# ELPA 823: Data Management for Education Policy Analysis | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ELPA_823)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

2026-09-07T15:55:43.033547+00:00

### built at

2026-09-10T19:50:42.743001+00:00

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
* 1264
* 1262
* 1254
* 1252
* 1244
* 1242
* 1234
* 1232
* 1224
* 1222
* 1212
* 1204
* 1202
* 1194
* 1192
* 1184
* 1182
* 1174
* 1172
* 1164
* 1162
* 1154
* 1152
* 1144
* 1142
* 1134
* 1132
* 1124
* 1122
* 1114
* 1112
* 1104
* 1102
* 1094
* 1092
* 1084
* 1082
* 1074
* 1072

### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
| ACCTIS    | 36    |
| ACTSCI    | 14    |
| AFAERO    | 10    |
| AFRICAN   | 87    |
| AFROAMER  | 71    |
| AGROECOL  | 21    |
| AMERIND   | 53    |
| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
| ANSCI     | 57    |
| ANTHRO    | 95    |
| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
| ASIALANG  | 129   |
| ASIAN     | 109   |
| ASIANAM   | 28    |
| ASTRON    | 38    |
| ATMOCN    | 69    |
| BIOCHEM   | 51    |
| BIOCORE   | 10    |
| BIOLOGY   | 14    |
| BIOMDSCI  | 18    |
| BME       | 66    |
| BMI       | 41    |
| BMOLCHEM  | 10    |
| BOTANY    | 69    |
| BSE       | 44    |
| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
| CNSRSCI   | 50    |
| COMARTS   | 137   |
| COMPBIO   | 15    |
| COMPLIT   | 11    |
| COMPSCI   | 138   |
| COUNPSY   | 78    |
| CRB       | 19    |
| CS\&D     | 71    |
| CSCS      | 40    |
| CURRIC    | 193   |
| DANCE     | 93    |
| DERM      | 8     |
| DS        | 88    |
| DYSCI     | 35    |
| ECE       | 155   |
| ECON      | 145   |
| EDPOL     | 114   |
| EDPSYCH   | 97    |
| ELPA      | 70    |
| EMA       | 53    |
| EMERMED   | 17    |
| ENGL      | 206   |
| ENTOM     | 40    |
| ENVIRST   | 148   |
| EP        | 15    |
| EPD       | 67    |
| ESL       | 16    |
| F\&WECOL  | 60    |
| FAMMED    | 22    |
| FINANCE   | 50    |
| FOLKLORE  | 40    |
| FOODSCI   | 43    |
| FRENCH    | 63    |
| GEN\&WS   | 145   |
| GENBUS    | 72    |
| GENECSLR  | 17    |
| GENETICS  | 60    |
| GEOG      | 113   |
| GEOSCI    | 83    |
| GERMAN    | 82    |
| GLE       | 48    |
| GNS       | 38    |
| GREEK     | 27    |
| HDFS      | 41    |
| HEBR-BIB  | 13    |
| HEBR-MOD  | 10    |
| HISTORY   | 233   |
| HISTSCI   | 56    |
| HONCOL    | 13    |
| ILS       | 43    |
| INFOSYS   | 9     |
| INTEGART  | 7     |
| INTEGSCI  | 22    |
| INTER-AG  | 18    |
| INTER-HE  | 11    |
| INTER-LS  | 22    |
| INTEREGR  | 16    |
| INTLBUS   | 21    |
| INTLST    | 50    |
| ISYE      | 83    |
| ITALIAN   | 53    |
| JEWISH    | 56    |
| JOURN     | 88    |
| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
| LEGALST   | 48    |
| LINGUIS   | 35    |
| LIS       | 89    |
| LITTRANS  | 78    |
| LSC       | 52    |
| M\&ENVTOX | 7     |
| MARKETNG  | 62    |
| MATH      | 153   |
| MDGENET   | 8     |
| ME        | 130   |
| MEDHIST   | 43    |
| MEDICINE  | 60    |
| MEDIEVAL  | 32    |
| MEDPHYS   | 39    |
| MEDSC-M   | 29    |
| MEDSC-V   | 41    |
| MHR       | 68    |
| MICROBIO  | 45    |
| MILSCI    | 16    |
| MM\&I     | 22    |
| MOLBIOL   | 6     |
| MS\&E     | 59    |
| MUSIC     | 165   |
| MUSPERF   | 126   |
| NAVSCI    | 20    |
| NE        | 44    |
| NEURODPT  | 11    |
| NEUROL    | 7     |
| NEURSURG  | 4     |
| NTP       | 11    |
| NURSING   | 111   |
| NUTRSCI   | 65    |
| OBS\&GYN  | 18    |
| OCCTHER   | 39    |
| ONCOLOGY  | 14    |
| OPHTHALM  | 5     |
| OTM       | 43    |
| PATH      | 34    |
| PATH-BIO  | 29    |
| PEDIAT    | 26    |
| PHARMACY  | 31    |
| PHILOS    | 77    |
| PHMCOL-M  | 11    |
| PHMPRAC   | 45    |
| PHMSCI    | 60    |
| PHYASST   | 37    |
| PHYSICS   | 88    |
| PHYSIOL   | 3     |
| PHYTHER   | 37    |
| PLANTSCI  | 52    |
| PLPATH    | 35    |
| POLISCI   | 192   |
| POPHLTH   | 58    |
| PORTUG    | 33    |
| PSYCH     | 101   |
| PSYCHIAT  | 22    |
| PUBAFFR   | 54    |
| PUBLHLTH  | 23    |
| RADIOL    | 11    |
| REALEST   | 41    |
| RELIGST   | 90    |
| RHABMED   | 9     |
| RMI       | 24    |
| RP\&SE    | 102   |
| S\&APHM   | 17    |
| SCANDST   | 73    |
| SLAVIC    | 89    |
| SOC       | 149   |
| SOCWORK   | 87    |
| SOILSCI   | 46    |
| SPANISH   | 83    |
| SRMED     | 21    |
| STAT      | 94    |
| STDYABRD  | 52    |
| STS       | 8     |
| SURGERY   | 25    |
| SURGSCI   | 33    |
| THEATRE   | 91    |
| URBRPL    | 60    |
| UROLOGY   | 5     |
| ZOOLOGY   | 89    |

