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# Output when running this script: | |
# ICSE 2019 attendees per million capita: | |
# 1. Luxembourg, 15, 25.126 | |
# 2. Canada, 330, 8.852 | |
# 3. Sweden, 41, 4.078 | |
# 4. Ireland, 16, 3.301 | |
# 5. Switzerland, 27, 3.137 | |
# 6. Singapore, 17, 2.897 | |
# 7. Norway, 15, 2.777 | |
# 8. Netherlands, 32, 1.868 | |
# 9. Belgium, 19, 1.643 | |
# 10. USA, 491, 1.492 | |
# 11. Germany, 107, 1.298 | |
# 12. Korea, 64, 1.247 | |
# 13. Australia, 30, 1.196 | |
# 14. UK, 73, 1.09 | |
# 15. Italy, 47, 0.794 | |
# 16. Spain, 22, 0.474 | |
# 17. Japan, 60, 0.473 | |
# 18. France, 27, 0.412 | |
# 19. Brazil, 79, 0.372 | |
# 20. China, 111, 0.078 | |
# 21. India, 26, 0.019 | |
# Based on PC chairs slide presented at ICSE19 opening May 29th 2019: | |
ICSE19Participants = Dict( | |
"USA" => 491, | |
"Canada" => 330, | |
"China" => 111, | |
"Germany" => 107, | |
"Brazil" => 79, | |
"UK" => 73, | |
"Korea" => 64, | |
"Japan" => 60, | |
"Italy" => 47, | |
"Sweden" => 41, | |
"Netherlands" => 32, | |
"Australia" => 30, | |
"France" => 27, | |
"Switzerland" => 27, | |
"India" => 26, | |
"Spain" => 22, | |
"Belgium" => 19, | |
"Singapore" => 17, | |
"Ireland" => 16, | |
"Luxembourg" => 15, | |
"Norway" => 15 | |
) | |
# Taken 2019-05-30 from https://www.worldometers.info/world-population/population-by-country/ | |
CountryInhabitants = Dict( | |
"USA" => 329093110, | |
"Canada" => 37279811, | |
"China" => 1420062022, | |
"Germany" => 82438639, | |
"Brazil" => 212392717, | |
"UK" => 66959016, | |
"Korea" => 51339238, | |
"Japan" => 126854745, | |
"Italy" => 59216525, | |
"Sweden" => 10053135, | |
"Netherlands" => 17132908, | |
"Australia" => 25088636, | |
"France" => 65480710, | |
"Switzerland" => 8608259, | |
"India" => 1368737513, | |
"Spain" => 46441049, | |
"Belgium" => 11562784, | |
"Singapore" => 5868104, | |
"Ireland" => 4847139, | |
"Luxembourg" => 596992, | |
"Norway" => 5400916 | |
) | |
ICSE19AttendeesPerMCapita = [] | |
for (country, n) in ICSE19Participants | |
push!(ICSE19AttendeesPerMCapita, (country, 1e6*n/CountryInhabitants[country])) | |
end | |
sort!(ICSE19AttendeesPerMCapita, by = t -> t[2], rev = true) | |
println("ICSE 2019 attendees per million capita:") | |
for i in eachindex(ICSE19AttendeesPerMCapita) | |
country, apc = ICSE19AttendeesPerMCapita[i] | |
na = ICSE19Participants[country] | |
println("$(i). $(country), $(na), $(round(apc, digits = 3))") | |
end |
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Thanks, fixed.