commit 2e2ac83580c79e254a82056a9483ad9693daa444
Author: Tai Nguyen Le <tainl@officevnpay.com>
Date:   Fri Dec 12 12:27:18 2025 +0700

    'f'

diff --git a/LLV_tong_hop_chuan_hoa.xlsx b/LLV_tong_hop_chuan_hoa.xlsx
new file mode 100644
index 0000000..736df15
Binary files /dev/null and b/LLV_tong_hop_chuan_hoa.xlsx differ
diff --git a/phan_tich_vi_tri_thuc_hien.ipynb b/phan_tich_vi_tri_thuc_hien.ipynb
new file mode 100644
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+++ b/phan_tich_vi_tri_thuc_hien.ipynb
@@ -0,0 +1,1492 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "eb04f53e",
+   "metadata": {},
+   "source": [
+    "# 📊 Phân tích dữ liệu: Mối quan hệ giữa 'Vị trí thực hiện' và các yếu tố khác\n",
+    "\n",
+    "Tập dữ liệu này được tổng hợp từ nhiều tòa nhà, tập trung phân tích theo chiều 'Vị trí thực hiện' để rút ra các insight hữu ích."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "c0413c4a",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "\n",
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Đọc dữ liệu\n",
+    "df = pd.read_excel(\"LLV_tong_hop_chuan_hoa.xlsx\")\n",
+    "\n",
+    "# # Chuyển HH:MM:SS sang phút\n",
+    "# df['Tổng thời gian thực hiện'] = pd.to_timedelta(df['Tổng thời gian thực hiện'], errors='coerce')\n",
+    "# df['Thời gian (phút)'] = df['Tổng thời gian thực hiện'].dt.total_seconds() / 60\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "id": "a8c3d05b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Vị trí thực hiện\n",
+       "VT5                       275\n",
+       "VT4                       265\n",
+       "VT6                       264\n",
+       "VT2                       255\n",
+       "VT3                       250\n",
+       "VT7                       243\n",
+       "VT1                       241\n",
+       "VT8                       229\n",
+       "VT9                       226\n",
+       "VT10                      170\n",
+       "VT11                      168\n",
+       "VT12                      165\n",
+       "VT13                      153\n",
+       "VT14                      138\n",
+       "VT18                       81\n",
+       "VT17                       80\n",
+       "VT15                       66\n",
+       "VT16                       59\n",
+       "VT19                       49\n",
+       "VT20                       49\n",
+       "VT25                       41\n",
+       "VT23                       34\n",
+       "VT21                       34\n",
+       "VT22                       33\n",
+       "VT24                       30\n",
+       "VT26                       21\n",
+       "VT32                       13\n",
+       "VT29                        8\n",
+       "VT27                        6\n",
+       "VT28                        6\n",
+       "VT30                        6\n",
+       "VT31                        6\n",
+       "VT1,2,3,4,5,6,7,8,9,10      4\n",
+       "VT1,2,3,4,5,6               2\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df['Vị trí thực hiện'].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "94bad52a",
+   "metadata": {},
+   "source": [
+    "## Phân tích 1: Top 10 vị trí thực hiện nhiều công việc nhất"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "da1d943e",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "\n",
+    "top_vitri = df['Vị trí thực hiện'].value_counts().head(10)\n",
+    "top_vitri.plot(kind='bar', title='Top 10 vị trí thực hiện nhiều công việc nhất')\n",
+    "plt.xlabel('Vị trí thực hiện')\n",
+    "plt.ylabel('Số lượng công việc')\n",
+    "plt.grid(axis='y')\n",
+    "plt.xticks(rotation=45)\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "04d6853a",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\tainl\\AppData\\Local\\Temp\\ipykernel_33996\\563508294.py:17: FutureWarning: \n",
+      "\n",
+      "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
+      "\n",
+      "  sns.barplot(x=vt_counts.index, y=vt_counts.values, palette=\"Blues_d\")\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1400x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "\n",
+    "# Load data\n",
+    "df = pd.read_excel(\"LLV_tong_hop_chuan_hoa.xlsx\")\n",
+    "\n",
+    "# --- 1. Đếm số lượng mỗi Vị trí ---\n",
+    "vt_counts = df[\"Vị trí thực hiện\"].value_counts()\n",
+    "\n",
+    "# --- 2. Loại bỏ 2 giá trị cuối ---\n",
+    "to_remove = [\"VT1,2,3,4,5,6,7,8,9,10\", \"VT1,2,3,4,5,6\"]\n",
+    "vt_counts = vt_counts[~vt_counts.index.isin(to_remove)]\n",
+    "\n",
+    "# --- 3. Vẽ biểu đồ ---\n",
+    "plt.figure(figsize=(14,7))\n",
+    "sns.barplot(x=vt_counts.index, y=vt_counts.values, palette=\"Blues_d\")\n",
+    "\n",
+    "plt.xticks(rotation=90)\n",
+    "plt.xlabel(\"Vị trí thực hiện\")\n",
+    "plt.ylabel(\"Số lượng công việc\")\n",
+    "plt.title(\"Phân bố tần suất Vị trí thực hiện\")\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "b2a02e98",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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dz66aNWumnj17atOmTYqMjFRkZKQ2btyoXr16qVmzZmbHs6tWrVrpiy++iNU+a9YstWzZ0oRE5vntt98UGBio48ePa9++ffriiy/Uo0cPvf3227p69arZ8ezurbfe0rp168yOAdgdfWxbjtzHfpKj16LUHHGjL2WLmiMGNUeMggUL6rXXXlOVKlVsHq+99prD7bNBzRGD94uEYfmpNCJ79uy6ffu2Hj58qIwZMyp9+vQ2x69cuWJSMvsrXbq0Tpw4IcMw5OPjE+taONrmbOvWrdOkSZM0c+bMWHdCOJJOnTrphRde0MiRIxUcHKzu3burYsWK2r59u/7v//5Pc+bMMTui3fTq1Uvz5s1TYGCgAgMDY/2OTJ482aRk5vniiy80evRonTt3TpLk4+OjESNGqE2bNiYns6/79++rdevW+u6775Qu3aPJnFFRUWrTpo2+/PJLZciQweSEyatv377Wjx8+fKigoCAVKFBAFSpUkCRt27ZNZ8+eVZs2bTRt2jSzYtqdi4uL+vTpo48++sj6fnHixAm1bt1aYWFh+vvvv01OaF9jx47V5MmTVa9ePQUEBMR6D31yQz8graCPbYs+dgxq0RiOXnPQl3o6ao5HHL3meJyzs7POnz+vPHny2LRfvnxZefLkcajlp6g5bPF+8WwMaqQRwcHBTz3uSBstjRw58qnHhw8fbqckKQNFxiNRUVGKioqydpqWLl2qzZs3y9fXV127dnWojlO1atXiPWaxWLRx40Y7pklZLl68KDc3N2XOnNnsKKY6duyY9uzZIzc3NwUEBMjb29vsSHbxtN+Nxzna70loaKiqVKkSqz0qKkqjR4/WsGHDTEhlnqfdNWexWHTy5Ek7pgHshz62LfrYMahFYzh6zUFfKmGoOR5x1JrjcU5OTvr333+VO3dum/YzZ86oWLFiunXrlknJ7I+aI268X8SPQQ0gjaPIAAAAAJIWfWwAQGJFz2qaOnWq3n33XWXMmNF6LDIyUn/88YecnZ3122+/mRURSPEY1EiD7ty5owcPHti0ZcmSxaQ0QMpx9+5d7du3TxcuXFBUVJTNsYYNG5qUCgAAAEgbqEWpOQA8W/SsptDQUL3yyis2s7gyZMggHx8f9e/fX/7+/mZFBFI8BjXSiFu3bmnQoEFasmSJdWOyx6X1dfhy5Miho0ePKleuXMqePbssFku85zrSVPAnOXKRsXbtWrVp00aXLl2KdcxisaT535En7dixQ999953CwsJ0//59m2NLly41KRUApA5///23VqxYEed7qCPuS4S0iz52wjhyH1uiFn0cNQeA59G+fXtNnTrVof7PAJJKOrMDIGkMHDhQmzZt0ueff642bdpoxowZ+ueffzRz5kyNGzfO7HjJ7tNPP5W7u7v146cVXI6GIuOR9957T2+99ZY+/PBDeXh4mB3H7j7//HM1a9ZMOXLk0KJFi9S6dWvVrFlToaGheuONN3T8+HEdPnxYb7/9ttlRASBFCwkJUcOGDVWwYEEdOXJEJUqU0OnTp2UYhsqUKWN2PCBJ0ceOH33sGI5eiz7O0WsOAM9n7ty5ZkcAUi1maqQRBQoU0Lx581S1alVlyZJFu3btkp+fn+bPn69vv/1Wq1evNjsi7OTw4cP6888/1bJlS0lS9+7dtWnTJo0aNSrOIiP6vLQuS5Ys2r17t3x9fc2OYopBgwZp5cqVOnjwoAIDA/Xuu++qR48e8vLy0t69e5UnTx5NnjxZp0+f1meffWZ23GR1/PhxHTx4kOn/QBxu376tf/75h6nuj4n+Y92XX36pl156SeXKlVPt2rU1atQoubu7W99DW7Zsqdq1a6tr165mRwaQDOhjx49aNIaj1xyIQc2BhLh165bGjRunkJCQOJesO3nypEnJkhc1B5ICgxppRObMmXXgwAF5e3srX758Wrp0qcqVK6dTp04pICBAN2/eNDui3ezatUvp06dXQECAJOnHH3/U3LlzVaxYMY0YMcJmrcK0qESJEqpbt64iIiI0fvx4BQQEUGRI6tChgypVqqSOHTuaHcUUDx8+VMaMGXXmzBn5+flp//79KliwoLy9vbVx40Zr4eXn56fjx4+bnDZ5lSxZUuXKlVO2bNk0btw4DRgw4KnnO9JSMvv27Yuz3WKxyNXVVQUKFJCLi4udU8GeatasqYiICLVq1Urvvfee9a7sEydOaO7cuTpx4oSmTp2qPHnyaO3atcqfP7+KFy9ucurklTdvXq1du1bTpk1T//79VbZsWe3Zs0e+vr7Knj27tmzZouLFi2vv3r1q1KiRTp8+bXZkIFnQx6aPHR9q0RiOXnMgBjVH/Kg5YjRv3lyhoaFq3bq1vLy8Ys2I7NWrl0nJkhc1x7OFhoZq4sSJOnTokCwWi4oWLaoBAwaocuXKZkdLMVh+Ko0oVKiQTp8+LW9vbxUrVkxLlixRuXLltHLlSmXLls3seHbVuXNnDR48WAEBATp58qTeeecdNW3aVN99951u376tKVOmmB0x2bVq1Ur379/X3bt3deXKFRUsWFDSozuHotc7fvXVVx3qbtLp06frrbfe0q+//qqAgAClT5/e5njPnj1NSmYfX3zxhXLnzq08efIoe/bs1uLyhRde0N69e+Xr66sbN24oIiLC5KTJ7/bt2+rdu7eOHz+ue/fuaffu3fGe62jLbJQqVeqp33P69On1zjvvaObMmXJ1dbVjMvtbsWJFnO3RxZafn5/1vTUtOXz4sNatW6e1a9fqzz//VKlSpfTbb7+pTp06qlSpkn755ReNHj1aefLk0b59+/TVV1/p+++/Nzt2smrQoIH+/vtvzZ49W5KUKVMm3bt3T9KjAY8TJ05Yi6y41lAH0gr62PSx40MtGsPRa47HOWpfKho1R/yoOWKsWbNGq1atUqVKlcyOYlfUHE+3YMECtW/fXk2bNlXPnj1lGIa2bt2q6tWrKygoSC1atDA7YspgIE2YPHmyMXXqVMMwDGPjxo2Gm5ubkSFDBsPJycmYMmWKyensK0uWLMbx48cNwzCMcePGGbVq1TIMwzC2bNli5MuXz8xodrFt2zZj79691ucBAQHG5s2bDcMwjJo1axr9+vUzDMMwpk6darzwwgumZDTD7NmzDWdnZyNz5syGt7e34ePjY30ULFjQ7HjJrl+/fsbBgwcNwzCMZs2aGRMnTjQM49F7R65cuYx3333XCAwMNJo0aWJmTLtYvXq1sWPHDrNjpEjLly83XnzxReOrr74y9u3bZ+zdu9f46quvjKJFixqLFi0yFixYYOTLl8/6PpKWWSwWw8nJybBYLDaP6DYnJyfjtddeM65cuWJ21CQ1ceJE45dffjG2bNlivPTSS8b169eN8uXLG5MmTTIMwzAyZ85snDhxwjAMw9i+fbuRN29eM+OaolGjRsasWbMMwzCMAQMGGH5+fsbHH39slClTxqhevbrJ6YDkQx+bPnZ8qEVjOHrN8ThH7UtFo+aIHzVHDB8fH2ud7kioOZ6uSJEixuTJk2O1T5o0yShSpIgJiVImBjXSqDNnzhg//PCDsWfPHrOj2J27u7tx9OhRwzAMo0aNGtaO9JkzZwxXV1czo5mCIuMRDw8PY/To0UZkZKTZUUx38eJFIywszDAMw4iKijImTZpkNGjQwOjdu3eaLSqQMC+//LKxdu3aWO1r1641Xn75ZcMwDGPZsmVGoUKF7B3N7jZs2GCUL1/e2LBhgxEREWFEREQYGzZsMCpUqGCsWrXK2LJli1G8eHGjQ4cOZkdNFp6ensaRI0cMwzCMTJkyGSdPnjQMw7bAOHXqlOHi4mJaRrOcOHHC+ofNW7duGV27djUCAgKMJk2aGKdPnzY5HZB86GPboo8dP0euRak5Yjh6Xwrxo+aIMX/+fOPNN980bt26ZXYUU1BzxC1DhgzGsWPHYrUfO3bM4a7F07CnBtKc119/Xfnz51eNGjXUsWNHHTx4UH5+fgoNDVXbtm0dfq3rsLAw7dy5U76+vipZsqTZcewmR44c2rFjB5v2IRZH3ZwtLm5ubtq9e7eKFCli03748GGVLl1ad+7c0enTp1WsWDHdvn3bpJT2UaJECc2aNUsVK1a0af/tt9/0v//9TwcOHNCGDRvUoUMHhYWFmZQy+dSqVUt+fn6aPn26ChQooCVLlqhixYrWjbELFSqkZcuWqX///jpx4oTZcQHYAX3sp3PUPjZsUXPEcPS+1JOoOWJQc8QoXbq0Tpw4IcMw5OPjE2vJul27dpmUzD6oOeLm5+enAQMGqHPnzjbtM2fO1MSJE3Xs2DGTkqUs7KmRin322WcJPteR1u6cMmWKWrZsqeXLl2vo0KHy8/OTJH3//fexOlRp2R9//KErV66oTp061rZ58+Zp+PDhunXrlho3bqxp06Y5zAZcbdu21eLFi/X++++bHSVFiIqK0vHjx+PsUL/22msmpTJHp06dnro5myMpUqSIxo0bp1mzZlk3fH3w4IHGjRtnLTr++ecfeXh4mBnTLk6cOKEsWbLEas+SJYu16PT390+zeyisW7dOX375pSIiItSiRQsNGjRI3333nSwWi6KiovTbb7+pf//+atOmjdlR7W7Hjh2KiopS+fLlbdr/+OMPOTs7q2zZsiYlA5IXfexH6GM/Qi0aN2qOGI7el3oSNUcMao4YjRs3NjuCqag54tavXz/17NlTe/bsUcWKFWWxWLRlyxYFBQVp6tSpZsdLMZipkYoldFMti8XiUKP+8bl7966cnZ1jjXynVXXq1FHVqlU1aNAgSdJff/2lMmXKqF27dipWrJgmTJigzp07a8SIEeYGtZOePXtq3rx5KlmypAIDA2P9HEyePNmkZPa3bds2tWjRQmfOnNGT/wVYLBZFRkaalMwc2bJlc8jN2eKydetWNWzYUE5OTgoMDJTFYtG+ffsUGRmpn376SRUqVND8+fMVHh6uAQMGmB03Wb366qtyd3fXvHnzlDt3bknSxYsX1aZNG926dUu//PKLNmzYoG7duuno0aMmp01eDx48ULt27bRo0SIZhqF06dIpMjJSLVq0UFBQkJydnc2OaFflypXTwIED9eabb9q0L126VOPHj9cff/xhUjLAHPSxHbOPTS0aN2qOGPSlbFFzxKDmQFyoOWwtW7ZMkyZN0qFDhyRJRYsW1YABA9SoUSOTk6UcDGoAaZSXl5dWrlxpvWN06NChCg0N1ZYtWyRJ3333nYYPH66DBw+aGdNuqlWrFu8xi8WijRs32jGNuUqVKqXChQtr5MiRcd4llDVrVpOSmaNgwYJavXq1ihYtanaUFOHmzZtasGCBjh49KsMwVKRIEbVo0ULu7u5mR7OrI0eOqFGjRjp16pTy588vi8WisLAwFSpUSD/++KMKFy6s5cuX68aNG2rdurXZce3ixIkT2r17t6KiolS6dGn5+/ubHckUmTNn1r59+1SoUCGb9lOnTikwMFA3btwwKRkAe6CPjaeh5ohBX8oWNYctag7Eh5oDCcWgBpBGubq66tixY8qfP7+kR3fK1K5dWx988IEk6fTp0woICOCPLw4oU6ZM2rt3r3XZCEe3YMEC/fjjjwoODlbGjBnNjoMUxDAM/fzzzzbFVs2aNeXk5GR2NLvo2bOnhg8frpw5c5odJUXJmTOnfvrpJ73yyis27Vu3blW9evV09epVk5IBsAf62EDCOXpf6nHUHIhLZGSkPv30Uy1ZskRhYWG6f/++zfErV66YlMx+qDmQWOypAaRRHh4e1rti7t+/r127dmnkyJHW4zdu3HCYZQJgq3z58jp+/LhDD2qULl3aZobK8ePH5eHh4ZCbsz3p6NGj2rx5c5z7rXz44YcmpTKHxWJR7dq1Vbt2bbOj2F2fPn00a9Ys3bp165mztxxpKQ1JqlmzpoYMGaIff/zRem2uXbum999/XzVr1jQ5HYDkRh8bSDhH7ktJ1BxPQ83xyMiRI/XVV1+pb9++GjZsmIYOHarTp09r+fLlDnEdqDnixmBXwjCoAaRRtWvX1uDBgzV+/HgtX75cGTNmVOXKla3H9+3bJ19fXxMTwiw9evRQv379FB4eroCAgFgd6sDAQJOS2Y+jb8gWn9mzZ6tr167KlSuXPD09bYowi8XiEB3rx4WEhCgkJCTOYuvrr782KZV97N69W5GRkTpw4IDc3Nz0559/KjIyUi+++KKkR4Wos7OzXnrpJZOT2t+kSZP02muvydvbW6VLl5Yk7dmzRx4eHpo/f77J6QAkN/rYQMI5cl9KouaIDzVHjG+++UazZ89WvXr1NHLkSDVv3ly+vr4KDAzUtm3b1LNnT7MjJitqjrg5+mBXQrH8FNKs+/fv69SpU/L19VW6dI43fnfx4kU1bdpUv/32mzJnzqzg4GA1adLEerx69eqqUKGCRo8ebWJKmCGu6d4Wi0WGYTjkRuGI4e3trW7dulk3P3VkI0eO1KhRo1S2bNk4955ZtmyZScnsJ0uWLNqzZ4+WL1+uzZs3Kzg4WNmzZ5ckXb16Ve3bt1flypXVr18/k5Pa361bt/TNN99o7969cnNzU2BgoJo3b87d2XAI9LHpYwMJQV8K8aHmiJEpUyYdOnRIBQoUkJeXl1atWqUyZcro5MmTKl26tK5fv252