madii_user_research.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1b70cabf",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import matplotlib.pyplot as plt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "84955121",
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"C:\\\\Users\\\\kimsy\\\\Desktop\\\\seesaw.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a5f4059f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 일, 프로젝트 업무량 평균\n",
    "df['workAvg'] = round((df['work1'] + df['work2'] + df['work3'] + df['work4'] + df['work5'] + df['work6'])/6, 2)\n",
    "\n",
    "# 자기 이해도 평균\n",
    "df['knowAvg'] = round((df['know1'] + df['know2'] + df['know3'] + df['know4'] + df['know5'] + df['know6'] + df['know7'] + df['know8'])/8, 2)\n",
    "df['knowAvg1'] = round((df['know1'] + df['know2'] + df['know3'] + df['know4'])/4, 2)\n",
    "df['knowAvg2'] = round((df['know5'] + df['know6'] + df['know7'])/3, 2)\n",
    "\n",
    "# 자기돌봄 실천 평균 (절대적 시간, 신체적 안정, 정신적 안정, 인간관계, 자기계발, 여가)\n",
    "df['timeAvg'] = round((df['time1'] + df['time2'] + df['time3'])/3, 2)\n",
    "df['physicAvg'] = round((df['physic1'] + df['physic2'] + df['physic3'])/3, 2)\n",
    "df['mentalAvg'] = round((df['mental1'] + df['mental2'] + df['mental3'])/3, 2)\n",
    "df['relatnAvg'] = round((df['relatn1'] + df['relatn2'] + df['relatn3'])/3, 2)\n",
    "df['improvAvg'] = round((df['improv1'] + df['improv2'] + df['improv3'])/3, 2)\n",
    "df['leisrAvg'] = round((df['leisr1'] + df['leisr2'] + df['leisr3'])/3, 2)\n",
    "\n",
    "# 자기돌봄 전체 평균\n",
    "df['scAvg'] = round((df['timeAvg'] + df['physicAvg'] + df['mentalAvg'] + df['relatnAvg'] + df['improvAvg'] + df['leisrAvg'])/6, 2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "ff995b88",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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06js2bW1tkqS4uDhJUlNTkzwej3Jycnz72O12ZWVlad++fb05FQAAAAB067rfY2OMUUlJiSZOnKj09HRJksfjkSQlJCT47ZuQkKD33nuvy+N4vV55vV7fcnt7+/WWBAAAACBKXfeMTXFxsQ4fPqyXXnqp0zabzea3bIzptO6K8vJyxcbG+kZSUtL1lgQAAAAgSl1XsFm4cKG2bNmi3bt3a8SIEb71TqdT0v8/c3NFa2trp1mcK0pLS9XW1uYbLS0t11MSAAAAgCjWo2BjjFFxcbFefvll7dq1SykpKX7bU1JS5HQ6VVtb61t38eJF1dfXKzMzs8tj2u12DRkyxG8AAAAAQE/06Ds2RUVFqq6u1iuvvCKHw+GbmYmNjVVMTIxsNpsWLVqksrIypaamKjU1VWVlZRo0aJDmzp0blAsAAAAAgB4Fm4qKCklSdna23/rKykoVFhZKkpYsWaILFy5owYIFOnPmjMaNG6cdO3bI4XAEpGAAAAAA+Gs9CjbGmC/dx2azye12y+12X29NAAAAANAjvXqPDQAAAABEAoINAAAAAMsj2AAAAMsoLy/X2LFj5XA4FB8fr5kzZ+rYsWN++xQWFspms/mN8ePHh6liAKFCsAEAAJZRX1+voqIiNTQ0qLa2VpcuXVJOTo46Ojr89ps+fbpOnjzpG1u3bg1TxQBCpUcPDwAAAAinbdu2+S1XVlYqPj5ejY2NmjRpkm+93W73vTgcQHRgxgYAAFhWW1ubJCkuLs5vfV1dneLj45WWlqZ58+aptbX1qsfxer1qb2/3GwCshRkbAABgScYYlZSUaOLEiUpPT/etz83N1cMPP6zk5GQ1NTXpySef1JQpU9TY2Ci73d7lscrLy7VixYpQlQ5cs5FLa4J+juaVM4J+jlAg2AAAAEsqLi7W4cOHtXfvXr/1c+bM8f06PT1dGRkZSk5OVk1NjfLz87s8VmlpqUpKSnzL7e3tSkpKCk7hAIKCYAMAACxn4cKF2rJli/bs2aMRI0ZcdV+Xy6Xk5GQdP368233sdnu3szkArIFgAwAALMMYo4ULF2rTpk2qq6tTSkrKl37m9OnTamlpkcvlCkGFAMKFhwcAAADLKCoq0gsvvKDq6mo5HA55PB55PB5duHBBknT+/HktXrxY+/fvV3Nzs+rq6pSXl6fhw4dr1qxZYa4eQDAxYwMAACyjoqJCkpSdne23vrKyUoWFherXr5+OHDmi9evX6+zZs3K5XJo8ebI2btwoh8MRhooBhArBBgAAWIYx5qrbY2JitH379hBVAyCScCsaAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwPIINgJAqLy/X2LFj5XA4FB8fr5kzZ+rYsWN++xhj5Ha7lZiYqJiYGGVnZ+vo0aNhqhgAAFgBwQZASNXX16uoqEgNDQ2qra3VpUuXlJOTo46ODt8+q1at0urVq7V27VodOHBATqdT06ZN07lz58JYOQAAiGT9w10AgOiybds2v+XKykrFx8ersbFRkyZNkjFGa9as0fLly5Wfny9JqqqqUkJCgqqrqzV//vxwlA0AACIcMzYAwqqtrU2SFBcXJ0lqamqSx+NRTk6Obx+73a6srCzt27evy2N4vV61t7f7DQAAEF0INgDCxhijkpISTZw4Uenp6ZIkj8cjSUpISPDbNyEhwbftr5WXlys2NtY3kpKSgls4AACIOAQbAGFTXFysw4cP66WXXuq0zWaz+S0bYzqtu6K0tFRtbW2+0dLSEpR6AQBA5OI7NgDCYuHChdqyZYv27NmjESNG+NY7nU5Jn8/cuFwu3/rW1tZOszhX2O122e324BYMAAAiGjM2AELKGKPi4mK9/PLL2rVrl1JSUvy2p6SkyOl0qra21rfu4sWLqq+vV2ZmZqjLBQAAFsGMDYCQKioqUnV1tV555RU5HA7f92ZiY2MVExMjm82mRYsWqaysTKmpqUpNTVVZWZkGDRqkuXPnhrl6AAAQqQg2AEKqoqJCkpSdne23vrKyUoWFhZKkJUuW6MKFC1qwYIHOnDmjcePGaceOHXI4HCGuFgAAWAXBBkBIGWO+dB+bzSa32y232x38ggAAQJ/Ad2wAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAIBllJeXa+zYsXI4HIqPj9fMmTN17Ngxv32MMXK73UpMTFRMTIyys7N19OjRMFUMIFQINgAAwDLq6+tVVFSkhoYG1dbW6tKlS8rJyVFHR4dvn1WrVmn16tVau3atDhw4IKfTqWnTpuncuXNhrBxAsPU42OzZs0d5eXlKTEyUzWbT5s2b/bYXFhbKZrP5jfHjxweqXgAAEMW2bdumwsJCjRo1SmPGjFFlZaXef/99NTY2Svp8tmbNmjVavny58vPzlZ6erqqqKn3yySeqrq4Oc/UAgqnHwaajo0NjxozR2rVru91n+vTpOnnypG9s3bq1V0UCAAB0pa2tTZIUFxcnSWpqapLH41FOTo5vH7vdrqysLO3bt6/b43i9XrW3t/sNANbSv6cfyM3NVW5u7lX3sdvtcjqd110UAACBNHJpTdDP0bxyRtDPAX/GGJWUlGjixIlKT0+XJHk8HklSQkKC374JCQl67733uj1WeXm5VqxYEbxiAQRdUL5jU1dXp/j4eKWlpWnevHlqbW3tdl9+QgIAAK5HcXGxDh8+rJdeeqnTNpvN5rdsjOm07otKS0vV1tbmGy0tLQGvF0Bw9XjG5svk5ubq4YcfVnJyspqamvTkk09qypQpamxslN1u77Q/PyHpuWD/5LG7nzryE08AQKRYuHChtmzZoj179mjEiBG+9VfuGPF4PHK5XL71ra2tnWZxvshut3f57xQA1hHwGZs5c+ZoxowZSk9PV15enl599VW98847qqnp+h/F/IQEAABcK2OMiouL9fLLL2vXrl1KSUnx256SkiKn06na2lrfuosXL6q+vl6ZmZmhLhdACAV8xuavuVwuJScn6/jx411u5yckAADgWhUVFam6ulqvvPKKHA6H7zs1sbGxiomJkc1m06JFi1RWVqbU1FSlpqaqrKxMgwYN0ty5c8NcPYBgCnqwOX36tFpaWvymgwEAAK5HRUWFJCk7O9tvfWVlpQoLCyVJS5Ys0YULF7RgwQKdOXNG48aN044dO+RwOEJcLYBQ6nGwOX/+vE6cOOFbbmpq0qFDhxQXF6e4uDi53W7Nnj1bLpdLzc3NWrZsmYYPH65Zs2YFtHAAABB9jDFfuo/NZpPb7Zbb7Q5+QQAiRo+DzcGDBzV58mTfcklJiSSpoKBAFRUVOnLkiNavX6+zZ8/K5XJp8uTJ2rhxIz8lAQAAABA0PQ422dnZV/1pyfbt23tVEAAAAAD0VFDeYwMAAAAAoUSwAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewARBSe/bsUV5enhITE2Wz2bR582a/7YWFhbLZbH5j/Pjx4SkWAABYBsEGQEh1dHRozJgxWrt2bbf7TJ8+XSdPnvSNrVu3hrBCAABgRf3DXQCA6JKbm6vc3Nyr7mO32+V0OkNUEQAA6MrIpTVBPX7zyhkBPR4zNgAiTl1dneLj45WWlqZ58+aptbX1qvt7vV61t7f7DQAAEF2YsQEQUXJzc/Xwww8rOTlZTU1NevLJJzVlyhQ1NjbKbrd3+Zny8nKtWLEixJVaV7B/AicF/qdwAAB8GYINgIgyZ84c36/T09OVkZGh5ORk1dTUKD8/v8vPlJaWqqSkxLfc3t6upKSkoNcKAAAiB8EGQERzuVxKTk7W8ePHu93Hbrd3O5sDAACiA9+xARDRTp8+rZaWFrlcrnCXAgAAIhgzNgBC6vz58zpx4oRvuampSYcOHVJcXJzi4uLkdrs1e/ZsuVwuNTc3a9myZRo+fLhmzZoVxqoBAECkI9gACKmDBw9q8uTJvuUr340pKChQRUWFjhw5ovXr1+vs2bNyuVyaPHmyNm7cKIfDEa6SAQCABRBsAIRUdna2jDHdbt++fXsIqwEAAH0F37EBAAAAYHkEGwAAAACWR7ABAAAAYHkEGwAAAACWR7ABAAAAYHkEGwAAYCl79uxRXl6eEhMTZbPZtHnzZr/thYWFstlsfmP8+PHhKRZAyBBsAACApXR0dGjMmDFau3Ztt/tMnz5dJ0+e9I2tW7eGsEIA4cB7bAAAgKXk5uYqNzf3qvvY7XY5nc4QVQQgEjBjAwAA+py6ujrFx8crLS1N8+bNU2tr61X393q9am9v9xsArIVgAwAA+pTc3Fy9+OKL2rVrl5599lkdOHBAU6ZMkdfr7fYz5eXlio2N9Y2kpKQQVgwgELgVDQAA9Clz5szx/To9PV0ZGRlKTk5WTU2N8vPzu/xMaWmpSkpKfMvt7e2EG8BiCDYAAKBPc7lcSk5O1vHjx7vdx263y263h7AqAIHGrWgAAKBPO336tFpaWuRyucJdCoAgYsYGAABYyvnz53XixAnfclNTkw4dOqS4uDjFxcXJ7XZr9uzZcrlcam5u1rJlyzR8+HDNmjUrjFUDCDaCDQAgZEYurQnq8ZtXzgjq8REZDh48qMmTJ/uWr3w3pqCgQBUVFTpy5IjWr1+vs2fPyuVyafLkydq4caMcDke4SgYQAgQbAABgKdnZ2TLGdLt9+/btIawGQKTgOzYAAAAALI9gAwAAAMDyCDYAAAAALI9gAwAAAMDyCDYAAAAALI9gAwAAAMDyehxs9uzZo7y8PCUmJspms2nz5s1+240xcrvdSkxMVExMjLKzs3X06NFA1QsAAAAAnfQ42HR0dGjMmDFau3Ztl9tXrVql1atXa+3atTpw4ICcTqemTZumc+fO9bpYAAAAAOhKj1/QmZubq9zc3C63GWO0Zs0aLV++XPn5+ZKkqqoqJSQkqLq6WvPnz+9dtQAAAADQhYB+x6apqUkej0c5OTm+dXa7XVlZWdq3b1+Xn/F6vWpvb/cbAAAAANATPZ6xuRqPxyNJSkhI8FufkJCg9957r8vPlJeXa8WKFYEsIyRGLq0J+jmaV84I+jkQuYL9Z4w/XwAAoC8JylPRbDab37IxptO6K0pLS9XW1uYbLS0twSgJAAAAQB8W0Bkbp9Mp6fOZG5fL5Vvf2traaRbnCrvdLrvdHsgyAAAAAESZgM7YpKSkyOl0qra21rfu4sWLqq+vV2ZmZiBPBQAAAAA+PZ6xOX/+vE6cOOFbbmpq0qFDhxQXF6dbb71VixYtUllZmVJTU5WamqqysjINGjRIc+fODWjhAAAAAHBFj4PNwYMHNXnyZN9ySUmJJKmgoEDPP/+8lixZogsXLmjBggU6c+aMxo0bpx07dsjhcASuagAAAAD4gh4Hm+zsbBljut1us9nkdrvldrt7UxcAAAAAXLOgPBUNAAAAAEIpoE9FAwBcO95VhGDifWsAog0zNgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADIKT27NmjvLw8JSYmymazafPmzX7bjTFyu91KTExUTEyMsrOzdfTo0fAUCwAALINgAyCkOjo6NGbMGK1du7bL7atWrdLq1au1du1aHThwQE6nU9OmTdO5c+dCXCkAALAS3mMDIKRyc3OVm5vb5TZjjNasWaPly5crPz9fklRVVaWEhARVV1dr/vz5oSwVAABYCDM2ACJGU1OTPB6PcnJyfOvsdruysrK0b9++MFYGAAAiHTM2ACKGx+ORJCUkJPitT0hI0Hvvvdft57xer7xer2+5vb09OAUCAICIxYwNgIhjs9n8lo0xndZ9UXl5uWJjY30jKSkp2CUCAIAIw4wNgIjhdDolfT5z43K5fOtbW1s7zeJ8UWlpqUpKSnzL7e3thBsA6INGLq0J+jmaV84I+jkQHMzYAIgYKSkpcjqdqq2t9a27ePGi6uvrlZmZ2e3n7Ha7hgwZ4jcAAEB0YcYGQEidP39eJ06c8C03NTXp0KFDiouL06233qpFixaprKxMqampSk1NVVlZmQYNGqS5c+eGsWoAABDpCDYAQurgwYOaPHmyb/nKLWQFBQV6/vnntWTJEl24cEELFizQmTNnNG7cOO3YsUMOhyNcJQMAAAsg2AAIqezsbBljut1us9nkdrvldrtDVxQAALA8vmMDAAAsZc+ePcrLy1NiYqJsNps2b97st90YI7fbrcTERMXExCg7O1tHjx4NT7EAQoZgAwAALKWjo0NjxozR2rVru9y+atUqrV69WmvXrtWBAwfkdDo1bdo0nTt3LsSVAgglbkUDAACWkpubq9zc3C63GWO0Zs0aLV++XPn5+ZKkqqoqJSQkqLq6WvPnzw9lqQBCiBkbAADQZzQ1Ncnj8SgnJ8e3zm63KysrS/v27ev2c16vV+3t7X4DgLUwYwMAAPoMj8cjSZ1e6puQkKD33nuv28+Vl5drxYoVQa2tLwn2izJ5SSauBzM2AACgz7HZbH7LxphO676otLRUbW1tvtHS0hLsEgEEGDM2AACgz3A6nZI+n7lxuVy+9a2trZ1mcb7IbrfLbrcHvT4AwcOMDQAA6DNSUlLkdDpVW1vrW3fx4kXV19crMzMzjJUBCDZmbAAAgKWcP39eJ06c8C03NTXp0KFDiouL06233qpFixaprKxMqampSk1NVVlZmQYNGqS5c+eGsWoAwUawAQAAlnLw4EFNnjzZt1xSUiJJKigo0PPPP68lS5bowoULWrBggc6cOaNx48Zpx44dcjgc4SoZQAgQbAAAgKVkZ2fLGNPtdpvNJrfbLbfbHbqiAISd5YMNjxsEAAAAwMMDAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFhewION2+2WzWbzG06nM9CnAQAAAACf/sE46KhRo7Rz507fcr9+/YJxGgAAAACQFKRg079/f2ZpAAAAAIRMUL5jc/z4cSUmJiolJUWPPPKI3n333WCcBgAAAAAkBWHGZty4cVq/fr3S0tL08ccf6+mnn1ZmZqaOHj2qYcOGddrf6/XK6/X6ltvb2wNdEgB0a+TSmqCfo3nljKCfAwCAaBfwGZvc3FzNnj1bo0eP1tSpU1VT8/k/Gqqqqrrcv7y8XLGxsb6RlJQU6JIAAAAA9HFBf9zz4MGDNXr0aB0/frzL7aWlpWpra/ONlpaWYJcEAAAAoI8JysMDvsjr9ertt9/W/fff3+V2u90uu90e7DIAAAAA9GEBn7FZvHix6uvr1dTUpDfeeEMPPfSQ2tvbVVBQEOhTAQAAAICkIMzYfPDBB/rWt76lU6dO6ZZbbtH48ePV0NCg5OTkQJ8KAAAAACQFIdhs2LAh0IcEEEXcbrdWrFjhty4hIUEejydMFQEAACsI+ndsAKCnRo0apZ07d/qW+/XrF8ZqAACAFRBsAESc/v37y+l0hrsMAABgIUF/3DMA9NTx48eVmJiolJQUPfLII3r33Xevur/X61V7e7vfAAAA0YVgAyCijBs3TuvXr9f27dv1y1/+Uh6PR5mZmTp9+nS3n+FFvwAAgGADIKLk5uZq9uzZGj16tKZOnaqamhpJUlVVVbef4UW/AL7I7XbLZrP5DW5vBfo+vmMDIKINHjxYo0eP1vHjx7vdhxf9AvhrPIQEiD4EGwARzev16u2339b9998f7lIAWAgPIQGiD7eiAYgoixcvVn19vZqamvTGG2/ooYceUnt7uwoKCsJdGgAL4SEkQPRhxgZARPnggw/0rW99S6dOndItt9yi8ePHq6GhQcnJyeEuDYBFXHkISVpamj7++GM9/fTTyszM1NGjRzVs2LAuP1NeXt7p5cCRbuTSmqCfo3nljKCfAwgUgg2AiLJhw4ZwlwDA4nJzc32/Hj16tCZMmKCvfOUrqqqqUklJSZefKS0t9dvW3t7OExYBiyHYAACAPo2HkADRge/YAACAPu3KQ0hcLle4SwEQRAQbAADQp/AQEiA6cSsaAADoU3gICRCdCDYAAKBP4SEkQHTiVjQAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5/cNdAAAAgJWNXFoT1OM3r5wR1OMDfQUzNgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPKCFmyee+45paSkaODAgbr33nv12muvBetUAPogegiA3qKPANElKMFm48aNWrRokZYvX64333xT999/v3Jzc/X+++8H43QA+hh6CIDeoo8A0ScowWb16tX6h3/4B33ve9/TnXfeqTVr1igpKUkVFRXBOB2APoYeAqC36CNA9Okf6ANevHhRjY2NWrp0qd/6nJwc7du3r9P+Xq9XXq/Xt9zW1iZJam9vv6bzXfZ+0otqv1x3dQT7vOE8N9ccuvOG89zX8nfsyj7GmKDW8kU97SFS7/pINP435pr71rkj8Zq72oc+cv0i8b8x19x3zhvOcwe8h5gA+/DDD40k8/rrr/utf+aZZ0xaWlqn/Z966ikjicFgRPBoaWkJdKvoVk97iDH0EQbDCoM+wmAwejOupYcEfMbmCpvN5rdsjOm0TpJKS0tVUlLiW758+bL+/Oc/a9iwYV3ub0Xt7e1KSkpSS0uLhgwZEu5yQoJr7hvXbIzRuXPnlJiYGPJzX2sPkegjfRXX3DeumT4SOfrin68vE23X3Bevtyc9JODBZvjw4erXr588Ho/f+tbWViUkJHTa3263y263+627+eabA11WRBgyZEif+UN2rbhm64uNjQ3p+XraQyT6SF/HNVsffSSy9LU/X9ci2q65r13vtfaQgD884MYbb9S9996r2tpav/W1tbXKzMwM9OkA9DH0EAC9RR8BolNQbkUrKSnRt7/9bWVkZGjChAlat26d3n//fT3++OPBOB2APoYeAqC36CNA9AlKsJkzZ45Onz6tf/qnf9LJkyeVnp6urVu3Kjk5ORini3h2u11PPfVUpynuvoxrRm/QQzqLxj9fXDN6gz7SWTT++Yq2a4626/1rNmNC+PxFAAAAAAiCoLygEwAAAABCiWADAAAAwPIINgAAAAAsj2ADAAAAwPIINkFUXl6usWPHyuFwKD4+XjNnztSxY8fCXVZIlZeXy2azadGiReEuJag+/PBDPfrooxo2bJgGDRqkr371q2psbAx3WegDor2P0EOA3on2HiLRR6IJwSaI6uvrVVRUpIaGBtXW1urSpUvKyclRR0dHuEsLiQMHDmjdunW6++67w11KUJ05c0b33XefBgwYoFdffVVvvfWWnn322T77xmqEVjT3EXrIzeEuDX1ANPcQiT4SbX2Exz2H0J/+9CfFx8ervr5ekyZNCnc5QXX+/Hn97d/+rZ577jk9/fTT+upXv6o1a9aEu6ygWLp0qV5//XW99tpr4S4FUSBa+gg9BAiOaOkhEn0kGjFjE0JtbW2SpLi4uDBXEnxFRUWaMWOGpk6dGu5Sgm7Lli3KyMjQww8/rPj4eN1zzz365S9/Ge6y0EdFSx+hh9BDEBzR0kMk+kg09hGCTYgYY1RSUqKJEycqPT093OUE1YYNG9TY2Kjy8vJwlxIS7777rioqKpSamqrt27fr8ccf1w9/+EOtX78+3KWhj4mWPkIPoYcgOKKlh0j0kWjtI/3DXUC0KC4u1uHDh7V3795wlxJULS0t+tGPfqQdO3Zo4MCB4S4nJC5fvqyMjAyVlZVJku655x4dPXpUFRUVeuyxx8JcHfqSaOgj9BB6CIInGnqIRB+RorePMGMTAgsXLtSWLVu0e/dujRgxItzlBFVjY6NaW1t17733qn///urfv7/q6+v1L//yL+rfv78+++yzcJcYcC6XS3fddZffujvvvFPvv/9+mCpCXxQtfYQe8jl6CAItWnqIRB+5Ihr7CDM2QWSM0cKFC7Vp0ybV1dUpJSUl3CUF3QMPPKAjR474rfvOd76jO+64Q0888YT69esXpsqC57777uv06Mx33nlHycnJYaoIfUm09RF6yOfoIQiUaOshEn3kimjsIwSbICoqKlJ1dbVeeeUVORwOeTweSVJsbKxiYmLCXF1wOByOTvftDh48WMOGDeuz9/P++Mc/VmZmpsrKyvTNb35Tf/jDH7Ru3TqtW7cu3KWhD4i2PkIPoYcgsKKth0j0kajuIwZBI6nLUVlZGe7SQiorK8v86Ec/CncZQfXv//7vJj093djtdnPHHXeYdevWhbsk9BH0EXoI0Bv0kM/RR6ID77EBAAAAYHk8PAAAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQYAAACA5RFsAAAAAFgewQZhMXLkSH3961/v0Wc+/vhjDRs2TDabTf/2b/8WpMoAWMG19pCRI0fKZrN1Go8//ngIqgQQyXryb5FTp07pRz/6kUaOHCm73a6EhATl5ubqz3/+c5CrRE/0D3cBwLUqKirSwIEDw10GAIu577779D/+x//wW5eQkBCmagBYzUcffaT7779f/fv315NPPqnU1FSdOnVKu3fv1sWLF8NdHr6AYIOQ+uSTTzRo0KAef+63v/2ttm/frp///OcqKCgIQmUArOB6esjNN9+s8ePHB6kiAFbT0z6yYMECeb1eHTx4UEOHDvWtz8/PD0Z56AVuRYtiR48elc1m029+8xvfusbGRtlsNo0aNcpv32984xu69957JUmXL1/WqlWrdMcdd8hutys+Pl6PPfaYPvjgA7/PZGdnKz09XXv27FFmZqYGDRqk7373u93W89xzz6l///566qmn/Nb/+c9/VlFRkZ555hndeuutvb1sAAFilR4CIHJFeh9pbm7Wli1bNG/ePL9Qg8hEsIlio0aNksvl0s6dO33rdu7cqZiYGL311lv66KOPJEmXLl1SfX29pk6dKkn6wQ9+oCeeeELTpk3Tli1b9M///M/atm2bMjMzderUKb9znDx5Uo8++qjmzp2rrVu3asGCBZ3qMMZo8eLFWrRokf7X//pfWrFihd/2H/7wh0pJSVFxcXGgfwsA9IJVesiePXvkcDg0YMAA3XXXXXr22Wf12WefBfq3A8B1iPQ+8tprr8kYo8TERH3rW9/STTfdpIEDByo7O1v79+8P1m8LrpdBVHv00UfN3/zN3/iWp06daubNm2eGDh1qqqqqjDHGvP7660aS2bFjh3n77beNJLNgwQK/47zxxhtGklm2bJlvXVZWlpFkfv/733c6b3JyspkxY4b55JNPzOzZs01sbKzZuXNnp/1+97vfmQEDBpgjR44YY4zZvXu3kWR+85vfBOT6AfROpPeQBQsWmF//+temvr7ebN682fz93/+9kWQeffTRQP0WAOilSO4j5eXlRpIZMmSIefDBB822bdvMb3/7W3P33XebgQMHmv/8z/8M5G8FeokZmyj3wAMP6N1331VTU5P+8pe/aO/evZo+fbomT56s2tpaSZ//5MRut2vixInavXu3JKmwsNDvOF/72td055136ve//73f+qFDh2rKlCldnvv06dOaMmWK/vCHP2jv3r164IEH/La3tbVp/vz5euKJJ5Senh6gKwYQSJHcQyTp5z//ub7zne9o0qRJevDBB/XCCy+ouLhYL7zwgt58880A/A4A6K1I7iOXL1+WJI0YMUK//e1v9V/+y39Rfn6+tm3bphtuuEGrVq0KxG8BAoRgE+WuTOnu3LlTe/fu1aeffqopU6Zo6tSpvsawc+dO3XfffYqJidHp06clSS6Xq9OxEhMTfduv6Gq/K9555x298cYbys3N7TK4LF++XAMGDFBxcbHOnj2rs2fP6vz585I+/+Lf2bNnZYy5vgsHEBCR3EO68+ijj0qSGhoarvkzAIInkvvIsGHDfDX269fP75hjxozRf/zHf/TwahFMBJsoN2LECKWlpWnnzp2qra1VRkaGbr75Zj3wwAM6efKk3njjDTU0NPiazpW/4CdPnux0rI8++kjDhw/3W2ez2bo994QJE1RZWalf/epXmj9/vu+nIlf88Y9/VHNzs5xOp4YOHaqhQ4cqLy9PklRQUKChQ4eqra2tV9cPoHciuYd058oPRG64gf8FApEgkvvI3Xff3e1njTH0kQjD456hqVOn6v/8n/+jpKQkzZgxQ5KUlpamW2+9VT/5yU/06aef+prJlancF154QWPHjvUd48CBA3r77be1fPnyHp27oKBAgwcP1ty5c9XR0aGqqirfT0TWrFmjs2fP+u1/6NAh/fjHP5bb7VZWVpZuuumm671sAAESqT2kO+vXr5ckHgENRJBI7SPjxo3TiBEjtGPHDn322We+9R999JH+8z//U3Pnzu31tSOAwvwdH0SA3/72t0aSkWTq6+t967/zne8YSWbo0KHms88+863//ve/b2w2m1m0aJHZvn27+cUvfmHi4+NNUlKSOXXqlG+/rKwsM2rUqC7PeeULe1fU1NSYmJgYk5+fb7xeb7e18vAAIPJEag958cUXzezZs82vf/1r8/vf/9789re/NY888oiRZAoLCwP92wCgFyK1jxhjzG9+8xtjs9nMjBkzzO9+9zuzceNGk56ebmJjY82JEycC+duAXiLYwJw5c8bccMMNZvDgwebixYu+9S+++KKRZPLz8/32/+yzz8xPf/pTk5aWZgYMGGCGDx9uHn30UdPS0uK3X0+aiTGfh5abbrrJTJ8+3XzyySddfo5gA0SeSO0h+/fvNw888IBxOp1mwIABZtCgQWbs2LHmueee8/sHEoDwi9Q+csXmzZvN2LFjzcCBA01sbKz5xje+YY4ePdrby0aA2Yzh29cAAAAArI1vPAEAAACwPIINAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwPIINgJAqLy/X2LFj5XA4FB8fr5kzZ+rYsWN++xQWFspms/kNXqYIAACupn+4C/hrly9f1kcffSSHwyGbzRbucoCoZozRuXPnlJiYqBtuCMzPQerr61VUVKSxY8fq0qVLWr58uXJycvTWW29p8ODBvv2mT5+uyspK3/KNN954zeegjwCRIxh9JBToI0Bk6EkPibhg89FHHykpKSncZQD4gpaWFo0YMSIgx9q2bZvfcmVlpeLj49XY2KhJkyb51tvtdjmdzus6B30EiDyB7COhQB8BIsu19JCICzYOh0PS58UPGTIkzNUA0a29vV1JSUm+v5fB0NbWJkmKi4vzW19XV6f4+HjdfPPNysrK0jPPPKP4+PhrOiZ9BIgcoegjwUAfASJDT3pIxAWbK9O9Q4YMoZEAESJYt2EYY1RSUqKJEycqPT3dtz43N1cPP/ywkpOT1dTUpCeffFJTpkxRY2Oj7HZ7p+N4vV55vV7f8rlz5yTRR4BIYrXbufj3CBBZrqWHRFywARA9iouLdfjwYe3du9dv/Zw5c3y/Tk9PV0ZGhpKTk1VTU6P8/PxOxykvL9eKFSuCXi8AAIhc1vkWH4A+ZeHChdqyZYt27979pffMulwuJScn6/jx411uLy0tVVtbm2+0tLQEo2QAABDBmLEBEFLGGC1cuFCbNm1SXV2dUlJSvvQzp0+fVktLi1wuV5fb7XZ7l7eoAQCA6MGMDYCQKioq0gsvvKDq6mo5HA55PB55PB5duHBBknT+/HktXrxY+/fvV3Nzs+rq6pSXl6fhw4dr1qxZYa4eAABEKmZsAIRURUWFJCk7O9tvfWVlpQoLC9WvXz8dOXJE69ev19mzZ+VyuTR58mRt3LjRck9VAgAAoUOwARBSxpirbo+JidH27dtDVA0AAOgruBUNAAAAgOURbAAAAABYHsEGAAAAgOURbAAAAABYHsEGAAAAgOXxVDTgKkYurQn6OZpXzgj6ORCZgv3niz9bAGB9/Fvk2jFjAwAAAMDyCDYAAAAALK9HwaaiokJ33323hgwZoiFDhmjChAl69dVXfdsLCwtls9n8xvjx4wNeNAAAAAB8UY++YzNixAitXLlSt912mySpqqpKDz74oN58802NGjVKkjR9+nRVVlb6PnPjjTcGsFwAAAAA6KxHMzZ5eXn6u7/7O6WlpSktLU3PPPOMbrrpJjU0NPj2sdvtcjqdvhEXFxfwogEAQHQqLy/X2LFj5XA4FB8fr5kzZ+rYsWN++3AHCRCdrvs7Np999pk2bNigjo4OTZgwwbe+rq5O8fHxSktL07x589Ta2nrV43i9XrW3t/sNAACArtTX16uoqEgNDQ2qra3VpUuXlJOTo46ODr/9pk+frpMnT/rG1q1bw1QxgFDp8eOejxw5ogkTJugvf/mLbrrpJm3atEl33XWXJCk3N1cPP/ywkpOT1dTUpCeffFJTpkxRY2Oj7HZ7l8crLy/XihUrencVAAAgKmzbts1vubKyUvHx8WpsbNSkSZN866/cQQIgevR4xub222/XoUOH1NDQoB/84AcqKCjQW2+9JUmaM2eOZsyYofT0dOXl5enVV1/VO++8o5qa7p+/XVpaqra2Nt9oaWm5/qsBAABRpa2tTZI63fre0ztIAFhfj2dsbrzxRt/DAzIyMnTgwAH97Gc/0y9+8YtO+7pcLiUnJ+v48ePdHs9ut3c7mwMAANAdY4xKSko0ceJEpaen+9Zfzx0kXq9XXq/Xt8yt8YD19DjY/DVjjF8j+KLTp0+rpaVFLpert6cBAADwU1xcrMOHD2vv3r1+6+fMmeP7dXp6ujIyMpScnKyamhrl5+d3eSxujQesr0e3oi1btkyvvfaampubdeTIES1fvlx1dXX6+7//e50/f16LFy/W/v371dzcrLq6OuXl5Wn48OGaNWtWsOoHAABRaOHChdqyZYt2796tESNGXHXfa7mDhFvjAevr0YzNxx9/rG9/+9s6efKkYmNjdffdd2vbtm2aNm2aLly4oCNHjmj9+vU6e/asXC6XJk+erI0bN8rhcASrfgAAEEWMMVq4cKE2bdqkuro6paSkfOlnruUOEm6NB6yvR8HmV7/6VbfbYmJitH379l4XBAAA0J2ioiJVV1frlVdekcPhkMfjkSTFxsYqJiZG58+fl9vt1uzZs+VyudTc3Kxly5ZxBwkQBXr9HRsAAIBQqaiokCRlZ2f7ra+srFRhYaH69evHHSRAlCLYAAAAyzDGXHU7d5AA0avH77EBAAAAgEhDsAEAAABgeQQbAAAAAJZHsAEAAABgeQQbAAAAAJZHsAEAAABgeQQbAAAAAJZHsAEAAABgeQQbAAAAAJZHsAEAAABgeQQbAAAAAJZHsAEAAABgeQQbAAAAAJZHsAEAAABgeQQbAAAAAJZHsAEAAABgeQQbAAAAAJZHsAEAAABgeQQbAAAAAJZHsAEAAABgeQQbAAAAAJbXP9wFANdi5NKaoB6/eeWMoB4fAAAAwcWMDQAAAADLI9gAAAAAsLweBZuKigrdfffdGjJkiIYMGaIJEybo1Vdf9W03xsjtdisxMVExMTHKzs7W0aNHA140AOsqLy/X2LFj5XA4FB8fr5kzZ+rYsWN++9BLAABAT/XoOzYjRozQypUrddttt0mSqqqq9OCDD+rNN9/UqFGjtGrVKq1evVrPP/+80tLS9PTTT2vatGk6duyYHA5HUC4AgLXU19erqKhIY8eO1aVLl7R8+XLl5OTorbfe0uDBgyWJXgIAiDh83zfy9SjY5OXl+S0/88wzqqioUENDg+666y6tWbNGy5cvV35+vqTPg09CQoKqq6s1f/78wFUNwLK2bdvmt1xZWan4+Hg1NjZq0qRJMsbQSwAAQI9d93dsPvvsM23YsEEdHR2aMGGCmpqa5PF4lJOT49vHbrcrKytL+/bt6/Y4Xq9X7e3tfgNA9Ghra5MkxcXFSdJ19RL6CAAA6HGwOXLkiG666SbZ7XY9/vjj2rRpk+666y55PB5JUkJCgt/+CQkJvm1dKS8vV2xsrG8kJSX1tCQAFmWMUUlJiSZOnKj09HRJuq5eQh8BAAA9Dja33367Dh06pIaGBv3gBz9QQUGB3nrrLd92m83mt78xptO6LyotLVVbW5tvtLS09LQkABZVXFysw4cP66WXXuq0rSe9hD4CAAB6/ILOG2+80ffwgIyMDB04cEA/+9nP9MQTT0j6/KetLpfLt39ra2unn7x+kd1ul91u72kZACxu4cKF2rJli/bs2aMRI0b41judTkk96yX0EQAA0Ov32Bhj5PV6lZKSIqfTqdraWt+2ixcvqr6+XpmZmb09DYA+whij4uJivfzyy9q1a5dSUlL8ttNLAADA9ejRjM2yZcuUm5urpKQknTt3Ths2bFBdXZ22bdsmm82mRYsWqaysTKmpqUpNTVVZWZkGDRqkuXPnBqt+ABZTVFSk6upqvfLKK3I4HL7vzcTGxiomJoZeAgAArkuPgs3HH3+sb3/72zp58qRiY2N19913a9u2bZo2bZokacmSJbpw4YIWLFigM2fOaNy4cdqxYwfvnQDgU1FRIUnKzs72W19ZWanCwkJJ9BIAANBzPQo2v/rVr6663Wazye12y+1296YmAH2YMeZL96GXAACAnur1d2wAAAAAINwINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAAwPIINgAAAAAsj2ADAAAso7y8XGPHjpXD4VB8fLxmzpypY8eO+e1jjJHb7VZiYqJiYmKUnZ2to0ePhqliAKFCsAEAAJZRX1+voqIiNTQ0qLa2VpcuXVJOTo46Ojp8+6xatUqrV6/W2rVrdeDAATmdTk2bNk3nzp0LY+UAgq1HL+gEAAAIp23btvktV1ZWKj4+Xo2NjZo0aZKMMVqzZo2WL1+u/Px8SVJVVZUSEhJUXV2t+fPnh6NsACHAjA0AALCstrY2SVJcXJwkqampSR6PRzk5Ob597Ha7srKytG/fvm6P4/V61d7e7jcAWAszNgAAwJKMMSopKdHEiROVnp4uSfJ4PJKkhIQEv30TEhL03nvvdXus8vJyrVixInjFAhY0cmlNUI/fvHJGQI/HjA0AALCk4uJiHT58WC+99FKnbTabzW/ZGNNp3ReVlpaqra3NN1paWgJeL4DgYsYGAABYzsKFC7Vlyxbt2bNHI0aM8K13Op2SPp+5cblcvvWtra2dZnG+yG63y263B69gAEHHjA0AALAMY4yKi4v18ssva9euXUpJSfHbnpKSIqfTqdraWt+6ixcvqr6+XpmZmaEuF0AIMWMDAAAso6ioSNXV1XrllVfkcDh836mJjY1VTEyMbDabFi1apLKyMqWmpio1NVVlZWUaNGiQ5s6dG+bqAQQTwQYAAFhGRUWFJCk7O9tvfWVlpQoLCyVJS5Ys0YULF7RgwQKdOXNG48aN044dO+RwOEJcLYBQItgAAADLMMZ86T42m01ut1tutzv4BQGIGHzHBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDl9SjYlJeXa+zYsXI4HIqPj9fMmTN17Ngxv30KCwtls9n8xvjx4wNaNAAAAAB8UY+CTX19vYqKitTQ0KDa2lpdunRJOTk56ujo8Ntv+vTpOnnypG9s3bo1oEUDAAAAwBf178nO27Zt81uurKxUfHy8GhsbNWnSJN96u90up9MZmAoBAAAA4Ev06js2bW1tkqS4uDi/9XV1dYqPj1daWprmzZun1tbWbo/h9XrV3t7uNwAAAACgJ6472BhjVFJSookTJyo9Pd23Pjc3Vy+++KJ27dqlZ599VgcOHNCUKVPk9Xq7PE55ebliY2N9Iykp6XpLAgAAABClenQr2hcVFxfr8OHD2rt3r9/6OXPm+H6dnp6ujIwMJScnq6amRvn5+Z2OU1paqpKSEt9ye3s74QYAAABAj1xXsFm4cKG2bNmiPXv2aMSIEVfd1+VyKTk5WcePH+9yu91ul91uv54yAAAAAEBSD4ONMUYLFy7Upk2bVFdXp5SUlC/9zOnTp9XS0iKXy3XdRQIAAADA1fToOzZFRUV64YUXVF1dLYfDIY/HI4/HowsXLkiSzp8/r8WLF2v//v1qbm5WXV2d8vLyNHz4cM2aNSsoFwAAAAAAPZqxqaiokCRlZ2f7ra+srFRhYaH69eunI0eOaP369Tp79qxcLpcmT56sjRs3yuFwBKxoAAAAAPiiHt+KdjUxMTHavn17rwoCAAAAgJ7q1XtsAAAAACASXPfjngEAsIqRS2uCfo7mlTOCfg4AQPeYsQEAAABgeQQbAAAAAJZHsAEAAABgeQQbAAAAAJZHsAEAAABgeQQbACG1Z88e5eXlKTExUTabTZs3b/bbXlhYKJvN5jfGjx8fnmIBAIBlEGwAhFRHR4fGjBmjtWvXdrvP9OnTdfLkSd/YunVrCCsEAABWxHtsAIRUbm6ucnNzr7qP3W6X0+kMUUUAAKAvYMYGQMSpq6tTfHy80tLSNG/ePLW2toa7JAAAEOGYsQEQUXJzc/Xwww8rOTlZTU1NevLJJzVlyhQ1NjbKbrd3+Rmv1yuv1+tbbm9vD1W5AAAgQhBsAESUOXPm+H6dnp6ujIwMJScnq6amRvn5+V1+pry8XCtWrAhViZY3cmlN0M/RvHJG0M9hFcH+/eb3GgA+x61oACKay+VScnKyjh8/3u0+paWlamtr842WlpYQVggAACIBMzYAItrp06fV0tIil8vV7T52u73b29QAAEB0INgACKnz58/rxIkTvuWmpiYdOnRIcXFxiouLk9vt1uzZs+VyudTc3Kxly5Zp+PDhmjVrVhirBgAAkY5gAyCkDh48qMmTJ/uWS0pKJEkFBQWqqKjQkSNHtH79ep09e1Yul0uTJ0/Wxo0b5XA4wlUyAACwAIINgJDKzs6WMabb7du3bw9hNQAAoK/g4QEAAAAALI9gAwAAAMDyCDYAAMBS9uzZo7y8PCUmJspms2nz5s1+2wsLC2Wz2fzG+PHjw1MsgJAh2AAAAEvp6OjQmDFjtHbt2m73mT59uk6ePOkbW7duDWGFAMKBhwcAAABLyc3NVW5u7lX3sdvtcjqdIaoIQCRgxgYAAPQ5dXV1io+PV1pamubNm6fW1tar7u/1etXe3u43AFgLwQYAAPQpubm5evHFF7Vr1y49++yzOnDggKZMmSKv19vtZ8rLyxUbG+sbSUlJIawYQCBwKxoAAOhT5syZ4/t1enq6MjIylJycrJqaGuXn53f5mdLSUt8LgyWpvb2dcANYTI9mbMrLyzV27Fg5HA7Fx8dr5syZOnbsmN8+xhi53W4lJiYqJiZG2dnZOnr0aECLBgAAuFYul0vJyck6fvx4t/vY7XYNGTLEbwCwlh4Fm/r6ehUVFamhoUG1tbW6dOmScnJy1NHR4dtn1apVWr16tdauXasDBw7I6XRq2rRpOnfuXMCLBwAA+DKnT59WS0uLXC5XuEsBEEQ9uhVt27ZtfsuVlZWKj49XY2OjJk2aJGOM1qxZo+XLl/umequqqpSQkKDq6mrNnz8/cJUDAICodP78eZ04ccK33NTUpEOHDikuLk5xcXFyu92aPXu2XC6XmpubtWzZMg0fPlyzZs0KY9UAgq1XDw9oa2uTJMXFxUn6vLF4PB7l5OT49rHb7crKytK+ffu6PAZPIQEAAD1x8OBB3XPPPbrnnnskSSUlJbrnnnv0k5/8RP369dORI0f04IMPKi0tTQUFBUpLS9P+/fvlcDjCXDmAYLruhwcYY1RSUqKJEycqPT1dkuTxeCRJCQkJfvsmJCTovffe6/I45eXlWrFixfWWAQAAokx2draMMd1u3759ewirARAprnvGpri4WIcPH9ZLL73UaZvNZvNbNsZ0WndFaWmp2trafKOlpeV6SwIAAAAQpa5rxmbhwoXasmWL9uzZoxEjRvjWX3nDr8fj8fuCXmtra6dZnCvsdrvsdvv1lAEAAAAAkno4Y2OMUXFxsV5++WXt2rVLKSkpfttTUlLkdDpVW1vrW3fx4kXV19crMzMzMBUDAAAAwF/p0YxNUVGRqqur9corr8jhcPi+UxMbG6uYmBjZbDYtWrRIZWVlSk1NVWpqqsrKyjRo0CDNnTs3KBcAAAAAAD0KNhUVFZI+/9LeF1VWVqqwsFCStGTJEl24cEELFizQmTNnNG7cOO3YsYMnkQAAAAAImh4Fm6s9geQKm80mt9stt9t9vTUBAAAAQI/06j02AAAAABAJCDYAAAAALI9gAwAAAMDyCDYAAAAALI9gAwAAAMDyCDYAAAAALI9gAwAAAMDyCDYAAAAALK9HL+gEgL5m5NKaoJ+jeeWMoJ8DAIBox4wNAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwPIINAAAAAMsj2AAAAACwvP7hLgAAED1GLq0J6vGbV84I6vEBAJGLGRsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlkewAQAAAGB5PQ42e/bsUV5enhITE2Wz2bR582a/7YWFhbLZbH5j/PjxgaoXgMV9WQ8xxsjtdisxMVExMTHKzs7W0aNHw1MsAACwjB4Hm46ODo0ZM0Zr167tdp/p06fr5MmTvrF169ZeFQmg7/iyHrJq1SqtXr1aa9eu1YEDB+R0OjVt2jSdO3cuxJUCAAAr6fELOnNzc5Wbm3vVfex2u5xO53UXBaDvuloPMcZozZo1Wr58ufLz8yVJVVVVSkhIUHV1tebPnx/KUgEgogX7hbcSL72FtQTlOzZ1dXWKj49XWlqa5s2bp9bW1m739Xq9am9v9xsAolNTU5M8Ho9ycnJ86+x2u7KysrRv375uP0cfAQAAAQ82ubm5evHFF7Vr1y49++yzOnDggKZMmSKv19vl/uXl5YqNjfWNpKSkQJcEwCI8Ho8kKSEhwW99QkKCb1tX6CMAACDgwWbOnDmaMWOG0tPTlZeXp1dffVXvvPOOamq6ni4tLS1VW1ubb7S0tAS6JAAWY7PZ/JaNMZ3WfRF9BAAA9Pg7Nj3lcrmUnJys48ePd7ndbrfLbrcHuwwAFnDlu3kej0cul8u3vrW1tdMszhfRRwAAQNDfY3P69Gm1tLT4/SMFALqSkpIip9Op2tpa37qLFy+qvr5emZmZYawMAABEuh4Hm/Pnz+vQoUM6dOiQpM+/7Hvo0CG9//77On/+vBYvXqz9+/erublZdXV1ysvL0/DhwzVr1qxA1w7Agq7WQ2w2mxYtWqSysjJt2rRJf/zjH1VYWKhBgwZp7ty54S0cQMTgfVgAutLjYHPw4EHdc889uueeeyRJJSUluueee/STn/xE/fr105EjR/Tggw8qLS1NBQUFSktL0/79++VwOAJePADruVoPkaQlS5Zo0aJFWrBggTIyMvThhx9qx44d9BAAPrwPC0BXevwdm+zsbBljut2+ffv2XhUEoG/7sh5is9nkdrvldrtDVxQAS+F9WAC6EvTv2AAAAITK9b4PC4D1Bf2paAAAAKFytfdhvffee91+zuv1+r1zjxf9AtbDjA0AAOhzevo+LF70C1gfwQYAAPQZX3wf1hd92fuweNEvYH0EGwAA0Gdc7/uw7Ha7hgwZ4jcAWAvfsQEAAJZy/vx5nThxwrd85X1YcXFxuvXWW33vw0pNTVVqaqrKysp4HxYQBQg2AADAUg4ePKjJkyf7lktKSiRJBQUFev7557VkyRJduHBBCxYs0JkzZzRu3DjehwVEAYINAACwFN6HBaArfMcGAAAAgOURbAAAAABYHsEGAAAAgOURbAAAAABYHsEGAAAAgOURbAAAAABYHsEGAAAAgOXxHhsgQo1cWhPU4zevnBHU4wMAAIQSMzYAAAAALI9gAwAAAMDyCDYAAAAALI9gAwAAAMDyCDYAAAAALI9gAwAAAMDyeNwzAAAAeoRXEiASMWMDAAAAwPIINgAAAAAsj2ADAAAAwPJ6HGz27NmjvLw8JSYmymazafPmzX7bjTFyu91KTExUTEyMsrOzdfTo0UDVCwAAAACd9PjhAR0dHRozZoy+853vaPbs2Z22r1q1SqtXr9bzzz+vtLQ0Pf3005o2bZqOHTsmh8MRkKIBAMDVBfvL3RJf8AYQWXocbHJzc5Wbm9vlNmOM1qxZo+XLlys/P1+SVFVVpYSEBFVXV2v+/Pm9qxYAAAAAuhDQ79g0NTXJ4/EoJyfHt85utysrK0v79u3r8jNer1ft7e1+AwAAAAB6IqDBxuPxSJISEhL81ickJPi2/bXy8nLFxsb6RlJSUiBLAgAAABAFgvJUNJvN5rdsjOm07orS0lK1tbX5RktLSzBKAgAAANCH9fg7NlfjdDolfT5z43K5fOtbW1s7zeJcYbfbZbfbA1kGAAAA+iAeioGrCeiMTUpKipxOp2pra33rLl68qPr6emVmZgbyVAAAAADg0+MZm/Pnz+vEiRO+5aamJh06dEhxcXG69dZbtWjRIpWVlSk1NVWpqakqKyvToEGDNHfu3IAWDgAAAABX9DjYHDx4UJMnT/Ytl5SUSJIKCgr0/PPPa8mSJbpw4YIWLFigM2fOaNy4cdqxYwfvsAEAAAAQND0ONtnZ2TLGdLvdZrPJ7XbL7Xb3pi4AAAAAuGZBeSoaAAAAAIRSQJ+KFk14KgcAAAAQOZixAQAAAGB5BBsAAAAAlkewAQAAAGB5BBsAAAAAlsfDAwAAAHoh2A8U4mFCwLVhxgZARHG73bLZbH7D6XSGuywAABDhmLEBEHFGjRqlnTt3+pb79esXxmoAAIAVEGwARJz+/fszSwMAAHqEW9EARJzjx48rMTFRKSkpeuSRR/Tuu++GuyQAABDhmLEBEFHGjRun9evXKy0tTR9//LGefvppZWZm6ujRoxo2bFiXn/F6vfJ6vb7l9vb2UJULAAAiBDM2ACJKbm6uZs+erdGjR2vq1Kmqqfn8aUNVVVXdfqa8vFyxsbG+kZSUFKpyAUQgHkICRCeCDYCINnjwYI0ePVrHjx/vdp/S0lK1tbX5RktLSwgrBBCJRo0apZMnT/rGkSNHwl0SgCDjVjQAEc3r9ertt9/W/fff3+0+drtddrs9hFUBiHQ8hASIPszYAIgoixcvVn19vZqamvTGG2/ooYceUnt7uwoKCsJdGgAL6elDSLxer9rb2/0GAGsh2ACIKB988IG+9a1v6fbbb1d+fr5uvPFGNTQ0KDk5OdylAbCIKw8h2b59u375y1/K4/EoMzNTp0+f7vYzfFcPsD5uRQMQUTZs2BDuEgBYXG5uru/Xo0eP1oQJE/SVr3xFVVVVKikp6fIzpaWlftva29sJN4DFEGwAAECfdi0PIeG7eoD1cSsaAADo0648hMTlcoW7FABBRLABAAB9Cg8hAaITt6IBAIA+5cpDSE6dOqVbbrlF48eP5yEkQBQg2AAAgD6Fh5AA0Ylgg2s2cmlN0M/RvHJG0M8BAACAvofv2AAAAACwPIINAAAAAMsLeLBxu92y2Wx+w+l0Bvo0AAAAAOATlO/YjBo1Sjt37vQt9+vXLxinAQAAAABJQQo2/fv3Z5YGAAAAQMgE5Ts2x48fV2JiolJSUvTII4/o3Xff7XZfr9er9vZ2vwEAAAAAPRHwGZtx48Zp/fr1SktL08cff6ynn35amZmZOnr0qIYNG9Zp//Lycq1YsSLQZfRpwX7sMo9cBgAAgNUEfMYmNzdXs2fP1ujRozV16lTV1Hz+j/Cqqqou9y8tLVVbW5tvtLS0BLokAAAAAH1c0F/QOXjwYI0ePVrHjx/vcrvdbpfdbg92GQAAAAD6sKC/x8br9ertt9+Wy+UK9qkAAAAARKmAB5vFixervr5eTU1NeuONN/TQQw+pvb1dBQUFgT4VAAAAAEgKwq1oH3zwgb71rW/p1KlTuuWWWzR+/Hg1NDQoOTk50KcCAAAAAElBCDYbNmwI9CEBAAAA4KqC/h0bAAAAAAg2gg0AAAAAyyPYAAAAALA8gg0AAAAAyyPYAAAAALA8gg0AAAAAyyPYAAAAALA8gg0AAAAAyyPYAAAAALA8gg0AAAAAyyPYAAAAALA8gg0AAAAAyyPYAAAAALA8gg0AAAAAyyPYAAAAALA8gg0AAAAAyyPYAAAAALA8gg0AAAAAyyPYAAAAALA8gg0AAAAAyyPYAAAAALA8gg0AAAAAyyPYAAAAALC8/uEuoLdGLq0J6vGbV84I6vEBAAAA9B4zNgAAAAAsj2ADAAAAwPKCFmyee+45paSkaODAgbr33nv12muvBetUAPogegiA3qKPANElKMFm48aNWrRokZYvX64333xT999/v3Jzc/X+++8H43QA+hh6CIDeoo8A0ScowWb16tX6h3/4B33ve9/TnXfeqTVr1igpKUkVFRXBOB2APoYeAqC36CNA9An4U9EuXryoxsZGLV261G99Tk6O9u3b12l/r9crr9frW25ra5Mktbe3X9P5Lns/6UW1X667OoJ93nCem2sO3XnDee5r+Tt2ZR9jTFBr+aKe9hCpd30kGv8bc81969yReM1d7UMfuX6R+N+Ya+475w3nuQPeQ0yAffjhh0aSef311/3WP/PMMyYtLa3T/k899ZSRxGAwIni0tLQEulV0q6c9xBj6CINhhUEfYTAYvRnX0kOC9h4bm83mt2yM6bROkkpLS1VSUuJbvnz5sv785z9r2LBhXe5vRe3t7UpKSlJLS4uGDBkS7nJCgmvuG9dsjNG5c+eUmJgY8nNfaw+R6CN9FdfcN66ZPhI5+uKfry8TbdfcF6+3Jz0k4MFm+PDh6tevnzwej9/61tZWJSQkdNrfbrfLbrf7rbv55psDXVZEGDJkSJ/5Q3atuGbri42NDen5etpDJPpIX8c1Wx99JLL0tT9f1yLarrmvXe+19pCAPzzgxhtv1L333qva2lq/9bW1tcrMzAz06QD0MfQQAL1FHwGiU1BuRSspKdG3v/1tZWRkaMKECVq3bp3ef/99Pf7448E4HYA+hh4CoLfoI0D0CUqwmTNnjk6fPq1/+qd/0smTJ5Wenq6tW7cqOTk5GKeLeHa7XU899VSnKe6+jGtGb9BDOovGP19cM3qDPtJZNP75irZrjrbr/Ws2Y0L4/EUAAAAACIKgvKATAAAAAEKJYAMAAADA8gg2AAAAACyPYAMAAADA8gg2QVReXq6xY8fK4XAoPj5eM2fO1LFjx8JdVkiVl5fLZrNp0aJF4S4lqD788EM9+uijGjZsmAYNGqSvfvWramxsDHdZ6AOivY/QQ4DeifYeItFHognBJojq6+tVVFSkhoYG1dbW6tKlS8rJyVFHR0e4SwuJAwcOaN26dbr77rvDXUpQnTlzRvfdd58GDBigV199VW+99ZaeffbZPvvGaoRWNPcResjN4S4NfUA09xCJPhJtfYTHPYfQn/70J8XHx6u+vl6TJk0KdzlBdf78ef3t3/6tnnvuOT399NP66le/qjVr1oS7rKBYunSpXn/9db322mvhLgVRIFr6CD0ECI5o6SESfSQaMWMTQm1tbZKkuLi4MFcSfEVFRZoxY4amTp0a7lKCbsuWLcrIyNDDDz+s+Ph43XPPPfrlL38Z7rLQR0VLH6GH0EMQHNHSQyT6SDT2EYJNiBhjVFJSookTJyo9PT3c5QTVhg0b1NjYqPLy8nCXEhLvvvuuKioqlJqaqu3bt+vxxx/XD3/4Q61fvz7cpaGPiZY+Qg+hhyA4oqWHSPSRaO0j/cNdQLQoLi7W4cOHtXfv3nCXElQtLS360Y9+pB07dmjgwIHhLickLl++rIyMDJWVlUmS7rnnHh09elQVFRV67LHHwlwd+pJo6CP0EHoIgicaeohEH5Git48wYxMCCxcu1JYtW7R7926NGDEi3OUEVWNjo1pbW3Xvvfeqf//+6t+/v+rr6/Uv//Iv6t+/vz777LNwlxhwLpdLd911l9+6O++8U++//36YKkJfFC19hB7yOXoIAi1aeohEH7kiGvsIMzZBZIzRwoULtWnTJtXV1SklJSXcJQXdAw88oCNHjvit+853vqM77rhDTzzxhPr16xemyoLnvvvu6/TozHfeeUfJyclhqgh9SbT1EXrI5+ghCJRo6yESfeSKaOwjBJsgKioqUnV1tV555RU5HA55PB5JUmxsrGJiYsJcXXA4HI5O9+0OHjxYw4YN67P38/74xz9WZmamysrK9M1vflN/+MMftG7dOq1bty7cpaEPiLY+Qg+hhyCwoq2HSPSRqO4jBkEjqctRWVkZ7tJCKisry/zoRz8KdxlB9e///u8mPT3d2O12c8cdd5h169aFuyT0EfQRegjQG/SQz9FHogPvsQEAAABgeTw8AAAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWB7BBgAAAIDlEWwAAAAAWN7/B1dttt1bV2NKAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 1000x800 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 일, 프로젝트 업무량 그래프 (work1~6)\n",
    "\n",
    "# 그래프를 2x3로 나누기 위한 subplot 설정\n",
    "fig, axs = plt.subplots(2, 3, figsize=(10, 8))\n",
    "\n",
    "work1_freq = df['work1'].value_counts().sort_index()\n",
    "axs[0,0].bar(work1_freq.index, work1_freq.values)\n",
    "axs[0,0].set_title(\"work1\")\n",
    "\n",
    "work2_freq = df['work2'].value_counts().sort_index()\n",
    "axs[0,1].bar(work2_freq.index, work2_freq.values)\n",
    "axs[0,1].set_title(\"work2\")\n",
    "\n",
    "work3_freq = df['work3'].value_counts().sort_index()\n",
    "axs[0,2].bar(work3_freq.index, work3_freq.values)\n",
    "axs[0,2].set_title(\"work3\")\n",
    "\n",
    "work4_freq = df['work4'].value_counts().sort_index()\n",
    "axs[1,0].bar(work4_freq.index, work4_freq.values)\n",
    "axs[1,0].set_title(\"work4\")\n",
    "\n",
    "work5_freq = df['work5'].value_counts().sort_index()\n",
    "axs[1,1].bar(work5_freq.index, work5_freq.values)\n",
    "axs[1,1].set_title(\"work5\")\n",
    "\n",
    "work6_freq = df['work6'].value_counts().sort_index()\n",
    "axs[1,2].bar(work6_freq.index, work6_freq.values)\n",
    "axs[1,2].set_title(\"work6\")\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "e7220fbf",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.38\n",
      "4.48\n",
      "5.01\n",
      "5.13\n",
      "3.68\n",
      "4.86\n"
     ]
    }
   ],
   "source": [
    "print(df['work1'].mean()) # 4.38\n",
    "print(df['work2'].mean()) # 4.48\n",
    "print(df['work3'].mean()) # 5.01\n",
    "print(df['work4'].mean()) # 5.13\n",
    "print(df['work5'].mean()) # 3.68\n",
    "print(df['work6'].mean()) # 4.86"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "147ae36e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 일, 프로젝트 업무량 평균 그래프 (workAvg)\n",
    "\n",
    "ax = df['workAvg'].plot(kind='hist', xlim=[1,7], title='Workaholic Average')\n",
    "mean_val = df['workAvg'].mean()\n",
    "plt.axvline(x=mean_val, color='#FC6700', linestyle='--', linewidth=2)\n",
    "ax.set_ylabel('frequency')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "3d6d7204",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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nzig2NlajRo1SZWWlcnJydPHiRTU0NGjz5s06f/68PB6PpkyZom3btsnlclkdOgCEzf3P7QrJdU6unh6S6wDofyhsgBB7+eWXuzwXExOjPXv2RDAaAACA2wPP2AAAAACwPQobAAAAALZHYQMAAADA9ihsAAAR5/P5NHbsWLlcLsXHx2vmzJk6fvx40JjCwkI5HI6gNn78eIsiBqxBrgC9R2EDAIi4mpoaFRUVqba2VlVVVbp8+bJyc3PV0dERNG7atGk6c+ZMoO3evduiiAFrkCtA77EqGgAg4iorK4OOy8vLFR8fr/r6ek2aNCnQ73Q65Xa7Ix0eEDXIFaD3mLEBAFiutbVVkhQXFxfUX11drfj4eKWnp2v+/PlqaWnp9jp+v19tbW1BDehPQpEr5An6KwobAICljDEqLi7WxIkTlZGREejPy8vTK6+8on379mnt2rWqq6vT1KlT5ff7u7yWz+dTbGxsoCUnJ0fiLQAREapcIU/QX3ErGgDAUosWLdLRo0f11ltvBfXPnTs38O+MjAxlZmYqJSVFu3bt0uzZs294rZKSEhUXFweO29ra+D9t6DdClSvkCforChsAgGUWL16snTt36sCBA0pKSup2rMfjUUpKik6cONHlGKfTKafTGeowAcuFMlfIE/RXFDYAgIgzxmjx4sXasWOHqqurlZqa2uNrzp49q6amJnk8nghECEQHcgXoPZ6xAQBEXFFRkbZs2aKKigq5XC41NzerublZFy9elCRduHBBS5cu1aFDh3Ty5ElVV1crPz9fw4cP16xZsyyOHogccgXoPWZsAAARV1ZWJknKzs4O6i8vL1dhYaEGDBighoYGbd68WefPn5fH49GUKVO0bds2uVwuCyIGrEGuAL1HYQMAiDhjTLfnY2JitGfPnghFA0QvcgXoPW5FAwAAAGB7FDYAAAAAbI/CBgAAAIDtUdgAAAAAsD0KGwAAAAC216fCxufzaezYsXK5XIqPj9fMmTN1/PjxoDGFhYVyOBxBbfz48SENGgAAAACu16fCpqamRkVFRaqtrVVVVZUuX76s3NxcdXR0BI2bNm2azpw5E2i7d+8OadAAAAAAcL0+7WNTWVkZdFxeXq74+HjV19dr0qRJgX6n0ym32x2aCAEAAACgB7f0jE1ra6skKS4uLqi/urpa8fHxSk9P1/z589XS0tLlNfx+v9ra2oIaAAAAAPTFTRc2xhgVFxdr4sSJysjICPTn5eXplVde0b59+7R27VrV1dVp6tSp8vv9N7yOz+dTbGxsoCUnJ99sSAAAAABuU326Fe16ixYt0tGjR/XWW28F9c+dOzfw74yMDGVmZiolJUW7du3S7NmzO12npKRExcXFgeO2tjaKGwAAAAB9clMzNosXL9bOnTu1f/9+JSUldTvW4/EoJSVFJ06cuOF5p9OpoUOHBjXAzsrKyjRq1KjA3/OECRP0+uuvB84bY+T1epWYmKiYmBhlZ2fr2LFjFkYMAABgf30qbIwxWrRokbZv3659+/YpNTW1x9ecPXtWTU1N8ng8Nx0kYCdJSUlavXq1Dh8+rMOHD2vq1KmaMWNGoHhZs2aN1q1bpw0bNqiurk5ut1s5OTlqb2+3OHIAAAD76lNhU1RUpC1btqiiokIul0vNzc1qbm7WxYsXJUkXLlzQ0qVLdejQIZ08eVLV1dXKz8/X8OHDNWvWrLC8ASDa5Ofn6ytf+YrS09OVnp6uVatWaciQIaqtrZUxRuvXr9eKFSs0e/ZsZWRkaNOmTfroo49UUVFhdegAAAC21afCpqysTK2trcrOzpbH4wm0bdu2SZIGDBighoYGzZgxQ+np6SooKFB6eroOHTokl8sVljcARLMrV65o69at6ujo0IQJE9TY2Kjm5mbl5uYGxjidTk2ePFkHDx7s9lqsIAgAANC1Pi0eYIzp9nxMTIz27NlzSwEB/UFDQ4MmTJigjz/+WEOGDNGOHTs0cuTIQPGSkJAQND4hIUGnTp3q9po+n08rV64MW8wAAAB2dkv72AC4sREjRujIkSOqra3Vt771LRUUFOidd94JnHc4HEHjjTGd+j6tpKREra2tgdbU1BSW2AEAAOzoppd7BtC1QYMG6YEHHpAkZWZmqq6uTi+99JKeffZZSVJzc3PQghotLS2dZnE+zel0yul0hi9oAAAAG2PGBogAY4z8fr9SU1PldrtVVVUVOHfp0iXV1NQoKyvLwggBAADsjRkbIMSWL1+uvLw8JScnq729XVu3blV1dbUqKyvlcDi0ZMkSlZaWKi0tTWlpaSotLdXgwYM1b948q0MHAACwLQobIMTef/99PfXUUzpz5oxiY2M1atQoVVZWKicnR5K0bNkyXbx4UQsXLtS5c+c0btw47d27l5UDAQAAbgGFDRBiL7/8crfnHQ6HvF6vvF5vZAICAAC4DfCMDQAAAADbo7ABAAAAYHsUNgAAAABsj8IGAAAAgO1R2AAAAACwPQobAAAAALZHYQMAAADA9ihsAAAAANgehQ0AAAAA26OwAQAAAGB7FDYAAAAAbI/CBgAAAIDtUdgAAAAAsD0KGwAAAAC2R2EDAIg4n8+nsWPHyuVyKT4+XjNnztTx48eDxhhj5PV6lZiYqJiYGGVnZ+vYsWMWRQxYg1wBeo/CBgAQcTU1NSoqKlJtba2qqqp0+fJl5ebmqqOjIzBmzZo1WrdunTZs2KC6ujq53W7l5OSovb3dwsiByCJXgN4baHUAAIDbT2VlZdBxeXm54uPjVV9fr0mTJskYo/Xr12vFihWaPXu2JGnTpk1KSEhQRUWFFixYYEXYQMSRK0DvMWMDALBca2urJCkuLk6S1NjYqObmZuXm5gbGOJ1OTZ48WQcPHrQkRiAakCtA15ixAQBYyhij4uJiTZw4URkZGZKk5uZmSVJCQkLQ2ISEBJ06darLa/n9fvn9/sBxW1tbGCIGrBGqXCFP0F8xYwMAsNSiRYt09OhR/eQnP+l0zuFwBB0bYzr1Xc/n8yk2NjbQkpOTQx4vYJVQ5Qp5gv6KwgYAYJnFixdr586d2r9/v5KSkgL9brdb0h+/jb6mpaWl0zfT1yspKVFra2ugNTU1hSdwIMJCmSvkCforChsAQMQZY7Ro0SJt375d+/btU2pqatD51NRUud1uVVVVBfouXbqkmpoaZWVldXldp9OpoUOHBjXAzsKRK+QJ+iuesQEARFxRUZEqKir02muvyeVyBb5tjo2NVUxMjBwOh5YsWaLS0lKlpaUpLS1NpaWlGjx4sObNm2dx9EDkkCtA71HYwBL3P7crJNc5uXp6SK4DILLKysokSdnZ2UH95eXlKiwslCQtW7ZMFy9e1MKFC3Xu3DmNGzdOe/fulcvlinC0gHXIFaD3KGwAABFnjOlxjMPhkNfrldfrDX9AQJQiV4De4xkbIMR8Pp/Gjh0rl8ul+Ph4zZw5U8ePHw8aU1hYKIfDEdTGjx9vUcQAAAD2R2EDhFhNTY2KiopUW1urqqoqXb58Wbm5uero6AgaN23aNJ05cybQdu/ebVHEAAAA9tenwqY330QbY+T1epWYmKiYmBhlZ2fr2LFjIQ0aiGaVlZUqLCzUww8/rNGjR6u8vFynT59WfX190Din0ym32x1o13aRBgAAQN/1qbDpzTfRa9as0bp167RhwwbV1dXJ7XYrJydH7e3tIQ8esIPW1lZJ6lS4VFdXKz4+Xunp6Zo/f75aWlq6vY7f71dbW1tQAwAAwFV9WjygsrIy6Li8vFzx8fGqr6/XpEmTZIzR+vXrtWLFCs2ePVuStGnTJiUkJKiiokILFiwIXeSADRhjVFxcrIkTJyojIyPQn5eXpyeffFIpKSlqbGzU888/r6lTp6q+vl5Op/OG1/L5fFq5cmWkQgcAALCVW3rG5tPfRDc2Nqq5uVm5ubmBMU6nU5MnT9bBgwdveA2+hUZ/tmjRIh09elQ/+clPgvrnzp2r6dOnKyMjQ/n5+Xr99df129/+Vrt2db0MNjtFAwAAdO2mC5sbfRN9bdOohISEoLEJCQmBc5/m8/kUGxsbaMnJyTcbEhBVFi9erJ07d2r//v1KSkrqdqzH41FKSopOnDjR5Rh2igYAAOjaTRc2XX0TLV1dT/16xphOfdfwLTT6G2OMFi1apO3bt2vfvn1KTU3t8TVnz55VU1OTPB5PBCIEAADof25qg85r30QfOHAg6Jtot9st6erMzfX/B62lpaXTLM41Tqezy2cKADsqKipSRUWFXnvtNblcrsBsZWxsrGJiYnThwgV5vV7NmTNHHo9HJ0+e1PLlyzV8+HDNmjXL4ugBAADsqU8zNj19E52amiq3262qqqpA36VLl1RTU6OsrKzQRAxEubKyMrW2tio7O1sejyfQtm3bJkkaMGCAGhoaNGPGDKWnp6ugoEDp6ek6dOiQXC6XxdEDAADYU59mbHr6JtrhcGjJkiUqLS1VWlqa0tLSVFpaqsGDB2vevHlheQNAtDHGdHs+JiZGe/bsiVA0AAAAt4c+FTZlZWWSpOzs7KD+8vJyFRYWSpKWLVumixcvauHChTp37pzGjRunvXv38k00AAAAgLDpU2HT0zfR0tWFA7xer7xe783GBAAAAAB9ckv72AAAAABANKCwAQAAAGB7FDYAAAAAbI/CBgAAAIDtUdgAAAAAsD0KGwAAAAC2R2EDAAAAwPYobAAAAADYHoUNAAAAANujsAEAAABgexQ2AAAAAGyPwgYAAACA7VHYAAAAALA9ChsAAAAAtkdhAwAAAMD2KGwAAAAA2B6FDQAAAADbo7ABAAAAYHsUNgAAAABsj8IGAAAAgO1R2AAAAACwPQobAAAAALZHYQMAAADA9ihsgBDz+XwaO3asXC6X4uPjNXPmTB0/fjxojDFGXq9XiYmJiomJUXZ2to4dO2ZRxAAAAPZHYQOEWE1NjYqKilRbW6uqqipdvnxZubm56ujoCIxZs2aN1q1bpw0bNqiurk5ut1s5OTlqb2+3MHIgsg4cOKD8/HwlJibK4XDo1VdfDTpfWFgoh8MR1MaPH29NsIBFyBOg9wZaHQDQ31RWVgYdl5eXKz4+XvX19Zo0aZKMMVq/fr1WrFih2bNnS5I2bdqkhIQEVVRUaMGCBVaEDURcR0eHRo8erW984xuaM2fODcdMmzZN5eXlgeNBgwZFKjwgKpAnQO9R2ABh1traKkmKi4uTJDU2Nqq5uVm5ubmBMU6nU5MnT9bBgwe7LGz8fr/8fn/guK2tLYxRA+GXl5envLy8bsc4nU653e4IRQREH/IE6D1uRQPCyBij4uJiTZw4URkZGZKk5uZmSVJCQkLQ2ISEhMC5G/H5fIqNjQ205OTk8AUORInq6mrFx8crPT1d8+fPV0tLS7fj/X6/2traghrQ35EnwFXM2ABhtGjRIh09elRvvfVWp3MOhyPo2BjTqe96JSUlKi4uDhy3tbVR3KBfy8vL05NPPqmUlBQ1Njbq+eef19SpU1VfXy+n03nD1/h8Pq1cuTLCkQLWIU9gtfuf2xWS65xcPf2Wr0Fh0w9E0x8U/mjx4sXauXOnDhw4oKSkpED/tdsFmpub5fF4Av0tLS2dZnGu53Q6u/yPFNAfzZ07N/DvjIwMZWZmKiUlRbt27Qo8n/ZpfAGA2w15AvwRt6IBIWaM0aJFi7R9+3bt27dPqampQedTU1PldrtVVVUV6Lt06ZJqamqUlZUV6XAB2/B4PEpJSdGJEye6HON0OjV06NCgBtxOyBPczpixAUKsqKhIFRUVeu211+RyuQLPzcTGxiomJkYOh0NLlixRaWmp0tLSlJaWptLSUg0ePFjz5s2zOHogep09e1ZNTU1BM50AgpEnuJ1R2AAhVlZWJknKzs4O6i8vL1dhYaEkadmyZbp48aIWLlyoc+fOady4cdq7d69cLleEowWsc+HCBb377ruB48bGRh05ckRxcXGKi4uT1+vVnDlz5PF4dPLkSS1fvlzDhw/XrFmzLIwaiCzyBOi9Pt+KxkZRQPeMMTds14oa6erCAV6vV2fOnNHHH3+smpqawKppwO3i8OHDGjNmjMaMGSNJKi4u1pgxY/Sd73xHAwYMUENDg2bMmKH09HQVFBQoPT1dhw4d4gsA3FbIE6D3+jxjw0ZRAIBQyM7OljGmy/N79uyJYDRAdCJPgN7rc2HDRlEAAAAAok1YVkXr60ZRAAAAAHArQr54QF83ivL7/fL7/YFjdr8FAAAA0FchL2z6ulEUu98CAAAAuFVh36Czp42iSkpK1NraGmhNTU3hDgkAAABAPxP2fWx62ijK6XTe8BY1AAAAAOitPhc2bBQFAAAAINr0ubA5fPiwpkyZEjguLi6WJBUUFKisrEwNDQ3avHmzzp8/L4/HoylTpmjbtm1sFAUAAAAgbPpc2LBRFAAAAIBoE/bFAwAAAAAg3ChsAAAAANgehQ0AAAAA2wv7cs8AAMAe7n9uV0iuc3L19JBcBwD6ghkbAAAAALbHjA0ARCm+PQcAoPeYsQEAAABgexQ2AAAAAGyPwgYAAACA7VHYAAAAALA9ChsAAAAAtkdhAwAAAMD2WO45Qli2FQAAAAgfChsAAGyGL8sAoDNuRQMAAABgexQ2QBgcOHBA+fn5SkxMlMPh0Kuvvhp0vrCwUA6HI6iNHz/emmABAAD6AQobIAw6Ojo0evRobdiwocsx06ZN05kzZwJt9+7dEYwQAACgf+EZGyAM8vLylJeX1+0Yp9Mpt9sdoYgAAAD6N2ZsAItUV1crPj5e6enpmj9/vlpaWrod7/f71dbWFtQAAABwFYUNYIG8vDy98sor2rdvn9auXau6ujpNnTpVfr+/y9f4fD7FxsYGWnJycgQjBgAAiG7cigZYYO7cuYF/Z2RkKDMzUykpKdq1a5dmz559w9eUlJSouLg4cNzW1kZxAwAA8P9Q2ABRwOPxKCUlRSdOnOhyjNPplNPpjGBUAAAA9sGtaEAUOHv2rJqamuTxeKwOBQAAwJaYsQHC4MKFC3r33XcDx42NjTpy5Iji4uIUFxcnr9erOXPmyOPx6OTJk1q+fLmGDx+uWbNmWRg1AOB69z+3KyTXObl6ekiug74J1++Pv4voRWEDhMHhw4c1ZcqUwPG1Z2MKCgpUVlamhoYGbd68WefPn5fH49GUKVO0bds2uVwuq0IGAACwNQobIAyys7NljOny/J49eyIYDQAAQP9HYQMgajC9DwAAbhaLBwAAAACwPQobAIAlDhw4oPz8fCUmJsrhcOjVV18NOm+MkdfrVWJiomJiYpSdna1jx45ZEyxgEfIE6D1uRUO/wq1MgH10dHRo9OjR+sY3vqE5c+Z0Or9mzRqtW7dOP/7xj5Wenq4XX3xROTk5On78OAtt4LZBngC9R2EDALBEXl6e8vLybnjOGKP169drxYoVmj17tiRp06ZNSkhIUEVFhRYsWBDJUAHLkCdA73ErGgAg6jQ2Nqq5uVm5ubmBPqfTqcmTJ+vgwYNdvs7v96utrS2oAf0VeQIEo7ABAESd5uZmSVJCQkJQf0JCQuDcjfh8PsXGxgZacnJyWOMErESeAMEobAAAUcvhcAQdG2M69V2vpKREra2tgdbU1BTuEAHLkSfAVX0ubFidAwAQbm63W5I6fevc0tLS6dvp6zmdTg0dOjSoAf0VeQIE63Nhc211jg0bNtzw/LXVOTZs2KC6ujq53W7l5OSovb39loMFANweUlNT5Xa7VVVVFei7dOmSampqlJWVZWFkQPQgT4BgfV4VjdU5AAChcOHCBb377ruB48bGRh05ckRxcXG67777tGTJEpWWliotLU1paWkqLS3V4MGDNW/ePAujBiKLPAF6L6TLPfe0OseNChu/3y+/3x84ZmUOALg9HD58WFOmTAkcFxcXS5IKCgr04x//WMuWLdPFixe1cOFCnTt3TuPGjdPevXvZmwO3FfIE6L2QFjbdrc5x6tSpG77G5/Np5cqVoQwDAGAD2dnZMsZ0ed7hcMjr9crr9UYuKCDKkCdA74VlVbS+rM7ByhwAAAAAblVIZ2yuX53D4/EE+rtbncPpdMrpdIYyDAAAAAC3mZDO2LA6BwAAAAAr9HnGhtU5AAAAAESbPhc2rM4BAAAAINr0ubBhdQ4AAAAA0SYsq6IBAAAAQCRR2AAAAACwPQobAAAAALYX0n1sACBa3f/crpBc5+Tq6SG5DgAACC1mbAAAAADYHoUNAAAAANujsAHC4MCBA8rPz1diYqIcDodeffXVoPPGGHm9XiUmJiomJkbZ2dk6duyYNcECAAD0AxQ2QBh0dHRo9OjR2rBhww3Pr1mzRuvWrdOGDRtUV1cnt9utnJwctbe3RzhSAACA/oHFA4AwyMvLU15e3g3PGWO0fv16rVixQrNnz5Ykbdq0SQkJCaqoqNCCBQsiGSoAAEC/wIwNEGGNjY1qbm5Wbm5uoM/pdGry5Mk6ePBgl6/z+/1qa2sLagAAALiKGRsgwpqbmyVJCQkJQf0JCQk6depUl6/z+XxauXJlWGPrLZZOBgAA0YYZG8AiDocj6NgY06nveiUlJWptbQ20pqamcIcIAABgG8zYABHmdrslXZ258Xg8gf6WlpZOszjXczqdcjqdYY8PAADAjpixASIsNTVVbrdbVVVVgb5Lly6ppqZGWVlZFkYGAABgX8zYAGFw4cIFvfvuu4HjxsZGHTlyRHFxcbrvvvu0ZMkSlZaWKi0tTWlpaSotLdXgwYM1b948C6MGAACwLwobIAwOHz6sKVOmBI6Li4slSQUFBfrxj3+sZcuW6eLFi1q4cKHOnTuncePGae/evXK5XFaFDAAAYGsUNkAYZGdnyxjT5XmHwyGv1yuv1xu5oABEFKsHAkBkUdgAwG2G/8MNAOiPWDwAAAAAgO1R2AAAAACwPQobAAAAALZHYQMAAADA9ihsAAAAANgehQ0AAAAA26OwAQAAAGB7FDYAAAAAbI/CBgAAAIDtUdgAAAAAsD0KGwAAAAC2R2EDAAAAwPYobAAAUcnr9crhcAQ1t9ttdVhAVCFPgD8aaHUAAAB05eGHH9Ybb7wROB4wYICF0QDRiTwBrqKwAQBErYEDB/LtM9AD8gS4KuS3ojElCgAIlRMnTigxMVGpqan66le/qt/97ndWhwREHfIEuCosMzZMiQIAbtW4ceO0efNmpaen6/3339eLL76orKwsHTt2TMOGDbvha/x+v/x+f+C4ra0tUuECliBPgD8KS2HDlCgA4Fbl5eUF/v3II49owoQJ+vznP69NmzapuLj4hq/x+XxauXJlpEIELEeeAH8UllXRmBIFAITa3XffrUceeUQnTpzockxJSYlaW1sDrampKYIRAtYjT3A7C/mMTV+nRJkOBQD0ht/v13/913/p8ccf73KM0+mU0+mMYFRAdCFPcDsLeWHT1ynRaJsOvf+5XSG5zsnV00NyHQC4XS1dulT5+fm677771NLSohdffFFtbW0qKCiwOjQgapAnwB+FfYPOnqZEmQ4FANzI73//e/3FX/yFRowYodmzZ2vQoEGqra1VSkqK1aEBUYM8Af4o7PvY9DQlynQoAOBGtm7danUIQNQjT4A/CvmMzdKlS1VTU6PGxkb94he/0J/92Z8xJQoAAAAgrEJe2DAlCvSMjWwBAABCK+S3ojElCvQOG9kCAACETtifsQFwY2xkCwC43bEaLUIp7KuiAbixvm5k6/f71dbWFtQAAABwFYUNYIFrG9nu2bNHP/zhD9Xc3KysrCydPXu2y9f4fD7FxsYGWnJycgQjBgAAiG62vBWNaUvYXV83spWu7vl0/bm2tjaKGwAAgP/HloUN0N/0tJGtxJ5PAAAA3eFWNCAKXNvI1uPxWB0KAACALVHYABZgI1sAAIDQ4lY0wALXNrL98MMP9ZnPfEbjx49nI1sAAIBbQGEDWICNbAEAAEKLW9EAAAAA2B4zNgCA2xbbBwC9Q67ADpixAQAAAGB7FDYAAAAAbI/CBgAAAIDtUdgAAAAAsD0KGwAAAAC2R2EDAAAAwPYobAAAAADYHoUNAAAAANujsAEAAABgexQ2AAAAAGyPwgYAAACA7VHYAAAAALA9ChsAAAAAtjfQ6gAAhMf9z+0KyXVOrp4ekusAAACEEzM2AAAAAGyPwgYAAACA7VHYAAAAALA9ChsAAAAAtkdhAwAAAMD2KGwAAAAA2B6FDQAAAADbo7ABAAAAYHsUNgAAAABsL2yFzQ9+8AOlpqbqrrvu0qOPPqo333wzXD8KsC3yBOgZeQL0jDwBwlTYbNu2TUuWLNGKFSv0q1/9So8//rjy8vJ0+vTpcPw4wJbIE6Bn5AnQM/IEuCoshc26dev0V3/1V/rrv/5rPfTQQ1q/fr2Sk5NVVlYWjh8H2BJ5AvSMPAF6Rp4AVw0M9QUvXbqk+vp6Pffcc0H9ubm5OnjwYKfxfr9ffr8/cNza2ipJamtr6/JnfOL/KCSx3uhnhOvaxBzMjjF/+pwx5qav39c8kfqeK/z+ghFz+K97o3Pkib2uTczBwp0rdskTid9fJK4bzmvbMeZP9/cqT0yIvffee0aS+c///M+g/lWrVpn09PRO41944QUjiUazXWtqaopYnpArNLs28oRG67mRJzRaz603eRLyGZtrHA5H0LExplOfJJWUlKi4uDhw/Mknn+h//ud/NGzYsBuOt1pbW5uSk5PV1NSkoUOHWh1OrxBzaBlj1N7ersTExFu+Vm/zRLJXrkTz768rxBxa5EnPovn31xViDi3ypGfR/PvrCjGHVl/yJOSFzfDhwzVgwAA1NzcH9be0tCghIaHTeKfTKafTGdR3zz33hDqskBs6dGjU/eJ7QsyhExsbe0uv72ueSPbMlWj9/XWHmEOHPOmdaP39dYeYQ4c86Z1o/f11h5hDp7d5EvLFAwYNGqRHH31UVVVVQf1VVVXKysoK9Y8DbIk8AXpGngA9I0+APwrLrWjFxcV66qmnlJmZqQkTJmjjxo06ffq0nn766XD8OMCWyBOgZ+QJ0DPyBLgqLIXN3LlzdfbsWX33u9/VmTNnlJGRod27dyslJSUcPy6inE6nXnjhhU5TuNGMmKMTeRJdiDk6kSfRhZijE3kSXYjZOg5jbmGNQQAAAACIAmHZoBMAAAAAIonCBgAAAIDtUdgAAAAAsD0KGwAAAAC2R2HTCz6fT2PHjpXL5VJ8fLxmzpyp48ePWx1Wn/h8PjkcDi1ZssTqULr13nvv6etf/7qGDRumwYMH6wtf+ILq6+utDgu9QJ5EDnlib3bPFbvkiUSu2Bl5Ejn9KU8obHqhpqZGRUVFqq2tVVVVlS5fvqzc3Fx1dHRYHVqv1NXVaePGjRo1apTVoXTr3Llzeuyxx3TnnXfq9ddf1zvvvKO1a9dG/W7IuIo8iQzyxP7snCt2yROJXLE78iQy+l2eGPRZS0uLkWRqamqsDqVH7e3tJi0tzVRVVZnJkyebb3/721aH1KVnn33WTJw40eowECLkSXiQJ/2PXXLFTnliDLnS35An4dHf8oQZm5vQ2toqSYqLi7M4kp4VFRVp+vTpeuKJJ6wOpUc7d+5UZmamnnzyScXHx2vMmDH64Q9/aHVYuEnkSXiQJ/2PXXLFTnkikSv9DXkSHv0tTyhs+sgYo+LiYk2cOFEZGRlWh9OtrVu3qr6+Xj6fz+pQeuV3v/udysrKlJaWpj179ujpp5/WM888o82bN1sdGvqIPAkf8qR/sUuu2C1PJHKlPyFPwqe/5clAqwOwm0WLFuno0aN66623rA6lW01NTfr2t7+tvXv36q677rI6nF755JNPlJmZqdLSUknSmDFjdOzYMZWVlekv//IvLY4OfUGehA950r/YIVfsmCcSudKfkCfh09/yhBmbPli8eLF27typ/fv3KykpyepwulVfX6+WlhY9+uijGjhwoAYOHKiamhr98z//swYOHKgrV65YHWInHo9HI0eODOp76KGHdPr0aYsiws0gT8KLPOk/7JIrdswTiVzpL8iT8OpvecKMTS8YY7R48WLt2LFD1dXVSk1NtTqkHn3pS19SQ0NDUN83vvENPfjgg3r22Wc1YMAAiyLr2mOPPdZpKcff/va3SklJsSgi9AV5Ehnkif3ZLVfsmCcSuWJ35Elk9Lc8obDphaKiIlVUVOi1116Ty+VSc3OzJCk2NlYxMTEWR3djLper032od999t4YNGxa196f+7d/+rbKyslRaWqo///M/19tvv62NGzdq48aNVoeGXiBPIoM8sT+75Yod80QiV+yOPImMfpcn1i3IZh+SbtjKy8utDq1P7LDs4M9//nOTkZFhnE6nefDBB83GjRutDgm9RJ5EDnlib/0hV+yQJ8aQK3ZGnkROf8oThzHGRK6MAgAAAIDQY/EAAAAAALZHYQMAAADA9ihsAAAAANgehQ0AAAAA26OwAQAAAGB7FDYAAAAAbI/CBgAAAIDtUdgAAAAAsD0KGwAAAAC2R2EDAAAAwPYobAAAAADYHoUNAAAAANujsAEAAABgexQ2AAAAAGyPwsZiXq9XDodDH374odWh9Ki6uloOh+OGrba21urw0I/ZKU+ueeutt/SVr3xF9957r2JiYpSWlqbvfe97VoeFfsxOeVJYWNjlf0/4bwrCyU55Ikm/+tWvNHPmTCUmJmrw4MF68MEH9d3vflcfffSR1aFFpYFWBwD7KS0t1ZQpU4L6MjIyLIoGiD4VFRV66qmn9Od//ufavHmzhgwZov/+7//WH/7wB6tDA6LC888/r6effrpTf35+vpxOp8aOHWtBVEB0eeedd5SVlaURI0Zo/fr1Gj58uA4cOKDvfve7qq+v12uvvWZ1iFGHwgZ9lpaWpvHjx1sdBhCV3nvvPf3N3/yNFixYoB/84AeB/k9/GQDczj7/+c/r85//fFBfTU2NPvzwQ/3DP/yDBgwYYFFkQPSoqKjQxx9/rJ/97GeBfJk6darOnDmjjRs36ty5c7r33nstjjK6cCtaFPrNb36jz33ucxo3bpxaWlqUnZ2tjIwM1dXV6fHHH9fgwYP1uc99TqtXr9Ynn3wS9NrTp0/r61//uuLj4+V0OvXQQw9p7dq1QePGjh2r6dOnB73ukUcekcPhUF1dXaBv+/btcjgcamhoCO8bBm5CtObJv/7rv6qjo0PPPvtsGN890DvRmic38vLLL8vhcOib3/xmiN490DvRmid33nmnJCk2Njbotffcc4/uuOMODRo0KKSfQ79gYKkXXnjBSDIffPCBMcaY6upqc++995oZM2aYjo4OY4wxkydPNsOGDTNpaWnmX/7lX0xVVZVZuHChkWQ2bdoUuFZLS4v57Gc/az7zmc+Yf/mXfzGVlZVm0aJFRpL51re+FRj33HPPmSFDhphLly4ZY4xpbm42kkxMTIxZtWpVYNy3vvUtk5CQEDjev3+/kWTi4+PNgAEDjMvlMrm5uebNN98M62cE2ClPpk6dauLi4kxlZaUZPXq0GTBggPnMZz5jFixYYFpbW8P6OeH2Zqc8+bTz58+bmJgY88QTT4T0MwE+zU550tjYaO655x7zZ3/2Z+a///u/TVtbm/n5z39uYmNjzeLFi8P6OdkVhY3Frk+wf/u3fzODBg0yzzzzjLly5UpgzOTJk40k84tf/CLotSNHjjRf/vKXA8fPPffcDcd961vfMg6Hwxw/ftwYY8wbb7xhJJkDBw4YY4zZsmWLcblcZuHChWbKlCmB16WlpZl58+YFjn/5y1+ab3/722bHjh3mwIED5kc/+pF56KGHzIABA0xlZWXoPhTgU+yUJyNGjDB33XWXcblcprS01Ozfv9+sWbPGxMTEmMcee8x88sknoftggOvYKU8+rayszEgyP/nJT27+AwB6wW558l//9V/mwQcfNJIC7ZlnnuG/JV2gsLHYtQRbsmSJGTBggFm3bl2nMZMnTzZut7tT/1e/+lXz4IMPBo6/+MUvmpEjR3Ya94tf/MJIMmVlZcYYYy5evGjuuusu853vfMcYY0xBQYHJz883O3fuNE6n03R0dJjTp08bSeZHP/pRt/GfO3fOJCUlmVGjRvXpfQN9Yac8SUtLM5KMz+cLuv769euNJFNVVXVzHwLQAzvlyadlZmaaYcOGmY8//rjP7xvoCzvlSWNjo3nggQfMY489Zv793//d1NTUmDVr1pihQ4eab37zm7f8WfRHPGMTJbZs2aLPfvaz+upXv3rD88OGDevU53Q6dfHixcDx2bNn5fF4Oo1LTEwMnJeku+66S4899pjeeOMNSdJ//Md/KCcnR9nZ2bpy5YrefPNNVVVVSZKeeOKJbuO+55579Kd/+qc6evRoUCxAONghT67F8OUvfzno+nl5eZKkX/7yl717s8BNskOeXO/o0aM6fPiwvv71r8vpdPbhnQI3zw558txzz6mtrU179uzRnDlzNGnSJP393/+91q9frx/96Eeqqam5yXfff1HYRInKykrdeeedevzxx3Xq1KmbusawYcN05syZTv3XlpgdPnx4oO9LX/qS3n77bb399tv6/e9/r5ycHLlcLo0dO1ZVVVV64403lJ6eruTk5B5/rjFGkuRwOG4qbqC37JAno0aNuuHPvZYnd9zB/+wivOyQJ9d7+eWXJUl//dd/fVOxAjfDDnly5MgRjRw5UnfffXfQ9a8th/7rX//6puLuz/gvbJRISUnRm2++KafTqccff1wnTpzo8zW+9KUv6Z133un0jfDmzZvlcDiClpt94okndPnyZT3//PNKSkrSgw8+GOh/4403tG/fvh5nayTp3Llz+r//9//qC1/4gu66664+xwz0hR3yZM6cOZKk119/Pah/9+7dksRS6Qg7O+TJNX6/X1u2bNEXv/hF9kNDRNkhTxITE3Xs2DFduHAhqP/QoUOSpKSkpD7H3O9ZfS/c7e7Tq3N88MEH5k/+5E+M2+02DQ0Nxpir93o+/PDDnV5bUFBgUlJSAsfXVudwu91m48aNZs+ePeaZZ54xDofDLFy4MOi1V65cMffee6+RZL7xjW8E+mtqagIPp23fvj3oNX/xF39hnn32WfPTn/7U7N+/32zcuNGMGDHCDBw4kOcGEFZ2yhNjjMnPzzdOp9N873vfM1VVVcbn85m77rrL/Omf/mkoPg7ghuyWJ8YYs3XrViPJbNy48VbfPtArdsqT1157zTgcDjN+/Hizbds28x//8R9m1apVZsiQIWbkyJHG7/eH6mPpNyhsLPbpBDPm6rKXjz32mImLizN1dXW9TjBjjDl16pSZN2+eGTZsmLnzzjvNiBEjzD/+4z8GrfZxzaxZs4wk88orrwT6Ll26ZO6++25zxx13mHPnzgWN9/l85gtf+IKJjY0NLGE7a9Ys8/bbb9/ahwD0wE55YowxH330kXn22WdNcnKyGThwoLnvvvtMSUkJD0YjrOyWJ8YYk5OTY+6++27T1tZ2c28a6CO75cm+fftMbm6ucbvdJiYmxqSnp5u/+7u/Mx9++OHNfwj9mMOY/3fjNwAAAADYFM/YAAAAALA9ChsAAAAAtkdhAwAAAMD2KGwAAAAA2B6FDQAAAADbo7ABAACIUj6fT2PHjpXL5VJ8fLxmzpyp48ePB40pLCyUw+EIamwGjNvRQKsD+LRPPvlEf/jDH+RyueRwOKwOB+jEGKP29nYlJibqjjus+26AXEE0I0+AnvUmT2pqalRUVKSxY8fq8uXLWrFihXJzc/XOO+/o7rvvDoybNm2aysvLA8eDBg3qdRzkCaJZX/57EnWFzR/+8AclJydbHQbQo6amJiUlJVn288kV2AF5AvSsuzyprKwMOi4vL1d8fLzq6+s1adKkQL/T6ZTb7b6pn0+ewA5689+TqCtsXC6XpKvBDx061OJogM7a2tqUnJwc+Fu1CrmCaEaeAD27mTxpbW2VJMXFxQX1V1dXKz4+Xvfcc48mT56sVatWKT4+vlfXJE8QzfqSJ1FX2FybAh06dCjJhahm9XQ9uQI7IE+AnvU2T4wxKi4u1sSJE5WRkRHoz8vL05NPPqmUlBQ1Njbq+eef19SpU1VfXy+n09npOn6/X36/P3Dc3t4uiTxBdOtNnkRdYQMAAIDOFi1apKNHj+qtt94K6p87d27g3xkZGcrMzFRKSop27dql2bNnd7qOz+fTypUrwx4vEGmsigYAABDlFi9erJ07d2r//v09Pmfg8XiUkpKiEydO3PB8SUmJWltbA62pqSkcIQMRx4wNAABAlDLGaPHixdqxY4eqq6uVmpra42vOnj2rpqYmeTyeG553Op03vEUNsDtmbAAAAKJUUVGRtmzZooqKCrlcLjU3N6u5uVkXL16UJF24cEFLly7VoUOHdPLkSVVXVys/P1/Dhw/XrFmzLI4eiCxmbAAAAKJUWVmZJCk7Ozuov7y8XIWFhRowYIAaGhq0efNmnT9/Xh6PR1OmTNG2bdssX5UQiDQKGwAAgChljOn2fExMjPbs2ROhaIDoxq1oQIiVlZVp1KhRgWUzJ0yYoNdffz1wvrCwUA6HI6iNHz/ewogBAADsjxkbIMSSkpK0evVqPfDAA5KkTZs2acaMGfrVr36lhx9+WJI0bdo0lZeXB14zaNAgS2IFAADoLyhsgBDLz88POl61apXKyspUW1sbKGycTqfcbrcV4QEAAPRL3IoGhNGVK1e0detWdXR0aMKECYH+6upqxcfHKz09XfPnz1dLS4uFUQIAANgfMzZAGDQ0NGjChAn6+OOPNWTIEO3YsUMjR46UJOXl5enJJ59USkqKGhsb9fzzz2vq1Kmqr6/vdl8Bv98vv98fOG5rawv7+wAAALALChtY4v7ndoXkOidXTw/JdUJtxIgROnLkiM6fP6+f/exnKigoUE1NjUaOHKm5c+cGxmVkZCgzM1MpKSnatWuXZs+e3eU1fT6fVq5cGYnw0Qf9/W8ZiAahyrPrkXO4ndwu/63iVjQgDAYNGqQHHnhAmZmZ8vl8Gj16tF566aUbjvV4PEpJSdGJEye6vWZJSYlaW1sDrampKRyhAwAA2BIzNkAEGGOCbiO73tmzZ9XU1CSPx9PtNZxOZ7e3qgEAANzOKGyAEFu+fLny8vKUnJys9vZ2bd26VdXV1aqsrNSFCxfk9Xo1Z84ceTwenTx5UsuXL9fw4cM1a9Ysq0MHAACwLQobIMTef/99PfXUUzpz5oxiY2M1atQoVVZWKicnRxcvXlRDQ4M2b96s8+fPy+PxaMqUKdq2bZtcLpfVoQMAANhWnwobn8+n7du36ze/+Y1iYmKUlZWl73//+xoxYkRgTGFhoTZt2hT0unHjxqm2tjY0EQNR7uWXX+7yXExMjPbs2RPBaAAAAG4PfVo8oKamRkVFRaqtrVVVVZUuX76s3NxcdXR0BI2bNm2azpw5E2i7d+8OadAAAAAAcL0+zdhUVlYGHZeXlys+Pl719fWaNGlSoJ9d1QEAAABE0i09Y9Pa2ipJiouLC+q/tqv6Pffco8mTJ2vVqlWKj4+/lR8FAACiDPvLAIgmN13YGGNUXFysiRMnKiMjI9Df113V2U0dAAAAwK266cJm0aJFOnr0qN56662g/r7uqs5u6tHrdtmlFgAAAPbXp8UDrlm8eLF27typ/fv3KykpqduxPe2qzm7qAAAAAG5VnwobY4wWLVqk7du3a9++fUpNTe3xNT3tqu50OjV06NCgBgDo38rKyjRq1KjA/+5PmDBBr7/+euC8MUZer1eJiYmKiYlRdna2jh07ZmHEAIBo16fCpqioSFu2bFFFRYVcLpeam5vV3NysixcvSpIuXLigpUuX6tChQzp58qSqq6uVn5/PruoAgCBJSUlavXq1Dh8+rMOHD2vq1KmaMWNGoHhZs2aN1q1bpw0bNqiurk5ut1s5OTlqb2+3OHIAQLTqU2FTVlam1tZWZWdny+PxBNq2bdskSQMGDFBDQ4NmzJih9PR0FRQUKD09XYcOHWJXdQBAQH5+vr7yla8oPT1d6enpWrVqlYYMGaLa2loZY7R+/XqtWLFCs2fPVkZGhjZt2qSPPvpIFRUVVocOAIhSfVo8wBjT7Xl2VQcA9NWVK1f005/+VB0dHZowYYIaGxvV3Nys3NzcwBin06nJkyfr4MGDWrBgQZfXYqVNALh93dTiAQAA3KqGhgYNGTJETqdTTz/9tHbs2KGRI0equblZkpSQkBA0PiEhIXCuKz6fT7GxsYGWnJwctvgBANGFwgYAYIkRI0boyJEjqq2t1be+9S0VFBTonXfeCZx3OBxB440xnfo+jZU2AeD2ddP72AAAcCsGDRqkBx54QJKUmZmpuro6vfTSS3r22WclSc3NzUErara0tHSaxfk0p9N5w82gAQD9HzM2AICoYIyR3+9Xamqq3G63qqqqAucuXbqkmpoaZWVlWRghACCaMWMDAIi45cuXKy8vT8nJyWpvb9fWrVtVXV2tyspKORwOLVmyRKWlpUpLS1NaWppKS0s1ePBgzZs3z+rQAQBRisIGABBx77//vp566imdOXNGsbGxGjVqlCorK5WTkyNJWrZsmS5evKiFCxfq3LlzGjdunPbu3cvWAQCALlHYAAAi7uWXX+72vMPhkNfrldfrjUxAAADb4xkbAAAAALZHYQMAAADA9ihsAAAAANgehQ0AAAAA26OwAQAAAGB7FDYAAAAAbI/CBgAAAIDtUdgAAAAAsD0KGwAAAAC2R2EDAAAAwPYobIAQKysr06hRozR06FANHTpUEyZM0Ouvvx44b4yR1+tVYmKiYmJilJ2drWPHjlkYMQAAgP1R2AAhlpSUpNWrV+vw4cM6fPiwpk6dqhkzZgSKlzVr1mjdunXasGGD6urq5Ha7lZOTo/b2dosjBwAAsC8KGyDE8vPz9ZWvfEXp6elKT0/XqlWrNGTIENXW1soYo/Xr12vFihWaPXu2MjIytGnTJn300UeqqKiwOnQAAADborABwujKlSvaunWrOjo6NGHCBDU2Nqq5uVm5ubmBMU6nU5MnT9bBgwctjBQAAMDeBlodANAfNTQ0aMKECfr44481ZMgQ7dixQyNHjgwULwkJCUHjExISdOrUqW6v6ff75ff7A8dtbW2hDxwAAMCmKGyAMBgxYoSOHDmi8+fP62c/+5kKCgpUU1MTOO9wOILGG2M69X2az+fTypUrwxIvotP9z+0KyXVOrp4ekusAABDNuBUNCINBgwbpgQceUGZmpnw+n0aPHq2XXnpJbrdbktTc3Bw0vqWlpdMszqeVlJSotbU10JqamsIWPwAAgN1Q2AARYIyR3+9Xamqq3G63qqqqAucuXbqkmpoaZWVldXsNp9MZWEL6WgMA9G8+n09jx46Vy+VSfHy8Zs6cqePHjweNYRsB4CoKGyDEli9frjfffFMnT55UQ0ODVqxYoerqan3ta1+Tw+HQkiVLVFpaqh07dujXv/61CgsLNXjwYM2bN8/q0AEAUaampkZFRUWqra1VVVWVLl++rNzcXHV0dATGsI0AcBXP2AAh9v777+upp57SmTNnFBsbq1GjRqmyslI5OTmSpGXLlunixYtauHChzp07p3Hjxmnv3r1yuVwWRw4AiDaVlZVBx+Xl5YqPj1d9fb0mTZrUaRsBSdq0aZMSEhJUUVGhBQsWWBE2YAkKGyDEXn755W7POxwOeb1eeb3eyAQEAOg3WltbJUlxcXGS1OM2AjcqbFhlE/0Vt6IBAADYgDFGxcXFmjhxojIyMiT9cTGaG20j8OmFaq7x+XyKjY0NtOTk5PAGDkQIhQ0AAIANLFq0SEePHtVPfvKTTuf6so0Aq2yiv+JWNAAAgCi3ePFi7dy5UwcOHFBSUlKg//ptBDweT6C/u20EnE6nnE5neAMGLMCMDQAAQJQyxmjRokXavn279u3bp9TU1KDzt7KNANDfMGMDAAAQpYqKilRRUaHXXntNLpcr8NxMbGysYmJigrYRSEtLU1pamkpLS9lGALclChsAAIAoVVZWJknKzs4O6i8vL1dhYaEkthEArqGwAQAAiFLGmB7HsI0AcBXP2AAAAACwPQobAAAAALZHYQMAiDifz6exY8fK5XIpPj5eM2fO1PHjx4PGFBYWyuFwBLXx48dbFDEAINpR2AAAIq6mpkZFRUWqra1VVVWVLl++rNzcXHV0dASNmzZtms6cORNou3fvtihiAEC0Y/EAAEDEVVZWBh2Xl5crPj5e9fX1mjRpUqDf6XQGNiAEgP7u/ud2heQ6J1dPD8l17IYZGwCA5VpbWyVJcXFxQf3V1dWKj49Xenq65s+fr5aWFivCAwDYQJ8Km97cE22MkdfrVWJiomJiYpSdna1jx46FNGgAQP9hjFFxcbEmTpyojIyMQH9eXp5eeeUV7du3T2vXrlVdXZ2mTp0qv9/f5bX8fr/a2tqCGgDg9tCnwqY390SvWbNG69at04YNG1RXVye3262cnBy1t7eHPHgAgP0tWrRIR48e1U9+8pOg/rlz52r69OnKyMhQfn6+Xn/9df32t7/Vrl1d36rh8/kUGxsbaMnJyeEOHwAQJfpU2FRWVqqwsFAPP/ywRo8erfLycp0+fVr19fWSrn7rtn79eq1YsUKzZ89WRkaGNm3apI8++kgVFRVheQMAAPtavHixdu7cqf379yspKanbsR6PRykpKTpx4kSXY0pKStTa2hpoTU1NoQ4ZABClbukZm0/fE93Y2Kjm5mbl5uYGxjidTk2ePFkHDx684TW4bQAAbj/GGC1atEjbt2/Xvn37lJqa2uNrzp49q6amJnk8ni7HOJ1ODR06NKgBAG4PN13Y3Oie6ObmZklSQkJC0NiEhITAuU/jtgEAuP0UFRVpy5YtqqiokMvlUnNzs5qbm3Xx4kVJ0oULF7R06VIdOnRIJ0+eVHV1tfLz8zV8+HDNmjXL4ugBANHopgubru6JliSHwxF0bIzp1HcNtw0AwO2nrKxMra2tys7OlsfjCbRt27ZJkgYMGKCGhgbNmDFD6enpKigoUHp6ug4dOiSXy2Vx9ACAaHRT+9hcuyf6wIEDQfdEX9troLm5OehWgZaWlk6zONc4nU45nc6bCQMAYFPGmG7Px8TEaM+ePRGKBgDQH/Rpxqane6JTU1PldrtVVVUV6Lt06ZJqamqUlZUVmogBAAAA4FP6NGNTVFSkiooKvfbaa4F7oiUpNjZWMTExcjgcWrJkiUpLS5WWlqa0tDSVlpZq8ODBmjdvXljeAAAAAAD0qbApKyuTJGVnZwf1l5eXq7CwUJK0bNkyXbx4UQsXLtS5c+c0btw47d27l3uiAQAAAIRNnwqbnu6Jlq4uHOD1euX1em82JgAAAADok1vaxwYAAAAAogGFDQAAAADbo7ABAAAAYHs3tY8NEK3uf25XSK5zcvX0m36tz+fT9u3b9Zvf/EYxMTHKysrS97//fY0YMSIwprCwUJs2bQp63bhx41RbW3vTPxcAAOB2xowNEGI1NTUqKipSbW2tqqqqdPnyZeXm5qqjoyNo3LRp03TmzJlA2717t0URAwAA2B8zNkCIVVZWBh2Xl5crPj5e9fX1mjRpUqDf6XTK7XZHOjwAAIB+iRkbIMxaW1slSXFxcUH91dXVio+PV3p6uubPn6+WlhYrwgMAAOgXmLEBwsgYo+LiYk2cOFEZGRmB/ry8PD355JNKSUlRY2Ojnn/+eU2dOlX19fVyOp03vJbf75ff7w8ct7W1hT1+AAAAu6CwAcJo0aJFOnr0qN56662g/rlz5wb+nZGRoczMTKWkpGjXrl2aPXv2Da/l8/m0cuXKsMYLAABgVxQ2QJgsXrxYO3fu1IEDB5SUlNTtWI/Ho5SUFJ04caLLMSUlJSouLg4ct7W1KTk5OWTxAgAQadGwmin6DwobIMSMMVq8eLF27Nih6upqpaam9vias2fPqqmpSR6Pp8sxTqezy9vUAAAAbncsHgCEWFFRkbZs2aKKigq5XC41NzerublZFy9elCRduHBBS5cu1aFDh3Ty5ElVV1crPz9fw4cP16xZsyyOHgAAwJ6YsQFCrKysTJKUnZ0d1F9eXq7CwkINGDBADQ0N2rx5s86fPy+Px6MpU6Zo27ZtcrlcFkQMAABgfxQ2QIgZY7o9HxMToz179kQoGgAAgNsDt6IBAAAAsD0KGwAAAAC2R2EDAAAAwPYobAAAAADYHoUNAAAAANujsAEAAABgexQ2AAAAAGyPwgYAAACA7VHYAAAAALA9ChsAAAAAtkdhAwAAAMD2KGwAAAAA2B6FDQAAAADbo7ABAEScz+fT2LFj5XK5FB8fr5kzZ+r48eNBY4wx8nq9SkxMVExMjLKzs3Xs2DGLIgasceDAAeXn5ysxMVEOh0Ovvvpq0PnCwkI5HI6gNn78eGuCBSxGYQMAiLiamhoVFRWptrZWVVVVunz5snJzc9XR0REYs2bNGq1bt04bNmxQXV2d3G63cnJy1N7ebmHkQGR1dHRo9OjR2rBhQ5djpk2bpjNnzgTa7t27IxghED0GWh0AAOD2U1lZGXRcXl6u+Ph41dfXa9KkSTLGaP369VqxYoVmz54tSdq0aZMSEhJUUVGhBQsWWBE2EHF5eXnKy8vrdozT6ZTb7Y5QRED0YsYGAGC51tZWSVJcXJwkqbGxUc3NzcrNzQ2McTqdmjx5sg4ePGhJjEC0qq6uVnx8vNLT0zV//ny1tLRYHRJgCWZsAACWMsaouLhYEydOVEZGhiSpublZkpSQkBA0NiEhQadOneryWn6/X36/P3Dc1tYWhoiB6JGXl6cnn3xSKSkpamxs1PPPP6+pU6eqvr5eTqfzhq8hT9BfUdgAACy1aNEiHT16VG+99Vancw6HI+jYGNOp73o+n08rV64MeYy4fdz/3K6QX/Pk6ukhv+Y1c+fODfw7IyNDmZmZSklJ0a5duwK3cX4aeYL+ilvRAACWWbx4sXbu3Kn9+/crKSkp0H/teYFrMzfXtLS0dJrFuV5JSYlaW1sDrampKTyBA1HK4/EoJSVFJ06c6HIMeYL+ihmbfiBU3y6F8xslALieMUaLFy/Wjh07VF1drdTU1KDzqampcrvdqqqq0pgxYyRJly5dUk1Njb7//e93eV2n09nl7TfA7eDs2bNqamqSx+Ppcgx5gv6KwgYAEHFFRUWqqKjQa6+9JpfLFZiZiY2NVUxMjBwOh5YsWaLS0lKlpaUpLS1NpaWlGjx4sObNm2dx9EDkXLhwQe+++27guLGxUUeOHFFcXJzi4uLk9Xo1Z84ceTwenTx5UsuXL9fw4cM1a9YsC6MGrEFhAwCIuLKyMklSdnZ2UH95ebkKCwslScuWLdPFixe1cOFCnTt3TuPGjdPevXvlcrkiHC1gncOHD2vKlCmB4+LiYklSQUGBysrK1NDQoM2bN+v8+fPyeDyaMmWKtm3bRp7gtkRhAwCIOGNMj2McDoe8Xq+8Xm/4AwKiVHZ2drf5smfPnghGA0Q3Fg8AAAAAYHsUNgAAAABsr8+FzYEDB5Sfn6/ExEQ5HA69+uqrQecLCwvlcDiC2vjx40MVLwAAAAB00ufCpqOjQ6NHj9aGDRu6HDNt2jSdOXMm0Hbv3n1LQQJ24vP5NHbsWLlcLsXHx2vmzJk6fvx40BhjjLxerxITExUTE6Ps7GwdO3bMoogBAADsr8+FTV5enl588cUud7OVrq6P7na7Ay0uLu6WggTspKamRkVFRaqtrVVVVZUuX76s3NxcdXR0BMasWbNG69at04YNG1RXVye3262cnBy1t7dbGDkAAIB9hWVVtOrqasXHx+uee+7R5MmTtWrVKsXHx99wrN/vl9/vDxy3tbWFIyQgYiorK4OOy8vLFR8fr/r6ek2aNEnGGK1fv14rVqwIfEGwadMmJSQkqKKiQgsWLLAibAAAAFsL+eIBeXl5euWVV7Rv3z6tXbtWdXV1mjp1alDxcj2fz6fY2NhAS05ODnVIgKVaW1slKTBz2djYqObmZuXm5gbGOJ1OTZ48WQcPHrQkRgAAALsL+YzN3LlzA//OyMhQZmamUlJStGvXrhvevlZSUhLYbEq6OmNDcYP+whij4uJiTZw4URkZGZIU2GE9ISEhaGxCQoJOnTrV5bWY3QQAAOha2Dfo9Hg8SklJ0YkTJ2543ul0yul0hjsMwBKLFi3S0aNH9dZbb3U653A4go6NMZ36rufz+bRy5cqQxwgAANAfhH0fm7Nnz6qpqUkejyfcPwqIKosXL9bOnTu1f/9+JSUlBfrdbrekP87cXNPS0tJpFud6JSUlam1tDbSmpqbwBA4AAGBDfS5sLly4oCNHjujIkSOSrj4vcOTIEZ0+fVoXLlzQ0qVLdejQIZ08eVLV1dXKz8/X8OHDNWvWrFDHDkQlY4wWLVqk7du3a9++fUpNTQ06n5qaKrfbraqqqkDfpUuXVFNTo6ysrC6v63Q6NXTo0KAGAACAq/p8K9rhw4c1ZcqUwPG152MKCgpUVlamhoYGbd68WefPn5fH49GUKVO0bds2uVyu0EUNRLGioiJVVFTotddek8vlCszMxMbGKiYmRg6HQ0uWLFFpaanS0tKUlpam0tJSDR48WPPmzbM4egAAAHvqc2GTnZ0tY0yX5/fs2XNLAQF2V1ZWJulqrlyvvLxchYWFkqRly5bp4sWLWrhwoc6dO6dx48Zp7969fAEAAABwk8K+eABwu+mu8L/G4XDI6/XK6/WGPyAAAIDbQNgXDwAAAACAcKOwAQAAAGB73IoGALeZ+5/bFZLrnFw9PSTXAQA74X9Dg0XT58GMDQAAAADbo7ABAAAAYHsUNgAAAABsj8IGAAAAgO1R2AAAAACwPQobAAAAALZHYQMAAADA9ihsAAAAANgehQ0AAAAA26OwAQAAAGB7A60OAAAAAAi1+5/bFZLrnFw9PSTXQfgxYwMAAADA9ihsAAAAANgehQ0AAAAA26OwAQBY4sCBA8rPz1diYqIcDodeffXVoPOFhYVyOBxBbfz48dYECwCIehQ2AABLdHR0aPTo0dqwYUOXY6ZNm6YzZ84E2u7duyMYIQDATlgVDQBgiby8POXl5XU7xul0yu12RygiAICdMWMDAIha1dXVio+PV3p6uubPn6+WlpZux/v9frW1tQU1AMDtgcIGABCV8vLy9Morr2jfvn1au3at6urqNHXqVPn9/i5f4/P5FBsbG2jJyckRjBgAYCVuRQMARKW5c+cG/p2RkaHMzEylpKRo165dmj179g1fU1JSouLi4sBxW1sbxQ0A3CYobAAAtuDxeJSSkqITJ050OcbpdMrpdEYwKgBAtOBWNACALZw9e1ZNTU3yeDxWhwIAiELM2AAALHHhwgW9++67gePGxkYdOXJEcXFxiouLk9fr1Zw5c+TxeHTy5EktX75cw4cP16xZsyyMGgAQrShsAACWOHz4sKZMmRI4vvZsTEFBgcrKytTQ0KDNmzfr/Pnz8ng8mjJlirZt2yaXy2VVyACAKEZhAwCwRHZ2towxXZ7fs2dPBKMBANgdz9gAYXDgwAHl5+crMTFRDodDr776atD5wsJCORyOoDZ+/HhrggUAAOgHKGyAMOjo6NDo0aO1YcOGLsdMmzZNZ86cCbTdu3dHMEIAAID+hVvRgDDIy8tTXl5et2OcTqfcbneEIgIAAOjfmLEBLFJdXa34+Hilp6dr/vz5amlp6Xa83+9XW1tbUAMA9G893dpsjJHX61ViYqJiYmKUnZ2tY8eOWRMsYDEKG8ACeXl5euWVV7Rv3z6tXbtWdXV1mjp1qvx+f5ev8fl8io2NDTR2UweA/q+nW5vXrFmjdevWacOGDaqrq5Pb7VZOTo7a29sjHClgPW5FAywwd+7cwL8zMjKUmZmplJQU7dq1S7Nnz77ha0pKSgLL4UpSW1sbxQ0A9HPd3dpsjNH69eu1YsWKwH87Nm3apISEBFVUVGjBggWRDBWwHDM2QBTweDxKSUnRiRMnuhzjdDo1dOjQoAYAuH01NjaqublZubm5gT6n06nJkyfr4MGDXb6OW5vRX1HYAFHg7NmzampqksfjsToUAIBNNDc3S5ISEhKC+hMSEgLnboRbm9FfUdgAYXDhwgUdOXJER44ckXT1W7UjR47o9OnTunDhgpYuXapDhw7p5MmTqq6uVn5+voYPH65Zs2ZZGzgAwHYcDkfQsTGmU9/1SkpK1NraGmhNTU3hDhGICJ6xAcLg8OHDmjJlSuD42rMxBQUFKisrU0NDgzZv3qzz58/L4/FoypQp2rZtm1wul1UhAwBs5tqWAc3NzUEz/i0tLZ1mca7ndDrldDrDHh8QaRQ2QBhkZ2fLGNPl+T179kQwGgBAf5Samiq3262qqiqNGTNGknTp0iXV1NTo+9//vsXRAZHX51vRWE8dAAAgMrq7tdnhcGjJkiUqLS3Vjh079Otf/1qFhYUaPHiw5s2bZ23ggAX6XNiwnjoAAEBkHD58WGPGjAnMyBQXF2vMmDH6zne+I0latmyZlixZooULFyozM1Pvvfee9u7dy63NuC31+VY01lMHAACIjJ5ubXY4HPJ6vfJ6vZELCohSIV0V7WbXUwcAAACAWxHSxQO6W0/91KlTN3yN3++X3+8PHLNJFAAAAIC+CsuqaH1ZT93n82nlypXhCCOq3P/crpBc5+Tq6SG5DgAAANCfhPRWtOvXU79ed+ups0kUAAAAgFsV0sLm+vXUr7m2nnpWVtYNX+N0OjV06NCgBgAAAAB90edb0S5cuKB33303cHxtPfW4uDjdd999gfXU09LSlJaWptLSUtZTBwAAABBWfS5sDh8+rClTpgSOi4uLJUkFBQX68Y9/rGXLlunixYtauHChzp07p3HjxrGeOgAAAICw6nNhw3rqAAAAAKJNSJ+xAQAAAAArUNgAAAAAsD0KGwAAAAC2R2EDAAAAwPYobAAAAADYHoUNAAAAANujsAEAAABgexQ2AAAAAGyPwgYAYIkDBw4oPz9fiYmJcjgcevXVV4POG2Pk9XqVmJiomJgYZWdn69ixY9YECwCIehQ2AABLdHR0aPTo0dqwYcMNz69Zs0br1q3Thg0bVFdXJ7fbrZycHLW3t0c4UgCAHQy0OgAAwO0pLy9PeXl5NzxnjNH69eu1YsUKzZ49W5K0adMmJSQkqKKiQgsWLIhkqAAAG2DGBgAQdRobG9Xc3Kzc3NxAn9Pp1OTJk3Xw4EELIwMARCtmbAAAUae5uVmSlJCQENSfkJCgU6dOdfk6v98vv98fOG5rawtPgACAqMOMDQAgajkcjqBjY0ynvuv5fD7FxsYGWnJycrhDBABECQobAEDUcbvdkv44c3NNS0tLp1mc65WUlKi1tTXQmpqawhonACB6UNgAAKJOamqq3G63qqqqAn2XLl1STU2NsrKyunyd0+nU0KFDgxoA4PZAYQOEAftzAD27cOGCjhw5oiNHjki6umDAkSNHdPr0aTkcDi1ZskSlpaXasWOHfv3rX6uwsFCDBw/WvHnzrA0cABCVKGyAMGB/DqBnhw8f1pgxYzRmzBhJUnFxscaMGaPvfOc7kqRly5ZpyZIlWrhwoTIzM/Xee+9p7969crlcVoYNAIhSrIoGhAH7cwA9y87OljGmy/MOh0Ner1derzdyQQEAbIsZGyDCbnZ/Dr/fr7a2tqAGAACAqyhsgAjrbn+OT68AdT2WsQUAAOgat6IBFunr/hwlJSUqLi4OHLe1tVHcADZy/3O7Qn7Nk6unh/yaAGBXFDZAhF2/P4fH4wn097Q/h9PplNPpDHt8AAAAdsStaECE3ez+HAAAAOgaMzZAGFy4cEHvvvtu4Pja/hxxcXG67777AvtzpKWlKS0tTaWlpezPAQAAcAsobIAwOHz4sKZMmRI4vvZsTEFBgX784x9r2bJlunjxohYuXKhz585p3Lhx7M8BAABwCyhsgDBgfw4AAIDI4hkbAAAAALZHYQMAAADA9ihsAAAAANgehQ0AAAAA26OwAQAAAGB7FDYAAAAAbI/CBgAAAIDtUdgAAAAAsD0KGwAAAAC2R2EDAABgU16vVw6HI6i53W6rwwIsMdDqAAAAAHDzHn74Yb3xxhuB4wEDBlgYDWAdChsAAPqR+5/bFfJrnlw9PeTXROgMHDiQWRpA3IoGAABgaydOnFBiYqJSU1P11a9+Vb/73e+sDgmwBDM2AAAANjVu3Dht3rxZ6enpev/99/Xiiy8qKytLx44d07Bhw274Gr/fL7/fHzhua2uLVLhAWIV8xoaH2AAAACIjLy9Pc+bM0SOPPKInnnhCu3ZdvRVx06ZNXb7G5/MpNjY20JKTkyMVLhBWYbkV7eGHH9aZM2cCraGhIRw/BgAAANe5++679cgjj+jEiRNdjikpKVFra2ugNTU1RTBCIHzCcisaD7EBiDaheqCah6gBRDO/36//+q//0uOPP97lGKfTKafTGcGogMgIy4xNXx5i8/v9amtrC2oAAADo2dKlS1VTU6PGxkb94he/0J/92Z+pra1NBQUFVocGRFzIC5trD7Ht2bNHP/zhD9Xc3KysrCydPXv2huO5zxMAAODm/P73v9df/MVfaMSIEZo9e7YGDRqk2tpapaSkWB0aEHEhvxUtLy8v8O9HHnlEEyZM0Oc//3lt2rRJxcXFncaXlJQE9be1tVHcAAAA9MLWrVutDgGIGmFf7rmnh9i4zxMAAADArQr7Bp3XHmLzeDzh/lEAAAAAblMhL2x4iA0AAABApIW8sOEhNgBAKLDhMwCgL0L+jA0PsQH9H3vCIFIefvhhvfHGG4HjAQMGWBgNACCahX3xAAAAbhYbPgMAeivsiwcAAHCz+rLhMwDg9kZhA1iAZweAnvV1w2fp6kqcbW1tQQ0AcHvgVjTAIjw7AHSvrxs+S5LP59PKlSsjFSIAIIowYwNY5NqzA9faZz7zGatDAqJaTxs+S1JJSYlaW1sDrampKYIRAgCsRGEDWKSvzw5wiw1ud73Z8NnpdGro0KFBDQBwe6CwASxwM88O+Hw+xcbGBlpycnIEIwYijw2fAQB9QWEDWCAvL09z5szRI488oieeeEK7dl3dF2bTpk1dvoZbbHC7YcNnAEBfsHgAEAV68+yA0+mU0+mMYFSAtdjwGQDQF8zYAFGgN88OAAAAoGsUNoAFeHYAAAAgtLgVDbDAtWcHPvzwQ33mM5/R+PHjeXYAAADgFlDYABbg2QEAAIDQ4lY0AAAAALZHYQMAAADA9ihsAAAAANgehQ0AAAAA26OwAQAAAGB7FDYAAAAAbI/CBgAAAIDtUdgAAAAAsD0KGwAAAAC2N9DqAAAAABDd7n9uV0iuc3L19JBcB7gRZmwAAAAA2J4tZ2zC+a0B30gAAAAA9sOMDQAAAADbo7ABAAAAYHsUNgAAAABsj8IGAAAAgO3ZcvEAAP0Ti3cAAICbxYwNAAAAANujsAEAAABgexQ2AAAAAGyPwgYAAACA7VHYAAAAALA9ChsAAAAAtsdyzwCA21aolhj/NJYcB4DIo7AB+in2hAEAALcTbkUDAAAAYHsUNgAAAABsL2yFzQ9+8AOlpqbqrrvu0qOPPqo333wzXD8KsC3yBOgZeQL0jDwBwlTYbNu2TUuWLNGKFSv0q1/9So8//rjy8vJ0+vTpcPw4wJbIE6Bn5AnQM/IEuCoshc26dev0V3/1V/rrv/5rPfTQQ1q/fr2Sk5NVVlYWjh8H2BJ5AvSMPAF6Rp4AV4V8VbRLly6pvr5ezz33XFB/bm6uDh482Gm83++X3+8PHLe2tkqS2trauvwZn/g/CkmsN/oZ4bo2MQezY8yfPmeMuenr9zVPpL7nCr+/YMQc/uve6NztkiefFs7fZ7T8nEj+rP74nq7vj/Y8kez5v0fEHP7rhvva1/f3Kk9MiL333ntGkvnP//zPoP5Vq1aZ9PT0TuNfeOEFI4lGs11ramqKWJ6QKzS7NvKERuu5kSc0Ws+tN3kStn1sHA5H0LExplOfJJWUlKi4uDhw/Mknn+h//ud/NGzYsBuOt1pbW5uSk5PV1NSkoUOHWh1OrxBzaBlj1N7ersTExFu+Vm/zRLJXrkTz768rxBxa/S1Povmzvlm8J+v1tzwJB7v9TiViDrW+5EnIC5vhw4drwIABam5uDupvaWlRQkJCp/FOp1NOpzOo75577gl1WCE3dOjQqPvF94SYQyc2NvaWXt/XPJHsmSvR+vvrDjGHTn/Mk2j9rG8F78la/TFPwsFOv9NriDl0epsnIV88YNCgQXr00UdVVVUV1F9VVaWsrKxQ/zjAlsgToGfkCdAz8gT4o7DcilZcXKynnnpKmZmZmjBhgjZu3KjTp0/r6aefDsePA2yJPAF6Rp4APSNPgKvCUtjMnTtXZ8+e1Xe/+12dOXNGGRkZ2r17t1JSUsLx4yLK6XTqhRde6DSFG82IOTqRJ9GFmKNTtORJf/yseU/9R7TkSTjY8XdKzNZxGHMLawwCAAAAQBQIywadAAAAABBJFDYAAAAAbI/CBgAAAIDtUdgAAAAAsD0Km17w+XwaO3asXC6X4uPjNXPmTB0/ftzqsPrE5/PJ4XBoyZIlVofSrffee09f//rXNWzYMA0ePFhf+MIXVF9fb3VY6AXyJHLIk8jpD3/X3bHL33xPyIn+x+65Z6fc6k/5Q2HTCzU1NSoqKlJtba2qqqp0+fJl5ebmqqOjw+rQeqWurk4bN27UqFGjrA6lW+fOndNjjz2mO++8U6+//rreeecdrV27Nup3Q8ZV5ElkkCeRZfe/6+7Y5W++J+RE/2Tn3LNTbvW7/DHos5aWFiPJ1NTUWB1Kj9rb201aWpqpqqoykydPNt/+9retDqlLzz77rJk4caLVYSBEyJPwIE+sZae/6+7Y6W++J+TE7cEuuWe33Opv+cOMzU1obW2VJMXFxVkcSc+Kioo0ffp0PfHEE1aH0qOdO3cqMzNTTz75pOLj4zVmzBj98Ic/tDos3CTyJDzIE2vZ6e+6O3b6m+8JOXF7sEvu2S23+lv+UNj0kTFGxcXFmjhxojIyMqwOp1tbt25VfX29fD6f1aH0yu9+9zuVlZUpLS1Ne/bs0dNPP61nnnlGmzdvtjo09BF5Ej7kiXXs9HfdHbv9zfeEnOj/7JJ7dsyt/pY/A60OwG4WLVqko0eP6q233rI6lG41NTXp29/+tvbu3au77rrL6nB65ZNPPlFmZqZKS0slSWPGjNGxY8dUVlamv/zLv7Q4OvQFeRI+5Il17PJ33R07/s33hJzo/+yQe3bNrf6WP8zY9MHixYu1c+dO7d+/X0lJSVaH0636+nq1tLTo0Ucf1cCBAzVw4EDV1NTon//5nzVw4EBduXLF6hA78Xg8GjlyZFDfQw89pNOnT1sUEW4GeRJe5Ik17PR33R07/s33hJzo3+ySe3bNrf6WP8zY9IIxRosXL9aOHTtUXV2t1NRUq0Pq0Ze+9CU1NDQE9X3jG9/Qgw8+qGeffVYDBgywKLKuPfbYY52Wcvztb3+rlJQUiyJCX5AnkUGeRJYd/667Y8e/+Z6QE/2T3XLPrrnV3/KHwqYXioqKVFFRoddee00ul0vNzc2SpNjYWMXExFgc3Y25XK5O96HefffdGjZsWNTen/q3f/u3ysrKUmlpqf78z/9cb7/9tjZu3KiNGzdaHRp6gTyJDPIksuz4d90dO/7N94Sc6J/slnt2za1+lz/WLchmH5Ju2MrLy60OrU/ssOzgz3/+c5ORkWGcTqd58MEHzcaNG60OCb1EnkQOeRI5/eXvujt2+JvvCTnR//SH3LNLbvWn/HEYY0zkyigAAAAACD0WDwAAAABgexQ2AAAAAGyPwgYAAACA7VHYAAAAALA9ChsAAAAAtkdhAwAAAMD2KGwAAAAA2B6FDQAAAADbo7ABAAAAYHsUNgAAAABsj8IGAAAAgO1R2AAAAACwvf8ffSSIzuIeljgAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1000x800 with 8 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자기이해 그래프 (know1~8)\n",
    "\n",
    "# 그래프를 3x3으로 나누기 위한 subplot 설정\n",
    "fig, axs = plt.subplots(2, 4, figsize=(10, 8))\n",
    "\n",
    "know1_freq = df['know1'].value_counts().sort_index()\n",
    "axs[0,0].bar(know1_freq.index, know1_freq.values)\n",
    "axs[0,0].set_title(\"know1\")\n",
    "\n",
    "know2_freq = df['know2'].value_counts().sort_index()\n",
    "axs[0,1].bar(know2_freq.index, know2_freq.values)\n",
    "axs[0,1].set_title(\"know2\")\n",
    "\n",
    "know3_freq = df['know3'].value_counts().sort_index()\n",
    "axs[0,2].bar(know3_freq.index, know3_freq.values)\n",
    "axs[0,2].set_title(\"know3\")\n",
    "\n",
    "know4_freq = df['know4'].value_counts().sort_index()\n",
    "axs[0,3].bar(know4_freq.index, know4_freq.values)\n",
    "axs[0,3].set_title(\"know4\")\n",
    "\n",
    "know5_freq = df['know5'].value_counts().sort_index()\n",
    "axs[1,0].bar(know5_freq.index, know5_freq.values)\n",
    "axs[1,0].set_title(\"know5\")\n",
    "\n",
    "know6_freq = df['know6'].value_counts().sort_index()\n",
    "axs[1,1].bar(know6_freq.index, know6_freq.values)\n",
    "axs[1,1].set_title(\"know6\")\n",
    "\n",
    "know7_freq = df['know7'].value_counts().sort_index()\n",
    "axs[1,2].bar(know7_freq.index, know7_freq.values)\n",
    "axs[1,2].set_title(\"know7\")\n",
    "\n",
    "know8_freq = df['know8'].value_counts().sort_index()\n",
    "axs[1,3].bar(know8_freq.index, know8_freq.values)\n",
    "axs[1,3].set_title(\"know8\")\n",
    "\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "020d98bb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자기이해 평균 그래프 (knowAvg)\n",
    "\n",
    "ax = df['knowAvg'].plot(kind='hist', xlim=[1,7], title='Self-Understanding Average')\n",
    "mean_val = df['knowAvg'].mean()\n",
    "plt.axvline(x=mean_val, color='#FC6700', linestyle='--', linewidth=2)\n",
    "ax.set_ylabel('frequency')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "id": "ea61d62e",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'relatnAvg')"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자기 돌봄 실천 양상 d. 인간관계 (relatn)\n",
    "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n",
    "\n",
    "relatn1_freq = df['relatn1'].value_counts().sort_index()\n",
    "axs[0,0].bar(relatn1_freq.index, relatn1_freq.values)\n",
    "axs[0,0].set_title(\"relatn1\")\n",
    "\n",
    "relatn2_freq = df['relatn2'].value_counts().sort_index()\n",
    "axs[0,1].bar(relatn2_freq.index, relatn2_freq.values)\n",
    "axs[0,1].set_title(\"relatn2\")\n",
    "\n",
    "relatn3_freq = df['relatn3'].value_counts().sort_index()\n",
    "axs[1,0].bar(relatn3_freq.index, relatn3_freq.values)\n",
    "axs[1,0].set_title('relatn3')\n",
    "\n",
    "relatnAvg_freq = df['relatnAvg'].value_counts().sort_index()\n",
    "axs[1,1].bar(relatnAvg_freq.index, relatnAvg_freq.values)\n",
    "axs[1,1].set_title('relatnAvg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "d06fe36c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'improvAvg')"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자기 돌봄 실천 양상 e. 자기계발 (improv)\n",
    "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n",
    "\n",
    "improv1_freq = df['improv1'].value_counts().sort_index()\n",
    "axs[0,0].bar(improv1_freq.index, improv1_freq.values)\n",
    "axs[0,0].set_title(\"improv1\")\n",
    "\n",
    "improv2_freq = df['improv2'].value_counts().sort_index()\n",
    "axs[0,1].bar(improv2_freq.index, improv2_freq.values)\n",
    "axs[0,1].set_title(\"improv2\")\n",
    "\n",
    "improv3_freq = df['improv3'].value_counts().sort_index()\n",
    "axs[1,0].bar(improv3_freq.index, improv3_freq.values)\n",
    "axs[1,0].set_title('improv3')\n",
    "\n",
    "improvAvg_freq = df['improvAvg'].value_counts().sort_index()\n",
    "axs[1,1].bar(improvAvg_freq.index, improvAvg_freq.values)\n",
    "axs[1,1].set_title('improvAvg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "cdb366f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'leisrAvg')"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자기 돌봄 실천 양상 f. 여가 (leisr)\n",
    "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n",
    "\n",
