Time: 2 weeks

Team: 2

Language: Python

The world population growth is a cause for concern for most people: 1 billion people in 1800, 2 billion peo-ple in 1927, 6 billion people in 2000 and more than 7.5 billion people today... Predicting future population using past censuses is therefore a key concept.

Along with this subject, you will find a file named 207demography_data.csv, which gives an estimation of every country’s population from 1960 onwards. If world population growth seems exponential in the long-term, in a shorter term it seems linear: using this data, you must establish the linear least squares regression that will allow you to predict population depending on the year.

In the following,Y is the population (in million people) and X the year. With one or several country codes as inputs, your program will print:

• The aX and bX coefficients of the linear fit Y = aX * X + bX
• The root-mean-square deviation of this fit
• The population prediction in 2050 according to this fit
• The aY and bY coefficients of the linear fit X = aY * Y + bY
• The root-mean-square deviation of this fit
• The population prediction in 2050, according to this fit
• The correlation coefficient between X and Y

>> ./207demography -h
USAGE
    ./207demography code [...]
    
DESCRIPTION
    code    country code

Author Corentin COUTRET-ROZET and PATRICIA MONFA-MATAS