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All the relevant data we have access to.

Nebula API

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titleGrade Distribution
Info

Has class sections from each semester with the following data:

Subject: “ACCT”

Catalog Number: “2301”

Section: “1”

Number of students per letter grade (A+, A, A-, B+, B, B-, C+, C, C-, D+, D, D-, F, P, CR, NC, I, W): 7

Instructors (Up to 6): “Zhang, Jieying”

Grade Data .csv files per semester

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titleSection

ID: ID (as String)

Section Number: ““

Course Reference: ID (as String)

Section Co-Requisites: type CollectionRequirement

Academic Session: type AcademicSession

Professors: array of ID’s (as Strings)

Teaching Assistants: array of Assistants

Internal Class Number: ““

Instruction Mode: ““

Meetings: array of Meetings

Core Flags: array of Strings

Syllabus URI: ““

Grade Distribution: array of ints

Attributes: array of objects

Rate My Professor

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titleOverall Quality
Info

The big number at the top that shows how “good” a professor is, overall, based on the rating distribution

Scale: 1.00 to 5.00; could be “N/A” if there are no ratings

RateMyProfessors’ categories for the rating: Good: 3.5-5, Average: 2.5-3.4, Poor: 1-2.4

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titleEach Review
Info

Information on each review

  • Quality Rating: 1 (awful) to 5 (awesome)

  • Difficulty Rating: 1.0 (easy) to 5.0 (hard)

  • Course (e.g. CE1337, 1337)

  • Date of Review

  • Details

    • For Credit

    • Attendance

    • Would Take Again

    • Grade

    • Textbook

  • Review text

  • Tags (up to 3)

  • Helpful

    • Crowdsourced; whether people found this review helpful or not helpful

Course Evaluations

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As of 03-19-24, Course Evaluation Data is not accessible and will not be incorporated soon.

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