Please answer question 4 please The language is Java and here is the Country class and csv file private String name private String code private String capitol private int happinessRank private double population private double GDP public Country(String name,String code,String capitol,double population,double gdp,int hr) this name name this code code this capitol capitol this population population GDP gdp happinessRank hr public String getCapitol() return capitol public void setCapitol(String capitol) this capitol capitol public double getPopulation() return population public void setPopulation(int population) this population population public int getHappinessRank() return happinessRank public void setHappinessRank(int happinessRank) this happinessRank happinessRank public String getName() return name public void setName(String name) this name name public String getCode() return code public void setCode(String code) this code code public double getGDP() return GDP public void setGDP(double gDP) GDP gDP Override public String toString() return name , code , capitol , population , GDP , happinessRank Override public int compareTo(Country arg0) if (this arg0) return 0 return this name compareTo(arg0 name) Country Name Country Code Capitol City Population GDP Happiness Rank South Korea KOR Seoul 51709098 2 24E 12 55 Hong Kong of China HKG Hong Kong 7451000 3 63E 11 71 Azerbaijan AZE Baku 9942334 4 694E 10 85 Thailand THA Bangkok 69428524 5 05E 11 32 Cyprus CYP Nicosia 1189265 2 447E 10 65 Saudi Arabia SAU Riyadh 33699947 7 82E 11 37 Malawi MWI Lilongwe 18143315 7064971176 136 Nigeria NGA Abuja 195874740 3 97E 11 95 Rwanda RWA Kigali 12301939 9509003197 151 Angola AGO Luanda 30809762 1 06E 11 140 Ivory Coast CIV Yamoussoukro 23740424 1 06E 11 128 Sweden SWE Stockholm 10183175 5 51E 11 9 Zambia ZMB Lusaka 17351822 2 672E 10 116 Benin BEN Porto Novo 11485048 1 0359E 10 143 Sri Lanka LKA Colombo 21670000 8 8901E 10 120 Lebanon LBN Beirut 6848925 5 6639E 10 88 Kyrgyz Republic KGZ Bishkek 6315800 8092836609 98 Iceland ISL Reykjavik 353574 2 5878E 10 3 Gabon GAB Libreville 2119275 1 7017E 10 118 Bangladesh BGD Dhaka 161356039 2 74E 11 110 Denmark DNK Copenhagen 5797446 3 51E 11 2 Kuwait KWT Kuwait City 4137309 1 42E 11 39 United Kingdom GBR London 66488991 2 83E 12 19 Chad TCD N'Djamena 15477751 1 1303E 10 137 Honduras HND Tegucigalpa 9587522 2 3803E 10 91 Israel ISR Jerusalem 8883800 3 70E 11 11 Qatar QAT Doha 2781677 1 92E 11 35 Egypt EGY Cairo 98423595 2 51E 11 104 Austria AUT Vienna 8847037 4 56E 11 13 Sierra Leone SLE Freetown 7650154 3999945202 106 Uganda UGA Kampala 42723139 2 7477E 10 133 Macedonia MKD Skopje 2103721 3 3822E 10 92 Mauritius MUS Port Louis 1265303 1 422E 10 64 Morocco MAR Rabat 36029138 1 18E 11 84 Vietnam VNM Hanoi 95540395 2 45E 11 94 Venezuela VEN Caracas 28870195 7 6458E 10 82 Zimbabwe ZWE Harare 14439018 3 1001E 10 138 Spain ESP Madrid 46723749 1 43E 12 34 Czech Republic CZE Prague 10625695 2 44E 11 23 Cambodia KHM Phnom Penh 16249798 2 4572E 10 129 Bolivia BOL Sucre 11353142 4 0288E 10 58 Russian Federation RUS Moscow 144478050 1 66E 12 49 Costa Rica CRI