From a 500-row sample across 17 columns.
:@computed_region_efsh_h5xi:@computed_region_f5dn_yrer:@computed_region_yeji_bk3q+3:@computed_region_efsh_h5xi:@computed_region_f5dn_yrer:@computed_region_yeji_bk3q+2:@computed_region_f5dn_yrer:@computed_region_yeji_bk3q:@computed_region_sbqj_enih+1Mappable — Socrata point column `geocoded_column`.
Open on the map →| hour_beginning | location | pedestrians | towards_manhattan | towards_brooklyn | lat | long | geocoded_column | :@computed_region_efsh_h5xi | :@computed_region_f5dn_yrer | :@computed_region_yeji_bk3q | :@computed_region_92fq_4b7q |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-04-30T00:00:00.000 | Brooklyn Bridge | 3 | 3 | 0 | 40.7081639691088 | -73.9995087014816 | 40.7081639691088, -73.9995087014816 | 13096 | 56 | 4 | 32 |
The machine field names SoQL needs, with the publisher's own description of each.
| Field | Type | Description | Null | Values |
|---|---|---|---|---|
hour_beginning | datetime | Date and time of hourly count | 0% | 2019-11-03T01:00:00.0002018-03-27T06:00:00.0002019-03-25T20:00:00.000 |
location | text | Name of site where count was obtained | 0% | Brooklyn Bridgeof 1 |
pedestrians | integer | Total count (sum of directions) | 0% | 012 |
towards_manhattan | integer | Pedestrians crossing towards Manhattan | 0% | 012 |
GET /api/datasets/6fi9-q3ta GET /api/datasets/6fi9-q3ta/quality GET /api/datasets/6fi9-q3ta/related GET /api/columns?dataset=6fi9-q3ta
:@computed_region_efsh_h5xigeocoded_column:@computed_region_f5dn_yrer+3:@computed_region_efsh_h5xilat:@computed_region_f5dn_yrer+5| 2019-12-31T22:00:00.000 | Brooklyn Bridge | 10 | 9 | 1 | 40.7081639691088 | -73.9995087014816 | 40.7081639691088, -73.9995087014816 | 13096 | 56 | 4 | 32 |
| 2019-12-31T23:00:00.000 | Brooklyn Bridge | 2 | 0 | 2 | 40.7081639691088 | -73.9995087014816 | 40.7081639691088, -73.9995087014816 | 13096 | 56 | 4 | 32 |
| 2019-12-31T21:00:00.000 | Brooklyn Bridge | 12 | 0 | 12 | 40.7081639691088 | -73.9995087014816 | 40.7081639691088, -73.9995087014816 | 13096 | 56 | 4 | 32 |
| 2019-04-01T03:00:00.000 | Brooklyn Bridge | 1 | 0 | 1 | 40.7081639691088 | -73.9995087014816 | 40.7081639691088, -73.9995087014816 | 13096 | 56 | 4 | 32 |
| 2019-12-25T14:00:00.000 | Brooklyn Bridge | 3171 | 1685 | 1486 | 40.7081639691088 | -73.9995087014816 | 40.7081639691088, -73.9995087014816 | 13096 | 56 | 4 | 32 |
| 2019-01-27T21:00:00.000 | Brooklyn Bridge | 13 | 5 | 8 | 40.7081639691088 | -73.9995087014816 | 40.7081639691088, -73.9995087014816 | 13096 | 56 | 4 | 32 |
| 2019-02-07T04:00:00.000 | Brooklyn Bridge | 0 | 0 | 0 | 40.7081639691088 | -73.9995087014816 | 40.7081639691088, -73.9995087014816 | 13096 | 56 | 4 | 32 |
| 2019-01-03T21:00:00.000 | Brooklyn Bridge | 9 | 7 | 2 | 40.7081639691088 | -73.9995087014816 | 40.7081639691088, -73.9995087014816 | 13096 | 56 | 4 | 32 |
| 2019-08-13T09:00:00.000 | Brooklyn Bridge | 520 | 281 | 239 | 40.7081639691088 | -73.9995087014816 | 40.7081639691088, -73.9995087014816 | 13096 | 56 | 4 | 32 |
Showing 12 of 17 columns. All of them are listed below.
towards_brooklyn| integer |
| Pedestrian crossing towards Brooklyn |
| 0% |
012 |
weather_summary | categorical | Overall daily weather (cloudy, clear, rain, etc.) | 0% | clear-nightpartly-cloudy-dayclear-dayof 10 |
temperature | integer | Hourly temperature, in Fahrenheit degrees | 0% | 364238 |
precipitation | float | Hourly precipitation, in inches | 0% | 00.000100.00020 |
lat | float | latitude | 0% | 40.7081639691088of 1 |
long | float | longitude | 0% | -73.9995087014816of 1 |
events | text | Holidays | 93% | Christmas DayIndependence DayChristmas Eve |
geocoded_column | coordinate | — | — | — |