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Data from NYC Open Data via the Socrata Discovery API. Quality scores are computed from a sample and are indicative, not authoritative.
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VZV Street Team Flyers

j62s-m9yfTransportation7 columns
Street Team members trained the general public with Vision Zero hands-on safety exercises including safe walking and biking, car safety tips and an opportunity to get inside of large delivery trucks to experience their blind spots. Vision Zero promotional materials were handed out along with educational handouts. For a complete list of Vision Zero maps, please follow this link
View on NYC Open Data↗

Quality

A90.3 / 100

From a 500-row sample across 7 columns.

completeness100/ 25% weight
consistency64/ 20% weight
accuracy87/ 20% weight
timeliness100/ 15% weight
usability100/ 20% weight
  • · Has coordinates — directly mappable, and joinable to other NYC datasets

Related datasets

  • VZV Priority Intersections0.59
    joins onthe_geomyx+2
  • VZV Taxi & Car Service Trainings0.57
    joins onthe_geomydate+3
  • VZV Turn Traffic Calming0.56
    joins onthe_geomyx+2
  • VZV Enhanced Crossings0.55
    joins onthe_geomyx+2
  • VZV Leading Pedestrian Interval Signals0.53

Geography

Mappable — Socrata point column `the_geom`.

Open on the map →

Sample rows

the_geomtotal_flyerdatelonglatxy
40.67012, -73.95527560.010/21/2019-73.955271185158140.6701245162883996658.000106394183423.999999732
40.68944, -73.95512940.010/22/2019-73.955121201538840.6894449194852996696.000030383190463.000029311
40.67872, -73.952991075.010/23/2019

Columns

7 queryable · 7 profiled

The machine field names SoQL needs, with the publisher's own description of each.

FieldTypeDescriptionNullValues
the_geomcoordinate—0%{'coordinates': [-73.852…{'coordinates': [-74.162…{'coordinates': [-74.109…
total_flyerinteger—0%0.032003800
datetext—0%10/30/201910/24/20197/13/2022
longcoordinate—0%-73.852163876414-74.1097619144324

Query this from your own app

GET /api/datasets/j62s-m9yf
GET /api/datasets/j62s-m9yf/quality
GET /api/datasets/j62s-m9yf/related
GET /api/columns?dataset=j62s-m9yf
joins onthe_geomyx+2
  • VZV Street Improvement Projects (SIP) Intersections0.53
    joins onthe_geomyx+2
  • VZV Priority Zones or Areas0.46
    joins onthe_geom
  • VZV Safe Streets For Seniors0.46
    joins onthe_geom
  • -73.952986867156
    40.6787229868888
    997290.000154719
    186556.999967307
    40.67703, -73.95268625.010/24/2019-73.952678015559240.6770265895432997375.999982715185938.999890983
    40.67703, -73.95268360.010/24/2019-73.952678015559240.6770265895432997375.999982715185938.999890983
    40.67066, -73.95797630010/26/2019-73.957974477289140.6706580220649995907.999965966183617.999939814
    40.75550, -73.96807955.010/28/2019-73.968067132299940.7555045918697993097.00001055214529.000125557
    40.72860, -73.98767555.010/29/2019-73.987671465128540.7285960765482987667.000043809204724.00005056
    40.73235, -73.98495460.010/30/2019-73.984946577976540.7323505774347988421.999846131206091.999939233
    40.74259, -73.98041420.010/30/2019-73.980411665249940.742587822795989677.999958798209822.000025138
    -74.162421363317
    latcoordinate—0%40.693662515407140.607190292341540.5704668030309
    xcoordinate—0%1025246.00001688939150.999963135953755.999952555
    ycoordinate—0%192030.999846056160533.999848053147132.000077307