# STAT 303: R for Statistics I | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/STAT_303)

## Dataset

### revision

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## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

a9def072bdd2e5845ed03c90492d2f26db6a23eed03f83627d1001969e26c52e

### course id

STAT 303

### course uid

course\_9d705456a9a3f278c1b60cc6

### catalog version id

57ff2a8be76de00de104fada8425798a0cbd45f2782a88f91e77d7d80db22f7f

### course number

303

### subjects

* STAT

### title

R FOR STATISTICS I

### description

An understanding of the commonly used statistical language R. Topics will include using R to manipulate data and perform exploratory data analysis.

### requirements text

STAT 240,301, 302,312,324,371,MATH/​STAT  310,ECON 310, GEN BUS 303, 304,306,307,317,PSYCH 210,B M E 325,I SY E 210,SOC/​C\&E SOC  360, graduate/professional standing, or declared in Statistics VISP

### credits min

1

### credits max

1

### credit offering ids

* 1272:932:025055

### llm job 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

STAT 303 teaches using the R language to manipulate data and perform exploratory data analysis.

### llm topics

* Data manipulation and exploratory data analysis.

### llm skills

* Data manipulation and exploratory data analysis using R.

### llm assumed background

* Familiarity with the R programming language for data manipulation and analysis.

### llm search phrases

* STAT 303 R statistics
* R for statistics I prerequisites
* STAT 303 data analysis

### llm requirements status

needs\_review

### llm student summary status

valid

### llm experience status

insufficient\_evidence

### catalog variants

None recorded.

### student summary

#### context hash

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#### course id

STAT 303

#### current instructors

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        ],
        "text": "John Gillett is praised for accessible online lectures, proactive assistance, and helpful explanations of R applications. Reviewers note his willingness to answer questions and support students with minimal CS experience."
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        "text": "Some students report difficulty hearing recorded lectures and finding examples hard to replicate. This reviewer also notes a hands-off grading style and challenges in applying examples to different contexts."
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            "source_record": {
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              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1252",
            "type": "grade"
          },
          {
            "course_id": "STAT 303",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 2,
            "source_course_id": "b44fc5f6-5217-3e0a-948e-79476de38bbf",
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            "table": "section_grades_latest",
            "term_id": "1252",
            "type": "grade"
          },
          {
            "course_id": "STAT 303",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "b44fc5f6-5217-3e0a-948e-79476de38bbf",
            "source_record": {
              "entity_id": "b44fc5f6-5217-3e0a-948e-79476de38bbf",
              "file": "tables/observations.parquet",
              "kind": "grades",
              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1262",
            "type": "grade"
          },
          {
            "course_id": "STAT 303",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 1,
            "source_course_id": "b44fc5f6-5217-3e0a-948e-79476de38bbf",
            "source_record": {
              "entity_id": "b44fc5f6-5217-3e0a-948e-79476de38bbf",
              "file": "tables/observations.parquet",
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              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1264",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Fall 2024: 3.46 GPA, 69.4% A/AB (n=36 letter grades); Fall 2025: 3.47 GPA, 72.7% A/AB (n=33 letter grades); Spring 2026: 3.72 GPA, 90.0% A/AB (n=30 letter grades). Includes jointly taught sections."
      }
    ]
  },
  {
    "instructor_uid": "instructor_05c51e51dfbeab703c25aeaf",
    "message": "No course-specific reviews available",
    "name": "Ming Pei",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": []
  },
  {
    "instructor_uid": "instructor_f0cd815c302d74748eeeee6d",
    "message": "No course-specific reviews available",
    "name": "Zhifeng Chen",
    "review_status": "no_course_reviews",
    "rmp_instructor_id": null,
    "summary": [
      {
        "citations": [
          {
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            "section_number": 1,
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          {
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            },
            "table": "section_grades_latest",
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            "type": "grade"
          },
          {
            "course_id": "STAT 303",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 3,
            "source_course_id": "b44fc5f6-5217-3e0a-948e-79476de38bbf",
            "source_record": {
              "entity_id": "b44fc5f6-5217-3e0a-948e-79476de38bbf",
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            },
            "table": "section_grades_latest",
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            "type": "grade"
          },
          {
            "course_id": "STAT 303",
            "run_id": "20260907T155543-ce3781c4",
            "section_number": 5,
            "source_course_id": "b44fc5f6-5217-3e0a-948e-79476de38bbf",
            "source_record": {
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              "source": "madgrades"
            },
            "table": "section_grades_latest",
            "term_id": "1264",
            "type": "grade"
          }
        ],
        "text": "Recent recorded grades — Spring 2025: 3.83 GPA, 92.9% A/AB (n=127 letter grades); Fall 2025: 3.94 GPA, 96.2% A/AB (n=160 letter grades); Spring 2026: 3.95 GPA, 97.5% A/AB (n=161 letter grades). Includes jointly taught sections."
      }
    ]
  }
]
```

#### difficulty workload

The course involves multiple quizzes, homework assignments, and an exam, with reviewers noting the workload is substantial despite the straightforward nature of the tasks.

