Analysis of 300,000 karaoke club members part 2

This is the second part of the analysis. The first part can be found here

Part 2 of the analysis will be presented using maps. I have attempted correlation analysis of node-level attributes but have not been able to make any statistically significant conclusion from the results.

Members from Taiwan and "Others" were not included due to limitations in mapping library.

Yes, I am aware that Singapore is much more densely populated. Unfortunately, this is one of the best GeoJSON map that I found. I took the liberty to modify some of the location names to increase the matches. Nevertheless, there are still many empty spots.