Prepare, analyze and visualize data to compare different countries in terms of which is more livable.
Clone the repository, decide on your countries of interest and indicators and you are all set.
There should be no necessary libraries to run the code here beyond the Anaconda distribution of Python. The code should run with no issues using Python versions 3.*.
Full data (and code) can be accessed here.
For this exercise I was interested to see what data is available for comparing different countries in terms of how livable they are and what insights can be extracted from the that data. The short analysis present in this repo is far from complete but it can hopefully serve as a good start in objectively comparing different countries for whatever reasons.
There is a single file (a Jupyter Notebook) that contains the code used to analyze different aspect of countries.
The results of the code are presented inline as graphs. A brief discussion on the results can be found here.
Must give credit to World Bank and Numbeo for the data. You can find the Licensing for the data and other descriptive information at the respective websites. Otherwise, feel free to use the code here as you would like!