xGRHzRGbr6+vPvvsM9WrV0/u7u7as2ePtW3btm1auHCh2RFTBAY1kObcvn1bPXr0UHBwsKRHI7uFChVSz549lTdvXg0ePNjkhPZ1/fp1Zc6cWc7OzjbtV65cUebMmZUhQwaTksEsZ86ceepxb29vOyVBShPdoXxyA2RH5OXlpQkTJjjExpXxKViwoDZt2qRKlSpp3bp1Kl68uM3x/fv3q1atWjp37pxJCQHYE31sW/SxgaejL4X4UHPEePHFFzVv3jyVL19elStXVr169TR48GAtXrxYPXr00IULF8yOmOyoOWJjsCthHO/WmjTs2rVr2r59e5xTO9u0aWNSKvu4ceOGhgwZounTp2vIkCHau3evNm/ebLN2Z40aNTR8+HCHK7jiW5cwR44cdk6ClIJBC1vZs2ePdeeY9Gj2iqurq/z8/NSuXTu1b9/ehHT29dZbb2ndunXq0qWL2VFMd//+fVWsWNHsGKY6deqUJCkiIkL//vtvrALjwoULbIQLpHH0seNHH9uWI9eiiBt9KVvUHDGoOWI0adJEISEhKl++vHr16qXmzZtrzpw5CgsLU58+fcyOZxfUHLHly5dP58+fV4ECBeTn56d169apTJky2rFjh1xcXMyOl2IwqJFGrFy5Ui1bttStW7fk7u4ea03CtNyR/PXXX/Xuu+9a15VbtmyZlixZogoVKthch2LFiunEiROSpICAAK1evVr58+c3JTPsb8WKFXG2P96JLFiwoJ1TISX48MMPNXr0aNWpU0flypWTYRjasWOH1q5dq+7du+vUqVPq2rWrHj58qHfffdfsuMnKz89Pw4YN07Zt2+LcbyWtr+n6uE6dOmnhwoUaNmyY2VFM16RJE7Vv316TJk1ShQoVJEnbtm3TgAED1LRpU5PTAUgu9LGRUI5ciz6JmiMGfSlb1BwxqDlijBs3zvrxm2++qfz58+u3336Tn5+fGjZsaGIy+6PmiMFgV8Kw/FQaUbhwYdWtW1djxoxRxowZzY5jV59++qlWrlypFStWKHPmzMqYMaP279+vQoUKyd3dXXv37lWhQoW0d+9evfbaa7p+/bqcnJwUGhpqs6kf0jYnJyfrvhGPe3wviVdffVXLly+3rt8Ix/B///d/qlmzZqw7hWbOnKl169bphx9+0LRp0zRr1iz99ddfJqW0j6cV2RaLRSdPnrRjGnP16tVL8+bNU2BgoAIDA2MVW5MnTzYpmf3dvn1b/fv319dff60HDx5IktKlS6eOHTvqk08+UaZMmUxOCCA50MdGQjlyLfokao4Y9KVsUXPEoOZ45LvvvtPy5cv14MED1ahRQ//73//MjmQqao74bdu2TVu3bnXIwa6nYVAjjciUKZP++usvh12TcObMmZo9e7Z27typKlWq6M0331SPHj3k7u6uffv2qWDBgnrvvfd0/PhxrV271uy4MEFISIiGDh2q0aNHq1y5cpKk7du364MPPtCwYcOUNWtWde7cWeXLl9ecOXNMTgt7ypw5s/bs2SM/Pz+b9uPHj6tUqVK6efOmTpw4ocDAQN26dcuklLC3atWqxXvMYrFo48aNdkyTMty6dUsnTpyQYRjy8/Nz6MICcBT0sZEQjl6LPo6aIwZ9KVvUHHjcrFmz1KVLF/n7+8vV1VX79+/XwIEDNXbsWLOjmY6aAwnF8lNpxBtvvKGdO3c6bEeyc+fOqlOnjiRp7Nixql27tg4ePKiHDx9q6tSpOnDggH7//XeFhoaanBRm6dWrl2bNmmWzrmv16tXl6uqq//3vfzpw4ICmTJmiDh06mJgSZsiRI4dWrlwZaxrnypUrretiRy+nAMexadMmsyOkOJkyZVJgYKDZMQDYEX1sJISj16KPo+aIQV/KFjUHHjdt2jQNHTpUH330kSQpKChIPXr0YFBDjltzrFixQnXq1FH69OnjXcowGrM1HmFQIxV7/Ie8Xr16GjBggA4ePBjnmoSO8ANfoEABSVLFihX122+/aeLEifL19bVuqPP7778rICDA5JQwy4kTJ5QlS5ZY7VmyZLFOb/X399elS5fsHc3uduzYoaioKJUvX96m/Y8//pCzs7PKli1rUjJzDBs2TF27dtWmTZtUrlw5WSwWbd++XatXr9aXX34pSVq/fr2qVKlictLk96wC++uvv7ZTEiBlyZEjh44ePapcuXLFu9FntCtXrtgxGZD86GMjLtSicaPmQHyoOWJQc0gnT5602RS+devW+t///qfw8HB5enqamAxmady4scLDw5UnTx41btw43vMsFosiIyPtFywFY/mpVMzJySlB5/EDD0ivvvqq3N3dNW/ePOXOnVuSdPHiRbVp00a3bt3SL7/8og0bNqhbt246evSoyWmTV7ly5TRw4EC9+eabNu1Lly7V+PHj9ccff5iUzDy//fabpk+friNHjsgwDBUpUkQ9evSwucvOETRp0sTm+YMHD7R//35du3ZNr7/+upYuXWpSMnPs2LFD3333ncLCwnT//n2bY452LRxdcHCwmjVrJhcXFwUHBz/13LZt29opFQCYh1o0btQctuhL2aLmeISa49F7aPQfsKM9vl8VgGdjpkYqFhUVZXaEFKlatWpq1aqV3nzzTWXNmtXsOEgh5syZo0aNGilfvnzKnz+/LBaLwsLCVKhQIf3444+SpJs3b2rYsGEmJ01+Bw8eVJkyZWK1ly5dWgcPHjQhkfkqVaqkSpUqmR3DdMuWLYvVFhUVpW7dujlc53rRokVq06aNatWqpfXr16tWrVo6duyYwsPDYxViSPseH6hg0AKOij42HkctGjdqjhj0pWKj5niEmuORr776SpkzZ7Y+f/jwoYKCgpQrVy5rW8+ePc2IBqQKzNRAmtOzZ0999913unbtmurWravWrVurbt26ypAhg9nRYDLDMPTzzz/r6NGj1jtjatasmeA7zdKKnDlz6qefftIrr7xi075161bVq1dPV69eNSkZUqojR46oatWqOn/+vLJkyaI9e/ak+YIjMDBQnTt3Vvfu3a13TRUsWFCdO3eWl5eXRo4caXZEpAB37tzRgwcPbNriWnYESAvoYwMJQ83xCH0pPC9Hqjl8fHyeupyp9GimW/SydXAMd+7cUUhIiOrXry9JGjJkiO7du2c97uzsrI8++kiurq5mRUxRGNRIQ0JCQhQSEqILFy7EunPGEdYkfFxUVJQ2bNighQsXatmyZXJ2dtabb76pli1bOsQalcDTNGvWTOHh4frxxx+td1peu3ZNjRs3Vp48ebRkyRKTE9qHk5NTgjqSDx8+tFOilGv16tVq27atLl68qFWrVun111+Xm5ub2bGSVaZMmXTgwAH5+PgoV65c2rRpkwICAnTo0CG9/vrrOn/+vNkR7WbevHlPPd6mTRs7JUkZbt26pUGDBmnJkiW6fPlyrOOOtMwKHA99bMSHWhRPoi/1CDVHwjlizYEY1BzSzJkz9dNPP2nlypWSHi1JVrx4cevvweHDhzVw4ED16dPHzJgpBstPpREjR47UqFGjVLZsWXl5eT3zP820zsnJSbVq1VKtWrX05ZdfauXKlRo9erTmzJnDHxscGMXWI5MmTdJrr70mb29vlS5dWpK0Z88eeXh4aP78+Sans5+4pj1H27p1q6ZNmyZHG/fv27evzXPDMHT+/HmtWrXKuuROvXr1zIhmdzly5NCNGzckSS+88IL279+vgIAAXbt2Tbdv3zY5nX316tXL5vmDBw90+/ZtZciQQRkzZnSIAuNxAwcO1KZNm/T555+rTZs2mjFjhv755x/NnDlT48aNMzsekKzoYyMu1KK2qDkeoS/1CDVHbNQciAs1h/TNN9/EGrBYuHChdcbSggULNGPGDAY1/j8GNdKIL7/8UkFBQWrdurXZUVKU8PBwLVq0SAsWLNC+ffv08ssvmx0JJqHYemT//v26d++e9uzZo2+//VZ79+6Vm5ub2rdvr+bNmyt9+vRmR7SbRo0axWo7fPiwhgwZopUrV6ply5b66KOPTEhmnt27d9s8d3JyUu7cuTVp0iR16NDBpFTmqFy5stavX6+AgAC9/fbb6tWrlzZu3Kj169erevXqZsezq7iWpDt27Ji6du2qAQMGmJDIXCtXrtS8efNUtWpVdejQQZUrV5afn5+8vb31zTffqGXLlvr777+VN29eh1tqBI6DPjYeRy0ag5ojBn2pR6g5YqPmQFyoOaSjR4+qcOHC1ueurq429US5cuXUvXt3M6KlSCw/lUbkzJlT27dvl6+vr9lRTBcREaEffvhBCxcu1ObNm1WoUCG1aNFCLVu2lJ+fn9nxYBIvLy9NmDDB4YutBg0a6ObNm7px44Z27txpdpwU49y5cxo+fLiCg4P1xhtvaOzYsSpRooTZsWCiK1eu6O7du8qbN6+ioqI0ceJEbdmyRX5+fho2bJiyZ89udkTT7dy5U61atdLhw4fNjmJXmTNn1oEDB+Tt7a18+fJp6dKlKleunE6dOqWAgADdvHnTunZ4Wl0HGo6JPjbiQy0ag5ojBn2p2Kg5gOfnSDWHm5ub9uzZoxdffDHO44cPH1apUqV09+5dOydLmZipkUZ06tRJCxcu1LBhw8yOYjoPDw9lz55db7/9tsaMGcOdY5Ak3b9/XxUrVjQ7hulWrlyp4cOH6+OPP9b8+fPjnOrsCNM6o12/fl1jxozRtGnTVKpUKYWEhKhy5cpmx0IKkCNHDuvHTk5OGjhwoAYOHGhiopTH2dlZ586dMzuG3RUqVEinT5+Wt7e3ihUrpiVLlqhcuXJauXKlsmXLJkn6/fffVaBAAXODAkmMPjbiQy0ag5ojBn2pGNQcQOI5Us2RL18+7d+/P95BjX379ilfvnx2TpVyMVMjjejVq5fmzZunwMBABQYGxlpCZvLkySYls79169apRo0aLPkAG4MGDVLmzJkdsti6cuVKrKJCknWT8CfXqrxy5YopOe1twoQJGj9+vDw9PTVmzJg4p4Y7gtKlSyd4aYRdu3Ylc5qUJSoqSsePH49zTezXXnvNpFT2t2LFCpvn0eseT58+Xfnz59eaNWtMSmaOTz/9VM7OzurZs6c2bdqkevXqKTIyUg8fPtTkyZNjrQcMpBX0sREfatEYjlxzxIW+FDVHNGoOPAs1x6P/Tzds2KA///xTrq6uNsfu3LmjsmXLqkaNGpo6dapJCVMWBjXSiGrVqsV7zGKxaOPGjXZMA6Q8jlxsjRo1SoZhaPjw4fGec+zYMXXp0kUDBgxQ7dq17ZjOPE5OTnJzc1ONGjXk7Owc73lLly61Yyr7GzlypPXju3fv6vPPP1exYsX0yiuvSJK2bdumAwcOqFu3bho7dqxZMe1u27ZtatGihc6cORNrRpPFYnGoDXGf/AOmxWJR7ty59frrr2vSpEny8vIyKVnKcObMGf3555/y9fVVyZIlzY4DAHZHLRrDkWuOJ9GXeoSa4xFqjrhFRETE2W6xWOTi4qIMGTLYOZF5qDmkf//9V6VKlVKGDBn03nvvqXDhwrJYLDp8+LCmT5+uhw8favfu3fLw8DA7aorAoAYAh+DIxdaVK1fUvn17Zc+eXUFBQfGe50hrVUpSu3btEnS30Ny5c+2QJmXo1KmTvLy8Ym1WOHz4cJ09e1Zff/21Scnsr1SpUipcuLBGjhwZ50af0TOdAAAAojlyzfEk+lKPUHPERs0Rw8nJ6ak/H/ny5VO7du00fPhwZko6iFOnTqlr165av369dUDYYrGoZs2a+vzzz9mz7zEMagCAg5g2bZp69OgR7/Hdu3erSpUq8d4tgrQva9as2rlzp/z9/W3ajx07prJly+r69esmJbO/TJkyae/evWx+iziFhoZq4sSJOnTokCwWi4oWLaoBAwawPjYAAP8ffSnEh5ojxrx58zR06FC1a9dO5cqVk2EY2rFjh4KDg/XBBx/o4sWLmjhxogYMGKD333/f7LiwoytXruj48eOSJD8/P5slxfEIG4WnITt27NB3332nsLAw3b9/3+ZYWp/KCODZogc0nrZWZaVKlcyIhhTCzc1NW7ZsiVVgbNmyJdaanmld+fLldfz4cQpxSZGRkQoKClJISEica2I70l2nkrRgwQK1b99eTZs2Vc+ePWUYhrZu3arq1asrKChILVq0MDsiANgdtSieRF8K8aHmiBEcHKxJkybp7bfftrY1bNhQAQEBmjlzpkJCQlSgQAGNHj06zQ9qUHPYypEjh8qVK2d2jBSNQY00YtGiRWrTpo1q1aql9evXq1atWjp27JjCw8PVpEkTs+MBKQLF1iONGze2ef7kWpVwXL1791bXrl31559/qkKFCpIerW/79ddf68MPPzQ5XfLbt2+f9eMePXqoX79+Cg8PV0BAQKw1sQMDA+0dzzS9evVSUFCQ6tWrpxIlSiR4k8e0avTo0ZowYYL69OljbevVq5cmT56sjz76iEENAA6HWtSWI9cc9KWQEI5eczzu999/15dffhmrvXTp0vr9998lSa+++qrCwsLsHc3uqDnwvFh+KpW7dOmScuXKpcDAQHXu3Fndu3eXu7u79u7dq4IFC6pz587y8vKy2ZTJEdy6dUuhoaFxdiR79uxpUiqY6VnFliOtYQo8zZIlSzR16lQdOnRIklS0aFH16tXL5u6htCp6Tdv4ukbRxxxpc0tJypUrl+bNm6e6deuaHSVFcHFx0YEDB2LdeXr8+HGVKFFCd+/eNSkZkPzoY+Nx1KKxOXrNQV8KCeXINcfjChcurKZNm2rcuHE27YMHD9ayZct05MgR7dy5U40aNdI///xjUkr7oObA82JQIxULDQ1Vz549tXfvXmXKlEkHDhyQj4+PcuXKpU2bNikgIECHDh3S66+/rvPnz5sd1252796tunXr6vbt27p165Zy5MihS5cuKWPGjMqTJ49OnjxpdkSYgGILwLOcOXMmwed6e3snY5KUJW/evNq8ebMKFy5sdpQUwc/PTwMGDFDnzp1t2mfOnKmJEyfq2LFjJiUDkhd9bDyOWjRujl5z0JcCns+KFSv01ltvqUiRInr55ZdlsVi0Y8cOHT58WN9//73q16+vL774QseOHdPkyZPNjpusqDnwvFh+KpVasmSJhg0bpp9++knSo7XWbty4IUl64YUXtH//fgUEBOjatWu6ffu2mVHtrk+fPmrQoIG++OILZcuWTdu2bVP69OnVqlUr9erVy+x4MMmJEydUr149SY/usr1165YsFov69Omj119/Pc0XGE8KCQmJd63Kr7/+2qRUgLm8vb3VoUMHTZ06Ve7u7mbHSTH69eunqVOnavr06UwD16Pr0bNnT+3Zs0cVK1aUxWLRli1bFBQUpKlTp5odD0g29LERjVo0fo5ec9CXAp5Pw4YNdeTIEX355Zc6evSoDMNQnTp1tHz5cvn4+EiSunbtam5IO6HmwPNiUCOVit5YKXfu3JKkypUra/369QoICNDbb7+tXr16aePGjVq/fr2qV69uctrkd+nSJbVp00arV6/Wnj17NHPmTDk7O8vZ2Vn37t1ToUKFNGHCBLVt21ZNmzY1Oy5MQLEVY+TIkRo1apTKli0rLy8vOgzAY4KDgzVu3DiHL8Sf/L9y48aNWrNmjYoXLx5rTey0vj74k7p27SpPT09NmjRJS5YskfRoyYTFixerUaNGJqcDkhZ9bMSFWjR+1Bz0pYDn5ePjE2v5KUdBzYH/gkGNVKpBgwY2z6dPn25dw3nIkCFKnz69tmzZoqZNm2rYsGFmRLSb7du3q3nz5ho/frwkKX369NY/0np4eCgsLExFixZV1qxZHWJzJcSNYivGl19+qaCgILVu3drsKECKw6qcj2TNmtXmuSNu9Po0TZo04ZogzaOPjfhQi8aPmoO+FPC8rl27pu3bt8e5ikKbNm1MSmUf1Bz4L9hTA6ne9OnTVbp0aVWqVEmSVKtWLbVr104tWrRQly5dtHv3bvXs2VPz58/X1atX9ccff5icGGa4cuWK7t69q7x58yoqKkoTJ07Uli1b5Ofnp2HDhil79uxmR7SbnDlzavv27fL19TU7CpDiODk56d9//7XefYqni4iIUJYsWcyOASAZ0McGnh81B30p4HmsXLlSLVu21K1bt+Tu7m6zioLFYtGVK1dMTJdyUHMgLgxqpHIREREJOs+Rfvl37typGzduqFq1arp48aLatm1r7UjOnTtXJUuWNDsiYKpBgwYpc+bMDnfnHJAQTk5Oypo16zOXZXOEAmPixInq379/vMcjIiJUq1Ytbdu2zY6pzJc9e/Y4fz4sFotcXV3l5+endu3aqX379iakA5IPfWw8iVoUcaEvBSRc4cKFVbduXY0ZM0YZM2Y0O44pqDmQWAxqpHJOTk5P7SwYhiGLxaLIyEg7pgJSpqioKB0/fjzOaZ2vvfaaSanso2/fvtaPo6KiFBwcrMDAQAUGBsZaq3Ly5Mn2jocUIjIyUkFBQfFuIr9x40aTktmPk5OTpkyZEmsq9JPatm1rp0TmcXNz0+effx7nH+dv3LihWrVq6fr16zp48KAJ6czz6aefavTo0apTp47KlSsnwzC0Y8cOrV27Vn369NGpU6c0f/58TZs2Te+++67ZcQEg2VCLxs2Raw6JvhSejZojRqZMmfTXX3+pUKFCZkcxDTUHEos9NVK5TZs2WT82DEN169bVV199pRdeeMHEVEDKs23bNrVo0UJnzpyJtc6rIxRbu3fvtnleqlQpSdL+/ftt2tk03LH16tVLQUFBqlevnkqUKOGwPw/NmjVTnjx5zI5huvnz56t169bKnj27GjdubG2/efOm3njjDV25ckW//PKLeQFNsmXLFn388cfq0qWLTfvMmTO1bt06/fDDDwoMDNRnn33GoAaANI1aNDZHrzmi0ZfC01BzxHjjjTe0c+dOhx7UoOZAYjFTI41xd3fX3r17HfoN8d9//1X//v2to/5P/og7SkcStkqVKqXChQtr5MiR8vLyitVxetadRIAjyJUrl+bNm6e6deuaHcU0zs7OOn/+PIX4//fVV1+pZ8+eWrVqlapVq6abN2+qdu3aunDhgkJDQ+Xl5WV2RLvLnDmz9uzZIz8/P5v248ePq1SpUrp586ZOnDihwMBA3bp1y6SUQNKjj41noRal5pDoS+HZqDlizJkzR6NGjVL79u0VEBAQaxWFhg0bmpTMvqg5kBjM1ECa065dO4WFhWnYsGFxdiThmI4dO6bvv/8+1h+hHNH169cVGRmpHDly2LRfuXJF6dKlY91jB5YhQwaH/x3hXg9bnTp10pUrV9S4cWP9+OOPGjZsmMLDwx26uMiRI4dWrlypPn362LSvXLnS+r4avdkjkJbQxwaejZqDvhSejZojRvSs3lGjRsU65kizu6g5kBgMaiDN2bJli3799Vfr8jqAJJUvX17Hjx+n86RH08EbNGigbt262bQvWbJEK1as0OrVq01KBrP169dPU6dO1fTp0x32j1VPrukLaeDAgbp69aqqV68uHx8fhYaGOvTSIsOGDVPXrl21adMmlStXThaLRdu3b9fq1av15ZdfSpLWr1+vKlWqmJwUSFr0sYFno+agL4Vno+aIwe9LDGoOPC8GNdIgR/9PIX/+/NwdAknSvn37rB/36NFD/fr1U3h4eJzTOgMDA+0dzzR//PFHnJuBV61aVUOHDjUhEczUtGlTm+cbN27UmjVrVLx48Vi/J0uXLrVnNJjsyZ+N9OnTK1euXOrZs6dNu6P9XLz77rsqVqyYpk+frqVLl8owDBUpUkShoaGqWLGipEfFOpDW0MdGQjhiLUrNATwbNQfiQ82BxGJQI5V78pf/7t276tKlizJlymTT7ki//FOmTNHgwYM1c+ZM+fj4mB0HJipVqpQsFotNAd6hQwfrx9HHHGlapyTdu3dPDx8+jNX+4MED3blzx4REMNOTazs3adLEpCRIaZ782WjevLlJSVKeSpUqqVKlSmbHAOyKPjaeRC36CDUH8GzUHPELDQ3VxIkTdejQIVksFhUtWlQDBgxQ5cqVzY5mF9QcSCw2Ck/l2rdvn6Dz5s6dm8xJzJU9e3abu4Ju3bqlhw8fKmPGjLFG/a9cuWLveDDJmTNnEnyut7d3MiZJWapWraqAgABNmzbNpr179+7at2+ffv31V5OSAQCAlIQ+Np6GWvQRag4AibVgwQK1b99eTZs2VaVKlWQYhrZu3aply5YpKChILVq0MDsikGIxqIE0ITg4OMHntm3bNhmTIKXp0KGDpk6dyoatj/ntt99Uo0YNvfzyy6pevbokKSQkRDt27NC6desc5o4QAHgeTk5Oz1xWxWKxxDkTDkit6GMDCUPNAeB5nD9/Xl5eXipSpIg6d+6sPn362ByfPHmyZs+erUOHDpmUEEj5GNQAkKY5Ozvr/PnzypMnj9lRUpQ9e/bok08+0Z49e+Tm5qbAwEANGTJE/v7+ZkeDif7991/1799fISEhunDhQqy101kyAY7sxx9/jPfY1q1bNW3aNBmGwTJ+AOCAqDmAhHP0mmPDhg3q1auXDhw4IBcXFx04cEB+fn425xw/flwlSpTQ3bt3TUoJpHzsqQEgTWPcNm6lSpXSN998Y3YMpDDt2rVTWFiYhg0bJi8vL4fc7BOIT6NGjWK1HT58WEOGDNHKlSvVsmVLffTRRyYkAwCYjZoDSDhHrjkWL16sYcOGadWqVZKk/PnzKyQkJNagRkhIiPLnz29GRCDVYFADaQbLQiA+jtRJAv6LLVu26Ndff1WpUqXMjgKkaOfOndPw4cMVHBysN954Q3v27FGJEiXMjgUkC/rYQMJQcwAJ48g1R8aMGfXbb78pd+7ckqR+/fqpZ8+e2rNnjypWrCiLxaItW7YoKChIU6dONTktkLIxqIE0Y9myZfEee3xZCDiewoULP7PIYHNL4NGdQrxPAvG7fv26xowZo2nTpqlUqVIKCQlhHyKkefSxgYSh5gASxpFrjgYNGtg879q1qzw9PTVp0iQtWbJEklS0aFEtXrw4zlnCAGKwpwbStLiWhShQoIDZsWBHTk5OmjJlirJmzfrU89jcEpDWrVunSZMmaebMmfLx8TE7DpCiTJgwQePHj5enp6fGjBlDoQmHRh8bsEXNASQcNQeApMCgBtKkJ5eFGDt2LMtCOCgnJyeFh4ezaR+QANmzZ9ft27f18OFDZcyYUenTp7c5zt2FcGROTk5yc3NTjRo15OzsHO95S5cutWMqwL7oYwNxo+YAEo6aI7b79+/rwoULioqKsmnnhgEgfiw/hTSFZSHwJNa2BRJuypQpZkcAUqw2bdrwfwocFn1s4On4/wFIOGqOGMeOHVOHDh20detWm3bDMGSxWBQZGWlSMiDlY6YG0gyWhUBcuGsqtlu3bmncuHEKCQmJ826QkydPmpQMAACkNPSxgWej5gCQGJUqVVK6dOk0ePBgeXl5xRogLVmypEnJgJSPQQ2kGSwLASRM8+bNFRoaqtatW8fZcerVq5dJyWCGiIgIZcmSxfrx00SfBwBwHPSxAQD/FTVH3DJlyqQ///xTRYoUMTsKkOqw/BTSDJaFABJmzZo1WrVqlSpVqmR2FKQA2bNn1/nz55UnTx5ly5YtzvdRpj8DgOOijw0A+K+oOeJWrFgxXbp0yewYQKrEoAbSjKCgILMjAKlC9uzZlSNHDrNjIIXYuHGj9edh06ZNJqcBAKQ09LEBAP8VNUeMx