# ECON 315: Data Visualization for Economists | UW–Madison

[View on UW Courses](https://uwcourses.com/courses/ECON_315)

## Dataset

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

### repository

twangodev/uwcourses

### schema version

6

### importer version

7

### projection id

52a78527ff09011d88cb04c7d43867d9fbfec2930bf1dd2ec359ebd2844e0b07

### observed at

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

### built at

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

### courses

8951

### current instructors

5754

### limited

false

### terms

* 1272
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### term

1272

### departments

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

## course

### run id

20260907T155543-ce3781c4

### semester

1272

### observed at

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

### record version id

852378ef0b56ed69dfae2b14188c94b3494e4af6abf533ad0aa1c97b307ba3d2

### course id

ECON 315

### course uid

course\_19b30424849182735425e4f5

### catalog version id

21badb51a32b927356ff93d0575628817f1690a325d9ac37f565f8b17e6428a0

### course number

315

### subjects

* ECON

### title

DATA VISUALIZATION FOR ECONOMISTS

### description

Introduction to the fundamental concepts of economic data visualization and analysis. Develop a toolkit of skills to visualize, interpret, and communicate data. After examining the fundamentals of data visualization, emphasis is on methods using Tableau to design and develop dashboards, graphs, and charts to ease quick and accurate interpretation of economic relationships. Move beyond tabular results to display and demonstrate the findings of economic research.

### requirements text

(ECON 101or111) andECON 310

### credits min

3

### credits max

4

### credit offering ids

* 1272:296:025985

### llm job id

enrich-f516c4d3e82cfe326b4f5f54

### llm output id

bd3494fa7d8e6ab1e540523dd2382070d454bf0b9ad2d963d3d450da0e529209

### llm model

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

### llm model revision

1355db6a052410cfd62085d94b58866fd0f2c3c5

### llm task version

14

### llm search status

valid

### llm summary

ECON 315 teaches economic data visualization and analysis using Tableau to design dashboards and communicate research findings.

### llm topics

* Fundamentals of data visualization.
* Tableau methods for dashboards, graphs, and charts.
* Interpretation of economic relationships.

### llm skills

* Visualize, interpret, and communicate data.
* Design and develop dashboards, graphs, and charts using Tableau.
* Display and demonstrate findings of economic research.

### llm assumed background

* Prerequisites in introductory economics and statistics/mathematics.
* Foundational knowledge in economic data analysis and statistical inference.

### llm search phrases

* ECON 315 data visualization
* Tableau dashboard economics
* ECON 315 economic data analysis
* data visualization for economists

### llm requirements status

valid

### llm student summary status

valid

### llm experience status

valid

### catalog variants

None recorded.

### student summary

#### context hash

2ee5511c81f6c32a0df588cb32c69d54290d88a8b797a7400fa8779c85b77148

#### course id

ECON 315

#### current instructors

```json
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    "instructor_uid": "instructor_37b4f83e228e58534f4227a9",
    "message": null,
    "name": "Gregory Pac",
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    "summary": [
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            "instructor_name": "Gregory Pac",
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          {
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            "source_review_id": "UmF0aW5nLTQxOTE2Njcz",
            "source_url": "https://www.ratemyprofessors.com/professor/2583756",
            "type": "review"
          }
        ],
        "text": "Gregory Pac is praised for his passion, engagement, and clear explanations, with students valuing the practical Tableau skills and his flexibility. Reviewers describe him as personable and caring, noting that his teaching style prepares students well for assignments."
      },
      {
        "citations": [
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            "type": "review"
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        ],
        "text": "Some students criticize Pac’s lectures as boring, unhelpful, or lacking respect, arguing that they must self-teach Tableau. These reviewers find the course impractical and describe the professor as having a high ego, recommending against the class."
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        "text": "Recent recorded grades — Fall 2024: 3.49 GPA, 72.7% A/AB (n=44 letter grades); Spring 2025: 3.17 GPA, 58.7% A/AB (n=46 letter grades); Fall 2025: 3.49 GPA, 71.4% A/AB (n=42 letter grades)."
      }
    ]
  }
]
```

