1. Write a python program with a main function to read the file, and produce a list of all countries with a population above 400,000,000. The report will look something like this:
Countries with a population over 400000000.0
China 1313973713.0
India 1095351995.0
2. Modify your program so that the user can enter any positive value and the program will print a list of countries with populations above that value.
Enter population minimum: 500000000
Countries with a population over 500000000.0
China 1,313,973,713
India 1,095,351,995
3. Modify your program so the user can specify one of the following columns by name (Population, Area, Pop. Density, Coastline). These are the names from the first line of the data file. Only allow the user to enter one of these 4 names.
Enter column name: Area
Enter area minimum: 5000000
Countries with a area over 5000000.0
Australia 7,686,850
Brazil 8,511,965
Canada 9,984,670
China 9,596,960
Russia 17,075,200
United States of America 9,631,420
4. Add a section to your program to produce a summary of either total population, total area, or total coastline, for each region in the file. This is where you want to use a dictionary, with the region as the key. This does not require any user input.
Total population by region:
ASIA (EX. NEAR EAST) 3,687,982,236
EASTERN EUROPE 119,914,717
NORTHERN AFRICA 161,407,133
OCEANIA 33,131,662
WESTERN EUROPE 396,339,998
SUB-SAHARAN AFRICA 749,437,000
LATIN AMER. & CARIB 561,602,863
C.W. OF IND. STATES 280,081,548
NEAR EAST 191,179,128
NORTHERN AMERICA 331,672,307
BALTICS 7,184,974
I need this assignment done in the following format
"This needs to be more of a dynamic process taking the file I provided opening it and having the program copy each line to a list while stripping off the \n by .strip() and splitting the line by .split(',') that way it will be easier to select the correct data by something like
for aline in data_list:
print aline[0] + aline[3]
this type of code is what you will need for the majority of the assignment. you just have to find the correct column for the area or pop or etc. and check to see if each countries value for that column is greater than the value.(in the first example it is 400000000)"
Hi!
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Regards
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All info seems to be complete. CSV file looks OK.
The only question that I have: do you want python 2 or python 3.
There are small differences, and for some functions there is no backward compatibility.
The code that I'll deliver will be well documented.
Best Regards,
Marcel Preda
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