2eqjB8/XgMHDtSYMWMUEBAQa9N0R5q1Ajwvlp8CAAezYMEC/fjjjwoODlbGjBnNjgMAAAAAgENwcnKymakSPUPlcY44awV4XgxqAICDKV26tE6cOCHDMOTj4xPrbpBdu3aZlAxmW7t2rTJnzqxXX31VkjRjxgzNnj1bxYoV04wZM5Q9e3aTEwIAAABIzRy95ggNDU3wuVWqVEnGJEDqxqAGADiYkSNHPvX48OHD7ZQEKU1AQIDGjx+vunXr6q+//lLZsmXVr18/bdy4UUWLFtXcuXPNjggAAAAgFaPmAJAUGNQAAACSpMyZM2v//v3y8fHRiBEjtH//fn3//ffatWuX6tatq/DwcLMjAgAAAEjFqDmk27dva8CAAVq+fLkePHigGjVq6LPPPlOuXLnMjgakGk5mBwAAAClDhgwZdPv2bUnShg0bVKtWLUlSjhw5bDa0AwAAAIDEoOZ4tDpCUFCQ6tWrp2bNmmn9+vXq2rWr2bGAVCWd2QEAAPYVGRmpTz/9VEuWLFFYWJju379vc/zKlSsmJYPZXn31VfXt21eVKlXS9u3btXjxYknS0aNHlS9fPpPTAQAAAEjtqDmkpUuXas6cOWrWrJkkqVWrVqpUqZIiIyPl7OxscjogdWCmBgA4mJEjR2ry5Ml6++23df36dfXt21dNmzaVk5OTRowYYXY8mGj69OlKly6dvv/+e33xxRd64YUXJElr1qxR7dq1TU4HAAAAILWj5pDOnj2rypUrW5+XK1dO6dKl07lz50xMBaQu7KkBAA7G19dXn332merVqyd3d3ft2bPH2rZt2zYtXLjQ7IgAAAAAAKRJzs7OCg8PV+7cua1t7u7u2rdvnwoWLGhiMiD1YPkpAHAw4eHhCggIkPRok7br169LkurXr69hw4aZGQ0AAAAAgDTNMAy1a9dOLi4u1ra7d++qS5cuypQpk7Vt6dKlZsQDUgUGNQDAweTLl0/nz59XgQIF5Ofnp3Xr1qlMmTLasWOHTacKAAAAAAAkrbZt28Zqa9WqlQlJgNSL5acAwMEMHjxYWbJk0fvvv6/vv/9ezZs3l4+Pj8LCwtSnTx+NGzfO7IgAAAAAAABAnBjUAAAHt23bNm3dulV+fn5q2LCh2XEAAAAAAACAeDGoAQAAbBw/flwnTpzQa6+9Jjc3NxmGIYvFYnYsAAAAAGkENQeA/8LJ7AAAAPs7cuSI3nvvPVWvXl01atTQe++9pyNHjpgdCya7fPmyatSoocKFC6tu3bo6f/68JKlTp07q16+fyekAAAAApHbUHACSAoMaAOBgvv/+e5UoUUJ//vmnSpYsqcDAQO3atUslSpTQd999Z3Y82NmZM2fUqFEjSVKfPn2ULl06hYWFKWPGjNZz3nnnHa1du9asiAAAAABSMWoOAEktndkBAAD2NXDgQA0ZMkSjRo2yaR8+fLgGDRqkt956y6RksLeVK1eqf//+mj17tiRp3bp1+vnnn5UvXz6b8/z9/XXmzBlJkrOzsw4dOqTChQvbPS8AAACA1IWaA0ByYKYGADiY8PBwtWnTJlZ7q1atFB4ebkIimOXixYvKkiWLChUqJEm6deuWzd1S0S5duiQXFxdJkmEYioiIsGtOAAAAAKkTNQeA5MCgBgA4mKpVq+rXX3+N1b5lyxZVrlzZhEQwS4cO/4+9Ow+v4ez/OP45CbJJ7CKIBKHW1K6l1tqKUp5SxFa01E5bpYrQWqql2lqKthJbLVU7RYM8VBG7amuN5UFqX0osSeb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+      "text/plain": [
+       "<Figure size 1600x2000 with 10 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Load data\n",
+    "# df = pd.read_excel(\"/mnt/data/LLV_tong_hop_chuan_hoa.xlsx\")\n",
+    "\n",
+    "# 1) Lấy TOP 10 vị trí thực hiện nhiều nhất\n",
+    "top10_positions = df[\"Vị trí thực hiện\"].value_counts().head(10).index\n",
+    "\n",
+    "# Lọc dữ liệu theo 10 vị trí này\n",
+    "df_top = df[df[\"Vị trí thực hiện\"].isin(top10_positions)]\n",
+    "\n",
+    "# 2) Tạo biểu đồ: với mỗi vị trí → lấy top 10 khu vực vệ sinh của vị trí đó\n",
+    "fig, axes = plt.subplots(5, 2, figsize=(16, 20))  # 10 biểu đồ nhỏ\n",
+    "axes = axes.flatten()\n",
+    "\n",
+    "for i, pos in enumerate(top10_positions):\n",
+    "    df_pos = df_top[df_top[\"Vị trí thực hiện\"] == pos]\n",
+    "    \n",
+    "    # Lấy top 10 khu vực vệ sinh của vị trí này\n",
+    "    top10_areas = df_pos[\"Khu vực vệ sinh\"].value_counts().head(10)\n",
+    "    \n",
+    "    ax = axes[i]\n",
+    "    ax.bar(top10_areas.index, top10_areas.values)\n",
+    "    ax.set_title(f\"Top 10 Khu vực vệ sinh của {pos}\")\n",
+    "    ax.set_xlabel(\"Khu vực vệ sinh\")\n",
+    "    ax.set_ylabel(\"Số lượng\")\n",
+    "    ax.tick_params(axis='x', rotation=90)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "7d3e3582",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Hạng mục vệ sinh\n",
+       "Tổng thể các hạng mục                    1075\n",
+       "Sàn                                      1011\n",
+       "Trang thiết bị                            264\n",
+       "Vệ sinh dụng cụ                           160\n",
+       "Nghỉ ca                                   157\n",
+       "                                         ... \n",
+       "Trang thiết bị, Tổng thể các hạng mục       1\n",
+       "Sàn, Rãnh thoát nước nổi                    1\n",
+       "Bể tiểu cảnh                                1\n",
+       "Tường, Sàn                                  1\n",
+       "Sàn, Cửa, Tường                             1\n",
+       "Name: count, Length: 65, dtype: int64"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"Hạng mục vệ sinh\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "eedc6c66",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1800x2200 with 10 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Load data\n",
+    "# df = pd.read_excel(\"/mnt/data/LLV_tong_hop_chuan_hoa.xlsx\")\n",
+    "\n",
+    "# 1️⃣ Lấy TOP 10 vị trí thực hiện nhiều nhất\n",
+    "top10_positions = df[\"Vị trí thực hiện\"].value_counts().head(10).index\n",
+    "\n",
+    "# 2️⃣ Lọc dữ liệu theo TOP 10 vị trí\n",
+    "df_top = df[df[\"Vị trí thực hiện\"].isin(top10_positions)]\n",
+    "\n",
+    "# 3️⃣ Tạo 10 biểu đồ con (mỗi VT một biểu đồ)\n",
+    "fig, axes = plt.subplots(5, 2, figsize=(18, 22))\n",
+    "axes = axes.flatten()\n",
+    "\n",
+    "for i, vt in enumerate(top10_positions):\n",
+    "    df_vt = df_top[df_top[\"Vị trí thực hiện\"] == vt]\n",
+    "    \n",
+    "    # TOP 10 Hạng mục vệ sinh của vị trí đó\n",
+    "    top10_items = df_vt[\"Hạng mục vệ sinh\"].value_counts().head(10)\n",
+    "    \n",
+    "    ax = axes[i]\n",
+    "    ax.bar(top10_items.index, top10_items.values)\n",
+    "    ax.set_title(f\"{vt} – Top 10 Hạng mục vệ sinh\")\n",
+    "    ax.set_xlabel(\"Hạng mục vệ sinh\")\n",
+    "    ax.set_ylabel(\"Số lượng\")\n",
+    "    ax.tick_params(axis='x', rotation=90)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 22,
+   "id": "0a111f37",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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hQlnWkdHvb3Z/9mn7Z82aNR0uPfrpp5+MJPPJJ59kue20fg4dOtRh+syZM9N9dmV337lR2v9brVq1Mj169LBP51RzwHtwxBuARxQtWlTPPfecPv/8c/3444+ZLjdhwgRFRUVp3rx5GjJkiEJCQvTWW2+pXr16Tt/HtGjRovLz87M/bjwdNygoSNu3b8/wERQU5NQ2s+PKlSvq2bOnjh8/riVLltx0JObU1NRMj8ybG06Nza6tW7cqISEh3amK4eHhatmyZYanlN54xLhPnz6Srh3hcqWMTpnNanqaDh06qFSpUg5H5VavXq2TJ0/aTwN3pcKFC6tly5Y5fl29evW0fft2PfDAA5Jk3+duPL07o5/tp59+qri4OIf3M3DgQBljMjwa6Ywbt5uamqoFCxaofPny9vdbqVIl3X333fr000+zHHF+8uTJSk5Otg8KlV3nz593+N318/PL1ujtNpst3dHzWrVqpTuau27dOrVu3VoFCxaUj4+P/Pz89OKLL+rMmTPpRnavXbu2brnlFvvzwMBAVa5c2WGdGzZsUMuWLVWsWDH7tHz58tl/xtlhs9nUsWNH+3NfX1/ddtttCgsLU506dezTixQpohIlSjh1i641a9YoJSUlR6fupxk4cKASEhK0ePFi+7T58+crICDA/lnw22+/6dChQ/bPius/qzp27Kjo6GgdPnw4023ceeedOn/+vHr37q0vvvgiw9HvM5Pdn7107YyW6y89Sjtan92edu3aNd12Mnp9dvYdSXrrrbdUt25dBQYGytfXV35+flq7dm26y34AeAeCNwCPGTFihEqXLq0xY8ZkuVzJkiU1YMAAvfXWW9qzZ482bNggf39/Pf3005m+Ju1WKxn9wbR+/Xpt375db731VoavzZcvn+rXr5/hI7vXJedUYmKievTooc2bN2vFihVq2LDhTV8zadKkdCEk7bFhwwan6sjquvrSpUunO93f19dXRYsWdZiWNqJ1Ti4NyEra+jNa39mzZ1WkSJEsX+/r66tHHnlEy5Yt0/nz5yVdOw02LCxM7dq1c0mN18tsTIKbCQ0NVf369e3XbKbtc7fffrvDcmm30CpdurR9Wtp11u3bt9f58+d1/vx51apVS+XLl9eCBQvSna6eU/Hx8Tpz5ozDNtesWaOoqCg98MADunDhgn27DzzwgOLj4x2C2I3Kly+voUOH6r333kt3+YIkeyi58fc3NDTU/oXESy+9lO36g4OD011yEhAQoCtXrtif//TTT2rbtq0k6d1339UPP/yg7du3a/z48ZKujS5/vRv3+7R1Xr/cmTNnMrwzQU7uVpBR7f7+/hnu9/7+/g7vKbtOnz4tKes7MGSmevXqatCggf0LnpSUFH300Ufq1q2bvca///5bkjR69Oh0n1Vpl2JkFaYfeeQRzZs3T8ePH9e9996rEiVKqGHDhlqzZs1N68vOzz7NjT/TgIAASel/9pnJ7uuzs+/Mnj1bTzzxhBo2bKjPP/9c27Zt0/bt29W+ffts1wPgn4XgDcBjgoKCNHHiRG3cuFErV67M9uvuuecetW3bVqdPn870/sKlS5dW9erVtWbNmnR/YNWuXTvDQOMpiYmJ6t69u77//nstX75crVq1ytbrHnvssUyPzNerV8+pWtL+IMzoPuInT550OHInXTtydWMgPnXqlMO6cqtmzZqSpL1796bb9qFDh1SjRo2brmPAgAG6cuWKFi1apHPnzmnFihXq27evJQPr3ewIfG6l3XatWbNmkqQjR45o8+bNunLlim655RYVLlzY/jh27Jj++usvrV69OlfbXLlypVJSUhwGh0u7fnzmzJkO23zyyScd5mfmhRdeUHBwsMMAWWnq1aunwoULp7vFnI+Pj/0Liezeyi27Fi1aJD8/P3311Vd64IEH1KRJkxzfju1GRYsWtYfO66X9jlgtLXDeOJDYjSE37cueP//806ntDBgwQNu2bdPBgwe1atWqdIMhpn1ujBs3LtPPrNq1a990G1u2bNGFCxe0cuVKGWPUuXNnp47we4OPPvpIzZs319y5c9WpUyc1bNhQ9evXz3JQQgD/bARvAB41cOBAVa1aVWPHjk03+NXff/+dbpp07YjKr7/+quDgYBUqVCjTdY8fP16xsbEaOXKk06deWy3tSPe6dev0+eef5+gIbOnSpTM9Mh8aGupUPY0bN1ZQUJA++ugjh+l//vmn1q1bl+GXAmn3cE4TGRkpyXX3lG3YsKHCwsLSDcD02Wef6dKlS+rZs+dN11G1alU1bNhQ8+fPV2RkpBITE9ONkp5dOT0K5kpr167VO++8o0aNGunuu++W9H8B991339X333/v8Pj666/l5+eX5UjjNxMVFaXRo0erYMGCGjJkiKRrR3K/+OIL3XPPPem2+f333+vBBx/U1q1bszwlNu1yk88++0w//fSTwzx/f389++yz2rdvX4aDYFnBZrPJ19fX4cuYhIQEffjhh06vs1mzZlq3bp1D0E1NTdWSJUtyVWt2pX05cf3I4pLSfaHRtm1b+fj4aO7cuU5tp3fv3vaR7RcsWKAyZcrYzx6QpNtvv12VKlXS7t27c/2ZlT9/fnXo0EHjx49XUlKS9u/f71TN/3Q2m83+WZNmz5492rp1q8M0T34eAcgZX08XAODfzcfHR1OnTlWPHj0kOY5c/eGHH+rtt99Wnz591KBBAxUsWFB//vmn3nvvPe3fv18vvvii/P39M1137969tX//fk2ZMkW7d+9W//79ValSJaWmpurEiRP2P6idDamucN999+mbb77R+PHjVbRoUYdb1xQoUEDVqlVzaz2FChXShAkT9Pzzz6tv377q3bu3zpw5o4iICAUGBqY7vdff31+vvvqqLl26pAYNGmjLli2aPHmyOnTooLvuuivLbV2+fFlff/21JNnf94YNGxQbG2v/41q6to/MnDlTjzzyiIYMGaLevXvr119/1ZgxY9SmTRu1b98+W+9t4MCBGjJkiE6ePKkmTZo4fcZD2hH2d955R6GhoQoMDFSFChVcdoQ/TVpPEhMTdeLECa1atUqLFy9W5cqV7cHt6tWr+uCDD1S1alUNHjw4w/V06dJFK1as0OnTp+1HNjOzb98++7W3MTEx2rRpk+bPny8fHx8tW7bM/voPP/xQSUlJevrppzP8gqVw4cJatGiR5s2bl+Xo5SNGjNAbb7yhb775Jt285557TocOHdLYsWO1ceNG9erVS+XLl1diYqL++OMPvffee/Lx8VFwcHCW7ym7OnXqpNmzZ6tPnz567LHHdObMGb3yyivpwk9OjB8/Xl9++aVatWql8ePHKygoSG+99ZZ9NG6rLl1J07FjRxUpUkSDBg3SpEmT5OvrqwULFqS7VWH58uX1/PPP6+WXX1ZCQoJ69+6tggUL6sCBA4qNjb3ptfiFChVSjx49tGDBAp0/f16jR49O997efvttdejQQe3atVP//v1VpkwZnT17VgcPHtTPP/+c5ZcRjz76qIKCgtS0aVOFhYXp1KlTmjZtmgoWLKgGDRo436B/sM6dO+vll1/WSy+9pGbNmunw4cOaNGmSKlSo4HCHjdDQUJUrV05ffPGFWrVqpSJFiqhYsWIuPyMEgAt4cmQ3AHnXzUY1v1GTJk2MJIdRzQ8cOGBGjRpl6tevb4oXL258fX1N4cKFTbNmzcyHH3540+2l2bhxo+nVq5cpW7as8fPzM8HBwaZatWrmiSeeMDt27HBYtl+/fiZ//vyZvq/8+fO7dFRzZTF6elYjYLvKjaOap3nvvfdMrVq1jL+/vylYsKDp1q2b2b9/v8Myab3as2ePad68uQkKCjJFihQxTzzxhLl06dJNt502knBGj3LlyqVbPjIy0l5TqVKlzFNPPZWjkd8vXLhggoKCjCTz7rvvZtqLm41qbowxc+bMMRUqVDA+Pj5Gkpk/f74x5trI5dWrV8/wNTcb1TzNsGHDHHoRGBhowsPDTadOncx7771nrly5Yl92+fLlRpKZM2dOputbtWqVkWReffXVTJdJ23fTHv7+/qZEiRKmWbNmZurUqSYmJsZh+Zo1a5qwsLAsRxVv2LChKVGihElKSko3qvn13nnnHft2M/psWLFihenSpYspWbKk8fX1NaGhoaZ27dpm1KhR5tChQ5luP01mv9MZjfg9b948c/vtt5uAgABTsWJFM23aNPP++++nG4E8ozswGJPxz3jTpk2mYcOGJiAgwJQqVco8++yzZsaMGUaSw0jgOak9s/0so7p++ukn06RJE5M/f35TpkwZ89JLL5n33nsvw1HVP/jgA9OgQQMTGBhoQkJCTJ06dez79s18++239p/jkSNHMlxm9+7d5oEHHjAlSpQwfn5+plSpUqZly5YZjl5/vYULF5oWLVqYkiVLGn9/f1O6dGnzwAMPmD179tiXyWxU8+z87LPaP5WNEcMz++zPqKbs7juJiYlm9OjRpkyZMiYwMNDUrVvXLF++3PTr1y/d5+N3331n6tSpYwICArK88wYAz7IZ8w89/xIA8I/Wv39/++neeYExRikpKfLx8bH8Ou28Jq/17urVq8qXL59lR6Tbtm2rY8eO6ciRI5asPyOpqalKTU2Vr6/nT3ZMTk5Wampqrs4mAABvwzXeAADo2mnuuRkR/t8sr/XOz89PkyZNcsm6Ro4cqQ8//FDr16/X0qVLde+992rNmjUaO3asS9afXWl3Qfgn8Pf3TzfSOADkdZ7/2hMAgH+AtPto/1NGu/cmea1327dvd7h1Wm6kpKToxRdf1KlTp2Sz2VStWjV9+OGHevjhh12y/ux67LHH1LlzZ7duMzPr1q3TyZMnPV0GALgVp5oDAAAAAGAhTjUHAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALPSvGdU8NTVVJ0+eVGhoaJ64xygAAAAAwHOMMbp48aJKly6tfPmyPqb9rwneJ0+eVHh4uKfLAAAAAADkISdOnFDZsmWzXOZfE7xDQ0MlXWtKgQIFPFwNAAAAAMCbxcXFKTw83J41s/KvCd5pp5cXKFCA4A0AAAAAcInsXMrM4GoAAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIV8PV1AXlF+7EpPl+CUY9M7eboEAAAAAMjTOOINAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWMjjwXvatGlq0KCBQkNDVaJECXXv3l2HDx92WKZ///6y2WwOj0aNGnmoYgAAAAAAss/jwXvDhg0aNmyYtm3bpjVr1ujq1atq27at4uPjHZZr3769oqOj7Y+vv/7aQxUDAAAAAJB9vp4uYNWqVQ7P58+frxIlSmjnzp2655577NMDAgJUqlQpd5cHAAAAAECuePyI940uXLggSSpSpIjD9PXr16tEiRKqXLmyHn30UcXExHiiPAAAAAAAcsTjR7yvZ4zRyJEjddddd6lGjRr26R06dND999+vcuXK6ejRo5owYYJatmypnTt3KiAgIMN1JSYmKjEx0f48Li5OkpScnKzk5GSX1x7gY1y+TnewohcAAAAAkNflJEvZjDH/mMQ4bNgwrVy5Ups3b1bZsmUzXS46OlrlypXTokWL1LNnzwyXmThxoiIiItJNj4yMVHBwsMtqBgAAAAD8+1y+fFl9+vTRhQsXVKBAgSyX/ccE7yeffFLLly/Xxo0bVaFChZsuX6lSJQ0ePFjPPfdchvMzOuIdHh6u2NjYmzbFGTUmrnb5Ot1h38R2ni7BKfTbveg3AAAA4CguLk7FihXLVvD2+Knmxhg9+eSTWrZsmdavX5+t0H3mzBmdOHFCYWFhmS4TEBCQ4Wnofn5+8vPzy1XNGUlMsbl8ne5gRS/cgX67F/0GAAAAHOXkb02PD642bNgwffTRR4qMjFRoaKhOnTqlU6dOKSEhQZJ06dIljR49Wlu3btWxY8e0fv16denSRcWKFVOPHj08XD0AAAAAAFnz+BHvuXPnSpKaN2/uMH3+/Pnq37+/fHx8tHfvXn3wwQc6f/68wsLC1KJFCy1evFihoaEeqBgAAAAAgOzzePC+2SXmQUFBWr3aO68vBQAAAADA46eaAwAAAACQlxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAv5eroAAICj8mNXeroEpxyb3snTJQAAAPwjccQbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsJCvpwsAAMCTyo9d6ekSnHJseidPl+AU+g0A+DfiiDcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGCNwAAAAAAFiJ4AwAAAABgIV9PFwAAAABrlB+70tMlOO3Y9E6eLgEAXIYj3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFjI19kXfvDBB1nO79u3r7OrBgAAAAAgz3A6eD/99NMOz5OTk3X58mX5+/srODiY4A0AAAAAgHJxqvm5c+ccHpcuXdLhw4d111136ZNPPnFljQAAAAAAeC2XXuNdqVIlTZ8+Pd3RcAAAAAAA/q1cPriaj4+PTp486erVAgAAAADglZy+xnvFihUOz40xio6O1uuvv66mTZvmujAAAAAAAPICp4N39+7dHZ7bbDYVL15cLVu21Kuvvprt9UybNk1Lly7VoUOHFBQUpCZNmmjGjBm6/fbb7csYYxQREaF33nlH586dU8OGDfXGG2+oevXqzpYPAAAAAIBbOH2qeWpqqsMjJSVFp06dUmRkpMLCwrK9ng0bNmjYsGHatm2b1qxZo6tXr6pt27aKj4+3LzNz5kzNnj1br7/+urZv365SpUqpTZs2unjxorPlAwAAAADgFk4f8XaVVatWOTyfP3++SpQooZ07d+qee+6RMUZz5szR+PHj1bNnT0nSwoULVbJkSUVGRmrIkCGeKBsAAAAAgGzJVfD+888/tWLFCkVFRSkpKclh3uzZs51a54ULFyRJRYoUkSQdPXpUp06dUtu2be3LBAQEqFmzZtqyZUumwTsxMVGJiYn253FxcZKu3W88OTnZqdqyEuBjXL5Od7CiF+5Av92LfrsX/XYv+u1e9Nu9vLXfkvf2HMC/R04+p2zGGKc+kdeuXauuXbuqQoUKOnz4sGrUqKFjx47JGKO6detq3bp1OV6nMUbdunXTuXPntGnTJknSli1b1LRpU/31118qXbq0fdnHHntMx48f1+rVqzNc18SJExUREZFuemRkpIKDg3NcGwAAAAAAaS5fvqw+ffrowoULKlCgQJbLOn3Ee9y4cRo1apQmTZqk0NBQff755ypRooQeeughtW/f3ql1Dh8+XHv27NHmzZvTzbPZbA7PjTHppt1Y38iRI+3P4+LiFB4errZt2960Kc6oMTHjLwD+6fZNbOfpEpxCv92LfrsX/XYv+u1e9Nu9vLXfEj13N2/tN+BJaWdVZ4fTwfvgwYP65JNPrq3E11cJCQkKCQnRpEmT1K1bNz3xxBM5Wt+TTz6pFStWaOPGjSpbtqx9eqlSpSRJp06dchi0LSYmRiVLlsx0fQEBAQoICEg33c/PT35+fjmqLTsSUzL/EuCfzIpeuAP9di/67V70273ot3vRb/fy1n5L9NzdvLXfgCfl5PfG6VHN8+fPb7+GunTp0vr999/t82JjY7O9HmOMhg8frqVLl2rdunWqUKGCw/wKFSqoVKlSWrNmjX1aUlKSNmzYoCZNmjhbPgAAAAAAbuH0Ee9GjRrphx9+ULVq1dSpUyeNGjVKe/fu1dKlS9WoUaNsr2fYsGGKjIzUF198odDQUJ06dUqSVLBgQQUFBclms2nEiBGaOnWqKlWqpEqVKmnq1KkKDg5Wnz59nC0fAAAAAAC3cDp4z549W5cuXZJ0bSCzS5cuafHixbrtttv02muvZXs9c+fOlSQ1b97cYfr8+fPVv39/SdKYMWOUkJCgoUOH6ty5c2rYsKG+/fZbhYaGOls+AAAAAABu4XTwrlixov3fwcHBevPNN51aT3YGVbfZbJo4caImTpzo1DYAAAAAAPCUXN3HW7p2vXVMTIxSU1Mdpt9yyy25XTUAAAAAAF7P6eB95MgRDRo0SFu2bHGYnnabr5SUlFwXBwAAAACAt3M6eA8YMEC+vr766quvFBYWluU9tQEAAAAA+LdyOnjv2rVLO3fuVJUqVVxZDwAAAAAAeYrT9/GuVq1aju7XDQAAAADAv1GOgndcXJz9MWPGDI0ZM0br16/XmTNnHObFxcVZVS8AAAAAAF4lR6eaFypUyOFabmOMWrVq5bAMg6sBAAAAAPB/chS8v//+e6vqAAAAAAAgT8pR8G7WrJlVdQAAAAAAkCc5Paq5JJ0/f14//fSTYmJilJqa6jCvb9++uSoMAAAAAIC8wOng/eWXX+qhhx5SfHy8QkNDHa79ttlsBG8AAAAAlio/dqWnS3DKsemdPF0C3Mzp24mNGjVKAwcO1MWLF3X+/HmdO3fO/jh79qwrawQAAAAAwGs5Hbz/+usvPfXUUwoODnZlPQAAAAAA5ClOB+927dppx44drqwFAAAAAIA8x+lrvDt16qRnn31WBw4cUM2aNeXn5+cwv2vXrrkuDgAAAAAAb+d08H700UclSZMmTUo3z2azKSUlxfmqAAAAAADII5wO3jfePgwAAAAAAKTn9DXeAAAAAADg5gjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIWcDt5ff/21Vq9enW766tWr9c033+SqKAAAAAAA8gqng/fYsWMzvFe3MUZjx47NVVEAAAAAAOQVTgfvX3/9VdWqVUs3vUqVKvrtt99yVRQAAAAAAHmF08G7YMGC+uOPP9JN/+2335Q/f/5cFQUAAAAAQF7hdPDu2rWrRowYod9//90+7bffftOoUaPUtWtXlxQHAAAAAIC383X2hbNmzVL79u1VpUoVlS1bVpL0559/6u6779Yrr7zisgIBAAAAAJ5XfuxKT5fglGPTO3m6BOeDd8GCBbVlyxatWbNGu3fvVlBQkGrVqqV77rnHlfUBAAAAAODVnA7ekmSz2dS2bVu1bdvWVfUAAAAAAJCn5Cp4x8fHa8OGDYqKilJSUpLDvKeeeipXhQEAAAAAkBdkO3ifOHFC4eHh9ue//PKLOnbsqPj4eCUkJKhw4cKKjY1VcHCwSpQoQfAGAAAAAEA5GNV84cKFGjZsmIwxkqRnnnlGHTt21Llz51SsWDHt27dPR48eVZ06dRhcDQAAAACA/y/bwXvUqFG6cuWKunXrJknatWuXnn32Wfn4+MjHx0eJiYkqV66cZs2apeeff96yggEAAAAA8CbZDt5BQUF6//331adPH0mSn5+f8uW79vISJUro+PHjkqRChQopKirKglIBAAAAAPA+2Q7eaR588EFJUp06dbR9+3ZJUrNmzTRu3DhFRkbq6aefVs2aNV1bJQAAAAAAXirHwTvN1KlTFRYWJkmaMGGCChcurMcff1wxMTF65513XFYgAAAAAADezOnbidWvX9/+7yJFimjFihUuKQgAAAAAgLzE6SPeAAAAAADg5pwO3n///bceeeQRlS5dWr6+vvbRzdMeAAAAAAAgF6ea9+/fX1FRUZowYYLCwsJks9lcWRcAAAAAAHmC08F78+bN2rRpk2rXru3CcgAAAAAAyFucPtU8PDxcxhhX1gIAAAAAQJ7jdPCeM2eOxo4dq2PHjrmwHAAAAAAA8pYcnWpeuHBhh2u54+Pjdeuttyo4OFh+fn4Oy549e9Y1FQIAAAAA4MVyFLznzJljURkAAAAAAORNOQre/fr1y9ZyCQkJThUDAAAAAEBe4/Q13sOGDctwenx8vDp06OB0QQAAAAAA5CVOB+9vv/1WL7zwgsO0+Ph4tW/fXikpKbkuDAAAAACAvMDp+3h/++23uuuuu1S0aFE988wzunjxotq1aydfX1998803rqwRAAAAAACv5XTwrlChglavXq3mzZsrX758WrRokQICArRy5Urlz5/flTUCAAAAAOC1nA7eklSjRg199dVXat26tRo2bKivvvpKQUFBrqoNAAAAAACvl6PgXadOHYf7eKcJCAjQyZMn1bRpU/u0n3/+OffVAQAAAADg5XIUvLt3725RGQAAAAAA5E05Ct4vvfSSVXUAAAAAAJAnOX07MQAAAAAAcHMEbwAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCORrV/HopKSlasGCB1q5dq5iYGKWmpjrMX7duXa6LAwAAAADA2zkdvJ9++mktWLBAnTp1Uo0aNWSz2VxZFwAAAAAAeYLTwXvRokX69NNP1bFjR1fWAwAAAABAnuL0Nd7+/v667bbbXFkLAAAAAAB5jtPBe9SoUfrPf/4jY4wr6wEAAAAAIE/J0anmPXv2dHi+bt06ffPNN6pevbr8/Pwc5i1dujT31QEAAAAA4OVyFLwLFizo8LxHjx4uLQYAAAAAgLwmR8F7/vz5VtUBAAAAAECe5PQ13gAAAAAA4OacDt5///23HnnkEZUuXVq+vr7y8fFxeAAAAAAAgFzcx7t///6KiorShAkTFBYWJpvN5sq6AAAAAADIE5wO3ps3b9amTZtUu3ZtF5YDAAAAAEDe4vSp5uHh4dzDGwAAAACAm3A6eM+ZM0djx47VsWPHXFgOAAAAAAB5i9PBu1evXlq/fr1uvfVWhYaGqkiRIg6PnNi4caO6dOmi0qVLy2azafny5Q7z+/fvL5vN5vBo1KiRs6UDAAAAAOA2Tl/jPWfOHJcVER8frzvuuEMDBgzQvffem+Ey7du3d7iPuL+/v8u2DwAAAACAVZwO3v369XNZER06dFCHDh2yXCYgIEClSpVy2TYBAAAAAHCHHAXvuLg4FShQwP7vrKQt5yrr169XiRIlVKhQITVr1kxTpkxRiRIlXLoNAAAAAABcLUfBu3DhwoqOjrYH4Izu3W2Mkc1mU0pKisuK7NChg+6//36VK1dOR48e1YQJE9SyZUvt3LlTAQEBGb4mMTFRiYmJ9udpXxQkJycrOTnZZbWlCfDxzhHereiFO9Bv96Lf7kW/3Yt+uxf9di9v7bdEz92NfrsX/XYvq/qdk/XaTA7uCbZhwwY1bdpUvr6+2rBhQ5bLNmvWLNtFOBRks2nZsmXq3r17pstER0erXLlyWrRokXr27JnhMhMnTlRERES66ZGRkQoODnaqNgAAAAAAJOny5cvq06ePLly4cNMzvnMUvN0hO8FbkipVqqTBgwfrueeey3B+Rke8w8PDFRsb6/LT4CWpxsTVLl+nO+yb2M7TJTiFfrsX/XYv+u1e9Nu96Ld7eWu/JXrubvTbvei3e1nV77i4OBUrVixbwdvpwdVWrVqlkJAQ3XXXXZKkN954Q++++66qVaumN954Q4ULF3Z21Td15swZnThxQmFhYZkuExAQkOFp6H5+fvLz83N5TYkp6U+79wZW9MId6Ld70W/3ot/uRb/di367l7f2W6Ln7ka/3Yt+u5dV/c7Jep2+j/ezzz5rv2567969GjlypDp27Kg//vhDI0eOzNG6Ll26pF27dmnXrl2SpKNHj2rXrl2KiorSpUuXNHr0aG3dulXHjh3T+vXr1aVLFxUrVkw9evRwtnwAAAAAANzC6SPeR48eVbVq1SRJn3/+ubp06aKpU6fq559/VseOHXO0rh07dqhFixb252nBvV+/fpo7d6727t2rDz74QOfPn1dYWJhatGihxYsXKzQ01NnyAQAAAABwC6eDt7+/vy5fvixJ+u6779S3b19JUpEiRW56q7EbNW/eXFldar56tXdeSwAAAAAAgNPB+6677tLIkSPVtGlT/fTTT1q8eLEk6ciRIypbtqzLCgQAAAAAwJs5fY3366+/Ll9fX3322WeaO3euypQpI0n65ptv1L59e5cVCAAAAACAN3P6iPctt9yir776Kt301157LVcFAQAAAACQlzh9xBsAAAAAANwcwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAAC+U6eP/2229avXq1EhISJCnL+3EDAAAAAPBv43TwPnPmjFq3bq3KlSurY8eOio6OliQNHjxYo0aNclmBAAAAAAB4sxwF7+PHj6tbt26SpGeeeUa+vr6KiopScHCwfZlevXpp1apVrq0SAAAAAAAvle3g/eWXX6pt27b2o9nffvutZsyYobJlyzosV6lSJR0/flyS5OPjoyNHjriwXAAAAAAAvEu2g/fp06dVoEABVaxYUZIUHx/vcKQ7TWxsrAICAiRdu947Li7ORaUCAAAAAOB9sh28Bw4cqMmTJ9tPNb/77rv1wQcf2OfbbDalpqZq1qxZatGihSQpNTVV9evXd3HJAAAAAAB4D9+cLNyuXTs1btxYkvTKK6+oefPm2rFjh5KSkjRmzBjt379fZ8+e1Q8//GBJsQAAAAAAeJscj2peoEABSVK1atW0Z88e3XnnnWrTpo3i4+PVs2dP/fLLL7r11ltdXigAAAAAAN4oR0e8b1SqVClFRES4qhYAAAAAAPIcp+/jXaFCBU2YMEGHDx92ZT0AAAAAAOQpTgfvJ598UqtWrVLVqlVVr149zZkzR9HR0a6sDQAAAAAAr+d08B45cqS2b9+uQ4cOqXPnzpo7d65uueUWtW3b1mG0cwAAAAAA/s2cDt5pKleurIiICB0+fFibNm3S6dOnNWDAAFfUBgAAAACA18vV4GppfvrpJ0VGRmrx4sW6cOGC7rvvPlesFgAAAAAAr+d08D5y5Ig+/vhjRUZG6tixY2rRooWmT5+unj17KjQ01JU1AgAAAADgtZwO3lWqVFH9+vU1bNgwPfjggypVqpQr6wIAAAAAIE9wOngfOnRIlStXdmUtAAAAAADkOU4PrkboBgAAAADg5nI9qjkAAAAAAMgcwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACzkdvO+77z5Nnz493fRZs2bp/vvvz1VRAAAAAADkFU4H7w0bNqhTp07pprdv314bN27MVVEAAAAAAOQVTgfvS5cuyd/fP910Pz8/xcXF5aooAAAAAADyCqeDd40aNbR48eJ00xctWqRq1arlqigAAAAAAPIKX2dfOGHCBN177736/fff1bJlS0nS2rVr9cknn2jJkiUuKxAAAAAAAG/mdPDu2rWrli9frqlTp+qzzz5TUFCQatWqpe+++07NmjVzZY0AAAAAAHgtp4O3JHXq1CnDAdYAAAAAAMA13McbAAAAAAALOX3EO1++fLLZbJnOT0lJcXbVAAAAAADkGU4H72XLljk8T05O1i+//KKFCxcqIiIi14UBAAAAAJAXOB28u3Xrlm7afffdp+rVq2vx4sUaNGiQPvnkE3Xt2lX58+fPVZEAAAAAAHgrl1/j3bBhQ3333XeSpDFjxig2NtbVmwAAAAAAwGvkalTzGyUkJOh///ufypYtK0k6ceKEK1cPAAAAAIDXcTp4Fy5c2GFwNWOMLl68qODgYH300UcuKQ4AAAAAAG/ndPCeM2eOw/N8+fKpePHiatiwoQoXLpzbugAAAAAAyBOcDt79+vVzZR0AAAAAAORJubrG+8qVK9qzZ49iYmKUmprqMK9r1665KgwAAAAAgLzA6eC9atUqPfLIIzpz5ky6eTabTSkpKbkqDAAAAACAvMDp24kNHz5cDzzwgKKjo5WamurwIHQDAAAAAHCN08E7JiZGI0eOVMmSJV1ZDwAAAAAAeYrTwfu+++7T+vXrXVgKAAAAAAB5j9PXeL/++uu6//77tWnTJtWsWVN+fn4O85966qlcFwcAAAAAgLdzOnhHRkZq9erVCgoK0vr162Wz2ezzbDYbwRsAAAAAAOUieL/wwguaNGmSxo4dq3z5nD5jHQAAAACAPM3pxJyUlKRevXoRugEAAAAAyILTqblfv35avHixK2sBAAAAACDPcfpU85SUFM2cOVOrV69WrVq10g2uNnv27FwXBwAAAACAt3M6eO/du1d16tSRJO3bt89h3vUDrQEAAAAA8G/mdPD+/vvvXVkHAAAAAAB5EiOjAQAAAABgIYI3AAAAAAAWIngDAAAAAGAhgjcAAAAAABYieAMAAAAAYCGnRzVfsWJFhtNtNpsCAwN12223qUKFCk4XBgAAAABAXuB08O7evbtsNpuMMQ7T06bZbDbdddddWr58uQoXLpzrQgEAAAAA8EZOn2q+Zs0aNWjQQGvWrNGFCxd04cIFrVmzRnfeeae++uorbdy4UWfOnNHo0aNdWS8AAAAAAF7F6SPeTz/9tN555x01adLEPq1Vq1YKDAzUY489pv3792vOnDkaOHCgSwoFAAAAAMAbOX3E+/fff1eBAgXSTS9QoID++OMPSVKlSpUUGxvrfHUAAAAAAHg5p4N3vXr19Oyzz+r06dP2aadPn9aYMWPUoEEDSdKvv/6qsmXL5r5KAAAAAAC8lNOnmr///vvq1q2bypYtq/DwcNlsNkVFRalixYr64osvJEmXLl3ShAkTXFYsAAAAAADexungffvtt+vgwYNavXq1jhw5ImOMqlSpojZt2ihfvmsH0rt37+6qOgEAAAAA8EpOB2/p2q3D2rdvr/bt27uqHgAAAAAA8pRcBe+1a9dq7dq1iomJUWpqqsO8efPm5aowAAAAAADyAqeDd0REhCZNmqT69esrLCxMNpvNlXUBAAAAAJAnOB2833rrLS1YsECPPPJIrovYuHGjZs2apZ07dyo6OlrLli1zuD7cGKOIiAi98847OnfunBo2bKg33nhD1atXz/W2AQAAAACwktO3E0tKSlKTJk1cUkR8fLzuuOMOvf766xnOnzlzpmbPnq3XX39d27dvV6lSpdSmTRtdvHjRJdsHAAAAAMAqTgfvwYMHKzIy0iVFdOjQQZMnT1bPnj3TzTPGaM6cORo/frx69uypGjVqaOHChbp8+bLLtg8AAAAAgFWcPtX8ypUreuedd/Tdd9+pVq1a8vPzc5g/e/bsXBcnSUePHtWpU6fUtm1b+7SAgAA1a9ZMW7Zs0ZAhQ1yyHQAAAAAArOB08N6zZ49q164tSdq3b5/DPFcOtHbq1ClJUsmSJR2mlyxZUsePH8/0dYmJiUpMTLQ/j4uLkyQlJycrOTnZZfWlCfAxLl+nO1jRC3eg3+5Fv92LfrsX/XYv+u1e3tpviZ67G/12L/rtXlb1OyfrtRlj/lHds9lsDoOrbdmyRU2bNtXJkycVFhZmX+7RRx/ViRMntGrVqgzXM3HiREVERKSbHhkZqeDgYEtqBwAAAAD8O1y+fFl9+vTRhQsXVKBAgSyXzdV9vN2hVKlSkq4d+b4+eMfExKQ7Cn69cePGaeTIkfbncXFxCg8PV9u2bW/aFGfUmLja5et0h30T23m6BKfQb/ei3+5Fv92LfrsX/XYvb+23RM/djX67F/12L6v6nXZWdXbkKnhv375dS5YsUVRUlJKSkhzmLV26NDertqtQoYJKlSqlNWvWqE6dOpKujai+YcMGzZgxI9PXBQQEKCAgIN10Pz+/dNeju0Jiinfex9yKXrgD/XYv+u1e9Nu96Ld70W/38tZ+S/Tc3ei3e9Fv97Kq3zlZr9Ojmi9atEhNmzbVgQMHtGzZMiUnJ+vAgQNat26dChYsmKN1Xbp0Sbt27dKuXbskXRtQbdeuXYqKipLNZtOIESM0depULVu2TPv27VP//v0VHBysPn36OFs+AAAAAABu4fQR76lTp+q1117TsGHDFBoaqv/85z+qUKGChgwZ4nBKeHbs2LFDLVq0sD9PO0W8X79+WrBggcaMGaOEhAQNHTpU586dU8OGDfXtt98qNDTU2fIBAAAAAHALp494//777+rUqZOka6d1x8fHy2az6ZlnntE777wjSerUqZOio6Nvuq7mzZvLGJPusWDBAknXBlybOHGioqOjdeXKFW3YsEE1atRwtnQAAAAAANzG6eBdpEgRXbx4UZJUpkwZ+y3Fzp8/r8uXL0uSatasmeF11gAAAAAA/Fs4far53XffrTVr1qhmzZp64IEH9PTTT2vdunVas2aNWrVqJUmaPn26ywoFAAAAAMAbOR28X3/9dV25ckXStVt3+fn5afPmzerZs6cmTJjgsgIBAAAAAPBmTgfvIkWK2P+dL18+jRkzRmPGjHFJUQAAAAAA5BW5uo93amqqfvvtN8XExCg1NdVh3j333JOrwgAAAAAAyAucDt7btm1Tnz59dPz4cRljHObZbDalpKTkujgAAAAAALyd08H78ccfV/369bVy5UqFhYXJZrO5si4AAAAAAPIEp4P3r7/+qs8++0y33XabK+sBAAAAACBPcfo+3g0bNtRvv/3myloAAAAAAMhzcnTEe8+ePfZ/P/nkkxo1apROnTqlmjVrys/Pz2HZWrVquaZCAAAAAAC8WI6Cd+3atWWz2RwGUxs4cKD932nzGFwNAAAAAIBrchS8jx49alUdAAAAAADkSTkK3uXKlbOqDgAAAAAA8iSnB1cDAAAAAAA3R/AGAAAAAMBCBG8AAAAAACxE8AYAAAAAwELZGlztjTfeUNWqVdWyZct083bu3KmDBw/KZrOpatWqqlu3rsuLBAAAAADAW2UreN9111166KGHNH36dHXu3FmSFBMTowcffFDr169XoUKFZIzRhQsX1KJFCy1atEjFixe3tHAAAAAAALxBtk41v+OOO7Rjxw4VKVJEgwYNUmxsrJ588knFxcVp//79Onv2rM6dO6d9+/YpLi5OTz31lNV1AwAAAADgFbJ9jXdgYKAGDBigu+++W8WKFdOqVas0d+5cVa1a1b5MtWrV9MYbb+ibb76xpFgAAAAAALxNjgZXS05OVuHChSVJqamp8vPzS7eMn5+fUlNTXVMdAAAAAABeLkfBe+vWrVq4cKHOnDmjli1b6umnn9bJkyft8//66y8988wzatWqlcsLBQAAAADAG+UoeJcsWVJLly5V0aJF9frrr+vixYsqX768br31Vt12222qUKGCLl68qP/9739W1QsAAAAAgFfJ1qjmGQkPD9fPP/+sNWvW6NChQzLGqFq1amrdurUr6wMAAAAAwKs5HbzTtGnTRm3atHFFLQAAAAAA5Dk5OtVckn788cd0o5Z/8MEHqlChgkqUKKHHHntMiYmJLisQAAAAAABvluPgPXHiRO3Zs8f+fO/evRo0aJBat26tsWPH6ssvv9S0adNcWiQAAAAAAN4qx8F7165dDqOWL1q0SA0bNtS7776rkSNH6r///a8+/fRTlxYJAAAAAIC3ynHwPnfunEqWLGl/vmHDBrVv397+vEGDBjpx4oRrqgMAAAAAwMvlOHiXLFlSR48elSQlJSXp559/VuPGje3zL168KD8/P9dVCAAAAACAF8tx8G7fvr3Gjh2rTZs2ady4cQoODtbdd99tn79nzx7deuutLi0SAAAAAABvlePbiU2ePFk9e/ZUs2bNFBISooULF8rf398+f968eWrbtq1LiwQAAAAAwFvlOHgXL15cmzZt0oULFxQSEiIfHx+H+UuWLFFISIjLCgQAAAAAwJvlOHinKViwYIbTixQp4nQxAAAAAADkNTm+xhsAAAAAAGQfwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAAC3lF8J44caJsNpvDo1SpUp4uCwAAAACAm/L1dAHZVb16dX333Xf25z4+Ph6sBgAAAACA7PGa4