San Jose 4999441 6 0126E 10 12 Singapore SGP Singapur 5638676 3 64E 11 26 Montenegro MNE Podgorica 622345 5452173041 83 Somalia SOM Mogadishu 15008154 7484000000 93 Republic of the Congo COG Brazzaville 5244363 1 1264E 10 126 Belgium BEL Brussels 11422068 5 32E 11 17 Peru PER Lima 31989256 2 22E 11 63 Georgia GEO Tbilisi 3731000 1 621E 10 125 Slovenia SVN Ljubljana 2067372 5 4235E 10 62 Madagascar MDG Antananarivo 26262368 1 21E 10 144 United States USA Washington 327167434 2 05E 13 14 Romania ROU Bucharest 19473936 2 40E 11 57 Switzerland CHE Berne 8516543 7 06E 11 4 Turkey TUR Ankara 82319724 7 67E 11 69 Panama PAN Panama City 4176873 6 5055E 10 30 Uruguay URY Montevideo 3449299 5 9597E 10 28 Sudan SDN Khartoum 41801533 4 0852E 10 130 Central African Republic CAF Bangui 4666377 2379716827 155 Burkina Faso BFA Ouagadougou 19751535 1 4442E 10 134 South Sudan SSD Juba 10975920 1 8435E 10 147 Syrian Arab Republic SYR Damascus 16906283 5 028E 10 152 Greece GRC Athens 10727668 2 18E 11 87 Ghana GHA Accra 29767108 6 5556E 10 131 Germany DEU Berlin 82927922 4 00E 12 16 Indonesia IDN Jakarta 267663435 1 04E 12 81 South Africa ZAF Pretoria 57779622 3 66E 11 101 India IND New Delhi 1352617328 2 73E 12 122 Bhutan BTN Thimphu 754394 2534965163 97 Ukraine UKR Kiev 44622516 1 31E 11 132 Malaysia MYS Kuala Lumpur 31528585 3 54E 11 42 Brazil BRA Brasilia 209469333 1 87E 12 22 Chile CHL Santiago 18729160 2 98E 11 20 Croatia HRV Zagreb 4089400 6 0806E 10 77 Bosnia and Herzegovina BIH Sarajevo 3323929 1 9782E 10 90 Namibia NAM Windhoek 2606971 2 7505E 10 111 Nicaragua NIC Managua 6465513 1 3118E 10 43 Iran IRN Tehran 81800269 1 54E 12 108 Tajikistan TJK Dushanbe 9100837 7522947810 96 Portugal PRT Lisbon 10281762 2 38E 11 89 Guatemala GTM Guatemala City 17247807 7 846E 10 29 Dominican Republic DOM Santo Domingo 10627165 8 1299E 10 86 Afghanistan AFG Kabul 37172386 1 9363E 10 141 France FRA Paris 66987244 2 78E 12 31 Taiwan Province of China TWN Taipei 23577271 1 31E 12 33 Estonia EST Tallinn 1320884 3 0285E 10 66 China CHN Beijing 1392730000 1 36E 13 79 Latvia LVA Riga 1926542 3 4849E 10 54 North Cyprus CYP Nicosia 326000 3685000000 61 Algeria DZA Algiers 42228429 1 81E 11 53 Moldova MDA Chisinau 3545883 1 1309E 10 56 Belize BLZ Belmopan 408487 3343000000 50 Tanzania TZA Dodoma 56318348 5 7437E 10 153 Australia AUS Canberra 24992369 1 43E 12 10 Togo TGO Lome 7889094 5300214337 150 Kenya KEN Nairobi 51393010 8 7908E 10 112 Jordan JOR Amman 9956011 4 2291E 10 74 Uzbekistan UZB Tashkent 32955400 5 05E 10 47 Kazakhstan KAZ Astana 18276499 1 71E 11 60 Mali MLI Bamako 19077690 1 7197E 10 127 Ecuador ECU Quito 17084357 1 08E 11 44 Poland POL Warsaw 37978548 5 86E 11 46 Armenia ARM Yerevan 2951776 1 2433E 10 121 Libya LBY Tripolis 6678567 4 832E 10 68 Finland FIN Helsinki 5518050 2 76E 11 5 Lithuania LTU Vilnius 2789533 5 3251E 10 52 Bulgaria BGR Sofia 7024216 6 5133E 10 105 Bahrain BHR Manama 1569439 3 7746E 10 41 Botswana BWA Gaborone 2254126 1 8616E 10 142 Tunisia TUN Tunis 11565204 3 9861E 10 102 1 Reuse your Country class from Project 1 (correct it if necessary) 2 Create a class named Stack