# COMPSCI/LIS 102: Introduction to Computing | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/COMPSCI_LIS_102)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

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### projection id

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### observed at

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### built at

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### current instructors

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false

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### term

1272

### departments

| subject   | count |
| --------- | ----- |
| AAE       | 90    |
| ABT       | 20    |
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| ANAT\&PHY | 7     |
| ANATOMY   | 2     |
| ANESTHES  | 8     |
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| ART       | 125   |
| ARTED     | 10    |
| ARTHIST   | 121   |
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| ATMOCN    | 69    |
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| C\&ESOC   | 73    |
| CBE       | 48    |
| CHEM      | 101   |
| CHICLA    | 52    |
| CIVENGR   | 133   |
| CLASSICS  | 47    |
| CNP       | 10    |
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| COMPBIO   | 15    |
| COMPLIT   | 11    |
| COMPSCI   | 138   |
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| DYSCI     | 35    |
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| ECON      | 145   |
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| EMERMED   | 17    |
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| FAMMED    | 22    |
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| FOLKLORE  | 40    |
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| 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    |
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| KINES     | 128   |
| LACIS     | 26    |
| LANDARC   | 61    |
| LATIN     | 24    |
| LAW       | 120   |
| LEGALST   | 48    |
| LINGUIS   | 35    |
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| 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

616fd4af4323ede993f2938cb05143e1f66826ab0bffd34d40c07c5ccc3dbeeb

### course id

COMPSCI/LIS 102

### course uid

course\_72fca04984de023263764214

### catalog version id

836f7b068732c666577e23d563857089781774f06b98335e7dd80c445247da3c

### course number

102

### subjects

* COMPSCI
* LIS

### title

INTRODUCTION TO COMPUTING

### description

Provides a broad overview of computing at an introductory level, including topics such as security, robotics, and artificial intelligence. Increases understanding of how computers work and how algorithms solve problems. Design and implement creative applications in an introductory coding environment. Provides a broad overview of computing and algorithms without an emphasis on programming.

### requirements text

MATH 96or placement intoMATH 141. MATH 118 does not fulfill the prerequisite. Not open to students with credit forCOMP SCI 300or320

### credits min

3

### credits max

3

### credit offering ids

* 1272:266:023191
* 1272:544:023191

### llm job id

enrich-b6d8f78c1be0d523cf09d00d

### llm output id

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### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

Introduction to Computing provides a broad overview of computing topics like security, robotics, and AI, and algorithmic problem solving.

### llm topics

* Security, robotics, and artificial intelligence
* Algorithms and problem solving

### llm skills

* Understanding algorithms and problem solving
* Creative application design in introductory coding

### llm assumed background

* Introductory computing concepts without programming emphasis
* Basic algebra or quantitative reasoning placement

### llm search phrases

* introductory computing overview
* algorithms problem solving
* computing security robotics AI
* no programming emphasis

### llm requirements status

needs\_review

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

4878923565e15f7e26f0af5bcec0e5f4bf2b9386aa4d73110283de307a5469a3

#### course id

COMPSCI/LIS 102

#### current instructors

```json
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    "message": null,
    "name": "Jeff Nyhoff",
    "review_status": "supported",
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    "summary": [
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            "instructor_name": "Jeff Nyhoff",
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            "instructor_name": "Jeff Nyhoff",
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        ],
        "text": "Jeff Nyhoff is frequently described as a chill and responsive professor. Reviewers note there are no quizzes or tests, as grading relies on lecture demos and homework. He also provides grace points to accommodate missed classes."
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        ],
        "text": "Some students criticize Nyhoff for arriving late to mandatory 8 a.m. sessions and enforcing a strict attendance policy. Others find his lectures rambling and disorganized, citing excessive busywork and irrelevant tangents. One reviewer reported he was dismissive when asked to post materials early."
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        ],
        "text": "Recent recorded grades — Spring 2025: 3.81 GPA, 88.6% A/AB (n=176 letter grades); Fall 2025: 3.93 GPA, 97.4% A/AB (n=195 letter grades); Spring 2026: 3.87 GPA, 94.3% A/AB (n=194 letter grades). Includes jointly taught sections."
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```

#### difficulty workload

The workload involves daily in-person attendance and completing assignments posted after lectures, often requiring students to bring fully charged computers. Some reviewers note that outside work can be long and that the Canvas page is disorganized.