O3r68tRbgAAAACA1/Ga4P3rr7+qdOnSCggIUMOGDTV16lRVrFgx0+UTExOVmJhofx4XFydJSk5OVnJyssvrC/AxLl+nO1jRC3eg3+5Fv92LfrsX/XYv+u1e3tpviZ67G/12L/rtXlb1OyfrtRlj/vHd++abb3T58mVVrlxZf//9tyZPnqxDhw5p//79Klq0aIavmThxoiIiItJNj4yMVHBwsNUlAwAAAADysMuXL6tPnz66cOGCChQokOWyXhG8bxQfH69bb71VY8aM0ciRIzNcJqMj3uHh4YqNjb1pU5xRY+Jql6/THfZNbOfpEpxCv92LfrsX/XYv+u1e9Nu9vLXfEj13N/rtXvTbvazqd1xcnIoVK5at4O01p5pfL3/+/KpZs6Z+/fXXTJcJCAhQQEBAuul+fn7y8/NzeU2JKTaXr9MdrOiFO9Bv96Lf7kW/3Yt+uxf9di9v7bdEz92NfrsX/XYvq/qdk/V6xe3EbpSYmKiDBw8qLCzM06UAAAAAAJAlrwjeo0eP1oYNG3T06FH9+OOPuu+++xQXF6d+/fp5ujQAAAAAALLkFaea//nnn+rdu7diY2NVvHhxNWrUSNu2bVO5cuU8XRoAAAAAAFnyiuC9aNEiT5cAAAAAAIBTvOJUcwAAAAAAvBXBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAALAQwRsAAAAAAAsRvAEAAAAAsBDBGwAAAAAAC3lV8H7zzTdVoUIFBQYGql69etq0aZOnSwIAAAAAIEteE7wXL16sESNGaPz48frll1909913q0OHDoqKivJ0aQAAAAAAZMprgvfs2bM1aNAgDR48WFWrVtWcOXMUHh6uuXPnero0AAAAAAAy5evpArIjKSlJO3fu1NixYx2mt23bVlu2bMnwNYmJiUpMTLQ/v3DhgiTp7NmzSk5OdnmNvlfjXb5Odzhz5oynS3AK/XYv+u1e9Nu96Ld70W/38tZ+S/Tc3ei3e9Fv97Kq3xcvXpQkGWNuuqzNZGcpDzt58qTKlCmjH374QU2aNLFPnzp1qhYuXKjDhw+ne83EiRMVERHhzjIBAAAAAP8yJ06cUNmyZbNcxiuOeKex2WwOz40x6aalGTdunEaOHGl/npqaqrNnz6po0aKZvuafKC4uTuHh4Tpx4oQKFCjg6XLyPPrtXvTbvei3e9Fv96Lf7kW/3Y+euxf9di9v7bcxRhcvXlTp0qVvuqxXBO9ixYrJx8dHp06dcpgeExOjkiVLZviagIAABQQEOEwrVKiQVSVarkCBAl61E3o7+u1e9Nu96Ld70W/3ot/uRb/dj567F/12L2/sd8GCBbO1nFcMrubv76969eppzZo1DtPXrFnjcOo5AAAAAAD/NF5xxFuSRo4cqUceeUT169dX48aN9c477ygqKkqPP/64p0sDAAAAACBTXhO8e/XqpTNnzmjSpEmKjo5WjRo19PXXX6tcuXKeLs1SAQEBeumll9KdNg9r0G/3ot/uRb/di367F/12L/rtfvTcvei3e/0b+u0Vo5oDAAAAAOCtvOIabwAAAAAAvBXBGwAAAAAACxG8AQAAAACwEMEbAAAAAAALEbwBAAAAAJZgLO9rCN4ALMMHrXvRb+slJSV5ugQAeRCf38iLYmJilJKSIpvN5ulS/hEI3m6UkpKi5ORkT5fxr5KUlKT4+HiHaampqR6qJu87ffq0du/erZ07d9o/aPljwjqXL19WbGysLl++LEn022IHDx7UpEmTtG/fPk+X8q/CPu0eO3fu1OzZsz1dxr/K8ePHtWnTJkl8flvt9OnTOnDggPbs2aMrV67Yp9Nz6xw6dEjNmjXTe++9J4leSwRvtzl8+LCGDBmidu3aadCgQfrpp588XVKet2/fPvXs2VPNmjVT165dNXnyZF29elX58uVTSkqKp8vLc/bu3as2bdro3nvvVa9evTR06FClpqbyLadF9u/fr/vuu0/33HOPOnfurMjISEmi3xbZu3evmjRpovPnz6tAgQIO8/hjwvWOHz+uzz//XAkJCQQSN9izZ48aNmyoqKgoT5fyrxETE6Pq1atr2LBh+uqrryQRvq2yd+9eNWzYUL169VLt2rX1wAMP2MMgPbfGrl27VLduXR0+fFjff/+9JP4+kQjebrF//37dfffdSkxMVKNGjbRx40aNHTvWfpQKrnf48GHdc889qlixop599lmFh4dr3rx56tKli5KTk+Xj48ORbxf69ddf1bJlS3Xq1ElLlizRE088oe3bt+vvv/+2L0O/XWffvn32/fvFF19UYGCg3n33XSUmJtqX4Q8J14mNjdWAAQM0ePBgvf7667rlllt09uxZnT59WsYY2Ww29m8XOnLkiGrUqKHRo0drxYoVunLlCn8cW2j37t1q3LixRo4cqTlz5mS4DL13vYsXLyo4OFiVK1fWnDlzHMI3nyeu8/fff6tz587q2bOnli1bpnXr1qlgwYKaPXu2XnrpJUmEb1fbvXu3mjZtqgkTJuiHH37QV199pZUrV3q6rH8GA0tFR0eb+vXrmxEjRtinnT171oSGhprIyEgPVpZ3JScnmyeffNI89thj9mlXr141nTt3Njabzdx5550mKSnJGGNMamqqp8rMM1JSUszzzz9vHnroIfu006dPm+bNm5uNGzeajRs32vudkpLiqTLzjL/++stUq1bNPPvss/ZpP/30k+nQoYM5evSoOXfunH2/pt+u8dtvv5kGDRqY6Ohok5iYaPr27Wvq169vatSoYbp162bi4+ONMfTbFc6ePWs6dOhgevfubTp27Ghq1qxpIiMjTUJCgjGGz2xXO378uPHx8TFjxowxxhhz5coVM336dDNgwADz2GOPmU8++cRcvXrVGEPvXS01NdW0adPGvPPOO6Z79+7mnnvuMd9++60xxpiTJ096uLq8Y+PGjaZatWomOjraPu3YsWNm0qRJpkKFCmbatGkerC7v2b17t/H39zfPP/+8MeZar+vVq2f/m+Xf/v8kR7wtZIzRL7/8ouLFi2vIkCGSpMTERBUuXFj169fniLdFfH199ddff9kHQbp69ap8fHzUqlUr9e3bV4mJiRo2bJj9SBVyJ1++fIqOjtbRo0ft095++239+OOPGjRokAYNGqQaNWooISFB+fLl41vlXDDG6I8//lC3bt00bNgw+/Tly5dr+/btuvvuu9WpUycNGjTIflkFnJe2r/7xxx86efKkSpYsqQEDBigmJkajRo3SkCFDdOLECdWvX19JSUn02wUSEhJUtWpV9e/fXytXrtStt96qadOmadmyZfYj39fj88R5qampOnTokEqXLm3//O7atauWLl2quLg47dq1SzNnztSYMWO4bMjFkpOTlZycrPj4eNWpU0cvvviiihUrplmzZqlBgwbq16+fkpKS2L9dICAgQNHR0Tp06JB9Wrly5TR48GD17t1bn3/+udavX++5AvOQ5ORkzZw5U2PHjtWUKVMkXev1/fffr7lz5+rYsWP/+v8n/93v3kI7d+7U6NGjVbNmTbVu3VpVqlSRJPn7+0uSQkNDderUKU+WmOfs3LlTQ4cOVUJCgooUKaJTp07p999/l6+vr6KiojR9+nQ1atRIvXr10o4dOxQXF+fpkr1aWr+vXr2qpk2bKjExUS1bttRjjz2miIgILV68WGvXrtWXX36p4OBgDR06VBLX+Dhr586dGjlypO644w4NGDBA5cqVkyRNmzZN06ZN06xZs7RkyRI9+OCD2rlzpxYtWuThir3bzp079eSTT0qSGjVqpBIlSujZZ59VTEyMpk2bpgcffFDDhw/XwoUL5efnx6BUubRz50499dRTKlq0qJ5++mm1bt1akvT555/bw/fSpUvtgyJdvXqVMJgLaX+jNGnSRG+//bb27NmjfPnyKSgoSCtWrNBnn32mLVu2qEuXLlq9erX27Nnj6ZK93s6dOzV8+HClpKTI19dX/v7+aty4sX788UfVqVNHL730ko4cOaKDBw+qXbt28vf35xRoFyhZsqTCw8P1zTffOBzwCgsL04ABA3T58mX9+OOPHqwwb9ixY4cmTZqk//3vf4qIiJD0f5cY9u3bV7fffrveeustpaSk/Kv3aYK3BXbv3q0mTZooKSlJZcuW1ciRIyXJ4QhrSkqKLl68aH/Ne++9pyVLlnik3rwg7XoSX19fBQUF6bnnntPu3bvVs2dPtWnTRtWqVVO3bt30+OOPa/Dgwdq/fz8jE+dCWr/9/Pzk6+urnj176qmnntI999yjK1eu6Pnnn1eXLl0UHh6uypUrq2bNmnzRkQtpnykpKSkKDQ1VpUqV7PNq1aqlVatWqX///mrUqJEGDx6sCxcu6MiRIx6s2Ltd/3kiSX5+fmrcuLG+/vprHTp0SLfccot92SpVqqhEiRKKjo72VLleL23/ttlsCggI0C233KJ8+fLZzyJYtmyZbr31Vk2fPl3Lli1TXFycXnzxRT333HOeLt0rpfX76tWrCgkJUevWrTVjxgz169dPo0ePVsmSJZWamiofHx+NGDFCBw8e1C+//OLpsr3a9Z8pPj4+9r8FAwIC9MMPP0iS/vvf/yo+Pl533nmnVq9eraVLl0riy2pnpYW7cuXK6emnn9asWbO0cOFCh8F1b7vtNtWvX1+bN2/muvpcSNu/L1y4oMKFC9unpx3dDgsLU506dfTVV18pX758/+4vlDxzhnvetW/fPhMcHGwiIiIynJ92bUPv3r3N9OnTjTHGjB8/3thsNnPo0CG31ZmX3Njz5ORkY4wxR48eNREREeaFF14wCxcuNMZcu6Zqy5Ytpnr16iYqKspjNXuzG/uddv1fmkceecQ8+uijDtP69u1rhgwZYpKTk7lOMIdu9plyvZSUFBMXF2c6duxoPvroIzdUl/fc2O+0z+wTJ06Yu+++29hsNjNu3DiH1zz88MNm4sSJxhiug82pm+3f13++dO/e3dSuXdvcc889JiAgwOzatctdZeYZme3fV65cMQcPHjSJiYn2Za9evWqOHj1q6tatazZu3OiRevOCjPbxtM+JjRs3mscff9z079/fhIWFmSNHjpgff/zRtGzZ0nTp0sVcvHjRU2V7pWPHjpnPPvvMXL582Rjj+Pnx8ssvGx8fH/Pqq6+av//+2z79vvvuM8OHD3d7rXnFzT7D0/b1v/76yxQtWtTMmDHDneX94xC8XWjfvn2maNGi5s4777R/WN74R1jaf3K9evUyc+bMMVOmTDFBQUFmx44dbq83L8is52nhOyPPPfecqV+/vomNjXVXmXlGZv1Oexhz7T+3Nm3amCVLlpj9+/ebcePGmaJFi5qDBw96snSvlJ3PlBufT5gwwdx2223m2LFjbqszr7jZ58mJEydMmzZtTIUKFUzv3r3Nhx9+aJ544glTuHBhc/jwYU+W7pWys38b839/PF+5csWUKFHCFClShNDthMz6ndVgRxMmTDDVq1c3f/31l7vKzFNuto8fOnTI2Gw2U7JkSbNz50779K1bt5oTJ064vV5vdvjwYRMSEmLKly9vFi1aZB+Q8fr9+9VXXzWBgYGma9eupn///mbQoEEmNDTU7Nu3z1Nle7XsfoanpqaaS5cumX79+pl27dqZS5cuubvUfwyCt4vs2rXLBAYGmnr16pmKFSuaKVOmZDkqZa9evYyPj48JDAw027dvd2OleUdOe75r1y4zaNAgU7BgQfPLL7+4r9A8Irv9Pnr0qGnRooUpU6aMufXWW03NmjXptxNyun//8MMPZuTIkaZQoUL02wk363da+D516pSZNWuWadiwoalTp45p3bo1IdAJOd2/ExISzJAhQ0xQUBB/JDshp/3etGmTGTFihClQoAD7t5Nu1vO0QLhmzRqzd+9eT5WZJ9zsbgjXh++vv/7ajBo1yrRs2dIMGjTI7Nmzx1Nle7WcfqYYY8ynn35qChUq9K8+8EXwdoFdu3aZkJAQM378eGOMMREREaZs2bJmypQpDrcvMOb/vl1++OGHTUhIiNm/f78nSvZ6Oem5MdeOmGzdutUMGzaMD1knZLffaeEkNjbW/PDDD2bLli3m1KlTHqnZm+V0/7548aIZN26c6dChA/u3E7Lb7xsvq7h06ZL9DztkX073b2OuBe+HHnrIbNu2zZ2l5gk57XdcXJwZMWKEad68udm9e7e7y80TnNnH4by//vrLjBw50qxevdoYc+2ylBvD9/Wf32lBPKuzI5G53Ozf/+bQbQzBO9fi4uJM8eLFTY8ePRymZ7YTpp2CERUVZX799Ve31ppX5LTnaVJSUhyuX0P25LTfN4YT5IyznylxcXHm7Nmzbq01L3Cm31zH7TxnP7+N4f6vznD28+T8+fP/+j+QnZWbfRw5s2PHDvPkk0+aK1eumOPHj9s/I1JSUuzh++OPP7aH78TERD5Hcon9O3d8PT24m7fz9/dX69atlZCQoPPnzyt//vzy8/PTiy++KEmaO3euJGngwIEqVaqUbDabUlJSFB4e7smyvVpOey5dG90yX7589tu5Ifty2m8fHx9Pluv1nPlMSU1NVWhoqCfL9lrO9BvOc+bzO82//f6vznD286RgwYKeLNur5WYfR/aljc7/+OOP2++GIElJSUny9/fXsmXL1KNHD02fPl02m02dOnXS9OnTlZycrFmzZnm4eu/F/p1Lnk7+ecGbb75pihQpYj+CnZSUZJ+X9g3Q9OnTGZzEhei5e9Fv96Lf7kW/3Yt+uxf9dj96bi3uhuBZ7N/OI3jnwvWnG9atW9fcf//99ufX/9JPnjzZBAcHm1dffZXTcHOJnrsX/XYv+u1e9Nu96Ld70W/3o+fW424InsP+nXsE7xy6cuWKw/O0gRleeeUVU6dOHfu9uG+8RcfMmTPNkSNH3FdoHkLP3Yt+uxf9di/67V70273ot/vRc/fhbgjux/7tWgTvHPjjjz9M586dzbvvvmv/li3NiRMnTJEiRcyECRMcpvNNT+7Qc/ei3+5Fv92LfrsX/XYv+u1+9Nx9uBuC+7F/ux4jleTAlStXJElPPPGEOnTooOeee04XL17UlStXVLZsWY0ZM0afffaZDh48aH8NA03lDj13L/rtXvTbvei3e9Fv96Lf7kfP3ePixYtq06aN2rRpo8mTJ0uSXnzxRT366KOaO3eu5s2bp1OnTqV7XWBgoD744AM1bNjQ3SXnCezfrkfwzoGqVavqyy+/1M8//6xq1appyZIlqlGjhl544QXt3btXrVu31sWLF3XkyBFJUmpqqocr9n703L3ot3vRb/ei3+5Fv92LfrsfPXePtJG0jTE6f/68kpOTJWUvfHM3BOexf1vA04fcvdWVK1fMuXPnzOjRo03Tpk2Nr6+vefHFF02xYsXMHXfcke6UDOQePXcv+u1e9Nu96Ld70W/3ot/uR8+txUjansX+7Ro2Y4zxdPj3drGxsfrqq6+0YMECbd++XX5+fvr1119VvHhxT5eWZ9Fz96Lf7kW/3Yt+uxf9di/67X703HWMMbLZbJKkevXq6dZbb9Wnn34qSUpJSbGf2jxlyhRNnTpVL7/8sp5++mlOebYQ+7fzCN65cP2HgSTFxMTo2LFjKlasmCpWrOjByvIueu5e9Nu96Ld70W/3ot/uRb/dj567RmJiogICAuzPr169Kl9fX7366qv6+OOP9cknn+j222+XuTZItP108lmzZql79+6qVKmSp0rP09i/c4/gDQAAAMDjjh49qqeeekrdunXTgw8+qJCQEPu8P//8U3fccYeGDRumSZMm2adff+Qb+CdjxAEAAAAAHsdI2sjLCN4AAAAAPI6RtJGXcao5AAAAgH+UxMREJSQkaMqUKdq6dat+/PFHPf/883rzzTdVpkwZbd682eFUdOCfjuANAAAA4B+LkbSRFxC8AQAAAPzjMJI28hKCNwAAAAAAFmJwNQAAAAAALETwBgAAAADAQgRvAAAAAAAsRPAGAAAAAMBCBG8AAAAAACxE8AYAAAAAwEIEbwAAAAAALETwBgAAAADAQgRvAAC83OHDhzVt2jQlJiZ6uhTL/P7774qIiFBcXJynSwEAIMcI3gAAuNH69etls9l0/vx5l6zv4sWL6tGjhypUqKCAgIBsv85ms2n58uUuqSG7FixYoEKFCmW5TP/+/dW9e3eHaampqerXr5+2b9+ucePGWVcgAAAWIXgDAOACXbp0UevWrTOct3XrVtlsNv38889q0qSJoqOjVbBgwUzXlZNQ3K9fPw0ePFgPPvhghvMnTpyo2rVrZ2td/wT/+c9/tGDBAodpc+bMUePGjbVixQr9/vvv2rp1q2eKAwDASb6eLgAAgLxg0KBB6tmzp44fP65y5co5zJs3b55q166tunXrSpJKlSqV6+0lJyfLz89PS5cuzfW6cio1NVUVK1bUsWPHXL7ujL6QGDlypP3fq1atcvk2AQCwGke8AQBwgc6dO6tEiRLpjtZevnxZixcv1qBBgyTd/FTz8uXLS5J69Oghm81mf5525HrevHmqWLGiAgICZIxR8+bNNWLEiAzXtWDBAkVERGj37t2y2Wyy2WwO9cXGxqpHjx4KDg5WpUqVtGLFCvu8jOrctWuXbDabtm3bpsuXL0uSfvjhBzVr1kzBwcEqXLiw2rVrp3PnzmXZq9WrV6tq1aoKCQlR+/btFR0dbZ9346nmxhjNnDlTFStWVFBQkO644w599tln6epcu3at6tevr+DgYDVp0kSHDx/OsgYAANyJ4A0AgAv4+vqqb9++WrBggYwx9ulLlixRUlKSHnrooWytZ/v27ZKk+fPnKzo62v5ckn777Td9+umn+vzzz7Vr166brqtXr14aNWqUqlevrujoaEVHR6tXr172+REREXrggQe0Z88edezYUQ899JDOnj170/U2bdpUPXr00K5du9SqVStVr15dW7du1ebNm9WlSxelpKRk+trLly/rlVde0YcffqiNGzcqKipKo0ePznT5F154QfPnz9fcuXO1f/9+PfPMM3r44Ye1YcMGh+XGjx+vV199VTt27JCvr68GDhx40/cBAIC7cKo5AAAuMnDgQM2aNUvr169XixYtJF07zbxnz54qXLhwttZRvHhxSVKhQoXSnZKelJSkDz/80L7MzQQFBSkkJES+vr4Znt7ev39/9e7dW5I0depU/e9//9NPP/2k9u3bZ7neo0ePqnz58urTp4/q16+vN9980z6vevXqWb42OTlZb731lm699VZJ0vDhwzVp0qQMl42Pj9fs2bO1bt06NW7cWJJUsWJFbd68WW+//baaNWtmX3bKlCn252PHjlWnTp105coVBQYGZlkPAADuQPAGAMBFqlSpoiZNmmjevHlq0aKFfv/9d23atEnffvutS9Zfrly5bIfu7KhVq5b93/nz51doaKhiYmKy/fpdu3bp/vvvz9E2g4OD7aFbksLCwjLd5oEDB3TlyhW1adPGYXpSUpLq1KnjMO369xIWFiZJiomJ0S233JKj+gAAsALBGwAAFxo0aJCGDx+uN954Q/Pnz1e5cuXUqlUrl6w7f/78LllPGj8/P4fnNptNqampkqR8+a5djXb9afPJyckOywcFBblkm9dv43pptaxcuVJlypRxmHfjrdOuX6/NZnN4PQAAnsY13gAAuNADDzwgHx8fRUZGauHChRowYIA9CGaXn59fltdJ54S/v79T60o7sn79wGc3Xldeq1YtrV27Nlf1ZaVatWoKCAhQVFSUbrvtNodHeHi4ZdsFAMDVCN4AALhQSEiIevXqpeeff14nT55U//79c7yO8uXLa+3atTp16tRNRwjPzrqOHj2qXbt2KTY2VomJidl6XVq4nThxoo4cOaKVK1fqlVdecVhm3Lhx2r59u4YOHao9e/bo0KFDmjt3rmJjY3NVc5rQ0FCNHj1azzzzjBYuXKjff/9dv/zyi9544w0tXLjQJdsAAMAdCN4AALjYoEGDdO7cObVu3dqpa4xfffVVrVmzRuHh4emuZc6pe++9V+3bt1eLFi1UvHhxffLJJ9l6nZ+fnz755BMdOnRId9xxh2bMmKEpU6Y4LFO5cmV9++232r17t+688041btxYX3zxhXx9XXcl28svv6wXX3xR06ZNU9WqVdWuXTt9+eWXqlChgsu2AQCA1WwmswurAAAAAABArnHEGwAAN9q0aZNCQkJ04cIFT5eSbU2aNNHUqVM9WsPUqVNls9kUFRXl0ToAAHAGR7wBAHCjhIQE/fXXX6pYsaJ95PB/uhMnTih//vwqUqSIx2o4e/asfvrpJ7Vu3dqlp7IDAOAOBG8AAAAAACzkHV+1AwAAAADgpQjeAAAAAABYiOANAAAAAICFCN4AAAAAAFiI4A0AAAAAgIUI3gAAAAAAWIjgDQAAAACAhQjeAAAAAABYiOANAAAAAICF/h+XiGgeiBbRUAAAAABJRU5ErkJggg==",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "# Loại bỏ dòng thiếu vị trí hoặc hạng mục\n",
+    "df = df.dropna(subset=['Vị trí thực hiện', 'Hạng mục vệ sinh'])\n",
+    "\n",
+    "# Đếm số hạng mục vệ sinh KHÁC NHAU theo từng vị trí\n",
+    "hm_diversity = (\n",
+    "    df.groupby('Vị trí thực hiện')['Hạng mục vệ sinh']\n",
+    "      .nunique()\n",
+    "      .sort_values(ascending=False)\n",
+    "      .head(10)\n",
+    ")\n",
+    "\n",
+    "# Vẽ biểu đồ\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "hm_diversity.plot(kind='bar')\n",
+    "plt.title(\"INSIGHT 2 – Top 10 vị trí ĐA DẠNG hạng mục vệ sinh nhất\")\n",
+    "plt.xlabel(\"Vị trí thực hiện\")\n",
+    "plt.ylabel(\"Số hạng mục vệ sinh khác nhau\")\n",
+    "plt.xticks(rotation=45, ha='right')\n",
+    "plt.grid(axis='y')\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 23,
+   "id": "a73f4d3f",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1400x700 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Đọc dữ liệu\n",
+    "df = pd.read_excel(\"LLV_tong_hop_chuan_hoa.xlsx\", dtype=str)\n",
+    "\n",
+    "# Loại bỏ dòng thiếu dữ liệu quan trọng\n",
+    "df = df.dropna(subset=['Vị trí thực hiện', 'Hạng mục vệ sinh'])\n",