```json
{
  "citations": [
    {
      "instructor_name": "Bo Yang",
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      "source_url": "https://www.ratemyprofessors.com/professor/2107418",
      "type": "review"
    },
    {
      "instructor_name": "John Gillett",
      "review_date": "2021-08-06 16:00:33 +0000 UTC",
      "review_id": "91430a1c0e58979452ff0122",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1567077",
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      "source_url": "https://www.ratemyprofessors.com/professor/1567077",
      "type": "review"
    },
    {
      "instructor_name": "John Gillett",
      "review_date": "2024-06-14 21:38:51 +0000 UTC",
      "review_id": "4bdec4b284dae4c8968e466e",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1567077",
      "source_review_id": "UmF0aW5nLTM5NTcyNjkz",
      "source_url": "https://www.ratemyprofessors.com/professor/1567077",
      "type": "review"
    }
  ]
}
```

#### errors

None recorded.

#### historical context

Historical reviews of Alexander Covington: Alexander Covington's course relies on self-learning via online videos, with exams covering extensive details from homework. Reviewers report extremely high workload, tough grading, and a lack of homework solutions or feedback, leading some to avoid subsequent courses.

```json
{
  "citations": [
    {
      "instructor_name": "Alexander Covington",
      "review_date": "2020-10-02 09:58:31 +0000 UTC",
      "review_id": "3894215b5148ea7fefc36e3e",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2489613",
      "source_review_id": "UmF0aW5nLTMzNjc0NjQ1",
      "source_url": "https://www.ratemyprofessors.com/professor/2489613",
      "type": "review"
    },
    {
      "instructor_name": "Alexander Covington",
      "review_date": "2020-10-04 22:03:17 +0000 UTC",
      "review_id": "add386fb61fd3c96502c9600",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2489613",
      "source_review_id": "UmF0aW5nLTMzNjc3ODAy",
      "source_url": "https://www.ratemyprofessors.com/professor/2489613",
      "type": "review"
    },
    {
      "instructor_name": "Alexander Covington",
      "review_date": "2020-10-04 22:16:30 +0000 UTC",
      "review_id": "8b010b29b755a83f8f4f7a0f",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2489613",
      "source_review_id": "UmF0aW5nLTMzNjc3ODMw",
      "source_url": "https://www.ratemyprofessors.com/professor/2489613",
      "type": "review"
    }
  ]
}
```

#### offered

true

#### profile hash

5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02

#### quick take

John Gillett receives high praise for clear explanations, accessible support, and well-structured online materials, making the course manageable even for students with minimal coding experience.

```json
{
  "citations": [
    {
      "instructor_name": "John Gillett",
      "review_date": "2020-05-28 02:07:06 +0000 UTC",
      "review_id": "b4c3b01cc6fa6104d1e10e45",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1567077",
      "source_review_id": "UmF0aW5nLTMzMzgwMDE1",
      "source_url": "https://www.ratemyprofessors.com/professor/1567077",
      "type": "review"
    },
    {
      "instructor_name": "John Gillett",
      "review_date": "2022-03-31 03:30:28 +0000 UTC",
      "review_id": "c30c087b50e941d17a5503ac",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1567077",
      "source_review_id": "UmF0aW5nLTM2MDAwMjQ5",
      "source_url": "https://www.ratemyprofessors.com/professor/1567077",
      "type": "review"
    },
    {
      "instructor_name": "John Gillett",
      "review_date": "2024-07-02 14:15:14 +0000 UTC",
      "review_id": "f0528c77bcfcf630a815db8f",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:1567077",
      "source_review_id": "UmF0aW5nLTM5NjA1MzIy",
      "source_url": "https://www.ratemyprofessors.com/professor/1567077",
      "type": "review"
    }
  ]
}
```

Recent recorded grades — Spring 2025: 3.83 GPA, 92.9% A/AB (n=127 letter grades); Fall 2025: 3.86 GPA, 92.2% A/AB (n=193 letter grades); Spring 2026: 3.91 GPA, 96.3% A/AB (n=191 letter grades).

```json
{
  "citations": [
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      },
      "table": "grades_latest",
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        "file": "tables/observations.parquet",
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        "source": "madgrades"
      },
      "table": "grades_latest",
      "term_id": "1264",
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    }
  ]
}
```

#### student experience

Bo Yang is frequently criticized for poor lecture quality, lack of accessibility, and dismissive communication, forcing students to rely heavily on self-study and external resources to succeed.