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

2026-09-07 15:55:43.033547+00:00

### record version id

94ad3440180fbe15ce28041c1266e0808f10167b6d289858bfe4b5523d9738bd

### course id

ELPA 823

### course uid

course\_cf679c5c57bc98fef7fc9c41

### catalog version id

287be1130283190c164b88455002bcf81401228c6c2abda87a8eccfd17bc880d

### course number

823

### subjects

* ELPA

### title

DATA MANAGEMENT FOR EDUCATION POLICY ANALYSIS

### description

Focuses on the knowledge and skills required to support rigorous quantitative inquiry. Acquire and import data; combine (merge/append) multiple data sets; organize directories and files for optimal workflow; clean data; document data manipulations for reproducibility and transparency; write code to facilitate collaboration; and summarize data in visual (graph, chart, map) and tabular forms.

### requirements text

Graduate/professional standing

### credit offering ids

None recorded.

### llm job id

enrich-8b774950c2b6adfdc46d1b82

### llm output id

00d306769739d5ccb4d1a957ce16f46f18f771bf961eca25b62a394608cd4868

### llm model

nvidia/Qwen3.6-35B-A3B-NVFP4

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

ELPA 823 teaches data management skills for education policy analysis, including data acquisition, cleaning, documentation, and visualization.

### llm topics

* Quantitative inquiry support
* Reproducible data science
* Data visualization

### llm skills

* Acquire and import data
* Combine multiple data sets
* Organize directories and files
* Clean data
* Document data manipulations
* Write code for collaboration
* Summarize data in visual and tabular forms

### llm assumed background

None recorded.

### llm search phrases

* data management education policy
* quantitative inquiry data skills
* data cleaning reproducibility code
* data visualization graphs charts maps

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

3714fb360dacb98189a3b96ef23010f96826225f1534d5c3ae94cfc9abdf617c

#### course id

ELPA 823

#### current instructors

None recorded.

#### difficulty workload

None recorded.

#### errors

None recorded.

#### historical context

None recorded.

