An end-to-end unsupervised learning project using K-Means Clustering and PCA to identify high-risk consumer personas. Features a "Lift Analysis" using the Apriori algorithm to uncover behavioral signatures that lead to service friction and churn.

Accessing The Displacement Tracking Matrix (DTM) API using R

Description of the International Organization of Migrations's Displacement Tracking Matrix

TALLER ESTADISTICA II

Example from Coursera

Continuing Cartogrpahic visualizations via ggplot and now webmapping with leaflet.