```json
{
  "citations": [
    {
      "instructor_name": "Bo Yang",
      "review_date": "2019-10-23 17:27:30 +0000 UTC",
      "review_id": "7f851a190730e2c8de0221f9",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2107418",
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    },
    {
      "instructor_name": "Bo Yang",
      "review_date": "2021-11-01 17:27:44 +0000 UTC",
      "review_id": "fefe1877cdea0b8d7e1d3561",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2107418",
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      "type": "review"
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    {
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      "review_date": "2022-10-05 18:07:43 +0000 UTC",
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      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2107418",
      "source_review_id": "UmF0aW5nLTM2Njc5Nzk2",
      "source_url": "https://www.ratemyprofessors.com/professor/2107418",
      "type": "review"
    },
    {
      "instructor_name": "Bo Yang",
      "review_date": "2025-03-12 17:45:46 +0000 UTC",
      "review_id": "9e63c67807009c1388fb5c05",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2107418",
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      "source_url": "https://www.ratemyprofessors.com/professor/2107418",
      "type": "review"
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  ]
}
```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

ALEXANDER COVINGTON is recorded teaching in Fall 2019, Fall 2020. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "STAT 303",
      "run_id": "20260907T155543-ce3781c4",
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      "term_id": "1202",
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      "section_number": 2,
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      },
      "table": "section_grades_latest",
      "term_id": "1212",
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    }
  ]
}
```

BO YANG is recorded teaching in Fall 2019, Spring 2020, Fall 2020, Fall 2021, Spring 2022, Fall 2022, Spring 2023, 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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      "section_number": 1,
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      "source_record": {
        "entity_id": "b44fc5f6-5217-3e0a-948e-79476de38bbf",
        "file": "tables/observations.parquet",
        "kind": "grades",
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      },
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```

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

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      "table": "section_grades_latest",
      "term_id": "1264",
      "type": "grade"
    }
  ]
}
```

ZHIFENG CHEN is recorded teaching in 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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}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

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        "C&ESOC",
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      "timing": "prior"
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    "evidence": "SOC/C&E SOC 360",
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    "condition": "graduate/professional standing",
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    "id": "n18",
    "kind": "condition"
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    "condition": "declared in Statistics VISP",
    "course": null,
    "evidence": "declared in Statistics VISP",
    "id": "n19",
    "kind": "condition"
  }
]
```

#### notes

* Requirement parsed from text.

#### root

n0

#### status

needs\_review

### instructors

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      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:51:41.195101+00:00",
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    "instructor_url": "/instructors/MING_PEI"
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    "instructor_url": "/instructors/ZHIFENG_CHEN"
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]
```

### offerings

```json
[
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    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:932:025055",
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    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1272",
    "source_course_id": "025055",
    "source_subject_id": "932",
    "title": "R for Statistics I",
    "credits_min": 1,
    "credits_max": 1,
    "typically_offered": "Fall, Spring"
  }
]
```

### sections

```json
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    "term_id": "1272",
    "source_section_id": "20184",
    "identity_basis": "class_number",
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    "instruction_mode": "Classroom Instruction",
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    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-10-04 05:00:00+00:00"
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    "identity_basis": "class_number",
    "section_number": "002",
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    "instruction_mode": "Classroom Instruction",
    "capacity": 3,
    "enrolled": 3,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-10-04 05:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:22391",
    "term_id": "1272",
    "source_section_id": "22391",
    "identity_basis": "class_number",
    "section_number": "003",
    "section_type": "LEC",
    "instruction_mode": "Online Only",
    "capacity": 86,
    "enrolled": 84,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-10-04 05:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:22575",
    "term_id": "1272",
    "source_section_id": "22575",
    "identity_basis": "class_number",
    "section_number": "004",
    "section_type": "LEC",
    "instruction_mode": "Online Only",
    "capacity": 10,
    "enrolled": 3,
    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-10-04 05:00:00+00:00"
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:32331",
    "term_id": "1272",
    "source_section_id": "32331",
    "identity_basis": "class_number",
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    "instruction_mode": "Online Only",
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    "waitlisted": 0,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-10-04 05:00:00+00:00"
  }
]
```

### grade instructors