#### difficulty workload

The workload is manageable, consisting of a few homework assignments, a final project, and a take-home exam.

```json
{
  "citations": [
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```

#### errors

None recorded.

#### historical context

None recorded.

#### offered

true

#### profile hash

e59ddc7389015d0035b68cd195c939d475bf72b959b29cf12eab59b454ccaef1

#### quick take

Gregory Pac teaches an engaging course focused on practical data skills like Tableau, with reviewers praising his passion and real-world relevance.

```json
{
  "citations": [
    {
      "instructor_name": "Gregory Pac",
      "review_date": "2023-12-24 19:17:32 +0000 UTC",
      "review_id": "feec040139a3a7c338f9f14c",
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      "source_instructor_id": "rmp:2583756",
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      "source_url": "https://www.ratemyprofessors.com/professor/2583756",
      "type": "review"
    },
    {
      "instructor_name": "Gregory Pac",
      "review_date": "2025-04-09 21:39:53 +0000 UTC",
      "review_id": "392bdbc2c965d197dfb0ed76",
      "run_id": "20260907T155543-ce3781c4",
      "source_instructor_id": "rmp:2583756",
      "source_review_id": "UmF0aW5nLTQwOTA2Mzg2",
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      "type": "review"
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    {
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      "review_date": "2025-11-20 19:05:46 +0000 UTC",
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      "type": "review"
    }
  ]
}
```

Recent recorded grades — Fall 2024: 3.49 GPA, 72.7% A/AB (n=44 letter grades); Spring 2025: 3.17 GPA, 58.7% A/AB (n=46 letter grades); Fall 2025: 3.49 GPA, 71.4% A/AB (n=42 letter grades).

```json
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}
```

#### student experience

Experiences vary significantly: some students find lectures boring and unhelpful, while others describe the instructor as engaging, personable, and caring.

```json
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```

#### task hash

74fb0997943e888960bbc9e47db8c4fd12e4292d55c20509d8d89db6a9910f68

#### teaching history

GRZEGORZ PAC is recorded teaching in Spring 2022, Spring 2023, Fall 2023, Fall 2024, Spring 2025, Fall 2025. Recorded history may be incomplete and does not establish a future schedule.

```json
{
  "citations": [
    {
      "course_id": "ECON 315",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
      "source_record": {
        "entity_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1224",
      "type": "grade"
    },
    {
      "course_id": "ECON 315",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
      "source_record": {
        "entity_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1234",
      "type": "grade"
    },
    {
      "course_id": "ECON 315",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
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      "source_record": {
        "entity_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1242",
      "type": "grade"
    },
    {
      "course_id": "ECON 315",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
      "source_record": {
        "entity_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1252",
      "type": "grade"
    },
    {
      "course_id": "ECON 315",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
      "source_record": {
        "entity_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1254",
      "type": "grade"
    },
    {
      "course_id": "ECON 315",
      "run_id": "20260907T155543-ce3781c4",
      "section_number": 1,
      "source_course_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
      "source_record": {
        "entity_id": "f74c8426-84a0-38ae-a919-54517b5c2b32",
        "file": "tables/observations.parquet",
        "kind": "grades",
        "source": "madgrades"
      },
      "table": "section_grades_latest",
      "term_id": "1262",
      "type": "grade"
    }
  ]
}
```

