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World gdp growth rates by region
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Country | Continent | random | randomC | |
---|---|---|---|---|
Algeria | AFRICA | 60.6167300016224 | 61 | |
Angola | AFRICA | 71.5212095913241 | 72 | |
Benin | AFRICA | 51.7624535957612 | 52 | |
Botswana | AFRICA | 15.7730987774009 | 16 | |
Burkina | AFRICA | 43.4650351116097 | 44 | |
Burundi | AFRICA | 65.5623808542023 | 66 | |
Cameroon | AFRICA | 50.6499306806902 | 51 | |
Cape Verde | AFRICA | 13.4829147803843 | 14 | |
Central African Republic | AFRICA | 17.8374229865049 | 18 | |
Chad | AFRICA | 29.924381836669 | 30 | |
Comoros | AFRICA | 71.4692715596517 | 72 | |
Congo | AFRICA | 37.2450618758762 | 38 | |
Congo, Democratic Republic of | AFRICA | 7.82166481236349 | 8 | |
Djibouti | AFRICA | 72.2313116479816 | 73 | |
Egypt | AFRICA | 47.6374570093139 | 48 | |
Equatorial Guinea | AFRICA | 60.8276744520727 | 61 | |
Eritrea | AFRICA | 50.4594349319479 | 51 | |
Ethiopia | AFRICA | 20.4307033690226 | 21 | |
Gabon | AFRICA | 8.00888406164509 | 9 | |
Gambia | AFRICA | 96.1342705396023 | 97 | |
Ghana | AFRICA | 32.2011682222616 | 33 | |
Guinea | AFRICA | 63.0052737426284 | 64 | |
Guinea-Bissau | AFRICA | 65.6684702230086 | 66 | |
Ivory Coast | AFRICA | 89.0525038027716 | 90 | |
Kenya | AFRICA | 31.5108347528361 | 32 | |
Lesotho | AFRICA | 69.8298656158086 | 70 | |
Liberia | AFRICA | 54.0246444613355 | 55 | |
Libya | AFRICA | 29.3832670235385 | 30 | |
Madagascar | AFRICA | 17.6137309263152 | 18 | |
Malawi | AFRICA | 65.1967144592625 | 66 | |
Mali | AFRICA | 93.8250351534233 | 94 | |
Mauritania | AFRICA | 40.7110860184194 | 41 | |
Mauritius | AFRICA | 48.7838460294809 | 49 | |
Morocco | AFRICA | 90.5541180758008 | 91 | |
Mozambique | AFRICA | 61.0685656552458 | 62 | |
Namibia | AFRICA | 38.343361776327 | 39 | |
Niger | AFRICA | 16.4729179045592 | 17 | |
Nigeria | AFRICA | 87.2675694596433 | 88 | |
Rwanda | AFRICA | 13.166351009014 | 14 | |
Sao Tome and Principe | AFRICA | 90.0182837345859 | 91 | |
Senegal | AFRICA | 37.8485308501602 | 38 | |
Seychelles | AFRICA | 30.1871843891817 | 31 | |
Sierra Leone | AFRICA | 56.2564920047803 | 57 | |
Somalia | AFRICA | 93.6179765515136 | 94 | |
South Africa | AFRICA | 39.5096127001066 | 40 | |
South Sudan | AFRICA | 32.3402098734751 | 33 | |
Sudan | AFRICA | 11.7553759435875 | 12 | |
Swaziland | AFRICA | 80.4614919445087 | 81 | |
Tanzania | AFRICA | 89.5178679574181 | 90 | |
Togo | AFRICA | 51.6577608675679 | 52 | |
Tunisia | AFRICA | 38.8429571480379 | 39 | |
Uganda | AFRICA | 47.8952280291542 | 48 | |
Zambia | AFRICA | 63.2637659636957 | 64 | |
Zimbabwe | AFRICA | 52.1931520254656 | 53 | |
Afghanistan | ASIA | 41.7414112810643 | 42 | |
Bahrain | ASIA | 83.6420885996847 | 84 | |
Bangladesh | ASIA | 87.6928396619939 | 88 | |
Bhutan | ASIA | 30.987062267755 | 31 | |
Brunei | ASIA | 43.4605914527885 | 44 | |
