From a 500-row sample across 19 columns.
white_1site_typemale_1+16white_1male_1year+13white_1male_1year+13| site_id | site_name | site_type | year | total_enrollment | female | female_1 | male | male_1 | asian | asian_1 | black |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 01M015 | P.S. 015 Roberto Clemente | PS | 2015-16 | 14 | 4 | 0.286 | 10 | 0.714 | 0 | 0.0 | 7 |
| 01M015 | P.S. 15 Roberto Clemente | PS |
The machine field names SoQL needs, with the publisher's own description of each.
| Field | Type | Description | Null | Values |
|---|---|---|---|---|
site_id | text | — | 0% | MATQMAWJMAPD |
site_name | text | — | 0% | Trabajamos Community Hea…Mi Nuevo MundoBrooklyn Chinese America… |
site_type | categorical | — | 0% | DOEPSACSof 7 |
year | categorical | — | 0% | 2016-172015-162018-19of 4 |
GET /api/datasets/6gzn-qtm3 GET /api/datasets/6gzn-qtm3/quality GET /api/datasets/6gzn-qtm3/related GET /api/columns?dataset=6gzn-qtm3
white_1male_1yearwhite_1male_1year+13total_enrollmentasianhispanic+3year| 2016-17 |
| 17 |
| 10 |
| 0.588 |
| 7 |
| 0.412 |
| 3 |
| 0.176 |
| 2 |
| 01M015 | P.S. 15 Roberto Clemente | PS | 2017-18 | 17 | 9 | 0.529 | 8 | 0.471 | 3 | 0.176 | 8 |
| 01M015 | P.S. 015 Roberto Clemente | PS | 2018-19 | 13 | 6 | 0.462 | 7 | 0.538 | 4 | 0.308 | 3 |
| 01M019 | P.S. 019 Asher Levy | PS | 2015-16 | 21 | 10 | 0.476 | 11 | 0.524 | 1 | 0.048 | 7 |
| 01M019 | P.S. 19 Asher Levy | PS | 2016-17 | 24 | 19 | 0.792 | 5 | 0.208 | 5 | 0.208 | 2 |
| 01M019 | P.S. 19 Asher Levy | PS | 2017-18 | 13 | 8 | 0.615 | 5 | 0.385 | 0 | 0.0 | 1 |
| 01M019 | P.S. 019 Asher Levy | PS | 2018-19 | 10 | 6 | 0.6 | 4 | 0.4 | 0 | 0.0 | 1 |
| 01M020 | P.S. 020 Anna Silver | PS | 2015-16 | 46 | 25 | 0.543 | 21 | 0.457 | 12 | 0.261 | 1 |
| 01M020 | P.S. 20 Anna Silver | PS | 2016-17 | 41 | 24 | 0.585 | 17 | 0.415 | 12 | 0.293 | 3 |
Showing 12 of 19 columns. All of them are listed below.
total_enrollment| integer |
| — |
| 0% |
361835 |
female | integer | — | 0% | 9810 |
female_1 | float | — | 0% | 0.50.5560.444 |
male | integer | — | 0% | 91610 |
male_1 | float | — | 0% | 0.50.4440.556 |
asian | integer | — | 0% | 012 |
asian_1 | float | — | 0% | 0.00.0560.111 |
black | integer | — | 0% | 012 |
black_1 | float | — | 0% | 0.00.0560.028 |
hispanic | integer | — | 0% | 021 |
hispanic_1 | float | — | 0% | 0.00.1670.5 |
multiple_race_categories | integer | — | 0% | 012 |
multiple_race_categories_1 | float | — | 0% | 0.00.0560.028 |
white | integer | — | 0% | 012 |
white_1 | float | — | 0% | 0.01.00.056 |