帮我设计一个数据质量评估分析工具脚本 需要兼容oracle数据库 评价指标包括规范性、完整性、准确性、一致性、时效性、可访问性

设计一个数据质量评估分析工具脚本，用于Oracle数据库，我们可以采用Python语言（如结合pandas库），因为Python有丰富的数据处理和SQL查询能力。以下是基本框架：

import pandas as pd
import cx_Oracle
from datetime import datetime

# 定义函数连接到Oracle数据库
def connect_to_oracle(user, password, db_name):
    connection = cx_Oracle.connect(user, password, db_name)
    return connection.cursor()

# 数据质量评价指标函数
def data_quality_analysis(cursor, table_name, date_column='date'):
    # 规范性检查
    query规范化 = f"SELECT COUNT(*) FROM {table_name} WHERE column_name IS NULL"
   规范化_count = cursor.execute(query规范化).fetchone()[0]
    
    # 完整性检查
    query完整性 = f"SELECT COUNT(*) FROM {table_name} WHERE column_name NOT IN (SELECT distinct value FROM another_table)"
    completeness_count = cursor.execute(query完整性).fetchone()[0]

    # 准确性检查
    query准确性 = f"SELECT COUNT(*) FROM {table_name} WHERE (column_name != expected_value) AND (expected_value IS NOT NULL)"
    accuracy_count = cursor.execute(query准确性).fetchone()[0]

    # 一致性检查
    query一致性 = f"SELECT COUNT(*) FROM {table_name} WHERE column1 != column2 WHEN condition"
    consistency_count = cursor.execute(query一致性).fetchone()[0]

    # 时效性检查
    query时效性 = f"SELECT COUNT(*) FROM {table_name} WHERE date_column < DATE_SUB(sysdate, INTERVAL '7 DAY')"
    timeliness_count = cursor.execute(query时效性).fetchone()[0]

    # 可访问性检查（假设通过访问权限判断）
    query_accessibility = "SELECT COUNT(*) FROM all_tab_cols WHERE owner = USER && table_name = :table_name"
    accessibility_count = cursor.execute(query_accessibility, {"table_name": table_name}).fetchone()[0]

    return {
        "规范化": 规范化_count,
        "完整性": 完整性_count,
        "准确性": 准确性_count,
        "一致性": 一致性_count,
        "时效性": timeliness_count,
        "可访问性": accessibility_count
    }

# 使用示例
cursor = connect_to_oracle("your_username", "your_password", "your_database")
table_name = "your_table"
data = data_quality_analysis(cursor, table_name)

print(f"数据质量评估结果:\n{data}")