    "leisr1_freq = df['leisr1'].value_counts().sort_index()\n",
    "axs[0,0].bar(leisr1_freq.index, leisr1_freq.values)\n",
    "axs[0,0].set_title(\"leisr1\")\n",
    "\n",
    "leisr2_freq = df['leisr2'].value_counts().sort_index()\n",
    "axs[0,1].bar(leisr2_freq.index, leisr2_freq.values)\n",
    "axs[0,1].set_title(\"leisr2\")\n",
    "\n",
    "leisr3_freq = df['leisr3'].value_counts().sort_index()\n",
    "axs[1,0].bar(leisr3_freq.index, leisr3_freq.values)\n",
    "axs[1,0].set_title('leisr3')\n",
    "\n",
    "leisrAvg_freq = df['leisrAvg'].value_counts().sort_index()\n",
    "axs[1,1].bar(leisrAvg_freq.index, leisrAvg_freq.values)\n",
    "axs[1,1].set_title('leisrAvg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "e3a7ef2c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(0.0, 20.0)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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srCzl5eWpd+/eCgsL0yeffKJFixYpMjJSf//73xUaGhroEgEAAIIOj8kBQSAiIkKZmZlasmSJTp48qRYtWig5OVnp6ekEIQAAgFrizhAAAAAAI3n16eb09HT17dtX4eHhio6O1k033VTp134ty9KCBQsUHx+vsLAwDRkyxPkB86qsW7dOXbt2ld1uV9euXbV+/XrvjgQAYCR6EwCgtrwKQ7m5uZoxY4Z27typrKwsnT9/XiNHjtTp06edY5555hk999xzWrp0qXbv3q3Y2FiNGDFCJ0+e9LjfvLw8TZw4UZMnT9Ynn3yiyZMn6/bbb9euXbtqf2QAACPQmwAAtXVJj8n9+9//VnR0tHJzczVo0CBZlqX4+HjNmjVLc+fOlSSVlZUpJiZGTz/9tO6//363+5k4caIcDofeffdd57bRo0erWbNmWrNmTW3LAwAYiN4EAKipS/oChdLSUklSVFSUJKmgoEAlJSUaOXKkc4zdbtfgwYO1Y8cOjw0nLy9Ps2fPdtk2atQolx9yvFhZWZnKysqc6+Xl5frPf/6j5s2by2az1faQAABesixLJ0+eVHx8fJ34balA9Sb6EgDUHTXtTbUOQ5ZlKTU1Vdddd53zV5VLSkokSTExMS5jY2JidPToUY/7KikpcTunYn/upKena+HChbUtHwDgY0VFRWrVqlVAawhkb6IvAUDdU11vqnUYeuihh/T3v/9d27dvr/TaxVfALMuq9qqYt3PS0tJcfg25tLRUbdq0UVFRkSIiImpyCAAAH3A4HGrdurXCw8MDXUpAexN9CQDqjpr2plqFoYcfflibNm3Stm3bXJJWbGyspB+upsXFxTm3Hz9+vNLVtR+LjY2tdKWtujl2u112u73S9oiICJoOAARAoB8FC3Rvoi8BQN1TXW/y6uFuy7L00EMP6e2339aWLVvUrl07l9fbtWun2NhYZWVlObedPXtWubm5SkpK8rjfxMRElzmSlJmZWeUcAAAkehMAoPa8ujM0Y8YMvfHGG9q4caPCw8OdV8wiIyMVFhYmm82mWbNm6amnnlLHjh3VsWNHPfXUU2rcuLHuuusu536mTJmili1bKj09XZI0c+ZMDRo0SE8//bRuvPFGbdy4UdnZ2W4fcwAA4MfoTQCA2vIqDC1fvlySNGTIEJftGRkZmjp1qiTp0Ucf1Xfffafp06fr22+/Vb9+/ZSZmenyvF5hYaHLtzokJSVp7dq1evzxxzV//nx16NBBb775pvr161fLwwIAmILeBACorUv6naG6xOFwKDIyUqWlpTybDQA/Ic6/7vF3AYDAqek5OPA/CAEAAAAAAUAYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRQgJdAAAAAOqXtvM2B7qEah1ZNDbQJaAO4M4QAAAAACMRhgAAAAAYyeswtG3bNo0fP17x8fGy2WzasGGDy+s2m83t8tvf/tbjPleuXOl2zvfff+/1AQEAzEJfAgDUltdh6PTp0+rZs6eWLl3q9vXi4mKX5dVXX5XNZtOECROq3G9ERESluaGhod6WBwAwDH0JAFBbXn+BQnJyspKTkz2+Hhsb67K+ceNGDR06VO3bt69yvzabrdJcAACqQ18CANSWXz8zdOzYMW3evFk/+9nPqh176tQpJSQkqFWrVho3bpw+/vhjf5YGADAQfQkA8GN+DUOvvfaawsPDdcstt1Q5rkuXLlq5cqU2bdqkNWvWKDQ0VAMGDFB+fr7HOWVlZXI4HC4LAABVoS8BAH7Mr2Ho1Vdf1d13313tM9b9+/fXpEmT1LNnTw0cOFBvvfWWOnXqpBdeeMHjnPT0dEVGRjqX1q1b+7p8AEA9Q18CAPyY38LQhx9+qEOHDmnatGlez23QoIH69u1b5RW4tLQ0lZaWOpeioqJLKRcAUM/RlwAAF/P6CxRqasWKFerdu7d69uzp9VzLsrR//3716NHD4xi73S673X4pJQIADEJfAgBczOswdOrUKR0+fNi5XlBQoP379ysqKkpt2rSRJDkcDv35z3/W4sWL3e5jypQpatmypdLT0yVJCxcuVP/+/dWxY0c5HA49//zz2r9/v1588cXaHBMAwCD0JQBAbXkdhvbs2aOhQ4c611NTUyVJKSkpWrlypSRp7dq1sixLd955p9t9FBYWqkGD/z6hd+LECf385z9XSUmJIiMj1atXL23btk3XXnutt+UBAAxDXwIA1JbNsiwr0EX4gsPhUGRkpEpLSxURERHocgDAGJx/3ePvApO1nbc50CVU68iisYEuAX5U03OwX79NDgAAAADqKsIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEheh6Ft27Zp/Pjxio+Pl81m04YNG1xenzp1qmw2m8vSv3//ave7bt06de3aVXa7XV27dtX69eu9LQ0AYCD6EgCgtrwOQ6dPn1bPnj21dOlSj2NGjx6t4uJi5/LOO+9Uuc+8vDxNnDhRkydP1ieffKLJkyfr9ttv165du7wtDwBgGPoSAKC2QrydkJycrOTk5CrH2O12xcbG1nifS5Ys0YgRI5SWliZJSktLU25urpYsWaI1a9Z4WyIAwCD0JQBAbfnlM0Nbt25VdHS0OnXqpPvuu0/Hjx+vcnxeXp5Gjhzpsm3UqFHasWOHxzllZWVyOBwuCwAA7tCXAADu+DwMJScn609/+pO2bNmixYsXa/fu3br++utVVlbmcU5JSYliYmJctsXExKikpMTjnPT0dEVGRjqX1q1b++wYAAD1B30JAOCJ14/JVWfixInO/929e3f16dNHCQkJ2rx5s2655RaP82w2m8u6ZVmVtv1YWlqaUlNTnesOh4PGAwCohL4EAPDE52HoYnFxcUpISFB+fr7HMbGxsZWuth0/frzSVbkfs9vtstvtPqsTAGAG+hIAoILff2fom2++UVFRkeLi4jyOSUxMVFZWlsu2zMxMJSUl+bs8AIBh6EsAgApe3xk6deqUDh8+7FwvKCjQ/v37FRUVpaioKC1YsEATJkxQXFycjhw5oscee0wtWrTQzTff7JwzZcoUtWzZUunp6ZKkmTNnatCgQXr66ad14403auPGjcrOztb27dt9cIgAgPqMvgQAqC2vw9CePXs0dOhQ53rF89EpKSlavny5Pv30U61atUonTpxQXFychg4dqjfffFPh4eHOOYWFhWrQ4L83pZKSkrR27Vo9/vjjmj9/vjp06KA333xT/fr1u5RjAwAYgL4EAKgtm2VZVqCL8AWHw6HIyEiVlpYqIiIi0OUAgDE4/7rH3wUmaztvc6BLqNaRRWMDXQL8qKbnYL9/ZggAAAAA6iLCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgpJBAFwDAs7r4C978YjcAoD6oiz32UtCfa4c7QwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjOR1GNq2bZvGjx+v+Ph42Ww2bdiwwfnauXPnNHfuXPXo0UNNmjRRfHy8pkyZoq+++qrKfa5cuVI2m63S8v3333t9QAAAs9CXAAC15XUYOn36tHr27KmlS5dWeu3MmTPat2+f5s+fr3379untt9/WP//5T91www3V7jciIkLFxcUuS2hoqLflAQAMQ18CANRWiLcTkpOTlZyc7Pa1yMhIZWVluWx74YUXdO2116qwsFBt2rTxuF+bzabY2FhvywEAGI6+BACoLb9/Zqi0tFQ2m01NmzatctypU6eUkJCgVq1aady4cfr444/9XRoAwED0JQBABb+Goe+//17z5s3TXXfdpYiICI/junTpopUrV2rTpk1as2aNQkNDNWDAAOXn53ucU1ZWJofD4bIAAFAV+hIA4Mf8FobOnTunO+64Q+Xl5Vq2bFmVY/v3769JkyapZ8+eGjhwoN566y116tRJL7zwgsc56enpioyMdC6tW7f29SEAAOoR+hIA4GJ+CUPnzp3T7bffroKCAmVlZVV59c1tUQ0aqG/fvlVegUtLS1NpaalzKSoqutSyAQD1FH0JAOCO11+gUJ2KhpOfn6+cnBw1b97c631YlqX9+/erR48eHsfY7XbZ7fZLKRUAYAD6EgDAE6/D0KlTp3T48GHnekFBgfbv36+oqCjFx8fr1ltv1b59+/TXv/5VFy5cUElJiSQpKipKjRo1kiRNmTJFLVu2VHp6uiRp4cKF6t+/vzp27CiHw6Hnn39e+/fv14svvuiLYwQA1GP0JQBAbXkdhvbs2aOhQ4c611NTUyVJKSkpWrBggTZt2iRJuuaaa1zm5eTkaMiQIZKkwsJCNWjw3yf0Tpw4oZ///OcqKSlRZGSkevXqpW3btunaa6/1tjwAgGHoSwCA2rJZlmUFughfcDgcioyMVGlpqdfPggN1Vdt5mwNdQiVHFo0NdAmoYzj/usffBSari/2rvqM/u6rpOdjvvzMEAAAAAHURYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwUkigCwAQXNrO2+zX/R9ZNNav+wcAAKjAnSEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMJLXYWjbtm0aP3684uPjZbPZtGHDBpfXLcvSggULFB8fr7CwMA0ZMkQHDhyodr/r1q1T165dZbfb1bVrV61fv97b0gAABqIvAQBqy+swdPr0afXs2VNLly51+/ozzzyj5557TkuXLtXu3bsVGxurESNG6OTJkx73mZeXp4kTJ2ry5Mn65JNPNHnyZN1+++3atWuXt+UBAAxDXwIA1JbNsiyr1pNtNq1fv1433XSTpB+uvsXHx2vWrFmaO3euJKmsrEwxMTF6+umndf/997vdz8SJE+VwOPTuu+86t40ePVrNmjXTmjVralSLw+FQZGSkSktLFRERUdtDAuqUtvM2B7qEn9yRRWMDXQK8VJfOv/QloG4wsX8FGv3TVU3PwT79zFBBQYFKSko0cuRI5za73a7Bgwdrx44dHufl5eW5zJGkUaNGVTmnrKxMDofDZQEA4MfoSwCAqoT4cmclJSWSpJiYGJftMTExOnr0aJXz3M2p2J876enpWrhw4SVUC6Au8vZqIlfCUBX6EgCgKn75NjmbzeaybllWpW2XOictLU2lpaXOpaioqPYFAwDqNfoSAMAdn94Zio2NlfTDFbW4uDjn9uPHj1e6wnbxvIuvtlU3x263y263X2LFAID6jL4EAKiKT+8MtWvXTrGxscrKynJuO3v2rHJzc5WUlORxXmJiosscScrMzKxyDgAA1aEvAQCq4vWdoVOnTunw4cPO9YKCAu3fv19RUVFq06aNZs2apaeeekodO3ZUx44d9dRTT6lx48a66667nHOmTJmili1bKj09XZI0c+ZMDRo0SE8//bRuvPFGbdy4UdnZ2dq+fbsPDhEAUJ/RlwAAteV1GNqzZ4+GDh3qXE9NTZUkpaSkaOXKlXr00Uf13Xffafr06fr222/Vr18/ZWZmKjw83DmnsLBQDRr896ZUUlKS1q5dq8cff1zz589Xhw4d9Oabb6pfv36XcmwAAAPQlwAAtXVJvzNUl/B7DqiP+J2G6vFtcoHH+dc9/i4wGf3rp0c/dBWQ3xkCAAAAgGBBGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjBQS6AIAAAAA/HTaztsc6BJq5MiisX5/D+4MAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABgpJNAFAMClaDtvs9/2fWTRWL/tGwAABB53hgAAAAAYiTAEAAAAwEg+D0Nt27aVzWartMyYMcPt+K1bt7od//nnn/u6NACAoehNAAB3fP6Zod27d+vChQvO9X/84x8aMWKEbrvttirnHTp0SBEREc71K664wtelAQAMRW8CALjj8zB0caNYtGiROnTooMGDB1c5Lzo6Wk2bNvV1OQAA0JsAAG759TNDZ8+e1erVq3XvvffKZrNVObZXr16Ki4vTsGHDlJOT48+yAAAGozcBACr49au1N2zYoBMnTmjq1Kkex8TFxemVV15R7969VVZWptdff13Dhg3T1q1bNWjQII/zysrKVFZW5lx3OBy+LB0AUE/5qzfRlwAg+Pg1DK1YsULJycmKj4/3OKZz587q3Lmzcz0xMVFFRUV69tlnqwxD6enpWrhwoU/rBQDUf/7qTfQlAAg+fntM7ujRo8rOzta0adO8ntu/f3/l5+dXOSYtLU2lpaXOpaioqLalAgAM4c/eRF8CgODjtztDGRkZio6O1tix3v+C+8cff6y4uLgqx9jtdtnt9tqWBwAwkD97E30JAIKPX8JQeXm5MjIylJKSopAQ17dIS0vTl19+qVWrVkmSlixZorZt26pbt27OD7WuW7dO69at80dpAABD0ZsAABfzSxjKzs5WYWGh7r333kqvFRcXq7Cw0Ll+9uxZzZkzR19++aXCwsLUrVs3bd68WWPGjPFHaQAAQ9GbAAAXs1mWZQW6CF9wOByKjIxUaWmpyw/kAcGs7bzNgS7BaEcWef8olYk4/7rH3wUmo3/99LzpWcHy3+dS+nBNz8F+/Z0hAAAAAKir/PrV2gAAAPhpBMvVfvgH//1rhztDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwUkigCwCAuqrtvM1ejT+yaKyfKgFQV3l7ngBQt3BnCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACM5PMwtGDBAtlsNpclNja2yjm5ubnq3bu3QkND1b59e7300ku+LgsAYDB6EwDAnRB/7LRbt27Kzs52rl922WUexxYUFGjMmDG67777tHr1av3tb3/T9OnTdcUVV2jChAn+KA8AYCB6EwDgYn4JQyEhIdVecavw0ksvqU2bNlqyZIkk6aqrrtKePXv07LPP0nAAAD5DbwIAXMwvnxnKz89XfHy82rVrpzvuuENffPGFx7F5eXkaOXKky7ZRo0Zpz549OnfunMd5ZWVlcjgcLgsAAJ74uzfRlwAg+Pj8zlC/fv20atUqderUSceOHdOvf/1rJSUl6cCBA2revHml8SUlJYqJiXHZFhMTo/Pnz+vrr79WXFyc2/dJT0/XwoULfV0+fKDtvM2BLuEnd2TR2ECXgDrA23/7/Lv56fwUvYm+BADBx+d3hpKTkzVhwgT16NFDw4cP1+bNP/yfg9dee83jHJvN5rJuWZbb7T+Wlpam0tJS51JUVOSD6gEA9dFP0ZvoSwAQfPzymaEfa9KkiXr06KH8/Hy3r8fGxqqkpMRl2/HjxxUSEuL2al0Fu90uu93u01oBAGbwR2+iLwFA8PH77wyVlZXp4MGDHh93S0xMVFZWlsu2zMxM9enTRw0bNvR3eQAAA9GbAACSH8LQnDlzlJubq4KCAu3atUu33nqrHA6HUlJSJP3wGMGUKVOc4x944AEdPXpUqampOnjwoF599VWtWLFCc+bM8XVpAABD0ZsAAO74/DG5f/3rX7rzzjv19ddf64orrlD//v21c+dOJSQkSJKKi4tVWFjoHN+uXTu98847mj17tl588UXFx8fr+eef56tLAQA+Q28CALjj8zC0du3aKl9fuXJlpW2DBw/Wvn37fF0KAACS6E0AAPf8/pkhAAAAAKiLCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMFJIoAsATNJ23uZAl4A6pC79eziyaGygSwAA4CfHnSEAAAAARiIMAQAAADCSz8NQenq6+vbtq/DwcEVHR+umm27SoUOHqpyzdetW2Wy2Ssvnn3/u6/IAAAaiNwEA3PF5GMrNzdWMGTO0c+dOZWVl6fz58xo5cqROnz5d7dxDhw6puLjYuXTs2NHX5QEADERvAgC44/MvUHjvvfdc1jMyMhQdHa29e/dq0KBBVc6Njo5W06ZNfV0SAMBw9CYAgDt+/8xQaWmpJCkqKqrasb169VJcXJyGDRumnJwcf5cGADAUvQkAIPn5q7Uty1Jqaqquu+46de/e3eO4uLg4vfLKK+rdu7fKysr0+uuva9iwYdq6davHK3ZlZWUqKytzrjscDp/XDwCof/zVm+hLABB8/BqGHnroIf3973/X9u3bqxzXuXNnde7c2bmemJiooqIiPfvssx7DUHp6uhYuXOjTegEA9Z+/ehN9CQCCj98ek3v44Ye1adMm5eTkqFWrVl7P79+/v/Lz8z2+npaWptLSUudSVFR0KeUCAAzgz95EXwKA4OPzO0OWZenhhx/W+vXrtXXrVrVr165W+/n4448VFxfn8XW73S673V7bMgEABvkpehN9CQCCj8/D0IwZM/TGG29o48aNCg8PV0lJiSQpMjJSYWFhkn64evbll19q1apVkqQlS5aobdu26tatm86ePavVq1dr3bp1Wrduna/LAwAYiN4EAHDH52Fo+fLlkqQhQ4a4bM/IyNDUqVMlScXFxSosLHS+dvbsWc2ZM0dffvmlwsLC1K1bN23evFljxozxdXkAAAPRmwAA7vjlMbnqrFy50mX90Ucf1aOPPurrUgAAkERvAgC45/ffGQIAAACAusivX60dbNrO2xzoEio5smhsoEtADdTFfzsAUBcFw/mS3guYgztDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjEQYAgAAAGAkwhAAAAAAIxGGAAAAABiJMAQAAADASIQhAAAAAEYiDAEAAAAwUkigC0DV2s7b7Nf9H1k0NuA1AADc4/wbGPzdAXNwZwgAAACAkQhDAAAAAIxEGAIAAABgJMIQAAAAACMRhgAAAAAYiTAEAAAAwEiEIQAAAABGIgwBAAAAMBJhCAAAAICRCEMAAAAAjOS3MLRs2TK1a9dOoaGh6t27tz788MMqx+fm5qp3794KDQ1V+/bt9dJLL/mrNACAgehLAICL+SUMvfnmm5o1a5Z+8Ytf6OOPP9bAgQOVnJyswsJCt+MLCgo0ZswYDRw4UB9//LEee+wxPfLII1q3bp0/ygMAGIa+BABwxy9h6LnnntPPfvYzTZs2TVdddZWWLFmi1q1ba/ny5W7Hv/TSS2rTpo2WLFmiq666StOmTdO9996rZ5991h/lAQAMQ18CALgT4usdnj17Vnv37tW8efNcto8cOVI7duxwOycvL08jR4502TZq1CitWLFC586dU8OGDSvNKSsrU1lZmXO9tLRUkuRwOGpde3nZmVrPDVY1+XuZ+HcBTHMp586KuZZl+aocn6IvAUBw+il6k8/D0Ndff60LFy4oJibGZXtMTIxKSkrczikpKXE7/vz58/r6668VFxdXaU56eroWLlxYaXvr1q0voXrzRC4JdAUA6gJfnAtOnjypyMjIS9+Rj9GXACA4/RS9yedhqILNZnNZtyyr0rbqxrvbXiEtLU2pqanO9fLycv3nP/9R8+bNq3yfn4LD4VDr1q1VVFSkiIiIgNbiLWoPDGoPDGr3DcuydPLkScXHxwe0juoEsi+dPHmyzvz38oW69O/PFzieuq2+HY9U/46pLh5PTXuTz8NQixYtdNlll1W62nb8+PFKV9kqxMbGuh0fEhKi5s2bu51jt9tlt9tdtjVt2rT2hftBREREnfkH4S1qDwxqDwxqv3R18Y5QhbrQlyoCVF357+UrHE/dxvHUffXtmOra8dSkN/n8CxQaNWqk3r17Kysry2V7VlaWkpKS3M5JTEysND4zM1N9+vRx+1w2AAA1RV8CAHjil2+TS01N1R//+Ee9+uqrOnjwoGbPnq3CwkI98MADkn54lGDKlCnO8Q888ICOHj2q1NRUHTx4UK+++qpWrFihOXPm+KM8AIBh6EsAAHf88pmhiRMn6ptvvtEvf/lLFRcXq3v37nrnnXeUkJAgSSouLnb5bYd27drpnXfe0ezZs/Xiiy8qPj5ezz//vCZMmOCP8vzObrfrySefrPS4RDCg9sCg9sCgdnMEui/Vt/9eHE/dxvHUffXtmIL5eGxWXf0uVAAAAADwI788JgcAAAAAdR1hCAAAAICRCEMAAAAAjEQYAgAAAGAkwpAPbdu2TePHj1d8fLxsNps2bNgQ6JJqJD09XX379lV4eLiio6N100036dChQ4Euq0aWL1+uq6++2vkjX4mJiXr33XcDXVatpKeny2azadasWYEupUYWLFggm83mssTGxga6rBr78ssvNWnSJDVv3lyNGzfWNddco7179wa6rGq1bdu20t/dZrNpxowZgS4NbgRrX3AnmHuFJ/Wph1ws2HqKO8HeZ9wJ1t7jSX3oSYQhHzp9+rR69uyppUuXBroUr+Tm5mrGjBnauXOnsrKydP78eY0cOVKnT58OdGnVatWqlRYtWqQ9e/Zoz549uv7663XjjTfqwIEDgS7NK7t379Yrr7yiq6++OtCleKVbt24qLi52Lp9++mmgS6qRb7/9VgMGDFDDhg317rvv6rPPPtPixYvVtGnTQJdWrd27d7v8zSt+GPS2224LcGVwJ1j7gjvB3Cs8qS895GLB2lPcCdY+404w9x5P6kVPsuAXkqz169cHuoxaOX78uCXJys3NDXQptdKsWTPrj3/8Y6DLqLGTJ09aHTt2tLKysqzBgwdbM2fODHRJNfLkk09aPXv2DHQZtTJ37lzruuuuC3QZPjFz5kyrQ4cOVnl5eaBLQTWCuS+4E+y9wpNg6yEXC9ae4k4w9xl36lPv8SQYexJ3hlBJaWmpJCkqKirAlXjnwoULWrt2rU6fPq3ExMRAl1NjM2bM0NixYzV8+PBAl+K1/Px8xcfHq127drrjjjv0xRdfBLqkGtm0aZP69Omj2267TdHR0erVq5f+8Ic/BLosr509e1arV6/WvffeK5vNFuhyYJhg7RWeBGsPuVgw9xR3grXPuFNfeo8nwdqTCENwYVmWUlNTdd1116l79+6BLqdGPv30U11++eWy2+164IEHtH79enXt2jXQZdXI2rVrtXfvXqWnpwe6FK/169dPq1at0vvvv68//OEPKikpUVJSkr755ptAl1atL774QsuXL1fHjh31/vvv64EHHtAjjzyiVatWBbo0r2zYsEEnTpzQ1KlTA10KDBOMvcKTYO4hFwvmnuJOMPcZd+pL7/EkaHtSoG9N1VcK0schpk+fbiUkJFhFRUWBLqXGysrKrPz8fGv37t3WvHnzrBYtWlgHDhwIdFnVKiwstKKjo639+/c7twXzIw2nTp2yYmJirMWLFwe6lGo1bNjQSkxMdNn28MMPW/379w9QRbUzcuRIa9y4cYEuAzUUrH3BnWDsFZ4Eaw+5WH3rKe4EU59xp770Hk+CtSdxZwhODz/8sDZt2qScnBy1atUq0OXUWKNGjXTllVeqT58+Sk9PV8+ePfX73/8+0GVVa+/evTp+/Lh69+6tkJAQhYSEKDc3V88//7xCQkJ04cKFQJfolSZNmqhHjx7Kz88PdCnViouLq3Tl96qrrlJhYWGAKvLe0aNHlZ2drWnTpgW6FBgmWHuFJ8HaQy5W33qKO8HUZ9ypD73Hk2DuSSGBLgCBZ1mWHn74Ya1fv15bt25Vu3btAl3SJbEsS2VlZYEuo1rDhg2r9K0499xzj7p06aK5c+fqsssuC1BltVNWVqaDBw9q4MCBgS6lWgMGDKj0lcD//Oc/lZCQEKCKvJeRkaHo6GiNHTs20KXAEPWtV3gSLD3kYvWtp7gTTH3GnfrQezwJ5p5EGPKhU6dO6fDhw871goIC7d+/X1FRUWrTpk0AK6vajBkz9MYbb2jjxo0KDw9XSUmJJCkyMlJhYWEBrq5qjz32mJKTk9W6dWudPHlSa9eu1datW/Xee+8FurRqhYeHV3rWvkmTJmrevHlQPIM/Z84cjR8/Xm3atNHx48f161//Wg6HQykpKYEurVqzZ89WUlKSnnrqKd1+++366KOP9Morr+iVV14JdGk1Ul5eroyMDKWkpCgkhNN4XRasfcGdYO4VngRzD7lYsPcUd4K5z7gT7L3Hk6DvSYF9Sq9+ycnJsSRVWlJSUgJdWpXc1SzJysjICHRp1br33nuthIQEq1GjRtYVV1xhDRs2zMrMzAx0WbUWTM93T5w40YqLi7MaNmxoxcfHW7fccktQPWf/l7/8xerevbtlt9utLl26WK+88kqgS6qx999/35JkHTp0KNCloBrB2hfcCeZe4Ul96yEXC6ae4k6w9xl3grn3eBLsPclmWZb100UvAAAAAKgb+AIFAAAAAEYiDAEAAAAwEmEIAAAAgJEIQwAAAACMRBgCAAAAYCTCEAAAAAAjEYYAAAAAGIkwBAAAAMBIhCEAAAAARiIMAQAAADASYQgAAACAkQhDAAAAAIz0/wEC2Tj87klu+gAAAABJRU5ErkJggg==",
      "text/plain": [
       "<Figure size 1000x400 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "fig, axs = plt.subplots(1, 2, figsize = (10, 4))\n",
    "\n",
    "knowAvg1_freq = ((df['know1'] + df['know2'] + df['know3'] + df['know4'])/4).value_counts().sort_index()\n",
    "axs[0].bar(knowAvg1_freq.index, knowAvg1_freq.values)\n",
    "axs[0].set_title(\"realizing now\")\n",
    "\n",
    "knowAvg2_freq = ((df['know5'] + df['know6'] + df['know7'])/3).value_counts().sort_index()\n",
    "axs[1].bar(knowAvg2_freq.index, knowAvg2_freq.values)\n",
    "axs[1].set_title(\"know oneself\")\n",
    "\n",
    "max_y_value = max(max(knowAvg1_freq.values), max(knowAvg2_freq.values))\n",
    "axs[0].set_ylim(0, max_y_value+2)\n",
    "axs[1].set_ylim(0, max_y_value+2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "b6073426",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "4.7\n",
      "4.58\n",
      "4.8\n",
      "5.01\n",
      "5.14\n",
      "5.35\n",
      "5.44\n",
      "4.54\n"
     ]
    }
   ],
   "source": [
    "print(df['know1'].mean()) # 4.7\n",
    "print(df['know2'].mean()) # 4.58\n",
    "print(df['know3'].mean()) # 4.8\n",
    "print(df['know4'].mean()) # 5.01\n",
    "print(df['know5'].mean()) # 5.14\n",
    "print(df['know6'].mean()) # 5.35\n",
    "print(df['know7'].mean()) # 5.44\n",
    "print(df['know8'].mean()) # 4.54"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "08bb62ca",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "63"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 문제 상황\n",
    "#1. 워커홀릭인데\n",
    "df_work = df[df['workAvg']>4] #63명 -> 63%\n",
    "df_xwork = df[df['workAvg']<=4]\n",
    "len(df_work)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "39e2836f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "58"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 문제 상황\n",
    "#2. 자기 돌봄 필요성 알지만\n",
    "df_3 = df_work[df_work['scWill'] == 'Y'] # 58명\n",
    "len(df_3)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "7155735b",
   "metadata": {
    "scrolled": true
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<BarContainer object of 7 artists>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "\n",
    "#문제 상황\n",
    "#3. 실천하지 못해\n",
    "# 1) 점수 분포 확인\n",
    "len(df_3[df_3['scAction'] < 4]) # 27명 / 58명 실천 못함 (scAction - 너 실천 잘 해?)\n",
    "len(df_xwork[df_xwork['scAction'] < 4]) # 11명 / 37명\n",
    "plt.bar(df_3['scAction'].value_counts().sort_index().index, df_3['scAction'].value_counts().sort_index().values)\n",
    "plt.bar(df['scAction'].value_counts().sort_index().index, df['scAction'].value_counts().sort_index().values)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "5c35377c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[34, 35, 25, 16, 3]\n"
     ]
    }
   ],
   "source": [
    "why = df_3['scNoWhy'].dropna()\n",
    "# 0 = noTime\n",
    "# 1 = noEnergy\n",
    "# 2 = xKnow\n",
    "# 3 = tiresome\n",
    "# 4 = noNeed\n",
    "\n",
    "why_cnt = [0 for j in range(5)]\n",
    "for i in why.index:\n",
    "    text = why[i]\n",
    "    text = text.replace('noTime', '0')\n",
    "    text = text.replace('noEnergy', '1')\n",
    "    text = text.replace('xKnow', '2')\n",
