🔮 Prediction Market Intelligence

A modern, high-performance data dashboard designed for analyzing prediction market datasets. Built with a premium "Beautiful" glassmorphism UI, this application provides deep insights into market distributions and event analytics.

✨ Key Features

• Modern Aesthetic: Deep gradient backgrounds with glassmorphism effects and glowy UI elements.
• Interactive Controls: Sidebar configuration with a real-time Color Picker to customize chart themes.
• Tabbed Layout: Organized views for better data management:
  • 📊 Analytics: Interactive distribution and categorical breakdown charts.
  • 🔍 Data Explorer: High-performance data snapshot and summary statistics.
  • ℹ️ Metadata: Detailed column information and data quality metrics.
• Optimized Performance: Leverages Parquet file formats and Streamlit's caching for lightning-fast data loading.

🛠 Tech Stack

• Frontend / App: Streamlit
• Data Processing: Pandas
• Visualization: Plotly Express
• Storage Format: Apache Parquet
• Parquet Engine: PyArrow
• Language: Python 3

🚀 Getting Started

Prerequisites

Ensure you have Python 3.8+ installed on your system.

Installation

1. Clone the repository (or navigate to the project folder):

   cd Prediction_market_app

2. Install the required dependencies:

   pip install -r requirements.txt

Running Locally

To launch the dashboard, run the following command in your terminal:

streamlit run app.py

The application will open automatically in your default web browser at http://localhost:8501.

📁 Project Files

• app.py – Main Streamlit application
• requirements.txt – Python dependencies
• README.md – Project documentation
• data/ – Parquet datasets (train-00000-of-000002.parquet, train-00001-of-000002.parquet)
• utils/ – Utility modules
  • __init__.py – Marks folder as a Python package
  • data_loader.py – Loads and merges datasets
  • analytics.py – Analytics & visualization functions

🌐 Live Demo

👉 Live app here: (https://clone-pm-ehlbnvg7hxfmmfy8geramr.streamlit.app/)

⚠️ Note: The live app is intended to use the full prediction market dataset.
The dataset is very large, so the live deployment takes time to load.

📂 Download Dataset From here

• 🗂️ train-00000-of-000002.parquet
  👉 Download here: (https://drive.google.com/file/d/1QgCIF4i-968qN-1WuVeCmLWKNSotxrqe/view?usp=sharing)

• 🗂️ train-00001-of-000002.parquet

  👉 Download here: (https://drive.google.com/file/d/1LRo0iqVpgeS55Q3pu3glRNS4pmxrQ-9B/view?usp=sharing)