National Parks: An Agglomerate

This project builds a custom dataset using the National Park Service (NPS) API by combining parks, alerts, and campground data into a single dataset for analysis.

Project Overview

The goal of this project is to explore how:

• Amenities (activities and campgrounds)
• relate to
• Operational complexity (alerts)

Rather than using a pre-existing dataset, this project collects and processes raw API data into a structured format.

Explore the Project

• 📦 Install the package from PyPI:
  national-parks-agglomerate

• 💻 View the source code on GitHub:
  GitHub Repository

• 📊 Try the interactive Streamlit app:
  Launch App

Site Navigation

• Documentation → Details on package functions
• Tutorial → Step-by-step guide to install and use the package
• Technical Report → Project motivation, methods, and findings

Why This Matters

This project demonstrates a full data science workflow:

• API data collection
• Data cleaning and transformation
• Feature engineering
• Building a Python package
• Deploying an interactive app

It reflects how real-world data projects are built from raw data to final product.