Data Visualization App

A Streamlit-based application for data visualization.

Getting Started

Prerequisites

• Python 3.11
• pip (Python package installer)

Installation

1. Clone this repository:

git clone https://github.com/chrishonselaar/inzicht-ui-prototype
cd inzicht-ui-prototype

2. Create and activate a virtual environment (optional but recommended):

python -m venv venv
source venv/bin/activate # On Windows use: venv\Scripts\activate

3. Install required dependencies:

pip install -r requirements.txt

4. Copy and rename .env.example to .env, fill in your API keys

Running the Applications

This repository contains two Streamlit applications:

1. Statler Realtime Dashboard

For real-time data monitoring and visualization:

streamlit run src/statler_realtime/app.py

2. Waldorf Research Dashboard

For historical data analysis and research:

streamlit run src/waldorf_research/app.py

Running in VS Code

If you're using Visual Studio Code, you can use the included launch configurations:

1. Open the project in VS Code
2. Go to the "Run and Debug" view (Ctrl+Shift+D)
3. Select either "Statler Realtime" or "Waldorf Research" from the dropdown menu
4. Click the play button or press F5

Example Visualizations

Check out the examples/, notebooks/ and deep-research/ directory for sample visualization scripts and demonstrations of different chart types and data analysis techniques.

System Architecture

The system processes data from multiple input sources:

• Municipal archives (30,000+ documents)
• Live meetings (Real-time data)
• Scientific publications
• News and social media
• Internal documents (Reports, permit applications)

Through intelligent knowledge tools including Waldorf/Statler, this data is transformed into three key outcomes:

• Better informed decision-making
• Stronger animal welfare advocacy
• More effective coalition building