{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "0ba7d082",
   "metadata": {},
   "source": [
    "# M4A 판매데이터 시각화 분석 고급응용\n",
    "- 실전적인 판매데이터 고급분석 - 고객분석\n",
    "- 실전적인 판매데이터 고급분석 - 상품분석(외부데이터 결합분석)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "32e6266e",
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "from numpy.polynomial.polynomial import polyfit\n",
    "\n",
    "# define random jitter\n",
    "def rjitt(arr):\n",
    "    stdev = .01*(max(arr)-min(arr))\n",
    "    return arr + np.random.randn(len(arr)) * stdev\n",
    "\n",
    "# custom min max scaler\n",
    "def mnmx_scl(vec):\n",
    "    vec = (vec-vec.min())/(vec.max()-vec.min())\n",
    "    return(vec)\n",
    "\n",
    "def zrmx_scl(vec):\n",
    "    vec = vec/vec.max()\n",
    "    return(vec)\n",
    "\n",
    "\n",
    "import warnings\n",
    "warnings.filterwarnings('ignore')\n",
    "\n",
    "\n",
    "# local data path\n",
    "# dataPath = 'D:/YONG/myPydata/' # 데이터 위치는 사용자 지정\n",
    "dataPath = 'C:/Users/kofot/fashionRetailAnalysisPy_4a-20230629T052521Z-001/fashionRetailAnalysisPy_4a/' # 생성위치는 사용자 지정\n",
    "\n",
    "import matplotlib.font_manager\n",
    "\n",
    "# matplotlib 에서 한글을 표시하기 위한 설정\n",
    "font_name = matplotlib.font_manager.FontProperties(\n",
    "                fname=\"c:/Windows/Fonts/malgun.ttf\"  # 윈도우즈의 한글 폰트 위치를 지정\n",
    "            ).get_name()\n",
    "matplotlib.rc('font', family=font_name)\n",
    "\n",
    "matplotlib.rcParams['axes.unicode_minus'] = False #  음수를 나타내는 '-' 부호가 정상 표시되도록\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "c18ba7f1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# \n",
    "# pd.DataFrame(pd.read_csv(dataPath + 'amazon_co-ecommerce_sample.csv').product_name.value_counts()).sort_values('product_name', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "1b047bb2",
   "metadata": {},
   "outputs": [],
   "source": [
    "# pd.read_csv(dataPath + 'amazon_co-ecommerce_sample.csv').columns"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e675e4dc",
   "metadata": {},
   "source": [
    "### 데이터 불러오기"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "369d361d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 상품 테이블 불러오기\n",
    "itemmast = pd.read_csv(dataPath + 'brk_itemmast01.csv', encoding='euc-kr')\n",
    "itemmast = itemmast.drop(itemmast.columns[0], axis=1)\n",
    "\n",
    "\n",
    "# 판매내역 테이블 불러오기\n",
    "sales = pd.read_csv(dataPath + 'brk_salesmast01.csv', encoding='euc-kr')\n",
    "sales = sales.drop(sales.columns[0], axis=1)\n",
    "\n",
    "\n",
    "# 고객 테이블 불러오기\n",
    "custmast = pd.read_csv(dataPath + 'brk_custmast01.csv', encoding='euc-kr')\n",
    "custmast = custmast.drop(custmast.columns[0], axis=1)\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "abf78e68",
   "metadata": {},
   "source": [
    "## 실전적인 판매데이터 고급분석 예제 - 고객분석"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8ef1039c",
   "metadata": {},
   "source": [
    "### [예제1] 구매패턴에 고객유형별로 계절적 차이가 있는가?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "efce235b",
   "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>cust_id</th>\n",
       "      <th>datea</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B100048542</td>\n",
       "      <td>2019-10-26</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B100026268</td>\n",
       "      <td>2019-10-28</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      cust_id       datea\n",
       "0  B100048542  2019-10-26\n",
       "1  B100026268  2019-10-28"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>cust_id</th>\n",
       "      <th>saleMonth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2829</th>\n",
       "      <td>B100054213</td>\n",
       "      <td>2019-02</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>204</th>\n",
       "      <td>B100097277</td>\n",
       "      <td>2019-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8550</th>\n",
       "      <td>B100017387</td>\n",
       "      <td>2019-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20894</th>\n",
       "      <td>B100015847</td>\n",
       "      <td>2019-11</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23762</th>\n",
       "      <td>B100018324</td>\n",
       "      <td>2019-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4224</th>\n",
       "      <td>B100008392</td>\n",
       "      <td>2019-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5196</th>\n",
       "      <td>B100029537</td>\n",
       "      <td>2019-12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12014</th>\n",
       "      <td>B100008814</td>\n",
       "      <td>2020-03</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17896</th>\n",
       "      <td>B100005254</td>\n",
       "      <td>2020-06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33396</th>\n",
       "      <td>B100076511</td>\n",
       "      <td>2020-12</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          cust_id saleMonth\n",
       "2829   B100054213   2019-02\n",
       "204    B100097277   2019-10\n",
       "8550   B100017387   2019-11\n",
       "20894  B100015847   2019-11\n",
       "23762  B100018324   2019-12\n",
       "4224   B100008392   2019-12\n",
       "5196   B100029537   2019-12\n",
       "12014  B100008814   2020-03\n",
       "17896  B100005254   2020-06\n",
       "33396  B100076511   2020-12"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 월별 구매고객수 패턴 파악\n",
    "\n",
    "# 월별 구매고객 테이블 생성\n",
    "sales01 = sales[['cust_id', 'datea']].drop_duplicates()\n",
    "display(sales01.head(2))\n",
    "\n",
    "\n",
    "sales01['saleMonth'] = sales01.datea.str.slice(0,7) # 월까지만 잘라옴\n",
    "sales01 = sales01[['cust_id', 'saleMonth']].drop_duplicates() # 몇 달 왔는지\n",
    "sales01 = sales01[~sales01.cust_id.isna()] # 번호 없음 Coverage 관련\n",
    "sales01.sample(10).sort_values('saleMonth') "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "16dbd93e",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "3e622688",
   "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>saleMonth</th>\n",
       "      <th>cust_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2020-08</td>\n",
       "      <td>799</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>2020-09</td>\n",
       "      <td>1306</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>2020-10</td>\n",
       "      <td>765</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>2020-11</td>\n",
       "      <td>1721</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2020-12</td>\n",
       "      <td>1699</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   saleMonth  cust_id\n",
       "19   2020-08      799\n",
       "20   2020-09     1306\n",
       "21   2020-10      765\n",
       "22   2020-11     1721\n",
       "23   2020-12     1699"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 월별 고객수 집계 생성\n",
    "# [가정수립] 동일 월에 동일 고객 복수 구매가 있어도 한 건으로 계산\n",
    "\n",
    "dfmonCusts = sales01.groupby('saleMonth').count().reset_index()\n",
    "display(dfmonCusts.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "3ec11b76",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 고객수 추이 시각화\n",
    "\n",
    "colors1 = np.where(dfmonCusts.saleMonth.str.slice(0,4)=='2019', \n",
    "                   'grey', 'dodgerblue')\n",
    "colors2 = np.where(dfmonCusts.cust_id==dfmonCusts.cust_id.max(), 'red',colors1)\n",
    "\n",
    "plt.figure(figsize=(16,4))\n",
    "plt.bar(dfmonCusts.saleMonth, dfmonCusts.cust_id, color=colors2, alpha=0.5)\n",
    "plt.xticks(rotation=90)\n",
    "plt.ylabel('구매고객수')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "4825777d",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "9cf1b0ae",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "e2e6ad0b",
   "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>cust_id</th>\n",
       "      <th>saleMonth</th>\n",
       "      <th>month_flag</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B100048542</td>\n",
       "      <td>2019-10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B100026268</td>\n",
       "      <td>2019-10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B100009871</td>\n",
       "      <td>2019-01</td>\n",
       "      <td>01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B100051628</td>\n",
       "      <td>2019-09</td>\n",
       "      <td>09</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>B100075455</td>\n",
       "      <td>2019-10</td>\n",
       "      <td>10</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "      cust_id saleMonth month_flag\n",
       "0  B100048542   2019-10         10\n",
       "1  B100026268   2019-10         10\n",
       "2  B100009871   2019-01         01\n",
       "3  B100051628   2019-09         09\n",
       "5  B100075455   2019-10         10"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 연도를 무시하고 월만 기준으로 집계\n",
    "\n",
    "sales01['month_flag'] = sales01.saleMonth.str.slice(5,7)\n",
    "sales01.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "738f491d",
   "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>month_flag</th>\n",
       "      <th>cust_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>1495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>2392</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>2495</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>3143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>3399</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   month_flag  cust_id\n",
       "7          08     1495\n",
       "8          09     2392\n",
       "9          10     2495\n",
       "10         11     3143\n",
       "11         12     3399"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 월별 고객수 집계 생성\n",
    "# 동일 연월에 동일 고객 복수 구매가 있어도 한 건으로 계산\n",
    "\n",
    "dfmonCusts1 = sales01[['month_flag','cust_id']].groupby('month_flag').count().reset_index()\n",
    "display(dfmonCusts1.tail())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "6abf18e4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 고객수 계절패턴 시각화 - 연도 무시\n",
    "\n",
    "# 구매고객수가 많은 계절과 적은 계절을 색상으로 구별\n",
    "colors1 = np.where(dfmonCusts1.cust_id>dfmonCusts1.cust_id.median(), 'green', 'navy')\n",
    "colors2 = np.where(dfmonCusts1.cust_id>np.percentile(dfmonCusts1.cust_id, 80), 'green', 'navy') # 매우 자주 사용해 \n",
    "# 소수의 중요한 것들에 집중해서 보기 때문에 상위 10%, 20% 이런 식으로 보는 건 매우 중요함\n",
    "\n",
    "plt.bar(dfmonCusts1.month_flag, dfmonCusts1.cust_id,\n",
    "       color=colors1, alpha=0.7)\n",
    "plt.ylabel('구매고객수')\n",
    "plt.show()\n",
    "\n",
    "# 소수의 중요한 것들에 집중해서 보기 때문에 상위 10%, 20% 이런 식으로 보는 건 매우 중요함\n",
    "\n",
    "plt.bar(dfmonCusts1.month_flag, dfmonCusts1.cust_id,\n",
    "       color=colors2, alpha=0.7)\n",
    "plt.ylabel('구매고객수')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "aa8adf1a",
   "metadata": {},
   "source": [
    "- 12,11월 겨울 시즌 구매고객 많음\n",
    "- 9,10,1,5월도 상대적으로 구매고객 많은 시즌"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "67379f25",
   "metadata": {},
   "source": [
    "**[응용연습 : 다른 방식으로 처리해보기]** \n",
    "- 구매고객수가 많은 계절과 적은 계절을 색상으로 구별하기 위해\n",
    "- 먼저 구매고객수가 중위수를 넘는지 여부를 나타내는 컬럼을 dfmonCusts1 데이터프레임에 추가\n",
    "- 추가된 컬럼을 사용하여 막대 챠트에 색상 구분 표시"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6dd8660c",
   "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>cust_id</th>\n",
       "      <th>month_flag</th>\n",
       "      <th>saleMonth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>1999</th>\n",
       "      <td>B100008039</td>\n",
       "      <td>09</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2000</th>\n",
       "      <td>B100008039</td>\n",
       "      <td>12</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1997</th>\n",
       "      <td>B100008024</td>\n",
       "      <td>03</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1996</th>\n",
       "      <td>B100008019</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1994</th>\n",
       "      <td>B100008017</td>\n",
       "      <td>04</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1995</th>\n",
       "      <td>B100008017</td>\n",
       "      <td>07</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1993</th>\n",
       "      <td>B100008014</td>\n",
       "      <td>04</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1989</th>\n",
       "      <td>B100007997</td>\n",
       "      <td>06</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1990</th>\n",
       "      <td>B100007997</td>\n",
       "      <td>08</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1991</th>\n",
       "      <td>B100007997</td>\n",
       "      <td>09</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         cust_id month_flag  saleMonth\n",
       "1999  B100008039         09          1\n",
       "2000  B100008039         12          1\n",
       "1997  B100008024         03          1\n",
       "1996  B100008019         11          1\n",
       "1994  B100008017         04          1\n",
       "1995  B100008017         07          1\n",
       "1993  B100008014         04          1\n",
       "1989  B100007997         06          2\n",
       "1990  B100007997         08          2\n",
       "1991  B100007997         09          1"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 각 고객별로 가장 많이 구매한 월은?\n",
    "\n",
    "dfcustMons = sales01.groupby(['cust_id','month_flag']).count().reset_index()\n",
    "dfcustMons = dfcustMons.sort_values(['cust_id','saleMonth'], ascending=[False,False])\n",
    "dfcustMons.tail(2000).head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "id": "29818834",
   "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>cust_id</th>\n",
       "      <th>month_flag</th>\n",
       "      <th>saleMonth</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>23502</th>\n",
       "      <td>B100094746</td>\n",
       "      <td>02</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23500</th>\n",
       "      <td>B100094738</td>\n",
       "      <td>11</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23494</th>\n",
       "      <td>B100094728</td>\n",
       "      <td>01</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23493</th>\n",
       "      <td>B100094727</td>\n",
       "      <td>02</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23492</th>\n",
       "      <td>B100094722</td>\n",
       "      <td>01</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          cust_id month_flag  saleMonth\n",
       "23502  B100094746         02          1\n",
       "23500  B100094738         11          2\n",
       "23494  B100094728         01          1\n",
       "23493  B100094727         02          1\n",
       "23492  B100094722         01          1"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 고객별로 가장 많이 구매한 1개 월만 추출\n",
    "\n",
    "dfcustMons1 = dfcustMons.groupby('cust_id').head(1)  # Top N을 뽑을때 먼저 정렬하고, 그룹(예: 상품군, 고객 등등)별로 맨위 N개줄을\n",
    "dfcustMons1.head(800).tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "id": "e01744f0",
   "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>cust_id</th>\n",
       "      <th>month_flag</th>\n",
       "      <th>saleMonth</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B100099990</td>\n",
       "      <td>04</td>\n",
       "      <td>1</td>\n",
       "      <td>40</td>\n",
       "      <td>F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B100099981</td>\n",
       "      <td>09</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B100099976</td>\n",
       "      <td>11</td>\n",
       "      <td>1</td>\n",
       "      <td>29</td>\n",
       "      <td>F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B100099970</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>51</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>B100099964</td>\n",
       "      <td>02</td>\n",
       "      <td>1</td>\n",
       "      <td>42</td>\n",
       "      <td>F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15560</th>\n",
       "      <td>B100000037</td>\n",
       "      <td>07</td>\n",
       "      <td>1</td>\n",
       "      <td>41</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15561</th>\n",
       "      <td>B100000023</td>\n",
       "      <td>05</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
       "      <td>F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15562</th>\n",
       "      <td>B100000022</td>\n",
       "      <td>10</td>\n",
       "      <td>1</td>\n",
       "      <td>28</td>\n",
       "      <td>F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15563</th>\n",
       "      <td>B100000005</td>\n",
