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WORLD DATA By Country (2020)

@kaggle.daniboy370_world_data_by_country_2020

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Extracted data of Wikipedia's lists of countries by criterion

Context

The kernel aims to extract data from Wikipedia's list of countries by category, and visualize it. The database itself, contains a HUGE amount of analyzed data at different categories, waiting anxiously for someone to present them elegantly ( 😏 ), and compare the trends between the different countries.

                               

Content

The list contains 143 analyses of countries with respect to a specific criterion. Practically, I will refer to several criteria that I found interesting, however the reader is free to add as much as he pleases :

Criterion File
GDP per capita df_{GDP}
Population growth df_{Pop-Growth}
Life expectancy df_{Life-exp}
Median age df_{Med-age}
Meat consumption df_{Meat-cons}
Sex-ratio df_{GDP}
Suicide rate df_{Suicide}
Urbanization df_{Urban}
Fertility rate df_{Fertile}

The well processed data should be able to provide such a visualization ( for example ) :

                                             

Pipeline

Choose criterion >> Extract data >> Examine & Clean >> Convert to dataframe >> Visualize :

                                             

$$ \text{Enjoy !}$$


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