```json
{
  "citations": [
    {
      "instructor_name": "Jeff Nyhoff",
      "review_date": "2025-02-21 03:38:48 +0000 UTC",
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      "source_instructor_id": "rmp:2840015",
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    {
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      "review_date": "2025-05-08 02:18:12 +0000 UTC",
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    }
  ]
}
```

#### errors

None recorded.

#### historical context

None recorded.

#### offered

true

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Jeff Nyhoff teaches a very easy course with no quizzes or tests, relying instead on lecture demos and homework. Reviewers describe the class as an easy pass, though some find the lecture-heavy format and his tendency to ramble annoying.

```json
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    {
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      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2840015",
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    {
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      "review_date": "2025-12-03 18:17:49 +0000 UTC",
      "review_id": "aa707da962c246fa25d903b3",
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}
```

Recent recorded grades — Spring 2025: 3.81 GPA, 88.6% A/AB (n=176 letter grades); Fall 2025: 3.93 GPA, 97.4% A/AB (n=195 letter grades); Spring 2026: 3.87 GPA, 94.3% A/AB (n=194 letter grades).

```json
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```

#### student experience

Students report frustration with Nyhoff's tardiness, disorganized Canvas page, and tendency to go off-topic during lectures. Conversely, others appreciate his kindness and fast response times when students are struggling with assignments.

```json
{
  "citations": [
    {
      "instructor_name": "Jeff Nyhoff",
      "review_date": "2024-12-10 17:22:08 +0000 UTC",
      "review_id": "44bf85f1858b7f540449e432",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2840015",
      "source_review_id": "UmF0aW5nLTQwMTk2MTUx",
      "source_url": "https://www.ratemyprofessors.com/professor/2840015",
      "type": "review"
    },
    {
      "instructor_name": "Jeff Nyhoff",
      "review_date": "2025-02-21 03:38:48 +0000 UTC",
      "review_id": "88d9701b8041c06f2035cf91",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2840015",
      "source_review_id": "UmF0aW5nLTQwNjk0MDkx",
      "source_url": "https://www.ratemyprofessors.com/professor/2840015",
      "type": "review"
    },
    {
      "instructor_name": "Jeff Nyhoff",
      "review_date": "2026-03-11 03:23:23 +0000 UTC",
      "review_id": "d6aae3d622d4154b579a3859",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2840015",
      "source_review_id": "UmF0aW5nLTQyNjg2Mzg2",
      "source_url": "https://www.ratemyprofessors.com/professor/2840015",
      "type": "review"
    },
    {
      "instructor_name": "Jeff Nyhoff",
      "review_date": "2026-04-24 04:49:12 +0000 UTC",
      "review_id": "be1b58043c2aaa6ab5d83029",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2840015",
      "source_review_id": "UmF0aW5nLTQyOTIxODMy",
      "source_url": "https://www.ratemyprofessors.com/professor/2840015",
      "type": "review"
    }
  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

JEFF NYHOFF is recorded teaching in Fall 2023, Spring 2024, Fall 2024, Spring 2025, Fall 2025, Spring 2026. Recorded history may be incomplete and does not establish a future schedule.

```json
{
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      },
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      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
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      "n1",
      "n2"
    ],
    "condition": null,
    "course": null,
    "evidence": "MATH 96or placement intoMATH 141. MATH 118 does not fulfill the prerequisite. Not open to students with credit forCOMP SCI 300or320",
    "id": "n0",
    "kind": "all"
  },
  {
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      "n4",
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    "condition": null,
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    "evidence": "MATH 96or placement intoMATH 141. MATH 118 does not fulfill the prerequisite.",
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    "course": null,
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    "kind": "not"
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    "kind": "course"
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    "condition": "placement intoMATH 141",
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    "evidence": "COMP SCI 300or320",
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    },
    "evidence": "COMP SCI 300",
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    "evidence": "320",
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    "kind": "course"
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  {
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    "condition": "MATH 118",
    "course": null,
    "evidence": "MATH 118",
    "id": "n8",
    "kind": "condition"
  }
]
```

#### notes

* MATH 118 preserved as verbatim condition node per validation instructions.
* Global exclusion applied via 'not' node under root.

#### root

n0

#### status

needs\_review

### instructors

