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This project is my playground to explore ways to combine and use some interesting datasets, to improve my problem solving skills, to learn more about Machine Learning techniques, and, hopefully, to get some insights into interrelationships between aspects of our lives that influence our living together.
For this project multiple data sources are combined to give insights into the relationship between migration and refugee streams, education, economic investment, and ecological factors.
Currently the following data sources are integrated:
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The World Bank maintains an open data portal offering many datasets in various categories. I grouped the indicators into
Development
,Ecology
,Economy (general)
,Economy (social impact)
,Economy (employment)
,Education
,Emission
,Energy
,Government expenditure
,Health
,International relations
,Land use
, andPopulation
. The full list of the utilized indicators and their categorisation can be found here. -
Migration and refugee data was obtained from the UN Refugee Agency (UNHCR) as well as from the Organisation for Economic Co-operation and Development (OECD). Both datasets should complement themselves and make the information more reliable. Note however that the OECD data is not available for the full time range.