that will implement a stack of country objects using an array Support the following methods a Constructor that creates the stack array based on a size provided b A push method to push a country on the stack c A pop method to pop a country off the stack and return it d A printStack method to print the stack from top down to bottom of it e An isEmpty method that returns true if the stack is empty, false otherwise f An is Full method that returns true if the stack is full, false otherwise 3 Create a class named Priority that implements a priority queue of country objects using a sorted array, based on GDP per capita, the higher the GDP per capita, the higher the priority Support the following methods a Constructor that creates the stack array based on a size provided b An insert method to insert a country into the queue (This should be an O(N) method ) c A remove method to remove a country from the front of the queue and return it (This should be an O(1) method ) d A printQueue method to print the queue in priority order e An isEmpty method that returns true if the priority queue is empty, false otherwise f An is Full method that returns true if the priority queue is full, false otherwise 4 Create a class named Project2 that will a Let us define five groups of countries based on GDP per capita POOR countries as those with GDP per capita

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Please answer question #4 please. The language is Java and here is the Country class and .csv file. private String name; private String code; private

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Please answer question #4 please. The language is Java and here is the Country class and .csv file.

 private String name; private String code; private String capitol; private int happinessRank; private double population; private double GDP; public Country(String name,String code,String capitol,double population,double gdp,int hr) { this.name=name; this.code=code; this.capitol=capitol; this.population=population; GDP=gdp; happinessRank=hr; } public String getCapitol() { return capitol; } public void setCapitol(String capitol) { this.capitol = capitol; } public double getPopulation() { return population; } public void setPopulation(int population) { this.population = population; } public int getHappinessRank() { return happinessRank; } public void setHappinessRank(int happinessRank) { this.happinessRank = happinessRank; } public String getName() { return name; } public void setName(String name) { this.name = name; } public String getCode() { return code; } public void setCode(String code) { this.code = code; } public double getGDP() { return GDP; } public void setGDP(double gDP) { GDP = gDP; } @Override public String toString() { return name+","+code+","+capitol+","+population+","+GDP+","+happinessRank; } @Override public int compareTo(Country arg0) { if (this == arg0) return 0; return this.name.compareTo(arg0.name); } }

Country Name	Country Code	Capitol City	Population	GDP	Happiness Rank
South Korea	KOR	Seoul	51709098	2.24E+12	55
Hong Kong of China	HKG	Hong Kong	7451000	3.63E+11	71
