 | 7738.8812 |
| olan | Europe | 1997 | 72.75000 | 38654957 | 10159.5837 |
| olan | Europe | 2002 | 74.67000 | 38625976 | 12002.2391 |
| olan | Europe | 2007 | 75.56300 | 38518241 | 15389.9247 |
| ortuga | Europe | 1952 | 59.82000 | 8526050 | 3068.3199 |
| ortuga | Europe | 1957 | 61.51000 | 8817650 | 3774.5717 |
| ortuga | Europe | 1962 | 64.39000 | 9019800 | 4727.9549 |
| ortuga | Europe | 1967 | 66.60000 | 9103000 | 6361.5180 |
| ortuga | Europe | 1972 | 69.26000 | 8970450 | 9022.2474 |
| ortuga | Europe | 1977 | 70.41000 | 9662600 | 10172.4857 |
| ortuga | Europe | 1982 | 72.77000 | 9859650 | 11753.8429 |
| ortuga | Europe | 1987 | 74.06000 | 9915289 | 13039.3088 |
| ortuga | Europe | 1992 | 74.86000 | 9927680 | 16207.2666 |
| ortuga | Europe | 1997 | 75.97000 | 10156415 | 17641.0316 |
| ortuga | Europe | 2002 | 77.29000 | 10433867 | 19970.9079 |
| ortuga | Europe | 2007 | 78.09800 | 10642836 | 20509.6478 |
| uerto Ric | Americas | 1952 | 64.28000 | 2227000 | 3081.9598 |
| uerto Ric | Americas | 1957 | 68.54000 | 2260000 | 3907.1562 |
| uerto Ric | Americas | 1962 | 69.62000 | 2448046 | 5108.3446 |
| uerto Ric | Americas | 1967 | 71.10000 | 2648961 | 6929.2777 |
| uerto Ric | Americas | 1972 | 72.16000 | 2847132 | 9123.0417 |
| uerto Ric | Americas | 1977 | 73.44000 | 3080828 | 9770.5249 |
| uerto Ric | Americas | 1982 | 73.75000 | 3279001 | 10330.9891 |
| uerto Ric | Americas | 1987 | 74.63000 | 3444468 | 12281.3419 |
| uerto Ric | Americas | 1992 | 73.91100 | 3585176 | 14641.5871 |
| uerto Ric | Americas | 1997 | 74.91700 | 3759430 | 16999.4333 |
| uerto Ric | Americas | 2002 | 77.77800 | 3859606 | 18855.6062 |
| uerto Ric | Americas | 2007 | 78.74600 | 3942491 | 19328.7090 |
| eunio | Africa | 1952 | 52.72400 | 257700 | 2718.8853 |
| eunio | Africa | 1957 | 55.09000 | 308700 | 2769.4518 |
| eunio | Africa | 1962 | 57.66600 | 358900 | 3173.7233 |
| eunio | Africa | 1967 | 60.54200 | 414024 | 4021.1757 |
| eunio | Africa | 1972 | 64.27400 | 461633 | 5047.6586 |
| eunio | Africa | 1977 | 67.06400 | 492095 | 4319.8041 |
| eunio | Africa | 1982 | 69.88500 | 517810 | 5267.2194 |
| eunio | Africa | 1987 | 71.91300 | 562035 | 5303.3775 |
| eunio | Africa | 1992 | 73.61500 | 622191 | 6101.2558 |
| eunio | Africa | 1997 | 74.77200 | 684810 | 6071.9414 |
| eunio | Africa | 2002 | 75.74400 | 743981 | 6316.1652 |
| eunio | Africa | 2007 | 76.44200 | 798094 | 7670.1226 |
| omani | Europe | 1952 | 61.05000 | 16630000 | 3144.6132 |
| omani | Europe | 1957 | 64.10000 | 17829327 | 3943.3702 |
| omani | Europe | 1962 | 66.80000 | 18680721 | 4734.9976 |
| omani | Europe | 1967 | 66.80000 | 19284814 | 6470.8665 |
| omani | Europe | 1972 | 69.21000 | 20662648 | 8011.4144 |
| omani | Europe | 1977 | 69.46000 | 21658597 | 9356.3972 |
| omani | Europe | 1982 | 69.66000 | 22356726 | 9605.3141 |
| omani | Europe | 1987 | 69.53000 | 22686371 | 9696.2733 |
| omani | Europe | 1992 | 69.36000 | 22797027 | 6598.4099 |
| omani | Europe | 1997 | 69.72000 | 22562458 | 7346.5476 |
| omani | Europe | 2002 | 71.32200 | 22404337 | 7885.3601 |
| omani | Europe | 2007 | 72.47600 | 22276056 | 10808.4756 |
| wand | Africa | 1952 | 40.00000 | 2534927 | 493.3239 |
| wand | Africa | 1957 | 41.50000 | 2822082 | 540.2894 |
| wand | Africa | 1962 | 43.00000 | 3051242 | 597.4731 |
| wand | Africa | 1967 | 44.10000 | 3451079 | 510.9637 |
| wand | Africa | 1972 | 44.60000 | 3992121 | 590.5807 |
| wand | Africa | 1977 | 45.00000 | 4657072 | 670.0806 |
| wand | Africa | 1982 | 46.21800 | 5507565 | 881.5706 |
| wand | Africa | 1987 | 44.02000 | 6349365 | 847.9912 |
| wand | Africa | 1992 | 23.59900 | 7290203 | 737.0686 |
| wand | Africa | 1997 | 36.08700 | 7212583 | 589.9445 |
| wand | Africa | 2002 | 43.41300 | 7852401 | 785.6538 |
| wand | Africa | 2007 | 46.24200 | 8860588 | 863.0885 |
| ao Tome and Princip | Africa | 1952 | 46.47100 | 60011 | 879.5836 |
| ao Tome and Princip | Africa | 1957 | 48.94500 | 61325 | 860.7369 |
| ao Tome and Princip | Africa | 1962 | 51.89300 | 65345 | 1071.5511 |
| ao Tome and Princip | Africa | 1967 | 54.42500 | 70787 | 1384.8406 |
| ao Tome and Princip | Africa | 1972 | 56.48000 | 76595 | 1532.9853 |
| ao Tome and Princip | Africa | 1977 | 58.55000 | 86796 | 1737.5617 |
| ao Tome and Princip | Africa | 1982 | 60.35100 | 98593 | 1890.2181 |
| ao Tome and Princip | Africa | 1987 | 61.72800 | 110812 | 1516.5255 |
| ao Tome and Princip | Africa | 1992 | 62.74200 | 125911 | 1428.7778 |
| ao Tome and Princip | Africa | 1997 | 63.30600 | 145608 | 1339.0760 |
| ao Tome and Princip | Africa | 2002 | 64.33700 | 170372 | 1353.0924 |
| ao Tome and Princip | Africa | 2007 | 65.52800 | 199579 | 1598.4351 |
| audi Arabi | Asia | 1952 | 39.87500 | 4005677 | 6459.5548 |
| audi Arabi | Asia | 1957 | 42.86800 | 4419650 | 8157.5912 |
| audi Arabi | Asia | 1962 | 45.91400 | 4943029 | 11626.4197 |
| audi Arabi | Asia | 1967 | 49.90100 | 5618198 | 16903.0489 |
| audi Arabi | Asia | 1972 | 53.88600 | 6472756 | 24837.4287 |
| audi Arabi | Asia | 1977 | 58.69000 | 8128505 | 34167.7626 |
| audi Arabi | Asia | 1982 | 63.01200 | 11254672 | 33693.1753 |
| audi Arabi | Asia | 1987 | 66.29500 | 14619745 | 21198.2614 |
| audi Arabi | Asia | 1992 | 68.76800 | 16945857 | 24841.6178 |
| audi Arabi | Asia | 1997 | 70.53300 | 21229759 | 20586.6902 |
| audi Arabi | Asia | 2002 | 71.62600 | 24501530 | 19014.5412 |
| audi Arabi | Asia | 2007 | 72.77700 | 27601038 | 21654.8319 |
| enega | Africa | 1952 | 37.27800 | 2755589 | 1450.3570 |
