GPA Dataset (Spring 2010 through Spring 2020)

The "GPA Dataset" contains the GPAs for courses at The University of Illinois over a ten year period from Spring 2010 through Spring 2020.

• Dataset Format: Well-formatted CSV with column headers as the first row
• Dataset Size: 53,933 rows × 21 columns
• CSV File Location: https://waf.cs.illinois.edu/discovery/gpa.csv
• Dataset Variables:
  • Year : number ➜ The year the course section was offered
  • Term : string ➜ The term the course section was offered (Fall, Spring, Summer, or Winter)
  • YearTerm : string ➜ A formatted combination of the year and term
  • Subject : string ➜ 2-4 letter subject code for the course; ex: HIST for History, CS for Computer Science, etc.
  • Number : number ➜ 1-3 digit course number
  • Course Title : string ➜ A short title describing the course
  • A+ : number ➜ The number of A+ grades given in the course section
  • A : number ➜ The number of A grades given in the course section
  • A- : number ➜ The number of A- grades given in the course section
  • B+, B, B-, C+, C, C-, D+, D, D-: number ➜ The number of grades given in the course section
  • F : number ➜ The number of F grades given in the course section
  • Primary Instructor : string ➜ The primary instructor of record in the course section
  • Students: The number of students per course section

Using the GPA Dataset in Python

The dataset can be loaded using the pandas library in Python:

import pandas as pd
df = pd.read_csv("https://waf.cs.illinois.edu/discovery/gpa.csv")
df

Pages Using the GPA Dataset

1. Learn Page: Python for Data Science: Introduction to DataFrames
2. Video Walk-Through & Worksheet:
3. Video Walk-Through & Worksheet:
4. Video Walk-Through & Worksheet:
5. Video Walk-Through & Worksheet: Learn Page: Reading Histograms (Part 1)
6. Video Walk-Through & Worksheet: Learn Page: Histograms, Bar Charts, and Box Plots