README.md

metadata

license: cc-by-4.0
task_categories:
  - tabular-classification
  - tabular-regression
language:
  - en
tags:
  - synthetic
  - machine-learning
  - data-analysis
size_categories:
  - 100K<n<1M

Abrechnungen für physiotherapeutische Leistungen

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

📊 Dataset Overview

• Rows: 500,000 (sample: 1,000)
• Columns: 12
• Quality Score: 89%
• Format: CSV
• Type: 100% Synthetic

🎯 Features

• PatientenID
• Behandlungstag
• Behandlungsart
• Dauer_Behandlung
• Gewichtsverlust
• Anzahl_Sitzungen
• Kosten_Behandlung
• Umsatz
• Gesundheitsstatus
• Behandlungsergebnis
• ... and 2 more

💡 Use Cases

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

✅ Quality & Privacy

• LLM-validated quality score: 89%
• 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/abrechnungen-für-physiotherapeutische-leistungen")
df = dataset['train'].to_pandas()

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

📝 License

CC BY 4.0 - Free to use with attribution

💰 Get Full Dataset

This is a sample preview (1,000 rows).

🔗 Purchase Full Dataset (500,000 rows) →

Price includes:

• Complete dataset (500,000 rows)
• All 12 features
• Commercial license
• Instant download

👤 Author

Marvin Hinske | 2025

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This is a sample preview (1,000 rows). Full dataset available for purchase.