对比log变换前后的偏度

def solve():
    from pyodide.http import open_url
    from io import StringIO
    loans_clean_csv = open_url("https://data.zuihe.com/dbd/riskctrl/state_03/loans_clean.csv").read()
    loans_featured_csv = open_url("https://data.zuihe.com/dbd/riskctrl/state_03/loans_featured.csv").read()
    iv_table_csv = open_url("https://data.zuihe.com/dbd/riskctrl/state_03/iv_table.csv").read()
    import pandas as pd
    from io import StringIO
    df = pd.read_csv(StringIO(loans_featured_csv))
    print(df['log_income'].describe().round(2).to_string())
    print(f"annualIncome偏度: {df['annualIncome'].skew():.4f}")
    print(f"log_income偏度: {df['log_income'].skew():.4f}")
    print(f"revolBal偏度: {df['revolBal'].skew():.4f}")
    print(f"log_revolBal偏度: {df['log_revolBal'].skew():.4f}")