Fluent Essays

The minimum requirement for the project is to show a consequential relationship between at least two variables, or specific types/categories of data, the possibilities for which are indefinite (for example, this could include number of hospital beds to air pollution to foreign direct investments within China and/or between China and other countries, at the city-, provincial-/state- or national-levels). Data used can be over time or during a single year. There are many options for which data sources you use. We have discussed in class sources of data for climate change governance (http://visuals.datadrivenlab.org/climateaction/), and other students have brought up trade indices and so forth pertinent to the course material. You can use any of these alone, in combination with the EPS China database, or just the EPS China database. There are no limits for where you source quantitative data. These are just suggestions. The EPS China Data (Links to an external site.)database is a great place to start because its one of the most advanced databases on Chinese statistics of its kind. I provide here instructions on how to use it, please read. FYI: Many students are living off-campus which requires a VPN to access. Of note, a statistical analysis is not required for this project. What is required, however, is a thoughtful look at data you think is interesting, an explanation of what you think it tells us about the current domestic and/or international situation of China, and that of its future. Connect it to some topic discussed in class. What does the data say about economic interdependence with other countries? What other countries is China investing in, where does most of Chinas foreign investment come from, and what does this mean for its relationship with those countries? How much is China polluting, how much coal is being used, and what does this say for climate governance? Text analysis of no less than 1,000 words is required, and visualizations are also required. Theres no particular limit to the number of visualizations you can include. There are also no specific topics you are required to tackle, but you can receive full credit if you meet the above guidelines final_paper_format_template.docx covid19_cases.xlsx covid19_deaths.xlsx us_china_barometer2019__1_.pdf Unformatted Attachment Preview Paper title Student Name UCI ID Course Introduction • • Research question Background – what is it and why am I looking at this? Data • • Data sources: Where did you get the data? Variables: What data variables (e.g., investments, cultural exchanges, etc.) are you looking at? How do these answer your research question? Results/Analysis • • • Data visualization – chart, graph, table, etc. What the data says How the data answers your research question Province/State Country/Region Lat Long ######## ######## ######## ######## ######## Afghanistan 33 65 0 0 0 0 0 Albania 41.1533 20.1683 0 0 0 0 0 Algeria 28.0339 1.6596 0 0 0 0 0 Andorra 42.5063 1.5218 0 0 0 0 0 Angola -11.2027 17.8739 0 0 0 0 0 Antigua and Barbuda 17.0608 -61.7964 0 0 0 0 0 Argentina -38.4161 -63.6167 0 0 0 0 0 Armenia 40.0691 45.0382 0 0 0 0 0 Australian Capital Australia Territory -35.4735 149.0124 0 0 0 0 0 New South Australia Wales -33.8688 151.2093 0 0 0 0 3 Northern Territory Australia -12.4634 130.8456 0 0 0 0 0 QueenslandAustralia -28.0167 153.4 0 0 0 0 0 South Australia Australia -34.9285 138.6007 0 0 0 0 0 Tasmania Australia -41.4545 145.9707 0 0 0 0 0 Victoria Australia -37.8136 144.9631 0 0 0 0 1 Western Australia Australia -31.9505 115.8605 0 0 0 0 0 Austria 47.5162 14.5501 0 0 0 0 0 Azerbaijan 40.1431 47.5769 0 0 0 0 0 Bahamas 