```json
[
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    "source": "madgrades",
    "source_instructor_id": "5656034",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "ALEXANDER COVINGTON",
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
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      "source_url": "https://www.ratemyprofessors.com/professor/2489613",
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    "instructor_url": "/instructors/ALEXANDER_COVINGTON"
  },
  {
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    "source": "madgrades",
    "source_instructor_id": "5694563",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "BEHZAD AALIPUR HAFSHEJANI",
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
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    },
    "instructor_url": "/instructors/BEHZAD_AALIPUR_HAFSHEJANI"
  },
  {
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    "source": "madgrades",
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    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "DEREK BEAN",
    "email": null,
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      "source_url": "https://www.ratemyprofessors.com/professor/2158238",
      "match_basis": "exact_name",
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    "instructor_url": "/instructors/DEREK_BEAN--instructor_776a80367ac941071d85ded3"
  },
  {
    "instructor_uid": "instructor_a10182c6e5241212aadf03e5",
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    "source_instructor_id": "5632570",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "BO YANG",
    "email": null,
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
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      "source_url": "https://www.ratemyprofessors.com/professor/2107418",
      "match_basis": "exact_name",
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    "source_instructor_id": "5690247",
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    "identity_status": "source_identified",
    "name": "BOWEN HU",
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  },
  {
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  },
  {
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    "name": "HONGZHI LIU",
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  {
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    "name": "ZHUOYAN XU",
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    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "grade_statistics": {
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  },
  {
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    "identity_status": "source_identified",
    "name": "PO-KUEI CHEN",
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    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
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    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "John Gillett",
    "email": "JGILLETT@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
      "review_count": 67,
      "quality": 4.39,
      "difficulty": 2.66,
      "quality_count": 67,
      "difficulty_count": 67,
      "profile_id": "rmp:1567077",
      "source_url": "https://www.ratemyprofessors.com/professor/1567077",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:31:37.860973+00:00",
      "courses": {
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          "difficulty": 2.92,
          "quality_count": 12,
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        },
        "course_a420e635de610c245d2c3002": {
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        "course_31fb5b7b6bf20ca63e33bd46": {
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          "difficulty": 2.81,
          "quality_count": 21,
          "difficulty_count": 21
        },
        "course_9d705456a9a3f278c1b60cc6": {
          "review_count": 5,
          "quality": 4.8,
          "difficulty": 3,
          "quality_count": 5,
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        "course_06abb97e9793bf858754daa3": {
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        "course_1282dc8dbc1e7c5749f7cc41": {
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      },
      "bayesian_quality": 4.222111674378527,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/JOHN_GILLETT"
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  {
    "instructor_uid": "instructor_549402aaa3fc02311c4c262e",
    "source": "enrollment",
    "source_instructor_id": "byang76",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Bo Yang",
    "email": "BYANG76@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "ratings": {
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      "quality_count": 56,
      "difficulty_count": 56,
      "profile_id": "rmp:2107418",
      "source_url": "https://www.ratemyprofessors.com/professor/2107418",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:51:41.195101+00:00",
      "courses": {
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    },
    "instructor_url": "/instructors/BO_YANG"
  },
  {
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    "identity_status": "source_identified",
    "name": "Zhifeng Chen",
    "email": "ZCHEN925@WISC.EDU",
    "first_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "instructor_url": "/instructors/ZHIFENG_CHEN"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1202",
    "term_name": "Fall 2019",
    "instructors": [
      "ALEXANDER COVINGTON",
      "BEHZAD AALIPUR HAFSHEJANI",
      "BOWEN HU",
      "Bo Yang",
      "Derek Bean",
      "Siming Li"
    ],
    "a": 123,
    "ab": 20,
    "b": 18,
    "bc": 7,
    "c": 5,
    "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": 174,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1204",
    "term_name": "Spring 2020",
    "instructors": [
      "Bo Yang",
      "HONGZHI LIU"
    ],
    "a": 47,
    "ab": 13,
    "b": 12,
    "bc": 3,
    "c": 1,
    "d": 2,
    "f": 0,
    "satisfactory": 16,
    "unsatisfactory": 1,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 95,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1212",
    "term_name": "Fall 2020",
    "instructors": [
      "ALEXANDER COVINGTON",
      "BOWEN HU",
      "Bo Yang"
    ],
    "a": 45,
    "ab": 21,
    "b": 22,
    "bc": 9,
    "c": 10,
    "d": 1,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 1,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 109,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1222",
    "term_name": "Fall 2021",
    "instructors": [
      "Bo Yang",
      "ZHUOYAN XU"
    ],
    "a": 70,
    "ab": 10,
    "b": 5,
    "bc": 4,
    "c": 4,
    "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": 93,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1224",
    "term_name": "Spring 2022",
    "instructors": [
      "Bo Yang",
      "PO-KUEI CHEN"
    ],
    "a": 66,
    "ab": 11,
    "b": 23,
    "bc": 3,
    "c": 1,
    "d": 0,
    "f": 2,
    "satisfactory": 5,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 111,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1232",
    "term_name": "Fall 2022",
    "instructors": [
      "Bo Yang",
      "ZHONGLING LIAO"
    ],
    "a": 58,
    "ab": 9,
    "b": 19,
    "bc": 4,
    "c": 6,
    "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": 97,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1234",
    "term_name": "Spring 2023",
    "instructors": [
      "Bo Yang",
      "NURSULTAN AZHIMURATOV"
    ],
    "a": 86,
    "ab": 17,
    "b": 11,
    "bc": 4,
    "c": 3,
    "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": 121,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1242",
    "term_name": "Fall 2023",
    "instructors": [
      "Bo Yang",
      "NURSULTAN AZHIMURATOV"
    ],
    "a": 102,
    "ab": 1,
    "b": 5,
    "bc": 0,
    "c": 3,
    "d": 2,
    "f": 0,
    "satisfactory": 2,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 115,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1244",
    "term_name": "Spring 2024",
    "instructors": [
      "Bo Yang",
      "NURSULTAN AZHIMURATOV"
    ],
    "a": 90,
    "ab": 16,
    "b": 9,
    "bc": 1,
    "c": 1,
    "d": 0,
    "f": 1,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
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    "not_reported": 0,
    "other": 0,
    "total": 119,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "Bo Yang",
      "John Gillett",
      "Zhifeng Chen"
    ],
    "a": 82,
    "ab": 14,
    "b": 8,
    "bc": 4,
    "c": 0,
    "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": 111,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Bo Yang",
      "Zhifeng Chen"
    ],
    "a": 108,
    "ab": 10,
    "b": 5,
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    "c": 1,
    "d": 2,
    "f": 1,
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    "unsatisfactory": 0,
    "credit": 0,
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    "passed": 0,
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    "other": 0,
    "total": 128,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Bo Yang",
      "John Gillett",
      "SIXU LI",
      "Zhifeng Chen"
    ],
    "a": 165,
    "ab": 13,
    "b": 10,
    "bc": 2,
    "c": 1,
    "d": 2,
    "f": 0,
    "satisfactory": 1,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 194,
    "source_aliases": [
      "STAT 303"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "STAT 303",
    "course_uid": "course_9d705456a9a3f278c1b60cc6",
    "term_id": "1264",
    "term_name": "Spring 2026",
    "instructors": [
      "ALEJANDRO CALLE-SALDARRIAGA",
      "Bo Yang",
      "John Gillett",
      "Zhifeng Chen"
    ],
    "a": 171,
    "ab": 13,
    "b": 3,
    "bc": 2,
    "c": 2,
    "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": 191,
    "source_aliases": [
      "STAT 303"
    ]
  }
]
```

### statistics

#### gpa

3.736

#### graded

1628

#### counts

* 1213
* 168
* 150
* 43
* 38
* 9
* 7

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_9d705456a9a3f278c1b60cc6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_9d705456a9a3f278c1b60cc6-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_9d705456a9a3f278c1b60cc6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_9d705456a9a3f278c1b60cc6-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_9d705456a9a3f278c1b60cc6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_9d705456a9a3f278c1b60cc6-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_9d705456a9a3f278c1b60cc6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_9d705456a9a3f278c1b60cc6-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_9d705456a9a3f278c1b60cc6-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_9d705456a9a3f278c1b60cc6-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.736179361179361

#### count

1628

#### university

##### size

4772

##### gpa Percentile

45

##### count Percentile

95

##### median Count

140

##### 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 | 9     | false   |
| 2.8–3.2 | 229   | false   |
| 3.2–3.6 | 1135  | false   |
| 3.6–4.0 | 3399  | true    |

#### departments

