https://github.com/1adityakadam/carnegie_classifications_website
A comprehensive data analytics platform analyzing 50+ years of U.S. higher education trends through interactive visualizations and historical institution tracking.
https://github.com/1adityakadam/carnegie_classifications_website
css data-analysis html javascript python ui-design web-development
Last synced: 2 months ago
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A comprehensive data analytics platform analyzing 50+ years of U.S. higher education trends through interactive visualizations and historical institution tracking.
- Host: GitHub
- URL: https://github.com/1adityakadam/carnegie_classifications_website
- Owner: 1adityakadam
- Created: 2025-05-24T21:27:03.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-03T01:06:25.000Z (about 1 year ago)
- Last Synced: 2025-08-13T23:17:47.532Z (10 months ago)
- Topics: css, data-analysis, html, javascript, python, ui-design, web-development
- Language: HTML
- Homepage: https://carnegieclassifications.onrender.com/
- Size: 61.5 KB
- Stars: 0
- Watchers: 0
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Carnegie Classifications of Institutions of Higher Education Webpage



# Carnegie Classification Higher Education Analytics Platform
A comprehensive data analytics platform analyzing 50+ years of U.S. higher education trends through interactive visualizations and historical institution tracking.
## Project Overview
This project presents a deep dive into U.S. higher education evolution from 1973 to 2021, leveraging Carnegie Classification data to uncover institutional patterns, mergers, acquisitions, and enrollment trends across different degree levels and geographic regions.
**Key Achievements:**
- Analyzed 50,000+ institution records spanning nearly five decades
- Traced complex institutional lineages through mergers and acquisitions
- Created interactive dashboards revealing hidden higher education trends
- Built responsive web platform with optimized performance (20% faster load times)
## Features
### **Data Analysis & Processing**
- Historical analysis of institutional records (1973–2021)
- Custom ancestry grids for tracking mergers and acquisitions
- Comprehensive lineage mapping of institutional transitions
- Data partitioning for efficient regional and sector filtering
### **Interactive Dashboards**
- **Higher Education Trends**: Stacked area charts showing enrollment evolution across doctoral, master's, bachelor's, and associate degree levels
- **Institutional Sectors**: Comparative analysis of public, private non-profit, and for-profit institutions
- **Institutional Transitions**: Dynamic Sankey diagrams revealing classification changes over time
- **Regional Movement**: Animated bubble charts tracking geographic and categorical shifts
### **Web Platform Features**
- Responsive design with HTML/CSS/JavaScript
- Real-time filtering by region, institution type, and degree level
- Dark/Light mode toggle for enhanced user experience
- Optimized UI components including dropdowns and navigation bars
- Interactive tabs for different data perspectives
## 🛠️ Technology Stack
### **Data Processing**
- **Python** - Core data analysis and processing
- **Pandas** - Data manipulation and cleaning
- **Custom algorithms** - Ancestry grid generation and lineage tracking
### **Visualization & Dashboards**
- **Microsoft Power BI** - Interactive dashboard creation
- **Sankey Diagrams** - Flow visualization for institutional transitions
- **Dynamic charts** - Multi-perspective data exploration
### **Web Development**
- **HTML/CSS** - Responsive frontend design
- **JavaScript** - Interactive functionality and data filtering
- **Optimized UI components** - Enhanced user experience
## 📈 Key Insights Revealed
### **Enrollment Trends**
- Dramatic growth in higher education participation from 1973-2020
- Significant expansion in master's and doctoral programs
- Regional variations in institutional growth patterns
### **Institutional Evolution**
- Complex merger and acquisition patterns in higher education
- Shifts between public, private non-profit, and for-profit sectors
- Geographic redistribution of higher education institutions
### **Classification Changes**
- Institutions moving between Carnegie Classification categories
- Evolution from bachelor's-focused to research-intensive institutions
- Regional specialization trends over time
## Performance Optimizations
- **20% faster load times** through interface redesign
- Efficient data partitioning for large datasets
- Optimized query performance for real-time filtering
- Responsive design ensuring cross-device compatibility
## Dashboard Navigation
Use the interactive features to explore different aspects of the data:
- **Tabs**: Switch between institution counts, percentages, and enrollment numbers
- **Regional Filters**: Focus on specific geographic areas
- **Sector Controls**: Compare public, private, and for-profit institutions
- **Time Navigation**: Explore changes across different time periods
## Data Sources
- Carnegie Classification of Institutions of Higher Education
- Historical enrollment and institutional records (1973-2021)
## Visualizations Preview
The platform includes four main dashboard views:
1. **Overall Trends** - Comprehensive enrollment and institutional growth
2. **Sectoral Analysis** - Public vs. private institution comparisons
3. **Transition Flows** - Sankey diagrams showing institutional changes
4. **Geographic Movement** - Regional and categorical shifts over time
## Interface Features
- **Dark Mode Support** - Enhanced viewing experience
- **Responsive Design** - Optimized for desktop and mobile
- **Interactive Navigation** - Seamless switching between data views
- **Real-time Filtering** - Dynamic data exploration capabilities
## Impact & Applications
This platform serves researchers, policymakers, and education professionals by:
- Revealing long-term trends in higher education
- Supporting data-driven policy decisions
- Tracking institutional accountability and evolution
- Facilitating comparative analysis across regions and sectors
*Built with passion for education data analytics and institutional research.*