查询大额交易（≥5万）按渠道统计

def solve():
    from pyodide.http import open_url
    offices_csv = open_url("https://data.zuihe.com/dbd/core/state_07/offices.csv").read()
    staff_csv = open_url("https://data.zuihe.com/dbd/core/state_07/staff.csv").read()
    savings_products_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_products.csv").read()
    clients_csv = open_url("https://data.zuihe.com/dbd/core/state_07/clients.csv").read()
    savings_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_accounts.csv").read()
    savings_account_transactions_csv = open_url("https://data.zuihe.com/dbd/core/state_07/savings_account_transactions.csv").read()
    gl_accounts_csv = open_url("https://data.zuihe.com/dbd/core/state_07/gl_accounts.csv").read()
    journal_entries_csv = open_url("https://data.zuihe.com/dbd/core/state_07/journal_entries.csv").read()
    clearing_records_csv = open_url("https://data.zuihe.com/dbd/core/state_07/clearing_records.csv").read()
    import sqlite3, pandas as pd
    from io import StringIO
    conn = sqlite3.connect(':memory:')
    pd.read_csv(StringIO(savings_account_transactions_csv)).to_sql('savings_account_transactions', conn, index=False, if_exists='replace')
    result = pd.read_sql_query("""
        SELECT channel, COUNT(*) AS large_tx_count, SUM(amount) AS large_tx_amount
        FROM savings_account_transactions WHERE amount>=50000
        GROUP BY channel ORDER BY large_tx_amount DESC
    """, conn)
    print(result.to_string(index=False))
    conn.close()