| enega | Africa | 1957 | 39.32900 | 3054547 | 1567.6530 |
| enega | Africa | 1962 | 41.45400 | 3430243 | 1654.9887 |
| enega | Africa | 1967 | 43.56300 | 3965841 | 1612.4046 |
| enega | Africa | 1972 | 45.81500 | 4588696 | 1597.7121 |
| enega | Africa | 1977 | 48.87900 | 5260855 | 1561.7691 |
| enega | Africa | 1982 | 52.37900 | 6147783 | 1518.4800 |
| enega | Africa | 1987 | 55.76900 | 7171347 | 1441.7207 |
| enega | Africa | 1992 | 58.19600 | 8307920 | 1367.8994 |
| enega | Africa | 1997 | 60.18700 | 9535314 | 1392.3683 |
| enega | Africa | 2002 | 61.60000 | 10870037 | 1519.6353 |
| enega | Africa | 2007 | 63.06200 | 12267493 | 1712.4721 |
| erbi | Europe | 1952 | 57.99600 | 6860147 | 3581.4594 |
| erbi | Europe | 1957 | 61.68500 | 7271135 | 4981.0909 |
| erbi | Europe | 1962 | 64.53100 | 7616060 | 6289.6292 |
| erbi | Europe | 1967 | 66.91400 | 7971222 | 7991.7071 |
| erbi | Europe | 1972 | 68.70000 | 8313288 | 10522.0675 |
| erbi | Europe | 1977 | 70.30000 | 8686367 | 12980.6696 |
| erbi | Europe | 1982 | 70.16200 | 9032824 | 15181.0927 |
| erbi | Europe | 1987 | 71.21800 | 9230783 | 15870.8785 |
| erbi | Europe | 1992 | 71.65900 | 9826397 | 9325.0682 |
| erbi | Europe | 1997 | 72.23200 | 10336594 | 7914.3203 |
| erbi | Europe | 2002 | 73.21300 | 10111559 | 7236.0753 |
| erbi | Europe | 2007 | 74.00200 | 10150265 | 9786.5347 |
| ierra Leon | Africa | 1952 | 30.33100 | 2143249 | 879.7877 |
| ierra Leon | Africa | 1957 | 31.57000 | 2295678 | 1004.4844 |
| ierra Leon | Africa | 1962 | 32.76700 | 2467895 | 1116.6399 |
| ierra Leon | Africa | 1967 | 34.11300 | 2662190 | 1206.0435 |
| ierra Leon | Africa | 1972 | 35.40000 | 2879013 | 1353.7598 |
| ierra Leon | Africa | 1977 | 36.78800 | 3140897 | 1348.2852 |
| ierra Leon | Africa | 1982 | 38.44500 | 3464522 | 1465.0108 |
| ierra Leon | Africa | 1987 | 40.00600 | 3868905 | 1294.4478 |
| ierra Leon | Africa | 1992 | 38.33300 | 4260884 | 1068.6963 |
| ierra Leon | Africa | 1997 | 39.89700 | 4578212 | 574.6482 |
| ierra Leon | Africa | 2002 | 41.01200 | 5359092 | 699.4897 |
| ierra Leon | Africa | 2007 | 42.56800 | 6144562 | 862.5408 |
| ingapor | Asia | 1952 | 60.39600 | 1127000 | 2315.1382 |
| ingapor | Asia | 1957 | 63.17900 | 1445929 | 2843.1044 |
| ingapor | Asia | 1962 | 65.79800 | 1750200 | 3674.7356 |
| ingapor | Asia | 1967 | 67.94600 | 1977600 | 4977.4185 |
| ingapor | Asia | 1972 | 69.52100 | 2152400 | 8597.7562 |
| ingapor | Asia | 1977 | 70.79500 | 2325300 | 11210.0895 |
| ingapor | Asia | 1982 | 71.76000 | 2651869 | 15169.1611 |
| ingapor | Asia | 1987 | 73.56000 | 2794552 | 18861.5308 |
| ingapor | Asia | 1992 | 75.78800 | 3235865 | 24769.8912 |
| ingapor | Asia | 1997 | 77.15800 | 3802309 | 33519.4766 |
| ingapor | Asia | 2002 | 78.77000 | 4197776 | 36023.1054 |
| ingapor | Asia | 2007 | 79.97200 | 4553009 | 47143.1796 |
| lovak Republi | Europe | 1952 | 64.36000 | 3558137 | 5074.6591 |
| lovak Republi | Europe | 1957 | 67.45000 | 3844277 | 6093.2630 |
| lovak Republi | Europe | 1962 | 70.33000 | 4237384 | 7481.1076 |
| lovak Republi | Europe | 1967 | 70.98000 | 4442238 | 8412.9024 |
| lovak Republi | Europe | 1972 | 70.35000 | 4593433 | 9674.1676 |
| lovak Republi | Europe | 1977 | 70.45000 | 4827803 | 10922.6640 |
| lovak Republi | Europe | 1982 | 70.80000 | 5048043 | 11348.5459 |
| lovak Republi | Europe | 1987 | 71.08000 | 5199318 | 12037.2676 |
| lovak Republi | Europe | 1992 | 71.38000 | 5302888 | 9498.4677 |
| lovak Republi | Europe | 1997 | 72.71000 | 5383010 | 12126.2306 |
| lovak Republi | Europe | 2002 | 73.80000 | 5410052 | 13638.7784 |
| lovak Republi | Europe | 2007 | 74.66300 | 5447502 | 18678.3144 |
| loveni | Europe | 1952 | 65.57000 | 1489518 | 4215.0417 |
| loveni | Europe | 1957 | 67.85000 | 1533070 | 5862.2766 |
| loveni | Europe | 1962 | 69.15000 | 1582962 | 7402.3034 |
| loveni | Europe | 1967 | 69.18000 | 1646912 | 9405.4894 |
| loveni | Europe | 1972 | 69.82000 | 1694510 | 12383.4862 |
| loveni | Europe | 1977 | 70.97000 | 1746919 | 15277.0302 |
| loveni | Europe | 1982 | 71.06300 | 1861252 | 17866.7218 |
| loveni | Europe | 1987 | 72.25000 | 1945870 | 18678.5349 |
| loveni | Europe | 1992 | 73.64000 | 1999210 | 14214.7168 |
| loveni | Europe | 1997 | 75.13000 | 2011612 | 17161.1073 |
| loveni | Europe | 2002 | 76.66000 | 2011497 | 20660.0194 |
| loveni | Europe | 2007 | 77.92600 | 2009245 | 25768.2576 |
| omali | Africa | 1952 | 32.97800 | 2526994 | 1135.7498 |
| omali | Africa | 1957 | 34.97700 | 2780415 | 1258.1474 |
| omali | Africa | 1962 | 36.98100 | 3080153 | 1369.4883 |
| omali | Africa | 1967 | 38.97700 | 3428839 | 1284.7332 |
| omali | Africa | 1972 | 40.97300 | 3840161 | 1254.5761 |
| omali | Africa | 1977 | 41.97400 | 4353666 | 1450.9925 |
| omali | Africa | 1982 | 42.95500 | 5828892 | 1176.8070 |
| omali | Africa | 1987 | 44.50100 | 6921858 | 1093.2450 |
| omali | Africa | 1992 | 39.65800 | 6099799 | 926.9603 |
| omali | Africa | 1997 | 43.79500 | 6633514 | 930.5964 |
| omali | Africa | 2002 | 45.93600 | 7753310 | 882.0818 |
| omali | Africa | 2007 | 48.15900 | 9118773 | 926.1411 |
| outh Afric | Africa | 1952 | 45.00900 | 14264935 | 4725.2955 |
| outh Afric | Africa | 1957 | 47.98500 | 16151549 | 5487.1042 |
| outh Afric | Africa | 1962 | 49.95100 | 18356657 | 5768.7297 |
| outh Afric | Africa | 1967 | 51.92700 | 20997321 | 7114.4780 |
| outh Afric | Africa | 1972 | 53.69600 | 23935810 | 7765.9626 |
| outh Afric | Africa | 1977 | 55.52700 | 27129932 | 8028.6514 |
