Fall 2026

Data Visualization for Economists

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

offering recorded3–4 credits
Recorded instructors · Fall 2026 Gregory Pac3.8/5

Summary

1 / 6

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

Grade history

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average GPA
letter grades
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All recorded terms · compare terms & instructors

Prerequisites

Course map

(ECON 101 or 111) and ECON 310

ECON 315

This is a best-effort interpretation; check the catalog requirements above.

Prerequisite text tree

Professors

Fall 2026
/5Adjusted rating
/5RMP difficulty
captured reviews
About this rating

Raw average: 3.79/5 from 103 quality ratings. The adjusted rating blends this with the UW review average (3.66/5), weighted as 20 additional ratings. Smaller samples stay closer to that average. Each captured review is counted once in the prior; this does not correct who chooses to leave a review.

For this course: 3.4/5 raw quality · 2.6/5 difficulty · 7 reviews

RMP profile ↗ · All captured review dates; profile matched by name.

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.

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.

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).

Historical instructors & teaching patterns

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.

Recorded history may be incomplete and does not establish a future schedule.

Calendar & sections

Fall 2026

Schedule loads here as you scroll.

SectionModeEnrolled / capacityWaitlist
LEC 001Classroom Instruction46 / 457

Times are Central. Select a meeting for details; export includes recorded dates for the selected sections. Enrollment reflects scan time.

Meeting source records
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Student experience

the class

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

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.

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

Topics

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

Skills

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

Grades

Latest available · Fall 2025— not enough history to project Fall 2026.

average GPA
A / AB grades
letter grades
Instructor

Grade distribution · % of letter grades

A
AB
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BC
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D
F

Grades over time

Through Fall 2025

More grade details Grade mix, volume & source data

Where this course fits relative to

Latest available grades · Fall 2025 · all course levels

GPA

Higher than % of other courses in this group.

Course GPAs · red marks this course’s range

letter grades

More recorded grades than % of other courses in this group.

Typical course in this group: letter grades.

About this comparison

1320 courses over the same term, each with at least 30 recorded letter grades. Cross-listed courses count once. GPA is not a measure of difficulty or teaching quality. The typical course is the median by recorded grade count; tied values are not counted as lower. Grade counts describe course scale, not unique students or typical section size.

Descriptions compare GPA with this group’s average: at least 0.20 higher or lower; otherwise close to average. Section size uses median recorded enrollment: small up to 30, mid-sized 31–99, large 100+. Lectures and discussion/lab sections are described separately.

Sources & history

UW–Madison

Catalog & offerings

Descriptions, prerequisites, and recorded course offerings.

Catalog observation history

Observations at scan time; dates do not imply when a catalog change took effect.

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Selected offering source records
ECON 315 · Fall 2026

Data Visualization for Economists

Recorded 2026-09-07
Raw records
[
  {
    "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"
  }
]
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Student reviews

Original comments behind the course and instructor summaries.

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Madgrades

Grade history

Recorded grade distributions by term, section, and instructor.

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Dataset & model

Recorded 2026-09-07

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Model outputs & technical records
nvidia/Qwen3.6-35B-A3B-NVFP4
LLM outputs across runs
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Full model traces

Recorded model configuration, reasoning, and tool conversations.

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Model & dataset provenance
{
  "model": "nvidia/Qwen3.6-35B-A3B-NVFP4",
  "model_revision": "1355db6a052410cfd62085d94b58866fd0f2c3c5",
  "task_version": "14",
  "output_id": "bd3494fa7d8e6ab1e540523dd2382070d454bf0b9ad2d963d3d450da0e529209",
  "requirements_status": "valid",
  "dataset_revision": "e243353dcb7d79b7247ced91d69443ef4c2a6349",
  "observed_at": "2026-09-07 15:55:43.033547+00:00"
}