```json
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```

### offerings

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```

### sections

```json
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]
```

### grade instructors

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]
```

### grades

```json
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    "bc": 4,
    "c": 2,
    "d": 0,
    "f": 2,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 119,
    "source_aliases": [
      "COMPSCI/LIS 102"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMPSCI/LIS 102",
    "course_uid": "course_72fca04984de023263764214",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "AMY WANG",
      "Jeff Nyhoff"
    ],
    "a": 58,
    "ab": 13,
    "b": 5,
    "bc": 2,
    "c": 0,
    "d": 1,
    "f": 3,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 82,
    "source_aliases": [
      "COMPSCI/LIS 102"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMPSCI/LIS 102",
    "course_uid": "course_72fca04984de023263764214",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "Jeff Nyhoff"
    ],
    "a": 87,
    "ab": 9,
    "b": 6,
    "bc": 3,
    "c": 1,
    "d": 1,
    "f": 2,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 109,
    "source_aliases": [
      "COMPSCI/LIS 102"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMPSCI/LIS 102",
    "course_uid": "course_72fca04984de023263764214",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Jeff Nyhoff"
    ],
    "a": 149,
    "ab": 7,
    "b": 12,
    "bc": 2,
    "c": 4,
    "d": 1,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 176,
    "source_aliases": [
      "COMPSCI/LIS 102"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMPSCI/LIS 102",
    "course_uid": "course_72fca04984de023263764214",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "AJIL JOSEPH",
      "Jeff Nyhoff"
    ],
    "a": 183,
    "ab": 7,
    "b": 1,
    "bc": 2,
    "c": 1,
    "d": 0,
    "f": 1,
    "satisfactory": 2,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 197,
    "source_aliases": [
      "COMPSCI/LIS 102"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "COMPSCI/LIS 102",
    "course_uid": "course_72fca04984de023263764214",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "Jeff Nyhoff"
    ],
    "a": 170,
    "ab": 13,
    "b": 0,
    "bc": 9,
    "c": 1,
    "d": 0,
    "f": 1,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 194,
    "source_aliases": [
      "COMPSCI/LIS 102"
    ]
  }
]
```

### statistics

#### gpa

3.82

#### graded

875

#### counts

* 745
* 57
* 29
* 22
* 9
* 3
* 10

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_72fca04984de023263764214-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_72fca04984de023263764214-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_72fca04984de023263764214-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_72fca04984de023263764214-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_72fca04984de023263764214-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_72fca04984de023263764214-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_72fca04984de023263764214-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_72fca04984de023263764214-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_72fca04984de023263764214-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_72fca04984de023263764214-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.82

#### count

875

#### university

##### size

3801

##### gpa Percentile

59

##### count Percentile

94

##### median Count

100

##### 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 | 12    | false   |
| 2.8–3.2 | 209   | false   |
| 3.2–3.6 | 936   | false   |
| 3.6–4.0 | 2644  | true    |

#### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 97,
      "gpaPercentile": 68,
      "countPercentile": 81,
      "medianCount": 149,
      "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": 11,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 33,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 53,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "LIS",
    "comparison": {
      "size": 54,
      "gpaPercentile": 36,
      "countPercentile": 94,
      "medianCount": 146.5,
      "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": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 6,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 47,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1242

##### term

1242

##### gpa

3.773109243697479

##### count

119

##### university

###### size

1295

###### gpa Percentile

64

###### count Percentile

74

###### median Count

67

###### 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 | 2     | false   |
| 2.4–2.8 | 11    | false   |
| 2.8–3.2 | 162   | false   |
| 3.2–3.6 | 394   | false   |
| 3.6–4.0 | 726   | true    |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 52,
      "gpaPercentile": 69,
      "countPercentile": 57,
      "medianCount": 99,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 9,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 20,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 22,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "LIS",
    "comparison": {
      "size": 21,
      "gpaPercentile": 40,
      "countPercentile": 80,
      "medianCount": 71,
      "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": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 2,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 18,
          "current": true
        }
      ]
    }
  }
]
```

