Here below is the data for popData.text:

China 1369480000 India 1270250000 United 320865000 Indonesia 255461700 Brazil 204215000 Pakistan 189607000 Nigeria 183523000 Bangladesh 158223000 Russia 146267288 Japan 126910000 Mexico 121005815 Philippines 101345800 Vietnam 91583000 Ethiopia 90076012 Egypt 88404300 Germany 81083600 Iran 78287900 Turkey 77695904 Democratic Republic of the Congo 71246000 France 66121000 Thailand 65104000 United Kingdon 64800000 Italy 60788845 South Africa 54002000 Burma 51419420 South Korea 51342881 Colombia 48098100 Tanzania 47421786 Kenya 46749000 Spain 46464053 Argentina 43131966 Ukraine 42895704 Algeria 39500000 Poland 38484000 Sudan 38435252 Iraq 36004552 Canada 35702707 Uganda 34856813 Morocco 33848242 Saudi Arabia 31521418 Peru 31151643 Venezuela 30620404 Malaysia 30562200 Uzbekistan 30492800 Nepal 28037904 Ghana 27043093 Afghanistan 26556800 Yemen 25956000 Mozambique 25727911 North Korea 25155000 Angola 24383301 Australia 23821900 Taiwan 23449287 Syria 23163313 Ivory Coast 22671331 Madagascar 21842167 Cameroon 21143237 Sri Lanka 20675000 Romania 19942642 Niger 19268000 Burkina Faso 18450494 Chile 18006407 Kazakhstan 17458500 Netherlands 16899600 Malawi 16310431 Mali 16259000 Guatemala 15806675 Zambia 15473905 Ecuador 15466000 Cambodia 15405157 Chad 13606000 Senegal 13508715 Zimbabwe 13061239 South Sudan 11892934 Bolivia 11410651 Belgium 11239755 Cuba 11210064 Somalia 11123000 Rwanda 10996891 Greece 10992589 Tunisia 10982754 Haiti 10911819 Guinea 10628972 Czech Republic 10538275 Portugal 10477800 Dominican Republic 10378267 Benin 10315244 Hungary 9849000 Burundi 9823827 Sweden 9760142 Azerbaijan 9611700 United Arab Emirates 9577000 Belarus 9481000 Honduras 8725111 Austria 8579747 Tajikistan 8354000 Israel 8345000 Switzerland 8211700 Papua New Guinea 7398500 Hong Kong 7264100 Bulgaria 7202198 Togo 7171000 Serbia 7146759 Paraguay 7003406 Laos 6802000 Eritrea 6738000 Jordan 6721780 El Salvador 6401240 Sierra Leone 6319000 Libya 6317000 Nicaragua 6134270 Kyrgyzstan 5915300 Denmark 5659715 Finland 5478002 Singapore 5469700 Slovakia 5421349 Norway 5165802 Central African Republic 4803000 Costa Rica 4773130 Turkmenistan 4751120 Palestine 4682467 Republic of the Congo 4671000 Ireland 4609600 New Zealand 4577530 Liberia 4503000 Georgia 4490500 Croatia 4267558 Oman 4161705 Lebanon 4104000 Bosnia and Herzegovina 3791622 Panama 3764166 Mauritania 3631775 Moldova 3555200 Puerto Rico 3548397 Uruguay 3404189 Kuwait 3268431 Mongolia 3015207 Armenia 3013900 Lithuania 2916443 Albania 2893005 Jamaica 2717991 Qatar 2334029 Namibia 2280700 Lesotho 2120000 Slovenia 2066407 Macedonia 2065769 Botswana 2056000 Latvia 1985600 The Gambia 1882450 Kosovo 1827231 Guinea-Bissau 1788000 Gabon 1751000 Equatorial Guinea 1430000 Trinidad and Tobago 1328019 Bahrain 1316500 Estonia 1312252 Mauritius 1261208 East Timor 1212107 Swaziland 1119375 Djibouti 900000 Fiji 859178 Cyprus 858000 Reunion 844994 Comoros 763952 Bhutan 759740 Guyana 746900 Macau 636200 Montenegro 620029 Solomon Islands 581344 Luxembourg 562958 Suriname 534189 Cape Verde 518467 Western Sahara 510713 Transnistria 505153 Malta 425384 Guadeloupe 405739 Brunei 393372 Martinique 381326 The Bahamas 368390 Belize 358899 Maldives 341256 Iceland 329100 Northern Cyprus 294906 Barbados 285000 New Caledonia 268767 French Polynesia 268270 Vanuatu 264652 Abkhazia 240705 French Guiana 239648 Mayotte 212645 Samoa 187820 Sao Tome and Principe 187356 Saint Lucia 185000 Guam 159358 Curacao 154843 Saint Vincent and the Grenadines 109000 Aruba 107394 Kiribati 106461 United States Virgin Islands 106405 Grenada 103328 Tonga 103252 Federated States of Micronesia 101351 Jersey 99000 Seychelles 89949 Antigua and Barbuda 86295 Isle Of Man 84497 Andorra 76949 Dominica 71293 Bermuda 64237 Guernsey 65150 Marshall Islands 56086 Greenland 55984 Cayman Islands 55691 American Samoa 55519 Saint Kitts and Nevis 55000 Northern Mariana Islands 53883 South Ossetia 51547 Faroe Islands 48724 Sint Maarten 