Code2Doc.dev

Code

import pandas as pd
import numpy as np
from typing import Dict, List, Optional
from datetime import datetime

class DataAnalyzer:
    """Analyzes sales data and generates insights."""
    
    def __init__(self, data_path: str):
        self.data_path = data_path
        self.df: Optional[pd.DataFrame] = None
        self._load_data()
    
    def _load_data(self) -> None:
        """Load sales data from CSV file."""
        try:
            self.df = pd.read_csv(self.data_path)
            self.df['date'] = pd.to_datetime(self.df['date'])
            print(f"Loaded {len(self.df)} records")
        except Exception as e:
            print(f"Failed to load data: {e}")
            raise
    
    def calculate_revenue_metrics(self) -> Dict[str, float]:
        """Calculate key revenue metrics."""
        if self.df is None:
            raise ValueError("No data loaded")
        
        return {
            'total_revenue': self.df['revenue'].sum(),
            'average_order_value': self.df['revenue'].mean(),
            'revenue_std': self.df['revenue'].std()
        }

Drag & drop code file or zip archive here (Supports all programming languages - Max 1MB for single files, Max 50MB for zip archives)

Sample code loaded. Edit or paste your own code to get started.Ready for PRD

Generated Document

Generated documentation will appear here