```json
[
  {
    "subject": "STAT",
    "comparison": {
      "size": 74,
      "gpaPercentile": 64,
      "countPercentile": 92,
      "medianCount": 210,
      "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": 7,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 32,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 35,
          "current": true
        }
      ]
    }
  }
]
```

### terms

#### 1202

##### term

1202

##### gpa

3.6982758620689653

##### count

174

##### university

###### size

1102

###### gpa Percentile

65

###### count Percentile

85

###### median Count

68

###### 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 | 14    | false   |
| 2.8–3.2 | 218   | false   |
| 3.2–3.6 | 371   | false   |
| 3.6–4.0 | 498   | true    |

##### departments

```json
[
  {
    "subject": "STAT",
    "comparison": {
      "size": 30,
      "gpaPercentile": 79,
      "countPercentile": 90,
      "medianCount": 80.5,
      "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": 10,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 11,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 9,
          "current": true
        }
      ]
    }
  }
]
```

#### 1204

##### term

1204

##### gpa

3.6025641025641026

##### count

78

##### university

###### size

1012

###### gpa Percentile

33

###### count Percentile

59

###### median Count

65.5

###### 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 | 1     | false   |
| 2.8–3.2 | 25    | false   |
| 3.2–3.6 | 301   | false   |
| 3.6–4.0 | 685   | true    |

##### departments

```json
[
  {
    "subject": "STAT",
    "comparison": {
      "size": 27,
      "gpaPercentile": 42,
      "countPercentile": 69,
      "medianCount": 56,
      "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": 11,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 16,
          "current": true
        }
      ]
    }
  }
]
```

#### 1212

##### term

1212

##### gpa

3.361111111111111

##### count

108

##### university

###### size

1111

###### gpa Percentile

24

###### count Percentile

71

###### median Count

68

###### 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 | 4     | false   |
| 2.8–3.2 | 159   | false   |
| 3.2–3.6 | 337   | true    |
| 3.6–4.0 | 611   | false   |

##### departments

```json
[
  {
    "subject": "STAT",
    "comparison": {
      "size": 25,
      "gpaPercentile": 42,
      "countPercentile": 58,
      "medianCount": 100,
      "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": 7,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 10,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

#### 1222

##### term

1222

##### gpa

3.7419354838709675

##### count

93

##### university

###### size

1157

###### gpa Percentile

63

###### count Percentile

64

###### median Count

64

###### 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 | 17    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 351   | false   |
| 3.6–4.0 | 614   | true    |

##### departments

```json
[
  {
    "subject": "STAT",
    "comparison": {
      "size": 32,
      "gpaPercentile": 68,
      "countPercentile": 68,
      "medianCount": 55.5,
      "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": 9,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 10,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 13,
          "current": true
        }
      ]
    }
  }
]
```

#### 1224

##### term

1224

##### gpa

3.5943396226415096

##### count

106

##### university

###### size

1171

###### gpa Percentile

47

###### count Percentile

73

###### median Count

64

###### 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 | 3     | false   |
| 2.4–2.8 | 21    | false   |
| 2.8–3.2 | 173   | false   |
| 3.2–3.6 | 358   | true    |
| 3.6–4.0 | 616   | false   |

