统计各状态账户资金沉淀及占比

def solve():
    from pyodide.http import open_url
    offices_csv = open_url("https://data.zuihe.com/dbd/core/state_06/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_06/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_06/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_06/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_06/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_06/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_06/gl_accounts.csv").read()
    charges_csv = open_url("https://data.zuihe.com/dbd/core/state_06/charges.csv").read()
    savings_account_charges_csv = open_url("https://data.zuihe.com/dbd/core/state_06/savings_account_charges.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(savings_accounts_csv)).to_sql('savings_accounts', conn, index=False, if_exists='replace')
    df = pd.read_sql_query("SELECT status, COUNT(*) AS account_count, SUM(balance) AS total_balance FROM savings_accounts GROUP BY status ORDER BY total_balance DESC", conn)
    total = df['total_balance'].sum()
    df['balance_pct'] = (df['total_balance']/total*100).round(1).astype(str)+'%'
    print(df.to_string(index=False))
    conn.close()