"""
MarketTrendAnalyzer
Generated by Eden via recursive self-improvement
2025-11-02 04:16:04.370714
"""

import pandas as pd

class MarketTrendAnalyzer:
    def __init__(self):
        self.data = None
        self.trends = {}

    def load_data(self, file_path):
        """Load market research data from a CSV file."""
        self.data = pd.read_csv(file_path)

    def analyze_trends(self):
        """Analyze the data to identify trends in customer preferences and product performance."""
        if self.data is None:
            return "No data loaded. Please use load_data() method first."

        # Example analysis: Trends in customer preferences
        preference_trends = self.data.groupby('customer_preference')['revenue'].mean().sort_values(ascending=False)
        self.trends['preference'] = preference_trends

        # Example analysis: Trends in product performance
        performance_trends = self.data.groupby('product_id')['sales_volume'].mean().sort_values(ascending=False)
        self.trends['performance'] = performance_trends

        return "Trend analysis complete."

    def get_trend(self, category):
        """Retrieve the identified trends for a specific category."""
        if category in self.trends:
            return self.trends[category]
        else:
            return f"No trends found for {category}."

# Example usage
analyzer = MarketTrendAnalyzer()
analyzer.load_data('market_research_cycles.csv')
print(analyzer.analyze_trends())
print(analyzer.get_trend('preference'))