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初级

分析fico_mid与违约率相关性

未完成
初级参考 完整示例代码供参考，建议自己理解后重新输入 
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['fico_mid'].describe().round(2).to_string())
    print(f"与isDefault相关系数: {df['fico_mid'].corr(df['isDefault']):.4f}")

示例

输入
solve()
期望输出
count    10000.00
mean       698.44
std         32.47
min        662.00
25%        672.00
50%        692.00
75%        712.00
max        847.50
与isDefault相关系数: -0.1063
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