Initial commit: Eurojackpot analysis and prediction system

This repository contains a comprehensive Eurojackpot lottery analysis and prediction system including:
- Historical data analysis and processing
- ML-based prediction models
- Automated weekly tip generation
- Position and range analysis tools
- Notification system for results

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude Sonnet 4.5 <noreply@anthropic.com>

scripts/analysis/simple_bereichsanalyse.py

@@ -0,0 +1,54 @@
+#!/usr/bin/env python3
+"""
+Einfache Eurojackpot Bereichsanalyse
+"""
+
+import pandas as pd
+from collections import Counter
+
+def analyze_ranges():
+    """Analysiert Zahlenbereiche in Eurojackpot-Daten."""
+    
+    # Daten laden
+    df = pd.read_csv("/Users/sebastianfrohlich/Library/Mobile Documents/com~apple~CloudDocs/Jupyter Notebooks/Eurojackpot/data/AlleEurojackpotzahlen.csv", sep=';')
+    
+    print(f"Anzahl Ziehungen: {len(df)}")
+    
+    # Alle Zahlen sammeln
+    all_numbers = []
+    for col in ['Z1', 'Z2', 'Z3', 'Z4', 'Z5']:
+        all_numbers.extend(df[col].tolist())
+    
+    # Bereiche definieren
+    ranges = {
+        '1-10': list(range(1, 11)),
+        '11-20': list(range(11, 21)),
+        '21-30': list(range(21, 31)),
+        '31-40': list(range(31, 41)),
+        '41-50': list(range(41, 51))
+    }
+    
+    print(f"\nGesamt gezogene Zahlen: {len(all_numbers)}")
+    print("="*50)
+    
+    # Analyse pro Bereich
+    for range_name, range_numbers in ranges.items():
+        count = sum(1 for num in all_numbers if num in range_numbers)
+        percentage = (count / len(all_numbers)) * 100
+        
+        print(f"{range_name:6}: {count:4} Zahlen ({percentage:5.1f}%)")
+    
+    print("="*50)
+    
+    # Häufigste Zahlen
+    number_counts = Counter(all_numbers)
+    print("\nHäufigste 10 Zahlen:")
+    for num, count in number_counts.most_common(10):
+        print(f"Zahl {num:2}: {count:3} mal")
+    
+    print("\nSeltenste 10 Zahlen:")
+    for num, count in number_counts.most_common()[-10:]:
+        print(f"Zahl {num:2}: {count:3} mal")
+
+if __name__ == "__main__":
+    analyze_ranges()