+    "\n",
+    "# Lấy top 10 vị trí có nhiều công việc nhất\n",
+    "top_positions = (\n",
+    "    df.groupby('Vị trí thực hiện')\n",
+    "      .size()\n",
+    "      .sort_values(ascending=False)\n",
+    "      .head(10)\n",
+    "      .index\n",
+    ")\n",
+    "\n",
+    "# Lọc dữ liệu theo top vị trí\n",
+    "df_top = df[df['Vị trí thực hiện'].isin(top_positions)]\n",
+    "\n",
+    "# Tạo bảng pivot: số công việc theo vị trí × hạng mục\n",
+    "hm_pivot = (\n",
+    "    df_top\n",
+    "    .groupby(['Vị trí thực hiện', 'Hạng mục vệ sinh'])\n",
+    "    .size()\n",
+    "    .unstack(fill_value=0)\n",
+    ")\n",
+    "\n",
+    "# Chuyển sang TỶ LỆ (%)\n",
+    "hm_ratio = hm_pivot.div(hm_pivot.sum(axis=1), axis=0) * 100\n",
+    "\n",
+    "# (tuỳ chọn) chỉ lấy top 6 hạng mục phổ biến để biểu đồ dễ đọc\n",
+    "top_hangmuc = df['Hạng mục vệ sinh'].value_counts().head(6).index\n",
+    "hm_ratio_top = hm_ratio[top_hangmuc.intersection(hm_ratio.columns)]\n",
+    "\n",
+    "# Vẽ biểu đồ stacked bar theo %\n",
+    "plt.figure(figsize=(14, 7))\n",
+    "hm_ratio_top.plot(kind='bar', stacked=True)\n",
+    "plt.title(\"INSIGHT 4 – Cơ cấu % Hạng mục vệ sinh theo từng Vị trí\")\n",
+    "plt.xlabel(\"Vị trí thực hiện\")\n",
+    "plt.ylabel(\"Tỷ lệ (%)\")\n",
+    "plt.xticks(rotation=45, ha='right')\n",
+    "plt.legend(title=\"Hạng mục vệ sinh\", bbox_to_anchor=(1.05, 1), loc='upper left')\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "id": "3e56296e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "\n",
+    "# Chuyển Tổng thời gian thực hiện từ HH:MM:SS sang timedelta\n",
+    "df['Tổng thời gian thực hiện'] = pd.to_timedelta(\n",
+    "    df['Tổng thời gian thực hiện'],\n",
+    "    errors='coerce'\n",
+    ")\n",
+    "\n",
+    "# Tạo cột số phút\n",
+    "df['Thời gian (phút)'] = df['Tổng thời gian thực hiện'].dt.total_seconds() / 60\n",
+    "\n",
+    "# Loại bỏ dòng thiếu thông tin quan trọng\n",
+    "df = df.dropna(subset=[\n",
+    "    'Vị trí thực hiện',\n",
+    "    'Hạng mục vệ sinh',\n",
+    "    'Thời gian (phút)'\n",
+    "])\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "5b855ec8",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Lấy top 10 vị trí có nhiều công việc nhất\n",
+    "top_positions = (\n",
+    "    df.groupby('Vị trí thực hiện')\n",
+    "      .size()\n",
+    "      .sort_values(ascending=False)\n",
+    "      .head(10)\n",
+    "      .index\n",
+    ")\n",
+    "\n",
+    "df_top = df[df['Vị trí thực hiện'].isin(top_positions)]\n",
+    "\n",
+    "# Thời gian trung bình theo vị trí × hạng mục\n",
+    "hm_time_avg = (\n",
+    "    df_top\n",
+    "    .groupby(['Vị trí thực hiện', 'Hạng mục vệ sinh'])['Thời gian (phút)']\n",
+    "    .mean()\n",
+    "    .reset_index()\n",
+    ")\n",
+    "# Với mỗi vị trí, lấy hạng mục có thời gian trung bình cao nhất\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "id": "86edd033",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "hm_time_max = (\n",
+    "    hm_time_avg\n",
+    "    .sort_values(['Vị trí thực hiện', 'Thời gian (phút)'], ascending=[True, False])\n",
+    "    .groupby('Vị trí thực hiện')\n",
+    "    .head(1)\n",
+    ")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 27,
+   "id": "2e6972ad",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1200x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "plt.figure(figsize=(12, 6))\n",
+    "plt.bar(\n",
+    "    hm_time_max['Vị trí thực hiện'],\n",
+    "    hm_time_max['Thời gian (phút)']\n",
+    ")\n",
+    "\n",
+    "plt.title(\"INSIGHT 5 – Hạng mục TỐN THỜI GIAN nhất tại từng Vị trí\")\n",
+    "plt.xlabel(\"Vị trí thực hiện\")\n",
+    "plt.ylabel(\"Thời gian trung bình (phút)\")\n",
+    "plt.xticks(rotation=45, ha='right')\n",
+    "plt.grid(axis='y')\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 37,
+   "id": "40a4663a",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "# =============================\n",
+    "# 1. ĐỌC DỮ LIỆU & CHUẨN HOÁ THỜI GIAN\n",
+    "# =============================\n",
+    "df = pd.read_excel(\"LLV_tong_hop_chuan_hoa.xlsx\", dtype=str)\n",
+    "\n",
+    "df['Tổng thời gian thực hiện'] = pd.to_timedelta(\n",
+    "    df['Tổng thời gian thực hiện'], errors='coerce'\n",
+    ")\n",
+    "df['Thời gian (phút)'] = df['Tổng thời gian thực hiện'].dt.total_seconds() / 60\n",
+    "\n",
+    "df = df.dropna(subset=[\n",
+    "    'Vị trí thực hiện',\n",
+    "    'Hạng mục vệ sinh',\n",
+    "    'Thời gian (phút)'\n",
+    "])\n",
+    "\n",
+    "# =============================\n",
+    "# 2. TOP 10 VỊ TRÍ (THEO SỐ LẦN)\n",
+    "# =============================\n",
+    "top_positions = (\n",
+    "    df['Vị trí thực hiện']\n",
+    "    .value_counts()\n",
+    "    .head(10)\n",
+    "    .index\n",
+    ")\n",
+    "\n",
+    "df_top = df[df['Vị trí thực hiện'].isin(top_positions)]\n",
+    "\n",
+    "# =============================\n",
+    "# 3. TOP 6 HẠNG MỤC (THEO TẦN SUẤT XUẤT HIỆN)\n",
+    "# =============================\n",
+    "top_hangmuc = (\n",
+    "    df_top['Hạng mục vệ sinh']\n",
+    "    .value_counts()\n",
+    "    .head(6)\n",
+    "    .index\n",
+    ")\n",
+    "\n",
+    "# =============================\n",
+    "# 4. THỜI GIAN TRUNG BÌNH: VỊ TRÍ × HẠNG MỤC\n",
+    "# =============================\n",
+    "pivot_time = (\n",
+    "    df_top[df_top['Hạng mục vệ sinh'].isin(top_hangmuc)]\n",
+    "    .groupby(['Vị trí thực hiện', 'Hạng mục vệ sinh'])['Thời gian (phút)']\n",
+    "    .mean()\n",
+    "    .unstack(fill_value=0)\n",
+    ")\n",
+    "\n",
+    "# Giữ đúng thứ tự top 10 vị trí\n",
+    "pivot_time = pivot_time.reindex(top_positions)\n",
+    "\n",
+    "# =============================\n",
+    "# 5. VẼ STACKED BAR\n",
+    "# =============================\n",
+    "x = np.arange(len(pivot_time.index))\n",
+    "bottom = np.zeros(len(x))\n",
+    "\n",
+    "plt.figure(figsize=(14, 7))\n",
+    "\n",
+    "for hm in pivot_time.columns:\n",
+    "    plt.bar(x, pivot_time[hm], bottom=bottom, label=hm)\n",
+    "    bottom += pivot_time[hm].values\n",
+    "\n",
+    "plt.xticks(x, pivot_time.index, rotation=45, ha='right')\n",
+    "plt.xlabel(\"Vị trí thực hiện (Top 10)\")\n",
+    "plt.ylabel(\"Thời gian trung bình (phút)\")\n",
+    "plt.title(\"Thời gian trung bình theo HẠNG MỤC × Top 10 Vị trí\")\n",
+    "plt.legend(title=\"Hạng mục vệ sinh\", bbox_to_anchor=(1.05, 1), loc='upper left')\n",
+    "plt.grid(axis='y')\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "463817d7",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Nhân viên KD', 'Mã KD', 'Mã địa điểm', 'Vị trí Tòa/ Tháp/ Khu',\n",
+       "       'Vị trí Tầng/ Hầm', 'Khu vực vệ sinh', 'Hạng mục vệ sinh',\n",
+       "       'Kỹ thuật thực hiện', 'Mô tả chi tiết công việc', 'Tần suất thực hiện',\n",
+       "       'Ca làm việc', 'Vị trí thực hiện', 'Tính chất', 'Bộ lịch', 'Thứ',\n",
+       "       'Tuần', 'Số lần/Tuần', 'Số lần/Tháng', 'Số lần/Quý', 'Số lần/\\nNăm',\n",
+       "       'Bắt đầu', 'Kết thúc', 'Tổng thời gian thực hiện', 'Tên Dự Án',\n",
+       "       'Thời gian (phút)'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cf16fe26",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cfae8699",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "6b008890",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Kỹ thuật thực hiện\n",
+       "Trực tua                            793\n",
+       "TVS                                 577\n",
+       "Đẩy ẩm                              428\n",
+       "Lau                                 415\n",
+       "\"Lau, dọn\"                          233\n",
+       "Quét                                213\n",
+       "Chà gạt                             128\n",
+       "Lau, dọn                            116\n",
+       "\"Ăn, ngủ, nghỉ\"                     108\n",
+       "Đẩy khô                             103\n",
+       "Thu gom                              91\n",
+       "Đánh sàn                             76\n",
+       "Ăn, ngủ, nghỉ                        46\n",
+       "Giặt                                 41\n",
+       "Tẩy điểm                             41\n",
+       "\"Sắp xếp, chuẩn bị\"                  36\n",
+       "Giao ca                              36\n",
+       "Sắp xếp, chuẩn bị                    27\n",
+       "Đẩy khô, Đẩy ẩm                      23\n",
+       "Đánh bóng                            18\n",
+       "Đẩy ẩm, Đẩy khô                      15\n",
+       "Thay                                 13\n",
+       "Cấp phát                             11\n",
+       "Vận chuyển                           11\n",
+       "Hút bụi                               8\n",
+       "Thu gom, Vận chuyển                   6\n",
+       "Quét, Lau                             6\n",
+       "Phun rửa                              5\n",
+       "Lau, Đẩy khô                          4\n",
+       "Trực tua, Thu gom                     4\n",
+       "Lau, Quét                             3\n",
+       "Rửa                                   3\n",
+       "Lau, Thu gom                          2\n",
+       "Đẩy ẩm, Lau                           2\n",
+       "Lau, Chà gạt, Phun rửa, Tẩy điểm      2\n",
+       "Đẩy khô, Lau                          1\n",
+       "Lau, Thu gom, Vận chuyển              1\n",
+       "Lau, Đẩy ẩm, Đẩy khô                  1\n",
+       "Giao                                  1\n",
+       "Nhận                                  1\n",
+       "Quét, \"Lau, dọn\"                      1\n",
+       "Trực tua, Đẩy ẩm                      1\n",
+       "Trực tua, Đẩy khô                     1\n",
+       "Giao/Nhận                             1\n",
+       "Lau, Đánh bóng                        1\n",
+       "Đánh sàn, Thu gom                     1\n",
+       "Đẩy ẩm, \"Lau, dọn\"                    1\n",
+       "Tưới nước                             1\n",
+       "\"Nhổ, cắt\", \"Lau, dọn\"                1\n",
+       "\"Lau, dọn\", Bảo dưỡng sàn             1\n",
+       "Thu gom, Trực tua                     1\n",
+       "\"Lau, dọn\", Trực tua                  1\n",
+       "Đẩy khô, Thu gom                      1\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"Kỹ thuật thực hiện\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "2b950fe9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1800x2200 with 10 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "\n",
+    "top10_positions = df[\"Vị trí thực hiện\"].value_counts().head(10).index\n",
+    "df_top = df[df[\"Vị trí thực hiện\"].isin(top10_positions)]\n",
+    "\n",
+    "fig, axes = plt.subplots(5, 2, figsize=(18, 22))\n",
+    "axes = axes.flatten()\n",
+    "\n",
+    "for i, vt in enumerate(top10_positions):\n",
+    "    df_vt = df_top[df_top[\"Vị trí thực hiện\"] == vt]\n",
+    "    top10_tech = (\n",
+    "        df_vt[\"Kỹ thuật thực hiện\"]\n",
+    "        .value_counts()\n",
+    "        .head(10)\n",
+    "        .sort_values()\n",
+    "    )\n",
+    "    \n",
+    "    values = top10_tech.values\n",
+    "    colors = plt.cm.Blues(np.linspace(0.4, 0.9, len(values)))\n",
+    "    \n",
+    "    ax = axes[i]\n",
+    "    ax.barh(top10_tech.index, values, color=colors)\n",
+    "    ax.set_title(f\"{vt} – Top 10 Kỹ thuật thực hiện\")\n",
+    "    ax.set_xlabel(\"Số lượng\")\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "id": "6d6c65ac",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\tainl\\AppData\\Local\\Temp\\ipykernel_33996\\4152383452.py:26: UserWarning: Glyph 128736 (\\N{HAMMER AND WRENCH}) missing from font(s) DejaVu Sans.\n",
