diff --git a/体测单位/北海炼化.ipynb b/体测单位/北海炼化.ipynb
index f4d51d2..f0ac1ba 100644
--- a/体测单位/北海炼化.ipynb
+++ b/体测单位/北海炼化.ipynb
@@ -993,7 +993,7 @@
     "import json\n",
     "\n",
     "\n",
-    "wb = openpyxl.load_workbook('data/北海炼化人员信息（2023年）.xlsx')\n",
+    "wb = openpyxl.load_workbook('data/北海炼化人员信息（2023年） (更新).xlsx')\n",
     "sheet = wb.active\n",
     "# sheets = wb.sheetnames\n",
     "person = {}\n",
@@ -1088,7 +1088,7 @@
     "with open(filename,'r') as fl:\n",
     "    dict1 = json.load(fl) \n",
     "\n",
-    "filename = 'data/places_result_20231119.csv'\n",
+    "filename = 'data/places_result_20231122.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",
@@ -1378,41 +1378,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 108,
+   "execution_count": null,
    "id": "6faef501-54eb-436b-8c51-093a05c38686",
    "metadata": {
-    "execution": {
-     "iopub.execute_input": "2023-11-19T04:47:58.763430Z",
-     "iopub.status.busy": "2023-11-19T04:47:58.763036Z",
-     "iopub.status.idle": "2023-11-19T04:47:58.849448Z",
-     "shell.execute_reply": "2023-11-19T04:47:58.848994Z",
-     "shell.execute_reply.started": "2023-11-19T04:47:58.763379Z"
-    },
     "tags": []
    },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "18610346996\n",
-      "13210047238\n",
-      "13397798753\n",
-      "17261940944\n",
-      "18177994725\n",
-      "17777918502\n",
-      "19377997709\n",
-      "15677905862\n",
-      "15133906281\n",
-      "15207800631\n",
-      "18177980276\n",
-      "13398691539\n",
-      "18177981289\n",
-      "19377992679\n",
-      "18169792763\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "import json\n",
     "import csv\n",
@@ -1446,10 +1417,522 @@
     "        "
    ]
   },
+  {
+   "cell_type": "markdown",
+   "id": "95e2d0f2-c0c7-4647-a34d-1b998ca89293",
+   "metadata": {},
+   "source": [
+    "## 统计各部门测试情况"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 130,
+   "id": "d554c400-8f2f-4f60-97ba-ab5ace254d6f",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-11-22T02:55:08.341413Z",
+     "iopub.status.busy": "2023-11-22T02:55:08.340762Z",
+     "iopub.status.idle": "2023-11-22T02:55:08.418936Z",
+     "shell.execute_reply": "2023-11-22T02:55:08.417041Z",
+     "shell.execute_reply.started": "2023-11-22T02:55:08.341353Z"
+    },
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "import json\n",
+    "\n",
+    "filename = 'data/result_北海炼化2023.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "filename = 'data/北海炼化2023年.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict2 = json.load(fl)\n",
+    "\n",
+    "dict3 = {}\n",
+    "for k, v in dict2.items():\n",
+    "    unit = v['unit']\n",
+    "    #sub_unit = v['sub_unit']\n",
+    "    dict3.setdefault(unit,{})\n",
+    "    dict3[unit].setdefault('人数',0)\n",
+    "    #dict3[unit].setdefault(sub_unit,0)\n",
+    "    #dict3[unit][sub_unit] = dict3[unit][sub_unit] + 1\n",
+    "    dict3[unit]['人数'] = dict3[unit]['人数'] + 1\n",
+    "\n",
+    "title =['单位','体测人数']\n",
+    "list1 = []\n",
+    "for k,v in dict1.items():    \n",
+    "    unit = v['unit']\n",
+    "    #sub_unit = v['sub_unit']\n",
+    "    #dict3[unit][sub_unit] = dict3[unit][sub_unit] - 1\n",
+    "    dict3[unit].setdefault('体测人数',0)\n",
+    "    dict3[unit]['体测人数'] = dict3[unit]['体测人数'] + 1\n",
+    "for k, v in dict3.items():\n",
+    "    list2 = [k,v['人数'],v['体测人数']]\n",
+    "    list1.append(list2)\n",
+    "\n",
+    "filename = 'data/北海炼化部门测试情况.xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "sheet.append(title)\n",
+    "for row in list1:\n",
+    "    sheet.append(row)\n",
+    "    \n",
+    "wb.save(filename)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14101d8f-4e74-4982-a984-c0ebe4099107",
+   "metadata": {},
+   "source": [
+    "## 生成新格式测试成绩"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 122,