#### 1244

##### term

1244

##### gpa

3.6402439024390243

##### count

82

##### university

###### size

1241

###### gpa Percentile

48

###### count Percentile

60

###### median Count

65

###### 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 | 2     | false   |
| 2.4–2.8 | 9     | false   |
| 2.8–3.2 | 151   | false   |
| 3.2–3.6 | 373   | false   |
| 3.6–4.0 | 706   | true    |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 46,
      "gpaPercentile": 64,
      "countPercentile": 29,
      "medianCount": 116,
      "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": 11,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 17,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 18,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "LIS",
    "comparison": {
      "size": 23,
      "gpaPercentile": 14,
      "countPercentile": 64,
      "medianCount": 43,
      "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": 1,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 1,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 21,
          "current": true
        }
      ]
    }
  }
]
```

#### 1252

##### term

1252

##### gpa

3.743119266055046

##### count

109

##### university

###### size

1333

###### gpa Percentile

58

###### count Percentile

70

###### median Count

69

###### 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 | 14    | false   |
| 2.8–3.2 | 115   | false   |
| 3.2–3.6 | 431   | false   |
| 3.6–4.0 | 773   | true    |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 54,
      "gpaPercentile": 66,
      "countPercentile": 57,
      "medianCount": 101,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 23,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 22,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "LIS",
    "comparison": {
      "size": 22,
      "gpaPercentile": 33,
      "countPercentile": 81,
      "medianCount": 64,
      "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": 2,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 20,
          "current": true
        }
      ]
    }
  }
]
```

#### 1254

##### term

1254

##### gpa

3.809659090909091

##### count

176

##### university

###### size

1289

###### gpa Percentile

68

###### count Percentile

85

###### median Count

66

###### 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 | 17    | false   |
| 2.8–3.2 | 128   | false   |
| 3.2–3.6 | 379   | false   |
| 3.6–4.0 | 765   | true    |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 52,
      "gpaPercentile": 84,
      "countPercentile": 69,
      "medianCount": 105,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 10,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 24,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "LIS",
    "comparison": {
      "size": 22,
      "gpaPercentile": 62,
      "countPercentile": 90,
      "medianCount": 71.5,
      "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": 3,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 19,
          "current": true
        }
      ]
    }
  }
]
```

#### 1262

##### term

1262

##### gpa

3.9307692307692306

##### count

195

##### university

###### size

1320

###### gpa Percentile

84

###### count Percentile

86

###### median Count

70

###### 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 | 1     | false   |
| 2.4–2.8 | 8     | false   |
| 2.8–3.2 | 133   | false   |
| 3.2–3.6 | 381   | false   |
| 3.6–4.0 | 797   | true    |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 53,
      "gpaPercentile": 85,
      "countPercentile": 67,
      "medianCount": 82,
      "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": 10,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 22,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 21,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "LIS",
    "comparison": {
      "size": 22,
      "gpaPercentile": 76,
      "countPercentile": 90,
      "medianCount": 89.5,
      "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": 5,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 17,
          "current": true
        }
      ]
    }
  }
]
```

#### 1264

##### term

1264

##### gpa

3.865979381443299

##### count

194

##### university

###### size

1283

###### gpa Percentile

73

###### count Percentile

87

###### median Count

66

###### 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 | 1     | false   |
| 2.4–2.8 | 20    | false   |
| 2.8–3.2 | 130   | false   |
| 3.2–3.6 | 343   | false   |
| 3.6–4.0 | 789   | true    |

