计算储户余额段分布

def solve():
    from pyodide.http import open_url
    offices_csv = open_url("https://data.zuihe.com/dbd/core/state_08/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_08/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_08/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_08/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_08/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_08/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_08/gl_accounts.csv").read()
    journal_entries_csv = open_url("https://data.zuihe.com/dbd/core/state_08/journal_entries.csv").read()
    charges_csv = open_url("https://data.zuihe.com/dbd/core/state_08/charges.csv").read()
    clearing_records_csv = open_url("https://data.zuihe.com/dbd/core/state_08/clearing_records.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')
    result = pd.read_sql_query("""
        SELECT CASE WHEN balance<10000 THEN '0-1万' WHEN balance<100000 THEN '1-10万'
                    WHEN balance<500000 THEN '10-50万' ELSE '50万+' END AS balance_range,
               COUNT(*) AS account_count, SUM(balance) AS total_balance
        FROM savings_accounts GROUP BY balance_range
        ORDER BY CASE balance_range WHEN '0-1万' THEN 1 WHEN '1-10万' THEN 2 WHEN '10-50万' THEN 3 ELSE 4 END
    """, conn)
    print(result.to_string(index=False))
    conn.close()