+   "id": "f21b1c8d-1b2d-45f6-8f35-4a62d5b944f7",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-11-22T02:46:15.092874Z",
+     "iopub.status.busy": "2023-11-22T02:46:15.092396Z",
+     "iopub.status.idle": "2023-11-22T02:46:15.175664Z",
+     "shell.execute_reply": "2023-11-22T02:46:15.174984Z",
+     "shell.execute_reply.started": "2023-11-22T02:46:15.092847Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "697\n",
+      "697\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import datetime\n",
+    "import csv\n",
+    "from datetime import date\n",
+    "\n",
+    "filename = '../item.json'\n",
+    "item = {}\n",
+    "unit = {}\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "for k,v in dict1.items():\n",
+    "    item[k] = v\n",
+    "item['1']['en'] = 'lung'\n",
+    "item['2']['en'] = 'grip'\n",
+    "item['3']['en'] = 'flexion'\n",
+    "item['4']['en'] = 'jump'\n",
+    "item['5']['en'] = 'pushup'\n",
+    "item['6']['en'] = 'balance'\n",
+    "item['7']['en'] = 'reaction'\n",
+    "item['8']['en'] = 'step'\n",
+    "item['9']['en'] = 'situp'\n",
+    "item['10']['en'] = 'height'\n",
+    "item['11']['en'] = 'weight'\n",
+    "\n",
+    "\n",
+    "re_ta = {}\n",
+    "dict1 = {}\n",
+    "list1 = []\n",
+    "filename = 'data/北海炼化2023年.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "\n",
+    "filename = 'data/places_result_20231122.csv'\n",
+    "with open(filename,'r',newline='') as csv_file:\n",
+    "    fl = csv.reader(csv_file,delimiter=',')\n",
+    "    header = next(fl)    \n",
+    "    for line in fl:\n",
+    "        #line = re.sub('[\\r\\n\\f ]{1,}', '', line)\n",
+    "        list1.append(line)\n",
+    "#f_item = ['lung','grip','flexion','jump','balance','reaction','step','situp']\n",
+    "#m_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
+    "for result in list1:\n",
+    "    user = str(result[2])\n",
+    "    rq = date.fromisoformat(result[6].replace('/','-'))\n",
+    "    if user in dict1.keys():\n",
+    "        l_xm = []\n",
+    "        m_item = str(result[3])    \n",
+    "        re_ta.setdefault(user,{})    \n",
+    "        re_ta[user]['name'] = dict1[user]['name']\n",
+    "        re_ta[user]['sex'] = dict1[user]['sex']\n",
+    "        re_ta[user]['phone'] = dict1[user]['phone']\n",
+    "        if dict1[user]['sex'] == '男':\n",
+    "            l_xm = ['weight','height','lung','grip','flexion','jump','pushup','balance','reaction','step']\n",
+    "        else:\n",
+    "            l_xm = ['weight','height','lung','grip','flexion','jump','balance','reaction','step','situp']\n",
+    "        re_ta[user]['unit'] = dict1[user]['unit']\n",
+    "        birth = date.fromisoformat(dict1[user]['birth'].replace('/','-'))\n",
+    "        #nian = int(birth[0].strip())\n",
+    "        #yue = int(birth[1].strip())\n",
+    "        #ri = int(birth[2].strip())\n",
+    "        #print(k,nian,yue,ri)\n",
+    "        item_name = item[m_item]['en']        \n",
+    "        if item_name in l_xm:            \n",
+    "            days = (rq-birth).days        \n",
+    "            re_ta[user]['age'] = int(days/365)\n",
+    "            re_ta[user]['month'] = int(days/365*12)\n",
+    "            re_ta[user]['rq'] = result[6]\n",
+    "\n",
+    "\n",
+    "            re_ta[user].setdefault(item_name,{})  \n",
+    "            score = int(result[4])/item[m_item]['divisor']    \n",
+    "            re_ta[user][item_name]['成绩'] = f'{score} {item[m_item][\"unit\"]}'\n",
+    "print(len(re_ta))\n",
+    "filename = 'data/result_北海炼化2023.json'\n",
+    "\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(re_ta, fl, ensure_ascii=False) \n",
+    "print(len(re_ta))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "89a02e6b-0418-4516-a9e0-12364aa38783",
+   "metadata": {},
+   "source": [