Azerbaijan	AZE	Baku	9942334	4.694E+10	85
Thailand	THA	Bangkok	69428524	5.05E+11	32
Cyprus	CYP	Nicosia	1189265	2.447E+10	65
Saudi Arabia	SAU	Riyadh	33699947	7.82E+11	37
Malawi	MWI	Lilongwe	18143315	7064971176	136
Nigeria	NGA	Abuja	195874740	3.97E+11	95
Rwanda	RWA	Kigali	12301939	9509003197	151
Angola	AGO	Luanda	30809762	1.06E+11	140
Ivory Coast	CIV	Yamoussoukro	23740424	1.06E+11	128
Sweden	SWE	Stockholm	10183175	5.51E+11	9
Zambia	ZMB	Lusaka	17351822	2.672E+10	116
Benin	BEN	Porto-Novo	11485048	1.0359E+10	143
Sri Lanka	LKA	Colombo	21670000	8.8901E+10	120
Lebanon	LBN	Beirut	6848925	5.6639E+10	88
Kyrgyz Republic	KGZ	Bishkek	6315800	8092836609	98
Iceland	ISL	Reykjavik	353574	2.5878E+10	3
Gabon	GAB	Libreville	2119275	1.7017E+10	118
Bangladesh	BGD	Dhaka	161356039	2.74E+11	110
Denmark	DNK	Copenhagen	5797446	3.51E+11	2
Kuwait	KWT	Kuwait City	4137309	1.42E+11	39
United Kingdom	GBR	London	66488991	2.83E+12	19
Chad	TCD	N'Djamena	15477751	1.1303E+10	137
Honduras	HND	Tegucigalpa	9587522	2.3803E+10	91
Israel	ISR	Jerusalem	8883800	3.70E+11	11
Qatar	QAT	Doha	2781677	1.92E+11	35
Egypt	EGY	Cairo	98423595	2.51E+11	104
Austria	AUT	Vienna	8847037	4.56E+11	13
Sierra Leone	SLE	Freetown	7650154	3999945202	106
Uganda	UGA	Kampala	42723139	2.7477E+10	133
Macedonia	MKD	Skopje	2103721	3.3822E+10	92
Mauritius	MUS	Port Louis	1265303	1.422E+10	64
Morocco	MAR	Rabat	36029138	1.18E+11	84
Vietnam	VNM	Hanoi	95540395	2.45E+11	94
Venezuela	VEN	Caracas	28870195	7.6458E+10	82
Zimbabwe	ZWE	Harare	14439018	3.1001E+10	138
Spain	ESP	Madrid	46723749	1.43E+12	34
Czech Republic	CZE	Prague	10625695	2.44E+11	23
Cambodia	KHM	Phnom Penh	16249798	2.4572E+10	129
Bolivia	BOL	Sucre	11353142	4.0288E+10	58
Russian Federation	RUS	Moscow	144478050	1.66E+12	49
Costa Rica	CRI	San Jose	4999441	6.0126E+10	12
Singapore	SGP	Singapur	5638676	3.64E+11	26
Montenegro	MNE	Podgorica	622345	5452173041	83
Somalia	SOM	Mogadishu	15008154	7484000000	93
Republic of the Congo	COG	Brazzaville	5244363	1.1264E+10	126
Belgium	BEL	Brussels	11422068	5.32E+11	17
Peru	PER	Lima	31989256	2.22E+11	63
Georgia	GEO	Tbilisi	3731000	1.621E+10	125
Slovenia	SVN	Ljubljana	2067372	5.4235E+10	62
Madagascar	MDG	Antananarivo	26262368	1.21E+10	144
United States	USA	Washington	327167434	2.05E+13	14
Romania	ROU	Bucharest	19473936	2.40E+11	57
Switzerland	CHE	Berne	8516543	7.06E+11	4
Turkey	TUR	Ankara	82319724	7.67E+11	69
Panama	PAN	Panama City	4176873	6.5055E+10	30
Uruguay	URY	Montevideo	3449299	5.9597E+10	28
Sudan	SDN	Khartoum	41801533	4.0852E+10	130
Central African Republic	CAF	Bangui	4666377	2379716827	155
Burkina Faso	BFA	Ouagadougou	19751535	1.4442E+10	134
South Sudan	SSD	Juba	10975920	1.8435E+10	147
Syrian Arab Republic	SYR	Damascus	16906283	5.028E+10	152
Greece	GRC	Athens	10727668	2.18E+11	87
Ghana	GHA	Accra	29767108	6.5556E+10	131
Germany	DEU	Berlin	82927922	4.00E+12	16
Indonesia	IDN	Jakarta	267663435	1.04E+12	81
South Africa	ZAF	Pretoria	57779622	3.66E+11	101
India	IND	New Delhi	1352617328	2.73E+12	122
Bhutan	BTN	Thimphu	754394	2534965163	97
Ukraine	UKR	Kiev	44622516	1.31E+11	132
Malaysia	MYS	Kuala Lumpur	31528585	3.54E+11	42
Brazil	BRA	Brasilia	209469333	1.87E+12	22