#### message

No course-specific reviews available

#### offered

false

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

Recent recorded grades — Spring 2022: 4.00 GPA, 100.0% A/AB (n=5 letter grades); Spring 2023: 4.00 GPA, 100.0% A/AB (n=10 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=16 letter grades).

```json
{
  "citations": [
    {
      "course_id": "ELPA 823",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "65f54d29-fb12-3309-a5a1-7102e25e53c0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1224",
      "type": "grade"
    },
    {
      "course_id": "ELPA 823",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "65f54d29-fb12-3309-a5a1-7102e25e53c0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1234",
      "type": "grade"
    },
    {
      "course_id": "ELPA 823",
      "run_id": "20260907T155543-ce3781c4",
      "source_record": {
        "entity_id": "65f54d29-fb12-3309-a5a1-7102e25e53c0",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### student experience

None recorded.

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

None recorded.

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [],
    "condition": "Graduate/professional standing",
    "course": null,
    "evidence": "Graduate/professional standing",
    "id": "n0",
    "kind": "condition"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

None recorded.

### offerings

None recorded.

### sections

None recorded.

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_4a0a977049912d61a368be9a",
    "source": "madgrades",
    "source_instructor_id": "5110032",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "PETER GOFF",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "grade_statistics": {
      "gpa": 3.932,
      "graded": 170,
      "counts": [
        152,
        13,
        5,
        0,
        0,
        0,
        0
      ],
      "sections": 51
    },
    "instructor_url": "/instructors/PETER_GOFF"
  },
  {
    "instructor_uid": "instructor_6facc5f3a9841783e4ac0e82",
    "source": "madgrades",
    "source_instructor_id": "5678111",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "MINSEOK YANG",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "grade_statistics": {
      "gpa": 3.917,
      "graded": 12,
      "counts": [
        10,
        2,
        0,
        0,
        0,
        0,
        0
      ],
      "sections": 2
    },
    "instructor_url": "/instructors/MINSEOK_YANG"
  },
  {
    "instructor_uid": "instructor_cdea66c0846cfcd75737aa8a",
    "source": "madgrades",
    "source_instructor_id": "6207521",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "QI ZHENG",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "grade_statistics": {
      "gpa": 3.917,
      "graded": 12,
      "counts": [
        10,
        2,
        0,
        0,
        0,
        0,
        0
      ],
      "sections": 2
    },
    "instructor_url": "/instructors/QI_ZHENG--instructor_cdea66c0846cfcd75737aa8a"
  },
  {
    "instructor_uid": "instructor_04fe654ec128f7d5601e56e1",
    "source": "madgrades",
    "source_instructor_id": "3496035",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "AR NELSON",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "grade_statistics": {
      "gpa": 3.973,
      "graded": 239,
      "counts": [
        230,
        7,
        1,
        0,
        1,
        0,
        0
      ],
      "sections": 20
    },
    "instructor_url": "/instructors/AR_NELSON--instructor_04fe654ec128f7d5601e56e1"
  },
  {
    "instructor_uid": "instructor_82d5cc1cbb4d8982e20e1fff",
    "source": "madgrades",
    "source_instructor_id": "4522153",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "CHRISTOPHER SALDANA",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "grade_statistics": {
      "gpa": 3.939,
      "graded": 90,
      "counts": [
        86,
        3,
        0,
        0,
        0,
        0,
        1
      ],
      "sections": 12
    },
    "instructor_url": "/instructors/CHRISTOPHER_SALDANA--instructor_82d5cc1cbb4d8982e20e1fff"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ELPA 823",
    "course_uid": "course_cf679c5c57bc98fef7fc9c41",
    "term_id": "1204",
    "term_name": "Spring 2020",
    "instructors": [
      "PETER GOFF"
    ],
    "a": 0,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 0,
    "source_aliases": [
      "ELPA 823"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ELPA 823",
    "course_uid": "course_cf679c5c57bc98fef7fc9c41",
    "term_id": "1212",
    "term_name": "Fall 2020",
    "instructors": [
      "MINSEOK YANG",
      "PETER GOFF",
      "QI ZHENG"
    ],
    "a": 0,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 0,
    "source_aliases": [
      "ELPA 823"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ELPA 823",
    "course_uid": "course_cf679c5c57bc98fef7fc9c41",
    "term_id": "1224",
    "term_name": "Spring 2022",
    "instructors": [
      "Ar Nelson"
    ],
    "a": 5,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 6,
    "source_aliases": [
      "ELPA 823"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ELPA 823",
    "course_uid": "course_cf679c5c57bc98fef7fc9c41",
    "term_id": "1234",
    "term_name": "Spring 2023",
    "instructors": [
      "Ar Nelson"
    ],
    "a": 10,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 10,
    "source_aliases": [
      "ELPA 823"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ELPA 823",
    "course_uid": "course_cf679c5c57bc98fef7fc9c41",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "Ar Nelson"
    ],
    "a": 0,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 0,
    "source_aliases": [
      "ELPA 823"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ELPA 823",
    "course_uid": "course_cf679c5c57bc98fef7fc9c41",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Christopher Saldana"
    ],
    "a": 16,
    "ab": 0,
    "b": 0,
    "bc": 0,
    "c": 0,
    "d": 0,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 16,
    "source_aliases": [
      "ELPA 823"
    ]
  }
]
```