Burma (Myanmar) | ASIA | 88.2075485875595 | 89 | |
Cambodia | ASIA | 96.7845379189223 | 97 | |
China | ASIA | 22.7542522156107 | 23 | |
East Timor | ASIA | 45.7987973935801 | 46 | |
India | ASIA | 9.84720142126543 | 10 | |
Indonesia | ASIA | 58.0493093489922 | 59 | |
Iran | ASIA | 90.7267139150375 | 91 | |
Iraq | ASIA | 10.2039458048294 | 11 | |
Israel | ASIA | 35.9870711615945 | 36 | |
Japan | ASIA | 65.3176734919355 | 66 | |
Jordan | ASIA | 25.0749728901542 | 26 | |
Kazakhstan | ASIA | 74.0064053552349 | 75 | |
Korea, North | ASIA | 59.517103824574 | 60 | |
Korea, South | ASIA | 19.7413560531922 | 20 | |
Kuwait | ASIA | 33.4960476397987 | 34 | |
Kyrgyzstan | ASIA | 42.3478822425574 | 43 | |
Laos | ASIA | 87.8939399370659 | 88 | |
Lebanon | ASIA | 41.4559002893637 | 42 | |
Malaysia | ASIA | 93.5890287289432 | 94 | |
Maldives | ASIA | 46.8233988327355 | 47 | |
Mongolia | ASIA | 97.3567298647253 | 98 | |
Nepal | ASIA | 27.3954135905726 | 28 | |
Oman | ASIA | 59.0593907938577 | 60 | |
Pakistan | ASIA | 16.5969613733266 | 17 | |
Philippines | ASIA | 53.3176095049627 | 54 | |
Qatar | ASIA | 93.4443941462758 | 94 | |
Russian Federation | ASIA | 81.7138557069442 | 82 | |
Saudi Arabia | ASIA | 36.9816802766212 | 37 | |
Singapore | ASIA | 71.5391144607582 | 72 | |
Sri Lanka | ASIA | 61.6743111793183 | 62 | |
Syria | ASIA | 82.8514062102289 | 83 | |
Tajikistan | ASIA | 94.6143650191239 | 95 | |
Thailand | ASIA | 76.0844294241207 | 77 | |
Turkey | ASIA | 50.3744302487417 | 51 | |
Turkmenistan | ASIA | 56.5736092757109 | 57 | |
United Arab Emirates | ASIA | 67.0892662215485 | 68 | |
Uzbekistan | ASIA | 88.5925292642167 | 89 | |
Vietnam | ASIA | 62.2442448607378 | 63 | |
Yemen | ASIA | 28.9261304666786 | 29 | |
Albania | EUROPE | 31.9302882764087 | 32 | |
Andorra | EUROPE | 37.1898947085438 | 38 | |
Armenia | EUROPE | 82.9464411489346 | 83 | |
Austria | EUROPE | 57.5670321627154 | 58 | |
Azerbaijan | EUROPE | 79.0320390507358 | 80 | |
Belarus | EUROPE | 33.8331616606583 | 34 | |
Belgium | EUROPE | 27.2297747146218 | 28 | |
Bosnia and Herzegovina | EUROPE | 77.2198908717871 | 78 | |
Bulgaria | EUROPE | 83.330001524536 | 84 | |
Croatia | EUROPE | 77.8402007886649 | 78 | |
Cyprus | EUROPE | 51.5746698243359 | 52 | |
Czech Republic | EUROPE | 23.8606214648663 | 24 | |
Denmark | EUROPE | 73.5277310112556 | 74 | |
Estonia | EUROPE | 89.2741188761241 | 90 | |
Finland | EUROPE | 54.1415688884643 | 55 | |
France | EUROPE | 52.9147553934293 | 53 | |
Georgia | EUROPE | 64.7581324731776 | 65 | |
Germany | EUROPE | 23.9368842488435 | 24 | |
Greece | EUROPE | 32.9503748810979 | 33 | |
Hungary | EUROPE | 43.427168739971 | 44 | |
Iceland | EUROPE | 14.778460045693 | 15 | |
Ireland | EUROPE | 85.885247386953 | 86 | |
Italy | EUROPE | 59.5685779807038 | 60 | |
Latvia | EUROPE | 66.5809003749686 | 67 | |
Liechtenstein | EUROPE | 41.5971142280833 | 42 | |
Lithuania | EUROPE | 44.0258020960584 | 45 | |
Luxembourg | EUROPE | 83.2929859819699 | 84 | |