       "      <td>01</td>\n",
       "      <td>1</td>\n",
       "      <td>32</td>\n",
       "      <td>F</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15564</th>\n",
       "      <td>B100000003</td>\n",
       "      <td>04</td>\n",
       "      <td>1</td>\n",
       "      <td>52</td>\n",
       "      <td>M</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15565 rows × 5 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          cust_id month_flag  saleMonth  age sex\n",
       "0      B100099990         04          1   40   F\n",
       "1      B100099981         09          1   41   M\n",
       "2      B100099976         11          1   29   F\n",
       "3      B100099970         10          1   51   M\n",
       "4      B100099964         02          1   42   F\n",
       "...           ...        ...        ...  ...  ..\n",
       "15560  B100000037         07          1   41   M\n",
       "15561  B100000023         05          1   27   F\n",
       "15562  B100000022         10          1   28   F\n",
       "15563  B100000005         01          1   32   F\n",
       "15564  B100000003         04          1   52   M\n",
       "\n",
       "[15565 rows x 5 columns]"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 구매월 테이블에 고객의 성별, 연령 기본 속성 정보 결합\n",
    "\n",
    "dfcustMons2 = dfcustMons1.merge(custmast[['cust_id','age','sex']], how='left', on='cust_id')\n",
    "dfcustMons2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "id": "d6c89644",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>sex</th>\n",
       "      <th>month_flag</th>\n",
       "      <th>F</th>\n",
       "      <th>M</th>\n",
       "      <th>r_Female</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>1491</td>\n",
       "      <td>528</td>\n",
       "      <td>0.738484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>1028</td>\n",
       "      <td>293</td>\n",
       "      <td>0.778198</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>1022</td>\n",
       "      <td>338</td>\n",
       "      <td>0.751471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>838</td>\n",
       "      <td>333</td>\n",
       "      <td>0.715628</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>958</td>\n",
       "      <td>477</td>\n",
       "      <td>0.667596</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>703</td>\n",
       "      <td>342</td>\n",
       "      <td>0.672727</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>563</td>\n",
       "      <td>247</td>\n",
       "      <td>0.695062</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>540</td>\n",
       "      <td>277</td>\n",
       "      <td>0.660955</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>861</td>\n",
       "      <td>466</td>\n",
       "      <td>0.648832</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>787</td>\n",
       "      <td>483</td>\n",
       "      <td>0.619685</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>916</td>\n",
       "      <td>593</td>\n",
       "      <td>0.607025</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>815</td>\n",
       "      <td>666</td>\n",
       "      <td>0.550304</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "sex month_flag     F    M  r_Female\n",
       "0           01  1491  528  0.738484\n",
       "1           02  1028  293  0.778198\n",
       "2           03  1022  338  0.751471\n",
       "3           04   838  333  0.715628\n",
       "4           05   958  477  0.667596\n",
       "5           06   703  342  0.672727\n",
       "6           07   563  247  0.695062\n",
       "7           08   540  277  0.660955\n",
       "8           09   861  466  0.648832\n",
       "9           10   787  483  0.619685\n",
       "10          11   916  593  0.607025\n",
       "11          12   815  666  0.550304"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 성별 월별 고객수 집계\n",
    "\n",
    "dfcustMons2_s1 = pd.crosstab(dfcustMons2.month_flag, dfcustMons2.sex).reset_index()\n",
    "dfcustMons2_s1['r_Female'] = dfcustMons2_s1.F/(dfcustMons2_s1.F+dfcustMons2_s1.M)\n",
    "dfcustMons2_s1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "id": "78581814",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(dfcustMons2_s1.month_flag, dfcustMons2_s1.r_Female)\n",
    "plt.ylabel('여성고객비율')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "5bad67a4",
   "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>month_flag</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>35.212481</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>35.573808</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>35.205147</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>35.231426</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>35.677352</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>35.455502</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>35.980247</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>34.925337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>35.330068</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>35.290551</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>35.636846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>35.716408</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   month_flag        age\n",
       "0          01  35.212481\n",
       "1          02  35.573808\n",
       "2          03  35.205147\n",
       "3          04  35.231426\n",
       "4          05  35.677352\n",
       "5          06  35.455502\n",
       "6          07  35.980247\n",
       "7          08  34.925337\n",
       "8          09  35.330068\n",
       "9          10  35.290551\n",
       "10         11  35.636846\n",
       "11         12  35.716408"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 월별 주구매고객 연령평균 집계\n",
    "\n",
    "dfcustMons2_s2 = dfcustMons2[['month_flag','age']].groupby('month_flag').mean().reset_index()\n",
    "dfcustMons2_s2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "a99aff2b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(dfcustMons2_s2.month_flag, dfcustMons2_s2.age)\n",
    "plt.ylabel('평균연령')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "bb124c54",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0.23704109441975843"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "np.corrcoef(dfcustMons2_s2.month_flag.astype(int), dfcustMons2_s2.age)[0,1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ae2026c1",
   "metadata": {},
   "source": [
    "- 평균연령에서는 별 차이 없음"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "ed04e7ea",
   "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>month_flag</th>\n",
       "      <th>is_young</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>0.267459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>0.255110</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>0.263971</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>0.263023</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>0.222300</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>0.230622</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>0.246914</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>0.260710</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>0.257724</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.246457</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>0.231279</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0.224848</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   month_flag  is_young\n",
       "0          01  0.267459\n",
       "1          02  0.255110\n",
       "2          03  0.263971\n",
       "3          04  0.263023\n",
       "4          05  0.222300\n",
       "5          06  0.230622\n",
       "6          07  0.246914\n",
       "7          08  0.260710\n",
       "8          09  0.257724\n",
       "9          10  0.246457\n",
       "10         11  0.231279\n",
       "11         12  0.224848"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 월별 주구매고객 중 젊은 고객수 비율 집계\n",
    "\n",
    "dfcustMons21 = dfcustMons2[['month_flag','age']]\n",
    "# 28세 이하를 젊은 고객으로 설정\n",
    "dfcustMons21['is_young'] = np.where(dfcustMons21.age<=28,1,0)\n",
    "dfcustMons21\n",
    "dfcustMons2_s3 = dfcustMons21[['month_flag','is_young']].groupby('month_flag').mean().reset_index()\n",
    "dfcustMons2_s3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "f97c8fd3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(dfcustMons2_s3.month_flag, dfcustMons2_s3.is_young)\n",
    "plt.ylabel('젊은 고객(28세이하) 비율')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "ee029e91",
   "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>month_flag</th>\n",
       "      <th>is_48plus</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>0.106488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>0.118092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>0.101471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>0.103330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>0.111498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>0.096651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>0.127160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>0.099143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>0.107762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.103937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>0.112657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0.116813</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   month_flag  is_48plus\n",
       "0          01   0.106488\n",
       "1          02   0.118092\n",
       "2          03   0.101471\n",
       "3          04   0.103330\n",
       "4          05   0.111498\n",
       "5          06   0.096651\n",
       "6          07   0.127160\n",
       "7          08   0.099143\n",
       "8          09   0.107762\n",
       "9          10   0.103937\n",
       "10         11   0.112657\n",
       "11         12   0.116813"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 월별 주구매고객 중년이상고객수 비율 집계\n",
    "\n",
    "dfcustMons21 = dfcustMons2[['month_flag','age']]\n",
    "# 48세 이상을 젊은 고객으로 설정\n",
    "dfcustMons21['is_48plus'] = np.where(dfcustMons21.age>=48,1,0)\n",
    "dfcustMons2_s4 = dfcustMons21[['month_flag','is_48plus']].groupby('month_flag').mean().reset_index()\n",
    "dfcustMons2_s4"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "2cb74fa4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(dfcustMons2_s4.month_flag, dfcustMons2_s4.is_48plus)\n",
    "plt.ylabel('중년이상(48세이상) 고객 비율')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2a3408a5",
   "metadata": {},
   "source": [
    "- 2월, 7월, 11~12월 지점에 중년이상 고객 비율 높음\n",
    "- 단순 평균 비교와는 다른 패턴 파악됨"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "a929f521",
   "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>month_flag</th>\n",
       "      <th>is_young</th>\n",
       "      <th>is_2947</th>\n",
       "      <th>is_48plus</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>0.267459</td>\n",
       "      <td>0.626053</td>\n",
       "      <td>0.106488</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>0.255110</td>\n",
       "      <td>0.626798</td>\n",
       "      <td>0.118092</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>0.263971</td>\n",
       "      <td>0.634559</td>\n",
       "      <td>0.101471</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>0.263023</td>\n",
       "      <td>0.633646</td>\n",
       "      <td>0.103330</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>0.222300</td>\n",
       "      <td>0.666202</td>\n",
       "      <td>0.111498</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>0.230622</td>\n",
       "      <td>0.672727</td>\n",
       "      <td>0.096651</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>0.246914</td>\n",
       "      <td>0.625926</td>\n",
       "      <td>0.127160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>0.260710</td>\n",
       "      <td>0.640147</td>\n",
       "      <td>0.099143</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>0.257724</td>\n",
       "      <td>0.634514</td>\n",
       "      <td>0.107762</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>0.246457</td>\n",
       "      <td>0.649606</td>\n",
       "      <td>0.103937</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>0.231279</td>\n",
       "      <td>0.656064</td>\n",
       "      <td>0.112657</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>0.224848</td>\n",
       "      <td>0.658339</td>\n",
       "      <td>0.116813</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   month_flag  is_young   is_2947  is_48plus\n",
       "0          01  0.267459  0.626053   0.106488\n",
       "1          02  0.255110  0.626798   0.118092\n",
       "2          03  0.263971  0.634559   0.101471\n",
       "3          04  0.263023  0.633646   0.103330\n",
       "4          05  0.222300  0.666202   0.111498\n",
       "5          06  0.230622  0.672727   0.096651\n",
       "6          07  0.246914  0.625926   0.127160\n",
       "7          08  0.260710  0.640147   0.099143\n",
       "8          09  0.257724  0.634514   0.107762\n",
       "9          10  0.246457  0.649606   0.103937\n",
       "10         11  0.231279  0.656064   0.112657\n",
       "11         12  0.224848  0.658339   0.116813"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfcustMons2_s5 = dfcustMons2_s3.merge(dfcustMons2_s4, how='left', on='month_flag')\n",
    "dfcustMons2_s5['is_2947'] = 1 - (dfcustMons2_s5.is_young + dfcustMons2_s5.is_48plus)\n",
    "\n",
    "# 컬럼순서 재정렬\n",
    "dfcustMons2_s5 = dfcustMons2_s5[['month_flag','is_young', 'is_2947','is_48plus']]\n",
    "dfcustMons2_s5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "id": "78d68eff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# plot bars in stack manner\n",
    "\n",
    "plt.figure(figsize=(10,6))\n",
    "plt.bar(dfcustMons2_s5.month_flag, dfcustMons2_s5.is_young, color='r')\n",
    "plt.bar(dfcustMons2_s5.month_flag, dfcustMons2_s5.is_2947, \n",
    "        bottom=dfcustMons2_s5.is_young, # 직전 막대의 위에 막대가 나타나도록 옵션 지정 \n",
    "        color='orange')\n",
    "plt.bar(dfcustMons2_s5.month_flag, dfcustMons2_s5.is_48plus, \n",
    "        bottom=dfcustMons2_s5.is_2947+dfcustMons2_s5.is_young, color='b')\n",
    "plt.legend(['~28', '29~47','48~'])\n",
    "plt.ylabel('주구매계절별 고객연령구성비')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "3234e3d2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 계절별 연령구성분포를 박스플롯으로\n",
    "\n",
    "dfcustMons2[['month_flag','age']].boxplot(by='month_flag', figsize=(10,5))\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5141630e",
   "metadata": {},
   "source": [
    "- 6, 7월 연령 구성이 좀 더 나이 많은 쪽임이 파악됨"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bc480ab1",
   "metadata": {},
   "source": [
    "### 주구매월과 구매 브랜드간 관계"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "c4d65d45",
   "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>cust_id</th>\n",
       "      <th>brand_nm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>B100000070</td>\n",
       "      <td>Shoote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>B100000055</td>\n",
       "      <td>Shoote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>B100000049</td>\n",
       "      <td>Shoote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>B100000043</td>\n",
       "      <td>Shoote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>B100000038</td>\n",
       "      <td>Shoote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>B100000037</td>\n",
       "      <td>Shoote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B100000023</td>\n",
       "      <td>Esteeme</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B100000022</td>\n",
       "      <td>Shoote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B100000005</td>\n",
       "      <td>Shoote</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B100000003</td>\n",
       "      <td>Shoote</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       cust_id brand_nm\n",
       "11  B100000070   Shoote\n",
       "9   B100000055   Shoote\n",
       "8   B100000049   Shoote\n",
       "7   B100000043   Shoote\n",
       "6   B100000038   Shoote\n",
       "5   B100000037   Shoote\n",
       "3   B100000023  Esteeme\n",
       "2   B100000022   Shoote\n",
       "1   B100000005   Shoote\n",
       "0   B100000003   Shoote"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 고객별로 주구매브랜드 파악\n",
    "\n",
    "saless05 = sales[['cust_id','brand_nm','amt']].groupby(['cust_id','brand_nm']).sum().reset_index()\n",