##### departments

```json
[
  {
    "subject": "STAT",
    "comparison": {
      "size": 27,
      "gpaPercentile": 58,
      "countPercentile": 58,
      "medianCount": 74,
      "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": 6,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 10,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": false
        }
      ]
    }
  }
]
```

#### 1232

##### term

1232

##### gpa

3.5309278350515463

##### count

97

##### university

###### size

1216

###### gpa Percentile

39

###### count Percentile

66

###### 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 | 2     | false   |
| 2.4–2.8 | 14    | false   |
| 2.8–3.2 | 174   | false   |
| 3.2–3.6 | 356   | true    |
| 3.6–4.0 | 670   | false   |

##### departments

```json
[
  {
    "subject": "STAT",
    "comparison": {
      "size": 32,
      "gpaPercentile": 65,
      "countPercentile": 68,
      "medianCount": 60.5,
      "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": 11,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 13,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": false
        }
      ]
    }
  }
]
```

#### 1234

##### term

1234

##### gpa

3.739669421487603

##### count

121

##### university

###### size

1188

###### gpa Percentile

62

###### count Percentile

76

###### 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 | 3     | false   |
| 2.4–2.8 | 17    | false   |
| 2.8–3.2 | 144   | false   |
| 3.2–3.6 | 374   | false   |
| 3.6–4.0 | 650   | true    |

##### departments

```json
[
  {
    "subject": "STAT",
    "comparison": {
      "size": 25,
      "gpaPercentile": 88,
      "countPercentile": 71,
      "medianCount": 67,
      "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": 5,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 12,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": true
        }
      ]
    }
  }
]
```

#### 1242

##### term

1242

##### gpa

3.8451327433628317

##### count

113

##### university

###### size

1295

###### gpa Percentile

73

###### count Percentile

72

###### 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": "STAT",
    "comparison": {
      "size": 34,
      "gpaPercentile": 79,
      "countPercentile": 76,
      "medianCount": 55,
      "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": 13,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 13,
          "current": true
        }
      ]
    }
  }
]
```

#### 1244

##### term

1244

##### gpa

3.792372881355932

##### count

118

##### university

###### size

1241

###### gpa Percentile

67

###### count Percentile

76

###### 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": "STAT",
    "comparison": {
      "size": 29,
      "gpaPercentile": 89,
      "countPercentile": 75,
      "medianCount": 62,
      "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": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 13,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": true
        }
      ]
    }
  }
]
```

#### 1252

##### term

1252

##### gpa

3.770642201834862

##### count

109

##### university

###### size

1333

###### gpa Percentile

62

###### 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": "STAT",
    "comparison": {
      "size": 32,
      "gpaPercentile": 90,
      "countPercentile": 68,
      "medianCount": 70.5,
      "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": 9,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 14,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 9,
          "current": true
        }
      ]
    }
  }
]
```

#### 1254

##### term

1254

##### gpa

3.826771653543307

##### count

127

##### university

###### size

1289

###### gpa Percentile

69

###### count Percentile

79

###### 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": "STAT",
    "comparison": {
      "size": 28,
      "gpaPercentile": 78,
      "countPercentile": 78,
      "medianCount": 70,
      "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": 6,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 11,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": true
        }
      ]
    }
  }
]
```