+      "  plt.tight_layout()\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "<Figure size 1400x700 with 0 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\tainl\\AppData\\Local\\anaconda3\\Lib\\site-packages\\IPython\\core\\pylabtools.py:170: UserWarning: Glyph 128736 (\\N{HAMMER AND WRENCH}) missing from font(s) DejaVu Sans.\n",
+      "  fig.canvas.print_figure(bytes_io, **kw)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Lọc top 10 vị trí thực hiện\n",
+    "top_positions = df['Vị trí thực hiện'].value_counts().head(10).index\n",
+    "\n",
+    "# Lọc kỹ thuật phổ biến nhất\n",
+    "top_techniques = df['Kỹ thuật thực hiện'].value_counts().head(6).index\n",
+    "\n",
+    "# Lọc dữ liệu liên quan\n",
+    "kt_data = df[df['Vị trí thực hiện'].isin(top_positions)]\n",
+    "\n",
+    "# Tạo bảng chéo (pivot) nhóm dữ liệu\n",
+    "kt_pivot = kt_data.groupby(['Vị trí thực hiện', 'Kỹ thuật thực hiện']).size().unstack(fill_value=0)\n",
+    "\n",
+    "# Chỉ giữ lại các kỹ thuật phổ biến nhất\n",
+    "kt_pivot_top = kt_pivot[top_techniques.intersection(kt_pivot.columns)]\n",
+    "\n",
+    "# Vẽ biểu đồ\n",
+    "plt.figure(figsize=(14, 7))\n",
+    "kt_pivot_top.plot(kind='bar', stacked=True)\n",
+    "plt.title('🛠️ Kỹ thuật thực hiện phổ biến theo Vị trí (Top 10 Vị trí & 6 kỹ thuật)')\n",
+    "plt.xlabel('Vị trí thực hiện')\n",
+    "plt.ylabel('Số lượng công việc')\n",
+    "plt.xticks(rotation=45, ha='right')\n",
+    "plt.legend(title='Kỹ thuật thực hiện')\n",
+    "plt.tight_layout()\n",
+    "plt.grid(axis='y')\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "id": "6dff2db9",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x600 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Tạo bảng pivot: hàng = Vị trí, cột = Kỹ thuật, giá trị = số lần\n",
+    "kt_pivot = df.pivot_table(\n",
+    "    index='Vị trí thực hiện',\n",
+    "    columns='Kỹ thuật thực hiện',\n",
+    "    aggfunc='size',\n",
+    "    fill_value=0\n",
+    ")\n",
+    "\n",
+    "# Đếm số kỹ thuật KHÁC NHAU tại mỗi vị trí (giá trị > 0)\n",
+    "kt_diversity = (kt_pivot > 0).sum(axis=1)\n",
+    "\n",
+    "# Sắp xếp giảm dần\n",
+    "kt_diversity = kt_diversity.sort_values(ascending=False)\n",
+    "\n",
+    "top_kt_diversity = kt_diversity.head(10)\n",
+    "\n",
+    "# Vẽ biểu đồ\n",
+    "plt.figure(figsize=(10, 6))\n",
+    "top_kt_diversity.plot(kind='bar')\n",
+    "\n",
+    "plt.title('Số lượng kỹ thuật khác nhau theo Vị trí thực hiện (Top 10)')\n",
+    "plt.xlabel('Vị trí thực hiện')\n",
+    "plt.ylabel('Số kỹ thuật khác nhau')\n",
+    "plt.xticks(rotation=45, ha='right')\n",
+    "plt.grid(axis='y')\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "id": "08f5358b",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "# =============================\n",
+    "# 1. ĐỌC DỮ LIỆU & CHUẨN HOÁ THỜI GIAN\n",
+    "# =============================\n",
+    "df = pd.read_excel(\"LLV_tong_hop_chuan_hoa.xlsx\", dtype=str)\n",
+    "\n",
+    "df['Tổng thời gian thực hiện'] = pd.to_timedelta(\n",
+    "    df['Tổng thời gian thực hiện'], errors='coerce'\n",
+    ")\n",
+    "df['Thời gian (phút)'] = df['Tổng thời gian thực hiện'].dt.total_seconds() / 60\n",
+    "\n",
+    "df = df.dropna(subset=[\n",
+    "    'Vị trí thực hiện',\n",
+    "    'Kỹ thuật thực hiện',\n",
+    "    'Thời gian (phút)'\n",
+    "])\n",
+    "\n",
+    "# =============================\n",
+    "# 2. TOP 10 VỊ TRÍ (THEO SỐ LẦN)\n",
+    "# =============================\n",
+    "top_positions = (\n",
+    "    df['Vị trí thực hiện']\n",
+    "    .value_counts()\n",
+    "    .head(10)\n",
+    "    .index\n",
+    ")\n",
+    "\n",
+    "df_top = df[df['Vị trí thực hiện'].isin(top_positions)]\n",
+    "\n",
+    "# =============================\n",
+    "# 3. TOP 6 KỸ THUẬT (THEO TẦN SUẤT XUẤT HIỆN)\n",
+    "# =============================\n",
+    "top_techniques = (\n",
+    "    df_top['Kỹ thuật thực hiện']\n",
+    "    .value_counts()\n",
+    "    .head(6)\n",
+    "    .index\n",
+    ")\n",
+    "\n",
+    "# =============================\n",
+    "# 4. THỜI GIAN TRUNG BÌNH: VỊ TRÍ × KỸ THUẬT\n",
+    "# =============================\n",
+    "pivot_time = (\n",
+    "    df_top[df_top['Kỹ thuật thực hiện'].isin(top_techniques)]\n",
+    "    .groupby(['Vị trí thực hiện', 'Kỹ thuật thực hiện'])['Thời gian (phút)']\n",
+    "    .mean()\n",
+    "    .unstack(fill_value=0)\n",
+    ")\n",
+    "\n",
+    "# Giữ đúng thứ tự Top 10 vị trí\n",
+    "pivot_time = pivot_time.reindex(top_positions)\n",
+    "\n",
+    "# =============================\n",
+    "# 5. VẼ STACKED BAR\n",
+    "# =============================\n",
+    "x = np.arange(len(pivot_time.index))\n",
+    "bottom = np.zeros(len(x))\n",
+    "\n",
+    "plt.figure(figsize=(14, 7))\n",
+    "\n",
+    "for tech in pivot_time.columns:\n",
+    "    plt.bar(x, pivot_time[tech], bottom=bottom, label=tech)\n",
+    "    bottom += pivot_time[tech].values\n",
+    "\n",
+    "plt.xticks(x, pivot_time.index, rotation=45, ha='right')\n",
+    "plt.xlabel(\"Vị trí thực hiện (Top 10)\")\n",
+    "plt.ylabel(\"Thời gian trung bình (phút)\")\n",
+    "plt.title(\"INSIGHT – Thời gian trung bình theo KỸ THUẬT × Top 10 Vị trí\")\n",
+    "plt.legend(\n",
+    "    title=\"Kỹ thuật thực hiện\",\n",
+    "    bbox_to_anchor=(1.05, 1),\n",
+    "    loc='upper left'\n",
+    ")\n",
+    "plt.grid(axis='y')\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "7aacd6ca",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Tính chất\n",
+       "Làm sạch                          1239\n",
+       "Định kỳ                            970\n",
+       "Trực tua                           825\n",
+       "Nghỉ ca                            169\n",
+       "Vệ sinh dụng cụ                    156\n",
+       "Xử lý rác                           74\n",
+       "Chuẩn bị đầu ca                     65\n",
+       "Tổng vệ sinh                        64\n",
+       "Làm sạch / Xử lý rác                20\n",
+       "Chuẩn bị vật tư                     18\n",
+       "Kết thúc ca                         15\n",
+       "Hỗ trợ                              15\n",
+       "Kiểm tra & xử lý                    13\n",
+       "Giao ca                              8\n",
+       "Bổ sung & thay vật tư tiêu hao       8\n",
+       "Vận chuyển                           4\n",
+       "Tổng hợp                             4\n",
+       "Chăm sóc cây                         2\n",
+       "Sắp xếp                              1\n",
+       "Thu gom                              1\n",
+       "Name: count, dtype: int64"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"Tính chất\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "9a395e35",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1800x2200 with 10 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "\n",
+    "top10_positions = df[\"Vị trí thực hiện\"].value_counts().head(10).index\n",
+    "df_top = df[df[\"Vị trí thực hiện\"].isin(top10_positions)]\n",
+    "\n",
+    "# 2️⃣ Vẽ biểu đồ\n",
+    "fig, axes = plt.subplots(5, 2, figsize=(18, 22))\n",
+    "axes = axes.flatten()\n",
+    "\n",
+    "for i, vt in enumerate(top10_positions):\n",
+    "    df_vt = df_top[df_top[\"Vị trí thực hiện\"] == vt]\n",
+    "    \n",
+    "    top10_nature = (\n",
+    "        df_vt[\"Tính chất\"]\n",
+    "        .value_counts()\n",
+    "        .head(10)\n",
+    "        .sort_values()\n",
+    "    )\n",
+    "    \n",
+    "    values = top10_nature.values\n",
+    "    colors = plt.cm.Oranges(np.linspace(0.4, 0.9, len(values)))\n",
+    "    \n",
+    "    ax = axes[i]\n",
+    "    ax.barh(top10_nature.index, values, color=colors)\n",
+    "    ax.set_title(f\"{vt} – Top 10 Tính chất công việc\")\n",
+    "    ax.set_xlabel(\"Số lượng công việc\")\n",
+    "    ax.set_ylabel(\"Tính chất\")\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 40,
+   "id": "1f93bded",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "# Đọc dữ liệu\n",
+    "df = pd.read_excel(\"LLV_tong_hop_chuan_hoa.xlsx\", dtype=str)\n",
+    "\n",
+    "df = df.dropna(subset=['Vị trí thực hiện', 'Tính chất'])\n",
+    "\n",
+    "# Top 10 vị trí theo số lần\n",
+    "top_positions = (\n",
+    "    df['Vị trí thực hiện']\n",
+    "    .value_counts()\n",
+    "    .head(10)\n",
+    "    .index\n",
+    ")\n",
+    "\n",
+    "df_top = df[df['Vị trí thực hiện'].isin(top_positions)]\n",
+    "\n",
+    "# Pivot: số lượng theo vị trí × tính chất\n",
+    "pivot_tc = (\n",
+    "    df_top\n",
+    "    .groupby(['Vị trí thực hiện', 'Tính chất'])\n",
+    "    .size()\n",
+    "    .unstack(fill_value=0)\n",
+    ")\n",
+    "\n",
+    "# Chuyển sang %\n",
+    "pivot_tc_pct = pivot_tc.div(pivot_tc.sum(axis=1), axis=0) * 100\n",
+    "pivot_tc_pct = pivot_tc_pct.reindex(top_positions)\n",
+    "\n",
+    "# Vẽ stacked bar\n",
+    "x = np.arange(len(pivot_tc_pct.index))\n",
+    "bottom = np.zeros(len(x))\n",
+    "\n",
+    "plt.figure(figsize=(14, 7))\n",
+    "for col in pivot_tc_pct.columns:\n",
+    "    plt.bar(x, pivot_tc_pct[col], bottom=bottom, label=col)\n",
+    "    bottom += pivot_tc_pct[col].values\n",
+    "\n",
+    "plt.xticks(x, pivot_tc_pct.index, rotation=45, ha='right')\n",
+    "plt.xlabel(\"Vị trí thực hiện (Top 10)\")\n",
+    "plt.ylabel(\"Tỷ lệ (%)\")\n",
+    "plt.title(\" Cơ cấu % TÍNH CHẤT công việc theo Vị trí\")\n",
+    "plt.legend(title=\"Tính chất\", bbox_to_anchor=(1.05, 1), loc='upper left')\n",
+    "plt.grid(axis='y')\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 41,
+   "id": "1df6ae8c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1400x700 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Chuẩn hoá thời gian\n",
+    "df['Tổng thời gian thực hiện'] = pd.to_timedelta(\n",
+    "    df['Tổng thời gian thực hiện'], errors='coerce'\n",
+    ")\n",
+    "df['Thời gian (phút)'] = df['Tổng thời gian thực hiện'].dt.total_seconds() / 60\n",
+    "\n",
+    "df_time = df.dropna(subset=[\n",
+    "    'Vị trí thực hiện',\n",
+    "    'Tính chất',\n",
+    "    'Thời gian (phút)'\n",
+    "])\n",
+    "\n",
+    "top_positions = (\n",
+    "    df_time['Vị trí thực hiện']\n",
+    "    .value_counts()\n",
+    "    .head(10)\n",
+    "    .index\n",
+    ")\n",
+    "\n",
+    "df_top = df_time[df_time['Vị trí thực hiện'].isin(top_positions)]\n",
+    "\n",
+    "pivot_time_tc = (\n",
+    "    df_top\n",
+    "    .groupby(['Vị trí thực hiện', 'Tính chất'])['Thời gian (phút)']\n",
+    "    .mean()\n",
+    "    .unstack(fill_value=0)\n",
+    ")\n",
+    "\n",
+    "pivot_time_tc = pivot_time_tc.reindex(top_positions)\n",
+    "\n",
+    "# Vẽ\n",
+    "x = np.arange(len(pivot_time_tc.index))\n",
+    "bottom = np.zeros(len(x))\n",
+    "\n",
+    "plt.figure(figsize=(14, 7))\n",
+    "for col in pivot_time_tc.columns:\n",
+    "    plt.bar(x, pivot_time_tc[col], bottom=bottom, label=col)\n",
+    "    bottom += pivot_time_tc[col].values\n",
+    "\n",
+    "plt.xticks(x, pivot_time_tc.index, rotation=45, ha='right')\n",
+    "plt.xlabel(\"Vị trí thực hiện (Top 10)\")\n",
+    "plt.ylabel(\"Thời gian trung bình (phút)\")\n",
+    "plt.title(\"INSIGHT C – Thời gian trung bình theo TÍNH CHẤT × Vị trí\")\n",
+    "plt.legend(title=\"Tính chất\", bbox_to_anchor=(1.05, 1), loc='upper left')\n",
+    "plt.grid(axis='y')\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4364b2a9",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4cb64768",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 17,
