From a 500-row sample across 17 columns.
dbnhispanicsetssblack+12school_yeardbnschool_yeardbn| school_year | dbn | school_name | total_enrollment_pre_k_to | female | male | asian | black | hispanic | other | white | students_with_disabilities |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | 01M015 | P.S. 015 Roberto Clemente | 183 | 0.459 | 0.541 | 0.044 | 0.355 | 0.585 | 0.005 | 0.011 | 0.311 |
| 2015-16 | 01M019 |
The machine field names SoQL needs, with the publisher's own description of each.
| Field | Type | Description | Null | Values |
|---|---|---|---|---|
school_year | text | — | 0% | 2015-16of 1 |
dbn | text | — | 0% | 11X12128Q17526Q495 |
school_name | text | — | 0% | P.S. 253P.S. 212Ralph R. McKee Career an… |
total_enrollment_pre_k_to | integer | — | 0% | 428368487 |
female | float | — |
GET /api/datasets/tsps-ttpz GET /api/datasets/tsps-ttpz/quality GET /api/datasets/tsps-ttpz/related GET /api/columns?dataset=tsps-ttpz
dbnschool_namedbndbnschool_year| P.S. 019 Asher Levy |
| 270 |
| 0.489 |
| 0.511 |
| 0.111 |
| 0.174 |
| 0.585 |
| 0.03 |
| 0.10 |
| 0.285 |
| 2015-16 | 01M020 | P.S. 020 Anna Silver | 633 | 0.476 | 0.524 | 0.365 | 0.084 | 0.488 | 0.024 | 0.039 | 0.223 |
| 2015-16 | 01M034 | P.S. 034 Franklin D. Roosevelt | 395 | 0.504 | 0.496 | 0.063 | 0.278 | 0.62 | 0.003 | 0.035 | 0.281 |
| 2015-16 | 01M063 | The STAR Academy - P.S.63 | 199 | 0.492 | 0.508 | 0.07 | 0.206 | 0.623 | 0.00 | 0.101 | 0.317 |
| 2015-16 | 01M064 | P.S. 064 Robert Simon | 282 | 0.426 | 0.574 | 0.071 | 0.181 | 0.656 | 0.018 | 0.074 | 0.323 |
| 2015-16 | 01M110 | P.S. 110 Florence Nightingale | 419 | 0.484 | 0.516 | 0.129 | 0.098 | 0.444 | 0.038 | 0.291 | 0.16 |
| 2015-16 | 01M134 | P.S. 134 Henrietta Szold | 255 | 0.463 | 0.537 | 0.255 | 0.192 | 0.522 | 0.00 | 0.031 | 0.302 |
| 2015-16 | 01M137 | P.S. 137 John L. Bernstein | 186 | 0.468 | 0.532 | 0.14 | 0.242 | 0.581 | 0.005 | 0.032 | 0.328 |
| 2015-16 | 01M140 | P.S. 140 Nathan Straus | 380 | 0.521 | 0.479 | 0.055 | 0.105 | 0.795 | 0.005 | 0.039 | 0.324 |
Showing 12 of 17 columns. All of them are listed below.
| 0% |
0.4920.4820.487 |
male | float | — | 0% | 0.5080.5180.513 |
asian | float | — | 0% | 0.000.0050.004 |
black | float | — | 0% | 0.0060.0090.005 |
hispanic | float | — | 0% | 0.1960.1670.534 |
other | float | — | 0% | 0.000.0050.008 |
white | float | — | 0% | 0.0120.0130.00 |
students_with_disabilities | float | — | 0% | 0.1850.1790.175 |
english_language_learners | float | — | 0% | 0.000.0720.067 |
poverty | float | — | 0% | 1.000.9170.858 |
ict | text | — | 0% | 0.00%8.10%7.40% |
special_class | text | — | 0% | 0.00%0.20%0.80% |
setss | text | — | 0% | 0.00%0.90%2.30% |