
A simple random college generator template that helps users explore a dataset of U.S. colleges through an interactive random selection tool. The spreadsheet contains comprehensive information about different institutions, including enrollment numbers, acceptance rates, costs, and academic statistics.
Key features:
The main feature is a visualization that randomly selects and displays a college's key information, including:
- Institution name
- Private/public status
- Total cost (combination of room & board, books, personal expenses, and out-of-state tuition)
The underlying dataset includes additional metrics for each institution:
- Application and enrollment statistics
- Percentage of students from top academic percentiles
- Faculty credentials
- Student-faculty ratios
- Graduate rates
- Financial metrics
How to use this template:
Users can refresh the random picker by double-clicking the Python visualization and re-running it, to explore different institutions in the dataset. This tool can be helpful for:
- Initial college research
- Understanding the range of institutions available
- Comparing different types of colleges
- Exploring institutions you might not have considered
The template demonstrates basic data visualization and random selection using Python and Plotly in Quadratic, while maintaining easy access to the complete dataset for further analysis.