统计活期账户与定期账户数量对比

def solve():
    from pyodide.http import open_url
    offices_csv = open_url("https://data.zuihe.com/dbd/core/state_01/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_01/staff.csv").read()
    currencies_csv = open_url("https://data.zuihe.com/dbd/core/state_01/currencies.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_01/savings_products.csv").read()
    interest_rate_charts_csv = open_url("https://data.zuihe.com/dbd/core/state_01/interest_rate_charts.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_01/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_01/savings_accounts.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.product_type, COUNT(a.id) AS account_count
        FROM savings_accounts a
        JOIN savings_products sp ON a.product_id = sp.id
        GROUP BY sp.product_type
        ORDER BY account_count DESC
    """, conn)
    print(result.to_string(index=False))
    conn.close()