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regional_map.py
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"""
This file contains the function that calculates the regional count.
Author: Yinuo Zhao
Data: Nov 18, 2023
Disclaimer: this file is for the purpose of the 2023 CANIS Hackathon only.
"""
import pandas as pd
from load_data import load_data
def main():
"""
"""
Anglosphere = ["UK", "USA", "Canada", "Australia", "New Zealand"]
UAE = ["Abu Dhabi", "Ajman", "Dubai", "Fujairah", "Ras Al Khaimah", "Sharjah", "Umm Al Quwain"]
EU = ["Austria", "Belgium", "Bulgaria", "Croatia", "Cyprus", "Czech Republic", "Denmark",
"Estonia", "Finland", "France", "Germany", "Greece", "Hungary", "Ireland", "Italy", "Latvia", "Lithuania",
"Luxembourg", "Malta", "Netherlands", "Poland", "Portugal", "Romania", "Slovakia", "Slovenia", "Spain", "Sweden"]
la_Francophonie = [
"Belgium",
"Benin",
"Burkina Faso",
"Burundi",
"Cambodia",
"Cameroon",
"Canada",
"Central African Republic",
"Chad",
"Comoros",
"Congo",
"Côte d'Ivoire",
"Djibouti",
"Dominica",
"Egypt",
"Equatorial Guinea",
"France",
"Gabon",
"Guinea",
"Haiti",
"Laos",
"Lebanon",
"Luxembourg",
"Madagascar",
"Mali",
"Mauritania",
"Mauritius",
"Monaco",
"Morocco",
"Niger",
"Rwanda",
"Saint Lucia",
"Sao Tome and Principe",
"Senegal",
"Seychelles",
"Switzerland",
"Togo",
"Tunisia",
"Vanuatu",
"Vietnam"
]
asean_countries = [
"Brunei",
"Cambodia",
"Indonesia",
"Laos",
"Malaysia",
"Myanmar",
"Philippines",
"Singapore",
"Thailand",
"Vietnam"
]
un_member_states = [
"Afghanistan",
"Albania",
"Algeria",
"Andorra",
"Angola",
"Antigua and Barbuda",
"Argentina",
"Armenia",
"Australia",
"Austria",
"Azerbaijan",
"Bahamas",
"Bahrain",
"Bangladesh",
"Barbados",
"Belarus",
"Belgium",
"Belize",
"Benin",
"Bhutan",
"Bolivia",
"Bosnia and Herzegovina",
"Botswana",
"Brazil",
"Brunei",
"Bulgaria",
"Burkina Faso",
"Burundi",
"Cabo Verde",
"Cambodia",
"Cameroon",
"Canada",
"Central African Republic",
"Chad",
"Chile",
"China",
"Colombia",
"Comoros",
"Congo (Brazzaville)",
"Congo (Kinshasa)",
"Costa Rica",
"Croatia",
"Cuba",
"Cyprus",
"Czech Republic",
"Denmark",
"Djibouti",
"Dominica",
"Dominican Republic",
"East Timor",
"Ecuador",
"Egypt",
"El Salvador",
"Equatorial Guinea",
"Eritrea",
"Estonia",
"Eswatini",
"Ethiopia",
"Fiji",
"Finland",
"France",
"Gabon",
"Gambia",
"Georgia",
"Germany",
"Ghana",
"Greece",
"Grenada",
"Guatemala",
"Guinea",
"Guinea-Bissau",
"Guyana",
"Haiti",
"Honduras",
"Hungary",
"Iceland",
"India",
"Indonesia",
"Iran",
"Iraq",
"Ireland",
"Israel",
"Italy",
"Ivory Coast",
"Jamaica",
"Japan",
"Jordan",
"Kazakhstan",
"Kenya",
"Kiribati",
"Korea, North",
"Korea, South",
"Kosovo",
"Kuwait",
"Kyrgyzstan",
"Laos",
"Latvia",
"Lebanon",
"Lesotho",
"Liberia",
"Libya",
"Liechtenstein",
"Lithuania",
"Luxembourg",
"Macedonia",
"Madagascar",
"Malawi",
"Malaysia",
"Maldives",
"Mali",
"Malta",
"Marshall Islands",
"Mauritania",
"Mauritius",
"Mexico",
"Micronesia",
"Moldova",
"Monaco",
"Mongolia",
"Montenegro",
"Morocco",
"Mozambique",
"Myanmar (Burma)",
"Namibia",
"Nauru",
"Nepal",
"Netherlands",
"New Zealand",
"Nicaragua",
"Niger",
"Nigeria",
"North Macedonia",
"Norway",
"Oman",
"Pakistan",
"Palau",
"Palestine State",
"Panama",
"Papua New Guinea",
"Paraguay",
"Peru",
"Philippines",
"Poland",
"Portugal",
"Qatar",
"Romania",
"Russia",
"Rwanda",
"Saint Kitts and Nevis",
"Saint Lucia",
"Saint Vincent and the Grenadines",
"Samoa",
"San Marino",
"Sao Tome and Principe",
"Saudi Arabia",
"Senegal",
"Serbia",
"Seychelles",
"Sierra Leone",
"Singapore",
"Slovakia",
"Slovenia",
"Solomon Islands",
"Somalia",
"South Africa",
"South Sudan",
"Spain",
"Sri Lanka",
"Sudan",
"Suriname",
"Sweden",
"Switzerland",
"Syria",
"Taiwan",
"Tajikistan",
"Tanzania",
"Thailand",
"Togo",
"Tonga",
"Trinidad and Tobago",
"Tunisia",
"Turkey",
"Turkmenistan",
"Tuvalu",
"Uganda",
"Ukraine",
"United Arab Emirates",
"United Kingdom",
"United States of America",
"Uruguay",
"Uzbekistan",
"Vanuatu",
"Vatican City",
"Venezuela",
"Vietnam",
"Yemen",
"Zambia",
"Zimbabwe"
]
lusophone_countries = [
"Angola",
"Brazil",
"Cape Verde",
"East Timor",
"Equatorial Guinea",
"Guinea-Bissau",
"Mozambique",
"Portugal",
"São Tomé and Príncipe"
]
east_african_community_countries = [
"Burundi",
"Kenya",
"Rwanda",
"South Sudan",
"Tanzania",
"Uganda"
]
mena_countries = [
"Algeria",
"Bahrain",
"Djibouti",
"Egypt",
"Iran",
"Iraq",
"Israel",
"Jordan",
"Kuwait",
"Lebanon",
"Libya",
"Mauritania",
"Morocco",
"Oman",
"Palestine",
"Qatar",
"Saudi Arabia",
"Sudan",
"Syria",
"Tunisia",
"United Arab Emirates",
"Yemen"
]
hispanophone_countries = [
"Argentina",
"Bolivia",
"Chile",
"Colombia",
"Costa Rica",
"Cuba",
"Dominican Republic",
"Ecuador",
"El Salvador",
"Equatorial Guinea",
"Guatemala",
"Honduras",
"Mexico",
"Nicaragua",
"Panama",
"Paraguay",
"Peru",
"Spain",
"Uruguay",
"Venezuela"
]
df = load_data()
value_counts = df['Region of Focus'].value_counts()
print(value_counts)
if __name__ == "__main__":
main()