统计各产品的人均账户余额

def solve():
    from pyodide.http import open_url
    offices_csv = open_url("https://data.zuihe.com/dbd/core/state_02/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_02/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_02/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_02/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_02/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_02/savings_account_transactions.csv").read()
    import sqlite3
    import pandas as pd
    from io import StringIO

    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(savings_products_csv)).to_sql('savings_products', conn, index=False, if_exists='replace')
    pd.read_csv(StringIO(savings_accounts_csv)).to_sql('savings_accounts', conn, index=False, if_exists='replace')

    result = pd.read_sql_query("""
        SELECT sp.name AS product_name, COUNT(a.id) AS account_count,
               ROUND(AVG(a.balance), 2) AS avg_balance
        FROM savings_accounts a
        JOIN savings_products sp ON a.product_id = sp.id
        GROUP BY sp.id, sp.name
        ORDER BY avg_balance DESC
    """, conn)
    print(result.to_string(index=False))
    conn.close()