Chile	CHL	Santiago	18729160	2.98E+11	20
Croatia	HRV	Zagreb	4089400	6.0806E+10	77
Bosnia and Herzegovina	BIH	Sarajevo	3323929	1.9782E+10	90
Namibia	NAM	Windhoek	2606971	2.7505E+10	111
Nicaragua	NIC	Managua	6465513	1.3118E+10	43
Iran	IRN	Tehran	81800269	1.54E+12	108
Tajikistan	TJK	Dushanbe	9100837	7522947810	96
Portugal	PRT	Lisbon	10281762	2.38E+11	89
Guatemala	GTM	Guatemala City	17247807	7.846E+10	29
Dominican Republic	DOM	Santo Domingo	10627165	8.1299E+10	86
Afghanistan	AFG	Kabul	37172386	1.9363E+10	141
France	FRA	Paris	66987244	2.78E+12	31
Taiwan Province of China	TWN	Taipei	23577271	1.31E+12	33
Estonia	EST	Tallinn	1320884	3.0285E+10	66
China	CHN	Beijing	1392730000	1.36E+13	79
Latvia	LVA	Riga	1926542	3.4849E+10	54
North Cyprus	CYP	Nicosia	326000	3685000000	61
Algeria	DZA	Algiers	42228429	1.81E+11	53
Moldova	MDA	Chisinau	3545883	1.1309E+10	56
Belize	BLZ	Belmopan	408487	3343000000	50
Tanzania	TZA	Dodoma	56318348	5.7437E+10	153
Australia	AUS	Canberra	24992369	1.43E+12	10
Togo	TGO	Lome	7889094	5300214337	150
Kenya	KEN	Nairobi	51393010	8.7908E+10	112
Jordan	JOR	Amman	9956011	4.2291E+10	74
Uzbekistan	UZB	Tashkent	32955400	5.05E+10	47
Kazakhstan	KAZ	Astana	18276499	1.71E+11	60
Mali	MLI	Bamako	19077690	1.7197E+10	127
Ecuador	ECU	Quito	17084357	1.08E+11	44
Poland	POL	Warsaw	37978548	5.86E+11	46
Armenia	ARM	Yerevan	2951776	1.2433E+10	121
Libya	LBY	Tripolis	6678567	4.832E+10	68
Finland	FIN	Helsinki	5518050	2.76E+11	5
Lithuania	LTU	Vilnius	2789533	5.3251E+10	52
Bulgaria	BGR	Sofia	7024216	6.5133E+10	105
Bahrain	BHR	Manama	1569439	3.7746E+10	41
Botswana	BWA	Gaborone	2254126	1.8616E+10	142
Tunisia	TUN	Tunis	11565204	3.9861E+10	102

1. Reuse your Country class from Project 1 (correct it if necessary) 2. Create a class named Stack that will implement a stack of country objects using an array. Support the following methods. a. Constructor that creates the stack array based on a size provided. b. A push method to push a country on the stack. c. A pop method to pop a country off the stack and return it. d. A printStack method to print the stack from top down to bottom of it. e. An isEmpty method that returns true if the stack is empty, false otherwise f. An is Full method that returns true if the stack is full, false otherwise 3. Create a class named Priority that implements a priority queue of country objects using a sorted array, based on GDP per capita, the higher the GDP per capita, the higher the priority. Support the following methods: a. Constructor that creates the stack array based on a size provided. b. An insert method to insert a country into the queue. (This should be an O(N) method.) c. A remove method to remove a country from the front of the queue and return it. (This should be an O(1) method.) d. A printQueue method to print the queue in priority order. e. An isEmpty method that returns true if the priority queue is empty, false otherwise f. An is Full method that returns true if the priority queue is full, false otherwise 4. Create a class named Project2 that will: a. Let us define five groups of countries based on GDP per capita: POOR countries as those with GDP per capita