    "    text = text.replace('tiresome', '3')\n",
    "    text = text.replace('noNeed', '4')\n",
    "    new_text = text.split(\", \")\n",
    "    for j in range(len(new_text)):\n",
    "        for k in range(5):\n",
    "            if new_text[j] == str(k):\n",
    "                why_cnt[k] += 1\n",
    "xlabels = ['noTime', 'noEnergy', 'xKnow', 'tiresome', 'noNeed']\n",
    "total_cnt = sum(why_cnt)\n",
    "why_pct = [cnt/total_cnt for cnt in why_cnt]\n",
    "plt.pie(why_pct, labels=xlabels, autopct='%1.1f%%')\n",
    "plt.title('Reasons for No Self-care Action')\n",
    "plt.show()\n",
    "print(why_cnt)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "6545998a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5906978944125499\n"
     ]
    }
   ],
   "source": [
    "# 해결 프로세스\n",
    "# 1. 자기 이해 good\n",
    "df_knowWell = df[df['knowAvg'] > 4] # 81명 -> 81%\n",
    "\n",
    "# 2. 자기 돌봄 good\n",
    "# 1안\n",
    "df_knowWell[df_knowWell['scAvg'] > 4] # 자기 돌봄 good 69명\n",
    "69/81 # 85.2% (자기 돌봄 good / 자기 이해 good)\n",
    "\n",
    "df.plot(kind='scatter', x='knowAvg', y='scAvg')\n",
    "plt.title('Self-understanding & Self-care')\n",
    "plt.xlabel('Self-understanding')\n",
    "plt.ylabel('Self-care')\n",
    "plt.show()\n",
    "\n",
    "print(df['knowAvg'].corr(df['scAvg'])) # 0.59"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "690f687a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(array([5., 1., 4., 8., 5., 7., 8., 7., 9., 2.]),\n",
       " array([3.11, 3.46, 3.81, 4.16, 4.51, 4.86, 5.21, 5.56, 5.91, 6.26, 6.61]),\n",
       " <BarContainer object of 10 artists>)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df_knowWell = df[df['know8'] > 4]\n",
    "df_knowWell['scAvg'].value_counts().sort_index()\n",
    "plt.hist(df_knowWell['scAvg'])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "10ea813a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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amhpkZ2dj//79+Pvf/47+/fs3+XnTpk2DlZUVQkJC4Orqiry8PMTExMDe3l79WM/f3x8AsGHDBrRt2xaWlpbw8vJCt27d0KVLF7z55psQBAEdOnTAd999hwMHDuh17gAwYsQIhIaG4o033kBZWRmCgoKQlJQk+kCKc+bMweeff46RI0diyZIlcHFxwX/+8x9cvHgRwMMfXX700UcYMWIEgoOD8b//+7/o3r07cnNzsWPHDpSXl8PFxQUxMTEIDw9vcpDBv/3tbygqKsK4cePg7+8PExMTXLx4ER9//DHatGmD+fPnAwBsbW2xZs0aTJ48Gbdu3cKzzz4LZ2dnFBQU4PTp0ygoKMDatWtFuTaffvopIiIiMGDAAMydOxedO3dGdnY29u3bhy+++ALA/cR6y5Yt6NatGwICAnDy5El88MEHD32cVaslz4cUQtp6ZiLD+fLLL4W//vWvgo+Pj2BrayuYmZkJnTt3Fl566SXh/Pnz9bbftWuXMHjwYMHOzk6wsLAQPDw8hGeffVb46aef1Ns0t7dUTU2NsGLFCsHb21uwtLQUgoKChJ9//rnR3lJfffWVxv5ZWVkCAGHz5s0ax4yJiRHc3d0Fc3NzISAgQPjuu+/qHVMQBKG0tFRYuHCh4OvrK5ibmwv29vZCz549hblz5wp5eXnq7QAIM2bMqBf/1q1bhcGDBwsuLi6Cubm54ObmJjz33HPCb7/9prHdqlWrBC8vL8HExEQj3vPnzwvDhw8X2rZtK7Rv314YP368kJ2dXa9nU2O9dRrq2VNUVCS88sorQrt27QRra2th+PDhwsWLF7XuLdWjR4965zl58mTBw8NDY9nZs2eFYcOGCZaWlkKHDh2EqVOnClu3bhUACKdPn653jLpOnz4tPPvss4KTk5NgamoqdOrUSZgyZYpw7tw5IT09XXB0dBS6deum8T3UtW/fPuGVV14R/Pz8BHt7e8HU1FRwdXUVnnnmGXUPugclJiYKo0ePFjp06CCYmZkJjzzyiDB69GiNdtXc3lKCIAjJycnCyJEjBXt7e8HCwkLo0qWLRi+o27dvC1OnThWcnZ0Fa2tr4fHHHxeOHDmidbvX5XyIBEEQVIIg0pCWREStzN/+9jfExcXh5s2bMDc3lzocIvovPpYiItLCkiVL4ObmBm9vb5SWluL777/HZ599hoULFzKxIZIZJjdERFowMzPDBx98gN9//x1VVVXw8fHBRx99pK7dIiL54GMpIiIiUhSOUExERESKwuSGiIiIFIXJDRERESlKqysorqmpwY0bN9C2bdtGh5cnIiIieREEAXfu3IGbm9tDB85sdcnNjRs34O7uLnUYREREpIfr168/dHTrVpfctG3bFsD9i2NnZydxNERERKSNkpISuLu7q3/Hm9LqkpvaR1F2dnZMboiIiIyMNiUlLCgmIiIiRWFyQ0RERIrC5IaIiIgUhckNERERKQqTGyIiIlIUJjdERESkKExuiIiISFGY3BAREZGiMLkhIiIiRWFyQ0RERIrS6qZfICIiIk2ZBaW4dqscng428HK0kTqcZmNyQ0RE1EoVlVdiVlwaDmcUqJeF+jhhzYRA2FubSRhZ8/CxFBERUSs1Ky4NSZcLNZYlXS7EzLhUiSISB5MbIiKiViizoBSHMwpQLQgay6sFAYczCpBVWCZRZM3H5IaIiKgVunarvMn1V28yuSEiIiIj4tHBusn1ng7GW1jM5IaIiKgV8nayRaiPE0xUKo3lJioVQn2cjLrXFJMbIiKiVmrNhECEdHXUWBbS1RFrJgRKFJE42BWciIiolbK3NkPs1H7IKizD1ZtlHOeGiIiIlMHLURlJTS3JH0vl5OTgxRdfhIODA6ytrdGrVy+cPHmy0e0TEhKgUqnqvS5evNiCURMRkdxlFpTiUHq+UXdpJv1Ieufm9u3bCAkJweDBg7Fnzx44OzvjypUraNeu3UP3TU9Ph52dnfq9k5OTASMlIiJjodRRd0l7kiY377//Ptzd3bF582b1Mk9PT632dXZ21ioJIiKi1qWpUXdjp/aTKCpqSZI+ltq9ezeCgoIwfvx4ODs7IzAwEBs3btRq38DAQLi6umLo0KE4dOhQo9tVVFSgpKRE40VERMqk5FF3SXuSJjeZmZlYu3YtfHx8sG/fPkRGRmLWrFmIjY1tdB9XV1ds2LAB8fHx+Oabb+Dr64uhQ4fi8OHDDW4fExMDe3t79cvd3d1Qp0NERBJT8qi7pD2VINRJb1uQubk5goKC8Ouvv6qXzZo1CykpKUhOTtb6OBEREVCpVNi9e3e9dRUVFaioqFC/Lykpgbu7O4qLizVqdoiIyPhlFpRiyIeJja4/FDVIUb2CWpOSkhLY29tr9fst6Z0bV1dX+Pn5aSzr3r07srOzdTrOgAEDkJGR0eA6CwsL2NnZabyIiEiZlDzqriEprWeZpAXFISEhSE9P11h26dIleHh46HSc1NRUuLq6ihkaEREZqTUTAjEzLlWjt5QSRt01BKX2LJM0uZk7dy4GDhyI5cuX47nnnsPx48exYcMGbNiwQb1NdHQ0cnJy1HU4q1atgqenJ3r06IHKykps27YN8fHxiI+Pl+o0iIhIRpQ66q4hKLVnmaTJTd++fbFz505ER0djyZIl8PLywqpVqzBx4kT1Nrm5uRqPqSorKxEVFYWcnBxYWVmhR48e+OGHHzBq1CgpToGIiGRKaaPuiq22Z1ldD/YsM9brJ2lBsRR0KUgiIiJSqkPp+ZiyOaXR9Zun9MVgX+cWjKhpRlNQTERERNLw6GDd5HpPB+O8awMwuSEiImqVlNyzjMkNERFRK7VmQiBCujpqLFNCzzJJC4qJiIhIOkrtWcbkhoiIqJVTWs8yPpYiIiIiRWFyQ0RERIrC5IaIiIgUhckNERERKQqTGyIiIlIUJjdERESkKExuiIiISFGY3BAREZGiMLkhIiIiRWFyQ0RERIrC5IaIiIgUhXNLERERPURmQSmu3SpXzMSSSsfkhoiIqBFF5ZWYFZeGwxkF6mWhPk5YMyEQ9tZmEkZGTeFjKSIiokbMiktD0uVCjWVJlwsxMy5VoohIG0xuiIiIGpBZUIrDGQWoFgSN5dWCgMMZBcgqLJMoMnoYJjdEREQNuHarvMn1V28yuZEr1twQERE1wKODdZPrPR1YWNwQORRfM7khIiJqgLeTLUJ9nJB0uVDj0ZSJSoWQro56/XDL4YffUORUfK0ShDoPExWupKQE9vb2KC4uhp2dndThEBGRjBWX38PMuNRm/2DL6YffUCZtOt5oIhg7tV+zj6/L7zfv3BARETXC3toMsVP7IauwDFdvlul9x6WpXldi/PBLrbb4uq4Hi69b8k4VkxsiIqKH8HLU/zGS3H74DUGb4uuWPEf2liIiIjKg1tDrSm7F10xuWoHMglIcSs/nmAxEZBD8G9M0uf3wG0Jt8bWJSqWx3ESlQqiPU4vfmeJjKQVrDQVsRCQd/o3RjiF6XcnRmgmB9YqvQ7o6Ys2EwBaPhb2lFMzQletE1Lrxb4z2xOp1ZQyaW3zdGPaWolZRwEZE0uHfGN2I1evKGDSn+FosrLlRqNZQwEZE0uHfGP14OdpgsK+z5D/+Ssc7NwrVGgrYiKh5mjNaLv/GkJwxuVGo1lLARkS6E6MQmH9jSM74WErB1kwIREhXR41lUlWuE5F8NDVari74N4bkir2lWoHWUMBGRNrJLCjFkA8TG11/KGqQzn8n+DeGWgJ7S5EGOVSuE5E8GGKYfP6NIbmR/LFUTk4OXnzxRTg4OMDa2hq9evXCyZMnm9wnMTERffr0gaWlJby9vbFu3boWipaISHdyGsGXhcDSErMtyKldyY2kd25u376NkJAQDB48GHv27IGzszOuXLmCdu3aNbpPVlYWRo0ahWnTpmHbtm1ISkrC9OnT4eTkhHHjxrVc8EREDyHHEXxZCCwNMduCHNuV3Ehac/Pmm28iKSkJR44c0Xqf+fPnY/fu3bhw4YJ6WWRkJE6fPo3k5OSH7t8aa26ISBpyHcG3NY2WKxditgW5titDM5qam927dyM8PBzjx49HYmIiHnnkEUyfPh3Tpk1rdJ/k5GSMGDFCY1l4eDg2bdqEe/fuwcxM83/MiooKVFRUqN+XlJSIexJERA2Q8wi+rWm0XDkQsy3IuV3JiaQ1N5mZmVi7di18fHywb98+REZGYtasWYiNjW10n7y8PLi4uGgsc3FxQVVVFQoLC+ttHxMTA3t7e/XL3d1d9PMgIqrLGEbw5Wi5LUPMtmAM7UoOJE1uampq0Lt3byxfvhyBgYF47bXXMG3aNKxdu7bJ/VR1plSvfbJWdzkAREdHo7i4WP26fv26eCdARNQIFu5SLTHbAtuVdiRNblxdXeHn56exrHv37sjOzm50n44dOyIvL09jWX5+PkxNTeHg4FBvewsLC9jZ2Wm8iIgMrbZw16TOP7pMVCqE+jjxbkkrImZbYLvSjqTJTUhICNLT0zWWXbp0CR4eHo3uExwcjAMHDmgs279/P4KCgurV2xARSYkj+FItMdsC29XDSdpbKiUlBQMHDsS7776L5557DsePH8e0adOwYcMGTJw4EcD9x0o5OTnqOpysrCz4+/urH2ElJycjMjIScXFxWnUFZ28pImppLNylWmK2hdbWrnT5/ZZ8+oXvv/8e0dHRyMjIgJeXF+bNm6fRW+rll1/G1atXkZCQoF6WmJiIuXPn4ty5c3Bzc8P8+fMRGRmp1ecxuSEiIjI+RpXctDQmN0RERMZHl99vyadfICIiIhITkxsiIiJSFCY3REREpChMboiIiEhRmNwQERGRojC5ISIiIkVhckNERESKwuSGiIiIFIXJDRERESkKkxsiIiJSFCY3REREpChMboiIiEhRmNwQERGRojC5ISIiIkVhckNERESKwuSGiIiIFMVU6gCIiIhqZRaU4tqtcng62MDL0UbqcNTkGpccyeFaMbkhIiLJFZVXYlZcGg5nFKiXhfo4Yc2EQNhbmzEuIyCna8XHUkREJLlZcWlIulyosSzpciFmxqVKFNF9co1LjuR0rZjcEBGRpDILSnE4owDVgqCxvFoQcDijAFmFZYxL5uR2rZjcEBGRpK7dKm9y/dWb0iQRco1LjuR2rVhzQ0RkYGIWWMqhWLOu5sbk0cG6yfWeDtKcp1zjkiO5XSsmN0REBiJmgaWcijXFjsnbyRahPk5Iulyo8VjDRKVCSFdHvZO45iZdhopLieR2rfhYiojIQMQssJRTsWYtMWNaMyEQIV0dNZaFdHXEmgmBOh+rqLwSkzYdx5APEzFlcwoGr0zApE3HUVx+T9K4lE5O10olCHWqfxSupKQE9vb2KC4uhp2dndThEJFCZRaUYsiHiY2uPxQ1SOt/zYp5LLEYKqaswjJcvVnWrMdukzYdb/QOQuzUfnodU4y4WgtDXStdfr/5WIqIyAC0KbDU9g+/mMcSi6Fi8nJs3g9iba+duh7stSNFXK2JHK4VH0sRERmAmAWWcivWBOQZEyC/XjskDSY3REQNyCwoxaH0fL3H56gtsDRRqTSWm6hUCPVx0ulftmIeSyxyjAkwXNLV3PZALYuPpYiIHiBmr6Q1EwIxMy5V41j6FliKeSyxyDEmsXvtyLGXGj0cC4qJiB4g92JUORa2yi2m4vJ79ZIufRMSQ7QH0g8LiomI9GAMxahyKNasS24x2VubIXZqv2YnXYZqD2R4rLkhIvovFqMqi5ejDQb7OuudgLA9GC/euSEi+i+59gAiaRiiPchx+gwlYnJDRPRfchtCnqQlZntgYXLL4mMpIqIHyGkIeZKeWO1BjtNnKBl7SxERNUBuPYBIWs1pD3KcPsMYsbcUEVEzya0HEEmrOe1BjtNnKJ2kj6UWL14MlUql8erYsWOj2yckJNTbXqVS4eLFiy0YNRERGQO5jCrMUZNbnuR3bnr06IGffvpJ/d7ExOSh+6Snp2vcknJycjJIbEREZHzkVrzLUZNbnuQFxaampujYsaP6pU2i4uzsrLGPNgkRERG1DnIs3hWzUF2O5yc3kt+5ycjIgJubGywsLNC/f38sX74c3t7eTe4TGBiIu3fvws/PDwsXLsTgwYMb3baiogIVFRXq9yUlJaLFTkRE8iLXUYU5anLLkvTOTf/+/REbG4t9+/Zh48aNyMvLw8CBA3Hz5s0Gt3d1dcWGDRsQHx+Pb775Br6+vhg6dCgOHz7c6GfExMTA3t5e/XJ3dzfU6RARkcTkPqowR01uGbLqCl5WVoYuXbrgjTfewLx587TaJyIiAiqVCrt3725wfUN3btzd3dkVnIhIgZTe7Vrp59cUXbqCS15z8yAbGxv07NkTGRkZWu8zYMCAJre3sLCAnZ2dxouIiJSptnjXRKXSWG6iUiHUx0nyH/7m9nCS+/nJhaySm4qKCly4cAGurq5a75OamqrT9kREpGxLx/rDzkqzpNTOyhTLxvpLFNH9Hk6TNh3HkA8TMWVzCgavTMCkTcdRXH5P52NxFO2Hk7SgOCoqChEREejcuTPy8/OxdOlSlJSUYPLkyQCA6Oho5OTkIDY2FgCwatUqeHp6okePHqisrMS2bdsQHx+P+Ph4KU+DiIhkZOGusyj5s0pjWcmfVViw6yxip/aTJKamejjpGpNYxclKJmly8/vvv2PChAkoLCyEk5MTBgwYgKNHj8LDwwMAkJubi+zsbPX2lZWViIqKQk5ODqysrNCjRw/88MMPGDVqlFSnQEREMiLH3kSGiomjaDdO0uRm+/btTa7fsmWLxvs33ngDb7zxhgEjIiIiYybHqQ7kGJPSST7ODRERUa3MglJcu1Wu96MWQ0110BxyjEnpmNwQEZHkxJpSQOypDsQgx5iUTla9pYiIqHUSc0oBOfYmkmNMSiarQfxagi6DABERkeEZamA6OfYmkmNMxkKX328+liIiIkkZquBWjr2J5BiTEvGxFBERSYoFtyQ2JjdEpJfmDiNP0pPLd8gpBZRFDu2Kj6WISCdi9Woh6cjxO1wzIRAz41I1YmLBrXGRU7tiQTER6WTSpuONdmmVamh70o2cv0MW3BovQ7cro50VnIjkrXYY+eo6/yZ6cBh5kje5f4dejjYY7OvMxMbIyK1dMbkhIq1p06uF5I3fIRmC3NoVa26ISGuG6tXS3CH3WxMlTk9gKGxXLUdu7YrJDRFpTexh5OVUgCh3Sp6eQGxsVy1Pbu2Kj6WISCdiDiMv5pD7Sqf06QnExHYlDTm1K965ISKd2FubIXZqv2b3aqktQKzrwQJEJdxFEIPY10qs71CO2K6kI6d2xeSGiPTS3GHkDTXkvhK1pukJmovtSnpyaFdMbohIEnIrQJQzuV8rORXuyv1aUctgckNEkpBbAaKcyfVaybFwV67XiloWC4qJSDJyKkCUOzleK7kW7srxWlHL4vQLRCQ5ORQgGgu5XKvMglIM+TCx0fWHogZJ/l3K5VqROHT5/eZjKSKSnBwKEI2FXK6VMRTuyuVaUcvjYykiItIZC3dJzpjcEBGRzmoLd01UKo3lJioVQn2ceMeEJMXkhoiI9LJ0rD/srDSrG+ysTLFsrL9EERHdx+SGiIj0snDXWZT8WaWxrOTPKizYdVaiiIjuY3JDREQ6q53moLpOh9sHpzkgkgqTGyIi0pk2vaWIpKJ3cnPkyBG8+OKLCA4ORk5ODgDg3//+N3755RfRgiMiInlibymSM72Sm/j4eISHh8PKygqpqamoqKgAANy5cwfLly8XNUAiIpIf9pYiOdMruVm6dCnWrVuHjRs3wszs/+cPGThwIE6dOiVacEREJF+c5oDkSq8RitPT0xEaGlpvuZ2dHYqKipobExERGQF7azPETu3HaQ5IdvRKblxdXXH58mV4enpqLP/ll1/g7e0tRlxERGQkOM0ByY1ej6Vee+01zJ49G8eOHYNKpcKNGzfwxRdfICoqCtOnTxc7RiIio/bl8WzM+TIVX5243uxjZRaU4lB6PrtaEzVB71nBFyxYgI8//hh3794FAFhYWCAqKgr/+Mc/RA1QbJwVnIhaypnfi/D0v35FVc3//5k1baPC7hkh8HvEXqdjFZVXYlZcGg5nFKiXhfo4Yc2EQNhbmzWxJ5Ey6PL7rXNyU11djV9++QU9e/aEpaUlzp8/j5qaGvj5+cHW1rZZgbcEJjdE1FK6vvWjRmJTy7SNCpeXj9LpWJM2HUfS5UKNQfNMVCqEdHVE7NR+zY6VSO50+f3W+bGUiYkJwsPDUVxcDGtrawQFBaFfv35GkdgQEbWUL49nN5jYAEBVjaDTIyqOBkykG71qbnr27InMzEyxYyEiUozkrJtNrk+6Uqj1sTgaMJFu9Epuli1bhqioKHz//ffIzc1FSUmJxktbixcvhkql0nh17NixyX0SExPRp08fWFpawtvbG+vWrdPnFIiIDCrYy6HJ9SFdHJtc/yCOBkykG726gj/55JMAgKeeegqqB0anFAQBKpUK1dXVWh+rR48e+Omnn9TvTUxMGt02KysLo0aNwrRp07Bt2zYkJSVh+vTpcHJywrhx4/Q4EyIiw3i+X2cs2HW20Zqb8UHuWh+rdjTgxmpu2A2bSJNeyc2hQ4fEC8DU9KF3a2qtW7cOnTt3xqpVqwAA3bt3x4kTJ7By5UomN0QkO7tnhOCpT5Ma7C2lqzUTAjEzLlWjtxRHAyZqmF7JTVhYmGgBZGRkwM3NDRYWFujfvz+WL1/e6ECAycnJGDFihMay8PBwbNq0Cffu3dOYCqJWRUWFeu4rADo9NiMiag6/R+xxefkofHXiOpKuFCKki6NOd2wexNGAibSnV3JTq7y8HNnZ2aisrNRYHhAQoNX+/fv3R2xsLB599FH88ccfWLp0KQYOHIhz587BwaH+8+q8vDy4uLhoLHNxcUFVVRUKCwvh6upab5+YmBi8++67OpwVEZG4xge5653U1MXRgIkeTq/kpqCgAFOmTMGePXsaXK9tzc3IkSPV/92zZ08EBwejS5cu2Lp1K+bNm9fgPqo6M9DWDtNTd3mt6OhojWOVlJTA3V2cPzJEREQkP3r1lpozZw5u376No0ePwsrKCnv37sXWrVvh4+OD3bt36x2MjY0NevbsiYyMjAbXd+zYEXl5eRrL8vPzYWpq2uCdHuD+yMl2dnYaLyKiliTmlAmcfoHo4fS6c/Pzzz/j22+/Rd++fdGmTRt4eHhg+PDhsLOzQ0xMDEaPHq1XMBUVFbhw4QKeeOKJBtcHBwfju+++01i2f/9+BAUFNVhvQ0QkJTGnTOD0C0Ta0+vOTVlZGZydnQEAHTp0QEHB/f/ZevbsiVOnTml9nKioKCQmJiIrKwvHjh3Ds88+i5KSEkyePBnA/UdKkyZNUm8fGRmJa9euYd68ebhw4QI+//xzbNq0CVFRUfqcBhGRQc2KS0PSZc3B+pIuF2JmXKqkxyJSOr2SG19fX6SnpwMAevXqhfXr1yMnJwfr1q1rsKi3Mb///jsmTJgAX19fPPPMMzA3N8fRo0fh4eEBAMjNzUV2drZ6ey8vL/z4449ISEhAr1698I9//AOffPIJu4ETkeyIOWUCp18g0o1ej6XmzJmD3NxcAMCiRYsQHh6OL774Aubm5tiyZYvWx9m+fXuT6xs6VlhYmE53h4iIpKDNlAna9noS81hErYFeyc3EiRPV/x0YGIirV6/i4sWL6Ny5MxwdtR9SnIhIqcScMoHTLxDpRq/HUnVZW1ujd+/eTGyIiP6rdsoEkzrDVJioVAj1cdLpTouYxyJqDfRKbp599lm899579ZZ/8MEHGD9+fLODIiJSgjUTAhHSVfMfffpOmSDmsYiUTiUIQv1Z3R7CyckJP//8M3r27Kmx/MyZMxg2bBj++OMP0QIUW0lJCezt7VFcXMwxb4ioRYg5ZQKnX6DWSpffb71qbkpLS2Fubl5vuZmZGeduIiKqQ8wpEzj9AtHD6fVYyt/fH19++WW95du3b4efn1+zgyIiIiLSl153bt5++22MGzcOV65cwZAhQwAABw8eRFxcHL766itRAyQyRpkFpbh2q5yPDkjW2E5JqfRKbp566ins2rULy5cvx9dffw0rKysEBATgp59+QlhYmNgxEhkNDpFPxoDtlJROr4JiY8aCYjKkSZuOI+lyocZIsiYqFUK6OiJ2aj8JIyP6f2ynZIx0+f1u9jg306dPR2Fh4cM3JFI4DpFPxoDtlFqDZic327ZtYw8pImg3RD6R1NhOqTVodnLTyp5qETWKQ+STMWA7pdZA6+Rm9+7duHfvniFjITJqHCKfjAHbKbUGWic3Tz/9NIqKigAAJiYmyM/PBwDcuXMH3t7eBgmOyNhwiHwyBmynpHRadwV3cnLC0aNHERERAUEQoKqT9RMRYG9thtip/ThEPska2ykpndbJTWRkJMaMGQOVSgWVSoWOHTs2um11dbUowREZKw6RT8aA7ZSUSuvkZvHixXjhhRdw+fJlPPXUU9i8eTPatWtnwNCMD0f7JENguyJDUXrbEvP8lH6tlEanEYq7deuGbt26YdGiRRg/fjysrZuuum8tONonGQLbFRmK0tuWmOen9GulVByhWAQc7ZMMge2KDEXpbUvM81P6tTImuvx+a33nJjAwUOsi4lOnTml7WKNXO9pnXQ+O9slbmKQrtisyFKW3LTHPT+nXSsm0Tm7Gjh1rwDCMlzajfbLxk67YrshQlN62xDw/pV8rJdM6uVm0aJEh4zBaHO2TDIHtSlnkVIyq9LYl5vkp/Vopmd7TLxQVFeGzzz5DdHQ0bt26BeD+46icnBzRgjMGHO2TDIHtShmKyisxadNxDPkwEVM2p2DwygRM2nQcxeXSjfau9LYl5vl5O9ki2NuhwXXB3g5Gf62UTK/k5rfffsOjjz6K999/HytXrlSPXLxz505ER0eLGZ9R4GifZAhsV8ZvVlwaki4XaixLulyImXGpEkV0n9Lblpjn11ipKcexlTe9eksNGzYMvXv3xooVK9C2bVucPn0a3t7e+PXXX/HXv/4VV69eNUCo4jBEb6laHO2TDIHtyjhlFpRiyIeJja4/FDVI8u9T6W2ruednDN9ha2KQ3lIPSklJwfr16+stf+SRR5CXl6fPIRWBo32SIbBdGSdjKEZVettq7vkZw3dIDdPrsZSlpSVKSkrqLU9PT4eTk1OzgyIiMnYsRjV+/A6Nl17JzZgxY7BkyRLcu3e/KE6lUiE7Oxtvvvkmxo0bJ2qARERSyCwoxaH0fGQVlum1v9ILd1sDfofGS6+am5KSEowaNQrnzp3DnTt34ObmhtzcXAQHB2PPnj2wsZHvF27ImhsiMn5iDrdfXH4PM+NSOXS/EeN3KB+6/H43a/qFn3/+GadOnUJNTQ369OmDoUOH6nuoFsPkhoiaYojh9pVeuNsa8DuUnsEKio8dO4Zbt25h5MiRAIAhQ4bg+vXrWLRoEcrLyzF27FisWbMGFhYW+kdPRCQRQw23r/TC3daA36Fx0anmZvHixfjtt9/U78+cOYNp06Zh+PDhePPNN/Hdd98hJiZG9CCJiFqCNr1jiEj+dEpu0tLSNB49bd++Hf369cPGjRsxb948fPLJJ9ixY4foQRIZm+YWo5I0WlvvGLHaKds7yY1Oj6Vu374NFxcX9fvExEQ8+eST6vd9+/bF9evXxYuOyMiIWYxKLa+2d0xjNTdKeSwhVjtleye50unOjYuLC7KysgAAlZWVOHXqFIKDg9Xr79y5AzMzNmhqveQ63D5pT+lTEwDitVO2d5Irne7cPPnkk3jzzTfx/vvvY9euXbC2tsYTTzyhXv/bb7+hS5cuogdJZAwMVYxKLcve2gyxU/sptneMWO2U7Z3kTKc7N0uXLoWJiQnCwsKwceNGbNy4Eebm5ur1n3/+OUaMGCF6kETGgMWoyuLlaIPBvs6K+4EWq52yvZOc6ZTcODk54ciRI7h9+zZu376Np59+WmP9V199hUWLFukVSExMDFQqFebMmdPoNgkJCVCpVPVeFy9e1OszicTU2opRSXtiFtw291hitVNjaO+J6flYffASjjRwh4mUTa+JM+3t7Rtc3qFDB72CSElJwYYNGxAQEKDV9unp6RoD+HA+K5KD1lKMStoTs+BWrGOJ1U69nWwR7O2A5Myb9dYFeztI2t6v3SzD2E+TcLv8nnpZe2sz7J7xONwdmk7KSBn0mltKTKWlpZg4cSI2btyI9u3ba7WPs7MzOnbsqH6ZmJgYOEoi7bSGYlTSnpgFt2IeS6x2WmfKpYcubyl1ExsAuF1+D099+otEEVFL0+vOjZhmzJiB0aNHY9iwYVi6dKlW+wQGBuLu3bvw8/PDwoULMXjw4Ea3raioQEVFhfp9Q7OZE4lF6cWopD0xC27FLt4Vo51mFpTi1yv179oAwK9XbkpWUJyYnl8vsal1u/wejmQU4Akf3u1XOknv3Gzfvh0nT57UelRjV1dXbNiwAfHx8fjmm2/g6+uLoUOH4vDhw43uExMTA3t7e/XL3d1drPCJGqXUYlTSnpgFt4Yq3m1OO5VrQXHa70VNrj+VfbtlAiFJSXbn5vr165g9ezb2798PS0tLrfbx9fWFr6+v+n1wcDCuX7+OlStXIjQ0tMF9oqOjMW/ePPX7kpISJjhEZHBiFtzKsXhXjjEBQK9O7Zpc37uzduUPZNwku3Nz8uRJ5Ofno0+fPjA1NYWpqSkSExPxySefwNTUFNXV1VodZ8CAAcjIyGh0vYWFBezs7DReRK0Vh8lvOd5OthjYxaHBdQO76FZwW1sEbFKnmMVEpUKoj5MkdwjlGBMAhPk6o30jBdbtrc34SKqVkCy5GTp0KM6cOYO0tDT1KygoCBMnTkRaWprWRcKpqalwdXU1cLRExq2ovBKTNh3HkA8TMWVzCgavTMCkTcdR3EhtAonjgc5IWi1vytKx/rCz0rzZbmdlimVj/fWITBxyLaDfPePxeglObW8pah0keyzVtm1b+Ptr/k9pY2MDBwcH9fLo6Gjk5OQgNjYWALBq1Sp4enqiR48eqKysxLZt2xAfH4/4+PgWj5/ImDTV0yZ2aj+JolK2zILSBrtJA0Bypu4Ftwt3nUXJn1Uay0r+rMKCXWcl+w7lWkDv7mCN1HdG4EhGAU5l30bvzu15x6aVkby3VFNyc3ORnZ2tfl9ZWYmoqCjk5OTAysoKPXr0wA8//IBRo0ZJGCWRvHGYfGloU3ArVW8psXk5yiOpqesJHycmNa2UrJKbhIQEjfdbtmzReP/GG2/gjTfeaLmAiBRAzB9Z0p6YBbf8Dol0I/kgfkRkWHLt1aJ0Yhbcyv07ZKG69nitWoas7twQkfg4LYR01kwIxMy4VI1HSvoU3Mr1OxRzegml47VqWSpB0Kdu33iVlJTA3t4excXF7BZOrUZx+b16P7L8w9pyxCi4leN3OGnT8UYTLhaqa+K1aj5dfr9554aoFZBrr5bWQoyCW7l9h3IvcpYTXquWx+SGqBWRa68W0p5cvkMWOWuP16rlsaCYiIh0JvciZznhtWp5TG6IWhH21DB+Yn6HXx7PxpwvU/HVies67yvX6RfkiNeq5bGgmKgVYE8N4yfmd3jm9yI8/a9fUVXz/3/+TduosHtGCPwesdf6OHIscpYrXqvm0+X3m8kNUSvAnhrGT8zvsOtbP2okNrVM26hwebnuI77LpcjZGPBa6U+X328+liJSuNqeGtV1/h3zYE8Nkjcxv8Mvj2c3mNgAQFWNoNcjKi9HGwz2deaPtRZ4rVoGkxsihdOmpwbJm5jfYXJWw5N51kq6UtjkeiJjwOSGSOHYU8P4ifkdBns5NLk+pIuj1seqxUJ1khuOc0OkcHIdup+05+1ki2BvByRn1r/rEuztoNN3+Hy/zliw6wyqauqvM20DjA9y1/pYLFQnueKdG6JWYM2EQIR01fwXuT5zHJF06vQifujypgQ80k6n5Y2ZFZeGpMuaj7GSLhdiZlyq7kERiYh3bohaAbkN3U+6ySwoxa9XGq6V+fXKTZ2G788sKMWp60UNrjt1vUjrY3FKAZIz3rkhkjkx6xnYU8M4iVlQLNaxWKhOcsY7N0QyxXoGqiVmQbFYx2KhOskZ79wQyRTrGaiWmMP3i3UsTilAcsbkhkiGOPAe1SVmUbhYx2KhOskVH0sRyZA29Qz8l3HrImZRuFjHYqE6yRWTGyIZYj0DNcbLUbwEQqxjiRkTkRj4WIpIhljPoCxyHcFXrnERNRfv3BDJ1JoJgZgZl6rRW4r1DMZFrj3e5BoXkVhUgiA0PD2sQukyZTqRHLCewXhN2nS80WkvYqf2Y1xEOtDl95t3bohkjvUMxkmuI/jKNS4iMbHmhojIAOQ6gq9c4yISE5MbIiIDkGuPN7nGRSQmJjdERAYg1x5vco2LSExMboiIDGTpWH/YWWmWNtpZmWLZWH+JIrqPIwuT0rGgmIjIQBbuOouSP6s0lpX8WYUFu85K2iuJIwuT0jG5ISIyAGPolcSeeKRUfCxFRGQA7JVEJB3euSGSucyCUly7Vc5HB0aGvZKIpMPkhkimOES+cavtldTYSMBMVIkMh4+liGRqVlwaki4XaixLulyImXGpEkVEumKvJCJp8M4NkQwZQzEqPRx7JRFJg8kNkQxpU4zKH0njwV5JRC1LNo+lYmJioFKpMGfOnCa3S0xMRJ8+fWBpaQlvb2+sW7euZQIkakEsRlWWzIJSHErPR1ahMntIKf385IrXvXGyuHOTkpKCDRs2ICAgoMntsrKyMGrUKEybNg3btm1DUlISpk+fDicnJ4wbN66FoiUyPBajKoPSi8KVfn5yxev+cJLfuSktLcXEiROxceNGtG/fvslt161bh86dO2PVqlXo3r07Xn31VbzyyitYuXJlC0VL1HJYjGr8lF4UrvTzkyte94eT/M7NjBkzMHr0aAwbNgxLly5tctvk5GSMGDFCY1l4eDg2bdqEe/fuwcysfsZaUVGBiooK9fuSkhJxAicyMBajGjelF4Ur/fzkitddO5Leudm+fTtOnjyJmJgYrbbPy8uDi4uLxjIXFxdUVVWhsLCwwX1iYmJgb2+vfrm7uzc7bqKW5OVog8G+zvyDZWSUPkKx0s9PrnjdtSNZcnP9+nXMnj0bX3zxBSwtLbXeT6VSabwX/luPUHd5rejoaBQXF6tf169f1z9oIiItGaooXC5FpCx6lwavu3Ykeyx18uRJ5Ofno0+fPupl1dXVOHz4MP75z3+ioqICJiYmGvt07NgReXl5Gsvy8/NhamoKBweHBj/HwsICFhYW4p8AkRHiVA4tR+yicEMUkTanPbDoXRq87tqRLLkZOnQozpw5o7FsypQp6NatG+bPn18vsQGA4OBgfPfddxrL9u/fj6CgoAbrbYjoPvaukMaaCYGYGZeqcd31LQpvqog0dmo/nY4lVnsQ8/xIe7zuD6cShAdSP4kNGjQIvXr1wqpVqwDcf6SUk5OD2NhYAPe7gvv7++O1117DtGnTkJycjMjISMTFxWndFbykpAT29vYoLi6GnZ2doU6FSFYmbTre6L/0dP1hJN01tyg8s6AUQz5MbHT9oahBOh1X7PbAondptLbrrsvvt+S9pZqSm5uL7Oxs9XsvLy/8+OOPmDt3Lj799FO4ubnhk08+4Rg3RE1g7wrpNXeEYjFHrDZEe+AIzNLgdW+crJKbhIQEjfdbtmypt01YWBhOnTrVMgERKQCncjB+YhaRsj1QayD5IH5EZFhK77VjDJp7rWqLSE3q9Ao1UakQ6uOkUzLC3jbUGsjqzg0Ric/byRYDuzjg1ys3660b2MVBFr12lErMa7V0bA+M+TQJt8vvqZfZWZli2Vh/nY7D3jbUGvDODVEr0Fi3AX26E3Dod+2Jea0W7jqHkj+rNJaV/FmFBbvO6nwsTu1BSsc7N0QKl1lQiuTM+ndtACA586ZOBaQsTtaemNdK7OvOqT1I6XjnhkjhxByunUO/a88Yrjun9iClYnJDpHBiFpCyGFV7vO5E0mFyQ6RwYva0EfNYSldbyN0QXQu55X7d2XOO5IbJDVErIGYBKYtRtSdmIbccr3tReSUmbTqOIR8mYsrmFAxemYBJm46j+IEeXURSkNX0Cy2B0y9QayZmASmLUZsm9pQJteR03TmtB7UkxUy/QETiEnO4dg793jRDjQQsl+vOnnMkZ3wsRURkAEovAmbPOZIzJjdEBsACS+MnpykT5EjpyRsZNz6WIhIRpyYwfmJ+h2smBGJmXKrGsaQuAhYLp3EgOWNBMZGIWGBp/AzxHcqpCFhMxeX36iVvTObJUFhQTCQBFlgaP0N9h3IpAhYbp3EguWLNDZFIWGBp/Pgd6ofTOJDc8M4NkUhYYCm9zIJSXLtVrvcdBH6HRMrA5IZIJCywlI5YRcD8DomUgY+liEQkxyHyW4NZcWlIulyosSzpciFmxqXqfCx+h0TGj72liAyABZYtpzVMc0BE7C1FJDml9o6RI6VPc0BEuuNjKSIyaiwCJqK6mNwQkVFT+jQHRKQ7JjdEZPRYBExED2LNDREZPY6US0QPYnJDRIrBImAiAvhYioiIiBSGd26IHtDc4fuJiEh6TG6IIN7w/UREJD0+liKCuMP3ExGRtJjcUKuXWVCKwxkFGhMlAkC1IOBwRgGyCsskioyIiPTB5IZaPW2G7yciIuPB5IZaPQ7fT0SkLExuqNXj8P1ERMrC5IYIHL6fiEhJ2BWcCBy+n4hISZjcED2Aw/cTERk/SR9LrV27FgEBAbCzs4OdnR2Cg4OxZ8+eRrdPSEiASqWq97p48WILRk1ERERyJumdm06dOuG9995D165dAQBbt27FmDFjkJqaih49ejS6X3p6Ouzs7NTvnZycDB4rERERGQdJk5uIiAiN98uWLcPatWtx9OjRJpMbZ2dntGvXzsDRERERkTGSTW+p6upqbN++HWVlZQgODm5y28DAQLi6umLo0KE4dOhQk9tWVFSgpKRE40VERETKJXlyc+bMGdja2sLCwgKRkZHYuXMn/Pz8GtzW1dUVGzZsQHx8PL755hv4+vpi6NChOHz4cKPHj4mJgb29vfrl7u5uqFMhIiIiGVAJQp0JdVpYZWUlsrOzUVRUhPj4eHz22WdITExsNMGpKyIiAiqVCrt3725wfUVFBSoqKtTvS0pK4O7ujuLiYo26HSIiIpKvkpIS2Nvba/X7LXlXcHNzc3VBcVBQEFJSUrB69WqsX79eq/0HDBiAbdu2NbrewsICFhYWosRKRERE8if5Y6m6BEHQuNPyMKmpqXB1dTVgRERERGRMJL1z89Zbb2HkyJFwd3fHnTt3sH37diQkJGDv3r0AgOjoaOTk5CA2NhYAsGrVKnh6eqJHjx6orKzEtm3bEB8fj/j4eClPg4iIiGRE0uTmjz/+wEsvvYTc3FzY29sjICAAe/fuxfDhwwEAubm5yM7OVm9fWVmJqKgo5OTkwMrKCj169MAPP/yAUaNGSXUKREREJDOSFxS3NF0KkoiIiEgejKqgmEiJMgtKce1WuSgTcMr1WEREcsXkhkhEReWVmBWXhsMZBeploT5OWDMhEPbWZoo4FhGR3MmutxSRMZsVl4aky4Uay5IuF2JmXKpijkVEJHdMbohEkllQisMZBaiuU8ZWLQg4nFGArMIyoz8WEZExYHJDJJJrt8qbXH/1pvZJhFyPRURkDJjcEInEo4N1k+s9HbQv4JXrsYiIjAGTGyKReDvZItTHCSYqlcZyE5UKoT5OOvVOkuuxiIiMAZMbIhGtmRCIkK6OGstCujpizYRAxRyLiEjuOIgfkQFkFZbh6s0yUcaTkeuxiIhaki6/30xuiIiISPZ0+f3mYykiIiJSFCY3REREpChMboiIiEhRmNwQERGRojC5ISIiIkVhckNERESKYip1AEqSWVCKa7fKOYYIsS0QEUmIyY0IisorMSsuDYczCtTLQn2csGZCIOytzSSMjFoa2wIRkfT4WEoEs+LSkHS5UGNZ0uVCzIxLlSgikgrbAhGR9JjcNFNmQSkOZxSgus5Az9WCgMMZBcgqLJMoMmppbAtERPLA5KaZrt0qb3L91Zv8QWst2BaIiOSByU0zeXSwbnK9pwOLSVsLtgUiInlgctNM3k62CPVxgolKpbHcRKVCqI8Te8q0ImwLRETywORGBGsmBCKkq6PGspCujlgzIVCiiEgqbAtERNJTCUKd6keF02XKdF1lFZbh6s0yjm1CbAtERCLT5feb49yIyMuRP2R0H9sCEZF0+FiKiIiIFIV3boiISDbkOnWJXOOihjG5ISIiycl16hK5xkVN42MpIiKSnFynLpFrXNQ0JjdERCQpuU5dIte46OGY3BARkaTkOnWJXOOih2NyQ0REkpLr1CVyjYsejskNERFJSq5Tl8g1Lno4JjdERCQ5uU5dIte4qGmcfoGIiGRDrlOXyDWu1oTTLxARkVGS69Qlco2LGibpY6m1a9ciICAAdnZ2sLOzQ3BwMPbs2dPkPomJiejTpw8sLS3h7e2NdevWtVC0REREZAwkTW46deqE9957DydOnMCJEycwZMgQjBkzBufOnWtw+6ysLIwaNQpPPPEEUlNT8dZbb2HWrFmIj49v4ciJiIhIrmRXc9OhQwd88MEHmDp1ar118+fPx+7du3HhwgX1ssjISJw+fRrJyclaHZ81N0RERMZHl99v2fSWqq6uxvbt21FWVobg4OAGt0lOTsaIESM0loWHh+PEiRO4d+9eg/tUVFSgpKRE40VERETKJXlyc+bMGdja2sLCwgKRkZHYuXMn/Pz8Gtw2Ly8PLi4uGstcXFxQVVWFwsLCBveJiYmBvb29+uXu7i76ORAREZF8SJ7c+Pr6Ii0tDUePHsX//M//YPLkyTh//nyj26vqDKZU+1St7vJa0dHRKC4uVr+uX78uXvBEREQkO5J3BTc3N0fXrl0BAEFBQUhJScHq1auxfv36ett27NgReXl5Gsvy8/NhamoKBweHBo9vYWEBCwsL8QMnIiIiWZL8zk1dgiCgoqKiwXXBwcE4cOCAxrL9+/cjKCgIZmZmLREeERERyZykyc1bb72FI0eO4OrVqzhz5gwWLFiAhIQETJw4EcD9R0qTJk1Sbx8ZGYlr165h3rx5uHDhAj7//HNs2rQJUVFRUp0CERERyYykj6X++OMPvPTSS8jNzYW9vT0CAgKwd+9eDB8+HACQm5uL7Oxs9fZeXl748ccfMXfuXHz66adwc3PDJ598gnHjxkl1CkRERCQzshvnxtCKi4vRrl07XL9+nePcEBERGYmSkhK4u7ujqKgI9vb2TW4reUFxS7tz5w4AsEs4ERGREbpz585Dk5tWd+empqYGN27cQNu2bRvtPq6v2qySd4UejtdKe7xW2uO10g2vl/Z4rbRnqGslCALu3LkDNzc3tGnTdMlwq7tz06ZNG3Tq1Mmgn1E7ESg9HK+V9nittMdrpRteL+3xWmnPENfqYXdsasmuKzgRERFRczC5ISIiIkVhciMiCwsLLFq0iCMia4HXSnu8VtrjtdINr5f2eK20J4dr1eoKiomIiEjZeOeGiIiIFIXJDRERESkKkxsiIiJSFCY3REREpChMbkRw+PBhREREwM3NDSqVCrt27ZI6JNmKiYlB37590bZtWzg7O2Ps2LFIT0+XOixZWrt2LQICAtQDYQUHB2PPnj1Sh2UUYmJioFKpMGfOHKlDkZ3FixdDpVJpvDp27Ch1WLKVk5ODF198EQ4ODrC2tkavXr1w8uRJqcOSJU9Pz3ptS6VSYcaMGS0eC5MbEZSVleGxxx7DP//5T6lDkb3ExETMmDEDR48exYEDB1BVVYURI0agrKxM6tBkp1OnTnjvvfdw4sQJnDhxAkOGDMGYMWNw7tw5qUOTtZSUFGzYsAEBAQFShyJbPXr0QG5urvp15swZqUOSpdu3byMkJARmZmbYs2cPzp8/jw8//BDt2rWTOjRZSklJ0WhXBw4cAACMHz++xWNpddMvGMLIkSMxcuRIqcMwCnv37tV4v3nzZjg7O+PkyZMIDQ2VKCp5ioiI0Hi/bNkyrF27FkePHkWPHj0kikreSktLMXHiRGzcuBFLly6VOhzZMjU15d0aLbz//vtwd3fH5s2b1cs8PT2lC0jmnJycNN6/99576NKlC8LCwlo8Ft65IUkVFxcDADp06CBxJPJWXV2N7du3o6ysDMHBwVKHI1szZszA6NGjMWzYMKlDkbWMjAy4ubnBy8sLL7zwAjIzM6UOSZZ2796NoKAgjB8/Hs7OzggMDMTGjRulDssoVFZWYtu2bXjllVdEn6RaG0xuSDKCIGDevHl4/PHH4e/vL3U4snTmzBnY2trCwsICkZGR2LlzJ/z8/KQOS5a2b9+OkydPIiYmRupQZK1///6IjY3Fvn37sHHjRuTl5WHgwIG4efOm1KHJTmZmJtauXQsfHx/s27cPkZGRmDVrFmJjY6UOTfZ27dqFoqIivPzyy5J8Ph9LkWRef/11/Pbbb/jll1+kDkW2fH19kZaWhqKiIsTHx2Py5MlITExkglPH9evXMXv2bOzfvx+WlpZShyNrDz5C79mzJ4KDg9GlSxds3boV8+bNkzAy+ampqUFQUBCWL18OAAgMDMS5c+ewdu1aTJo0SeLo5G3Tpk0YOXIk3NzcJPl83rkhScycORO7d+/GoUOH0KlTJ6nDkS1zc3N07doVQUFBiImJwWOPPYbVq1dLHZbsnDx5Evn5+ejTpw9MTU1hamqKxMREfPLJJzA1NUV1dbXUIcqWjY0NevbsiYyMDKlDkR1XV9d6/5Do3r07srOzJYrIOFy7dg0//fQTXn31Vcli4J0balGCIGDmzJnYuXMnEhIS4OXlJXVIRkUQBFRUVEgdhuwMHTq0Xo+fKVOmoFu3bpg/fz5MTEwkikz+KioqcOHCBTzxxBNShyI7ISEh9YaquHTpEjw8PCSKyDjUdhQZPXq0ZDEwuRFBaWkpLl++rH6flZWFtLQ0dOjQAZ07d5YwMvmZMWMG/vOf/+Dbb79F27ZtkZeXBwCwt7eHlZWVxNHJy1tvvYWRI0fC3d0dd+7cwfbt25GQkFCvxxkBbdu2rVe3ZWNjAwcHB9Zz1REVFYWIiAh07twZ+fn5WLp0KUpKSjB58mSpQ5OduXPnYuDAgVi+fDmee+45HD9+HBs2bMCGDRukDk22ampqsHnzZkyePBmmphKmGAI126FDhwQA9V6TJ0+WOjTZaeg6ARA2b94sdWiy88orrwgeHh6Cubm54OTkJAwdOlTYv3+/1GEZjbCwMGH27NlShyE7zz//vODq6iqYmZkJbm5uwjPPPCOcO3dO6rBk67vvvhP8/f0FCwsLoVu3bsKGDRukDknW9u3bJwAQ0tPTJY1DJQiCIE1aRURERCQ+FhQTERGRojC5ISIiIkVhckNERESKwuSGiIiIFIXJDRERESkKkxsiIiJSFCY3REREpChMboionsWLF6NXr171lrm4uEClUmHXrl0tGo8Un2lonp6eWLVqlfq9Es+RSCpMbogUKD8/H6+99ho6d+4MCwsLdOzYEeHh4UhOTtbreBcuXMC7776L9evXIzc3V2NmaaUYNGgQ5syZI9nnK/W6EkmBc0sRKdC4ceNw7949bN26Fd7e3vjjjz9w8OBB3Lp1S6/jXblyBQAwZswYqFQqMUNtEZWVlTA3N5c6jCZ17NhR6hCIFIN3bogUpqioCL/88gvef/99DB48GB4eHujXrx+io6PVs/QWFxfjb3/7G5ydnWFnZ4chQ4bg9OnTDR5v8eLFiIiIAAC0adOm0eTm5ZdfxtixYzWWzZkzB4MGDVK/HzRoEGbNmoU33ngDHTp0QMeOHbF48WKNfTIyMhAaGgpLS0v4+fnhwIED9T4rJycHzz//PNq3bw8HBweMGTMGV69erRdLTEwM3Nzc8OijjwIA/vWvf8HHxweWlpZwcXHBs88+q94+MTERq1evhkqlgkqlwtWrV1FdXY2pU6fCy8sLVlZW8PX1xerVqxs875UrV8LV1RUODg6YMWMG7t27p94mPz8fERERsLKygpeXF7744ot65/TgY6mrV69CpVLhm2++weDBg2FtbY3HHnus3p23jRs3wt3dHdbW1nj66afx0UcfoV27dg19PUStCpMbIoWxtbWFra0tdu3ahYqKinrrBUHA6NGjkZeXhx9//BEnT55E7969MXTo0Abv7ERFRWHz5s0A7j86yc3NbVZ8W7duhY2NDY4dO4YVK1ZgyZIl6gSmpqYGzzzzDExMTHD06FGsW7cO8+fP19i/vLwcgwcPhq2tLQ4fPoxffvkFtra2ePLJJ1FZWane7uDBg7hw4QIOHDiA77//HidOnMCsWbOwZMkSpKenY+/evQgNDQUArF69GsHBwZg2bZr6HN3d3VFTU4NOnTphx44dOH/+PN555x289dZb2LFjh0ZMhw4dwpUrV3Do0CFs3boVW7ZswZYtW9TrX375ZVy9ehU///wzvv76a/zrX/9Cfn7+Q6/VggULEBUVhbS0NDz66KOYMGECqqqqAABJSUmIjIzE7NmzkZaWhuHDh2PZsmV6fSdEiiPptJ1EZBBff/210L59e8HS0lIYOHCgEB0dLZw+fVoQBEE4ePCgYGdnJ9y9e1djny5dugjr168XBEEQFi1aJDz22GPqdTt37hQe9udi8uTJwpgxYzSWzZ49WwgLC1O/DwsLEx5//HGNbfr27SvMnz9fEIT7MwqbmJgI169fV6/fs2ePAEDYuXOnIAiCsGnTJsHX11eoqalRb1NRUSFYWVkJ+/btU8fi4uIiVFRUqLeJj48X7OzshJKSkgbj13YW8enTpwvjxo3TOG8PDw+hqqpKvWz8+PHC888/LwiCIKSnpwsAhKNHj6rXX7hwQQAgfPzxx+plD55jVlaWAED47LPP1OvPnTsnABAuXLggCML92b1Hjx6tEdvEiRMFe3v7h54DkdLxzg2RAo0bNw43btzA7t27ER4ejoSEBPTu3RtbtmzByZMnUVpaCgcHB/VdHltbW2RlZalrax7mwf0iIyN1ii0gIEDjvaurq/ouxoULF9C5c2d06tRJvT44OFhj+5MnT+Ly5cto27atOoYOHTrg7t27GvH37NlTo85m+PDh8PDwgLe3N1566SV88cUXKC8vf2i869atQ1BQEJycnGBra4uNGzciOztbY5sePXrAxMSk0XMyNTVFUFCQen23bt20enz04LVydXUFAPVx09PT0a9fP43t674naq1YUEykUJaWlhg+fDiGDx+Od955B6+++ioWLVqE6dOnw9XVFQkJCfX20bZeIy0tTf3fdnZ2AO7X4wiCoLHdg3UntczMzDTeq1Qq1NTUAEC9/WvXP6impgZ9+vRpsG7FyclJ/d82NjYa69q2bYtTp04hISEB+/fvxzvvvIPFixcjJSWl0fPesWMH5s6diw8//BDBwcFo27YtPvjgAxw7dkznc9KnEPvB49bu/+Bx6x6zoetH1BoxuSFqJfz8/LBr1y707t0beXl5MDU1haenp17H6tq1a71lTk5OOHv2rMaytLS0ej/8D4sxOzsbN27cgJubGwDUK6Lt3bs3vvzyS3UxtC5MTU0xbNgwDBs2DIsWLUK7du3w888/45lnnoG5uTmqq6s1tj9y5AgGDhyI6dOnq5dpe3erVvfu3VFVVYUTJ06o76ykp6ejqKhIp+PU1a1bNxw/flxj2YkTJ5p1TCKl4GMpIoW5efMmhgwZgm3btuG3335DVlYWvvrqK6xYsQJjxozBsGHDEBwcjLFjx2Lfvn24evUqfv31VyxcuLBZP45DhgzBiRMnEBsbi4yMDCxatKhesvMww4YNg6+vLyZNmoTTp0/jyJEjWLBggcY2EydOhKOjI8aMGYMjR44gKysLiYmJmD17Nn7//fdGj/3999/jk08+QVpaGq5du4bY2FjU1NTA19cXwP1B9Y4dO4arV6+isLAQNTU16Nq1K06cOIF9+/bh0qVLePvtt5GSkqLTOfn6+uLJJ5/EtGnTcOzYMZw8eRKvvvoqrKysdDpOXTNnzsSPP/6Ijz76CBkZGVi/fj327NljlF31icTG5IZIYWxtbdG/f398/PHHCA0Nhb+/P95++21MmzYN//znP6FSqfDjjz8iNDQUr7zyCh599FG88MILuHr1KlxcXPT+3PDwcLz99tt444030LdvX9y5cweTJk3S6Rht2rTBzp07UVFRgX79+uHVV1+t1wPI2toahw8fRufOnfHMM8+ge/fueOWVV/Dnn382eSenXbt2+OabbzBkyBB0794d69atQ1xcHHr06AHgfq8wExMT+Pn5wcnJCdnZ2YiMjMQzzzyD559/Hv3798fNmzc17uJoa/PmzXB3d0dYWBieeeYZdTf85ggJCcG6devw0Ucf4bHHHsPevXsxd+5cWFpaNuu4REqgEviQlohIEaZNm4aLFy/iyJEjUodCJCnW3BARGamVK1di+PDhsLGxwZ49e7B161b861//kjosIsnxzg0RkZF67rnnkJCQgDt37sDb2xszZ87UuWs+kRIxuSEiIiJFYUExERERKQqTGyIiIlIUJjdERESkKExuiIiISFGY3BAREZGiMLkhIiIiRWFyQ0RERIrC5IaIiIgUhckNERERKcr/Ab0uVA+LDj/lAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.47292316262433803\n"
     ]
    }
   ],
   "source": [
    "df.plot(kind='scatter', x='knowAvg1', y='scAvg')\n",
    "plt.title('Self-understanding & Self-care')\n",
    "plt.xlabel('Self-understanding')\n",
    "plt.ylabel('Self-care')\n",
    "plt.show()\n",
    "\n",
    "print(df['knowAvg1'].corr(df['scAvg'])) # 0.47"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "05ca8f17",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.5410930842154792\n"
     ]
    }
   ],
   "source": [
    "df.plot(kind='scatter', x='knowAvg2', y='scAvg')\n",
    "plt.title('Self-understanding & Self-care')\n",
    "plt.xlabel('Self-understanding')\n",
    "plt.ylabel('Self-care')\n",
    "plt.show()\n",
    "\n",
    "print(df['knowAvg2'].corr(df['scAvg'])) #0.54"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "c0fa4797",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.3817300152996639\n"
     ]
    }
   ],
   "source": [
    "df.plot(kind='scatter', x='know8', y='scAvg')\n",
    "plt.title('Self-understanding & Self-care')\n",
    "plt.xlabel('Self-understanding')\n",
    "plt.ylabel('Self-care')\n",
    "plt.show()\n",
    "\n",
    "print(df['know8'].corr(df['scAvg'])) # 0.38"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "f48c9c02",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8461538461538461"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. 상황 인식 good\n",
    "df_knowWell = df[df['knowAvg1'] > 4] # 78명 -> 78%\n",
    "df_knowWell\n",
    "# 2. 자기 돌봄 good\n",
    "df_knowWell[df_knowWell['scAvg'] > 4] # 자기 돌봄 good 66명\n",
    "66 / 78 # (84%)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "39f5f62c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8235294117647058"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. 자기 인식 good\n",
    "df_knowWell = df[df['knowAvg2'] > 4] # 85명 -> 85%\n",
    "df_knowWell\n",
    "# 2. 자기 돌봄 good\n",
    "df_knowWell[df_knowWell['scAvg'] > 4] # 자기 돌봄 good 70명\n",
    "70 / 85 # 82%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "698e0900",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.8392857142857143"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 1. 취미 good\n",
    "df_knowWell = df[df['know8'] > 4] # 56명 -> 56%\n",
    "df_knowWell\n",
    "# 2. 자기 돌봄 good\n",
    "df_knowWell[df_knowWell['scAvg'] > 4] # 자기 돌봄 good 47명\n",
    "47 / 56 # 83%"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "529bb5ef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>age</th>\n",
       "      <th>status</th>\n",
       "      <th>work1</th>\n",
       "      <th>work2</th>\n",
       "      <th>work3</th>\n",
       "      <th>work4</th>\n",
       "      <th>work5</th>\n",
       "      <th>work6</th>\n",
       "      <th>know1</th>\n",
       "      <th>know2</th>\n",
       "      <th>...</th>\n",
       "      <th>knowAvg</th>\n",
       "      <th>knowAvg1</th>\n",
       "      <th>knowAvg2</th>\n",
       "      <th>timeAvg</th>\n",
       "      <th>physicAvg</th>\n",
       "      <th>mentalAvg</th>\n",
       "      <th>relatnAvg</th>\n",
       "      <th>improvAvg</th>\n",
       "      <th>leisrAvg</th>\n",
       "      <th>scAvg</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>23~25</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>5.25</td>\n",
       "      <td>4.25</td>\n",
       "      <td>6.33</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.33</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>23~25</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>6.62</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.67</td>\n",
       "      <td>5.67</td>\n",
       "      <td>6.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>4.67</td>\n",
       "      <td>5.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>20~22</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>6.12</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.00</td>\n",
       "      <td>6.67</td>\n",
       "      <td>7.00</td>\n",
       "      <td>5.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>23~25</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>6.50</td>\n",
       "      <td>6.25</td>\n",
       "      <td>6.67</td>\n",
       "      <td>5.33</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.33</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.67</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>23~25</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>4.75</td>\n",
       "      <td>4.50</td>\n",
       "      <td>5.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>4.67</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>23~25</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>5.25</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.67</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.67</td>\n",
       "      <td>6.11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>23~25</td>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>6.25</td>\n",
       "      <td>6.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.67</td>\n",
       "      <td>5.67</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.33</td>\n",
       "      <td>6.67</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>20~22</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.50</td>\n",
       "      <td>6.67</td>\n",
       "      <td>6.67</td>\n",
       "      <td>5.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>4.67</td>\n",
       "      <td>7.00</td>\n",
       "      <td>5.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>20~22</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>6.12</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.33</td>\n",
       "      <td>5.33</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>23~25</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>6.38</td>\n",
       "      <td>6.25</td>\n",
       "      <td>7.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.33</td>\n",
       "      <td>7.00</td>\n",
       "      <td>4.33</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>20~22</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.75</td>\n",
       "      <td>6.00</td>\n",
       "      <td>4.67</td>\n",
       "      <td>5.00</td>\n",
       "      <td>2.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.33</td>\n",
       "      <td>4.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>20~22</td>\n",
       "      <td>1</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>7.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.67</td>\n",
       "      <td>6.67</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.17</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>23~25</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>6.88</td>\n",
