分析risk_index特征与违约关系

def solve():
    from pyodide.http import open_url
    from io import StringIO
    loans_clean_csv = open_url(____).read()
    loans_featured_csv = open_url(____).read()
    iv_table_csv = open_url(____).read()
    import pandas as pd
    from io import StringIO
    df = pd.read_csv(StringIO(____))
    print(df['____'].describe().round(____).to_string())
    df['____']=pd.qcut(____)
    grp=df.groupby(____).agg(count=(____),default_rate=(____)).reset_index()
    grp['____']=grp['____'].round(____)
    print(grp.to_string(____))
    print(____)