+    "## 生成测试得分"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 123,
+   "id": "9ca97d8f-6320-48f1-9a16-2d34167dac19",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-11-22T02:46:23.851352Z",
+     "iopub.status.busy": "2023-11-22T02:46:23.850893Z",
+     "iopub.status.idle": "2023-11-22T02:46:23.961867Z",
+     "shell.execute_reply": "2023-11-22T02:46:23.961246Z",
+     "shell.execute_reply.started": "2023-11-22T02:46:23.851325Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok!\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import time\n",
+    "\n",
+    "filename = '../item.json'\n",
+    "item = {}\n",
+    "unit = {}\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict3 = json.load(fl) \n",
+    "for k,v in dict3.items():\n",
+    "    item[k] = v\n",
+    "item['1']['en'] = 'lung'\n",
+    "item['2']['en'] = 'grip'\n",
+    "item['3']['en'] = 'flexion'\n",
+    "item['4']['en'] = 'jump'\n",
+    "item['5']['en'] = 'pushup'\n",
+    "item['6']['en'] = 'balance'\n",
+    "item['7']['en'] = 'reaction'\n",
+    "item['8']['en'] = 'step'\n",
+    "item['9']['en'] = 'situp'\n",
+    "item['10']['en'] = 'height'\n",
+    "item['11']['en'] = 'weight'\n",
+    "\n",
+    "filename = 'data/体质检测标准 (1).json'    \n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "\n",
+    "\n",
+    "def cal_score(data1):\n",
+    "    #data = {'name':'张三','sex':'M','age':37,'item':'StepExperiment','result':46}     \n",
+    "    person = dict1['person']\n",
+    "    criteria = dict1['criteria']\n",
+    "    if data1['age'] >59:\n",
+    "        data1['age'] = 59\n",
+    "    if data1['age'] <20:\n",
+    "        data1['age'] = 20\n",
+    "    info = data1['sex']+str(data1['age'])\n",
+    "    bz = person[info]\n",
+    "    mx = criteria[bz][data1['item']]\n",
+    "    result = data1['result']    \n",
+    "    if data1['item'] == 'reaction':\n",
+    "        for bz1 in mx:\n",
+    "            if result > bz1:\n",
+    "                #print(bz1)\n",
+    "                score = mx.index(bz1,0)\n",
+    "                break\n",
+    "            else:\n",
+    "                score = 5\n",
+    "    else:\n",
+    "        for bz1 in mx:\n",
+    "            if result < bz1:\n",
+    "                #print(bz1)\n",
+    "                score = mx.index(bz1,0)\n",
+    "                break\n",
+    "            else:\n",
+    "                score = 5\n",
+    "    return(score)\n",
+    "filename = 'data/体质检测标准_BMI.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict4 = json.load(fl) \n",
+    "    \n",
+    "def cal_bmi(data1):\n",
+    "   # data = {'name':'张三','sex':'M','age':37,'item':'HeightWeight','result':'177.7,97.0'}\n",
+    "    person = dict4['person']\n",
+    "    criteria = dict4['criteria']\n",
+    "    if data1['age'] > 59:\n",
+    "        data1['age'] = 59\n",
+    "    if data1['age'] <20:\n",
+    "        data1['age'] = 20\n",
+    "    info = data1['sex']+str(data1['age'])\n",
+    "    bz = person[info]\n",
+    "    #print(bz)\n",
+    "    result = data1['result']\n",
+    "    #print(data1['code'],result)\n",
+    "    height = int(float(result.split(',')[0]))\n",
+    "    weight = float(result.split(',')[1])\n",
+    "    if str(height) not in criteria[bz]:\n",
+    "        score = 1\n",
+    "    else:   \n",
+    "        mx = criteria[bz][str(height)]\n",
+    "        if weight < mx[0]:\n",
+    "            score = 1\n",
+    "        elif weight < mx[1]:\n",
+    "            score = 3\n",
+    "        elif weight < mx[2]:\n",
+    "            score = 5    \n",
+    "        elif weight <= mx[3]:\n",
+    "            score = 3  \n",
+    "        elif weight > mx[3]:\n",
+    "            score = 1\n",
+    "    return score\n",
+    "    \n",
+    "    \n",
+    "\n",
+    "#list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp','height','weight']\n",
