Smart Cities of Tomorrow Notebook

Add up the fields and take the average of them. Make sure it is normalised between 0 and 1 for ease of comparison with other scores.

 # Raw (unscaled) score: simple average of components df_urban_planning["urban_spatial_raw"] = spatial_components.mean(axis=1) # Normalised score [0, 1] df_urban_planning["urban_spatial_score"] = min_max_normalize( df_urban_planning["urban_spatial_raw"] )