coursedemandr - CourseDemandR v1.3.2

• Correlation Heatmap Tooltips

  • Added hover tooltips to the GE Area correlation heatmap showing the pairwise GE areas and Pearson correlation value.
  • Sample size (number of terms) now appears in the heatmap title for interpretability.

• Interactive Cross-Tab Filtering

  • Clicking on a point in the Section Count vs. Fill Rate by Course plot now filters the Overview tab by Subject.
  • Enables dashboard-style drilldowns.

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Published by emontoya2 7 months ago

coursedemandr - CourseDemandR v1.3.1

• Consolidated tabs:
  
  • What-If Analysis now merges "Sections per Course" and "Sections per GE Area" scenarios
    
  • Fill Rates Over Time merges course-level and GE-area time-series plots
    
• Minor bug fixes related to data upload.

- R
Published by emontoya2 10 months ago

coursedemandr - CourseDemandR v1.3.0

• Add data-validation pre-check (validate_data.R) to ensure required columns, types, and non-negative numeric values
  
• Fix edge-case errors in filtering when users upload custom GE datasets
  
• Minor bug fixes and improved inline code comments
• Updated README.md to reflect updates

- R
Published by emontoya2 10 months ago

coursedemandr - CourseDemandR v1.2.0

What's new in v1.2.0

• The dataset now requires only base variables, and all derived metrics are computed automatically by the app.
• Originally limited to the built-in dataset, the app now also supports uploading a tidy CSV (with variable names matching those described global.R).
• Two new metrics added and two additional plots for further data exploration of fill rates.
• Minor bug fixes and improved inline code comments
• Updated README.md to reflect updates

- R
Published by emontoya2 11 months ago

coursedemandr -

What's new in v1.1.0

• Added example dataset (sample GE course data)
• Verified full app functionality for local deployment
• Minor bug fixes and improved inline code comments
• Updated README.md to reflect updates

- R
Published by emontoya2 12 months ago

coursedemandr -

Version 1.0.0

This is the first archived release of CourseDemandR, an R Shiny application designed to support data-informed General Education (GE) curriculum planning.

Key Features:

• Interactive Overview tab for exploring GE course enrollment and fill rates
• Tabs for High and Low Fill Rate Courses
• What-If Analysis tools for scenario modeling at both the course and GE area levels
• Pairwise GE Correlation and Heatmap views to explore enrollment patterns
• Section Count vs. Fill Rate Plot to identify over- or under-scheduled courses
• Customizable filters (by term, GE area, subject, etc.)
• Fully documented variable schema for structured CSV inputs
• Hosted version (via ShinyApps.io) and local deployment instructions included

Technical Notes:

• Built with R Shiny and tidyverse packages
• Licensed under MIT
• Archived on Zenodo for reproducibility and long-term citation

This version corresponds to the initial public release associated with a software metapaper prepared for scholarly publication.

- R
Published by emontoya2 about 1 year ago