+    "list_item = ['lung','grip','flexion','jump','pushup','balance','reaction','step','situp']\n",
+    "filename = 'data/result_北海炼化2023.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict2 = json.load(fl) \n",
+    "for k, v in dict2.items():\n",
+    "    #print(k)\n",
+    "    if v['sex'] == '男':\n",
+    "        sex = 'M'\n",
+    "    else:\n",
+    "        sex = 'F'            \n",
+    "    if 'height' in v.keys() and 'weight' in v.keys():\n",
+    "        bmi_data = v['height']['成绩'].split()[0]+','+ v['weight']['成绩'].split()[0]\n",
+    "        data1 = {'code':k,'sex':sex,'age':v['age'],'item':'HeightWeight','result':bmi_data}\n",
+    "        dict2[k]['bmi'] = {}\n",
+    "        dict2[k]['bmi']['成绩'] = bmi_data\n",
+    "        dict2[k]['bmi']['score'] = cal_bmi(data1)\n",
+    "    for item_en in list_item:\n",
+    "        if item_en in v.keys():            \n",
+    "            data1 = {'code':k,'sex':sex,'age':v['age'],'item':item_en,'result':float(v[item_en]['成绩'].split()[0])}\n",
+    "            #print(k,v['name'])\n",
+    "            dict2[k][item_en]['score'] = cal_score(data1)\n",
+    "            #print(k,v[item_en]['成绩'],cal_score(data1))\n",
+    "\n",
+    "filename = f'data/result_北海炼化2023.json'\n",
+    "with open(filename,'w') as fl:\n",
+    "    json.dump(dict2,fl , ensure_ascii=False) \n",
+    "print('ok!')        "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "abace6bc-9c99-497d-a1c1-9ff045ccfc03",
+   "metadata": {},
+   "source": [
+    "## 生成体测成绩明细表"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 132,
+   "id": "f0608de5-07ae-458c-999e-60968314f058",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-11-22T03:00:59.351223Z",
+     "iopub.status.busy": "2023-11-22T03:00:59.350945Z",
+     "iopub.status.idle": "2023-11-22T03:00:59.703401Z",
+     "shell.execute_reply": "2023-11-22T03:00:59.702798Z",
+     "shell.execute_reply.started": "2023-11-22T03:00:59.351200Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "ok\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import openpyxl\n",
+    "\n",
+    "items = ['lung','grip','flexion','jump','pushup','situp','balance','reaction','step']\n",
+    "bmi = ['height','weight']\n",
+    "title = ['编号','姓名','性别','单位/部门','身高','体重','bmi','肺活量','','握力','','坐位体前屈','','纵跳','','俯卧撑','','一分钟仰卧起坐','','单脚站立','','选择反应时','','台阶指数']\n",
+    "\n",
+    "filename = 'data/result_北海炼化2023.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl)\n",
+    "\n",
+    "list1 = []\n",
+    "for k, v in dict1.items():    #print(k,dict2[str(k)]['name'])\n",
+    "    list2 = []\n",
+    "    list2.append(str(k).rjust(5,'0'))\n",
+    "    list2.append(dict1[k]['name'])    \n",
+    "    list2.append(dict1[k]['sex'])\n",
+    "    list2.append(dict1[k]['unit'])\n",
+    "    list2.append(dict1[k]['phone'])\n",
+    "    i = 0\n",
+    "    if 'bmi' in dict1[k].keys():\n",
+    "        list2.append(dict1[k]['height']['成绩'])\n",
+    "        list2.append(dict1[k]['weight']['成绩'])\n",
+    "        list2.append(dict1[k]['bmi']['score'])\n",
+    "        i+=1\n",
+    "    else:\n",
+    "        list2.append('') \n",
+    "        list2.append('') \n",
+    "        list2.append('') \n",
+    "           \n",
+    "        \n",
+    "    for item in items:\n",
+    "        if item in dict1[k].keys():\n",
+    "            list2.append(dict1[k][item]['成绩'])\n",
+    "            list2.append(dict1[k][item]['score']) \n",
+    "            i+=1\n",
+    "        elif item =='name':\n",
+    "            list2.append(dict1[k][item])\n",
+    "        else:\n",
+    "            list2.append('') \n",
+    "            list2.append('') \n",
+    "    if i>2:\n",
+    "        list1.append(list2)\n",
+    "filename = 'data/北海炼化体测情况表.xlsx'\n",
+    "wb = openpyxl.Workbook()\n",