Macedonia | EUROPE | 95.2839525632425 | 96 | |
Malta | EUROPE | 58.5818494018854 | 59 | |
Moldova | EUROPE | 87.1478886856595 | 88 | |
Monaco | EUROPE | 78.9060687252128 | 79 | |
Montenegro | EUROPE | 68.9755292911948 | 69 | |
Netherlands | EUROPE | 76.6603027744751 | 77 | |
Norway | EUROPE | 91.0854582162888 | 92 | |
Poland | EUROPE | 0.386688652785589 | 1 | |
Portugal | EUROPE | 21.1093754726772 | 22 | |
Romania | EUROPE | 20.2660331713941 | 21 | |
San Marino | EUROPE | 75.4150342304565 | 76 | |
Serbia | EUROPE | 40.9894042466659 | 41 | |
Slovakia | EUROPE | 50.597902950745 | 51 | |
Slovenia | EUROPE | 44.4856901562959 | 45 | |
Spain | EUROPE | 6.38430953895731 | 7 | |
Sweden | EUROPE | 93.1185369240532 | 94 | |
Switzerland | EUROPE | 69.9825604085906 | 70 | |
Ukraine | EUROPE | 0.307435944042224 | 1 | |
United Kingdom | EUROPE | 28.0060847527685 | 29 | |
Vatican City | EUROPE | 35.751487250501 | 36 | |
Antigua and Barbuda | N. AMERICA | 82.8037254708978 | 83 | |
Bahamas | N. AMERICA | 50.0405384610616 | 51 | |
Barbados | N. AMERICA | 89.2032630821603 | 90 | |
Belize | N. AMERICA | 51.6447017353713 | 52 | |
Canada | N. AMERICA | 75.1850164135689 | 76 | |
Costa Rica | N. AMERICA | 46.9799454317141 | 47 | |
Cuba | N. AMERICA | 49.7339578490649 | 50 | |
Dominica | N. AMERICA | 31.2100599563296 | 32 | |
Dominican Republic | N. AMERICA | 16.6057911750866 | 17 | |
El Salvador | N. AMERICA | 53.5968526207674 | 54 | |
Grenada | N. AMERICA | 76.2273582408734 | 77 | |
Guatemala | N. AMERICA | 66.4496748710394 | 67 | |
Haiti | N. AMERICA | 27.3331705195688 | 28 | |
Honduras | N. AMERICA | 12.1352682601282 | 13 | |
Jamaica | N. AMERICA | 61.0757445209222 | 62 | |
Mexico | N. AMERICA | 58.7025891350084 | 59 | |
Nicaragua | N. AMERICA | 57.0769113165023 | 58 | |
Panama | N. AMERICA | 75.6396109985276 | 76 | |
Saint Kitts and Nevis | N. AMERICA | 52.258197822752 | 53 | |
Saint Lucia | N. AMERICA | 38.2821943627656 | 39 | |
Saint Vincent and the Grenadines | N. AMERICA | 95.1443461241663 | 96 | |
Trinidad and Tobago | N. AMERICA | 10.2846177428616 | 11 | |
United States | N. AMERICA | 32.4440793935977 | 33 | |
Australia | OCEANIA | 27.1816429743819 | 28 | |
Fiji | OCEANIA | 75.6725124293908 | 76 | |
Kiribati | OCEANIA | 57.7189775158871 | 58 | |
Marshall Islands | OCEANIA | 77.437997315951 | 78 | |
Micronesia | OCEANIA | 52.3076053862099 | 53 | |
Nauru | OCEANIA | 35.9217477786092 | 36 | |
New Zealand | OCEANIA | 82.4372521083138 | 83 | |
Palau | OCEANIA | 20.8939721765936 | 21 | |
Papua New Guinea | OCEANIA | 97.8853262107647 | 98 | |
Samoa | OCEANIA | 12.6836792492572 | 13 | |
Solomon Islands | OCEANIA | 29.3566389933936 | 30 | |
Tonga | OCEANIA | 8.61883267529269 | 9 | |
Tuvalu | OCEANIA | 68.9900117795411 | 69 | |
Vanuatu | OCEANIA | 21.1025209925495 | 22 | |
Argentina | S. AMERICA | 82.9618984739205 | 83 | |
Bolivia | S. AMERICA | 15.9077221230356 | 16 | |