25.0343 -77.3963 0 0 0 0 0 Bahrain 26.0275 50.55 0 0 0 0 0 Bangladesh 23.685 90.3563 0 0 0 0 0 Barbados 13.1939 -59.5432 0 0 0 0 0 Belarus 53.7098 27.9534 0 0 0 0 0 Belgium 50.8333 4 0 0 0 0 0 Benin 9.3077 2.3158 0 0 0 0 0 Bhutan 27.5142 90.4336 0 0 0 0 0 Bolivia -16.2902 -63.5887 0 0 0 0 0 Bosnia and Herzegovina 43.9159 17.6791 0 0 0 0 0 Brazil -14.235 -51.9253 0 0 0 0 0 Brunei 4.5353 114.7277 0 0 0 0 0 Bulgaria 42.7339 25.4858 0 0 0 0 0 Burkina Faso 12.2383 -1.5616 0 0 0 0 0 Cabo Verde 16.5388 -23.0418 0 0 0 0 0 Cambodia 11.55 104.9167 0 0 0 0 0 Cameroon 3.848 11.5021 0 0 0 0 0 Alberta Canada 53.9333 -116.577 0 0 0 0 0 British Columbia Canada 49.2827 -123.121 0 0 0 0 0 Grand Princess Canada 37.6489 -122.666 0 0 0 0 0 Manitoba Canada 53.7609 -98.8139 0 0 0 0 0 New Brunswick Canada 46.5653 -66.4619 0 0 0 0 0 Newfoundland Canada and Labrador 53.1355 -57.6604 0 0 0 0 0 Nova ScotiaCanada 44.682 -63.7443 0 0 0 0 0 Ontario Canada 51.2538 -85.3232 0 0 0 0 1 Prince Edward Canada Island 46.5107 -63.4168 0 0 0 0 0 Quebec Canada 52.9399 -73.5491 0 0 0 0 0 Saskatchewan Canada 52.9399 -106.451 0 0 0 0 0 Central African 6.6111 Republic 20.9394 Chad 15.4542 18.7322 Chile -35.6751 -71.543 Anhui China 31.8257 117.2264 Beijing China 40.1824 116.4142 Chongqing China 30.0572 107.874 Fujian China 26.0789 117.9874 Gansu China 37.8099 101.0583 GuangdongChina 23.3417 113.4244 Guangxi China 23.8298 108.7881 Guizhou China 26.8154 106.8748 Hainan China 19.1959 109.7453 Hebei China 39.549 116.1306 HeilongjiangChina 47.862 127.7615 Henan China 33.882 113.614 Hong Kong China 22.3 114.2 Hubei China 30.9756 112.2707 Hunan China 27.6104 111.7088 Inner Mongolia China 44.0935 113.9448 Jiangsu China 32.9711 119.455 Jiangxi China 27.614 115.7221 Jilin China 43.6661 126.1923 Liaoning China 41.2956 122.6085 Macau China 22.1667 113.55 Ningxia China 37.2692 106.1655 Qinghai China 35.7452 95.9956 Shaanxi China 35.1917 108.8701 Shandong China 36.3427 118.1498 Shanghai China 31.202 121.4491 Shanxi China 37.5777 112.2922 Sichuan China 30.6171 102.7103 Tianjin China 39.3054 117.323 Tibet China 31.6927 88.0924 Xinjiang China 41.1129 85.2401 Yunnan China 24.974 101.487 Zhejiang China 29.1832 120.0934 Colombia 4.5709 -74.2973 Congo (Brazzaville) -4.0383 21.7587 Congo (Kinshasa) -4.0383 21.7587 Costa Rica 9.7489 -83.7534 Cote dIvoire 7.54 -5.5471 Croatia 45.1 15.2 Diamond Princess 0 0 Cuba 22 -80 Cyprus 35.1264 33.4299 Czechia 49.8175 15.473 Faroe Islands Denmark 61.8926 -6.9118 0 0 0 1 14 6 1 0 26 2 1 4 1 0 5 0 444 4 0 1 2 0 2 1 1 0 0 2 9 1 5 4 0 0 1 10 0 0 0 0 0 0 0 0 0 0 0 0 0 0 9 22 9 5 2 32 5 3 5 1 2 5 2 444 9 0 5 7 1 3 2 1 0 3 6 16 1 8 4 0 2 2 27 0 0 0 0 0 0 0 0 0 0 0 0 0 0 15 36 27 10 2 53 23 3 8 2 4 9 2 549 24 1 9 18 3 4 2 2 0 5 15 20 1 15 8 0 2 5 43 0 0 0 0 0 0 0 0 0 0 0 0 0 0 39 41 57 18 4 78 23 4 19 8 9 32 5 761 43 7 18 18 4 17 2 3 1 15 27 33 6 28 10 0 3 11 62 0 0 0 0 0 0 0 0 0 0 0 0 0 0 60 68 75 35 7 111 36 5 22 13 15 83 8 1058 69 7 33 36 4 21 5 4 1 22 46 40 9 44 14 0 4 16 104 0 0 0 0 0 0 0 0 0 0 0 Greenland Denmark 71.7069 -42.6043 Denmark 56.2639 9.5018 Djibouti 11.8251 42.5903 Dominican Republic 18.7357 -70.1627 Ecuador -1.8312 -78.1834 Egypt 26 30 El Salvador 13.7942 -88.8965 Equatorial Guinea 1.5 10 Eritrea 15.1794 39.7823 Estonia 58.5953 25.0136 Eswatini -26.5225 31.4659 Ethiopia 9.145 40.4897 Fiji -17.7134 178.065 Finland 64 26 French Guiana France 3.9339 -53.1258 French Polynesia France -17.6797 149.4068 GuadeloupeFrance 16.25 -61.5833 Mayotte France -12.8275 45.1662 New Caledonia France -20.9043 165.618 Reunion France -21.1351 55.2471 Saint Barthelemy France 17.9 -62.8333 St Martin France 18.0708 -63.0501 Martinique France 14.6415 -61.0242 