Vermont Livability Data Visualization App

A Streamlit web app for exploring, visualizing, and interpreting Vermont data. Users can upload one or more datasets and view tables, data summary reports, and custom plots through an interactive interface.

---

Installation & Setup

1. Clone this repository:

   git clone https://github.com/your-username/vermont-livability.git
   cd vermont-livability

2. Install the package dependencies into an environment with python version <=3.11

   pip install -r requirements.txt

Or, if you have conda, use

conda env create -f environment.yml

4. Run the Streamlit app from the terminal with this command:

   streamlit run Home.py

---

How to Use

1. Launch the app using this command in the terminal:

   streamlit run Home.py

2. Upload your data files via the sidebar. Many file formats are supported.

3. Navigate through the pages to preview, summarize, and visualize your data.

---

Project File Structure

/vermont-livability-app
│── Home.py               # Main Streamlit app entry point
│── utils.py              # Helper functions for file uploads
│
├── pages/    # A "pages" folder to organize the different app pages
│   ├── 1_Table Preview.py    # Interactive data grid display (for uploaded files)
│   ├── 2_Data Summary.py     # Automated data quality and exploratory reports (for uploaded files)
│   ├── 3_Visualize.py        # Single + dual variable plotting, and group-by plotting (for uploaded files)
│   ├── 4_Zoning.py        # Mapping zoning regulations
│   ├── 5_Wastewater.py        # Mapping VT wastewater infrastructure
│   ├── 6_Housing.py        # Exploring Census housing data
│   ├── 7_Economics.py        # Exploring Census economic data
│   ├── 8_Demographics.py        # Exploring Census demographic data
│   ├── 9_Social.py        # Exploring Census social data
│   ├── 10_Flooding.py        # Mapping VT high risk flood zones (FEMA)
│   ├── 11_Mapping.py        # General mapping tool for uploaded geo files
│   └── 12_About.py            # App information and credits
│
│── requirements.txt      # Python dependencies
│── README.md             # Project documentation

---

License

This project is open-source under the MIT License.

---

Credits

• Developed by Ian Sargent and Fitzwilliam Keenan-Koch
• Created under the Open Research Community Accelerator (ORCA)
• Built using Streamlit and Python

---