| outh Afric | Africa | 1982 | 58.16100 | 31140029 | 8568.2662 |
| outh Afric | Africa | 1987 | 60.83400 | 35933379 | 7825.8234 |
| outh Afric | Africa | 1992 | 61.88800 | 39964159 | 7225.0693 |
| outh Afric | Africa | 1997 | 60.23600 | 42835005 | 7479.1882 |
| outh Afric | Africa | 2002 | 53.36500 | 44433622 | 7710.9464 |
| outh Afric | Africa | 2007 | 49.33900 | 43997828 | 9269.6578 |
| pai | Europe | 1952 | 64.94000 | 28549870 | 3834.0347 |
| pai | Europe | 1957 | 66.66000 | 29841614 | 4564.8024 |
| pai | Europe | 1962 | 69.69000 | 31158061 | 5693.8439 |
| pai | Europe | 1967 | 71.44000 | 32850275 | 7993.5123 |
| pai | Europe | 1972 | 73.06000 | 34513161 | 10638.7513 |
| pai | Europe | 1977 | 74.39000 | 36439000 | 13236.9212 |
| pai | Europe | 1982 | 76.30000 | 37983310 | 13926.1700 |
| pai | Europe | 1987 | 76.90000 | 38880702 | 15764.9831 |
| pai | Europe | 1992 | 77.57000 | 39549438 | 18603.0645 |
| pai | Europe | 1997 | 78.77000 | 39855442 | 20445.2990 |
| pai | Europe | 2002 | 79.78000 | 40152517 | 24835.4717 |
| pai | Europe | 2007 | 80.94100 | 40448191 | 28821.0637 |
| ri Lank | Asia | 1952 | 57.59300 | 7982342 | 1083.5320 |
| ri Lank | Asia | 1957 | 61.45600 | 9128546 | 1072.5466 |
| ri Lank | Asia | 1962 | 62.19200 | 10421936 | 1074.4720 |
| ri Lank | Asia | 1967 | 64.26600 | 11737396 | 1135.5143 |
| ri Lank | Asia | 1972 | 65.04200 | 13016733 | 1213.3955 |
| ri Lank | Asia | 1977 | 65.94900 | 14116836 | 1348.7757 |
| ri Lank | Asia | 1982 | 68.75700 | 15410151 | 1648.0798 |
| ri Lank | Asia | 1987 | 69.01100 | 16495304 | 1876.7668 |
| ri Lank | Asia | 1992 | 70.37900 | 17587060 | 2153.7392 |
| ri Lank | Asia | 1997 | 70.45700 | 18698655 | 2664.4773 |
| ri Lank | Asia | 2002 | 70.81500 | 19576783 | 3015.3788 |
| ri Lank | Asia | 2007 | 72.39600 | 20378239 | 3970.0954 |
| uda | Africa | 1952 | 38.63500 | 8504667 | 1615.9911 |
| uda | Africa | 1957 | 39.62400 | 9753392 | 1770.3371 |
| uda | Africa | 1962 | 40.87000 | 11183227 | 1959.5938 |
| uda | Africa | 1967 | 42.85800 | 12716129 | 1687.9976 |
| uda | Africa | 1972 | 45.08300 | 14597019 | 1659.6528 |
| uda | Africa | 1977 | 47.80000 | 17104986 | 2202.9884 |
| uda | Africa | 1982 | 50.33800 | 20367053 | 1895.5441 |
| uda | Africa | 1987 | 51.74400 | 24725960 | 1507.8192 |
| uda | Africa | 1992 | 53.55600 | 28227588 | 1492.1970 |
| uda | Africa | 1997 | 55.37300 | 32160729 | 1632.2108 |
| uda | Africa | 2002 | 56.36900 | 37090298 | 1993.3983 |
| uda | Africa | 2007 | 58.55600 | 42292929 | 2602.3950 |
| wazilan | Africa | 1952 | 41.40700 | 290243 | 1148.3766 |
| wazilan | Africa | 1957 | 43.42400 | 326741 | 1244.7084 |
| wazilan | Africa | 1962 | 44.99200 | 370006 | 1856.1821 |
| wazilan | Africa | 1967 | 46.63300 | 420690 | 2613.1017 |
| wazilan | Africa | 1972 | 49.55200 | 480105 | 3364.8366 |
| wazilan | Africa | 1977 | 52.53700 | 551425 | 3781.4106 |
| wazilan | Africa | 1982 | 55.56100 | 649901 | 3895.3840 |
| wazilan | Africa | 1987 | 57.67800 | 779348 | 3984.8398 |
| wazilan | Africa | 1992 | 58.47400 | 962344 | 3553.0224 |
| wazilan | Africa | 1997 | 54.28900 | 1054486 | 3876.7685 |
| wazilan | Africa | 2002 | 43.86900 | 1130269 | 4128.1169 |
| wazilan | Africa | 2007 | 39.61300 | 1133066 | 4513.4806 |
| wede | Europe | 1952 | 71.86000 | 7124673 | 8527.8447 |
| wede | Europe | 1957 | 72.49000 | 7363802 | 9911.8782 |
| wede | Europe | 1962 | 73.37000 | 7561588 | 12329.4419 |
| wede | Europe | 1967 | 74.16000 | 7867931 | 15258.2970 |
| wede | Europe | 1972 | 74.72000 | 8122293 | 17832.0246 |
| wede | Europe | 1977 | 75.44000 | 8251648 | 18855.7252 |
| wede | Europe | 1982 | 76.42000 | 8325260 | 20667.3812 |
| wede | Europe | 1987 | 77.19000 | 8421403 | 23586.9293 |
| wede | Europe | 1992 | 78.16000 | 8718867 | 23880.0168 |
| wede | Europe | 1997 | 79.39000 | 8897619 | 25266.5950 |
| wede | Europe | 2002 | 80.04000 | 8954175 | 29341.6309 |
| wede | Europe | 2007 | 80.88400 | 9031088 | 33859.7484 |
| witzerlan | Europe | 1952 | 69.62000 | 4815000 | 14734.2327 |
| witzerlan | Europe | 1957 | 70.56000 | 5126000 | 17909.4897 |
| witzerlan | Europe | 1962 | 71.32000 | 5666000 | 20431.0927 |
| witzerlan | Europe | 1967 | 72.77000 | 6063000 | 22966.1443 |
| witzerlan | Europe | 1972 | 73.78000 | 6401400 | 27195.1130 |
| witzerlan | Europe | 1977 | 75.39000 | 6316424 | 26982.2905 |
| witzerlan | Europe | 1982 | 76.21000 | 6468126 | 28397.7151 |
| witzerlan | Europe | 1987 | 77.41000 | 6649942 | 30281.7046 |
| witzerlan | Europe | 1992 | 78.03000 | 6995447 | 31871.5303 |
| witzerlan | Europe | 1997 | 79.37000 | 7193761 | 32135.3230 |
| witzerlan | Europe | 2002 | 80.62000 | 7361757 | 34480.9577 |
| witzerlan | Europe | 2007 | 81.70100 | 7554661 | 37506.4191 |
| yri | Asia | 1952 | 45.88300 | 3661549 | 1643.4854 |
| yri | Asia | 1957 | 48.28400 | 4149908 | 2117.2349 |
| yri | Asia | 1962 | 50.30500 | 4834621 | 2193.0371 |
| yri | Asia | 1967 | 53.65500 | 5680812 | 1881.9236 |
| yri | Asia | 1972 | 57.29600 | 6701172 | 2571.4230 |
| yri | Asia | 1977 | 61.19500 | 7932503 | 3195.4846 |
| yri | Asia | 1982 | 64.59000 | 9410494 | 3761.8377 |
| yri | Asia | 1987 | 66.97400 | 11242847 | 3116.7743 |
| yri | Asia | 1992 | 69.24900 | 13219062 | 3340.5428 |
| yri | Asia | 1997 | 71.52700 | 15081016 | 4014.2390 |
| yri | Asia | 2002 | 73.05300 | 17155814 | 4090.9253 |
| yri | Asia | 2007 | 74.14300 | 19314747 | 4184.5481 |
| aiwa | Asia | 1952 | 58.50000 | 8550362 | 1206.9479 |
