The goal of this project is to investigate the spatial patterns and relationships between sentiment expressed in tweets and regional unemployment rates across the UK. By applying spatial autocorrelation and Geographically Weighted Regression (GWR) analysis, the project aims to uncover how sentiment varies geographically and how it correlates with economic indicators such as unemployment rate. This analysis will provide insights into the spatial dynamics of social media activity and its potential linkages to socio-economic factors.

Here, we will be having visual exploration of associatioon rules on grocery dataset.