       "      <td>7.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.33</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>56</th>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>6.38</td>\n",
       "      <td>6.50</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.33</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.33</td>\n",
       "      <td>5.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>20~22</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>5.88</td>\n",
       "      <td>5.75</td>\n",
       "      <td>5.67</td>\n",
       "      <td>4.67</td>\n",
       "      <td>5.33</td>\n",
       "      <td>5.33</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>5.50</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>62</th>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>5.50</td>\n",
       "      <td>5.00</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.33</td>\n",
       "      <td>5.33</td>\n",
       "      <td>6.67</td>\n",
       "      <td>4.33</td>\n",
       "      <td>6.67</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>23~25</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>6.50</td>\n",
       "      <td>6.75</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.67</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.67</td>\n",
       "      <td>6.67</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>72</th>\n",
       "      <td>23~25</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>6.75</td>\n",
       "      <td>6.75</td>\n",
       "      <td>6.67</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.33</td>\n",
       "      <td>6.33</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.61</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>74</th>\n",
       "      <td>30</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>...</td>\n",
       "      <td>6.25</td>\n",
       "      <td>6.50</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>6.33</td>\n",
       "      <td>7.00</td>\n",
       "      <td>6.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>77</th>\n",
       "      <td>26~29</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>3</td>\n",
       "      <td>...</td>\n",
       "      <td>4.50</td>\n",
       "      <td>4.50</td>\n",
       "      <td>4.33</td>\n",
       "      <td>5.33</td>\n",
       "      <td>4.33</td>\n",
       "      <td>5.00</td>\n",
       "      <td>4.67</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.33</td>\n",
       "      <td>4.94</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>84</th>\n",
       "      <td>23~25</td>\n",
       "      <td>4</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>3</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>...</td>\n",
       "      <td>4.38</td>\n",
       "      <td>4.50</td>\n",
       "      <td>4.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>4.33</td>\n",
       "      <td>4.67</td>\n",
       "      <td>5.33</td>\n",
       "      <td>5.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>88</th>\n",
       "      <td>20~22</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>1</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>...</td>\n",
       "      <td>6.12</td>\n",
       "      <td>6.25</td>\n",
       "      <td>6.00</td>\n",
       "      <td>6.00</td>\n",
       "      <td>5.00</td>\n",
       "      <td>5.67</td>\n",
       "      <td>4.67</td>\n",
       "      <td>5.67</td>\n",
       "      <td>6.33</td>\n",
       "      <td>5.56</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>22 rows × 48 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "      age  status  work1  work2  work3  work4  work5  work6  know1  know2  \\\n",
       "0   23~25       1      5      5      5      6      3      4      5      3   \n",
       "11  23~25       2      6      6      5      2      2      3      7      7   \n",
       "18  20~22       2      5      7      3      2      2      5      6      6   \n",
       "19  23~25       5      1      1      5      2      1      5      6      7   \n",
       "20  23~25       1      5      6      5      5      3      6      4      5   \n",
       "25  23~25       3      5      6      6      5      2      3      5      5   \n",
       "26  23~25       1      3      3      4      4      2      2      6      5   \n",
       "30  20~22       1      4      4      5      6      4      2      4      5   \n",
       "39  20~22       2      5      4      4      3      2      5      6      6   \n",
       "41  23~25       1      4      2      6      6      5      7      5      6   \n",
       "46  20~22       4      6      5      3      5      3      6      5      5   \n",
       "49  20~22       1      4      4      5      5      3      6      7      7   \n",
       "54  23~25       2      4      7      6      5      6      7      7      7   \n",
       "56     30       4      6      6      6      6      6      6      7      7   \n",
       "57  20~22       2      2      2      5      4      2      4      6      6   \n",
       "62     30       4      6      4      5      5      2      2      5      3   \n",
       "67  23~25       1      2      2      6      5      1      6      7      7   \n",
       "72  23~25       4      5      5      5      6      4      3      7      7   \n",
       "74     30       4      5      5      4      6      4      5      5      7   \n",
       "77  26~29       4      1      2      1      6      3      3      6      3   \n",
       "84  23~25       4      1      2      3      1      1      2      5      5   \n",
       "88  20~22       1      1      1      7      6      2      1      6      6   \n",
       "\n",
       "    ...  knowAvg  knowAvg1  knowAvg2  timeAvg  physicAvg  mentalAvg relatnAvg  \\\n",
       "0   ...     5.25      4.25      6.33     5.00       5.67       6.00      5.33   \n",
       "11  ...     6.62      7.00      6.67     5.67       6.00       7.00      4.67   \n",
       "18  ...     6.12      6.00      6.00     5.00       5.00       5.67      5.00   \n",
       "19  ...     6.50      6.25      6.67     5.33       6.00       6.33      5.67   \n",
       "20  ...     4.75      4.50      5.00     6.00       4.67       6.00      6.33   \n",
       "25  ...     5.50      5.25      5.67     5.67       6.33       6.00      6.00   \n",
       "26  ...     6.25      6.00      7.00     6.67       5.67       6.00      5.33   \n",
       "30  ...     6.00      5.50      6.67     6.67       5.00       6.00      5.00   \n",
       "39  ...     6.12      6.00      6.00     5.33       5.33       5.00      5.67   \n",
       "41  ...     6.38      6.25      7.00     7.00       6.33       7.00      4.33   \n",
       "46  ...     6.00      5.75      6.00     4.67       5.00       2.00      5.00   \n",
       "49  ...     7.00      7.00      7.00     6.00       6.00       5.67      5.67   \n",
       "54  ...     6.88      7.00      7.00     6.00       5.00       5.33      5.00   \n",
       "56  ...     6.38      6.50      6.00     6.00       5.33       5.67      5.00   \n",
       "57  ...     5.88      5.75      5.67     4.67       5.33       5.33      6.00   \n",
       "62  ...     5.50      5.00      6.33     6.33       5.33       6.67      4.33   \n",
       "67  ...     6.50      6.75      6.33     6.67       6.33       6.67      6.67   \n",
       "72  ...     6.75      6.75      6.67     7.00       6.33       6.33      7.00   \n",
       "74  ...     6.25      6.50      6.00     6.00       5.67       6.00      5.00   \n",
       "77  ...     4.50      4.50      4.33     5.33       4.33       5.00      4.67   \n",
       "84  ...     4.38      4.50      4.00     5.00       4.33       4.67      5.33   \n",
       "88  ...     6.12      6.25      6.00     6.00       5.00       5.67      4.67   \n",
       "\n",
       "    improvAvg leisrAvg  scAvg  \n",
       "0        6.00     5.67   5.61  \n",
       "11       5.00     6.00   5.72  \n",
       "18       6.67     7.00   5.72  \n",
       "19       5.67     7.00   6.00  \n",
       "20       6.00     7.00   6.00  \n",
       "25       6.00     6.67   6.11  \n",
       "26       6.67     7.00   6.22  \n",
       "30       4.67     7.00   5.72  \n",
       "39       6.33     6.00   5.61  \n",
       "41       6.33     6.00   6.16  \n",
       "46       5.00     5.33   4.50  \n",
       "49       6.67     7.00   6.17  \n",
       "54       5.67     5.00   5.33  \n",
       "56       5.67     5.33   5.50  \n",
       "57       6.00     5.67   5.50  \n",
       "62       6.67     7.00   6.06  \n",
       "67       6.33     6.00   6.44  \n",
       "72       6.00     7.00   6.61  \n",
       "74       6.33     7.00   6.00  \n",
       "77       5.00     5.33   4.94  \n",
       "84       5.00     6.00   5.06  \n",
       "88       5.67     6.33   5.56  \n",
       "\n",
       "[22 rows x 48 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 2안\n",
    "df_knowWell[df_knowWell['timeAvg'] > 4] # 60명 / 81명\n",
    "df_knowWell[df_knowWell['physicAvg'] > 4] # 51명 / 81명\n",
    "df_knowWell[df_knowWell['physicAvg'] > 4] # 62명 / 81명\n",
    "df_knowWell[df_knowWell['relatnAvg'] > 4] # 49명 / 81명\n",
    "df_knowWell[df_knowWell['improvAvg'] > 4] # 67명 / 81명\n",
    "df_knowWell[df_knowWell['leisrAvg'] > 4] # 71명 / 81명\n",
    "df_knowWell[(df_knowWell['timeAvg'] > 4) & (df_knowWell['physicAvg'] > 4) & (df_knowWell['physicAvg'] > 4) & (df_knowWell['relatnAvg'] > 4) & (df_knowWell['improvAvg'] > 4) & (df_knowWell['leisrAvg'] > 4)]\n",
    "# 모두 평균 초과 29명 / 81명"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "9b19aa14",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자기 돌봄 필요성 그래프\n",
    "scWill_counts = df['scWill'].value_counts()\n",
    "plt.pie(scWill_counts, labels=['Yes', 'No'], autopct='%1.1f%%', startangle=180)\n",
    "plt.title('Self-care Will')\n",
    "plt.axis('equal')  # 원형으로 표시하기 위해 설정\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "53f25257",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자기 돌봄의 실천\n",
    "scAction_freq = df['scAction'].value_counts().sort_index()\n",
    "plt.bar(scAction_freq.index, scAction_freq.values)\n",
    "plt.title('Self-care Action')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "210562f2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'timeAvg')"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자기 돌봄 실천 양상 a. 절대적인 시간 (time)\n",
    "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n",
    "\n",
    "time1_freq = df['time1'].value_counts().sort_index()\n",
    "axs[0,0].bar(time1_freq.index, time1_freq.values)\n",
    "axs[0,0].set_title(\"time1\")\n",
    "\n",
    "time2_freq = df['time2'].value_counts().sort_index()\n",
    "axs[0,1].bar(time2_freq.index, time2_freq.values)\n",
    "axs[0,1].set_title(\"time2\")\n",
    "\n",
    "time3_freq = df['time3'].value_counts().sort_index()\n",
    "axs[1,0].bar(time3_freq.index, time3_freq.values)\n",
    "axs[1,0].set_title('time3')\n",
    "\n",
    "timeAvg_freq = df['timeAvg'].value_counts().sort_index()\n",
    "axs[1,1].bar(timeAvg_freq.index, timeAvg_freq.values)\n",
    "axs[1,1].set_title('timeAvg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "fcf7ecef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'physicAvg')"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자기 돌봄 실천 양상 b. 신체적 (physic)\n",
    "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n",
    "\n",
    "physic1_freq = df['physic1'].value_counts().sort_index()\n",
    "axs[0,0].bar(physic1_freq.index, physic1_freq.values)\n",
    "axs[0,0].set_title(\"physic1\")\n",
    "\n",
    "physic2_freq = df['physic2'].value_counts().sort_index()\n",
    "axs[0,1].bar(physic2_freq.index, physic2_freq.values)\n",
    "axs[0,1].set_title(\"physic2\")\n",
    "\n",
    "physic3_freq = df['physic3'].value_counts().sort_index()\n",
    "axs[1,0].bar(physic3_freq.index, physic3_freq.values)\n",
    "axs[1,0].set_title('physic3')\n",
    "\n",
    "physicAvg_freq = df['physicAvg'].value_counts().sort_index()\n",
    "axs[1,1].bar(physicAvg_freq.index, physicAvg_freq.values)\n",
    "axs[1,1].set_title('physicAvg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "67f9ceb5",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, 'mentalAvg')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x800 with 4 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 자기 돌봄 실천 양상 c. 신체적 (mental)\n",
    "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n",
    "\n",
    "mental1_freq = df['mental1'].value_counts().sort_index()\n",
    "axs[0,0].bar(mental1_freq.index, mental1_freq.values)\n",
    "axs[0,0].set_title(\"mental1\")\n",
    "\n",
    "mental2_freq = df['mental2'].value_counts().sort_index()\n",
    "axs[0,1].bar(mental2_freq.index, mental2_freq.values)\n",
    "axs[0,1].set_title(\"mental2\")\n",
    "\n",
    "mental3_freq = df['mental3'].value_counts().sort_index()\n",
    "axs[1,0].bar(mental3_freq.index, mental3_freq.values)\n",
    "axs[1,0].set_title('mental3')\n",
    "\n",
    "mentalAvg_freq = df['mentalAvg'].value_counts().sort_index()\n",
    "axs[1,1].bar(mentalAvg_freq.index, mentalAvg_freq.values)\n",
    "axs[1,1].set_title('mentalAvg')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "6018ce1c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0    45\n",
       "1    31\n",
       "2    24\n",
       "Name: label, dtype: int64"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 번외) 클러스터 분석\n",
    "# 1. 일 - 자기돌봄\n",
    "from sklearn.cluster import KMeans\n",
    "\n",
    "scaled_df = pd.DataFrame()\n",
    "scaled_df['workAvg'] = df['workAvg'] # workAvg\n",
    "scaled_df['scAvg'] = df['scAvg'] # scAvg\n",
    "\n",
    "model = KMeans(n_clusters=3, random_state=123)\n",
    "model.fit(scaled_df)\n",
    "scaled_df['label'] = model.predict(scaled_df)\n",
    "scaled_df['label'].value_counts()\n",
    "\n",
    "sns.scatterplot(x= scaled_df['workAvg'], y= scaled_df['scAvg'], hue= scaled_df['label'], s=200)\n",
    "\n",
    "groupby_df = scaled_df.groupby('label').mean()\n",
    "scaled_df['label'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "db1dc612",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1500x500 with 3 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 각 그룹 자기돌봄 못하는 이유 추출해서 보기\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "def whycount(df, ax):\n",
    "    why = df['scNoWhy'].dropna()\n",
    "    # 0 = noTime\n",
    "    # 1 = noEnergy\n",
    "    # 2 = xKnow\n",
    "    # 3 = tiresome\n",
    "    # 4 = noNeed\n",
    "    # 5 = etc\n",
    "\n",
    "    why_cnt = [0 for j in range(6)]\n",
    "    for i in why.index:\n",
    "        text = why[i]\n",
    "        text = text.replace('noTime', '0')\n",
    "        text = text.replace('noEnergy', '1')\n",
    "        text = text.replace('xKnow', '2')\n",
    "        text = text.replace('tiresome', '3')\n",
    "        text = text.replace('noNeed', '4')\n",
    "        text = text.replace('etc', '5')\n",
    "        new_text = text.split(\", \")\n",
    "        for j in range(len(new_text)):\n",
    "            for k in range(6):\n",
    "                if new_text[j] == str(k):\n",
    "                    why_cnt[k] += 1\n",
    "    xlabels = ['noTime', 'noEnergy', 'xKnow', 'tiresome', 'noNeed', 'etc']\n",
    "    total_cnt = sum(why_cnt)\n",
    "    if total_cnt > 0:\n",
    "        why_pct = [cnt/total_cnt for cnt in why_cnt]\n",
    "    else:\n",
    "        why_pct = [0 for _ in why_cnt]\n",
    "        \n",
    "    ax.pie(why_pct, labels=xlabels, autopct='%1.1f%%')\n",
    "    ax.set_title('Reasons for No Self-care Action')\n",
    "    return why_cnt\n",
    "\n",
    "# 데이터 준비\n",
    "df_g0 = df[scaled_df['label'] == 0]\n",
    "df_g1 = df[scaled_df['label'] == 1]\n",
    "df_g2 = df[scaled_df['label'] == 2]\n",
    "\n",
    "# Figure와 subplot 생성\n",
    "fig, axs = plt.subplots(1, 3, figsize=(15, 5))\n",
    "\n",
    "# 각 그룹에 대해 whycount 함수 호출 및 subplot에 그래프 그리기\n",
    "whycount(df_g0, axs[0])\n",
    "axs[0].set_title('Group 0')\n",
    "\n",
    "whycount(df_g1, axs[1])\n",
    "axs[1].set_title('Group 1')\n",
    "\n",
    "whycount(df_g2, axs[2])\n",
    "axs[2].set_title('Group 2')\n",
    "\n",
    "# 그래프를 보기 좋게 조정\n",
    "plt.tight_layout()\n",
    "\n",
    "# 그래프 출력\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "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": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}