#### term id

1272

#### term name

2026 Fall

#### version

2

### requirements

#### nodes

```json
[
  {
    "children": [
      "n1",
      "n4"
    ],
    "condition": null,
    "course": null,
    "evidence": "(ECON 101or111) andECON 310",
    "id": "n0",
    "kind": "all"
  },
  {
    "children": [
      "n2",
      "n3"
    ],
    "condition": null,
    "course": null,
    "evidence": "(ECON 101or111)",
    "id": "n1",
    "kind": "any"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 101,
      "minimum_grade": null,
      "subjects": [
        "ECON"
      ],
      "timing": "prior"
    },
    "evidence": "ECON 101",
    "id": "n2",
    "kind": "course"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 111,
      "minimum_grade": null,
      "subjects": [
        "ECON"
      ],
      "timing": "prior"
    },
    "evidence": "111",
    "id": "n3",
    "kind": "course"
  },
  {
    "children": [],
    "condition": null,
    "course": {
      "course_number": 310,
      "minimum_grade": null,
      "subjects": [
        "ECON"
      ],
      "timing": "prior"
    },
    "evidence": "ECON 310",
    "id": "n4",
    "kind": "course"
  }
]
```

#### notes

None recorded.

#### root

n0

#### status

parsed

### instructors

```json
[
  {
    "instructor_uid": "instructor_37b4f83e228e58534f4227a9",
    "source": "enrollment",
    "source_instructor_id": "gpac",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Gregory Pac",
    "email": "GPAC@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": 103,
      "quality": 3.79,
      "difficulty": 3.23,
      "quality_count": 103,
      "difficulty_count": 103,
      "profile_id": "rmp:2583756",
      "source_url": "https://www.ratemyprofessors.com/professor/2583756",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:37:55.459090+00:00",
      "courses": {
        "course_921b4908221d05cbad377045": {
          "review_count": 40,
          "quality": 4.38,
          "difficulty": 3.12,
          "quality_count": 40,
          "difficulty_count": 40
        },
        "course_e104fb600738e5af6d58c4dd": {
          "review_count": 55,
          "quality": 3.38,
          "difficulty": 3.38,
          "quality_count": 55,
          "difficulty_count": 55
        },
        "course_19b30424849182735425e4f5": {
          "review_count": 7,
          "quality": 3.43,
          "difficulty": 2.57,
          "quality_count": 7,
          "difficulty_count": 7
        },
        "course_45144ea1ab61fccd3dc0a3f6": {
          "review_count": 1,
          "quality": 5,
          "difficulty": 4,
          "quality_count": 1,
          "difficulty_count": 1
        }
      },
      "bayesian_quality": 3.7688106965116415,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/GREGORY_PAC"
  }
]
```

### offerings

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "offering_id": "1272:296:025985",
    "course_id": "ECON 315",
    "course_uid": "course_19b30424849182735425e4f5",
    "term_id": "1272",
    "source_course_id": "025985",
    "source_subject_id": "296",
    "title": "Data Visualization for Economists",
    "credits_min": 3,
    "credits_max": 4,
    "typically_offered": "Not Applicable"
  }
]
```

### sections

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "section_uid": "uw-section:1272:27226",
    "term_id": "1272",
    "source_section_id": "27226",
    "identity_basis": "class_number",
    "section_number": "001",
    "section_type": "LEC",
    "instruction_mode": "Classroom Instruction",
    "capacity": 45,
    "enrolled": 46,
    "waitlisted": 7,
    "start_date": "2026-09-02 05:00:00+00:00",
    "end_date": "2026-12-09 06:00:00+00:00"
  }
]
```