| aiwa | Asia | 1957 | 62.40000 | 10164215 | 1507.8613 |
| aiwa | Asia | 1962 | 65.20000 | 11918938 | 1822.8790 |
| aiwa | Asia | 1967 | 67.50000 | 13648692 | 2643.8587 |
| aiwa | Asia | 1972 | 69.39000 | 15226039 | 4062.5239 |
| aiwa | Asia | 1977 | 70.59000 | 16785196 | 5596.5198 |
| aiwa | Asia | 1982 | 72.16000 | 18501390 | 7426.3548 |
| aiwa | Asia | 1987 | 73.40000 | 19757799 | 11054.5618 |
| aiwa | Asia | 1992 | 74.26000 | 20686918 | 15215.6579 |
| aiwa | Asia | 1997 | 75.25000 | 21628605 | 20206.8210 |
| aiwa | Asia | 2002 | 76.99000 | 22454239 | 23235.4233 |
| aiwa | Asia | 2007 | 78.40000 | 23174294 | 28718.2768 |
| anzani | Africa | 1952 | 41.21500 | 8322925 | 716.6501 |
| anzani | Africa | 1957 | 42.97400 | 9452826 | 698.5356 |
| anzani | Africa | 1962 | 44.24600 | 10863958 | 722.0038 |
| anzani | Africa | 1967 | 45.75700 | 12607312 | 848.2187 |
| anzani | Africa | 1972 | 47.62000 | 14706593 | 915.9851 |
| anzani | Africa | 1977 | 49.91900 | 17129565 | 962.4923 |
| anzani | Africa | 1982 | 50.60800 | 19844382 | 874.2426 |
| anzani | Africa | 1987 | 51.53500 | 23040630 | 831.8221 |
| anzani | Africa | 1992 | 50.44000 | 26605473 | 825.6825 |
| anzani | Africa | 1997 | 48.46600 | 30686889 | 789.1862 |
| anzani | Africa | 2002 | 49.65100 | 34593779 | 899.0742 |
| anzani | Africa | 2007 | 52.51700 | 38139640 | 1107.4822 |
| hailan | Asia | 1952 | 50.84800 | 21289402 | 757.7974 |
| hailan | Asia | 1957 | 53.63000 | 25041917 | 793.5774 |
| hailan | Asia | 1962 | 56.06100 | 29263397 | 1002.1992 |
| hailan | Asia | 1967 | 58.28500 | 34024249 | 1295.4607 |
| hailan | Asia | 1972 | 60.40500 | 39276153 | 1524.3589 |
| hailan | Asia | 1977 | 62.49400 | 44148285 | 1961.2246 |
| hailan | Asia | 1982 | 64.59700 | 48827160 | 2393.2198 |
| hailan | Asia | 1987 | 66.08400 | 52910342 | 2982.6538 |
| hailan | Asia | 1992 | 67.29800 | 56667095 | 4616.8965 |
| hailan | Asia | 1997 | 67.52100 | 60216677 | 5852.6255 |
| hailan | Asia | 2002 | 68.56400 | 62806748 | 5913.1875 |
| hailan | Asia | 2007 | 70.61600 | 65068149 | 7458.3963 |
| og | Africa | 1952 | 38.59600 | 1219113 | 859.8087 |
| og | Africa | 1957 | 41.20800 | 1357445 | 925.9083 |
| og | Africa | 1962 | 43.92200 | 1528098 | 1067.5348 |
| og | Africa | 1967 | 46.76900 | 1735550 | 1477.5968 |
| og | Africa | 1972 | 49.75900 | 2056351 | 1649.6602 |
| og | Africa | 1977 | 52.88700 | 2308582 | 1532.7770 |
| og | Africa | 1982 | 55.47100 | 2644765 | 1344.5780 |
| og | Africa | 1987 | 56.94100 | 3154264 | 1202.2014 |
| og | Africa | 1992 | 58.06100 | 3747553 | 1034.2989 |
| og | Africa | 1997 | 58.39000 | 4320890 | 982.2869 |
| og | Africa | 2002 | 57.56100 | 4977378 | 886.2206 |
| og | Africa | 2007 | 58.42000 | 5701579 | 882.9699 |
| rinidad and Tobag | Americas | 1952 | 59.10000 | 662850 | 3023.2719 |
| rinidad and Tobag | Americas | 1957 | 61.80000 | 764900 | 4100.3934 |
| rinidad and Tobag | Americas | 1962 | 64.90000 | 887498 | 4997.5240 |
| rinidad and Tobag | Americas | 1967 | 65.40000 | 960155 | 5621.3685 |
| rinidad and Tobag | Americas | 1972 | 65.90000 | 975199 | 6619.5514 |
| rinidad and Tobag | Americas | 1977 | 68.30000 | 1039009 | 7899.5542 |
| rinidad and Tobag | Americas | 1982 | 68.83200 | 1116479 | 9119.5286 |
| rinidad and Tobag | Americas | 1987 | 69.58200 | 1191336 | 7388.5978 |
| rinidad and Tobag | Americas | 1992 | 69.86200 | 1183669 | 7370.9909 |
| rinidad and Tobag | Americas | 1997 | 69.46500 | 1138101 | 8792.5731 |
| rinidad and Tobag | Americas | 2002 | 68.97600 | 1101832 | 11460.6002 |
| rinidad and Tobag | Americas | 2007 | 69.81900 | 1056608 | 18008.5092 |
| unisi | Africa | 1952 | 44.60000 | 3647735 | 1468.4756 |
| unisi | Africa | 1957 | 47.10000 | 3950849 | 1395.2325 |
| unisi | Africa | 1962 | 49.57900 | 4286552 | 1660.3032 |
| unisi | Africa | 1967 | 52.05300 | 4786986 | 1932.3602 |
| unisi | Africa | 1972 | 55.60200 | 5303507 | 2753.2860 |
| unisi | Africa | 1977 | 59.83700 | 6005061 | 3120.8768 |
| unisi | Africa | 1982 | 64.04800 | 6734098 | 3560.2332 |
| unisi | Africa | 1987 | 66.89400 | 7724976 | 3810.4193 |
| unisi | Africa | 1992 | 70.00100 | 8523077 | 4332.7202 |
| unisi | Africa | 1997 | 71.97300 | 9231669 | 4876.7986 |
| unisi | Africa | 2002 | 73.04200 | 9770575 | 5722.8957 |
| unisi | Africa | 2007 | 73.92300 | 10276158 | 7092.9230 |
| urke | Europe | 1952 | 43.58500 | 22235677 | 1969.1010 |
| urke | Europe | 1957 | 48.07900 | 25670939 | 2218.7543 |
| urke | Europe | 1962 | 52.09800 | 29788695 | 2322.8699 |
| urke | Europe | 1967 | 54.33600 | 33411317 | 2826.3564 |
| urke | Europe | 1972 | 57.00500 | 37492953 | 3450.6964 |
| urke | Europe | 1977 | 59.50700 | 42404033 | 4269.1223 |
| urke | Europe | 1982 | 61.03600 | 47328791 | 4241.3563 |
| urke | Europe | 1987 | 63.10800 | 52881328 | 5089.0437 |
| urke | Europe | 1992 | 66.14600 | 58179144 | 5678.3483 |
| urke | Europe | 1997 | 68.83500 | 63047647 | 6601.4299 |
| urke | Europe | 2002 | 70.84500 | 67308928 | 6508.0857 |
| urke | Europe | 2007 | 71.77700 | 71158647 | 8458.2764 |
| gand | Africa | 1952 | 39.97800 | 5824797 | 734.7535 |
| gand | Africa | 1957 | 42.57100 | 6675501 | 774.3711 |
| gand | Africa | 1962 | 45.34400 | 7688797 | 767.2717 |
| gand | Africa | 1967 | 48.05100 | 8900294 | 908.9185 |
| gand | Africa | 1972 | 51.01600 | 10190285 | 950.7359 |
| gand | Africa | 1977 | 50.35000 | 11457758 | 843.7331 |
| gand | Africa | 1982 | 49.84900 | 12939400 | 682.2662 |
| gand | Africa | 1987 | 51.50900 | 15283050 | 617.7244 |