+    "sheet = wb.active\n",
+    "sheet.append(title)\n",
+    "for row in list1:\n",
+    "    sheet.append(row)\n",
+    "    \n",
+    "wb.save(filename)\n",
+    "print('ok')       "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5f46d541-c7db-4adf-b452-d901c757e9c5",
+   "metadata": {},
+   "source": [
+    "## 查询参加问卷未参加体测人员"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 134,
+   "id": "2c867c7f-00b4-4a41-a6eb-18d6c39fa4cc",
+   "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-11-22T03:28:56.932672Z",
+     "iopub.status.busy": "2023-11-22T03:28:56.932375Z",
+     "iopub.status.idle": "2023-11-22T03:28:56.981535Z",
+     "shell.execute_reply": "2023-11-22T03:28:56.980516Z",
+     "shell.execute_reply.started": "2023-11-22T03:28:56.932646Z"
+    },
+    "tags": []
+   },
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "18777937356\n",
+      "13768090960\n",
+      "18977916950\n",
+      "18277917797\n",
+      "18092434264\n",
+      "13977982222\n",
+      "13877944139\n",
+      "13517796512\n",
+      "13977933993\n",
+      "15613726645\n",
+      "13877935443\n",
+      "13768091811\n",
+      "13877923030\n",
+      "18092434264\n",
+      "18992865291\n",
+      "15577993102\n",
+      "18277917797\n",
+      "13977990782\n",
+      "18177980276\n",
+      "15224521321\n",
+      "18822081130\n",
+      "13807898246\n",
+      "18277917797\n",
+      "13768091811\n",
+      "13517790009\n",
+      "15143256015\n"
+     ]
+    }
+   ],
+   "source": [
+    "import json\n",
+    "import csv\n",
+    "import openpyxl\n",
+    "import time\n",
+    "from datetime import date\n",
+    "\n",
+    "filename = 'data/result_北海炼化2023.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict1 = json.load(fl) \n",
+    "\n",
+    "filename = 'data/北海炼化2023年.json'\n",
+    "with open(filename,'r') as fl:\n",
+    "    dict3 = json.load(fl)\n",
+    "\n",
+    "phone =  set()\n",
+    "phone1 =  set()\n",
+    "for k,v in dict3.items():\n",
+    "    phone.add(v['phone'])\n",
+    "for k,v in dict1.items():\n",
+    "    phone1.add(v['phone'])\n",
+    "list1 = []\n",
+    "filename = 'data/Survey_20231122.csv'\n",
+    "with open(filename,'r',newline='') as csv_file:\n",
+    "    fl = csv.reader(csv_file,delimiter=',')\n",
+    "    header = next(fl)    \n",
+    "    for line in fl:\n",
+    "        list1.append(line)\n",
+    "\n",
+    "for item in list1:\n",
+    "    if item[2] in phone and item[2] not in phone1:\n",
+    "        print(item[2])\n",
+    "        "
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d206f455-8563-405e-a00f-e8f055e266a0",
+   "id": "01444d7a-0a47-4cc4-881b-783100553cc1",
    "metadata": {},
    "outputs": [],
    "source": []
diff --git a/体测单位/安庆石化.ipynb b/体测单位/安庆石化.ipynb
index 363170d..44cb6d1 100644
--- a/体测单位/安庆石化.ipynb
+++ b/体测单位/安庆石化.ipynb
@@ -1221,12 +1221,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "id": "dcdd18b3-d7b7-49b1-b148-c2ea9a7799ff",
    "metadata": {
+    "execution": {
+     "iopub.execute_input": "2023-11-21T03:09:53.451357Z",
+     "iopub.status.busy": "2023-11-21T03:09:53.450510Z",
+     "iopub.status.idle": "2023-11-21T03:09:53.535389Z",
+     "shell.execute_reply": "2023-11-21T03:09:53.534089Z",
+     "shell.execute_reply.started": "2023-11-21T03:09:53.451280Z"
+    },
     "tags": []
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "3\n"
+     ]
+    }
+   ],
    "source": [
     "import json\n",
     "import csv\n",
@@ -1240,7 +1255,7 @@
     "wj_dm = {'psy_0556_sh':0,'tcm_0556_sh':1,'spine_0556_sh':2}\n",
     "list1 = []\n",
     "re_ta = {}\n",
-    "filename = 'data/Survey_20231023.csv'\n",
+    "filename = 'data/Survey_20231121.csv'\n",
     "with open(filename,'r',newline='') as csv_file:\n",
     "    fl = csv.reader(csv_file,delimiter=',')\n",
     "    header = next(fl)    \n",