### grade instructors

```json
[
  {
    "instructor_uid": "instructor_d1a94ed81bb0b3322f47661e",
    "source": "madgrades",
    "source_instructor_id": "6242434",
    "identity_basis": "source_id",
    "identity_status": "source_identified",
    "name": "GRZEGORZ PAC",
    "email": null,
    "first_observed_at": "2026-09-06 23:14:58.172943+00:00",
    "last_observed_at": "2026-09-07 15:55:43.033547+00:00",
    "grade_statistics": {
      "gpa": 3.119,
      "graded": 4586,
      "counts": [
        1325,
        959,
        977,
        600,
        557,
        104,
        64
      ],
      "sections": 30
    },
    "instructor_url": "/instructors/GRZEGORZ_PAC"
  },
  {
    "instructor_uid": "instructor_37b4f83e228e58534f4227a9",
    "source": "enrollment",
    "source_instructor_id": "gpac",
    "identity_basis": "netid",
    "identity_status": "source_identified",
    "name": "Gregory Pac",
    "email": "GPAC@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": 103,
      "quality": 3.79,
      "difficulty": 3.23,
      "quality_count": 103,
      "difficulty_count": 103,
      "profile_id": "rmp:2583756",
      "source_url": "https://www.ratemyprofessors.com/professor/2583756",
      "match_basis": "exact_name",
      "observed_at": "2026-09-07 16:37:55.459090+00:00",
      "courses": {
        "course_921b4908221d05cbad377045": {
          "review_count": 40,
          "quality": 4.38,
          "difficulty": 3.12,
          "quality_count": 40,
          "difficulty_count": 40
        },
        "course_e104fb600738e5af6d58c4dd": {
          "review_count": 55,
          "quality": 3.38,
          "difficulty": 3.38,
          "quality_count": 55,
          "difficulty_count": 55
        },
        "course_19b30424849182735425e4f5": {
          "review_count": 7,
          "quality": 3.43,
          "difficulty": 2.57,
          "quality_count": 7,
          "difficulty_count": 7
        },
        "course_45144ea1ab61fccd3dc0a3f6": {
          "review_count": 1,
          "quality": 5,
          "difficulty": 4,
          "quality_count": 1,
          "difficulty_count": 1
        }
      },
      "bayesian_quality": 3.7688106965116415,
      "prior_mean": 3.6596857835465957,
      "prior_weight": 20
    },
    "instructor_url": "/instructors/GREGORY_PAC"
  }
]
```

### grades

```json
[
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ECON 315",
    "course_uid": "course_19b30424849182735425e4f5",
    "term_id": "1224",
    "term_name": "Spring 2022",
    "instructors": [
      "Gregory Pac"
    ],
    "a": 19,
    "ab": 9,
    "b": 4,
    "bc": 2,
    "c": 3,
    "d": 1,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 38,
    "source_aliases": [
      "ECON 315"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ECON 315",
    "course_uid": "course_19b30424849182735425e4f5",
    "term_id": "1234",
    "term_name": "Spring 2023",
    "instructors": [
      "Gregory Pac"
    ],
    "a": 26,
    "ab": 7,
    "b": 9,
    "bc": 1,
    "c": 0,
    "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": 44,
    "source_aliases": [
      "ECON 315"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ECON 315",
    "course_uid": "course_19b30424849182735425e4f5",
    "term_id": "1242",
    "term_name": "Fall 2023",
    "instructors": [
      "Gregory Pac"
    ],
    "a": 18,
    "ab": 11,
    "b": 14,
    "bc": 1,
    "c": 0,
    "d": 1,
    "f": 0,
    "satisfactory": 0,
    "unsatisfactory": 0,
    "credit": 0,
    "no_credit": 0,
    "passed": 0,
    "incomplete": 0,
    "no_work": 0,
    "not_reported": 0,
    "other": 0,
    "total": 45,
    "source_aliases": [
      "ECON 315"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ECON 315",
    "course_uid": "course_19b30424849182735425e4f5",
    "term_id": "1252",
    "term_name": "Fall 2024",
    "instructors": [
      "Gregory Pac"
    ],
    "a": 18,
    "ab": 14,
    "b": 10,
    "bc": 1,
    "c": 0,
    "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": 44,
    "source_aliases": [
      "ECON 315"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ECON 315",
    "course_uid": "course_19b30424849182735425e4f5",
    "term_id": "1254",
    "term_name": "Spring 2025",
    "instructors": [
      "Gregory Pac"
    ],
    "a": 13,
    "ab": 14,
    "b": 8,
    "bc": 4,
    "c": 5,
    "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": 46,
    "source_aliases": [
      "ECON 315"
    ]
  },
  {
    "run_id": "20260907T155543-ce3781c4",
    "semester": "1272",
    "observed_at": "2026-09-07 15:55:43.033547+00:00",
    "course_id": "ECON 315",
    "course_uid": "course_19b30424849182735425e4f5",
    "term_id": "1262",
    "term_name": "Fall 2025",
    "instructors": [
      "Gregory Pac"
    ],
    "a": 15,
    "ab": 15,
    "b": 10,
    "bc": 0,
    "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": 42,
    "source_aliases": [
      "ECON 315"
    ]
  }
]
```

### statistics

#### gpa

3.442

#### graded

259

#### counts

* 109
* 70
* 55
* 9
* 10
* 3
* 3

### grade conflicts

None recorded.

