pl-viz 0.1.2

Fetch and visualize data from PL.

prairielearn-viz

pl_viz is a Python package designed to simplify data extraction and visualization for courses on PrairieLearn. With its object-oriented design, pl_viz makes it easy to fetch data for courses, students, and assessments, and generate insightful visualizations to analyze student performance and assessment outcomes.

Features

• Object-Oriented Design: Includes Course, Student, and Assessment classes for modular and intuitive data handling.
• Data Extraction: Fetch student lists, assessment details, and submission scores directly from the PrairieLearn API.
• Data Visualization:
  • Boxplots for score distributions across assessments.
  • Histograms to analyze score frequency.
• Summary Statistics: Compute mean, median, min, and max scores for assessments.

Installation

To install the pl_viz package, use the following command:

pip install pl_viz

Usage

You will need a PrairieLearn API token to use this package. Store the token as an environment variable for security:

export PL_API_TOKEN="your_api_token_here"

Classes Overview

1. Course

Represents a PrairieLearn course. Use it to:

• Fetch students and assessments.
• Display summary statistics.
• Generate visualizations.

2. Student

Represents an individual student, providing access to their user ID, name, and UID.

3. Assessment

Represents an assessment within a course. Fetch submissions and analyze score distributions.

Contributing

Contributions are welcome! If you’d like to contribute to pl_viz, please open an issue or submit a pull request. Ensure you follow the coding standards and add tests for new features.

License

This project is licensed under the MIT License. See the LICENSE file for details.