    "\n",
    "# 금액이 많은 브랜드 부터로 순서 미리 정렬\n",
    "saless05 = saless05.sort_values(['cust_id','amt'], ascending=[False,False])\n",
    "# 이미 정렬된 테이블에서 고객별 브랜드 1개 (금액많은) 추출\n",
    "saless05s1 = saless05[['cust_id','brand_nm']].groupby('cust_id').head(1)\n",
    "saless05s1.tail(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "0a64bd6b",
   "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>brand_nm</th>\n",
       "      <th>month_flag</th>\n",
       "      <th>Esteeme</th>\n",
       "      <th>Shoote</th>\n",
       "      <th>r_Esteeme</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>01</td>\n",
       "      <td>306</td>\n",
       "      <td>1713</td>\n",
       "      <td>0.151560</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>02</td>\n",
       "      <td>218</td>\n",
       "      <td>1103</td>\n",
       "      <td>0.165026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>03</td>\n",
       "      <td>202</td>\n",
       "      <td>1158</td>\n",
       "      <td>0.148529</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>04</td>\n",
       "      <td>184</td>\n",
       "      <td>987</td>\n",
       "      <td>0.157131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>05</td>\n",
       "      <td>207</td>\n",
       "      <td>1228</td>\n",
       "      <td>0.144251</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>06</td>\n",
       "      <td>133</td>\n",
       "      <td>912</td>\n",
       "      <td>0.127273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>07</td>\n",
       "      <td>122</td>\n",
       "      <td>688</td>\n",
       "      <td>0.150617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>08</td>\n",
       "      <td>113</td>\n",
       "      <td>704</td>\n",
       "      <td>0.138311</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>09</td>\n",
       "      <td>207</td>\n",
       "      <td>1120</td>\n",
       "      <td>0.155991</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>10</td>\n",
       "      <td>170</td>\n",
       "      <td>1100</td>\n",
       "      <td>0.133858</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>11</td>\n",
       "      <td>235</td>\n",
       "      <td>1274</td>\n",
       "      <td>0.155732</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>12</td>\n",
       "      <td>230</td>\n",
       "      <td>1251</td>\n",
       "      <td>0.155300</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "brand_nm month_flag  Esteeme  Shoote  r_Esteeme\n",
       "0                01      306    1713   0.151560\n",
       "1                02      218    1103   0.165026\n",
       "2                03      202    1158   0.148529\n",
       "3                04      184     987   0.157131\n",
       "4                05      207    1228   0.144251\n",
       "5                06      133     912   0.127273\n",
       "6                07      122     688   0.150617\n",
       "7                08      113     704   0.138311\n",
       "8                09      207    1120   0.155991\n",
       "9                10      170    1100   0.133858\n",
       "10               11      235    1274   0.155732\n",
       "11               12      230    1251   0.155300"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dfcustMons6 = dfcustMons2.merge(saless05s1, how='left', on='cust_id')\n",
    "dfcustMons6s1 = pd.crosstab(dfcustMons6.month_flag, dfcustMons6.brand_nm).reset_index()\n",
    "dfcustMons6s1['r_Esteeme'] = dfcustMons6s1['Esteeme'] / (dfcustMons6s1['Esteeme'] + dfcustMons6s1['Shoote'])\n",
    "dfcustMons6s1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "b7d8d768",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.bar(dfcustMons6s1.month_flag, dfcustMons6s1.r_Esteeme)\n",
    "plt.ylabel('Esteeme 구매고객비율')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5f23867c",
   "metadata": {},
   "source": [
    "- 2월은 구매고객 중 Esteeme 주구매고객의 비율이 높고\n",
    "- 6월은 연중 가장 낮음\n",
    "\n",
    "### 만일 시작시점이 연도의 중간이라면? 7월부터 나오면 이상하니 연도가 붙어서 설명이 될 필요!!! \n",
    "- 연월(YYYYMM) 이상태로 컬럼을 만든 후 (정렬도 그걸로) --> 보여주는 것은 월만 표시해서 단순화 Tip!!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "e2b0fbb8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "81ecd17c",
   "metadata": {},
   "source": [
    "### [예제2] 이용채널에 따라서 고객들에 어떤 특성 차이가 있는가?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "18d8e8ad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ONL                 12310\n",
       "Multi bupyong       11441\n",
       "Shoote gasan        10425\n",
       "Shoote city          5603\n",
       "Esteeme joongang     2157\n",
       "Name: store, dtype: int64"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 점포 중 하나로 온라인 존재\n",
    "\n",
    "sales['store'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "cf9e5047",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "고객수 15565\n"
     ]
    },
    {
     "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>cust_id</th>\n",
       "      <th>is_ONL</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B100048542</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>B100011002</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>NaN</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>B100062979</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>B100081226</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41909</th>\n",
       "      <td>B100024703</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41912</th>\n",
       "      <td>B100097247</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41921</th>\n",
       "      <td>B100022944</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41924</th>\n",
       "      <td>B100065345</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41928</th>\n",
       "      <td>B100063572</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>7666 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          cust_id  is_ONL\n",
       "0      B100048542       1\n",
       "6      B100011002       1\n",
       "7             NaN       1\n",
       "25     B100062979       1\n",
       "33     B100081226       1\n",
       "...           ...     ...\n",
       "41909  B100024703       1\n",
       "41912  B100097247       1\n",
       "41921  B100022944       1\n",
       "41924  B100065345       1\n",
       "41928  B100063572       1\n",
       "\n",
       "[7666 rows x 2 columns]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 고객리스트 생성\n",
    "df_custs = sales[['cust_id']].drop_duplicates()\n",
    "# 고객번호가 없는 식별되지 않은 고객은 제외\n",
    "df_custs = df_custs[~df_custs.cust_id.isna()]\n",
    "print('고객수', len(df_custs))\n",
    "\n",
    "# 고객별 온라인 채널 이용여부 집계\n",
    "df_onl_custs = sales[sales.store=='ONL'][['cust_id']].drop_duplicates()\n",
    "df_onl_custs['is_ONL'] = 1\n",
    "df_onl_custs\n",
    "# print('온라인 이용고객수', len(df_onl_custs))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "9a90bd39",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "오프라인 이용고객수 11553 11553\n",
      "온오프라인 모두 이용고객수 3652\n"
     ]
    },
    {
     "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>cust_id</th>\n",
       "      <th>is_ONL</th>\n",
       "      <th>is_STR</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B100048542</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B100026268</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B100009871</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B100051628</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>B100075455</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15560</th>\n",
       "      <td>B100024703</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15561</th>\n",
       "      <td>B100097247</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15562</th>\n",
       "      <td>B100022944</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15563</th>\n",
       "      <td>B100064126</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15564</th>\n",
       "      <td>B100013999</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15565 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          cust_id  is_ONL  is_STR\n",
       "0      B100048542     1.0     1.0\n",
       "1      B100026268     0.0     1.0\n",
       "2      B100009871     0.0     1.0\n",
       "3      B100051628     0.0     1.0\n",
       "4      B100075455     0.0     1.0\n",
       "...           ...     ...     ...\n",
       "15560  B100024703     1.0     0.0\n",
       "15561  B100097247     1.0     0.0\n",
       "15562  B100022944     1.0     0.0\n",
       "15563  B100064126     0.0     1.0\n",
       "15564  B100013999     0.0     1.0\n",
       "\n",
       "[15565 rows x 3 columns]"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\n",
    "# 고객별 오프라인 채널 이용여부 집계\n",
    "df_offl_custs = sales[~(sales.store=='ONL')][['cust_id']].drop_duplicates()\n",
    "# ~ 물결 표시는 조건 성립 안한 것을 의미함. NOT 의 의미\n",
    "df_offl_custs['is_STR'] = 1\n",
    "print('오프라인 이용고객수', len(df_offl_custs), df_offl_custs.is_STR.sum())  # len으로 숫자 셀수도, 1 넣은 것을 합계로 셀수도\n",
    "\n",
    "\n",
    "# 고객리스트에 온라인, 오프라인 채널 이용여부 컬럼 결합\n",
    "\n",
    "df_custChnnl = df_custs.merge(df_onl_custs, how='left', on='cust_id')\n",
    "df_custChnnl = df_custChnnl.merge(df_offl_custs, how='left', on='cust_id')\n",
    "df_custChnnl.fillna(0, inplace=True)\n",
    "\n",
    "print('온오프라인 모두 이용고객수', len(df_custChnnl[(df_custChnnl.is_ONL==1) & (df_custChnnl.is_STR==1)]))\n",
    "df_custChnnl"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "45648782",
   "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>cust_id</th>\n",
       "      <th>is_ONL</th>\n",
       "      <th>is_STR</th>\n",
       "      <th>chnnl_type</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>8267</th>\n",
       "      <td>B100028464</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STR only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13315</th>\n",
       "      <td>B100032945</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STR only</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8702</th>\n",
       "      <td>B100010843</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>BTH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13379</th>\n",
       "      <td>B100050492</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>BTH</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10993</th>\n",
       "      <td>B100012498</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STR only</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          cust_id  is_ONL  is_STR chnnl_type\n",
       "8267   B100028464     0.0     1.0   STR only\n",
       "13315  B100032945     0.0     1.0   STR only\n",
       "8702   B100010843     1.0     1.0        BTH\n",
       "13379  B100050492     1.0     1.0        BTH\n",
       "10993  B100012498     0.0     1.0   STR only"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 채널 이용 유형을 Both, Store only, Online only 세가지 유형으로 구분\n",
    "\n",
    "df_custChnnl['chnnl_type'] = np.where((df_custChnnl.is_ONL==1) & (df_custChnnl.is_STR==1), 'BTH','_')\n",
    "df_custChnnl['chnnl_type'] = np.where((df_custChnnl.is_ONL==0) & (df_custChnnl.is_STR==1), 'STR only',df_custChnnl['chnnl_type'])\n",
    "df_custChnnl['chnnl_type'] = np.where((df_custChnnl.is_ONL==1) & (df_custChnnl.is_STR==0), 'ONL only',df_custChnnl['chnnl_type'])\n",
    "\n",
    "df_custChnnl.sample(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "3cc20c50",
   "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>chnnl_type</th>\n",
       "      <th>cust_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTH</td>\n",
       "      <td>3652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ONL only</td>\n",
       "      <td>4013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>STR only</td>\n",
       "      <td>7900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  chnnl_type  cust_id\n",
       "0        BTH     3652\n",
       "1   ONL only     4013\n",
       "2   STR only     7900"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 이용채널 유형별 해당고객수 집계\n",
    "\n",
    "df_custChnnls0 = df_custChnnl[['cust_id','chnnl_type']].groupby('chnnl_type').count().reset_index()\n",
    "df_custChnnls0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "0f9a55bc",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\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>cust_id</th>\n",
       "      <th>is_ONL</th>\n",
       "      <th>is_STR</th>\n",
       "      <th>chnnl_type</th>\n",
       "      <th>age</th>\n",
       "      <th>sex</th>\n",
       "      <th>area</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>B100048542</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>BTH</td>\n",
       "      <td>32</td>\n",
       "      <td>M</td>\n",
       "      <td>inchon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B100026268</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STR only</td>\n",
       "      <td>29</td>\n",
       "      <td>F</td>\n",
       "      <td>gyunggi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>B100009871</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STR only</td>\n",
       "      <td>51</td>\n",
       "      <td>M</td>\n",
       "      <td>seoul</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>B100051628</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STR only</td>\n",
       "      <td>35</td>\n",
       "      <td>F</td>\n",
       "      <td>inchon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>B100075455</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STR only</td>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>gyunggi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15560</th>\n",
       "      <td>B100024703</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>ONL only</td>\n",
       "      <td>31</td>\n",
       "      <td>M</td>\n",
       "      <td>seoul</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15561</th>\n",
       "      <td>B100097247</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>ONL only</td>\n",
       "      <td>51</td>\n",
       "      <td>M</td>\n",
       "      <td>inchon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15562</th>\n",
       "      <td>B100022944</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>ONL only</td>\n",
       "      <td>32</td>\n",
       "      <td>M</td>\n",
       "      <td>gangwon</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15563</th>\n",
       "      <td>B100064126</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STR only</td>\n",
       "      <td>32</td>\n",
       "      <td>M</td>\n",
       "      <td>gyunggi</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15564</th>\n",
       "      <td>B100013999</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>STR only</td>\n",
       "      <td>26</td>\n",
       "      <td>M</td>\n",
       "      <td>seoul</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>15565 rows × 7 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          cust_id  is_ONL  is_STR chnnl_type  age sex     area\n",
       "0      B100048542     1.0     1.0        BTH   32   M   inchon\n",
       "1      B100026268     0.0     1.0   STR only   29   F  gyunggi\n",
       "2      B100009871     0.0     1.0   STR only   51   M    seoul\n",
       "3      B100051628     0.0     1.0   STR only   35   F   inchon\n",
       "4      B100075455     0.0     1.0   STR only   31   M  gyunggi\n",
       "...           ...     ...     ...        ...  ...  ..      ...\n",
       "15560  B100024703     1.0     0.0   ONL only   31   M    seoul\n",
       "15561  B100097247     1.0     0.0   ONL only   51   M   inchon\n",
       "15562  B100022944     1.0     0.0   ONL only   32   M  gangwon\n",
       "15563  B100064126     0.0     1.0   STR only   32   M  gyunggi\n",
       "15564  B100013999     0.0     1.0   STR only   26   M    seoul\n",
       "\n",
       "[15565 rows x 7 columns]"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 연령, 성별, 지역 특성 결합\n",
    "\n",
    "df_custChnnl1 = df_custChnnl.merge(custmast[['cust_id','age', 'sex', 'area']], how='left', on='cust_id')\n",
    "df_custChnnl1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "177d85ed",
   "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>chnnl_type</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTH</td>\n",
       "      <td>35.600767</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ONL only</td>\n",
       "      <td>36.692001</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>STR only</td>\n",
