销售额与CEO薪资关系（关系探索）

def solve():
    import pandas as pd
    import matplotlib.pyplot as plt
    import numpy as np
    
    url = 'https://liangdaima.com/static/data/wooldridge/ceosal1.csv'
    df = pd.read_csv(url)
    
    plt.figure(figsize=(10,6))
    plt.scatter(np.log10(df['sales']), np.log10(df['salary']), alpha=0.6, color='purple')
    z = np.polyfit(np.log10(df['sales']), np.log10(df['salary']), 1)
    p = np.poly1d(z)
    x_line = np.linspace(np.log10(df['sales'].min()), np.log10(df['sales'].max()), 100)
    plt.plot(x_line, p(x_line), 'r--', linewidth=2, label='趋势线')
    plt.title('公司销售额与CEO薪资（对数尺度）', fontsize=14)
    plt.xlabel('log10(销售额)', fontsize=12)
    plt.ylabel('log10(薪资)', fontsize=12)
    plt.legend()
    plt.grid(alpha=0.3)
    plt.tight_layout()
    plt.show()
    return "可视化代码执行完成"