A short survey

Who has already found his/her dataset? (remember, the project! 😉)
Who even looked?

REMEMBER: you need to start working early. 🤓

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
##   [157] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [169] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
##   [181] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE
##   [193] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
##   [205] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [217] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
##   [229] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
##   [241] FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
##   [253] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [265] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
##   [277] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
##   [289] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [301] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
##   [313] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE
##   [325] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
##   [337] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [349] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [361]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [373] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE
##   [385] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [397] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
##   [409] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [421] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
##   [433] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [445] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [457] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
##   [469] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
##   [481] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [493] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
##   [505]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
##   [517] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [529]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
##   [541] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [553] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [565] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [577] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [589] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [601] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [613] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [625] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [637] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [649] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE
##   [661] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
##   [673] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
##   [685] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
##   [697] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
##   [709] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [721] FALSE FALSE FALSE  TRUE  TRUE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE
##   [733] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [745] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
##   [757] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [769] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [781] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [793] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
##   [805] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [817] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [829] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [841] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [853] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE
##   [865] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
##   [877] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
##   [889] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [901] FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE
##   [913] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [925] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
##   [937] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [949]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
##   [961] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
##   [973] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [985] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##   [997] FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
##  [1009] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1021] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1033] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE
##  [1045] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
##  [1057] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1069] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
##  [1081] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
##  [1093]  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1105] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1117] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1129]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1141] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1153] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1165]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1177] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1189] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
##  [1201] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1213] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
##  [1225] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
##  [1237] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
##  [1249] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1261] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1273] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1285] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
##  [1297] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1309] FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
##  [1321] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
##  [1333]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1345] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
##  [1357] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1369] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1381] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1393] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1405] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1417] FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
##  [1429] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE
##  [1441] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1453] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
##  [1465] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1477] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
##  [1489] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
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## [10525] FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
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## [11965] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [11977] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [12145] FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [12769] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [13105] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [13273] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE
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## [13297] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [13321] FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [13333] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [13489] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [13525] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
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## [13681] FALSE FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [13693] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE  TRUE FALSE
## [13705]  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13717] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
## [13729] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13741] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE
## [13753] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [13765] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [13789] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [13837] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE
## [13849] FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13861] FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [13873] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13885] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [13897] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13909] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13921] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
## [13933] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [13957] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [13969] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
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## [13993] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14005] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE  TRUE  TRUE FALSE
## [14017]  TRUE  TRUE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [14029] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [14041] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14053] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE
## [14065] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE
## [14077] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14089] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14101] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [14149] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
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## [14185] FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
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## [14221] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE
## [14233] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE
## [14245] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14257] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14269] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14281] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE
## [14293] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14305] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14317] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14329] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14341] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [14353] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14365]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [14377] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14389]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE
## [14401]  TRUE  TRUE FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE FALSE
## [14413] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14425]  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14437]  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14449] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
## [14461] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14473] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14485] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14497] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [14509] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [14521] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14533] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE
## [14545] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14557] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14569] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14581] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14593] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [14605] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [14617]  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14629]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14641] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [14653] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14665] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE
## [14677]  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14689] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [14701] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [14713] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE
## [14725] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14737] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14749] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14761] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [14773] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [14797] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14809] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14821] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14833] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
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## [14857]  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE
## [14869] FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [14881] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14893] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14905]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [14917] FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE
## [14929] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [14941] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [14953] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
## [14965] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE  TRUE
## [14977] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE
## [14989] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [15037] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [15049] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [15061] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [15073] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15085] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE
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## [15109] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15121] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [15133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15145] FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [15157] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15169] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [15193] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15205] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15217] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE
## [15229] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15241] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [15253] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [15265] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15277] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15289] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15301] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15313] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [15325] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [15337] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE
## [15349] FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [15361] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [18385] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [18817] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [19033] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
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## [19069]  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [19093] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [19129]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19141] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [19153] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [19177]  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19189] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [19201] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [19213] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
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## [19273] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [19285] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE
## [19297] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [19309] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19321] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19333] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [19345] FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
## [19357]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
## [19369]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE  TRUE
## [19381] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19393] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19405] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19417] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [19429] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19441] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE
## [19453] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE
## [19465] FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [19477] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19489] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19501] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [19525] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
## [19537] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [19549] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19561] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19573] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE
## [19585] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19597]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19609] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19621] FALSE FALSE  TRUE FALSE  TRUE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE
## [19633] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19645]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19657] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE
## [19669] FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [19681] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19693] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19705] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [19741] FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [19753] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19765] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19777] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19789] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19801] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [19813] FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE
## [19825] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19837] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [19861] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19873] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [19885] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE
## [19897] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19909] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE
## [19921] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19933] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19945] FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19957] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [19969] FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [19981] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [19993] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20005] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [20017] FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [20029] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [20041] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20053] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [20065] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [20077] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [20089] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20101] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [20113] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20125] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20137] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20149] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20161] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [20173] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20185] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20197] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [20209] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [20221] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [23293] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [23557] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [23809] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [23881] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [24013] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [24037] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
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## [24061] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24073] FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
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## [24097] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [24109] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24121]  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [24157] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [24205] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24217] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [24229] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [24253] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [24265]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24277] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24289] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [24301]  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE
## [24313] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [24325] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [24361] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24373] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [24385]  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24397] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24409] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [24421] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [24433] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [24445] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24457] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24469] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24481] FALSE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [24493] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [24505] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24517]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24529] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [24541] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [24577] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [24625] FALSE FALSE FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE
## [24637] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [24649] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24661] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
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## [24685] FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE
## [24697] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24709] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24721] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
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## [24745] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [24757] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24769] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [24781] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [24793] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [24805] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24817] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24829] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [24841]  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24853] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [24865] FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [24877] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE
## [24889] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24901] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
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## [24961] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [24973] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24985] FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [24997] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25009] FALSE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [25021] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25033] FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [25045] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25057] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [25069] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [25081] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [25093] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25105] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE
## [25117] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [25129] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [26317] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [26545]  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE
## [26557] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [26569] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [26797] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [27001] FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [27169] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE
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## [27205] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [27229] FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [27541] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [27589] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [27673]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [27697] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE
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## [27781] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [27817] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [27829] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [27841]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [27853] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE
## [27865] FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE
## [27877] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [27889] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE
## [27901]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [27913] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [27925] FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE
## [27937] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [27949] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [27961] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [27973] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [28033] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE
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## [28165] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [28177] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [28189] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28201] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [28213] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28225] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28237] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28249] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28261] FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE
## [28273] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [28285] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28297] FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [28309] FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [28321] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28333] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [28345] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28357] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
## [28369] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28381] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28393]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [28405] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [28417]  TRUE  TRUE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28429] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28441] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28453] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [28477] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [28489] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [28513] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28525] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28537] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [28549] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28561] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [28573] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28585] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28597] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28609] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE  TRUE FALSE
## [28621] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28633] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [28645] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28657] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28669] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28681] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE
## [28693] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [28705] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [28717] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28729] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28741] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28753] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28765] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28777] FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [28789]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28801] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE
## [28813] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [28825] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28837] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28849] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28861] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [28873] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE
## [28885] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28897]  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [28909]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE
## [28921] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE
## [28933] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE
## [28945]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
## [28957]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [28969] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [28981] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE
## [28993] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [29005] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29017] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29029] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE  TRUE
## [29041] FALSE  TRUE FALSE  TRUE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE
## [29053] FALSE  TRUE FALSE  TRUE FALSE  TRUE  TRUE  TRUE FALSE  TRUE FALSE  TRUE
## [29065]  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29077] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29089] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29101] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29113] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
## [29125] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29137] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29149] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29161] FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [29173] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29185] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29197] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [29209]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29221] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29233] FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE
## [29245] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29257] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29269] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29281] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29293] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29305] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29317] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29329] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [29341] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29353] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29365] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29377] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29389] FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE
## [29401] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29413] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29425] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [29437] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29449] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29461] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29473] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29485] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29497] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29509] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29521] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29533] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29545]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29557] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE  TRUE FALSE  TRUE
## [29569] FALSE  TRUE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [29581] FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [29593]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29605] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29617] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE  TRUE  TRUE
## [29629] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [29641] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29653] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29665] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29677] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29689] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [29701] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [29713]  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE
## [29725] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE
## [29737] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29749] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29761] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29773] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [29785] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29797] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29809]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29821] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29833] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29845] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29857] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29869] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29881] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29893] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29905] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29917] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [29929] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [29941] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29953] FALSE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [29965] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29977] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [29989] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [30001] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [30013] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE
## [30025] FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE  TRUE FALSE FALSE  TRUE
## [30037] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE
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## [32941] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [33277] FALSE  TRUE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE
## [33289] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE
## [33301]  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE
## [33313] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [33325] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
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## [33349] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE
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## [33601] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [33709] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [33805] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [33817] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [33889] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [33901] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [33913] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
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## [33937] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [33949] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [33961] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [33973] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE
## [33985] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [33997] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34009] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
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## [34189] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34201] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34213] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
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## [34237] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34249] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34261] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34273] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [34285] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [34297] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [34309] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34321] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34333] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34345] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34357] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34369] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34381] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34393] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [34489] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34501]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34513] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34525] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34537] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [34549] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34561] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [34573] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34585] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34597] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34609] FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [34621] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34633] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34645] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34657] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34669] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
## [34681] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34693] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [34705] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34717] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34729] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34741] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34753] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34765] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34777] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34789] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE
## [34801] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34813] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34825] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34837] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34849] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE
## [34861] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34873]  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [34885] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34897] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34909] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34921] FALSE FALSE FALSE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE  TRUE FALSE FALSE
## [34933]  TRUE FALSE  TRUE FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE
## [34945]  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34957] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34969] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE  TRUE
## [34981] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [34993] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [36637] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE
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## [37189] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [37237] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [37321] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [37777] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [37801] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [37825] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37837] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [37921] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE
## [37933] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37945]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37957] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37969] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [37981] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [37993] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38005] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE
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## [38029] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38041] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38053] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [38065] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [38089] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [38149] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38161] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [38185] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38197]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38209] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38221] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [38233] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [38257] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [38269] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38281] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38293] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [38305] FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [38317] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38329] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38341] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38353] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38365] FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [38377] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38389] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38401] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38413] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38425] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38437] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38449] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [38461] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38473] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [38497] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [38509] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [38521] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38533] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38545] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [38557] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38569] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38581] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38593] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38605] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38617] FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE  TRUE  TRUE
## [38629] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38641] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38653] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38665] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [38677] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [38689] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38701] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38713] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [38725] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [38761] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38773] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38785] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38797] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38809] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38821]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38833] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38845] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38857] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38869] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38881] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [38893] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38905] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [38917] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [38929] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38941] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE
## [38953]  TRUE  TRUE FALSE  TRUE  TRUE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE
## [38965] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38977] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [38989] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39001] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39013] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39025] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39037] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [39049] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [39061] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
## [39073] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39085]  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [39097] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39109] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39121] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39145] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39157] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [39169] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39181] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39193] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [39205] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39217] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39229] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39241] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39253] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39265] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE
## [39277] FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39289] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39301] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39313] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [39325] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [39337] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [39349] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39361] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39373] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39385] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [39397] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39409] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39421] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39433] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39445] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE
## [39457] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39469] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39481] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39493] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39505] FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39517] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39529] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39541] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39553] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39565] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39577] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [39589] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39601] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39613] FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE
## [39625] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [39637] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39649] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39661] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39673] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39685] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [39697]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [39709] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE
## [39721] FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39733] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [39745] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39757] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39769] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39781] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39793] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39805] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39817] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39829] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39841]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39853] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39865] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39877] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39889] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39901] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39913] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39925] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [39937] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE  TRUE  TRUE
## [39949]  TRUE  TRUE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE  TRUE FALSE
## [39961]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [39973]  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
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## [41809] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [41953] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [42025] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE  TRUE FALSE
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## [42049] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [42061] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [42169] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [42229] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE
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## [42277] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
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## [42589] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [42709] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
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## [42889] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [42901]  TRUE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [42913] FALSE FALSE  TRUE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE
## [42925]  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [42937] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [42949] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [42961] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
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## [42985] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [42997] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [43033] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [43069] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
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## [43105] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43117]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43129] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE  TRUE