| gand | Africa | 1992 | 48.82500 | 18252190 | 644.1708 |
| gand | Africa | 1997 | 44.57800 | 21210254 | 816.5591 |
| gand | Africa | 2002 | 47.81300 | 24739869 | 927.7210 |
| gand | Africa | 2007 | 51.54200 | 29170398 | 1056.3801 |
| nited Kingdo | Europe | 1952 | 69.18000 | 50430000 | 9979.5085 |
| nited Kingdo | Europe | 1957 | 70.42000 | 51430000 | 11283.1779 |
| nited Kingdo | Europe | 1962 | 70.76000 | 53292000 | 12477.1771 |
| nited Kingdo | Europe | 1967 | 71.36000 | 54959000 | 14142.8509 |
| nited Kingdo | Europe | 1972 | 72.01000 | 56079000 | 15895.1164 |
| nited Kingdo | Europe | 1977 | 72.76000 | 56179000 | 17428.7485 |
| nited Kingdo | Europe | 1982 | 74.04000 | 56339704 | 18232.4245 |
| nited Kingdo | Europe | 1987 | 75.00700 | 56981620 | 21664.7877 |
| nited Kingdo | Europe | 1992 | 76.42000 | 57866349 | 22705.0925 |
| nited Kingdo | Europe | 1997 | 77.21800 | 58808266 | 26074.5314 |
| nited Kingdo | Europe | 2002 | 78.47100 | 59912431 | 29478.9992 |
| nited Kingdo | Europe | 2007 | 79.42500 | 60776238 | 33203.2613 |
| nited State | Americas | 1952 | 68.44000 | 157553000 | 13990.4821 |
| nited State | Americas | 1957 | 69.49000 | 171984000 | 14847.1271 |
| nited State | Americas | 1962 | 70.21000 | 186538000 | 16173.1459 |
| nited State | Americas | 1967 | 70.76000 | 198712000 | 19530.3656 |
| nited State | Americas | 1972 | 71.34000 | 209896000 | 21806.0359 |
| nited State | Americas | 1977 | 73.38000 | 220239000 | 24072.6321 |
| nited State | Americas | 1982 | 74.65000 | 232187835 | 25009.5591 |
| nited State | Americas | 1987 | 75.02000 | 242803533 | 29884.3504 |
| nited State | Americas | 1992 | 76.09000 | 256894189 | 32003.9322 |
| nited State | Americas | 1997 | 76.81000 | 272911760 | 35767.4330 |
| nited State | Americas | 2002 | 77.31000 | 287675526 | 39097.0995 |
| nited State | Americas | 2007 | 78.24200 | 301139947 | 42951.6531 |
| rugua | Americas | 1952 | 66.07100 | 2252965 | 5716.7667 |
| rugua | Americas | 1957 | 67.04400 | 2424959 | 6150.7730 |
| rugua | Americas | 1962 | 68.25300 | 2598466 | 5603.3577 |
| rugua | Americas | 1967 | 68.46800 | 2748579 | 5444.6196 |
| rugua | Americas | 1972 | 68.67300 | 2829526 | 5703.4089 |
| rugua | Americas | 1977 | 69.48100 | 2873520 | 6504.3397 |
| rugua | Americas | 1982 | 70.80500 | 2953997 | 6920.2231 |
| rugua | Americas | 1987 | 71.91800 | 3045153 | 7452.3990 |
| rugua | Americas | 1992 | 72.75200 | 3149262 | 8137.0048 |
| rugua | Americas | 1997 | 74.22300 | 3262838 | 9230.2407 |
| rugua | Americas | 2002 | 75.30700 | 3363085 | 7727.0020 |
| rugua | Americas | 2007 | 76.38400 | 3447496 | 10611.4630 |
| enezuel | Americas | 1952 | 55.08800 | 5439568 | 7689.7998 |
| enezuel | Americas | 1957 | 57.90700 | 6702668 | 9802.4665 |
| enezuel | Americas | 1962 | 60.77000 | 8143375 | 8422.9742 |
| enezuel | Americas | 1967 | 63.47900 | 9709552 | 9541.4742 |
| enezuel | Americas | 1972 | 65.71200 | 11515649 | 10505.2597 |
| enezuel | Americas | 1977 | 67.45600 | 13503563 | 13143.9510 |
| enezuel | Americas | 1982 | 68.55700 | 15620766 | 11152.4101 |
| enezuel | Americas | 1987 | 70.19000 | 17910182 | 9883.5846 |
| enezuel | Americas | 1992 | 71.15000 | 20265563 | 10733.9263 |
| enezuel | Americas | 1997 | 72.14600 | 22374398 | 10165.4952 |
| enezuel | Americas | 2002 | 72.76600 | 24287670 | 8605.0478 |
| enezuel | Americas | 2007 | 73.74700 | 26084662 | 11415.8057 |
| ietna | Asia | 1952 | 40.41200 | 26246839 | 605.0665 |
| ietna | Asia | 1957 | 42.88700 | 28998543 | 676.2854 |
| ietna | Asia | 1962 | 45.36300 | 33796140 | 772.0492 |
| ietna | Asia | 1967 | 47.83800 | 39463910 | 637.1233 |
| ietna | Asia | 1972 | 50.25400 | 44655014 | 699.5016 |
| ietna | Asia | 1977 | 55.76400 | 50533506 | 713.5371 |
| ietna | Asia | 1982 | 58.81600 | 56142181 | 707.2358 |
| ietna | Asia | 1987 | 62.82000 | 62826491 | 820.7994 |
| ietna | Asia | 1992 | 67.66200 | 69940728 | 989.0231 |
| ietna | Asia | 1997 | 70.67200 | 76048996 | 1385.8968 |
| ietna | Asia | 2002 | 73.01700 | 80908147 | 1764.4567 |
| ietna | Asia | 2007 | 74.24900 | 85262356 | 2441.5764 |
| est Bank and Gaz | Asia | 1952 | 43.16000 | 1030585 | 1515.5923 |
| est Bank and Gaz | Asia | 1957 | 45.67100 | 1070439 | 1827.0677 |
| est Bank and Gaz | Asia | 1962 | 48.12700 | 1133134 | 2198.9563 |
| est Bank and Gaz | Asia | 1967 | 51.63100 | 1142636 | 2649.7150 |
| est Bank and Gaz | Asia | 1972 | 56.53200 | 1089572 | 3133.4093 |
| est Bank and Gaz | Asia | 1977 | 60.76500 | 1261091 | 3682.8315 |
| est Bank and Gaz | Asia | 1982 | 64.40600 | 1425876 | 4336.0321 |
| est Bank and Gaz | Asia | 1987 | 67.04600 | 1691210 | 5107.1974 |
| est Bank and Gaz | Asia | 1992 | 69.71800 | 2104779 | 6017.6548 |
| est Bank and Gaz | Asia | 1997 | 71.09600 | 2826046 | 7110.6676 |
| est Bank and Gaz | Asia | 2002 | 72.37000 | 3389578 | 4515.4876 |
| est Bank and Gaz | Asia | 2007 | 73.42200 | 4018332 | 3025.3498 |
| emen, Rep | Asia | 1952 | 32.54800 | 4963829 | 781.7176 |
| emen, Rep | Asia | 1957 | 33.97000 | 5498090 | 804.8305 |
| emen, Rep | Asia | 1962 | 35.18000 | 6120081 | 825.6232 |
| emen, Rep | Asia | 1967 | 36.98400 | 6740785 | 862.4421 |
| emen, Rep | Asia | 1972 | 39.84800 | 7407075 | 1265.0470 |
| emen, Rep | Asia | 1977 | 44.17500 | 8403990 | 1829.7652 |
| emen, Rep | Asia | 1982 | 49.11300 | 9657618 | 1977.5570 |
| emen, Rep | Asia | 1987 | 52.92200 | 11219340 | 1971.7415 |
| emen, Rep | Asia | 1992 | 55.59900 | 13367997 | 1879.4967 |