### evidence

#### history

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_19b30424849182735425e4f5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_19b30424849182735425e4f5-0.json)

#### traces

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_19b30424849182735425e4f5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_19b30424849182735425e4f5-0.json)

#### reviews

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course\_19b30424849182735425e4f5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/reviews/course_19b30424849182735425e4f5-0.json)

#### meetings

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course\_19b30424849182735425e4f5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/meetings/course_19b30424849182735425e4f5-0.json)

#### results

* [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_19b30424849182735425e4f5-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_19b30424849182735425e4f5-0.json)

### revision

e243353dcb7d79b7247ced91d69443ef4c2a6349

## context

### all

#### term



#### gpa

3.442084942084942

#### count

259

#### university

##### size

3731

##### gpa Percentile

18

##### count Percentile

76

##### median Count

99

##### 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 | 13    | false   |
| 2.8–3.2 | 240   | false   |
| 3.2–3.6 | 934   | true    |
| 3.6–4.0 | 2544  | false   |

#### departments

```json
[
  {
    "subject": "ECON",
    "comparison": {
      "size": 89,
      "gpaPercentile": 38,
      "countPercentile": 74,
      "medianCount": 139,
      "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": 16,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 40,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 33,
          "current": false
        }
      ]
    }
  }
]
```

### terms

#### 1224

##### term

1224

##### gpa

3.460526315789474

##### count

38

##### university

###### size

1171

###### gpa Percentile

35

###### count Percentile

18

###### 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": "ECON",
    "comparison": {
      "size": 37,
      "gpaPercentile": 64,
      "countPercentile": 22,
      "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": 15,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 15,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 7,
          "current": false
        }
      ]
    }
  }
]
```

#### 1234

##### term

1234

##### gpa

3.590909090909091

##### count

44

##### university

###### size

1188

###### gpa Percentile

45

###### count Percentile

28

###### 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   | true    |
| 3.6–4.0 | 650   | false   |

##### departments

```json
[
  {
    "subject": "ECON",
    "comparison": {
      "size": 36,
      "gpaPercentile": 80,
      "countPercentile": 31,
      "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": 15,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 15,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 6,
          "current": false
        }
      ]
    }
  }
]
```

#### 1242

##### term

1242

##### gpa

3.466666666666667

##### count

45

##### university

###### size

1295

###### gpa Percentile

31

###### count Percentile

31

###### 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   | true    |
| 3.6–4.0 | 726   | false   |

##### departments

```json
[
  {
    "subject": "ECON",
    "comparison": {
      "size": 44,
      "gpaPercentile": 56,
      "countPercentile": 33,
      "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": 1,
          "current": false
        },
        {
          "range": "2.8–3.2",
          "count": 13,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 19,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 11,
          "current": false
        }
      ]
    }
  }
]
```

#### 1252

##### term

1252

##### gpa

3.4886363636363638

##### count

44

##### university

###### size

1333

###### gpa Percentile

31

###### count Percentile

27

###### 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   | true    |
| 3.6–4.0 | 773   | false   |

##### departments

```json
[
  {
    "subject": "ECON",
    "comparison": {
      "size": 46,
      "gpaPercentile": 69,
      "countPercentile": 29,
      "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": 8,
          "current": false
        },
        {
          "range": "3.2–3.6",
          "count": 26,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 12,
          "current": false
        }
      ]
    }
  }
]
```

#### 1254

##### term

1254

##### gpa

3.1739130434782608

##### count

46

##### university

###### size

1289

###### gpa Percentile

10

###### count Percentile

29

###### 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   | true    |
| 3.2–3.6 | 379   | false   |
| 3.6–4.0 | 765   | false   |

##### departments