### statistics

#### gpa

4

#### graded

31

#### counts

* 31
* 0
* 0
* 0
* 0
* 0
* 0

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_cf679c5c57bc98fef7fc9c41-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_cf679c5c57bc98fef7fc9c41-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_cf679c5c57bc98fef7fc9c41-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_cf679c5c57bc98fef7fc9c41-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_cf679c5c57bc98fef7fc9c41-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_cf679c5c57bc98fef7fc9c41-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

4

#### count

31

#### university

##### size

3365

##### gpa Percentile

94

##### count Percentile

2

##### median Count

102

##### histogram

| range   | count | current |
| ------- | ----- | ------- |
| 0.0–0.4 | 0     | false   |
| 0.4–0.8 | 0     | false   |
| 0.8–1.2 | 0     | false   |
| 1.2–1.6 | 0     | false   |
| 1.6–2.0 | 0     | false   |
| 2.0–2.4 | 0     | false   |
| 2.4–2.8 | 7     | false   |
| 2.8–3.2 | 198   | false   |
| 3.2–3.6 | 868   | false   |
| 3.6–4.0 | 2292  | true    |

#### departments

```json
[
  {
    "subject": "ELPA",
    "comparison": {
      "size": 30,
      "gpaPercentile": 86,
      "countPercentile": 0,
      "medianCount": 61.5,
      "histogram": [
        {
          "range": "0.0–0.4",
          "count": 0,
          "current": false
        },
        {
          "range": "0.4–0.8",
          "count": 0,
          "current": false
        },
        {
          "range": "0.8–1.2",
          "count": 0,
          "current": false
        },
        {
          "range": "1.2–1.6",
          "count": 0,
          "current": false
        },
        {
          "range": "1.6–2.0",
          "count": 0,
          "current": false
        },
        {
          "range": "2.0–2.4",
          "count": 0,
          "current": false
        },
        {
          "range": "2.4–2.8",
          "count": 0,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 0,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 0,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 30,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1224

##### term

1224

##### gpa

4

##### count

5

##### departments

| subject | comparison |
| ------- | ---------- |
| ELPA    |            |

#### 1234

##### term

1234

##### gpa

4

##### count

10

##### departments

| subject | comparison |
| ------- | ---------- |
| ELPA    |            |

#### 1264

##### term

1264

##### gpa

4

##### count

16

##### departments

| subject | comparison |
| ------- | ---------- |
| ELPA    |            |

### benchmarks

#### all

##### school

###### size

3365

###### gpa

3.69120845424117

###### top Share

83.88318085595236

###### count

102

##### ELPA

###### size

30

###### gpa

3.938357396495328

###### top Share

97.48243265043071

###### count

61.5

#### terms

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

## instructor Trends

```json
[
  {
    "uid": "instructor_82d5cc1cbb4d8982e20e1fff",
    "name": "CHRISTOPHER SALDANA",
    "count": 16,
    "terms": [
      {
        "term": "1264",
        "count": 16,
        "sections": 1,
        "gpa": 4
      }
    ]
  },
  {
    "uid": "instructor_04fe654ec128f7d5601e56e1",
    "name": "AR NELSON",
    "count": 15,
    "terms": [
      {
        "term": "1224",
        "count": 5,
        "sections": 1,
        "gpa": 4
      },
      {
        "term": "1234",
        "count": 10,
        "sections": 1,
        "gpa": 4
      }
    ]
  }
]
```

## following

None recorded.
