The New York Police Department's controversial cease together with frisk policy is frequently criticized. The biggest criticism is that it suffers from obvious racial profiling. For example, 90% of cease together with frisk instances inward 2017 involved African-American or Latino citizens. Stop together with Frisk is a information visualization of NYC cease together with Frisk information which has been created to "allow for exploratory information analysis on historical Stop-and-Frisk" records
Stop together with Frisk includes heat-map visualizations of cease together with frisk role inward each New York borough. In truth the heat-map visualization for each borough isn't real helpful. I assume heat-maps cause got been chosen to exhibit the locations inward each borough where the most stops cause got taken place. In this honour the maps largely fail. H5N1 point density or hex-bin map would render a much clearer indication of where cease & frisks cause got most taken house inward each borough.
The racial break-down of each borough (under each map) is to a greater extent than effective. These bar charts visualize the discover of suspects involved inward cease together with frisk yesteryear race. These charts effectively reveal the extent that racial profiling has inward police pull stopping together with searching New York citizens. Or at to the lowest degree it would produce if the site provided a piffling information on the information existence used.
Data visualizations actually should include information both close where the information comes from together with what the information includes. Stop together with Frisk doesn't seem to offering whatever information close where the NYC cease together with frisk information comes from or what fourth dimension menstruum the information covers. Without this context the visualization isn't real usefu.
