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Taking a theoretical framework for city globalisation and building a proof of concept clustering analysis on data from Eurostat.

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Classifying cities using clustering techniques

Description: This project is part of the CASA Quantitative Methods course. It aims to bolster a theoretical framework for classifying cities along a spectrum based on the extent that they have been affected by economic globalisation.

The analysis centres around clustering. The workflow in this GitHub provides the means of connecting to Eurostat and re-running the analysis with any desired variables for easier extension of this research.

Relevant files: Jupyter notebook is here

Accompanying essay is here(to be added)

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Taking a theoretical framework for city globalisation and building a proof of concept clustering analysis on data from Eurostat.

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