Visualizing the data

Since this data is based on ZIP codes, the best way to visualize it is with a choropleth. If you're unfamiliar with a choropleth, it's simply a visualization that represents the data according to a color spectrum. Let's create one now using a Python mapping library called folium at https://github.com/python-visualization/folium. If you don't have folium installed, again, it can be done with pip install on the command line.

Now we'll go ahead and create our visualization:

import folium 
 
m = folium.Map(location=[40.748817, -73.985428], zoom_start=13) 
 
m.choropleth( 
    geo_data=open('nyc.json').read(), 
    data=zdf_mean, 
    columns=['zip', 'avg_rent'], 
    key_on='feature.properties.postalCode', 
    fill_color='YlOrRd', fill_opacity=0.7, line_opacity=0.2, 
    ) 
 
m 

There...