37429 Liechtenstein 37370 Monaco 36950 Collectivity of Saint Martin 35742 San Marino 32789 Turks and Caicos Islands 31458 Gibraltar 30001 Aland Islands 28875 British Virgin Islands 28054 Caribbean Netherlands 23296 Palau 20901 Cook Islands 14974 Anguilla 13452 Wallis and Futuna 13135 Tuvalu 11323 Nauru 10084 Saint Barthelemy 9131 Saint Pierre and Miquelon 6069 Montserrat 4922 "Saint Helens, Ascension and Tristan da Cunha" 4000 Falkland Islands 3000 Svalbard and Jan Mayen 2562 Norfolk Island 2302 Christmas Island 2072 Niue 1613 Tokelau 1411 Vatican City 839 Cocos (Keeling) Islands 550 Pitcairn Islands 56

1: 30.1%, 2: 17.6%, 3: 12.5%, 4: 9.7%, 5: 7.9%, 6: 6.7%, 7: 5.8%, 8: 5.1%, 9: 4.6% You should use this distribution in your program. You are being provided with a text file giving population data for 247 countries and territories. Your program should read in the data in this file and extract the information needed to keep count of how often each first digit is found. It may be useful to know that the ASCII value for the character l' is 49. For this assignment, you are to design a Java class named Benford that uses an ArrayList object to store counts of first digits. A Benford object will have only one field, the ArrayList object. You will need the following class methods (at a minimum - you may add as many helper methods as you wish): . A constructor to construct Benford objects A class method named readCounts() that takes a file name as a parameter and that reads and stores data from a text file into a Benford object. A class method named benfordPercents() that uses the data in the Benford object to fill an array of double values giving the percentage counts for each initial digit based on the raw counts contained in the Benford object. You are also to design a client class named BenfordPlot that displays the data in the Benford object graphically. The output should be similar to the examples shown below, except your plot should be titled "Population of Countries. The A symbol in the plot below indicated the expected Benford value. The second plot shown below displays a distribution that does NOT follow Benford's Law. Drawing Panel File View Help Benford Analysis - Benford Frequencies 30.1% 1 A 2 17.6% 3 12.5% 9.7% A 5 7.9% 6 6.7% 7 5.8% 8 5.1% 9 4.6% (238, 381) 1: 30.1%, 2: 17.6%, 3: 12.5%, 4: 9.7%, 5: 7.9%, 6: 6.7%, 7: 5.8%, 8: 5.1%, 9: 4.6% You should use this distribution in your program. You are being provided with a text file giving population data for 247 countries and territories. Your program should read in the data in this file and extract the information needed to keep count of how often each first digit is found. It may be useful to know that the ASCII value for the character l' is 49. For this assignment, you are to design a Java class named Benford that uses an ArrayList object to store counts of first digits. A Benford object will have only one field, the ArrayList object. You will need the following class methods (at a minimum - you may add as many helper methods as you wish): . A constructor to construct Benford objects A class method named readCounts() that takes a file name as a parameter and that reads and stores data from a text file into a Benford object. A class method named benfordPercents() that uses the data in the Benford object to fill an array of double values giving the percentage counts for each initial digit based on the raw counts contained in the Benford object. You are also to design a client class named BenfordPlot that displays the data in the Benford object graphically. The output should be similar to the examples shown below, except your plot should be titled "Population of Countries. The A symbol in the plot below indicated the expected Benford value. The second plot shown below displays a distribution that does NOT follow Benford's Law. Drawing Panel File View Help Benford Analysis - Benford Frequencies 30.1% 1 A 2 17.6% 3 12.5% 9.7% A 5 7.9% 6 6.7% 7 5.8% 8 5.1% 9 4.6% (238, 381)