#### 1262

##### term

1262

##### gpa

3.8575129533678756

##### count

193

##### university

###### size

1320

###### gpa Percentile

72

###### 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": "STAT",
    "comparison": {
      "size": 29,
      "gpaPercentile": 86,
      "countPercentile": 79,
      "medianCount": 81,
      "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": 9,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 12,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 8,
          "current": true
        }
      ]
    }
  }
]
```

#### 1264

##### term

1264

##### gpa

3.913612565445026

##### count

191

##### university

###### size

1283

###### gpa Percentile

82

###### count Percentile

86

###### 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": "STAT",
    "comparison": {
      "size": 26,
      "gpaPercentile": 96,
      "countPercentile": 80,
      "medianCount": 66,
      "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": 9,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": true
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

4772

###### gpa

3.7072110043885127

###### top Share

84.79051322118589

###### count

140

##### STAT

###### size

74

###### gpa

3.588116026726468

###### top Share

77.85715546634837

###### count

210

#### terms

##### 1202

###### school

###### size

1102

###### gpa

3.5102605987403313

###### top Share

72.78244569053733

###### count

68

###### STAT

###### size

30

###### gpa

3.4022744829589433

###### top Share

67.29048111947832

###### count

80.5

##### 1204

###### school

###### size

1012

###### gpa

3.703747431523761

###### top Share

84.59811226304916

###### count

65.5

###### STAT

###### size

27

###### gpa

3.6537351147420534

###### top Share

80.87794592686507

###### count

56

##### 1212

###### school

###### size

1111

###### gpa

3.5856416028074487

###### top Share

77.58926748660845

###### count

68

###### STAT

###### size

25

###### gpa

3.4555542540486095

###### top Share

69.54152339778892

###### count

100

##### 1222

###### school

###### size

1157

###### gpa

3.563052311875811

###### top Share

76.64869058732418

###### count

64

###### STAT

###### size

32

###### gpa

3.4861059411832307

###### top Share

71.46520654148341

###### count

55.5

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### STAT

###### size

27

###### gpa

3.4650681869904103

###### top Share

69.88606041738046

###### count

74

##### 1232

###### school

###### size

1216

###### gpa

3.575457431972425

###### top Share

77.33712216234007

###### count

66

###### STAT

###### size

32

###### gpa

3.4024781451477413

###### top Share

66.63145704464162

###### count

60.5

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### STAT

###### size

25

###### gpa

3.396227416481204

###### top Share

66.8429997070879

###### count

67

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

###### STAT

###### size

34

###### gpa

3.4558758327213903

###### top Share

69.10154863162224

###### count

55

##### 1244

###### school

###### size

1241

###### gpa

3.5975573126929192

###### top Share

78.29036874847135

###### count

65

###### STAT

###### size

29

###### gpa

3.390846810323202

###### top Share

64.2629736611174

###### count

62

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

###### STAT

###### size

32

###### gpa

3.423918594183889

###### top Share

68.17668754351217

###### count

70.5

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### STAT

###### size

28

###### gpa

3.4752654121860003

###### top Share

68.35873780152826

###### count

70

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### STAT

###### size

29

###### gpa

3.415022952129974

###### top Share

64.95385808199006

###### count

81

##### 1264

###### school

###### size

1283

###### gpa

3.6229729166451925

###### top Share

80.13669149396227

###### count

66

###### STAT

###### size

26

###### gpa

3.343399816676682

###### top Share

63.23102425546245

###### count

66

## instructor Trends