       "      <td>34.716835</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  chnnl_type        age\n",
       "0        BTH  35.600767\n",
       "1   ONL only  36.692001\n",
       "2   STR only  34.716835"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 이용채널 유형별 평균연령 집계\n",
    "\n",
    "df_custChnnl1s1 = df_custChnnl1[['chnnl_type','age']].groupby('chnnl_type').mean().reset_index()\n",
    "df_custChnnl1s1"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "1d33fbd0",
   "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>chnnl_type</th>\n",
       "      <th>is_female</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTH</td>\n",
       "      <td>0.873768</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ONL only</td>\n",
       "      <td>0.645402</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>STR only</td>\n",
       "      <td>0.600127</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  chnnl_type  is_female\n",
       "0        BTH   0.873768\n",
       "1   ONL only   0.645402\n",
       "2   STR only   0.600127"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 이용채널 유형별 여성비율 집계\n",
    "\n",
    "df_custChnnl1['is_female'] = np.where(df_custChnnl1.sex=='F',1,0)\n",
    "df_custChnnl1s2 = df_custChnnl1[['chnnl_type','is_female']].groupby('chnnl_type').mean().reset_index()\n",
    "df_custChnnl1s2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "24077829",
   "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>chnnl_type</th>\n",
       "      <th>age</th>\n",
       "      <th>is_female</th>\n",
       "      <th>cust_id</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>BTH</td>\n",
       "      <td>35.600767</td>\n",
       "      <td>0.873768</td>\n",
       "      <td>3652</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ONL only</td>\n",
       "      <td>36.692001</td>\n",
       "      <td>0.645402</td>\n",
       "      <td>4013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>STR only</td>\n",
       "      <td>34.716835</td>\n",
       "      <td>0.600127</td>\n",
       "      <td>7900</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  chnnl_type        age  is_female  cust_id\n",
       "0        BTH  35.600767   0.873768     3652\n",
       "1   ONL only  36.692001   0.645402     4013\n",
       "2   STR only  34.716835   0.600127     7900"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 각각 집계한 연령, 성비, 고객수 결합해 하나의 테이블 생성 \n",
    "# 요약된 프로파일(profile) 테이블 생성\n",
    "\n",
    "df_custChnnl1s3 = df_custChnnl1s1.merge(df_custChnnl1s2, how='left', on='chnnl_type')\n",
    "df_custChnnl1s3 = df_custChnnl1s3.merge(df_custChnnls0, how='left', on='chnnl_type')\n",
    "\n",
    "display(df_custChnnl1s3)\n",
    "\n",
    "\n",
    "# 숙제 1. 동그라미 핑크색으로 2. 동그라미 두배크기로 3. 영어 텍스트를 한글로\n",
    "\n",
    "colors1 = np.where(df_custChnnl1s3.age==df_custChnnl1s3.age.max(), 'salmon', 'dodgerblue')\n",
    "# 미리 색상리스트를 어떤 조건에 맞춰서 지정하도록 \n",
    "# 조건은 나이의 최대값이면 핑크로\n",
    "\n",
    "# 프로파일 테이블의 시각화 - 산점도 scatter plot\n",
    "plt.scatter(df_custChnnl1s3.age, df_custChnnl1s3.is_female,\n",
    "            # 원의 크키를 통해 세번째 프로파일 항목을 표시\n",
    "           s=df_custChnnl1s3.cust_id/df_custChnnl1s3.cust_id.max()*1200*2,  # s 가 동그라미 크기 이걸 두배로 지정하면 (2번숙제)\n",
    "           alpha=0.5,\n",
    "           color=colors1)  #salmon pink로 색상 변경 (1번 숙제)\n",
    "plt.xlabel('평균연령')\n",
    "plt.ylabel('여성비율')\n",
    "plt.xlim(30,40)\n",
    "plt.ylim(0,1)\n",
    "\n",
    "# 동그라미에 텍스트 덧씌워 주는 부분\n",
    "# 한글로 바꾸기 (숙제 3번)\n",
    "chnnl_typeK = ['온오프\\n모두', '온라인만', '오프라인만'] # 텍스트가 길면 중간에 줄바꿈 넣을 수도 있음\n",
    "\n",
    "for i in df_custChnnl1s3.index:\n",
    "    plt.text(df_custChnnl1s3.age[i], df_custChnnl1s3.is_female[i], \n",
    "             chnnl_typeK[i],\n",
    "            ha='center')\n",
    "plt.title('이용채널유형별 고객구성')    \n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "94133e47",
   "metadata": {},
   "source": [
    "- [discussion] 나이가 많은 여성쪽에서 온라인 이용이 많은 이유는?\n",
    "\n",
    "- [미니 연습문제]  1. 동그라미 핑크색으로 2. 동그라미 두배크기로 3. 영어 텍스트를 한글로"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5185566d",
   "metadata": {},
   "source": [
    "#### [추가연습문제] \n",
    "- 2019년과 2020년 이용채널유형별 고객구성을 각각 산출하여 비교하는 테이블을 생성하고 시각화하라"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "51a374f8",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "54af70d2",
   "metadata": {},
   "source": [
    "## 실전적인 판매데이터 고급분석: 상품분석(plus 외부데이터 결합분석)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "dedf73de",
   "metadata": {},
   "source": [
    "### [예제 1] 상품 판매가격과 판매량간 관계분석"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "e3322d80",
   "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>item_id</th>\n",
       "      <th>unit_prc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SH1003405</td>\n",
       "      <td>80000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SH1003602</td>\n",
       "      <td>60000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SH1003306</td>\n",
       "      <td>70000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SH1008104</td>\n",
       "      <td>60000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ES2002609</td>\n",
       "      <td>100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40439</th>\n",
       "      <td>SH1006102</td>\n",
       "      <td>75000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40447</th>\n",
       "      <td>SH1004001</td>\n",
       "      <td>108000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40463</th>\n",
       "      <td>SH1004801</td>\n",
       "      <td>187000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40478</th>\n",
       "      <td>ES2000803</td>\n",
       "      <td>75000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40493</th>\n",
       "      <td>SH1000806</td>\n",
       "      <td>75000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1933 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "         item_id  unit_prc\n",
       "0      SH1003405     80000\n",
       "1      SH1003602     60000\n",
       "2      SH1003306     70000\n",
       "3      SH1008104     60000\n",
       "4      ES2002609    100000\n",
       "...          ...       ...\n",
       "40439  SH1006102     75000\n",
       "40447  SH1004001    108000\n",
       "40463  SH1004801    187000\n",
       "40478  ES2000803     75000\n",
       "40493  SH1000806     75000\n",
       "\n",
       "[1933 rows x 2 columns]"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sales[['item_id','unit_prc']].drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "333dba95",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "958"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 상품코드별 가격이 복수인 경우, 즉 가격이 변동한 경우가 있는가?\n",
    "\n",
    "len(sales.item_id.unique()) \n",
    "\n",
    "# 상품코드수 보다 상품별가격별 건수가 많다면 가격이 변동한적이 있다는 것"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "04f5329f",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<Axes: >"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 상품별 판매된 가격의 종류 수는?\n",
    "\n",
    "sales[['item_id','unit_prc']].drop_duplicates().groupby('item_id').count().reset_index().unit_prc.hist()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "c3334e8b",
   "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>item_id</th>\n",
       "      <th>unit_prc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>ES2000701</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>379</th>\n",
       "      <td>SH1000806</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>437</th>\n",
       "      <td>SH1001607</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>507</th>\n",
       "      <td>SH1002702</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>584</th>\n",
       "      <td>SH1003804</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>585</th>\n",
       "      <td>SH1003805</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>596</th>\n",
       "      <td>SH1004001</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>641</th>\n",
       "      <td>SH1004504</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>710</th>\n",
       "      <td>SH1005504</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>723</th>\n",
       "      <td>SH1005705</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>751</th>\n",
       "      <td>SH1006105</td>\n",
       "      <td>5</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       item_id  unit_prc\n",
       "15   ES2000701         5\n",
       "379  SH1000806         5\n",
       "437  SH1001607         5\n",
       "507  SH1002702         5\n",
       "584  SH1003804         5\n",
       "585  SH1003805         5\n",
       "596  SH1004001         5\n",
       "641  SH1004504         5\n",
       "710  SH1005504         5\n",
       "723  SH1005705         5\n",
       "751  SH1006105         5"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>item_id</th>\n",
       "      <th>unit_prc</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>40294</th>\n",
       "      <td>SH1004504</td>\n",
       "      <td>108000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8310</th>\n",
       "      <td>SH1004504</td>\n",
       "      <td>116000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16033</th>\n",
       "      <td>SH1004504</td>\n",
       "      <td>123000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3311</th>\n",
       "      <td>SH1004504</td>\n",
       "      <td>135000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>SH1004504</td>\n",
       "      <td>145000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40427</th>\n",
       "      <td>SH1005504</td>\n",
       "      <td>82000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32822</th>\n",
       "      <td>SH1005504</td>\n",
       "      <td>88000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16123</th>\n",
       "      <td>SH1005504</td>\n",
       "      <td>93000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3314</th>\n",
       "      <td>SH1005504</td>\n",
       "      <td>100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>135</th>\n",
       "      <td>SH1005504</td>\n",
       "      <td>110000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40135</th>\n",
       "      <td>SH1005705</td>\n",
       "      <td>75000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32648</th>\n",
       "      <td>SH1005705</td>\n",
       "      <td>80000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15960</th>\n",
       "      <td>SH1005705</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3024</th>\n",
       "      <td>SH1005705</td>\n",
       "      <td>90000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>736</th>\n",
       "      <td>SH1005705</td>\n",
       "      <td>100000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26011</th>\n",
       "      <td>SH1006105</td>\n",
       "      <td>75000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8069</th>\n",
       "      <td>SH1006105</td>\n",
       "      <td>80000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16036</th>\n",
       "      <td>SH1006105</td>\n",
       "      <td>85000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3094</th>\n",
       "      <td>SH1006105</td>\n",
       "      <td>90000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>45</th>\n",
       "      <td>SH1006105</td>\n",
       "      <td>100000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         item_id  unit_prc\n",
       "40294  SH1004504    108000\n",
       "8310   SH1004504    116000\n",
       "16033  SH1004504    123000\n",
       "3311   SH1004504    135000\n",
       "73     SH1004504    145000\n",
       "40427  SH1005504     82000\n",
       "32822  SH1005504     88000\n",
       "16123  SH1005504     93000\n",
       "3314   SH1005504    100000\n",
       "135    SH1005504    110000\n",
       "40135  SH1005705     75000\n",
       "32648  SH1005705     80000\n",
       "15960  SH1005705     85000\n",
       "3024   SH1005705     90000\n",
       "736    SH1005705    100000\n",
       "26011  SH1006105     75000\n",
       "8069   SH1006105     80000\n",
       "16036  SH1006105     85000\n",
       "3094   SH1006105     90000\n",
       "45     SH1006105    100000"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 판매된 가격이 5개인 상품은? 각 상품의 판매된 가격 내역은?\n",
    "\n",
    "dfprdprc1 = sales[['item_id','unit_prc']].drop_duplicates().groupby('item_id').count().reset_index()\n",
    "display(dfprdprc1[dfprdprc1.unit_prc==5])\n",
    "\n",
    "sales[sales.item_id.isin(dfprdprc1[dfprdprc1.unit_prc==5].item_id)][['item_id','unit_prc']].drop_duplicates().sort_values(['item_id','unit_prc']).tail(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "733bd417",
   "metadata": {},
   "outputs": [
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 가격이 변동된 특정 상품들의 가격 변동 추이 확인\n",
    "\n",
    "# 루프를 사용해 한 번에 여러 챠트 생성\n",
    "\n",
    "for x in ['SH1005504', 'SH1004504']:\n",
    "    colors1 = np.where(sales[sales.item_id==x].unit_prc<sales[sales.item_id==x].unit_prc.max(), \n",
    "                       'orange','steelblue')\n",
    "    plt.figure(figsize=(12,3))\n",
    "    plt.bar(sales[sales.item_id==x].datea,\n",
    "            sales[sales.item_id==x].unit_prc, \n",
    "            color=colors1)\n",
    "    plt.xticks(rotation=90)\n",
    "    plt.title(x)\n",
    "    plt.ylabel('판매가격')\n",
    "    plt.show()\n",
    "\n",
    "# 4번의 행사에서 각각 가격을 일시 인하했던 것"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "a2993161",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 상품별로 판매된 가격 중 가장 높은 가격(실질적인 정상가)의 분포는?\n",
    "\n",
    "series =sales[['item_id','unit_prc']].groupby('item_id').max().reset_index().unit_prc\n",
    "series.hist()\n",
    "series.hist(bins=100)\n",
    "plt.axvline(series.median(), color='red')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "eaedf245",
   "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>item_id</th>\n",
       "      <th>unit_prc</th>\n",
       "      <th>qty</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ES2000501</td>\n",
       "      <td>131000</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ES2000501</td>\n",
       "      <td>155000</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ES2000502</td>\n",
       "      <td>131000</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ES2000502</td>\n",
       "      <td>145000</td>\n",
       "      <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ES2000502</td>\n",
       "      <td>155000</td>\n",
       "      <td>127</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1928</th>\n",
       "      <td>SH1009002</td>\n",
       "      <td>60000</td>\n",
       "      <td>145</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1929</th>\n",
       "      <td>SH1009003</td>\n",
       "      <td>60000</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930</th>\n",
       "      <td>SH1009004</td>\n",
       "      <td>60000</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1931</th>\n",
       "      <td>SH1009005</td>\n",
       "      <td>60000</td>\n",
       "      <td>189</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1932</th>\n",
       "      <td>SH1009006</td>\n",
       "      <td>60000</td>\n",
       "      <td>161</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1933 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        item_id  unit_prc  qty\n",
       "0     ES2000501    131000    2\n",
       "1     ES2000501    155000   96\n",
       "2     ES2000502    131000    1\n",
       "3     ES2000502    145000    4\n",
       "4     ES2000502    155000  127\n",
       "...         ...       ...  ...\n",
       "1928  SH1009002     60000  145\n",
       "1929  SH1009003     60000  103\n",
       "1930  SH1009004     60000  161\n",
       "1931  SH1009005     60000  189\n",
       "1932  SH1009006     60000  161\n",
       "\n",
       "[1933 rows x 3 columns]"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 가격과 판매량 간의 관계는?\n",
    "\n",
    "sales[['item_id','unit_prc', 'qty']].groupby(['item_id','unit_prc']).sum().reset_index()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 97,
   "id": "c7b24aef",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "dftmp = sales[['item_id','unit_prc', 'qty']].groupby(['item_id','unit_prc']).sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(8,6))\n",
    "plt.scatter(rjitt(dftmp.unit_prc), rjitt(dftmp.qty), alpha=0.1)\n",
    "# 다항 추세선 추가\n",
    "varx = dftmp.unit_prc\n",
    "vary = dftmp.qty\n",
    "plt.plot(np.unique(varx), np.poly1d(np.polyfit(varx, vary, 3))(np.unique(varx)), \n",
