Computational Analysis of the Transformation of Former Colonial Countries

Presented by:
Aditi Singh (Denison University)

This paper does a computational analysis to understand the extent to which former colonies have been transformed due to colonial rule. This extent is represented by the response variable: Colonial Transformation Score, from a scale of 0 to 100. This paper uses multivariate ridge regression analysis to identify the significant variables impacting the transformation and to what degree these variables are influencing. This paper also considers how the duration of colonialism impacts the level of transformation – with the KMeans Clustering algorithm. Interestingly, we identified that there were two distinct waves of colonialism, one lasting for 100-200 years and other from 300400 years. This aligns with the literature suggesting there were two eras of colonialism, the Mercantilist wave and the Imperialist wave with different colonial duration. Finally, using the ANOVA test, this paper compares the difference in transformation by the French versus British colonial rule. There was no significant difference found within the groups, suggesting the extent transformation is not determined by who performs the act, but more so by how they executed it during their rule.

This is a link to an interactive visual created for the purposes of data exploration to see how specific colonies have been impacted during colonial rule and what their individual observations have within them