```json
[
  {
    "subject": "ECON",
    "comparison": {
      "size": 39,
      "gpaPercentile": 26,
      "countPercentile": 37,
      "medianCount": 73,
      "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": 12,
          "current": true
        },
        {
          "range": "3.2–3.6",
          "count": 17,
          "current": false
        },
        {
          "range": "3.6–4.0",
          "count": 10,
          "current": false
        }
      ]
    }
  }
]
```

#### 1262

##### term

1262

##### gpa

3.488095238095238

##### count

42

##### university

###### size

1320

###### gpa Percentile

28

###### count Percentile

24

###### 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   | true    |
| 3.6–4.0 | 797   | false   |

##### departments

```json
[
  {
    "subject": "ECON",
    "comparison": {
      "size": 40,
      "gpaPercentile": 56,
      "countPercentile": 18,
      "medianCount": 65.5,
      "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": 21,
          "current": true
        },
        {
          "range": "3.6–4.0",
          "count": 10,
          "current": false
        }
      ]
    }
  }
]
```

### benchmarks

#### all

##### school

###### size

3731

###### gpa

3.687236795656713

###### top Share

83.59849811638443

###### count

99

##### ECON

###### size

89

###### gpa

3.527485223201023

###### top Share

72.91515306935855

###### count

139

#### terms

##### 1224

###### school

###### size

1171

###### gpa

3.5627882428500937

###### top Share

76.37271640560496

###### count

64

###### ECON

###### size

37

###### gpa

3.358824647431352

###### top Share

62.02356029673636

###### count

71

##### 1234

###### school

###### size

1188

###### gpa

3.5799441677552393

###### top Share

77.18256448537606

###### count

65

###### ECON

###### size

36

###### gpa

3.338494521920077

###### top Share

61.825472132927935

###### count

70.5

##### 1242

###### school

###### size

1295

###### gpa

3.595302892737449

###### top Share

78.36291889885307

###### count

67

###### ECON

###### size

44

###### gpa

3.382488776849895

###### top Share

64.71357517027587

###### count

70

##### 1252

###### school

###### size

1333

###### gpa

3.619494049739118

###### top Share

79.71442190500672

###### count

69

###### ECON

###### size

46

###### gpa

3.4251846784024935

###### top Share

66.33912567216377

###### count

74

##### 1254

###### school

###### size

1289

###### gpa

3.6126423469389106

###### top Share

79.48050408754871

###### count

66

###### ECON

###### size

39

###### gpa

3.4082741335226703

###### top Share

66.64551412266185

###### count

73

##### 1262

###### school

###### size

1320

###### gpa

3.628825763035853

###### top Share

80.21118846327654

###### count

70

###### ECON

###### size

40

###### gpa

3.446407481735755

###### top Share

68.17148103554868

###### count

65.5

## instructor Trends

```json
[
  {
    "uid": "instructor_d1a94ed81bb0b3322f47661e",
    "name": "GRZEGORZ PAC",
    "count": 259,
    "terms": [
      {
        "term": "1224",
        "count": 38,
        "sections": 1,
        "gpa": 3.460526315789474
      },
      {
        "term": "1234",
        "count": 44,
        "sections": 1,
        "gpa": 3.590909090909091
      },
      {
        "term": "1242",
        "count": 45,
        "sections": 1,
        "gpa": 3.466666666666667
      },
      {
        "term": "1252",
        "count": 44,
        "sections": 1,
        "gpa": 3.4886363636363638
      },
      {
        "term": "1254",
        "count": 46,
        "sections": 1,
        "gpa": 3.1739130434782608
      },
      {
        "term": "1262",
        "count": 42,
        "sections": 1,
        "gpa": 3.488095238095238
      }
    ]
  }
]
```

## following

None recorded.