    "          color='red', linewidth=10, alpha=0.5)\n",
    "\n",
    "plt.plot(np.unique(varx), np.poly1d(np.polyfit(varx, vary, 1))(np.unique(varx)), \n",
    "         color='k', linewidth=3, alpha=0.7)\n",
    "plt.xlabel('판매가')\n",
    "plt.ylabel('총판매수량')\n",
    "plt.title('상품별 판매가와 수량간 관계')\n",
    "plt.axvline(varx.median(), linestyle=':', color='orange')\n",
    "plt.axhline(vary.median(), linestyle=':', color='orange')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "75fd62ac",
   "metadata": {},
   "source": [
    "- 판매량이 많은 상품은 소수\n",
    "- 전체적으로는 판매가가 높을수록 판매량이 적은 것으로 보이지만 **(black line)**\n",
    "- 판매가가 12만원 이상이 상품들에서는 가격이 높을수록 판매량이 많은 패턴 **(red line)** "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8c0f5b96",
   "metadata": {},
   "source": [
    "#### 개별상품의 가격할인과 판매량 변화 관점의 분석"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 98,
   "id": "b4eac23e",
   "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>item_id</th>\n",
       "      <th>unit_prc</th>\n",
       "      <th>qty</th>\n",
       "      <th>datea</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ES2000501</td>\n",
       "      <td>131000</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ES2000501</td>\n",
       "      <td>155000</td>\n",
       "      <td>96</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ES2000502</td>\n",
       "      <td>131000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ES2000502</td>\n",
       "      <td>145000</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ES2000502</td>\n",
       "      <td>155000</td>\n",
       "      <td>127</td>\n",
       "      <td>96</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1928</th>\n",
       "      <td>SH1009002</td>\n",
       "      <td>60000</td>\n",
       "      <td>145</td>\n",
       "      <td>103</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1929</th>\n",
       "      <td>SH1009003</td>\n",
       "      <td>60000</td>\n",
       "      <td>103</td>\n",
       "      <td>75</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930</th>\n",
       "      <td>SH1009004</td>\n",
       "      <td>60000</td>\n",
       "      <td>161</td>\n",
       "      <td>107</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1931</th>\n",
       "      <td>SH1009005</td>\n",
       "      <td>60000</td>\n",
       "      <td>189</td>\n",
       "      <td>133</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1932</th>\n",
       "      <td>SH1009006</td>\n",
       "      <td>60000</td>\n",
       "      <td>161</td>\n",
       "      <td>105</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1933 rows × 4 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        item_id  unit_prc  qty  datea\n",
       "0     ES2000501    131000    2      2\n",
       "1     ES2000501    155000   96     65\n",
       "2     ES2000502    131000    1      1\n",
       "3     ES2000502    145000    4      3\n",
       "4     ES2000502    155000  127     96\n",
       "...         ...       ...  ...    ...\n",
       "1928  SH1009002     60000  145    103\n",
       "1929  SH1009003     60000  103     75\n",
       "1930  SH1009004     60000  161    107\n",
       "1931  SH1009005     60000  189    133\n",
       "1932  SH1009006     60000  161    105\n",
       "\n",
       "[1933 rows x 4 columns]"
      ]
     },
     "execution_count": 98,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 상품별 가격별 판매수량 합계와 판매일수 집계\n",
    "\n",
    "# 상품별 가격별 판매수량 합계 집계\n",
    "dftmppp1 = sales[['item_id','unit_prc', 'qty']].groupby(['item_id','unit_prc']).sum().reset_index()\n",
    "\n",
    "# 상품별 가격별 판매일수 집계\n",
    "dftmppp2 = sales[['item_id','unit_prc', 'datea']].drop_duplicates().groupby(['item_id','unit_prc']).count().reset_index()\n",
    "\n",
    "# 테이블 결합\n",
    "dftmppp3 = dftmppp1.merge(dftmppp2, how='left', on=['item_id', 'unit_prc'])\n",
    "dftmppp3"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 100,
   "id": "283fe7ba",
   "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>item_id</th>\n",
       "      <th>unit_prc</th>\n",
       "      <th>qty</th>\n",
       "      <th>datea</th>\n",
       "      <th>max_prc</th>\n",
       "      <th>dc_rate</th>\n",
       "      <th>daily_qty</th>\n",
       "      <th>mean_daily_qty</th>\n",
       "      <th>lift_sale_qty</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>ES2000501</td>\n",
       "      <td>131000</td>\n",
       "      <td>2</td>\n",
       "      <td>2</td>\n",
       "      <td>155000</td>\n",
       "      <td>0.154839</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.238462</td>\n",
       "      <td>0.807453</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>ES2000501</td>\n",
       "      <td>155000</td>\n",
       "      <td>96</td>\n",
       "      <td>65</td>\n",
       "      <td>155000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.476923</td>\n",
       "      <td>1.238462</td>\n",
       "      <td>1.192547</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ES2000502</td>\n",
       "      <td>131000</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>155000</td>\n",
       "      <td>0.154839</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.218750</td>\n",
       "      <td>0.820513</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ES2000502</td>\n",
       "      <td>145000</td>\n",
       "      <td>4</td>\n",
       "      <td>3</td>\n",
       "      <td>155000</td>\n",
       "      <td>0.064516</td>\n",
       "      <td>1.333333</td>\n",
       "      <td>1.218750</td>\n",
       "      <td>1.094017</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ES2000502</td>\n",
       "      <td>155000</td>\n",
       "      <td>127</td>\n",
       "      <td>96</td>\n",
       "      <td>155000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.322917</td>\n",
       "      <td>1.218750</td>\n",
       "      <td>1.085470</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1928</th>\n",
       "      <td>SH1009002</td>\n",
       "      <td>60000</td>\n",
       "      <td>145</td>\n",
       "      <td>103</td>\n",
       "      <td>60000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.407767</td>\n",
       "      <td>1.407767</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1929</th>\n",
       "      <td>SH1009003</td>\n",
       "      <td>60000</td>\n",
       "      <td>103</td>\n",
       "      <td>75</td>\n",
       "      <td>60000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.373333</td>\n",
       "      <td>1.373333</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1930</th>\n",
       "      <td>SH1009004</td>\n",
       "      <td>60000</td>\n",
       "      <td>161</td>\n",
       "      <td>107</td>\n",
       "      <td>60000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.504673</td>\n",
       "      <td>1.504673</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1931</th>\n",
       "      <td>SH1009005</td>\n",
       "      <td>60000</td>\n",
       "      <td>189</td>\n",
       "      <td>133</td>\n",
       "      <td>60000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.421053</td>\n",
       "      <td>1.421053</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1932</th>\n",
       "      <td>SH1009006</td>\n",
       "      <td>60000</td>\n",
       "      <td>161</td>\n",
       "      <td>105</td>\n",
       "      <td>60000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>1.533333</td>\n",
       "      <td>1.533333</td>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1933 rows × 9 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        item_id  unit_prc  qty  datea  max_prc   dc_rate  daily_qty  \\\n",
       "0     ES2000501    131000    2      2   155000  0.154839   1.000000   \n",
       "1     ES2000501    155000   96     65   155000  0.000000   1.476923   \n",
       "2     ES2000502    131000    1      1   155000  0.154839   1.000000   \n",
       "3     ES2000502    145000    4      3   155000  0.064516   1.333333   \n",
       "4     ES2000502    155000  127     96   155000  0.000000   1.322917   \n",
       "...         ...       ...  ...    ...      ...       ...        ...   \n",
       "1928  SH1009002     60000  145    103    60000  0.000000   1.407767   \n",
       "1929  SH1009003     60000  103     75    60000  0.000000   1.373333   \n",
       "1930  SH1009004     60000  161    107    60000  0.000000   1.504673   \n",
       "1931  SH1009005     60000  189    133    60000  0.000000   1.421053   \n",
       "1932  SH1009006     60000  161    105    60000  0.000000   1.533333   \n",
       "\n",
       "      mean_daily_qty  lift_sale_qty  \n",
       "0           1.238462       0.807453  \n",
       "1           1.238462       1.192547  \n",
       "2           1.218750       0.820513  \n",
       "3           1.218750       1.094017  \n",
       "4           1.218750       1.085470  \n",
       "...              ...            ...  \n",
       "1928        1.407767       1.000000  \n",
       "1929        1.373333       1.000000  \n",
       "1930        1.504673       1.000000  \n",
       "1931        1.421053       1.000000  \n",
       "1932        1.533333       1.000000  \n",
       "\n",
       "[1933 rows x 9 columns]"
      ]
     },
     "execution_count": 100,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 상품별 최고가 (=정상가) 집계\n",
    "dftmppp4 = dftmp[['item_id','unit_prc']].groupby('item_id').max().reset_index()\n",
    "dftmppp4.columns = ['item_id', 'max_prc']\n",
    "\n",
    "# 상품별 최고가 결합 후 \n",
    "dftmppp5 = dftmppp3.merge(dftmppp4, how='left', on='item_id')\n",
    "\n",
    "# 최고가에서 할인한 비율 계산\n",
    "dftmppp5['dc_rate'] = (dftmppp5.max_prc - dftmppp5.unit_prc) / dftmppp5.max_prc\n",
    "dftmppp5['daily_qty'] = dftmppp5.qty / dftmppp5.datea\n",
    "dftmppp5\n",
    "\n",
    "# 일판매량 최대값 계산\n",
    "dftmppp6 = dftmppp5[['item_id', 'daily_qty']].groupby('item_id').mean().reset_index()\n",
    "dftmppp6.columns = ['item_id', 'mean_daily_qty']\n",
    "dftmppp7 = dftmppp5.merge(dftmppp6, how='left', on='item_id')\n",
    "dftmppp7['lift_sale_qty'] = dftmppp7.daily_qty / dftmppp7.mean_daily_qty\n",
    "dftmppp7"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 101,
   "id": "3d13a7c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "-0.12723435330954333"
      ]
     },
     "execution_count": 101,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 전체 상품에서의 각 상품별 가격할인률과 판매량 증대(lift)간의 관계\n",
    "\n",
    "plt.scatter(rjitt(dftmppp7.dc_rate), rjitt(dftmppp7.lift_sale_qty),\n",
    "           alpha=0.1)\n",
    "varx = dftmppp7.dc_rate\n",
    "vary = dftmppp7.lift_sale_qty\n",
    "plt.plot(np.unique(varx), np.poly1d(np.polyfit(varx, vary, 1))(np.unique(varx)), \n",
    "         color='grey', linewidth=5, alpha=0.5)\n",
    "plt.xlabel('가격할인률')\n",
    "plt.ylabel('판매량 증대 Lift')\n",
    "plt.show()\n",
    "\n",
    "np.corrcoef(varx, vary)[0,1]"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "54c68290",
   "metadata": {},
   "source": [
    "- [의미 검토] 가격할인률이 크면 판매량은 평균적인 하루 판매량 보다 오히려 줄어든다?\n",
    "- 제철이 지나서 할인 행사를 하기 때문에 할인 행사하는 시기에서는 판매량이 늘어나지는 않는다?\n",
    "<br><br>\n",
    "- **각 상품별로 따로 검토해야만 의미있는 것은 아닌가?**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 102,
   "id": "91986d2c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "분석대상 상품 :  ['SH1003301' 'SH1003403']\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.960075868584705\n"
     ]
    },
    {
     "data": {
      "image/png": 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bz2BY6BAREUnwiaYKh/U1UPkp8EVhLRRyL9w1PdHVaaGpqQkajUZyG4e4uDikpqZCLpc7Lacukxl7jpZAY2hGmNIHK65JQXp0kNP2NxAWOkRERBJUNnfCV+6FuBB/mCwCFU0dLs1HCIHz58+jpKREUvxItnFo6jCivKED4Uof1LZ2w9DU6bJCZ/R05SIiInKhtKhAmIVAYVULOrrNyHDRBzdwsY3Dd999J7nICQ4ORk5Ozoj1qgpX+uIHccHoMJqRFB6A9KjAEdlvX3hGh4iISIJZGZFQyL1wvr4dsSo/zEx3TYNLe9s4JCYmIjk5eUQ7jsu9ZFiSm4Trs6KhClC49F4mFjpEREQSeMu9cG2G67p3WywWlJSUoKysTFK8j48PsrKyEBYW5uTM+qaQeyExPMAl+74UCx0iIiI319HRAY1Gg5aWFknxoaGhyM7O9pg2DsPBQoeIiMiNVVdXQ6/XS27jkJKSgoSEBI9eG8ceLHSIiIjckNlsRlFRESoqKiTFe3Ibh+FgoUNERORm7G3jEBkZiczMTI9t4zAc/BMhIiJyE0Np45CWlobY2FhequoHCx0iIiI3YDQaUVBQgJqaGknxI9HGwROw0CEiInKxpqYmaLVadHZ2SoqPjY1FWlqaU9s4eAoWOkRERC7S08ahtLQUQohB4+VyOTIzMxEVFTUC2XkGFjpEREQu0N3dDa1Wi4aGBknxQUFBUKvV8Pf3d3JmnoWFDhER0Qirr6+HVquV3MYhISEBKSkpI9rGwVOw0CEiIhoh9rZxUCgUyM7OdlkbB0/AQoeIiGgEdHR0QKvVorm5WVJ8aGgosrKy4Ovr6+TMPBsLHSIiIiezt41DcnIyEhMTuTaOA7DQISIicpKhtHHIzs6GSqVycmZjBwsdIiIiJ2hra4NGo0FbW5uk+IiICGRmZkKhUDg5s7GFhQ4REZEDCSFQUVGBoqIiyW0cUlNTERcXx0tVTsBCh4iIyEFMJhP0er3kNg4BAQFQq9UIDAx0cmZjFwsdIiIiB2huboZGo2EbBzfDQoeIiGgYhBAoKytDSUkJ2zi4IRY6REREQ8Q2Du6PhQ4REdEQ1NfXQ6fTobu7W1I82zi4BgsdIiIiO1gsFpSWluL8+fOS4hUKBbKyshAeHu7kzKgvLHSIiIgk6uzshEajkdzGISQkBNnZ2Wzj4EIsdIiIiCSoqamBXq+HyWSSFJ+SksI2Dm6AhQ4REdEAzGYziouLYTAYJMX7+vpCrVazjYObYKFDRETUD7ZxGP1Y6BAREV1GCIHKykoUFhayjcMox0KHiIjoEiaTCQUFBaiurpYUzzYO7o2FDhER0b/Y28YhJiYG6enpbOPgxljoEBHRmCeEQHl5Oc6ePSu5jUNGRgaio6NHIDsaDpcuzyiEwGuvvYbc3Nx+Y06ePInc3FwkJSVBrVbjo48+sm47e/Ys5s+fj8zMTCQkJOC+++5DR0fHSKROREQeoru7G99//z2Ki4slFTmBgYGYOnUqi5xRwmWFzocffohJkyZh69ataGxs7DOmpaUFc+bMwRNPPIFz587h5ZdfxqJFi1BZWQkAeOutt7BixQro9XpoNBoUFxdj69atIzgLIiIazRoaGnD8+HHU19dLio+Pj8eUKVMQEBDg5MzIUVxW6LS2tuLJJ5/Eq6++2m/Mvn37MG3aNMyePRsAcO2112LWrFl48803AQCPPPIIbrvtNgAXG6Xdf//9OHTokPOTJyKiUU0IgZKSEnz33XeSelUpFApMnDgRaWlp7FU1yrjsHp0FCxYAAI4cOdJvzNdff42rr77aZmz69Ok4depUn/E1NTUDLtDU1dWFrq4u6/dSl/AmIiLP0dnZCa1Wi6amJknxbOMwurl1WWowGHpdA42KikJdXV2v2Lq6Ojz11FNYsWJFv++3fft2qFQq61dCQoLDcyYiIvdVU1OD48ePSy5ykpOTMXnyZBY5o5hbFzpms7nXjWFms7nXYkynT5/GVVddhbvuugt33XVXv+/36KOPoqmpyfpVVlbmlLyJiMi9WCwWFBYWIj8/X1KvKl9fX1xxxRVITk7mAoCjnFs/Xh4WFoba2lqbsZqaGsTExFi/37NnDzZt2oTdu3fjzjvvHPD9fH19WZUTEY0x7e3tyM/Pl9zGITw8HFlZWWzj4CHc+ozO1KlT8dVXX9mMHT16FDNmzAAAHDhwANu2bcMXX3wxaJFDRERjS08bh+PHj0sqcmQyGdLS0vCDH/yARY4HcetCZ8mSJfj000+tT1IdPHgQOp0OCxcuBADs2LEDTz31FNLS0lyZJhERuRmTyQSdTgedTiepV5W/vz+mTJmC+Ph4XqryMG536SovLw/Hjh3DCy+8gPj4eLzxxhtYvXo16uvrkZaWhvfeew9KpRIAUFRUhN/85jd4+OGHbd7j2LFjiIyMdEX6RETkYi0tLdBoNJIXkI2OjkZ6ejq8vd3uI5EcQCakLAPpoZqbm6FSqdDU1ITg4GBXp0NERMMwlDYO6enpNvd90uhgz+c3y1ciIhr1jEYjdDpdn8uP9CUwMBBqtZorHI8BLHSIiGhUa2xshEajkbTCMQCMGzcOqampXOF4jGChQ0REo5IQAqWlpTh37pykeG9vb2RlZSEiIsLJmZE7YaFDRESjjr1tHFQqFbKzs+Hn5+fkzMjdsNAhIqJRpba2FjqdTtIKxwCQlJTEFY7HMBY6REQ0KlgsFhQXF+PChQuS4n18fKBWqxESEuLcxMitsdAhIiK3197eDo1Gg9bWVknxbONAPVjoEBGRW6usrERhYSHMZvOgsTKZDKmpqRg3bhwvVREAFjpEROSmzGYzCgoKUFVVJSne398farUaQUFBTs6MRhMWOkRE5HbsbeMQFRWFjIwMtnGgXvg3goiI3IYQAhcuXEBxcbGkNg5eXl7IyMhAdHQ0L1VRn1joEBGRW7C3jYNSqcSECRPYxoEGxEKHiIhcrrGxEVqtFl1dXZLi2caBpGKhQ0RELiOEwLlz51BaWiop3tvbG5mZmYiMjHRuYuQxWOgQEZFLdHV1QavVorGxUVI82zjQULDQISKiEVdXVwedTgej0Sgpnm0caKhY6BAR0YixWCw4e/YsysvLJcX7+PggOzsboaGhTs6MPBULHSIiGhH2tnEICwtDVlYWfHx8nJwZeTIWOkRE5HRVVVUoKCiQ3MZh/PjxiI+P56UqGjYWOkRE5DRmsxmFhYWorKyUFO/n5we1Wo3g4GAnZ0ZjBQsdIiJyitbWVmg0GrS3t0uKZxsHcgb+bSIiIocSQsBgMKC4uBgWi2XQeC8vL6SnpyMmJoaXqsjhWOgQEZHDGI1G6PV61NbWSopXKpVQq9VQKpVOzozGKhY6RETkEE1NTdBoNJLbOMTFxSE1NRVyudzJmdFYxkKHiIiGRQiB8+fPo6SkRFI82zjQSGKhQ0REQ2ZvG4fg4GCo1Wq2caARw0KHiIiGxN42DomJiUhOTmbHcRpRLHSIiMguFosFJSUlKCsrkxTv4+ODrKwshIWFOTkzot5Y6BARkWQdHR3QaDRoaWmRFB8aGors7Gy2cSCXYaFDRESSVFdXQ6/XS27jkJKSgoSEBK6NQy7FQoeIiAZkNptRVFSEiooKSfFs40DuhIUOERH1y942DpGRkcjMzGQbB3Ib/JtIRES9DKWNQ1paGmJjY3mpitwKCx0iIrJhNBpRUFCAmpoaSfFs40DujIUOERFZNTU1QavVorOzU1J8bGws0tLS2MaB3BYLHSIisrZxKC0thRBi0Hi5XI7MzExERUWNQHZEQ8dCh4hojOvu7oZWq0VDQ4Ok+KCgIKjVavj7+zs5M6LhY6FDRDSG1dfXQ6vVSm7jkJCQgJSUFLZxoFGDhQ4R0RhkbxsHhUKB7OxstnGgUYeFDhHRGNPR0QGtVovm5mZJ8WzjQKMZCx0iojHE3jYOycnJSExM5No4NGqx0CEiGgOG0sYhOzsbKpXKyZkRORcLHSIiD9fW1gaNRoO2tjZJ8ZGRkcjIyIBCoXByZkTOx0KHiMhDCSFQUVGBoqIitnGgMYuFDhGRBzKZTNDr9ZLbOAQEBECtViMwMNDJmRGNLBY6REQeprm5GRqNhm0ciMBCh4jIYwghUFZWhpKSErZxIPoXFjpERB6AbRyI+sZCh4holKuvr4dOp0N3d7ekeLZxoLGEhQ4R0ShlsVhQWlqK8+fPS4pXKBTIyspCeHi4kzMjch92l/Nff/11rzGz2Yxjx445JCEiIhpcZ2cnTp06JbnICQkJQU5ODoscGnPsLnSWLFnSa0wul+Puu+92SEJERDSwmpoaHD9+XHKvqpSUFEyePBm+vr5OzozI/Ui+dPXiiy+io6MDjY2NeOaZZ2y2FRcX87FEIiInM5vNKC4uhsFgkBTv6+sLtVrNNg40pkkudFpbW1FQUACj0QitVmuzLTQ0FO+8846jcyMion+xt41DREQEMjMz2caBxjyZkLLYwiWuu+46HD582Fn5jKjm5maoVCo0NTUhODjY1ekQEfUihEBlZSUKCwslt3FITU1FXFwc2ziQx7Ln81vSPTozZ860/v8111wzvOwuIYTAa6+9htzc3H5jTp48idzcXCQlJUGtVuOjjz6y2b5z506kpaVh3LhxmDdvHmprax2WHxGRK5lMJmi1Wuj1eklFTkBAAKZMmYJx48axyCH6F0mFjsFgQGlpKQDg9ddfd8iOP/zwQ0yaNAlbt25FY2NjnzEtLS2YM2cOnnjiCZw7dw4vv/wyFi1ahMrKSgDAW2+9hddeew3ffPMNzp8/j9jYWKxcudIh+RERuVJzczOOHz+O6upqSfExMTGYOnUqe1URXUbSPTr/+Z//iczMTMjlcnR1dSEgIMBmuxACMpkM7e3tknfc2tqKJ598EkFBQVi1alWfMfv27cO0adMwe/ZsAMC1116LWbNm4c0338QDDzyAnTt3YvPmzQgLCwMAPP7444iLi0N9fb11TIq2tjYEBQVZfwPq7u6G0WiEt7e3zVMKPdfG/f39rQttGY1GdHd3Qy6Xw8/Pb0ix7e3tEELAz8/PelO3yWRCV1cXvLy8bFYutSe2o6MDFosFvr6+8Pa++KM2m83o7Oy0K1Ymk9n8zDs7O2E2m+Hj42O9/m9PrMViQUdHBwBAqVRaY7u6umAymaBQKODj42N3rBDC+ncwICCg18/TnlgpP3tH/D3p6+fpiL8nPT/P4f49ufznOdy/J/39PIf79+TSn+dw/5709/Mc6t8Te48RXV1dqKiogMFgsLZx6OzshBACPj4+1p+n2WxGd3c3FAoFJk6ciOjoaAA8RgznZ89jxOg6RkgmJGpvbxclJSUiPj5elJaW9vk1FIcPHxaZmZl9blu+fLl49tlnbcaeeOIJsXz5cmE0GoVCoRA1NTU229PS0sSRI0f6fL/Ozk7R1NRk/SorKxMABABRXV1tsw8A4he/+IXN6wMCAgQAUVJSYh377//+bwFA3H333TaxERERAoA4c+aMdewPf/iDACBuv/12m9ikpCQBQHzzzTfWsby8PAFAzJ492yZWrVYLAOLw4cPWsbffflsAEFdddZVNbE5OjgAg3n//fevYRx99JACIyZMn28TOmjVLABBvvfWWdezLL78UAERaWppN7C233CIAiD179ljHTp48KQCIuLg4m9gFCxYIAGL37t3WsYKCAgFAqFQqm9hly5YJAOKZZ56xjpWXlwsAwtvb2yZ29erVAoDYvHmzdayhocH68+zu7raOb9iwQQAQGzZssI51d3dbYxsaGqzjmzdvFgDE6tWrbfbn7e0tAIjy8nLr2DPPPCMAiGXLltnEqlQqAUAUFBRYx3bv3i0AiAULFtjExsXFCQDi5MmT1rE9e/YIAOKWW26xiU1LSxMAxJdffmkde+uttwQAMWvWLJvYyZMnCwDio48+so69//77AoDIycmxib3qqqsEAPH2229bxw4fPiwACLVabRM7e/ZsAUDk5eVZx7755hsBQCQlJdnE3n777QKA+MMf/mAdO3PmjAAgIiIibGLvvvtuAUD893//t3WspKREABABAQE2sb/4xS8EAPHEE09Yx6qrq60/z0s98MADAoDYtGmTday1tdUa29raah3ftGmTACAeeOABm/cYyWPE73//ewFAXH311eLw4cPWr+joaAFAvPTSS9axnnyvu+46m/flMeIiHiMu8tRjRFNTkwAgmpqaxGAkP3Xl7++P5ORkvPTSS0hKSpL6smExGAy4/vrrbcaioqLwz3/+EzU1NTCbzYiIiOi1va6urs/32759O7Zu3eq0fImIhqqhoQHnzp2THN9z1ppLexANTNJTV+fOnbMWNwNdLx5KB9wjR45g1apV0Ol0vbbNnj0bS5cuxdKlS61jL7/8Mj744AP87ne/Q1JSEkwmk81Nd7m5uXj44Ycxf/78Xu/X1dWFrq4u6/fNzc1ISEiAwWBATEwML13xtDRPS7vRaemxcunKz88P58+fx7lz52AymWA0GiGXy6359vz5iH9duvLz80NWVhZUKhWPEXbG8hjhOccIe566klTo3Hzzzfjwww8BXHx0USaT4fKXyWQymM3mwd6ql4EKnUWLFiE3NxcPPvigdezxxx9HeXk5duzYgaCgINTW1trcj5Oamoq8vDzMmDFj0H3z8XIicqXOzk5otVo0NTVJig8JCUF2djZXOKYxz+GPlx88eND6/xaLBWazGRaLxeZrKEXOYKZOnYqvvvrKZuzo0aOYMWMGlEolMjMzbbZXVFSgqqoKkydPdnguRESO1NPGQWqRk5yczDYOREMgqdDpObU2kIceemjYyVxuyZIl+PTTT3Ho0CEAFwsunU6HhQsXAgBWrlxpfTy9u7sbjz76KH75y1/2eiqMiMhdWCwWFBYWIj8/HyaTadB4X19fXHHFFUhOTubaOERDYHdTz/4cOHDAIe+Tl5eHBx54AAAQHx+PN954A6tXr0ZUVBSeeOIJvPfee9brdg888ABmzZqFjIwMJCcnw9/fH0899ZRD8iAicrT29nacOHECFy5ckBQfHh6OnJwchISEODcxIg9mdwuI/qSkpKCkpMQRbzVieI8OEY0EYWcbB5lMhtTUVK5wTNQPez6/JT9ePhj+YyQi6s1kMqGgoEDyCsf+/v5Qq9UICgpycmZEY4OkQmf16tUDbhdC9Lt2DRHRWNXS0gKNRmN9XHYw0dHRSE9Ptz6WS0TDJ+lfU8/S4gO59BFwIqKxTAiB8vJynD17ttdSHH2Ry+VIT09HTEzMCGRHNLY47B6d0Yj36BCRo3V3d0Ov10s+yx0YGAi1Ws2nRYns4JJ7dIiIxrrGxkZoNBp0d3dLih83bhxSU1MlLeFBREPDQoeIaJiEECgtLZXcq8rb2xtZWVm9evURkeOx0CEiGgZ72zioVCqo1WqucEw0QljoEBENUW1tLXQ6naQVjgEgKSmJKxwTjTAWOkREdrJYLCguLpa8wrGPjw/UajVXOCZyARY6RER2aG9vh0ajQWtrq6T48PBwZGVlQaFQODkzIurLgIXOa6+9ZvcbLl68mP+gicgj9bRxMJvNg8ayjQORexiw0Pn44497jX399ddITEzEuHHjem2TyWRYsGABCx0i8igmkwmFhYWoqqqSFM82DkTuY8BCZ+/evb3G7r33XixcuBBz5851WlJERO7C3jYOUVFRyMjIYBsHIjcx6L/En//85zbff/3116ioqMA777zTZ/yf/vQnhyRGRORKQghcuHABxcXFkto4eHl5ISMjA9HR0bxUReRGBi10Zs2aNeD3RESexmg0QqfTSW7joFQqMWHCBLZxIHJDgxY6P/7xjxEXF9fntm+++QaFhYVYsmSJwxMjInKFxsZGaLVadHV1SYpnGwci9zbov8zc3Nx+tzU0NODQoUMOTYiIyBV62jicOnVKUpHj7e2NCRMmID09nUUOkRsb9IzOQNemAwIC0NLS4tCEiIhGWldXF7RaLRobGyXFq1QqZGdnw8/Pz7mJEdGwDVroDHRTnUKhkPwkAhGRO6qrq4NOp4PRaJQUzzYORKPLoIWO2WxGWVlZn2d2qqqqJPd4ISJyJxaLBWfPnkV5ebmkeB8fH2RnZyM0NNTJmRGRIw1a6CgUCsyaNavfS1gzZ850eFJERM5kbxuHsLAwZGVlwcfHx8mZEZGjDVrolJaWjkAaREQjo6qqCgUFBZLbOIwfPx7x8fG8VEU0SnHpTiIaE8xmMwoLC1FZWSkp3s/PD2q1GsHBwU7OjIicaUjPRD799NOOzoOIyGlaW1tx4sQJyUVOVFQUcnJyWOQQeYBBC53CwkLr/z/22GPo7u7G888/79SkiIgcoaeNw7fffov29vZB4728vJCZmYns7Gz2qiLyEIMWOj0tH4QQeOutt+Dj42NzY/JHH32EX/3qV3j99dedlyURkZ2MRiPy8/NRWFgIi8UyaLxSqcTUqVMRGxvL+3GIPMighU5PUXPo0CHMmDHDZtupU6ewYsUKxMXFYdu2bdi/f79zsiQiskNTUxOOHz+O2tpaSfFxcXGYMmUKlEqlkzMjopE2aKHT85vNCy+8gNWrV9uM/c///A+ef/55bN68GXl5efjDH/7gxFSJiAYmhMC5c+dw8uRJu9o4ZGRkQC6Xj0CGRDTSJJ3ReeGFF6BUKjF9+nSbbd9//z2uv/56AMC0adNQVlbmnCyJiAbR1dWF7777DiUlJZLig4ODkZOTg8jISCdnRkSuNOjddlVVVXjsscdw/vz5Xtvq6+ttVgkdqC8WEZGz2NvGITExEcnJyWzGSTQGDPqvPDIyEvfffz+2bdvWa1tISAiam5v//WY8aBDRCLJYLCguLsb3338vqcjx8fHBpEmTMH78eB6viMaIQf+ly+VyPPnkkzh9+nSvVZIzMzPx//7f/wMA6PV6REREOCVJIqLLdXR04OTJk5IvmYeGhiInJwdhYWFOzoyI3InkX2l+/etf449//COAf1+iWrp0KX7zm99gz549WL58OZYtW+acLImILlFVVYXjx4+jpaVl0NieNg6TJk1iryqiMUjy4+W33norjhw5YrNt1qxZ2LhxI9566y3MmTMHv/jFL5ySJBERcLGNg06ng1arldSrys/PD1deeSUSExO5Ng7RGDXozcj79u27GOjt3eupKwBYsWIFVqxY4fjMiIgu0draCo1GI2mFY+Di/YWZmZlc4ZhojBv0CPCjH/3I+v87duwAACxevNhpCRERXUoIAYPBgOLiYkkrHHt5eSEtLY0rHBMRgCF2L9+1a5ej8yAi6sVoNEKv10te4VipVEKtVnOFYyKy4jldInJLTU1N0Gg0klY4BoDY2FikpaVxhWMissFCh4jcihAC58+fR2lpqaRFSOVyOTIzMxEVFTUC2RHRaMNCh4jcRnd3N7RaLRoaGiTFBwUFQa1Ww9/f38mZEdFoxUKHiNxCfX09tFqt5DYOCQkJSElJ4QrHRDQgFjpE5FIWiwUlJSWSVzhWKBTIzs7mCsdEJImkX4X+4z/+A8DFmwN/8pOfODUhIho7Ojo6cOrUKbvaOEybNo1FDhFJJumMTkVFBQDAZDKhuLi41/aWlhYEBQU5NjMi8mjV1dXQ6/WSVjiWyWRITk7mCsdEZLcBz+g8/vjjSElJwf79+zF+/HhMmTIFpaWlGD9+PO6//36YTCb85Cc/gUqlQk5ODurr60cqbyIapcxmM/R6PTQajeQ2DldccQWSkpJY5BCR3WRigOc36+rq0NjY2Oe2wMBAfPDBB/jggw/w6quv4vHHH4e3tzf+67/+y1m5OlxzczNUKhWampoQHBzs6nSIPF5bWxvy8/PtauOQkZEBhULh5MyIaDSx5/N7wEKnLyaTCa+88grWrFmD+fPn47HHHsOUKVPQ2NiIH/3oRzh16tRwch9RLHSIRoYQAhUVFSgqKmIbByIaNns+vwe9R+e1116z/v/SpUvh7e2N559/HmvWrMGFCxeQkZEBAAgJCZG8gikRjR0mkwl6vR41NTWS4gMCAqBWqxEYGOjkzIhoLBj0qavVq1fj448/xv33328dk8vlEEKgs7MTfn5+1nE7Tw4RkYdrbm7G8ePHJRc5sbGxmDp1KoscInKYQc/ohIWFYe/evUhJSbGOyeVyGI1GREVFoaKiAgkJCZJORxPR2CCEQFlZGUpKStjGgYhcakhLinp5ecFisWDGjBn461//CgD4xz/+gcmTJzs0OSIafbq7u3H69GmcPXtWUpETFBSEnJwcFjlE5BRDXhlZCIFf/vKXmD59Oj7//HN8+eWXeOeddxyYGhGNNvX19dDpdOju7pYUzzYORORsgxY6l/5G9p//+Z8QQqC2thZCCCQmJuLLL7/EwYMH8R//8R+YMmWKU5MlIvdksVhQWlqK8+fPS4pXKBTIyspCeHi4kzMjorFu0ELnwQcfBACsW7fOuqbOmjVr4OPjAwBIS0vD2rVrnZchEbm1zs5OaDQaNDc3S4oPCQlBdnY2fH19nZwZEdEQ1tHxJFxHh2h4ampqoNfrYTKZBo1lGwcichR7Pr9ddmG8o6MDK1euRFJSEuLj47Fx48Y+n9zKy8vDxIkTERcXh9zcXOTn51u3GY1GrF27FgkJCUhOTsa9997b70rOROQ4ZrMZBQUFyM/Pl1Tk+Pr6so0DEbmEywqd9evXw2KxoLi4GPn5+Thy5Ah2795tE/PBBx9g27ZtOHjwIAwGA1atWoUFCxZY7xt66qmnoNFooNPpUFRUBIVCgXXr1rlgNkRjR1tbG7799lsYDAZJ8REREcjJyYFKpXJyZkREvQ14j05KSork376EEJDJZDh58uSgB7TW1lb85S9/wfnz5+Ht7Q2VSoVNmzZh27ZtNvf77N2713rGBgCWL1+O3bt34/PPP8esWbNw8uRJzJs3D0qlEgBw9913s9AhchIhBCorK1FYWCi5jUNqairi4uJ4FoeIXGbAQueTTz6x+V4IgbVr12LRokWYOXNmn6+R8lvbiRMnkJKSYvPExfTp03HmzBmYTCZ4e19My2g09upuHBkZCb1ej1mzZuGnP/0pdu7ciUWLFkGpVOKll17CkiVL+t1vV1eXTZsKqTdPEo11JpMJBQUFqK6ulhTPNg5E5C4GvHSVmpqKCxcuWL8MBgM6OjpQW1trM37plxQGgwHR0dE2Y1FRUTCZTDbFx8KFC7Fr1y7o9XoIIfDee+/hiy++QG1trXV7QkIC4uLiEB4ejvLycvzmN7/pd7/bt2+HSqWyfvWcKSKi/vW0cZBa5MTExLCNAxG5jUEfL9+8eXOvsb///e/4+9//3mtcJpPh0KFDg+7UbDb3WjG158zNpae4Fy1ahPr6eixYsACtra246aabcN1111kPoOvXr4eXlxfq6urg4+ODRx55BIsXL8bbb7/d534fffRR6+PywMUDOIsdor4JIVBeXi55hWO5XI6MjIxev8QQEbnSoIXO4cOHHb7TsLAw61mZHjU1NfD39+916WvVqlVYtWqV9ftp06YhMzMT7e3t+N3vfofKykrra3bs2IGIiAgUFhYiPT291359fX25dgeRBN3d3dDpdKivr5cUHxgYCLVajYCAACdnRkRkn0ELneuvv37A7Q888ABuv/12u3Y6ZcoU6PV6NDQ0IDQ0FABw9OhRTJ8+fcCl4PV6PYqKinDttdfCbDbDbDZb7+cBLt78KJPJJC8/T0S9NTQ0QKvVSv53FB8fj/Hjx7ONAxG5pUELnTNnzmD//v19bvvzn/8s+b6cS8XExODmm2/Gpk2b8OKLL6KxsRFPPvkktm3bZhPX0NCArq4uxMTEoKKiAitWrMCWLVvg7+8PANb32LlzJ7y8vLBt2zbEx8cjKyvL7pyIxjohBEpLS3Hu3DlJ8WzjQESjwaCFjq+vL2bNmtXntiNHjgx5x6+++ipWrFiB2NhYKJVKbNiwAfPmzUNeXh6OHTuGF154AXV1dbjxxhthMpmgVCpx//33Y82aNdb32Lt3LzZu3Ij09HRYLBbk5OTg/fffh1wuH3JeRGNRZ2cntFotmpqaJMWzjQMRjRaDtoBITEzst1Hf1q1bERkZidWrVzslOWdjCwgi+9o4AEBycjJXOCYil7Ln83vQMzpNTU29Lin1+Oyzz7BgwYKhZUlELmWxWFBUVCR5hWNfX19kZ2cjJCTEuYkRETmQpO7l/Z30mTVrFqZPn+7wpIjIudrb25Gfn4+2tjZJ8eHh4cjKyoJCoXByZkREjsXu5bx0RWOIvW0cZDIZUlNTMW7cOF6qIiK34dBLV5dqbW2Fj48PfHx8hpUgEY08e9s4+Pv7Q61WIygoyMmZERE5j10LXzz00EM4cOCAs3IhIidpaWnBiRMnJBc50dHRmDp1KoscIhr1Bjyjc/nTVs3NzaitrbUZ7+kbBVxcmfjSFgtE5FpDaeOQnp6OmJiYEciOiMj5BrxHZ7A+UDKZDKtWrcKmTZsAAHFxcZKf4HAHvEeHPFl3dzf0ej3q6uokxbONAxGNFg67R6esrKzfHfTVN2oM39dM5FYaGxuh0Wgkt3EYN24cUlNT2caBiDzOoEe1PXv29Bp76KGH8MEHH/Qa51MZRK4lhEBJSQlOnTolqcjx9vbGD37wA6Snp7PIISKPNOhTV5s3b8Ztt92GpqYm+Pv7w9/fH35+fmhsbByB9IhIKnvbOKhUKqjVarZxICKPNmihI4TA//3f/2H37t3o6OhAR0cHmpqasHPnzhFIj4ikqK2thU6nk9zGISkpCcnJyTwLS0Qeb9BCp+eG41WrVlnHHnvsMd6PQ+QGLBYLiouLceHCBUnxPj4+UKvVbONARGOGXQsG9rj0t8CCggIAF8/8mM1mx2RFRINqb2+HRqNBa2urpHi2cSCisUjSpat3330XBw4cQGdnJzo6OqDVavHwww+jo6MDt956K2QyGYQQfESbaIT0tHGQ8ssF2zgQ0Vgm6YxOSkoK5syZY70Zee/evQAuLhFfWFjo1ASJ6N9MJhMKCwtRVVUlKZ5tHIhorBu00Fm0aBEmTZqESZMmWce+/PJLPopKNMJaWlqg0WjQ0dEhKT4qKgoZGRnw9h7SFWoiIo/A7uVcGZncnBACFy5cQHFxsaSHALy8vJCRkYHo6GheqiIij+S07uVENLKMRiN0Op3kNg5KpRITJkxgGwcion9hoUPkphobG6HVatHV1SUpnm0ciIh6Y6FD5GaEEDh37hxKS0slxXt7eyMzMxORkZHOTYyIaBRioUPkRrq6uqDVaiW3WFGpVMjOzoafn59zEyMiGqVY6BC5ibq6Ouh0OhiNRknxbONARDQ4FjpELmaxWHD27FmUl5dLivfx8UF2djZCQ0OdnBkR0ejHQofIhext4xAWFoasrCz4+Pg4OTMiIs/AQofIRaqqqlBQUCC5jcP48eMRHx/PS1VERHZgoUM0wsxmMwoLC1FZWSkp3s/PD2q1motaEhENAQsdohHU2toKjUaD9vZ2SfFs40BENDw8ehKNACEEDAYDiouLYbFYBo338vJCeno6YmJieKmKiGgYWOgQOZnRaIRer0dtba2keKVSCbVaDaVS6eTMiIg8HwsdIidqamqCRqOR3MYhLi4OqampkMvlTs6MiGhsYKFD5ARCCJw/fx4lJSWS4tnGgYjIOVjoEDmYvW0cgoODoVar2caBiMgJWOgQOZC9bRwSExORnJzMjuNERE7CQofIASwWC0pKSlBWViYp3sfHB1lZWQgLC3NyZkREYxsLHaJh6ujogEajQUtLi6T40NBQZGdns40DEdEIYKFDNAz2tnFISUlBQkIC18YhIhohLHSIhoBtHIiIRgcWOkR2sreNQ2RkJDIzM9nGgYjIBXjkJZJoKG0c0tLSEBsby0tVREQuwkKHSAK2cSAiGp1Y6BANwt42DrGxsUhLS2MbByIiN8BCh6gfPW0cSktLIYQYNF4ulyMzMxNRUVEjkB0REUnBQoeoD93d3dBqtWhoaJAUHxQUBLVaDX9/fydnRkRE9mChQ3SZ+vp6aLVayW0cEhISkJKSwjYORERuiIUO0b/Y28ZBoVAgOzubbRyIiNwYCx0isI0DEZGnYqFDY151dTX0ej3bOBAReSAWOjRmmc1mFBUVoaKiQlK8n58fsrOzoVKpnJwZERE5CgsdGpPa2tqQn59vVxuHjIwMKBQKJ2dGRESOxEKHxhQhBCoqKlBUVMQ2DkREYwALHRozTCYT9Ho9ampqJMUHBARArVYjMDDQyZkREZGzsNChMaG5uRkajQadnZ2S4tnGgYjIM7DQIY8mhEBZWRlKSkrYxoGIaAxioUMei20ciIiIhQ55pPr6euh0OnR3d0uKZxsHIiLP5LKjekdHB1auXImkpCTEx8dj48aNfT4Fk5eXh4kTJyIuLg65ubnIz8+32V5ZWYnFixcjMTERcXFxeOihh0ZqCuSGLBYLzp49i9OnT0sqchQKBSZOnIjU1FQWOUREHshlR/b169fDYrGguLgY+fn5OHLkCHbv3m0T88EHH2Dbtm04ePAgDAYDVq1ahQULFljvtejs7MTs2bMxdepUlJSUwGAwYO3ata6YDrmBzs5OnDp1CufPn5cUHxISgpycHISHhzs5MyIichWXFDqtra34y1/+gqeffhre3t5QqVTYtGkT9uzZYxO3d+9erF27FgkJCQCA5cuXQ6lU4vPPPwcA/M///A/GjRuHDRs2WJ+OiY+PH9nJkFuoqanB8ePH0dzcPGhsTxuHyZMnw9fXdwSyIyIiV3HJPTonTpxASkqKzW/S06dPx5kzZ2AymeDtfTEto9HYq/9QZGQk9Ho9Zs2ahQMHDmD16tWS99vV1YWuri7r91I+FMm9mc1mFBcXw2AwSIr39fWFWq1mGwciojHCJWd0DAYDoqOjbcaioqJgMplsio+FCxdi165d0Ov1EELgvffewxdffIHa2loAwPfff4+Ojg5cc801SE5Oxq233oqCgoJ+97t9+3aoVCrrV8+ZIhqd2tra8O2330ouciIiIpCTk8Mih4hoDHHJGR2z2dxrTZOeMzeXLrO/aNEi1NfXY8GCBWhtbcVNN92E6667zrpSbUtLCw4cOID9+/cjMjISzz//PG677Tbk5+f32ZPo0UcfxYMPPmj9vrm5mcXOKCSEQGVlJQoLCyW3cUhNTUVcXBzbOBARjTEuKXTCwsKsZ2V61NTUwN/fv9dv26tWrcKqVaus30+bNg2ZmZkALv6G/uCDDyI2NhYA8NBDD+HZZ5+FTqfDxIkTe+3X19eX92SMciaTCQUFBaiurpYUzzYORERjm0sKnSlTpkCv16OhoQGhoaEAgKNHj2L69OkDPuKr1+tRVFSEa6+9FgAwYcIEtLS0WLfLZDLIZDL4+fk5dwLkEva2cYiJiUF6ejrbOBARjWEuuUcnJiYGN998MzZt2gSTyYTa2lo8+eSTWLdunU1cQ0MDKisrAQAVFRVYsWIFtmzZYl259r777sMTTzyBuro6AMBzzz2HtLQ0pKWljeh8yLl62jicPHlSUpEjl8uRnZ2NrKwsFjlERGOcy1ZGfvXVV7FixQrExsZCqVRiw4YNmDdvHvLy8nDs2DG88MILqKurw4033giTyQSlUon7778fa9assb7HnXfeiYKCAkyePBkKhQJTp07FX//6V96H4UG6u7uh0+lQX18vKT4wMBBqtRoBAQFOzoyIiEYDmZDS6dBDNTc3Q6VSoampCcHBwa5Ohy7T0NAArVYruY1DfHw8xo8fzxWOiYg8nD2f3+x1RW5HCIHS0lKcO3dOUrxCoUBWVhZXOCYiol5Y6JBb6ezshFarRVNTk6T4kJAQZGdn82k6IiLqEwsdchs1NTXQ6/UwmUyS4pOTk5GUlMR7soiIqF8sdMjlLBYLioqK7GrjkJ2djZCQEOcmRkREox4LHXKp9vZ25Ofno62tTVJ8eHg4srKy+lz5moiI6HIsdMgl7G3jIJPJkJqainHjxvFSFRERScZCh0acvW0c/P39oVarERQU5OTMiIjI07DQoRHV0tICjUaDjo4OSfHR0dFIT0+Htzf/qhIRkf346UEjQgiB8vJynD17tlfn+r7I5XKkp6cjJiZmBLIjIiJPxUKHnK67uxt6vd7ak2wwbONARESOwkKHnKqxsREajUZyG4dx48YhNTWVbRyIiMghWOiQU9jbxsHb2xtZWVmIiIhwcmZERDSWsNAhh7O3jYNKpYJarWYbByIicjgWOuRQtbW10Ol0kts4JCUlITk5mWvjEBGRU7DQIYewWCwoLi7GhQsXJMX7+PhArVazjQMRETkVCx0atvb2dmg0GrS2tkqKZxsHIiIaKSx0aFh62jiYzeZBY9nGgYiIRhoLHRoSk8mEwsJCVFVVSYpnGwciInIFFjpkN3vbOERFRSEjI4NtHIiIaMTxk4ckE0LgwoULKC4ultTGwcvLCxkZGYiOjualKiIicgkWOiSJ0WiETqeT3MZBqVRiwoQJbONAREQuxUKHBtXY2AitVouuri5J8WzjQERE7oKFDvVLCIFz586htLRUUry3tzcyMzMRGRnp3MSIiIgkYqFDferq6oJWq0VjY6OkeJVKhezsbPj5+Tk3MSIiIjuw0KFe6urqoNPpYDQaJcWzjQMREbkrFjpkZbFYcPbsWZSXl0uK9/HxQXZ2NkJDQ52cGRER0dCw0CEA9rdxCAsLQ1ZWFnx8fJycGRER0dCx0CFUVVWhoKBAchuH8ePHIz4+npeqiIjI7bHQGcPMZjMKCwtRWVkpKd7Pzw9qtRrBwcFOzoyIiMgxWOiMUa2trcjPz2cbByIi8mj81BpjhBAwGAwoLi6GxWIZNN7Lywvp6emIiYnhpSoiIhp1WOiMIUajEXq9HrW1tZLilUol1Go1lEqlkzMjIiJyDhY6Y0RTUxM0Go3kNg5xcXFITU2FXC53cmZERETOw0LHwwkhcP78eZSUlEiKZxsHIiLyJCx0PJi9bRyCg4OhVqvZxoGIiDwGCx0PZW8bh8TERCQnJ7PjOBEReRQWOh6GbRyIiIj+jYWOB+no6IBGo0FLS4uk+NDQUGRnZ7ONAxEReSwWOh7C3jYOKSkpSEhI4No4RETk0VjojHJs40BERNQ/FjqjWGtrKzQaDdrb2yXFR0ZGIjMzk20ciIhozOAn3ig0lDYOaWlpiI2N5aUqIiIaU1jojDJs40BERCQdC51RxN42DrGxsUhLS2MbByIiGrNY6IwCPW0cSktLIYQYNF4ulyMzMxNRUVEjkB0REZH7YqHj5rq7u6HVatHQ0CApPigoCGq1Gv7+/k7OjIiIyP2x0HFj9fX10Gq1kts4JCQkICUlhW0ciIiI/oWFjhuyWCwoKSlBWVmZpHiFQoHs7GyEhYU5OTMiIqLRhYWOm2EbByIiIsdhoeNGqqurodfr2caBiIjIQVjouAGz2YyioiJUVFRIivfz80N2djZUKpWTMyMiIhrdWOi4WFtbG/Lz8+1q45CRkQGFQuHkzIiIiEY/FjouIoRARUUFioqK2MaBiIjISVjouIDJZIJer0dNTY2k+ICAAKjVagQGBjo5MyIiIs/isgVXOjo6sHLlSiQlJSE+Ph4bN27s88xGXl4eJk6ciLi4OOTm5iI/P7/P93vjjTcgk8lQWVnp7NSHpbm5GcePH5dc5MTGxmLq1KkscoiIiIbAZYXO+vXrYbFYUFxcjPz8fBw5cgS7d++2ifnggw+wbds2HDx4EAaDAatWrcKCBQt6tUEwm83Yvn37SKZvt542DidPnkRnZ+eg8XK5HGq1GpmZmexVRURENEQuKXRaW1vxl7/8BU8//TS8vb2hUqmwadMm7NmzxyZu7969WLt2LRISEgAAy5cvh1KpxOeff24T9/vf/x4zZ84csfzt1d3djdOnT+Ps2bOSelUFBQUhJyeHvaqIiIiGySWFzokTJ5CSkoLw8HDr2PTp03HmzBmYTCbrmNFo7LWmTGRkJPR6vfX78vJy7Ny5E9u2bXN+4kNQX1+P48ePS+5VlZCQgCuvvJK9qoiIiBzAJYWOwWBAdHS0zVhUVBRMJhOam5utYwsXLsSuXbug1+shhMB7772HL774ArW1tQAuXrK6++67sXnzZkntD7q6utDc3Gzz5SwWiwVnz57F6dOn0d3dPWi8QqHAxIkTkZqayl5VREREDuKSp67MZnOf99kAsHl0etGiRaivr8eCBQvQ2tqKm266Cdddd531xtwtW7YgKioKS5culbTf7du3Y+vWrQ6aRf/a2jvw/ZkzaG1tgVwmG/Rx8JCQEGRnZ8PX19fpuREREY0lMiHlphEHO3jwIB555BGcPn3aOlZWVobMzEy0trYOeEZj2rRpeOKJJ6BQKLBixQqcOHHCejZHJpOhoqICMTExfb62q6sLXV1d1u+bm5uRkJCApqYmBAcHD2tOZotAcU0rvj5TguKiQgiLCTIAvgo5xoX4IzrYD/4+tjcVy2QyJCcnIzExkWvjEBERSdTc3AyVSiXp89slZ3SmTJkCvV6PhoYGhIaGAgCOHj2K6dOnD1jk6PV6FBUV4dprr8Xy5ctRU1OD8ePH28RkZmZi586d+NnPftbr9b6+vk45a1JW347/O34e5edKgI4G+HnLIfeSQQiBlk4jzlzoRnF1K8aF+SM9KghyLxl8fX2hVqvZxoGIiMiJXHJGBwBuv/12xMXF4cUXX0RjYyOuv/56bNu2DfPmzbPGNDQ0oKurCzExMaioqMDChQuxcOFCPPDAA32+52BndC5nT0XYn6LqVuR9XYLmC4UI8TZDIe9dqAkh0GE0o6PbjISwAMyaNB4T1Nls40BERDQE9nx+u+yu11dffRUGgwGxsbHIycnBypUrMW/ePOTl5VkLmbq6Olx11VVITEzE9ddfj8WLF/db5LhCdUsn9n1zDtWtRsTExPZZ5AAXC7AAH28EB/igqDMQZ02hLHKIiIhGgMvO6LiD4Z7Ref87A/72nQGZ0UGQyQBTXRnM7U19xnopfOEdnoCGbi90my148MeZiFH5DXcKREREY86oOKMz2rV1mXCstB4hAQp4eV18sso7bBxk3r3P1MiVoVBEp8LLxx9hSh80dRjxXZm0dXWIiIho6FjoDJG2ohnVLV2IDPz3zc0yLzkU4f9+gkrm5QVFeDwU4fGQeV184komkyHIV4FvSuvRbRq8azkRERENHQudIWpsNwIAvC+7L8fLNwByVTS8fPyhiE6DXBna67VBft5o6TShtcvUaxsRERE5jkseL/cEpj46rfeQB0VAHhQOmazvOtJLJoPFIgZ8DyIiIho+FjpD5OstR393cV+8dNX/AoBGiwVyuRd82ZWciIjIqXjpaojiQvzhI5ehvdv+y08Nbd2ID/VHkB/rTCIiImdioTNEaVGBSI4IRFVz1+DBlzCZLTBZBH6YEg4vL7Z9ICIiciYWOkMk95IhNyUMRrPFrrM65Y0diFH5YULc8HprERER0eBY6AzD1ORQTEsOxbm6dnR0mweMFULgQkMHvL1kuP2KcVD68rIVERGRs/HTdhh8veVYmJMAiwCOn6uHv8Ib0cG+8PX+903GQgg0dhhR09yFIH9v3DElAVckhLguaSIiojGEhc4wBfkpcE9uElKjAvH/ztahrL4DJrMFci8ZLAKwCAGVvwI/HB+Gq9MikB4d5OqUiYiIxgwWOg7gp5DjuswoXJ0aAV1lM87Xt6O92wxvLxlU/gqo44IRE+xnXTGZiIiIRgYLHQfy8fbCpPgQTIoPcXUqREREBN6MTERERB6MhQ4RERF5LBY6RERE5LFY6BAREZHHYqFDREREHouFDhEREXmsMf14uRACANDc3OziTIiIiEiqns/tns/xgYzpQqelpQUAkJCQ4OJMiIiIyF4tLS1QqVQDxsiElHLIQ1ksFhgMBgQFBTl81eLm5mYkJCSgrKwMwcGe36mc8/VsnK9nG2vzBcbenD1tvkIItLS0IC4uDl5eA9+FM6bP6Hh5eSE+Pt6p+wgODvaIv1RScb6ejfP1bGNtvsDYm7MnzXewMzk9eDMyEREReSwWOkREROSxWOg4ia+vLzZv3gxfX19XpzIiOF/Pxvl6trE2X2DszXmszfdSY/pmZCIiIvJsPKNDREREHouFDhEREXksFjpERETksVjoEBERkcdioWOHjo4OrFy5EklJSYiPj8fGjRthsVh6xZ08eRK5ublISkqCWq3GRx99ZLN9586dSEtLw7hx4zBv3jzU1taO1BTs5og5nz17FvPnz0dmZiYSEhJw3333oaOjYySnIZmjfsY93njjDchkMlRWVjo79SFx1HwrKyuxePFiJCYmIi4uDg899NBITcEujpiv0WjE2rVrkZCQgOTkZNx7771obGwcwVlIJ3W+AFBfX49f/OIXePrpp3ttGy3HLEfM1xOPV8DAP98e7n68GjJBkt13331ixYoVwmg0isbGRpGTkyNeeOEFm5jm5mYxbtw48fHHHwshhPjss8+ESqUSFRUVQggh3nzzTXHllVeKuro6YTKZxKpVq8T8+fNHfC5SOWLO27dvF++995419sc//rF4+OGHR3YiEjlivj1MJpOYNGmSANBrm7twxHw7OjrEhAkTxLPPPitMJpMQQoiysrKRnYhEjpjvtm3bxA033CBaW1uF0WgUP/vZz8SyZctGeiqSSJmvEEJs3LhRhIeHi4SEBLF9+3abbaPpmOWI+Xra8UqIgefbYzQcr4aKhY5ELS0tIiAgQNTW1lrH/vrXv4orrrjCJu6VV14R8+bNsxmbO3eu2LlzpxBCiBkzZoh33nnHuq2mpkYoFApRV1fnxOyHxlFzvty7774rpk2b5viEh8nR8921a5dYs2aN2x44HDXfXbt2iRtvvNH5CQ+To+Y7f/588eKLL1q3ffzxx2LChAlOzHxopM5XCCEef/xxUVBQIJYtW9brg3C0HLMcNd/LjfbjlRDS5uvux6vh4KUriU6cOIGUlBSEh4dbx6ZPn44zZ87AZDJZx77++mtcffXVNq+dPn06Tp06BZPJhOPHj9tsj4iIQFJSEr7//nvnT8JOjphzX2pqaiT3KBlJjpxveXk5du7ciW3btjk976Fy1HwPHDiAn//85yOS83A4ar4//elP8frrr6O6uhptbW146aWXsGTJkhGZgz2kzhcAfvvb3yI9Pb3Xe4ymY5Yj5tuX0X68Agaf72g4Xg0HCx2JDAYDoqOjbcaioqJgMpnQ3Nw8aFxdXR1qampgNpsRERHR53Z344g5X66urg5PPfUUVqxY4Zykh8FR8zWbzbj77ruxefNmhIWFOT/xIXLUfL///nt0dHTgmmuuQXJyMm699VYUFBQ4fwJ2ctR8Fy5ciISEBMTFxSE8PBzl5eX4zW9+4/wJ2EnqfAcymo5Zjpjv5TzheDWY0XK8Gg4WOhKZzWaIyxaRNpvNAACZTDZonEwms8b3t93dOGLOlzp9+jSuuuoq3HXXXbjrrruclPXQOWq+W7ZsQVRUFJYuXerkjIfHUfNtaWnBgQMHsH//fhQVFeHaa6/FbbfdBqPR6OQZ2MdR812/fj28vLxQV1eHhoYG5ObmYvHixU7O3n5S5zvYewCj45jliPleylOOV4MZLcer4fB2dQKjRVhYWK8nDWpqauDv729zWrO/uJiYGISGhkIIgYaGBpvKuWe7u3HEnHvs2bMHmzZtwu7du3HnnXc6N/EhcsR8Dx06hLy8PJw4cWJEch4OR/18IyIi8OCDDyI2NhYA8NBDD+HZZ5+FTqfDxIkTnTwL6Rwx3/b2dvzud79DZWWl9TU7duxAREQECgsLJV8OGQlS5zuQ0XTMcsR8e3jS8Wogo+l4NRw8oyPRlClToNfr0dDQYB07evQopk+fDi+vf/8xTp06FV999ZXNa48ePYoZM2ZAqVQiMzPTZntFRQWqqqowefJk50/CTo6YM3DxHo5t27bhiy++cNuDBuCY+b7yyiuoqanB+PHjERISgpCQEABAZmYm9uzZMyLzkMpRP98JEyagpaXFuk0mk0Emk8HPz8/JM7CPI+ZrsVhgNpvh7f3v3xG9vLwgk8nQ3d3t/EnYQep8BzKajlmOmC/gecergYym49WwjPjtz6PY3LlzxapVq4TRaBQ1NTVi4sSJ4u2337aJKSsrEyEhIeLTTz8VQgjx97//XSQlJYnW1lYhhBA7duwQOTk5oqGhQXR1dYlly5aJdevWjfRUJHPEnGfMmCHeeOONkU59SBwx38vBjZ9icMR8Dxw4IHJycqxPfzz77LMiNzdXWCyWEZ2LFI6Y7y233CLWrFkjjEajMJvNYvPmzWLixInWR+vdiZT5Xqqvp3JG0zHLEfP1tOPVpaQ8ZebOx6uhYqFjh5qaGjF37lwREREhkpKSrI+Y7t27V6xdu9Ya9+GHH4rMzEwRGRkpZsyYIU6fPm3dZjabxfr160VkZKSIjY0Vq1atEp2dnSM+F6kcMeeeuSYlJdl8VVdXj/h8BuOI+V7OnQ8cjprvk08+KcaNGyeSk5PFnXfeKQwGw4jOQypHzLeurk78/Oc/F8nJySIxMVHccccd4ty5cyM+FymkzrdHXx+Eo+mY5Yj5euLxqsdYLXRkQlx2NxMRERGRh+A9OkREROSxWOgQERGRx2KhQ0RERB6LhQ4RERF5LBY6RERE5LFY6BCRR3n11Vd79frp6urCyZMnXZQREbkSCx0ichmZTNar0/JgPvnkE+zatavf7Zs3b0Z9fb3NWEVFBebMmTOkHO+55x78+c9/HtJricj1WOgQkVMcPnwYMTExNl9hYWHW1hF9KSsr6/WawMBArFy50hpTWlqKb7/91vr9P//5T6SlpVm//Pz8MHv2bOv3AxVFAFBSUoI777wT8fHxSExMxM9+9jNUV1cPOr/HHnsM8fHxfX4FBwfjqaeekvCnRETOxqaeROQU1113HSorK23G8vLy8N577/X7moSEhF6vWbBgAXJycpCcnAwAaG1txW233Wbd/sMf/hBFRUUAAIPBAIPBgLCwMKSkpFi7OJeWlva5v6amJtxwww3YsmUL3nrrLVgsFjz99NOYM2cOjh49atPT6nJeXl79bne3zt5EYxkLHSIaMZ9//jmuuuoqyfFarRZffvkl/vSnP1nP6vzxj3/El19+aRNXX1+PBQsWQKfTIS0tzXpGZt++fbjyyiv7ff933nkH06ZNw9KlSwEAcrkcv/3tb/G3v/0N33zzzYC51tXVYcOGDbj//vslz4eIRh4vXRHRiGhqasLbb7+NhQsXSoqvr6/HwoULsWvXLgQHBw8Yu2PHDowbNw7l5eX4/PPPodPpsG7dOqxdu9YaU1lZifj4eMycOdM6Vl1djYSEhF7vl5CQgKqqqkFz3LRpU69LbT1ft99+u6R5EpFz8YwOEY2ILVu24I477kBcXJzN+K233gqZTIaHHnoI119/PQDg2LFjWLx4MdasWYNFixahtLQU11xzDQCgvb0dc+fOtXkPf39/BAQEwMvr37+7KZVK+Pv7W7+PiYlBeXm5zeumT5+OX//61zCZTNbLUI2NjfjnP/+JHTt2DDifXbt2YefOnf1u5+UrIvfAQoeInG7//v145513cOLEiV7bnnzyScjlciQlJeH06dPYtWsXPvnkE7z44ovWJ6WSk5OtRUpfl64efPBBrFq1ChMmTEBycjJqamoQGBiIP/7xjwPmNWvWLFxzzTW44YYbsGzZMnR3d+Oll17CunXrkJSU1OdrNmzYgAMHDkie+69//WusX79ecjwRORa7lxORU+3btw/r16/Hhx9+iEmTJtlsk8lkMBqN1rMpW7duhb+/P1avXo3AwMA+36+wsBBVVVXWMzyXMpvNqKmpQUhICPz8/KzjLS0tePfdd3HPPff0+Z6HDx/GkSNHoFAo8JOf/ARTp061brvnnnswe/ZsLF++vNfrdDod5s2bB51OZx0LDAxEZWVlv/kT0cjiGR0icoqqqir89re/xWeffYZPPvkEarV60Nds3rwZwMVLSmfPnu03bvHixb0KnfLy8j6Lnx6xsbH9Fjr+/v545JFHbC51DWbr1q3Yv38/zp07h5ycHOt4R0cHrr32WqxatcrmsXgicg0WOkTkFPv27YO3tzeOHz8+6M3El/vmm2/63dbXpSsAiI+P7/cx8vLycuTm5vb7nnfddRc++eQTpKWl9dp26623Ij09vdf42rVrsWLFij7fb8eOHTAYDP3uj4hGDgsdInKKdevWjej+DAYDbrzxxj632bv68qUWL17c5/h//dd/9XuvTmNj44jPn4j6xkKHiDxCd3c3Wltb+z2r42i1tbXYsmVLn/fuEJH7YKFDRB7jwoULfV5+6vHmm2/a3Gh8qenTp9s8nn6pG264AW+++Wav8QcffBC//e1v+3zN5MmT8fe//11C1kTkTHzqiohcpra2FhEREXa9pqmpCe3t7YiNjXVSVkTkSVjoEBERkcdiCwgiIiLyWCx0iIiIyGOx0CEiIiKPxUKHiIiIPBYLHSIiIvJYLHSIiIjIY7HQISIiIo/FQoeIiIg8FgsdIiIi8lj/H05RJypmzvhLAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9878291611472619\n"
     ]
    }
   ],
   "source": [
    "# 판매량 Top 일부 상품 각각에 대한 각 상품별 가격할인률과 판매량 증대(lift)간의 관계\n",
    "\n",
    "# 대상 상품 선정\n",
    "prds2chk = sales[['item_id', 'qty']].groupby('item_id').sum().reset_index().nlargest(30, 'qty').item_id\n",
    "# 할인한 적 있는 상품 중에서만 선정 필요\n",
    "prds2chk = dftmppp7[(dftmppp7.dc_rate>0) & (dftmppp7.item_id.isin(prds2chk))].sample(3).item_id.unique()\n",
    "print('분석대상 상품 : ', prds2chk)\n",
    "\n",
    "for x in prds2chk: \n",
    "    plt.scatter(dftmppp7[dftmppp7.item_id==x].dc_rate, \n",
    "                dftmppp7[dftmppp7.item_id==x].lift_sale_qty,\n",
    "                alpha=0.5,\n",
    "                s=dftmppp7[dftmppp7.item_id==x].qty # 일평균판매량\n",
    "               )\n",
    "    varx = dftmppp7[dftmppp7.item_id==x].dc_rate\n",
    "    vary = dftmppp7[dftmppp7.item_id==x].lift_sale_qty\n",
    "    plt.plot(np.unique(varx), np.poly1d(np.polyfit(varx, vary, 1))(np.unique(varx)), \n",
    "             color='grey', linewidth=5, alpha=0.5)\n",
    "    plt.axhline(1, color='k', linestyle=':')\n",
    "    plt.xlabel('가격할인률')\n",
    "    plt.ylabel('판매량 증대 Lift')\n",
    "    plt.title(x)\n",
    "    plt.show()\n",
    "\n",
    "    print(np.corrcoef(varx, vary)[0,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c918a7db",
   "metadata": {},
   "source": [
    "- 주요 상품에서 가격할인 기간이 길지 않았기 때문에 할인가에 판매된 수량 비중 작음\n",
    "- 주요 상품 중 대부분이 가격할인한 기간에 정상판매 기간에서의 할인보다 일평균 판매량이 많지 않았음\n",
    "<br><br>\n",
    "- 가격할인의 진정한 효과를 파악하려면 할인한 행사 기간에 대한 판매량 추정치(**baseline sales**)를 구하는 방식 필요"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "6454a1c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.741573521115353\n"
     ]
    }
   ],
   "source": [
    "prds2chk= ['SH1004504']\n",
    "\n",
    "for x in prds2chk: \n",
    "    plt.scatter(dftmppp7[dftmppp7.item_id==x].dc_rate, \n",
    "                dftmppp7[dftmppp7.item_id==x].lift_sale_qty,\n",
    "                alpha=0.5,\n",
    "               s=dftmppp7[dftmppp7.item_id==x].qty)\n",
    "    varx = dftmppp7[dftmppp7.item_id==x].dc_rate\n",
    "    vary = dftmppp7[dftmppp7.item_id==x].lift_sale_qty\n",
    "    plt.plot(np.unique(varx), np.poly1d(np.polyfit(varx, vary, 3))(np.unique(varx)), \n",
    "             color='grey', linewidth=5, alpha=0.5)\n",
    "    plt.axhline(1, color='k', linestyle=':')\n",
    "    plt.xlabel('가격할인률')\n",
    "    plt.ylabel('판매량 증대 Lift')\n",
    "    plt.title(x)\n",
    "    plt.show()\n",
    "\n",
    "    print(np.corrcoef(varx, vary)[0,1])"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c95395c2",
   "metadata": {},
   "source": [
    "- SH1004504 는 할인한 가격이 여러 가지 였던 경우 (할인률은 변동 가능)\n",
    "- 판매가 부진할수록 큰 폭으로 할인하는 구조라면 할인이 클수록 판매량은 낮은 관계(bias) 가능\n",
    "- **할인 때문에 판매가 줄어든 것이 아니라** 판매가 줄어서 할인을 시도했던 것"
   ]
  },
  {
   "cell_type": "code",
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     },
     "execution_count": 49,
     "metadata": {},
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    }
   ],
   "source": [
    "# 할인 기간이 가장 여러 날이었던 상품은 무엇인가?\n",
    "# 상품별 판매된 날 수 와 그 중 최고가가 아니었던 날 의 수 비교\n",
    "\n",
    "# 상품별 가격별 판매일수 집계 (할인여부 무관)\n",
    "df_itemSaleDays = sales[['datea', 'item_id', 'unit_prc']].groupby(['item_id', 'unit_prc']).count().reset_index()\n",
    "display(df_itemSaleDays.head())\n",
    "\n",
    "# 상품별 최고가 파악\n",
    "df_itemMaxPriceDays = sales[['item_id', 'unit_prc']].groupby('item_id').max().reset_index()\n",
    "df_itemMaxPriceDays.columns = ['item_id', 'max_price']\n",
    "display(df_itemMaxPriceDays.head())\n",
    "\n",
    "# 최고가를 결합한 후 판매단가가 최고가보다 작은 금액인지를 체크\n",
    "df_itemSaleDays = df_itemSaleDays.merge(df_itemMaxPriceDays, how='left', on='item_id')\n",
    "df_itemSaleDays['is_DC'] = np.where(df_itemSaleDays.unit_prc<df_itemSaleDays.max_price,1,0)\n",
    "display(df_itemSaleDays.head())\n",
    "\n",
    "# 판매단가가 최고가와 다른 즉 가격할인이 있었던 날의 수를 집계\n",
    "df_itemDCdayStat = df_itemSaleDays[['item_id', 'is_DC','datea']].groupby(['item_id', 'is_DC']).sum().reset_index()\n",
    "display(df_itemDCdayStat.head())\n",
    "\n",
    "# 할인인 일수와 할인 없는 일수를 비교 가능하도록 pivot\n",
    "df_itemDCdayStat1 = df_itemDCdayStat.pivot(index='item_id', columns ='is_DC', values='datea').reset_index()\n",
    "display(df_itemDCdayStat1.head())\n",
    "\n",
    "# 할인이 있는 일자의 수가 7이상으로 많은 상품만 추출\n",
    "df_itemDCdayStat1[df_itemDCdayStat1[1]>=8]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "8a67dbbe",
   "metadata": {},
   "outputs": [],
   "source": [
    "items_DC = df_itemDCdayStat1[df_itemDCdayStat1[1]>=8].item_id"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "97319b5c",
   "metadata": {},
   "outputs": [
    {
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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.9293225697751466\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0.9966158955401239\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.31679164802624193\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "-0.1354048336327882\n"
     ]
    }
   ],
   "source": [
    "# 할인 기간이 긴 편이었던 상품 각각에 대한 각 상품별 가격할인률과 판매량 증대(lift)간의 관계\n",
    "\n",
    "# 대상 상품 지정\n",
    "prds2chk = items_DC[:4]\n",
    "\n",
    "for x in prds2chk: \n",
    "    plt.scatter(dftmppp7[dftmppp7.item_id==x].dc_rate, \n",
    "                dftmppp7[dftmppp7.item_id==x].lift_sale_qty,\n",
    "                alpha=0.5,\n",
    "                s=dftmppp7[dftmppp7.item_id==x].qty # 일평균판매량\n",
    "               )\n",
    "    varx = dftmppp7[dftmppp7.item_id==x].dc_rate\n",
    "    vary = dftmppp7[dftmppp7.item_id==x].lift_sale_qty\n",
    "    plt.plot(np.unique(varx), np.poly1d(np.polyfit(varx, vary, 1))(np.unique(varx)), \n",
    "             color='grey', linewidth=5, alpha=0.5)\n",
    "    plt.axhline(1, color='k', linestyle=':')\n",
    "    plt.xlabel('가격할인률')\n",
    "    plt.ylabel('판매량 증대 Lift')\n",
    "    plt.title(x)\n",
    "    plt.show()\n",
    "\n",
    "    print(np.corrcoef(varx, vary)[0,1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "11bde8e4",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "a95f9abd",
   "metadata": {},
   "source": [
    "### [예제 2] 상품군의 판매 추이와 시장 동향간 관계 - 외부데이터 결합 분석"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "id": "5f60e378",
   "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>lcat</th>\n",
       "      <th>scat</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>남성캐주얼</td>\n",
       "      <td>셔츠</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>여성캐주얼</td>\n",
       "      <td>바지</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>여성캐주얼</td>\n",
       "      <td>셔츠</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>여성캐주얼</td>\n",
       "      <td>재킷</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>여성캐주얼</td>\n",
       "      <td>치마</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>남성캐주얼</td>\n",
       "      <td>바지</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>코트</td>\n",
       "      <td>코트</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73</th>\n",
       "      <td>남성캐주얼</td>\n",
       "      <td>재킷</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     lcat scat\n",
       "0   남성캐주얼   셔츠\n",
       "1   여성캐주얼   바지\n",
       "3   여성캐주얼   셔츠\n",
       "7   여성캐주얼   재킷\n",
       "17  여성캐주얼   치마\n",
       "21  남성캐주얼   바지\n",
       "50     코트   코트\n",
       "73  남성캐주얼   재킷"
      ]
     },
     "execution_count": 103,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 상품군 리스트 확인\n",
    "\n",
    "sales[['lcat','scat']].drop_duplicates()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "id": "467b3ca3",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 값별 인원수와 구성비를 dataframe 형태로 출력하는 사용자 정의 함수\n",
    "# 건수 집계와 구성비 계산 작업의 반복적 과정을 한번에 처리해\n",
    "# 편의성을 높이기 위한 방법\n",
    "\n",
    "def 한글로(x):\n",
    "    # x is supposed to be a pandas series\n",
    "    dfx = pd.DataFrame(x)\n",
    "    # 한 줄은 한 건의 빈도\n",
    "    dfx['recCnt'] = 1\n",
    "    dfx = dfx.groupby(dfx.columns[0]).count().reset_index()\n",
    "    # 빈도로부터 구성비 계산. 100 곱해서 백분율 단위로\n",
    "    dfx['pcntrecCnt'] = dfx.recCnt/dfx.recCnt.sum() *100\n",
    "    return(dfx)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "id": "8249989d",
   "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>lcat</th>\n",
       "      <th>recCnt</th>\n",
       "      <th>pcntrecCnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>남성캐주얼</td>\n",
       "      <td>10175</td>\n",
       "      <td>24.263163</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>여성캐주얼</td>\n",
       "      <td>29650</td>\n",
       "      <td>70.702976</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>코트</td>\n",
       "      <td>2111</td>\n",
       "      <td>5.033861</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    lcat  recCnt  pcntrecCnt\n",
       "0  남성캐주얼   10175   24.263163\n",
       "1  여성캐주얼   29650   70.702976\n",
       "2     코트    2111    5.033861"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "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>sex</th>\n",
       "      <th>recCnt</th>\n",
       "      <th>pcntrecCnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>F</td>\n",
       "      <td>13000</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>M</td>\n",
       "      <td>13000</td>\n",
       "      <td>50.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  sex  recCnt  pcntrecCnt\n",
       "0   F   13000        50.0\n",
       "1   M   13000        50.0"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 상품군별 판매건수 빈도 집계\n",
    "\n",
    "# 대분류\n",
    "display(cntnpcnt(sales.lcat))\n",
    "\n",
    "# 소분류\n",
    "cntnpcnt(sales.scat)\n",
    "\n",
    "# 고객성별분포\n",
    "cntnpcnt(custmast.sex)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "5bf51fad",
   "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>0</th>\n",
       "      <th>recCnt</th>\n",
       "      <th>pcntrecCnt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>여성캐주얼_바지</td>\n",
       "      <td>15565</td>\n",
       "      <td>37.116082</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>여성캐주얼_셔츠</td>\n",
       "      <td>8418</td>\n",
       "      <td>20.073445</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>남성캐주얼_셔츠</td>\n",
       "      <td>4826</td>\n",
       "      <td>11.508012</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>여성캐주얼_치마</td>\n",
       "      <td>3698</td>\n",
       "      <td>8.818199</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>남성캐주얼_바지</td>\n",
       "      <td>3359</td>\n",
       "      <td>8.009824</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>코트_코트</td>\n",
       "      <td>2111</td>\n",
       "      <td>5.033861</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>남성캐주얼_재킷</td>\n",
       "      <td>1990</td>\n",
       "      <td>4.745326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>여성캐주얼_재킷</td>\n",
       "      <td>1969</td>\n",
       "      <td>4.695250</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          0  recCnt  pcntrecCnt\n",
       "3  여성캐주얼_바지   15565   37.116082\n",
       "4  여성캐주얼_셔츠    8418   20.073445\n",
       "1  남성캐주얼_셔츠    4826   11.508012\n",
       "6  여성캐주얼_치마    3698    8.818199\n",
       "0  남성캐주얼_바지    3359    8.009824\n",
       "7     코트_코트    2111    5.033861\n",
       "2  남성캐주얼_재킷    1990    4.745326\n",
       "5  여성캐주얼_재킷    1969    4.695250"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 대분류별 소분류 까지를 기준으로 건수 집계\n",
    "\n",
    "cntnpcnt(sales.lcat + '_' + sales.scat).sort_values('recCnt', ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "id": "3c02dee6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 대분류별 소분류의 판매건수를 사용자정의함수로 집계한 결과를 데이터프레임으로 저장한 후\n",
    "# 시각화\n",
    "\n",
    "# 집계결과를 테이블로 저장\n",
    "dfprdCatFreq = cntnpcnt(sales.lcat + '_' + sales.scat)\n",
    "dfprdCatFreq = dfprdCatFreq.sort_values('recCnt', ascending=False)\n",
    "\n",
    "# 저장한 결과 테이블을 시각화\n",
    "plt.bar(dfprdCatFreq[0], dfprdCatFreq.pcntrecCnt,\n",
    "       color = 'dodgerblue')\n",
    "plt.xticks(rotation=45, ha='right')\n",
    "plt.xlabel('대분류-소분류')\n",
    "plt.ylabel('판매건수 구성비 %')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "f0112485",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 특정 품목 또는 관심 품목 (분류)의 판매 추이 분석\n",
    "\n",
    "# 여성캐주얼.치마 상품군의 일자별 매출 수량 집계\n",
    "dfcatsales1 = sales[(sales.lcat=='여성캐주얼') &(sales.scat=='치마')][['datea','qty']].groupby('datea').sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(16,3))\n",
    "plt.bar(pd.to_datetime(dfcatsales1.datea, format='%Y-%m-%d'), # x축에 하루 단위로 표시할 필요 없기에 datetime 형식으로\n",
    "        dfcatsales1.qty)\n",
    "plt.ylabel('판매수량')\n",
    "plt.xticks(rotation=90)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "0cbe05b3",
   "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>date</th>\n",
       "      <th>gt_ladies_skirt</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2019-03-17</td>\n",
       "      <td>62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2019-03-24</td>\n",
       "      <td>21</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2019-04-14</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2019-10-06</td>\n",
       "      <td>20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>2019-11-03</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>2020-04-05</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>67</th>\n",
       "      <td>2020-04-19</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>89</th>\n",
       "      <td>2020-09-20</td>\n",
       "      <td>41</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>2020-09-27</td>\n",
       "      <td>16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>2020-11-29</td>\n",
       "      <td>45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "          date  gt_ladies_skirt\n",
       "10  2019-03-17               62\n",
       "11  2019-03-24               21\n",
       "14  2019-04-14               41\n",
       "39  2019-10-06               20\n",
       "43  2019-11-03                0\n",
