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   "execution_count": null,
   "id": "d90337d3",
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   "source": [
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "\n",
    "# 读取数据\n",
    "housing_data = pd.read_csv('housing_transactions.csv')\n",
    "market_data = pd.read_csv('market_data.csv')\n",
    "\n",
    "# 时间格式转换\n",
    "housing_data['transaction_date'] = pd.to_datetime(housing_data['transaction_date'])\n",
    "market_data['date'] = pd.to_datetime(market_data['date'])\n",
    "\n",
    "# 业务机会点一：房屋定价优化\n",
    "# 统计不同区域的平均房价，识别价值洼地和高溢价区域\n",
    "avg_price_by_region =____________________\n",
    "\n",
    "print(\"房屋定价优化：不同区域的平均房价\")\n",
    "print(avg_price_by_region)\n",
    "avg_price_by_region.plot(kind='bar', title='不同区域的平均房价')\n",
    "plt.xlabel('区域')\n",
    "plt.ylabel('平均房价')\n",
    "plt.show()\n",
    "\n",
    "# 业务机会点二：购房需求洞察\n",
    "# 统计不同房型的交易数量，识别市场需求偏好\n",
    "transaction_count_by_type = ____________________\n",
    "\n",
    "print(\"\\n购房需求洞察：不同房型的交易数量\")\n",
    "print(transaction_count_by_type)\n",
    "transaction_count_by_type.plot(kind='bar', title='不同房型的交易数量')\n",
    "plt.xlabel('房型')\n",
    "plt.ylabel('交易数量')\n",
    "plt.show()\n",
    "\n",
    "# -------------------------\n",
    "# 业务机会点三：市场风险预警\n",
    "# -------------------------\n",
    "# 按月统计平均房价(monthly_price), 可填写多行代码段\n",
    "monthly_price = ____________________\n",
    "____________________________________\n",
    "____________________________________\n",
    "\n",
    "# 按月统计平均利率(monthly_rate), 可填写多行代码段\n",
    "monthly_rate = ____________________\n",
    "____________________________________\n",
    "____________________________________\n",
    "\n",
    "# 合并房价和利率数据\n",
    "risk_trend = pd.merge(monthly_price, monthly_rate, on='month', how='inner')\n",
    "\n",
    "print(\"\\n市场风险预警：房价与利率趋势\")\n",
    "print(risk_trend)\n",
    "risk_trend.plot(x='month', y=['avg_price','interest_rate'], kind='line', marker='o', title='房价与利率趋势')\n",
    "plt.xlabel('月份')\n",
    "plt.ylabel('指标值')\n",
    "plt.show()\n",
    "\n",
    "\n"
   ]
  }
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