+   "id": "d91501a6",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Vị trí Tầng/ Hầm\n",
+       "Tầng 1                574\n",
+       "Ngoại cảnh            137\n",
+       "Hầm                    85\n",
+       "Tầng G                 66\n",
+       "Tầng 13                51\n",
+       "                     ... \n",
+       "Tầng 9 đến tầng 12      1\n",
+       "Tầng 14 - 2             1\n",
+       "Tâng 14                 1\n",
+       "Tâng 2                  1\n",
+       "Tầng 8, 12,12A,14       1\n",
+       "Name: count, Length: 343, dtype: int64"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df[\"Vị trí Tầng/ Hầm\"].value_counts()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "id": "649d7edd",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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+      "text/plain": [
+       "<Figure size 1800x2200 with 10 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "\n",
+    "top10_positions = df[\"Vị trí thực hiện\"].value_counts().head(10).index\n",
+    "df_top = df[df[\"Vị trí thực hiện\"].isin(top10_positions)]\n",
+    "\n",
+    "# 2️⃣ Vẽ biểu đồ\n",
+    "fig, axes = plt.subplots(5, 2, figsize=(18, 22))\n",
+    "axes = axes.flatten()\n",
+    "\n",
+    "for i, vt in enumerate(top10_positions):\n",
+    "    df_vt = df_top[df_top[\"Vị trí thực hiện\"] == vt]\n",
+    "    \n",
+    "    top10_nature = (\n",
+    "        df_vt[\"Vị trí Tầng/ Hầm\"]\n",
+    "        .value_counts()\n",
+    "        .head(10)\n",
+    "        .sort_values()\n",
+    "    )\n",
+    "    \n",
+    "    values = top10_nature.values\n",
+    "    colors = plt.cm.Oranges(np.linspace(0.4, 0.9, len(values)))\n",
+    "    \n",
+    "    ax = axes[i]\n",
+    "    ax.barh(top10_nature.index, values, color=colors)\n",
+    "    ax.set_title(f\"{vt} – Top 10 Tính chất công việc\")\n",
+    "    ax.set_xlabel(\"Số lượng công việc\")\n",
+    "    ax.set_ylabel(\"Tính chất\")\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "46118876",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pandas as pd\n",
+    "import re\n",
+    "from pyvi import ViTokenizer\n",
+    "from wordcloud import WordCloud\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# =============================\n",
+    "# 1. ĐỌC DỮ LIỆU\n",
+    "# =============================\n",
+    "# df = pd.read_excel(\"LLV_tong_hop_chuan_hoa.xlsx\", dtype=str)\n",
+    "df = df.dropna(subset=['Vị trí thực hiện', 'Mô tả chi tiết công việc'])\n",
+    "\n",
+    "# =============================\n",
+    "# 2. ĐỌC STOPWORDS\n",
+    "# =============================\n",
+    "with open(\"vietnamese-stopwords-dash.txt\", \"r\", encoding=\"utf-8\") as f:\n",
+    "    stopwords = set([line.strip() for line in f if line.strip()])\n",
+    "\n",
+    "# =============================\n",
+    "# 3. HÀM LÀM SẠCH + TOKENIZE\n",
+    "# =============================\n",
+    "def preprocess_text(text):\n",
+    "    text = text.lower()\n",
+    "    text = re.sub(r'[^a-zàáạảãâầấậẩẫăằắặẳẵèéẹẻẽêềếệểễ'\n",
+    "                  r'ìíịỉĩòóọỏõôồốộổỗơờớợởỡ'\n",
+    "                  r'ùúụủũưừứựửữỳýỵỷỹđ\\s]', ' ', text)\n",
+    "\n",
+    "    # Tokenize bằng PyVi (tạo cụm từ có nghĩa)\n",
+    "    text = ViTokenizer.tokenize(text)\n",
+    "\n",
+    "    tokens = text.split()\n",
+    "\n",
+    "    # Loại stopwords & token ngắn\n",
+    "    tokens = [\n",
+    "        token for token in tokens\n",
+    "        if token not in stopwords and len(token) > 2\n",
+    "    ]\n",
+    "\n",
+    "    return \" \".join(tokens)\n",
+    "\n",
+    "# =============================\n",
+    "# 4. HÀM VẼ WORD CLOUD CHO 1 VỊ TRÍ\n",
+    "# =============================\n",
+    "def plot_wordcloud_by_position(position_name):\n",
+    "    df_pos = df[df['Vị trí thực hiện'] == position_name]\n",
+    "\n",
+    "    if df_pos.empty:\n",
+    "        print(f\"❌ Không có dữ liệu cho vị trí: {position_name}\")\n",
+    "        return\n",
+    "\n",
+    "    text_all = \" \".join(df_pos['Mô tả chi tiết công việc'].astype(str))\n",
+    "    text_clean = preprocess_text(text_all)\n",
+    "\n",
+    "    if len(text_clean.strip()) == 0:\n",
+    "        print(f\"⚠️ Không còn từ có ý nghĩa sau khi lọc cho vị trí: {position_name}\")\n",
+    "        return\n",
+    "\n",
+    "    wordcloud = WordCloud(\n",
+    "        width=1000,\n",
+    "        height=600,\n",
+    "        background_color=\"white\",\n",
+    "        max_words=150,\n",
+    "        collocations=False,\n",
+    "        font_path=\"arial.ttf\"  # ⚠️ đổi font nếu cần (bắt buộc cho tiếng Việt)\n",
+    "    ).generate(text_clean)\n",
+    "\n",
+    "    plt.figure(figsize=(12, 7))\n",
+    "    plt.imshow(wordcloud, interpolation=\"bilinear\")\n",
+    "    plt.axis(\"off\")\n",
+    "    plt.title(f\"Word Cloud – Mô tả công việc tại {position_name}\", fontsize=14)\n",
+    "    plt.tight_layout()\n",
+    "    plt.show()\n",
+    "\n",
+    "# =============================\n",
+    "# 5. VÍ DỤ GỌI HÀM\n",
+    "# =============================\n",
+    "plot_wordcloud_by_position(\"VT3\")\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "bd268955",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "dd1ed1d7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "6e5de519",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d8233c89",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.12.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/vietnamese-stopwords-dash.txt b/vietnamese-stopwords-dash.txt
new file mode 100644
index 0000000..b3625ce
--- /dev/null
+++ b/vietnamese-stopwords-dash.txt
@@ -0,0 +1,1942 @@
+a_lô
+a_ha
+ai
+ai_ai
+ai_nấy
+ai_đó
+alô
+amen
+anh
+anh_ấy
+ba
+ba_ba
+ba_bản
+ba_cùng
+ba_họ
+ba_ngày
+ba_ngôi
+ba_tăng
+bao_giờ
+bao_lâu
+bao_nhiêu
+bao_nả
+bay_biến
+biết
+biết_bao
+biết_bao_nhiêu
+biết_chắc
+biết_chừng_nào
+biết_mình
+biết_mấy
+biết_thế
+biết_trước
+biết_việc
+biết_đâu
+biết_đâu_chừng
+biết_đâu_đấy
+biết_được
+buổi
+buổi_làm
+buổi_mới
+buổi_ngày
+buổi_sớm
+bà
+bà_ấy
+bài
+bài_bác
+bài_bỏ
+bài_cái
+bác
+bán
+bán_cấp
+bán_dạ
+bán_thế
+bây_bẩy
+bây_chừ
+bây_giờ
+bây_nhiêu
+bèn
+béng
+bên
+bên_bị
+bên_có
+bên_cạnh
+bông
+bước
+bước_khỏi
+bước_tới
+bước_đi
+bạn
+bản
+bản_bộ
+bản_riêng
+bản_thân
+bản_ý
+bất_chợt
+bất_cứ
+bất_giác
+bất_kì
+bất_kể
+bất_kỳ
+bất_luận
+bất_ngờ
+bất_nhược
+bất_quá
+bất_quá_chỉ
+bất_thình_lình
+bất_tử
+bất_đồ
+bấy
+bấy_chầy
+bấy_chừ
+bấy_giờ
+bấy_lâu
+bấy_lâu_nay
+bấy_nay
+bấy_nhiêu
+bập_bà_bập_bõm
+bập_bõm
+bắt_đầu
+bắt_đầu_từ
+bằng
+bằng_cứ
+bằng_không
+bằng_người
+bằng_nhau
+bằng_như
+bằng_nào
+bằng_nấy
+bằng_vào
+bằng_được
+bằng_ấy
+bển
+bệt
+bị
+bị_chú
+bị_vì
+bỏ
+bỏ_bà
+bỏ_cha
+bỏ_cuộc
+bỏ_không
+bỏ_lại
+bỏ_mình
+bỏ_mất
+bỏ_mẹ
+bỏ_nhỏ
+bỏ_quá
+bỏ_ra
+bỏ_riêng
+bỏ_việc
+bỏ_xa
+bỗng
+bỗng_chốc
+bỗng_dưng
+bỗng_không
+bỗng_nhiên
+bỗng_nhưng
+bỗng_thấy
+bỗng_đâu
+bộ
+bộ_thuộc
+bộ_điều
+bội_phần
+bớ
+bởi
+bởi_ai
+bởi_chưng
+bởi_nhưng
+bởi_sao
+bởi_thế
+bởi_thế_cho_nên
+bởi_tại
+bởi_vì
+bởi_vậy
+bởi_đâu
+bức
+cao
+cao_lâu
+cao_ráo
+cao_răng
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+cao_thấp
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+cao_xa
+cha
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+chao_ôi
+chia_sẻ
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+cho_biết
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+cho_nhau
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+cho_rồi
+cho_thấy
+cho_tin
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+cho_tới_khi
+cho_về
+cho_ăn
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+cho_đến_khi
+cho_đến_nỗi
+choa
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+chung_nhau
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+chưa_bao_giờ
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+chắc_chắn
+chắc_dạ
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+chắc_lòng
+chắc_người
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+chỉ
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+chỉ_có
+chỉ_là
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+chọn_bên
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+chốc_chốc
+chớ
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+con_con
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+cái
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+câu_hỏi
+cây
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+còn_nữa
+còn_thời_gian
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+có_ai
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+lâu_ngày
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+veo
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+việc_gì
+vung_thiên_địa
+vung_tàn_tán
+vung_tán_tàn
+và
+vài
+vài_ba
+vài_người
+vài_nhà
+vài_nơi
+vài_tên
+vài_điều
+vào
+vào_gặp
+vào_khoảng
+vào_lúc
+vào_vùng
+vào_đến
+vâng
+vâng_chịu
+vâng_dạ
+vâng_vâng
+vâng_ý
+vèo
+vèo_vèo
+vì
+vì_chưng
+vì_rằng
+vì_sao
+vì_thế
+vì_vậy
+ví_bằng
+ví_dù
+ví_phỏng
+ví_thử
+vô_hình_trung
+vô_kể
+vô_luận
+vô_vàn
+vùng
+vùng_lên
+vùng_nước
+văng_tê
+vượt
+vượt_khỏi
+vượt_quá
+vạn_nhất
+vả_chăng
+vả_lại
+vấn_đề
+vấn_đề_quan_trọng
+vẫn
+vẫn_thế
+vậy
+vậy_là
+vậy_mà
+vậy_nên
+vậy_ra
+vậy_thì
+vậy_ư
+về
+về_không
+về_nước
+về_phần
+về_sau
+về_tay
+vị_trí
+vị_tất
+vốn_dĩ
+với
+với_lại
+với_nhau
+vở
+vụt
+vừa
+vừa_khi
+vừa_lúc
+vừa_mới
+vừa_qua
+vừa_rồi
+vừa_vừa
+xa
+xa_cách
+xa_gần
+xa_nhà
+xa_tanh
+xa_tắp
+xa_xa
+xa_xả
+xem
+xem_lại
+xem_ra
+xem_số
+xin
+xin_gặp
+xin_vâng
+xiết_bao
+xon_xón
+xoành_xoạch
+xoét
+xoẳn
+xoẹt
+xuất_hiện
+xuất_kì_bất_ý
+xuất_kỳ_bất_ý
+xuể
+xuống
+xăm_xúi
+xăm_xăm
+xăm_xắm
+xảy_ra
+xềnh_xệch
+xệp
+xử_lý
+yêu_cầu
+à
+à_này
+à_ơi
+ào
+ào_vào
+ào_ào
+á
+á_à
+ái
+ái_chà
+ái_dà
+áng
+áng_như
+âu_là
+ít
+ít_biết
+ít_có
+ít_hơn
+ít_khi
+ít_lâu
+ít_nhiều
+ít_nhất
+ít_nữa
+ít_quá
+ít_ra
+ít_thôi
+ít_thấy
+ô_hay
+ô_hô
+ô_kê
+ô_kìa
+ôi_chao
+ôi_thôi
+ông
+ông_nhỏ
+ông_tạo
+ông_từ
+ông_ấy
+ông_ổng
+úi
+úi_chà
+úi_dào
+ý
+ý_chừng
+ý_da
+ý_hoặc
+ăn
+ăn_chung
+ăn_chắc
+ăn_chịu
+ăn_cuộc
+ăn_hết
+ăn_hỏi
+ăn_làm
+ăn_người
+ăn_ngồi
+ăn_quá
+ăn_riêng
+ăn_sáng
+ăn_tay
+ăn_trên
+ăn_về
+đang
+đang_tay
+đang_thì
+điều
+điều_gì
+điều_kiện
+điểm
+điểm_chính
+điểm_gặp
+điểm_đầu_tiên
+đành_đạch
+đáng
+đáng_kể
+đáng_lí
+đáng_lý
+đáng_lẽ
+đáng_số
+đánh_giá
+đánh_đùng
+đáo_để
+đâu
+đâu_có
+đâu_cũng
+đâu_như
+đâu_nào
+đâu_phải
+đâu_đâu
+đâu_đây
+đâu_đó
+đây
+đây_này
+đây_rồi
+đây_đó
+đã
+đã_hay
+đã_không
+đã_là
+đã_lâu
+đã_thế
+đã_vậy
+đã_đủ
+đó
+đó_đây
+đúng
+đúng_ngày
+đúng_ra
+đúng_tuổi
+đúng_với
+đơn_vị
+đưa
+đưa_cho
+đưa_chuyện
+đưa_em
+đưa_ra
+đưa_tay
+đưa_tin
+đưa_tới
+đưa_vào
+đưa_về
+đưa_xuống
+đưa_đến
+được
+được_cái
+được_lời
+được_nước
+được_tin
+đại_loại
+đại_nhân
+đại_phàm
+đại_để
+đạt
+đảm_bảo
+đầu_tiên
+đầy
+đầy_năm
+đầy_phè
+đầy_tuổi
+đặc_biệt
+đặt
+đặt_làm
+đặt_mình
+đặt_mức
+đặt_ra
+đặt_trước
+đặt_để
+đến
+đến_bao_giờ
+đến_cùng
+đến_cùng_cực
+đến_cả
+đến_giờ
+đến_gần
+đến_hay
+đến_khi
+đến_lúc
+đến_lời
+đến_nay
+đến_ngày
+đến_nơi
+đến_nỗi
+đến_thì
+đến_thế
+đến_tuổi
+đến_xem
+đến_điều
+đến_đâu
+đều
+đều_bước
+đều_nhau
+đều_đều
+để
+để_cho
+để_giống
+để_không
+để_lòng
+để_lại
+để_mà
+để_phần
+để_được
+để_đến_nỗi
+đối_với
+đồng_thời
+đủ
+đủ_dùng
+đủ_nơi
+đủ_số
+đủ_điều
+đủ_điểm
+ơ
+ơ_hay
+ơ_kìa
+ơi
+ơi_là
+ư
+ạ
+ạ_ơi
+ấy
+ấy_là
+ầu_ơ
+ắt
+ắt_hẳn
+ắt_là
+ắt_phải
+ắt_thật
+ối_dào
+ối_giời
+ối_giời_ơi
+ồ
+ồ_ồ
+ổng
+ớ
+ớ_này
+ờ
+ờ_ờ
+ở
+ở_lại
+ở_như
+ở_nhờ
+ở_năm
+ở_trên
+ở_vào
+ở_đây
+ở_đó
+ở_được
+ủa
+ứ_hự
+ứ_ừ
+ừ
+ừ_nhé
+ừ_thì
+ừ_ào
+ừ_ừ
+ử
\ No newline at end of file