```json
[
  {
    "uid": "instructor_a10182c6e5241212aadf03e5",
    "name": "BO YANG",
    "count": 1407,
    "terms": [
      {
        "term": "1202",
        "count": 82,
        "sections": 2,
        "gpa": 3.6890243902439024
      },
      {
        "term": "1204",
        "count": 78,
        "sections": 2,
        "gpa": 3.6025641025641026
      },
      {
        "term": "1212",
        "count": 78,
        "sections": 2,
        "gpa": 3.25
      },
      {
        "term": "1222",
        "count": 93,
        "sections": 4,
        "gpa": 3.7419354838709675
      },
      {
        "term": "1224",
        "count": 106,
        "sections": 3,
        "gpa": 3.5943396226415096
      },
      {
        "term": "1232",
        "count": 97,
        "sections": 4,
        "gpa": 3.5309278350515463
      },
      {
        "term": "1234",
        "count": 121,
        "sections": 4,
        "gpa": 3.739669421487603
      },
      {
        "term": "1242",
        "count": 113,
        "sections": 4,
        "gpa": 3.8451327433628317
      },
      {
        "term": "1244",
        "count": 118,
        "sections": 4,
        "gpa": 3.792372881355932
      },
      {
        "term": "1252",
        "count": 73,
        "sections": 2,
        "gpa": 3.9246575342465753
      },
      {
        "term": "1254",
        "count": 127,
        "sections": 4,
        "gpa": 3.826771653543307
      },
      {
        "term": "1262",
        "count": 160,
        "sections": 3,
        "gpa": 3.9375
      },
      {
        "term": "1264",
        "count": 161,
        "sections": 3,
        "gpa": 3.950310559006211
      }
    ]
  },
  {
    "uid": "instructor_bc7547c463578e6a6f5351b8",
    "name": "ZHIFENG CHEN",
    "count": 557,
    "terms": [
      {
        "term": "1252",
        "count": 109,
        "sections": 4,
        "gpa": 3.770642201834862
      },
      {
        "term": "1254",
        "count": 127,
        "sections": 4,
        "gpa": 3.826771653543307
      },
      {
        "term": "1262",
        "count": 160,
        "sections": 3,
        "gpa": 3.9375
      },
      {
        "term": "1264",
        "count": 161,
        "sections": 3,
        "gpa": 3.950310559006211
      }
    ]
  },
  {
    "uid": "instructor_3477a452ad67417e33b0075e",
    "name": "NURSULTAN AZHIMURATOV",
    "count": 352,
    "terms": [
      {
        "term": "1234",
        "count": 121,
        "sections": 4,
        "gpa": 3.739669421487603
      },
      {
        "term": "1242",
        "count": 113,
        "sections": 4,
        "gpa": 3.8451327433628317
      },
      {
        "term": "1244",
        "count": 118,
        "sections": 4,
        "gpa": 3.792372881355932
      }
    ]
  },
  {
    "uid": "instructor_c3485b02711ec2c4ee562800",
    "name": "BOWEN HU",
    "count": 153,
    "terms": [
      {
        "term": "1202",
        "count": 45,
        "sections": 1,
        "gpa": 3.533333333333333
      },
      {
        "term": "1212",
        "count": 108,
        "sections": 3,
        "gpa": 3.361111111111111
      }
    ]
  },
  {
    "uid": "instructor_f4374005946a9d4008a85a55",
    "name": "PO-KUEI CHEN",
    "count": 106,
    "terms": [
      {
        "term": "1224",
        "count": 106,
        "sections": 3,
        "gpa": 3.5943396226415096
      }
    ]
  },
  {
    "uid": "instructor_c29c695b537eb30977ee94b5",
    "name": "JOHN GILLETT",
    "count": 99,
    "terms": [
      {
        "term": "1252",
        "count": 36,
        "sections": 2,
        "gpa": 3.4583333333333335
      },
      {
        "term": "1262",
        "count": 33,
        "sections": 2,
        "gpa": 3.4696969696969697
      },
      {
        "term": "1264",
        "count": 30,
        "sections": 2,
        "gpa": 3.716666666666667
      }
    ]
  },
  {
    "uid": "instructor_a37b284fdb63145ca5b3de91",
    "name": "ZHONGLING LIAO",
    "count": 97,
    "terms": [
      {
        "term": "1232",
        "count": 97,
        "sections": 4,
        "gpa": 3.5309278350515463
      }
    ]
  },
  {
    "uid": "instructor_1172e88b5ae6ba42f3343950",
    "name": "BEHZAD AALIPUR HAFSHEJANI",
    "count": 94,
    "terms": [
      {
        "term": "1202",
        "count": 94,
        "sections": 2,
        "gpa": 3.845744680851064
      }
    ]
  },
  {
    "uid": "instructor_446a70d6c59b0e42240d024b",
    "name": "ZHUOYAN XU",
    "count": 93,
    "terms": [
      {
        "term": "1222",
        "count": 93,
        "sections": 4,
        "gpa": 3.7419354838709675
      }
    ]
  },
  {
    "uid": "instructor_53d6506dcfd0a75fd8db60d2",
    "name": "HONGZHI LIU",
    "count": 78,
    "terms": [
      {
        "term": "1204",
        "count": 78,
        "sections": 2,
        "gpa": 3.6025641025641026
      }
    ]
  },
  {
    "uid": "instructor_086d91a37c96e21beccd134b",
    "name": "ALEXANDER COVINGTON",
    "count": 77,
    "terms": [
      {
        "term": "1202",
        "count": 47,
        "sections": 1,
        "gpa": 3.872340425531915
      },
      {
        "term": "1212",
        "count": 30,
        "sections": 1,
        "gpa": 3.65
      }
    ]
  },
  {
    "uid": "instructor_776a80367ac941071d85ded3",
    "name": "DEREK BEAN",
    "count": 45,
    "terms": [
      {
        "term": "1202",
        "count": 45,
        "sections": 1,
        "gpa": 3.533333333333333
      }
    ]
  },
  {
    "uid": "instructor_cb916b081d4445a99ae52c5c",
    "name": "SIJING LI",
    "count": 45,
    "terms": [
      {
        "term": "1202",
        "count": 45,
        "sections": 1,
        "gpa": 3.533333333333333
      }
    ]
  },
  {
    "uid": "instructor_f239799e8b1d244fb8b0f240",
    "name": "SIXU LI",
    "count": 33,
    "terms": [
      {
        "term": "1262",
        "count": 33,
        "sections": 2,
        "gpa": 3.4696969696969697
      }
    ]
  },
  {
    "uid": "instructor_a59c61b3722745796d3a19b6",
    "name": "ALEJANDRO CALLE-SALDARRIAGA",
    "count": 30,
    "terms": [
      {
        "term": "1264",
        "count": 30,
        "sections": 2,
        "gpa": 3.716666666666667
      }
    ]
  }
]
```

## following

| code     | title                                         |
| -------- | --------------------------------------------- |
| ECON 400 | INTRODUCTION TO APPLIED ECONOMETRICS          |
| ECON 570 | FUNDAMENTALS OF DATA ANALYTICS FOR ECONOMISTS |
| ECON 695 | TOPICS IN ECONOMIC DATA ANALYSIS              |
| STAT 304 | R FOR STATISTICS II                           |
| STAT 333 | APPLIED REGRESSION ANALYSIS                   |
| STAT 405 | DATA SCIENCE COMPUTING PROJECT                |
| STAT 436 | STATISTICAL DATA VISUALIZATION                |

## projection

### target

1272

### interval

#### lower

3.5

#### upper

4

#### coverage

80

#### terms

5

### gpa

3.770657870159423

### grades

| grade | percentage          |
| ----- | ------------------- |
| A     | 78.79883574452758   |
| AB    | 7.952215871530588   |
| B     | 7.768854624994671   |
| BC    | 2.3337428256957007  |
| C     | 2.125767640010582   |
| D     | 0.6452322682305067  |
| F     | 0.37535102501036177 |

### source Terms

* 1262
* 1252
* 1242
* 1232
* 1222

### source Count

605

### same Season

true

### historical Range

* 3.5309278350515467
* 3.857512953367876

### backtest

#### terms

5

#### gpa Error

0.16956238911573704

#### mix Error

16.797433464179676