Brazil | S. AMERICA | 92.2751355693951 | 93 | |
Chile | S. AMERICA | 12.0016352639622 | 13 | |
Colombia | S. AMERICA | 35.2721144080479 | 36 | |
Ecuador | S. AMERICA | 73.0152115408201 | 74 | |
Guyana | S. AMERICA | 6.92037675353188 | 7 | |
Paraguay | S. AMERICA | 30.4515723473095 | 31 | |
Peru | S. AMERICA | 52.9516415910102 | 53 | |
Suriname | S. AMERICA | 51.2210352712741 | 52 | |
Uruguay | S. AMERICA | 5.02272509577985 | 6 | |
Venezuela | S. AMERICA | 28.7356946537238 | 29 |
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data <- read.csv("countriesGates.csv") | |
data$Country <- factor(data$Country, levels = data$Country) | |
#make a simple graph | |
ggplot(data, aes(x=Country, y=randomC, color=Continent,group = Continent)) + | |
geom_bar(stat="identity") | |
#more complicated picture | |
ggplot(data, aes(x=Country, y=randomC, color=Continent,group = Continent)) + | |
geom_bar(stat="identity") + coord_polar(theta = "x") | |
# | |
sequence_length = length(unique(small$Country)) | |
first_sequence = c(1:(sequence_length%/%2)) | |
second_sequence = c((sequence_length%/%2+1):sequence_length) | |
first_angles =c(90 - 180/length(first_sequence) * first_sequence) | |
second_angles = c(-90 - 180/length(second_sequence) * second_sequence) | |
p<-ggplot(small, aes(x=bothG, y=Growth.Rate.., fill=Continent,group = Continent)) + | |
geom_bar(stat="identity") + coord_polar()+ | |
theme(plot.caption = element_text(hjust=0.5,vjust=-0.5, size=rel(6)), | |
axis.text.y=element_blank(),axis.ticks=element_blank(), | |
axis.title.x=element_blank(), | |
axis.title.y=element_blank(),legend.position="none", | |
panel.background=element_blank(),panel.border=element_blank(),panel.grid.major=element_blank(), | |
panel.grid.minor=element_blank(),plot.background=element_blank(), | |
axis.text.x=element_text(angle= c(second_angles),size=15), | |
plot.margin=unit(c(1,1,1.5,1.2),"cm") | |
) | |
p <- p + | |
annotate("text", x = 18, y = 3.3, | |
label = "Africa", size=10, colour="red",alpha = .9) | |
p <- p + | |
annotate("text", x = 52, y = 3, | |
label = "Asia", size=10, colour="#ffdb58",alpha = .99) | |
p <- p + | |
annotate("text", x = 95, y = 3, | |
label = "Europe", size=10, colour="green",alpha = .9) | |
p <- p + | |
annotate("text", x = 105 | |
, y = 3, | |
label = "N. America", size=10, colour="#00CED1",alpha = .99) | |
p <- p + annotate("text", x = 120, y = 3, | |
label = "Oceania", size=10, colour="darkblue",alpha = .9) | |
p <- p + | |
annotate("text", x = 125, y = 3, | |
label = "S. America", size=10, colour="purple",alpha = .9) | |
p <- p + | |
scale_fill_manual(values = alpha(c("green", "red", "darkblue", "yellow","pink","purple"), .3),aesthetics = "colour") | |
#p<-p + ggtitle("Population Growth", size=12) | |
p <- p + labs(caption = "Population Growth Rate") | |
ggsave('GrowthMore4Mil.png', width=20, height=20) |
Author
cavedave
commented
Jan 22, 2020
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