| emen, Rep | Asia | 1997 | 58.02000 | 15826497 | 2117.4845 |
| emen, Rep | Asia | 2002 | 60.30800 | 18701257 | 2234.8208 |
| emen, Rep | Asia | 2007 | 62.69800 | 22211743 | 2280.7699 |
| ambi | Africa | 1952 | 42.03800 | 2672000 | 1147.3888 |
| ambi | Africa | 1957 | 44.07700 | 3016000 | 1311.9568 |
| ambi | Africa | 1962 | 46.02300 | 3421000 | 1452.7258 |
| ambi | Africa | 1967 | 47.76800 | 3900000 | 1777.0773 |
| ambi | Africa | 1972 | 50.10700 | 4506497 | 1773.4983 |
| ambi | Africa | 1977 | 51.38600 | 5216550 | 1588.6883 |
| ambi | Africa | 1982 | 51.82100 | 6100407 | 1408.6786 |
| ambi | Africa | 1987 | 50.82100 | 7272406 | 1213.3151 |
| ambi | Africa | 1992 | 46.10000 | 8381163 | 1210.8846 |
| ambi | Africa | 1997 | 40.23800 | 9417789 | 1071.3538 |
| ambi | Africa | 2002 | 39.19300 | 10595811 | 1071.6139 |
| ambi | Africa | 2007 | 42.38400 | 11746035 | 1271.2116 |
| imbabw | Africa | 1952 | 48.45100 | 3080907 | 406.8841 |
| imbabw | Africa | 1957 | 50.46900 | 3646340 | 518.7643 |
| imbabw | Africa | 1962 | 52.35800 | 4277736 | 527.2722 |
| imbabw | Africa | 1967 | 53.99500 | 4995432 | 569.7951 |
| imbabw | Africa | 1972 | 55.63500 | 5861135 | 799.3622 |
| imbabw | Africa | 1977 | 57.67400 | 6642107 | 685.5877 |
| imbabw | Africa | 1982 | 60.36300 | 7636524 | 788.8550 |
| imbabw | Africa | 1987 | 62.35100 | 9216418 | 706.1573 |
| imbabw | Africa | 1992 | 60.37700 | 10704340 | 693.4208 |
| imbabw | Africa | 1997 | 46.80900 | 11404948 | 792.4500 |
| imbabw | Africa | 2002 | 39.98900 | 11926563 | 672.0386 |
| imbabw | Africa | 2007 | 43.48700 | 12311143 | 469.7093 |
Changing modes: numbers, text and categories (1/2)
Sometimes you have text and you want numbers; sometimes, it’s the opposite.
as.character(1:6) # From number to text
## [1] "1" "2" "3" "4" "5" "6"
as.numeric(c("4.1", "2", "13")) # From text to number,
## [1] 4.1 2.0 13.0
If you need to replace characters, use
str_replace_all(c("4,2", "5,6"), ",", ".") # Then pipe %>% as.numeric()
## [1] "4.2" "5.6"
Changing modes: numbers, text and categories (2/2)
But be careful:
as.numeric("a") # From test to number: FAIL
## [1] NA
Sometimes you have text and you want factors.
as.factor(c("small", "medium", "large", "large", "small")) # From text to category
## [1] small medium large large small ## Levels: large medium small
List of categorical values with levels()
When faced with a categorical variable, you may want to get the list of categories!
levels(diamonds$cut) # List of values: ORDERED!
## [1] "Fair" "Good" "Very Good" "Premium" "Ideal"
levels(gapminder$continent) # List of values: UNORDERED => alphabetical layout
## [1] "Africa" "Americas" "Asia" "Europe" "Oceania"
To get the number of categories:
nlevels(gapminder$country) # Number of categories in the data
## [1] 142
Handling order in categorical data (1/2)
When you get raw data, categorical values are (almost) never ordered.
Use with factors only!!!
levels(clothes$size) # Not a categorical variable!
## NULL
clothes <- clothes %>% mutate(size = as.factor(size)) # This is equivalent: clothes$size <- as.factor(clothes$size) levels(clothes$size) # Now a categorical variable!
## [1] "Large" "Medium" "Small"
Handling order in categorical data (2/2)
When you get raw data, categorical values are (almost) never ordered.
You can use the recode_factor() to force an ordering.
clothes <- clothes %>%
mutate(size = size %>% recode_factor(Small = "Little",
Medium = "Medium",
Large = "Big",
.ordered = TRUE)
)
clothes$size # Now an ordered categorical variable!
## [1] Big Little Medium Big Little Medium Big Little Medium Big ## [11] Little Medium ## Levels: Little < Medium < Big
Check!
| type | size | Price |
|---|---|---|
| Shirt | Big | 15 |
| Trousers | Little | 59 |
| Skirt | Medium | 35 |
| Underwear | Big | 10 |
| Shirt | Little | 17 |
| Trousers | Medium | 89 |
| Skirt | Big | 48 |
| Underwear | Little | 12 |
| Shirt | Medium | 10 |
| Trousers | Big | 49 |
| Skirt | Little | 29 |
| Underwear | Medium | 9 |
In RStudio, this gives:
Logical operators: OR
AND, OR, ≠, etc. exist in R! This is useful in filters for instance.
Below, we use OR, which is obtained with the vertical line |:
diamonds %>% filter(cut == "Good" | cut == "Very Good") %>% head(4) # OR
| carat | cut | color | clarity | depth | table | price | x | y | z |
|---|---|---|---|---|---|---|---|---|---|
| 0.23 | Good | E | VS1 | 56.9 | 65 | 327 | 4.05 | 4.07 | 2.31 |
| 0.31 | Good | J | SI2 | 63.3 | 58 | 335 | 4.34 | 4.35 | 2.75 |
| 0.24 | Very Good | J | VVS2 | 62.8 | 57 | 336 | 3.94 | 3.96 | 2.48 |
| 0.24 | Very Good | I | VVS1 | 62.3 | 57 | 336 | 3.95 | 3.98 | 2.47 |
Logical operators: AND and ≠
diamonds %>% filter(cut == "Ideal" & clarity == "IF") %>% head(3) # AND
| carat | cut | color | clarity | depth | table | price | x | y | z |
|---|---|---|---|---|---|---|---|---|---|
| 0.52 | Ideal | F | IF | 62.2 | 55 | 2783 | 5.14 | 5.18 | 3.21 |
| 0.55 | Ideal | G | IF | 60.9 | 57 | 2789 | 5.28 | 5.30 | 3.22 |
| 0.64 | Ideal | G | IF | 61.3 | 56 | 2790 | 5.54 | 5.58 | 3.41 |
gapminder %>% filter(continent != "Asia") %>% head(3) # NOT EQUAL, the role of !: NOT
| country | continent | year | lifeExp | pop | gdpPercap |
|---|---|---|---|---|---|
| Albania | Europe | 1952 | 55.23 | 1282697 | 1601.056 |
| Albania | Europe | 1957 | 59.28 | 1476505 | 1942.284 |
| Albania | Europe | 1962 | 64.82 | 1728137 | 2312.889 |
Logical operators: %in%
This one is incredibly useful! It tests if values belong to a given set.
