MarvHins/1-minuten-volatilitat-rohstoffe

1-Minuten-Volatilität Rohstoffe

High-quality synthetic dataset for machine learning and data analysis.

📊 Dataset Overview

• Rows: 500,000 (sample: 1,000)
• Columns: 10
• Quality Score: 99%
• Format: CSV
• Type: 100% Synthetic

🎯 Features

• timestamp
• rohstoff
• volatilitaet
• max_volatilitaet
• min_volatilitaet
• volatilitaets_schnitt
• rohstoffart
• markt
• region
• wetter

💡 Use Cases

• 🤖 Machine learning model training
• 📊 Data analysis and visualization
• 🔬 Algorithm development
• 📚 Education and research
• 🧪 Testing and prototyping

✅ Quality & Privacy

• LLM-validated quality score: 99%
• 100% synthetic - no real personal data
• GDPR compliant by design
• Privacy-safe for all applications

🚀 Quick Start

from datasets import load_dataset

dataset = load_dataset("MarvHins/1-minuten-volatilität-rohstoffe")
df = dataset['train'].to_pandas()

print(df.head())
print(df.info())

📝 License

CC BY 4.0 - Free to use with attribution

👤 Author

Marvin Hinske | 2025

---

This is a sample preview. Full dataset available separately.