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查询被拒贷款及拒绝原因分类统计

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
    loan_products_csv = open_url("https://data.zuihe.com/dbd/credit/state_01/loan_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/credit/state_01/clients.csv").read()
    loan_applications_csv = open_url("https://data.zuihe.com/dbd/credit/state_01/loan_applications.csv").read()
    credit_assessments_csv = open_url("https://data.zuihe.com/dbd/credit/state_01/credit_assessments.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(loan_applications_csv)).to_sql('loan_applications', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("SELECT rejection_reason, COUNT(*) as count FROM loan_applications WHERE status='REJECTED' GROUP BY rejection_reason ORDER BY count DESC", conn)
    print(result.to_string(index=False))
    conn.close()

示例

输入
solve()
期望输出
rejection_reason  count
          收入证明不足      1
          信用评分不足      1
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