fieldDelimiter:  ",",
			header:          true,

            minimum: 0
            exclusiveMinimum: false
            default: 0
            example: 0
        - name: geo.location.point
          in: query
          description: Latitude and Longitude for Geo search
          required: false
          schema:
            type: string
            example: 35.0,139.0
        - name: geo.location.distance
          in: query

nyc-taxi-data-100k.csv trip_id vendor_id pickup_datetime dropoff_datetime store_and_fwd_flag rate_code_id pickup_longitude pickup_latitude dropoff_longitude dropoff_latitude passenger_count trip_distance fare_amount extra mta_tax tip_amount tolls_amount ehail_fee improvement_surcharge total_amount payment_type trip_type pickup dropoff cab_type precipitation snow_depth snowfall max_temp min_temp wind pickup_nyct2010_gid pickup_ctlabel pickup_borocode pickup_boroname pickup_ct2010 pickup_boroct2010...

func TestCSVQueries(t *testing.T) {
	input := `index,ID,CaseNumber,Date,Day,Month,Year,Block,IUCR,PrimaryType,Description,LocationDescription,Arrest,Domestic,Beat,District,Ward,CommunityArea,FBI Code,XCoordinate,YCoordinate,UpdatedOn,Latitude,Longitude,Location
2700763,7732229,,2010-05-26 00:00:00,26,May,2010,113XX S HALSTED ST,1150,,CREDIT CARD FRAUD,,False,False,2233,22.0,34.0,,11,,,,41.688043288,-87.6422444,"(41.688043288, -87.6422444)"`

	testTable := []struct {

* Validación para la mayoría (¿o todos?) los **tipos de datos** de Python incluyendo:
    * Objetos JSON (`dict`).
    * JSON array (`list`) definiendo tipos de ítem.
    * Campos de texto (`str`) definiendo longitudes mínimas y máximas.
    * Números (`int`, `float`) con valores mínimos y máximos, etc.

* Validación para tipos más exóticos como:
    * URL.
    * Email.
    * UUID.
    * ...y otros.