##### departments

```json
[
  {
    "subject": "COMPSCI",
    "comparison": {
      "size": 48,
      "gpaPercentile": 83,
      "countPercentile": 66,
      "medianCount": 105.5,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 7,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 21,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 19,
          "current": true
        }
      ]
    }
  },
  {
    "subject": "LIS",
    "comparison": {
      "size": 26,
      "gpaPercentile": 64,
      "countPercentile": 88,
      "medianCount": 68.5,
      "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": 4,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 22,
          "current": true
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

3801

###### gpa

3.6947140786559496

###### top Share

84.06396268479713

###### count

100

##### COMPSCI

###### size

97

###### gpa

3.606118116054628

###### top Share

79.5006363584558

###### count

149

##### LIS

###### size

54

###### gpa

3.8118963459457387

###### top Share

91.53315004990223

###### count

146.5

#### terms

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

###### COMPSCI

###### size

52

###### gpa

3.5206188715369935

###### top Share

74.2043106737207

###### count

99

###### LIS

###### size

21

###### gpa

3.7798109571537672

###### top Share

89.96354041118646

###### count

71

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### COMPSCI

###### size

46

###### gpa

3.477413782571094

###### top Share

70.8725394264854

###### count

116

###### LIS

###### size

23

###### gpa

3.7785046032731033

###### top Share

90.26192741317158

###### count

43

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

###### COMPSCI

###### size

54

###### gpa

3.5244021201456657

###### top Share

75.07938169795783

###### count

101

###### LIS

###### size

22

###### gpa

3.812010001587644

###### top Share

91.12079947643103

###### count

64

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### COMPSCI

###### size

52

###### gpa

3.482652727664103

###### top Share

71.33786483648515

###### count

105

###### LIS

###### size

22

###### gpa

3.7638187275898236

###### top Share

89.4253626336275

###### count

71.5

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### COMPSCI

###### size

53

###### gpa

3.533845597774486

###### top Share

75.31824598445624

###### count

82

###### LIS

###### size

22

###### gpa

3.7696395303678063

###### top Share

89.8756587241882

###### count

89.5

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### COMPSCI

###### size

48

###### gpa

3.5022746140005943

###### top Share

73.13318776233326

###### count

105.5

###### LIS

###### size

26

###### gpa

3.7763648214424603

###### top Share

89.64354345968482

###### count

68.5

## instructor Trends

```json
[
  {
    "uid": "instructor_16a2cf427f1a74aaf5b583cd",
    "name": "JEFF NYHOFF",
    "count": 875,
    "terms": [
      {
        "term": "1242",
        "count": 119,
        "sections": 4,
        "gpa": 3.773109243697479
      },
      {
        "term": "1244",
        "count": 82,
        "sections": 2,
        "gpa": 3.6402439024390243
      },
      {
        "term": "1252",
        "count": 109,
        "sections": 2,
        "gpa": 3.743119266055046
      },
      {
        "term": "1254",
        "count": 176,
        "sections": 1,
        "gpa": 3.809659090909091
      },
      {
        "term": "1262",
        "count": 195,
        "sections": 1,
        "gpa": 3.9307692307692306
      },
      {
        "term": "1264",
        "count": 194,
        "sections": 1,
        "gpa": 3.865979381443299
      }
    ]
  },
  {
    "uid": "instructor_10862c38b85a510c33365756",
    "name": "AMY WANG",
    "count": 201,
    "terms": [
      {
        "term": "1242",
        "count": 119,
        "sections": 4,
        "gpa": 3.773109243697479
      },
      {
        "term": "1244",
        "count": 82,
        "sections": 2,
        "gpa": 3.6402439024390243
      }
    ]
  },
  {
    "uid": "instructor_ea8a3f4b2e9ea5a86f33909c",
    "name": "AJIL JOSEPH",
    "count": 195,
    "terms": [
      {
        "term": "1262",
        "count": 195,
        "sections": 1,
        "gpa": 3.9307692307692306
      }
    ]
  },
  {
    "uid": "instructor_c533587610dae007b98ca4ab",
    "name": "DEV KHETAN",
    "count": 119,
    "terms": [
      {
        "term": "1242",
        "count": 119,
        "sections": 4,
        "gpa": 3.773109243697479
      }
    ]
  }
]
```

## following

None recorded.

## projection

### target

1272

### gpa

3.8278912129424802

### grades

| grade | percentage          |
| ----- | ------------------- |
| A     | 86.23165869191364   |
| AB    | 5.941708682501194   |
| B     | 3.1170351917390393  |
| BC    | 2.2044001607491914  |
| C     | 0.9518015242007349  |
| D     | 0.30079711234772144 |
| F     | 1.2525986365484565  |

### source Terms

* 1262
* 1252
* 1242

### source Count

423

### same Season

true

### historical Range

* 3.743119266055046
* 3.9307692307692306