gapminder %>%
arrange(desc(year)) %>%
filter(country %in% c("France", "Germany"))
| country | continent | year | lifeExp | pop | gdpPercap |
|---|---|---|---|---|---|
| France | Europe | 2007 | 80.657 | 61083916 | 30470.017 |
| Germany | Europe | 2007 | 79.406 | 82400996 | 32170.374 |
| France | Europe | 2002 | 79.590 | 59925035 | 28926.032 |
| Germany | Europe | 2002 | 78.670 | 82350671 | 30035.802 |
| France | Europe | 1997 | 78.640 | 58623428 | 25889.785 |
| Germany | Europe | 1997 | 77.340 | 82011073 | 27788.884 |
| France | Europe | 1992 | 77.460 | 57374179 | 24703.796 |
| Germany | Europe | 1992 | 76.070 | 80597764 | 26505.303 |
| France | Europe | 1987 | 76.340 | 55630100 | 22066.442 |
| Germany | Europe | 1987 | 74.847 | 77718298 | 24639.186 |
| France | Europe | 1982 | 74.890 | 54433565 | 20293.897 |
| Germany | Europe | 1982 | 73.800 | 78335266 | 22031.533 |
| France | Europe | 1977 | 73.830 | 53165019 | 18292.635 |
| Germany | Europe | 1977 | 72.500 | 78160773 | 20512.921 |
| France | Europe | 1972 | 72.380 | 51732000 | 16107.192 |
| Germany | Europe | 1972 | 71.000 | 78717088 | 18016.180 |
| France | Europe | 1967 | 71.550 | 49569000 | 12999.918 |
| Germany | Europe | 1967 | 70.800 | 76368453 | 14745.626 |
| France | Europe | 1962 | 70.510 | 47124000 | 10560.486 |
| Germany | Europe | 1962 | 70.300 | 73739117 | 12902.463 |
| France | Europe | 1957 | 68.930 | 44310863 | 8662.835 |
| Germany | Europe | 1957 | 69.100 | 71019069 | 10187.827 |
| France | Europe | 1952 | 67.410 | 42459667 | 7029.809 |
| Germany | Europe | 1952 | 67.500 | 69145952 | 7144.114 |
Joining: the great left_join() function
table_1 <- tibble(brand = c("Porsche", "Volkswagen", "Tesla", "Ferrari"),
co2 = c("High", "Medium", "Low", "High"))
table_2 <- tibble(car = c("Tesla", "Porsche", "Volkswagen", "Bentley"),
country = c("US", "Germany", "Germany", "UK"))
table_1 %>% left_join(table_2, by = c("brand" = "car"))
| brand | co2 | country |
|---|---|---|
| Porsche | High | Germany |
| Volkswagen | Medium | Germany |
| Tesla | Low | US |
| Ferrari | High | NA |
One brand is missing in the second dataframe => NA!
Changing modes: dates
Sometimes you have numbers and you want dates.
library(lubridate) # Activate the package year <- 2015:2019 # Sample years month <- 1:5 # Sample months day <- 19:15 # Sample days dates <- make_date(year = year, month = month, day = day) # Create dates! dates # See the dates
## [1] "2015-01-19" "2016-02-18" "2017-03-17" "2018-04-16" "2019-05-15"
Sometimes, it’s the opposite! You can extract years, months, from dates:
month("2000-11-15") # Extract months (works also with year() and day())
## [1] 11
Formatting dates
Let’s say you import some dates, in format “23/04/2011”.
The correct R (ISO-8601) format would be “2011-04-23”, so we need to change it.
as.Date("23/04/2011", format = "%d/%m/%Y", origin = "1970-01-01")
## [1] "2011-04-23"
as.Date("07--26//11", format = "%m--%d//%y", origin = "1970-01-01")
## [1] "2011-07-26"
In the first line, day (d) and month (m) are in small cap, year (Y) is in large cap because it has 4 digits instead of 2.
You always need to specify the separator between the day, month and year.
Details are found here: https://www.stat.berkeley.edu/~s133/dates.html
Two final tips
Have a detailed look at https://stringr.tidyverse.org/reference/index.html
\(\rightarrow\) Choose wise column names: short & effective!
Also: no space in column names! THIS IS IMPORTANT & HELPFUL.
Data organization in spreadsheets! https://www.biostat.wisc.edu/~kbroman/publications/dataorg.pdf
Back to basics 3: dataset importation & exportation
The notebook’s folder
When working with notebooks: be sure everything is in the right folder!
That is: the folder of the notebook!
THE WORKING DIRECTORY !!!!!!!!!!!
If you run code from the console, you need to specify where you work.
Import via the files pane !!!
In case there is a problem
Via code
Setting the working directory or loading a file creates (or requires) one line of code:
setwd("~/Documents/Courses/Data Science/Session 2") # This is an example
movie_metadata <- read_csv("movie_metadata.csv") # Import CSV
load("movies.RData") # Load R file
When importing an R file (.RData), use load().
When importing another type of file (csv, xls, xlsx), use a dedicated function (e.g., read_excel()).
Export
Several formats: RData (base R), csv, etc.
RData is highly compressed (much more than csv and xlsx).
save(dates, file = "dates.RData") # dates must be a variable in your environement!!! write.csv(dates, file = "dates.csv")
The first argument is the name of the variable in your environment.
The second argument is the name you want to see appear in your folder.
If you want to export xlsx files, there are several packages: openxlsx and writexl for instance. In the latter, use the write_excel() function.
Simple functions
Simple math functions
sequence <- 1:23 # Creates a "sequence" variable/vector mean(sequence) # Computes the mean, sd(sequence) for the standard deviation
## [1] 12
cor(diamonds$carat, diamonds$price) # Computes the correlation
## [1] 0.9215913
max(sequence) # Computes the maximum
## [1] 23
sqrt(sequence) # Computes the square root of all numbers (works also for sequence^2)
## [1] 1.000000 1.414214 1.732051 2.000000 2.236068 2.449490 2.645751 2.828427 ## [9] 3.000000 3.162278 3.316625 3.464102 3.605551 3.741657 3.872983 4.000000 ## [17] 4.123106 4.242641 4.358899 4.472136 4.582576 4.690416 4.795832
Functions with missing data
x <- c(1,2,3, NA) mean(x) # Includes the NA in the sum
## [1] NA
mean(x, na.rm = T) # Omits the NA!
## [1] 2
This is super useful in pivot tables => use it in summarize() !
Misc. functions (1/3)
round(4.3423) # Rounds
## [1] 4
round(5.342126873, 3) # Rounds up to 3 digits
## [1] 5.342
length(sequence) # Gives the length of a vector
## [1] 23
nrow(diamonds) # Number of rows; exists also in columns: ncol(); see dim()
## [1] 53940
Misc. functions (2/3)
n() counts the number of instances in dplyr (ex: in mutate() or summarize() for pivot tables).
diamonds %>% group_by(cut) %>% summarise(nb_diamonds = n()) # see also count()
| cut | nb_diamonds |
|---|---|
| Fair | 1610 |
| Good | 4906 |
| Very Good | 12082 |
| Premium | 13791 |
| Ideal | 21551 |
Do not use n() outside dplyr!
