The Finder data provides essential geographic information about each location of metal health service finder in NYC. It contains ‘zip’, ‘street-name’, ‘longitude’, ‘latitude’, and some contact information. I used this data only for locating service finder location purpose. This is achieved by importing shapely to combine the longitude and latitude of individual finder location into a point data (see figures) . The major weakness of this data is that too many missing values and invalid entry can be found within it. Even the column of  ‘longitude’ is not completed, so I have to drop the rows contain ‘nan’ before processing the data, which means how many ‘nan’ I drop from the original data, how many locations would disappear from the point data set.