France 46.2276 2.2137 Gabon -0.8037 11.6094 Gambia 13.4432 -15.3101 Georgia 42.3154 43.3569 Germany 51 9 Ghana 7.9465 -1.0232 Greece 39.0742 21.8243 Guatemala 15.7835 -90.2308 Guinea 9.9456 -9.6966 Guyana 5 -58.75 Haiti 18.9712 -72.2852 Holy See 41.9029 12.4534 Honduras 15.2 -86.2419 Hungary 47.1625 19.5033 Iceland 64.9631 -19.0208 India 21 78 Indonesia -0.7893 113.9213 Iran 32 53 Iraq 33 44 Ireland 53.1424 -7.6921 Israel 31 35 Italy 43 12 Jamaica 18.1096 -77.2975 Japan 36 138 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 Jordan 31.24 36.51 Kazakhstan 48.0196 66.9237 Kenya -0.0236 37.9062 Korea, South 36 128 Kuwait 29.5 47.75 Kyrgyzstan 41.2044 74.7661 Latvia 56.8796 24.6032 Lebanon 33.8547 35.8623 Liberia 6.4281 -9.4295 Liechtenstein 47.14 9.55 Lithuania 55.1694 23.8813 Luxembourg 49.8153 6.1296 Madagascar -18.7669 46.8691 Malaysia 2.5 112.5 Maldives 3.2028 73.2207 Malta 35.9375 14.3754 Mauritania 21.0079 10.9408 Mauritius -20.2 57.5 Mexico 23.6345 -102.553 Moldova 47.4116 28.3699 Monaco 43.7333 7.4167 Mongolia 46.8625 103.8467 Montenegro 42.5 19.3 Morocco 31.7917 -7.0926 Namibia -22.9576 18.4904 Nepal 28.1667 84.25 Aruba Netherlands 12.5186 -70.0358 Curacao Netherlands 12.1696 -68.99 Sint Maarten Netherlands 18.0425 -63.0548 Netherlands 52.1326 5.2913 New Zealand-40.9006 174.886 Nicaragua 12.8654 -85.2072 Niger 17.6078 8.0817 Nigeria 9.082 8.6753 North Macedonia 41.6086 21.7453 Norway 60.472 8.4689 Oman 21 57 Pakistan 30.3753 69.3451 Panama 8.538 -80.7821 Papua New Guinea -6.315 143.9555 Paraguay -23.4425 -58.4438 Peru -9.19 -75.0152 Philippines 13 122 Poland 51.9194 19.1451 Portugal 39.3999 -8.2245 Qatar 25.3548 51.1839 Romania 45.9432 24.9668 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 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-64.7505 Cayman Islands United Kingdom 19.3133 -81.2546 Channel Islands United Kingdom 49.3723 -2.3644 Gibraltar United Kingdom 36.1408 -5.3536 Isle of Man United Kingdom 54.2361 -4.5481 MontserratUnited Kingdom 16.7425 -62.1874 United Kingdom 55.3781 -3.436 Uruguay -32.5228 -55.7658 US 37.0902 -95.7129 Uzbekistan 41.3775 64.5853 Venezuela 6.4238 -66.5897 Vietnam 16 108 Zambia -15.4167 28.2833 Zimbabwe -20 30 Diamond Princess Canada 0 0 Dominica 15.415 -61.371 Grenada 12.1165 -61.679 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 1 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 3 0 5 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 3 0 7 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 4 0 8 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 5 0 0 2 0 0 0 0 0 Mozambique-18.6657 Syria 34.80208 Timor-Leste -8.87422 Belize 13.1939 Recovered Canada 0 Laos 19.85627 Libya 26.3351 West Bank and31.9522 Gaza Guinea-Bissau11.8037 Mali 17.57069 Saint Kitts and 17.35782 Nevis Northwest Territories Canada 64.8255 Yukon Canada 64.2823 Kosovo 42.60264 Burma 21.9162 Anguilla United Kingdom 18.2206 British Virgin United Islands Kingdom 18.4207 Turks and Caicos UnitedIslands Kingdom21.694 MS Zaandam 0 Botswana -22.3285 Burundi -3.3731 Sierra Leone 8.460555 Bonaire, SintNetherlands Eustatius and12.1784 Saba Malawi -13.2543 Falkland Islands United (Malvinas) Kingdom -51.7963 Saint PierreFrance and Miquelon46.8852 South Sudan 6.877 Western Sahara 24.2155 Sao Tome and0.18636 Principe Yemen 15.55273 Comoros -11.6455 Tajikistan 38.86103 35.52956 38.99682 125.7275 -59.5432 0 102.4955 17.22833 35.2332 -15.1804 -3.99617 -62.783 -124.846 -135 20.90298 95.956 -63.0686 -64.64 -71.7979 0 24.6849 29.9189 -11.7799 -68.2385 34.30153 -59.5236 -56.3159 31.307 -12.8858 6.613081 48.51639 43.3333 71.27609 0 0 0 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