Misc. functions (3/3)
summary() for quick snapshots! Don’t confuse with summarize()!
summary(gapminder)
## country continent year lifeExp ## Afghanistan: 12 Africa :624 Min. :1952 Min. :23.60 ## Albania : 12 Americas:300 1st Qu.:1966 1st Qu.:48.20 ## Algeria : 12 Asia :396 Median :1980 Median :60.71 ## Angola : 12 Europe :360 Mean :1980 Mean :59.47 ## Argentina : 12 Oceania : 24 3rd Qu.:1993 3rd Qu.:70.85 ## Australia : 12 Max. :2007 Max. :82.60 ## (Other) :1632 ## pop gdpPercap ## Min. :6.001e+04 Min. : 241.2 ## 1st Qu.:2.794e+06 1st Qu.: 1202.1 ## Median :7.024e+06 Median : 3531.8 ## Mean :2.960e+07 Mean : 7215.3 ## 3rd Qu.:1.959e+07 3rd Qu.: 9325.5 ## Max. :1.319e+09 Max. :113523.1 ##
Remove missing data
na.omit() removes instances with missing data.
clothes[2,2] <- NA clothes %>% head(3)
| type | size | Price |
|---|---|---|
| Shirt | Big | 15 |
| Trousers | NA | 59 |
| Skirt | Medium | 35 |
clothes %>% na.omit()
| type | size | Price |
|---|---|---|
| Shirt | Big | 15 |
| Skirt | Medium | 35 |
| Underwear | Big | 10 |
Be careful: sometimes removing all missing data is too stringent!
Missing data: resources
Amazing tutorial & slides:
https://allisonhorst.shinyapps.io/missingexplorer/
Or some slides
Visualizing missing points:
http://juliejosse.com/wp-content/uploads/2018/06/DataAnalysisMissingR.html
Official list of packages:
https://cran.r-project.org/web/views/MissingData.html
Create categories from numbers!
This is a tip :)
Use thresholds!
diamonds %>% mutate(big = carat > 1) %>% select(-x, -y, -z) %>% tail(4)
| carat | cut | color | clarity | depth | table | price | big |
|---|---|---|---|---|---|---|---|
| 0.72 | Good | D | SI1 | 63.1 | 55 | 2757 | FALSE |
| 0.70 | Very Good | D | SI1 | 62.8 | 60 | 2757 | FALSE |
| 0.86 | Premium | H | SI2 | 61.0 | 58 | 2757 | FALSE |
| 0.75 | Ideal | D | SI2 | 62.2 | 55 | 2757 | FALSE |
Create categories from numbers: application
diamonds %>%
mutate(size = if_else(carat > 1.5,
"Big",
if_else(carat < 0.8, "Small", "Medium"))) %>%
group_by(size) %>%
summarize(nb = n(),
avg_size = mean(carat) %>% round(1),
avg_cost = mean(price) %>% round())
| size | nb | avg_size | avg_cost |
|---|---|---|---|
| Big | 5442 | 1.8 | 12582 |
| Medium | 17371 | 1.1 | 5802 |
| Small | 31127 | 0.5 | 1378 |
Extensions for more than 2 classes can be built with if_else() or the function quantcut() from the gtools package.
And remember:
There are often several ways to achieve one given task!
Two new datasets & exercises!
Songs: preview
load("songs.RData")
head(songs, 13)
| song_name | artist | album | duration | popularity | danceability | energy | loudness | speechiness | tempo | valence |
|---|---|---|---|---|---|---|---|---|---|---|
| Boulevard of Broken Dreams | Green Day | Greatest Hits: God’s Favorite Band | 262 | 73 | 0.496 | 0.682 | -4.095 | 0.0294 | 167 | 0.474 |
| In The End | Linkin Park | Hybrid Theory | 217 | 66 | 0.542 | 0.853 | -6.407 | 0.0498 | 105 | 0.370 |
| Seven Nation Army | The White Stripes | Elephant | 232 | 76 | 0.737 | 0.463 | -7.828 | 0.0792 | 124 | 0.324 |
| By The Way | Red Hot Chili Peppers | By The Way (Deluxe Version) | 217 | 74 | 0.451 | 0.970 | -4.938 | 0.1070 | 122 | 0.198 |
| How You Remind Me | Nickelback | Silver Side Up | 224 | 56 | 0.447 | 0.766 | -5.065 | 0.0313 | 172 | 0.574 |
| Bring Me To Life | Evanescence | Fallen | 236 | 80 | 0.316 | 0.945 | -3.169 | 0.1240 | 190 | 0.320 |
| Last Resort | Papa Roach | Infest | 200 | 81 | 0.581 | 0.887 | -3.659 | 0.0624 | 91 | 0.724 |
| Are You Gonna Be My Girl | Jet | Get Born | 214 | 76 | 0.613 | 0.953 | -3.435 | 0.0855 | 105 | 0.537 |
| Mr. Brightside | The Killers | Hot Fuss | 223 | 80 | 0.330 | 0.936 | -3.660 | 0.0917 | 148 | 0.234 |
| Sex on Fire | Kings of Leon | Only By The Night | 203 | 81 | 0.542 | 0.905 | -5.653 | 0.0540 | 153 | 0.374 |
| The Middle | Jimmy Eat World | Bleed American (Deluxe Edition) | 168 | 78 | 0.629 | 0.897 | -3.401 | 0.0483 | 162 | 0.930 |
| Numb | Linkin Park | Meteora | 186 | 63 | 0.496 | 0.863 | -4.153 | 0.0381 | 110 | 0.243 |
| Smooth Criminal | Alien Ant Farm | Anthology | 209 | 75 | 0.647 | 0.964 | -4.225 | 0.0600 | 127 | 0.875 |
Songs: variable definition
- duration: in seconds
- popularity: function of how often the song is played (from 0 to 100)
- danceability: is the track suitable for dancing (from 0 to 1)
- energy: measure of intensity and activity (from 0 to 1)
- loudness: average loudness in decibels (dB) (from -60 to 0)
- speechiness: presence of spoken words (from 0 to 1)
- tempo: average tempo estimated in beats per minute (from 0 to 250)
- valence: mood of the song, from 0=sad to 1=happy
Movies
load("movies.RData")
movies %>%
select(-actor_2, -actor_3) %>%
head(9)
| title | director | actor_1 | year | color | duration | language | country | rating | nb_voters | likes | budget | earnings | imdb_score |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Avatar | James Cameron | CCH Pounder | 2009 | Color | 178 | English | USA | PG-13 | 886204 | 4834 | 237000 | 760505.8 | 7.9 |
| Pirates of the Caribbean: At World’s End | Gore Verbinski | Johnny Depp | 2007 | Color | 169 | English | USA | PG-13 | 471220 | 48350 | 300000 | 309404.2 | 7.1 |
| Spectre | Sam Mendes | Christoph Waltz | 2015 | Color | 148 | English | UK | PG-13 | 275868 | 11700 | 245000 | 200074.2 | 6.8 |
| The Dark Knight Rises | Christopher Nolan | Tom Hardy | 2012 | Color | 164 | English | USA | PG-13 | 1144337 | 106759 | 250000 | 448130.6 | 8.5 |
| John Carter | Andrew Stanton | Daryl Sabara | 2012 | Color | 132 | English | USA | PG-13 | 212204 | 1873 | 263700 | 73058.7 | 6.6 |
| Spider-Man 3 | Sam Raimi | J.K. Simmons | 2007 | Color | 156 | English | USA | PG-13 | 383056 | 46055 | 258000 | 336530.3 | 6.2 |
| Tangled | Nathan Greno | Brad Garrett | 2010 | Color | 100 | English | USA | PG | 294810 | 2036 | 260000 | 200807.3 | 7.8 |
| Avengers: Age of Ultron | Joss Whedon | Chris Hemsworth | 2015 | Color | 141 | English | USA | PG-13 | 462669 | 92000 | 250000 | 458991.6 | 7.5 |
| Harry Potter and the Half-Blood Prince | David Yates | Alan Rickman | 2009 | Color | 153 | English | UK | PG | 321795 | 58753 | 250000 | 301957.0 | 7.5 |
Movies: variable definition
- color: color or black and white
- rating: content rating (PG, PG-13, R)
- likes: total number of likes from cast’s facebook pages
- nb_voters: number of people who voted on IMDB
- earnings: profit (in K$, like the budget)