## [43141] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43153] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43165] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43177]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43189] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE
## [43201]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [43213] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [43225] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43237] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43249] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [43261] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [43273] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [43285] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43297] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43309] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [43321] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [43333] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [43345]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE  TRUE
## [43357] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [43369] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [43381] FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE
## [43393] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43405] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [43429] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [43441]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [43453]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43465] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
## [43477] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43489] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE
## [43501] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [43513] FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [43525] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [43537] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [43549] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [43561]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43573] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43585] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43597] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE FALSE
## [43609] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [43621] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43633] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE
## [43645]  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43657] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [43669] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [43681] FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE  TRUE  TRUE FALSE FALSE  TRUE
## [43693] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE FALSE FALSE FALSE  TRUE
## [43705] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [43717] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43729] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43741] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43753] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43765] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43777]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43789] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [43801] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [43813] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE
## [43825] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43837] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43849]  TRUE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43861] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43873] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43885] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43897] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43909] FALSE FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [43921] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43933] FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE FALSE
## [43945] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE
## [43957] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE
## [43969] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [43981] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [43993] FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE  TRUE  TRUE  TRUE  TRUE
## [44005] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44017] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44029] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44041] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE
## [44053] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44065] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44077] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [44089] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44101]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44113] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44125] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [44137] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44149] FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE
## [44161] FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE
## [44173] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44185] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44197] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [44209] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44221] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44233] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44245] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [44257] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [44269] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [44281] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44293] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44305] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44317] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [44329]  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44341] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44353] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44365] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44377] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [44389] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44401] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44413] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44425] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [44437]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44449] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [44461] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [44473] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [44485] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44497] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44509] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44521] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [44533] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44545] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [44557]  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE
## [44569] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [44581] FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [44593] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44605] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44617] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44629] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44641] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44653]  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [44665] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44677] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [44689] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [44701]  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44713] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [44725] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44737] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [44749] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44761] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44773] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44785] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44797] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44809] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [44821] FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE
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## [46681] FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [46717]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [46753] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [46825] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [47281] FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE  TRUE  TRUE
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## [47305] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [47473] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE
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## [47497] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE
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## [47605] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [47653] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
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## [47833] FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [47869] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [47881] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [47893] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
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## [47989] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
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## [48121] FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [48133] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
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## [48157] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [48169] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48181] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE
## [48193] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48205] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48217] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48229] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [48241] FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [48253] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [48265] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48277] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [48301] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48313] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48325] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [48337] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48349] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48361] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48373] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE
## [48385] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [48397] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE
## [48409] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48421] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48433] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48445] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48457] FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [48469] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE
## [48481] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48493] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48505] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48517] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48529] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48541] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE
## [48553] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48565] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48577] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48589] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [48601] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48613] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [48625] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE
## [48637] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [48649] FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE
## [48661] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48673] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48685] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [48697] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE
## [48709] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48721] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48733] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
## [48745]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE
## [48757] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [48769] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE
## [48781] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48793] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48805] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [48817] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE
## [48829]  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48841] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48853]  TRUE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE  TRUE
## [48865] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [48877] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [48889] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48901] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48913] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48925] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48937] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48949] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [48961] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48973] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [48985] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE
## [48997] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49009] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49021] FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [49033] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [49045] FALSE  TRUE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49057] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE
## [49069] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [49081] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [49093]  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [49105] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE
## [49117] FALSE FALSE FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [49129] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49141] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [49153] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49165] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [49177]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49189] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [49201] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [49213] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE
## [49225] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [49237] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE
## [49249] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [49261] FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49273] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [49285] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49297] FALSE FALSE  TRUE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49309] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [49321] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [49333] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE
## [49345] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49357] FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE
## [49369] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE
## [49381]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49393] FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49405] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49417] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49429] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE
## [49441] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49453] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49465] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49477] FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE  TRUE FALSE FALSE  TRUE FALSE
## [49489]  TRUE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49501] FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE FALSE  TRUE  TRUE
## [49513] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49525] FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE
## [49537]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE
## [49549] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE
## [49561] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE
## [49573] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49585] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49597] FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE  TRUE FALSE FALSE
## [49609] FALSE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE  TRUE  TRUE
## [49621] FALSE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49633] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE FALSE
## [49645] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE  TRUE  TRUE FALSE FALSE
## [49657] FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49669] FALSE  TRUE FALSE  TRUE  TRUE FALSE FALSE FALSE FALSE  TRUE FALSE FALSE
## [49681] FALSE FALSE  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
## [49693]  TRUE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE FALSE
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## [53701] FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE FALSE FALSE  TRUE FALSE
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## [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

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

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:

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)

Your turn!