       "65  2020-04-05                0\n",
       "67  2020-04-19                0\n",
       "89  2020-09-20               41\n",
       "90  2020-09-27               16\n",
       "99  2020-11-29               45"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 소비자 관심을 반영하는 구글검색지수 추출 ( https://trends.google.com/ )\n",
    "# 검색은 소비자의 해당 개체에 대한 관심도를 대변\n",
    "\n",
    "# [여성 치마] 키워드 조회결과를 CSV 파일로 다운로드한 후\n",
    "# 불러들임\n",
    "\n",
    "df_gt1 = pd.read_csv(dataPath + 'gt_ladiesSkirt.csv')\n",
    "display(df_gt1.sample(10).sort_values('date'))\n",
    "\n",
    "plt.figure(figsize=(16,3))\n",
    "plt.plot(pd.to_datetime(df_gt1.date, format='%Y-%m-%d'), df_gt1.gt_ladies_skirt)\n",
    "# plt.xticks(rotation=90) # datetime 형식이면 rotation 필요 없음\n",
    "plt.title('구글검색지수 - [스커트]')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3993d597",
   "metadata": {},
   "source": [
    "- **구글검색지수**는 대상기간 중 최대값을 100으로 지수화해 놓은 것\n",
    "- [ <1 ] 즉, 1보다 작으나 0은 아님 부분이 있으면 수치로 바꿔줘야함\n",
    "- 0과 1 사이의 값이므로 대략 0.5 정도로 바꿔주면 무방할 듯\n",
    "- 구글지수는 int 형식이므로 0.5가 들어가게되면 float으로 변경 필요"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "id": "ffb9698b",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# [ <1 ] 부분 바꾸기 예제\n",
    "\n",
    "# 예제 데이터 -- <1 값이 여러 개 존재하는 리스트\n",
    "sampleIndexValues = ['<1', '<1', '20','<1', '90', '100','75']\n",
    "\n",
    "# 문자열의 값을 0.5 로 바꿔주고\n",
    "sampleIndexValues = pd.Series(sampleIndexValues).str.replace('<1', '0.5')\n",
    "# 형식을 숫자 float로 변경\n",
    "sampleIndexValues = sampleIndexValues.astype(float)\n",
    "\n",
    "# 변경 결과의 시각화 확인\n",
    "sampleIndexValues.plot(marker='o')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "d694b0b3",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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Fuem+vj48/vjjAIC7774bzz77rO56ixYt0kyn02kEg0GcPHkSAPDYY48hlUrhkksuMR17uWBBkGEYhmGA/A5BWQYkqXTjmW3oiaostDIMwzAMw1Q8hw4dQjQaNV3mnnvuwT333KOZ95GPfARLliyx9By33norvvOd7zge46JFi9DV1YVvfOMb+NjHPoa6ujocPnwYu3fvxgc/+MG863d1deX+vuaaayw9p3odADh69Ciuv/56zbz7778fzz77LD7xiU9g69atlrZbKjgyzDAMwzCAuSAop4F0rHRjmY3ouQG5NiPDMAzDMExF8/vf/x6nT5/G448/jv3791teLxaL4ZlnnsHll19exNGJ/Pu//zv6+voAAPv27cPvfve7oj1Xe3u75p+ekHjbbbfhRz/6UcWJgQA7BBmGYRhGwUwQBBSXoC9cmrHMNtIJIBMX5yfHATkDSHx/kmEYhmEYptJ48skncdttt+EXv/gF+vv78e53vxs//elPsWXLFs1yQ0NDuOmmmzA0NITR0VH4fD5Eo1G0trZi/fr1lp7rhz/8IR588EHdx/7qr/4Kf/d3f2dpO+FwOOdmjEajCIe15+8vvfQSPv7xj+Oqq67Chz70IUvbNOLUqVNIJpPw+YyltfHxcfT396O2thaBQKCg53MbFgQZhmEYBrAgCI4BmFeSocw6DJuHZIDUJOCvLulwGIZhGIZhGGMOHjyI733ve3j00Ufxq1/9ChdddBEAoKamBh/84Afxnve8Bx/72MewevVqAEBDQwO+/e1vo7m5GQsWLEA6ncbmzZvxhS98Ae95z3uwY8cOAMDk5CT+9m//Vvc5P/rRjxYUGc6STxBsbW3FlVdeiZUrV1ra3oEDB/De974Xr776qhAHNiKRSOTEv3/4h3/AN7/5TXzrW9/CTTcVXs/RTVgQZBiGYRggvyCY5I64jjGLBqfGWBBkGIZhGIapEB577DF88pOfxMc+9jF0dHRoBLWrrroKe/fuxTe/+U28853vxEMPPYRNmzYBQE40lGUZH//4x7Fu3Tq8733vw/ve977c+nfddVfRxr1jxw78/ve/x5kzZ/Cv//qv+O1vf4tXX30Vg4OD+Mu//Ets3rwZALB8+XLccsstlrc7f/583HbbbRga0r9WyDogZVlGJpNBKpVCMBjEvn37AAD/+I//6LizcbFhQZBhGIZhACBpITI8x8l2xLPdrc6sm3ByDAjPL2BUjBs4fm8rjPZt22f8a2AYhmGYcnLjjTfi2LFjho9XVVXh85//PD7/+c8LjyWTSfzFX/wFDh48iCeeeMLyc1ZXV+Phhx/Gww8/bLjM7t27MW+ecVqnpqYGixYtwrZt23LzFi1aBI/Hg6qqKmzYsAE7d+60PKYsjY2NuPHGG/GTn/xEeGxsTLnpLUkSPB4PvF6vJhZ8ySWXoL293fZzlgoWBBmGYRgmFRWbhngCQCYxPc0dcZ1jtu/MxEKGYRiGYRhmRrBr1y586lOfQktLC5544gnU1NRYXvfWW28t2EV34YUX4sILL0QqlUI6nUYwGBSWMRME77777tzfJ0+etPSc1dXVkGUZDz30EH75y1/i1KlTGBsbw7x583DBBRfgtttuw7p16+y+lJLBgiDDMAzD6MWFI4uA8ePT0+wQdI6ZIMidhhmGYRiGYWY0mUwGX/7yl3HLLbfgE5/4BCRJKttYHnjgATzyyCN44IEHhMc2btyoK1R++9vf1kz/zd/8DVatWoUjR47kfb7bb78dhw8fxj333IMNGzagqqoKfX19ePzxx3Hdddfhl7/8Jd7ylrc4f0FFhAVBhmEYhkkOa6clHxBqI4IgC1eOSeWJDDMMwzAMwzBlp7OzU+ggnI8zZ87A6/XioYcesv18P//5z/GZz3zG8vJbt27Fb37zG9vPk+WSSy7BJZdcIsz/1Kc+pbu8FUHwgQcewLPPPpurpQgACxYswEc/+lEcOHAAv/rVr1gQZBiGYZiKJT6onQ40An5y95CbijjHNDLMgiDDMAzDMHOLSq13u3jxYnR3d5fs+d7//vfj/e9/f8merxhcc801+NrXvoavf/3rmD9fqYstyzJefvllPPTQQ/iXf/mXMo/QGI/dFZ5++mlcccUVWLlyJVasWKGxVu7evRuXXnopli5dirVr19oqIskwDMMwZYNGhgP1gI8IguwQdI5pZJhrCDIMwzAMwzDu8Zvf/AZtbW2G/9zkv/7rv7Bu3TrcdNNNOP/887F69WqsWbMGX/7yl/Gd73wHf/Inf+Lq87mJbYfgz372M9x///1Ys2YNjh8/jre85S1YtWoVrrjiCtx888340Y9+hOuvvx7PPfcc3vWud+Hw4cOu73CGYRiGcRVBEGwAfNXaeVxD0DlmYio7BBmGYRiGYeYEn/vc54r+HLfccgtuueUWV7Z1zTXX4NlnnwUA3HffffD7/cIykUgEn/vc50ry2tzGtiD47//+77m/ly9fjve///14+umncfr0aWzZsgXXX389AOCqq67C1VdfbTsTzjAMwzAlRxAE9SLDLFw5xqyTMO9XhmEYhmGYOUEkEin3EBxTXV2df6EZRsE1BPv6+nD++efjpZdewhVXXKF57JJLLsGePXt014vH44jH47np0VGODDEMwzBlgh2CxcVs33EUm2EYhmEYhmFKju0agmp27tyJRx55BB/60Idw9uxZtLa2ah5vaWnBwMCA7rr33nsv6urqcv8WL15cyFAYhmGYuUqs39yBZgW9GoLUIciCoHNMHYJ8Q5BhGIZhGIZhSo1jQfCXv/wl/viP/xg//vGPsWzZMqTTaciyrFkmnU5DkiTd9e+8806MjIzk/nV2djodCsMwDDNXOfR14NkbgWffCXQ/5Xw7epFh6hDkLsPO4cgwwzAMwzBzFKqTMIwbuPG5sh0ZTqfT+PSnP41nnnkGTzzxBDZs2AAAaGxsRH9/v2bZvr4+w4YiwWAQwWDQwZAZhmEYBsDkWeDUA8rf6Rjw5r8Cbdc525alyDALV47hyDDDMAzDMHOMbAOKyclJhMPhMo+GmW1MTk4CgG6jE6vYFgQ/85nP4NixY9i5c6emqOJFF12EF198EXfccUdu3gsvvIAPfOADjgfHMAzDMIZMnNROT55WhEFvyP62kjqCoJ8IgukokEkDHq/97c9l5Iy5C5AjwwzDMAzDzEK8Xi/q6+vR29sLQGmoYZSgZBiryLKMyclJ9Pb2or6+Hl6v82sTW4JgNBrFfffdhzNnzggdVj784Q/jq1/9Kp5++mlce+21ePTRR3H48GG8733vczw4hmEYhjEkMSzOi/UAVUvtbScVVYRENYF6wKtzJzc1DgTq7G1/rpOaBGASacgkgHQC8AZKNiSGYRiGYZhSkE1MZkVBhnGL+vp6w0SuVWwJgidOnEAmk8HWrVs181esWIGnnnoKDzzwAG6//XYMDg5i5cqV+N3vfoeqqqqCBsgwDMMwuiSHxXnRc/YFQRoXBpQagpLO3bbUGAuCdrHiAEyNAd6m4o+FYRiGYRimhEiShPnz56OlpQXJZLLcw2FmCX6/vyBnYBZbguDatWuRyWQMH7/hhhtw+PDhggfFMAzDMHnRE/Ki5+xvhwqLkg/wTd3MkryAnFYty41FbEPqB8qQIFHHYHIMCLIgyDAMwzDM7MTr9boi4DCMmzjuMswwDMMwZUVPEIx1299OfFA7HWgAJEn5x41FCoc4BCcyYcTkgOkyDMMwDMMwDMMUFxYEGYZhmJmJXg1BJw5BvQ7DWfw12sfMuuUy+hARdSIdxkSa1Gfk/cowDMMwDMMwJYUFQYZhGGZmohsZduAQNBMEfUQQNOuWy+hD9tlYJoKJTIQsM/Mdgu3btqN92/ZyD4NhGIZhmFmO2+cbfP4yd7FVQ5BhGIZhKga9piJOIsOmgiCNDLOTzTY0MpwOI+FJAZicnslRbIZhGIZhGIYpKSwIMgzDMDMT3RqCPYCcASQbBnhBEGyc/psjw4VDI8OZMHxySrsMOy8ZhmEYhmEYpqRwZJhhGIaZeWTS+jFTOQ3E+uxtSxAE66f/pg5B7jJsH93IMKkhOAsiwwzDMAzDMAwzk2BBkGEYhpl5JEeMH7MbG7YVGWYnm22SYlOR8TStIcj7lWEYhmEYhmFKCQuCDMMwzMxDr35gFrudhk0jw1xDsGBoDcFMGOO0qQgLrQzDMAzDMAxTUriGIMMwDDPz0KsfmMWuIJjkLsNFhYh945kw/BLXEGQYhmEYhmGYcsKCIMMwDDPzSAwbPxazIQimokA6pp1nVkOQHYL2IWLfeDqiIwhyDUGGYRiGYRiGKSUsCDIMwzAzD1OHoI0agnrbMesyzE42++h0GRYEQY4MMwzDMAzDMExJ4RqCDMMwzMzDTBC001SE1iKUfICvanqaHYKWad+2Xf8B4v4bT4cxLnQZZkHQDQzfA4ZhZgX8HWcYhlHg46E7sEOQYRiGmXmYRYaj5wBZBiTJwnZ06geq19NzCFrdNgOkE0AmoZk1kYnALye1y6XGATkDSHyfkmEYhmEYhmFKAZ95MwzDMDMPM4dgOmo9ghof1E6rG4oAokMQGWX7jDV03odxvS7DkIHURGnGxDAMwzAMwzAMC4IMwzDMDIRGfSlWOw3rOQTVUIcgwLFhO+g0C5lIhzGeDussy7FhhmEYhmEYhikVLAgyDMMwMw+zyDBgXRCkwiIVBL1VEGBB0DpU5POGkIIPMTkI4RSEG4swDMMwDMMwTMlgQZBhGIaZeZhFhgHrnYaFyHCjdtrjBbwk3ppkQdAyVOTz1U79IQH+Wu1jOm5ChmEYhmEYhmGKAwuCDMMwzMxClkWHYGSxdjrmNDJcLy4jdBpmJ5tlqEPQr9qXeg1bGIZhGIZhGIYpCSwIMgzDMDOL9CRAu9TWrtFOu1VDENCKWAA7BO1AXX9qV6CPCIIstDIMwzAMwzBMyWBBkGEYhplZ6MWFa8/XTluNDAuCYKO4DAtXzqH1FtX7kh2CDMMwDMMwDFM2WBBkGIZhZhY0LuwJADUrtPNiFgXBpAWHoBAZnpkOwfZt29G+bXtpn1RwCKoFQa4hWApK/p5boCyfRYYpAU4+21aW5+8LwzCVCB+bZj4sCDIMwzAzC+rq89cD4flkmUEgHTffTioKpGPaeXo1BNnJ5hy6r8wcgjNUaGUYhmEYhmGYmQgLggzDMMzMgjoEA/VAqE1cLtaTZzs60WPdyPDscAiWBRqvNqshyA5BhmEYhmEYhikZLAgyDMMwMwu9RiC+iBhBzddYJDmsnZZ8gK9KXI4dgs4xjQzzfmUYhmEYhmGYcsGCIMMwDDOzoEJetu4fdQnmEwT1hEVJEpdjh6BzTCPDRMDlZi0MwzAMwzAMUzJYEGQYhmFmFnqRYUCsIxjLIwjGB8l2dBqKAFzrrhBMI8NEaOXIMMMwDMMwDMOUDBYEGYZhmJmFnrMPEAXBaJ5Ow0bbobBD0DnUIWjaZZgdggzDMAzDMAxTKlgQZBiGYWYWel2GAfuRYaPoMUVwsrFwZQk5I4qnHBlmGIZhGIZhmIqABUGGYRhmZmEk5AmR4TwOQSEyrNNhGNBxCLJwZYnUBABZO0/tEKT7NZMA0omiD4thGIZhGIZhGBYEGYZhmJmGEPWtV/4XBMEexaVmdzsUWkMwHQMyqXyjZPSclGpXIHUIAlxHkGEYhmEYhmFKBAuCDMMwzMwhk5xynqnICnk0MiyngXi/8bac1hAEZl0dwfZt291fV3BSegBveHpSd7/ac1+2b9ue+1eJVOq4KDNlnAzDMAzDMIx7sCDIMAzDzBxoh2FgWsgLNACegPYxszqCgiBoEBmmDkFg1gmCRYG6/fw1gCRNT3t8gDdC1uE4NsMwDMMwDMOUAhYEGYZhmJkDFfEgAf66qT8lncYiJnUEkxYdgp4gIHnJuixc5UXoMKwTEeb6jAzDMAzDMAxTFlgQZBiGYWYO1CHorwUk1U9ZmAiCMQOHYCqq1AJUY1RDUJK03XEBdghagYp7dB8CokjINQQZhmEYhmEYpiSwIMgwDMPMHIw6DGcJkcYiRpFhwWkI48gwIMaG2SGYH73IMIX3K8MwDMMwDMOUBduCoCzL+PGPf4xLL71UM3/Tpk1YuHAh2tvb0d7ejne/+92uDZJhGIZhAORvBEI7DRtFhqmwKPkAX5Xx8wrRVnYI5kWIDOsIgoLzkgVBhmEYhmEYhikFPjsLP/bYY/jsZz+LyclJ+P1+zWNDQ0N4/vnnsWzZMlcHyDAMwzA5aGSYxnytRob1hEV1wwsKFbNYEMwPFff0aghyZJhhGIZhGIZhyoIth+D4+Di+8pWv4Ac/+IHw2ODgIOrr690aF8NUPrFeIMmiAMOUFCcOQVkWtxMfNN8OhR2C9qEOQboPAY4MMwzDMAzDMEyZsOUQfO973wsAePbZZzXzk8kkJicnUVdXZ3lb8Xgc8Xg8Nz06yq4AZgbRcTdw9hElYrjpXmDe5eUeEcPMDWjU11+vnaY1BNOTilONOtHyCYsUKmaxcJUfoYagnkOQI8MMwzAMwzAMUw5caSoyODgISZKwYsUKrF69Grfddhu6uw3qNk1x7733oq6uLvdv8eLFbgyFYYrP6BuKGAgAqQngyH3lHQ/DzCUEIa9eOx2aB4BEf/XqCOZrTkKpcIdg+7bt5R6CCN1Hel2G6bwZKrRW5P5nGIaxAB+/GIapFPh4VHpcEQRbW1uRSqVw4sQJvPTSS/B6vbj55psh68W0prjzzjsxMjKS+9fZ2enGUBim+Iy+qZ0eOwLImfKMhWGscvKnwNNvB174MDB2rNyjcU4+Z5/HDwTnaefpdRoWIsMmHYYBjrY6wVKXYa4hyDAMwzAMwzDlwBVBEACkqWLsTU1N+O53v4tDhw7hxIkThssHg0HU1tZq/jHMjCBG3EZyUhQpGKaSmDwLHP4GkBgExt4ADv5juUfkHNpUhEaGAbGxiJ4gmM9pSKlwh2BFInQZthIZ5v3KMAzDMAzDMKXANUFQjSzLyGQyCAQCxdg8w5QXPXFBbx5jn9QkcOjrwKufBLqfcm+7IweB1+8A9n5+br5Xo4e000O7Z6YTS87odBnWifrSxiJUxAfs1xBkh6B9aD1AS5HhGfi5ZBiGYRiGYZgZiCuC4LFjx/Dmm0qMMh6P4zOf+Qy2bt2KRYsWubF5hqks9MSFuSgyFYOj3wNOPQAMvALsudOdaGs6Buz6a6DvOeDc44ooONcQHKwyMPh6WYZSEKlxACSeryfkhZw4BO3WEGRB0JR0HMgktPN0I8PUITjBJRgYhmEYhmEYpgS41lTkne98JxYuXIi1a9cilUrhwQcfdGPTDFN56DUo0BMJGfv0v6SayAA9LrgEB3cD8b7p6eEOxYk4l6CuOgAYeLXkwygYvdehF/WlDkE9QTBJBUGbNQQ52mqOnoPSSg1ByLxvGYZhGIZhZgPxAeDEfwGnfqHcLGYqDp+Tla655hocPnw4N71lyxYcPXrUtUExTMUiZ9ghWCxkGYie1c5zw8U2tEucFz0H1KwofNszBb0alzNSECSvwxsGvEFxuXyR4XRM+afGbg3B5LjymZUk/eXnOimd6K9uZLhanJcc0683yDAMwzAMw8wMMing9b8CRg8q0yP7gY33lHdMjEBRaggyzKwlMSTG4AB91yBjj+SwKNIM7wPSOvvbDnqiIhUeZzvJYXHexAkg1l/yoRSElYYigBgZTgxqP0d6AmneyDAVszJAOmq+zlwmSVx+3jDg0bkH6Q0DkpesW0Fx7NE3gJ4dfFebYRiGYRjGDv0vTYuBAHD2MSCTLN94GF1YEGQYOxgJfxwZLhw9l2UmAYwccL7NdExpKGLluWYzRl2wB18r7TgKxWrdP+oQBLTfUbodyafvVFPj13mco63G0OYgeu5AQHFYUjdgpTQW6fod8OItwO6/Bl76n0AmXe4RMQzDMAzDzAzOPUZmZIBYn+6iTPlgQZBh7BAzEJLmmsBUDIxce3qRX6sMdQBySue55tj7pVd7DwAGdpZ0GAUjCIL1+sv5IqLIFDURBAMN+aO/3ipxHguCxtCmK3r1A7NQsXBqv7Zv2472bduFxfXmFYXTPwcgK3+PHwUG3YvZW30NJXutecZQjnFUwmtnCoPfQ8YSqQkg2lPuUTAuU6zv/2w+rrj52rK/3WXbX6lJoHeHOD/G3/VKgwVBhrGDkZCUGlNOaBjnTBoIgoXUETQSE42E3dmKkSA40xyCNPpsVvePxobV77ndDsMA4PEC3ggZTwVFWysNum/MagJSsbBSHIL0JsVcu5HAMAxTbPp3As/eBOy4CdjzOaU2L8MwM5/e58RSUAALghUIC4IMYwezC0KuI1gYRg7B4Q6lKK0TBg0EQSPxcTYiy8aR4ejZmbUv7Ah5VBBUf3fjg9a3o4bGitkhaAx1CBpFhvUeo+uWg0xKFCaNvkcMwzCMM479+/RvafcTwNCesg6HYRiXEOLCU8R6SzsOJi8sCDKMHcxEP3aPFIaRIGhUBzAf6YTSzUqPuVTzMT0JyCYFfF2MQRYd6nQ0E/JoHUH1d1dwGloUBAUnWwUIV5UKFdPMIsNCDcEK2K96rtrEoDiPYRiGcc7YEe200XkbwzAzh8Sw0lBEj7l0DTZDYEGQYexgdhCbazFUtzETVId229/eyH79jtDAVNfZOdI11CgunGVgBguCRl2GASDscmQYYIegHWxFhul+rQRBUMcNyA5BhmEY90hNiL+j48fLMxaGYdyj+ylANmjExpHhioMFQYaxA0eGi4MsGzsEAWd1BI3iwlnmiqMzn4gx8OrMqdljR8gTHIIuRIbZIWgdW01FKrDLMAuCDMMwxUVPGBg7VvpxMAzjLkZxYYAjwxUIC4IMY5XUhLlzZa4ITMUgMQRkTBx7Q3uAjMGdJsN1WBAEIIoYkp88PgBMnCjdeArBTtQ3RATBWC8gZ5S/2SFYfKioZ1ZDsBKFVr14MBWSGYZhGOfo3UifOD79W80wzMwj2mOe7GKHYMXBgiDDWCWfA5BrIjhHcAeSQ1N6Ehh7w/r2MklgaC+ZKWkn50rEm8Zsq5cBoVbtvIEZ0G04HQfSUe08sy7DNDIsp4B4v/K3WzUEKyHaWqkIkWEbgmAl7Fc9QZBrCDIMY4G1oePAm98F+l4s91AqGz1hIB3jxA3DzGTOPU5mkGu6xKBS552pGFgQZBir5HOU8QmMc6ggGFkAVC3VzssXAVYzckh0HDZcQJ5zrgiCOm64xi3aeTOhsYheXNNMEAw0AJ6Adl72O0qFnUCjtTFQh2CSHYKG2KohWImR4WH9eexcYRjGhJXB07h30beB4/8BvP5poO+Fcg+pcjFyCo0fLe04GIZxDxoXbn2ruEy8rzRjYSzBgiAz42jftr08T0wdgN6QdjrepzjTGPtQQTC8AGi8SDvPjiBIaw5WrwDq1pg/52xFcMPVA02XaOcNvl75Qocg0HhEgU6N5AFCxCUYPae4D9Ix7XwzYVENjb1yZNgY6vKbeq90j990v1ZqZBiZyhjbDMbp73fZfveZotG+bXvR3tdibjsfV1bvgQRVXd6zJrW0ZghF25dGN9K5sQjDmGL2nSzr7+X4cWDsTe28xe8BvBHtvAJjw+U8xs9GWBBkGKtQR1n9RrKAzIVSnaInCFJH39Bu66IVrR/YeJFYU27OOASHtdOBBqDpYu285CgwaiOSXQ4Ep2O9IvqZIXQa7jZwGlqNDFdgN9xKRM6IYqmpQ1BHECx3oxujeoEcG2YYxoRG34h2RvRMeQYyEzB0CLIgyDAzEhoXDjYr1xy0VBHXEawoWBBkGKtQAalmtc4dD44NO4LuWz2HYGoMGLMQI8mkxfqBjRcqMWSz55yt6EWGQy1AZIl2/kCFx4adNALRcwgKTVZ85k5DNRwZtoaec9JMEKQOQTkJZMpcX4Y6a7Nwp2GGYUxo8JIbRVxOxhgjUcDKuR7DMJWFLIuO6La3TyV2WBCsZFgQZBirULEvPF90IM0VkcltBIfgfEW0Ci/UzqdRYD1GDytNSNQ0XCiKQ/H+uVHUlgob/nrl/yZaR7DCG4voRZ/zEdZxheoJixJpOGOE0GWYHYK66MVqzURXPbGw3HUEjZyALAgyDGNCg48c/7icjD6ybHwTfeJk5ZcxYRhGy8gB0RG94Ebl/1CLdj4n6ioKFgQZxir0Lm+obe7GUN1Ezug4BKeEQOoSpFFgPahoWNUOBBtFcQjy3LhDZeSso4Lg0O7KvmjRiz7ng4rAepFhq3FhQKcbLjsEdaFinuQFvGHj5fXEwnKLrRwZZhjGAXXUIThXzjXskhw2doJnEsBkV0mHwzBMgdBmIpElQO1U/XbBQMPO6UqCBUGGsUImKXZE0nUI8gHONvFB8aQwK941XqidP7gr/11joX7g1Db8NaLwMBcEXL3aewDQSOoIpqPK3b1KxYmQp+cQpEKPHUGQfn7SMSCTsr7+XIE6BH015i5Mj1csv1DO5h3phOgyzsIOQYZhjMikUeudEOdPzpEmZnaI5hFJx4+VZhwMwxROJg2ce0I7b8GN0+d+QeoQ5JsklQQLggxjhVgvAFLkPtwmCg6xOSAwuQ2NC0t+INik/N1ABMHkiBIlMULOAEN7tPMaVC7DMKkjONvfr0wSSJGLk6wgGKhX6mCqqeQ6gkbRZzPo9zM9CUx2aufZEgRrxHnsEhSh7j6z+oG5ZWhjkTJGhs1EPxYEGYYxIjGk7TCchetLi+QTBLixCMPMHAZfFxMU82+Y/pvWEIxzZLiSYEGQYaxAT+a8EUUcECLDfNJnGyEuPH+6e2xkgRj7NKsjOHZEFGjULkO9JhOzGRqzBbQCGHUJVrIg6KipSAsA4kwbOWh/O1lol2GgvE62SkVwCFpo2kJFw3LuV7NYsFGUmGEYxujYQW98MvkFwTF2CDLMjIHGhWvPB6qWTk+HiSCYGJobddxnCCwIMowVBNGqTbFB08hwrJsLIduFFqClLj692LARVCyMLAZC81TTc6zTsCAISoC/bnqS1hEc3qfEYCsRoYZgff51PH4g2KydN066F9oRBD1BpSuxGnYIilB3nxWHIHVflrOGIDsEGYZxQnxAf/5sP9dwguCaJDfvODLMMDMCv5QEep7Szpx/o3aaOgQBdglWECwIMkWnfdv2oixb0u3Rk7msM5BGEjMJfVcWYwzdt1S0o41FBl9XutPpQcVCGjmea01gqHjhr512XwJTYqtqWk4CQx0lGZoZut9b4bXUW9sY/Y7Kae20HUFQknSircUTrtq3bXf9mOgmhuObEkk7ukaUabrP9FAt09E1UnSHoOl+nQGCIB2/k89Kxf7eMiWj0o8xlEof60e//7j+AwWcaxT7u12MfWppm1OJmtzvRP167eMTp2ZFjd5K/8y6hZ3P6VzZJ5WM2ftl5f1RL3Nx5CApTyQB89+uXcFXpfxTo+MS5s9GeWBBkGGsQKPAWZEh2Kx00NQsO8tFJrehURoq2lFRLzEITJ4WtyNndBqKEDFRr8nEbIbW3aPil68KqF+nnTews6hDcoScEV1nVoU8GhOn2BEEATH+yg5BEcEhaEUQpJHhctYQNIkFc5dhhmEMaPAaHLdm+7mGE6gY0HyZdlpO6Z/rMQxTUVxdQ9JZjRdOlewhUJdgvsZCTMlgQZBhrECbT2SjwpJHPMDN9kYVbiPEsYlDMLIICM7TztOrIzh+XBQRaNxYaALTo3TGmq1Yidk2ktjwYAXWEUyOQGjqYyUyDIixfkqg0d5YhGgrC4ICNO7rcxIZLuN+NXMBJkdm9zGDYRjHNPgMnM2z/VzDCVQQrFklnutxYxGG0aXKM4nLqjqA8RPlHUhyHFuqSG1uGhfOIlwvsyBYKbAgyDBWoA5BtYtNaFTBjUUsI2fyR4YlyVodQTovNF8Ug6ggiMzsrmFhpREHbSwycghIVpjIpSfQWBYE6XvucDtZaGMRFgRFaNzXZmRY2UaFdhkGpgRqhmEYLXVeo1IHs/xcwy5yBoiR/RFqBaqXa+dxYxGGEUlN4NtLvoY75/8H8Pz7gd7nyzeWnmfgl1TRfskHtF2nvywLghULC4IMkw9ZFosfq0WGuRZDdZN4v1K3Tg11CAJibHhwl1hHkLoGqYgIKA01vGHtvNn8flmpu9ewCZD8qhk60etyQ52OvmqlYYgVaASdUmhkmLsMi1CHoBVBsJKaiuTrJMyxYYZhdGgwFAQxu8817BLvB0Aa8IXagOoV2nncWIRhRLqfRrNveGoiA5z6afnGQrsLN19u3EiOxojpTQGmbLAgyDD5SAwpzULUqJ1n1IXGJ33WofvKE9CPcFJxL96r7U4sy8DQbrIOqR8ITHWGnkMCbr4aggDgDQING7XzBiosNuykw3AWs8iw5BMFvnwINQRZEBSg7j4q9ukh1BCs0C7DQH7BkGGYOYlhZBiY3ecadqFJGsmv/K7XUEGQI8MMIxDt0k6PHS3POOKD4vXCAoO4MCAm6oRO40y5YEGQYfJBT+Ikr9JMJAt1IPEBzjq0oUh4viLaUaraRaFQHRGeOCm6dvQcgoBOp+Gz+svNBoTIcL3+ck2XaKcrThC0EH02wiwyHGjQ/7yZIURbOTIsIESGLdQQpFHsShYEqdDOMAwDs8gwWBBUQ6OC4ValJjd1CE6cBtLkhjzDzHVifdrpxGB5zkW7fw+N09cbBua9xXh5wSHIkeFKgQVBhskHFfhCUycuWYRGFSwIWkYQBBfqLydJQMMF2nnqiDCtHxhsMd7WXHIIUmedXmQYEBuLjB+tLBcUFWCMXocevipjh5rduDDADsF8yLLDGoJENEyVqYagLIs3FzwB7XQlfTcYhqkMMmnUeieMH5/NNx/tondeDYg1BJEBJk6VZEgMM2OI94vzyvE9oXHhlmsAX1h3UQBiDcHkCJCOuz4sxj4sCDJMPqhgRC3PVGBKjgKpyeKOabYwqeMQNIJGgNURYVrzrvFCY+cXrVE4qwVBi866urVibUW9Ts7lohCHIGAcG3YkCFZQN9xKJBMX64JaiQwL+3UCEq0xVQrSUeU1qKlapp3mGoIMw1ASQ5AgGz/ON4unoc6grFDgi4jn2FxHkGG0xPvEeSUWBFt9/cDwPu1Ms7gwIAqCALsEKwQWBGco7du2l3sIcwcqGFHRSvcAxyd+lojRfavTUCQLjQBHzyp1aGRZdAgaxYUBURyiY5gtyBmd2nsGApjHp+PArKDYsNXosxFGjUWcCIIWo63t27YXdJwu5zHeytgNH9fbH/6a/NvUcRFWeWKmYzAbk95zWdmnl9z9oDiT1rUqY2SYf/uNMdo3hX4Xy0Eljnc27V87ZF+b2esHkP9GQQkcgsV8L5xs23B5QRBUnZcJjUUqr47gbP68FwOr+8vOZ2xOvwd6zTgmTpqukt23he637DauqiHXXf46oGmr+cq+iJiysdhYpJDxz+nPikVYEGSYfOQTBL1Bsb7dbHaduYkQGTYRBKuXi7HCwV3AZJd4t0yvoYjRc0S7FfFstpEah9DFz0xIq+Q6glajz0awQ7B06EWonTgEAVR7S++0rqc1wDwBsfwAR4YZhqHEB8wfn63nGk6I0hqCqt9oobEIOwQZJkc6oURtKXkEQbe5qoY0cmx7m2IuyAc10bBDsCJgQZBh8iHUOtERF+g8FgTzI2fETnNmgqDkARqI82/wdTEuHGgEIkuMt0MFXTmlX49jpkNFNCCPIEjqCE52iu9PuSg0Mqz3nXWyHUB0CLIgqIU6BL0RwOPNv543pHR9VlHlibo4MGvU+8j7GWgQPyccGWYYhpIggiC9UTxbzzWcYFRDEBDrCLIgyDDTGB1DShgZ9iGFpQFynTv/7dZWZkGwImFBkGHyQU9c9OrcUQdSpQgplUysTzlBVmNWQxAQo8BDu8Rad40XmXeODTSKTQJm4/tFRTRvSPlnRM0qHQfma+6PywlWo89GGH2u3HAIJseV2DqjkCTNQKw0FAGU7yz5/FV7Su8QrPNSQbARCJILez2xnWGYuQ11DtesnBvnGnZJJ8SbKhpBkDgEJ88AaXvlIxhm1mIkCE52lsyB3OjTcSjWrLS2MguCFQkLggxjRmpSvMDVFQRpp2F2COaFxoW9ofwCDY0CT3YCfc+TZUzqBwKK8CA4Omdh9z8hZptn30oeoPFi7bxKiA3LslizzW4NQVcFQeIQREZpRMEoCB2Ga/WX04Ps2ypv6ferKAg2iE4fdggyDEOhDsFgM6dH9Ijr1AzT1BBcBkB9U1cGxk8WeVAVwOBuoPd5IJMu90iYSkavoQgAZBIlO740E0EwLgeslYYBgFCLdpoFwYrAtiAoyzJ+/OMf49JLL9XM3717Ny699FIsXboUa9euxRNPPOHaIBmmbOg1B9FrIkKbFvBJX3706geaOfsAxcVGBRkq2JrVD8w91xx4v5zEbPUEwXK739JR5URHjWuR4Ub9+WbQyDDAsWE1tIag1ZNEQBAPa8riECTjDzSIAnRqXHG5MAzDZKE1BANNOucas/Dmo12IABDNBLW/q94QECF1W2d7bPjo94Gdfw7s+ktg11+VezRMJWPWhKNEseEm37BmeiBVl//6LYvgELTWVIQpLrYEwcceewwbN27EF7/4RQwPD+fmj42N4eabb8aXvvQlnDp1Cvfddx/+x//4H+juZms8M8OhQlGgUWkiQuHIsH3oibFRJ1g1kgdo2Gz8uL8OqGrPvx1aq3A2OjqduOpoY5F4r+LCLCe6tRBtCoLBRkDy62yn3v54BIcgDDsNz0mcRoZ1li1HDUHdyLCecFzGTsMMMydJTWKeb6j8N6mMoM7hYCOnR/Qg58d9KZ3f86o5VEdQzgAnfjI93f/i3HBEMs4wcggCJWss0kwEwf5UvfWV6Q16PeMNU3JsCYLj4+P4yle+gh/84Aea+T/72c+wZcsWXH/99QCAq666CldffTV+/vOfuzdShikHVBA0chrRk754P5BJ6S/LKNB9GzFpKKKGNhZR03ihIhrmY046BOvzr1O1VIk5qSl3bJi+DskPeMP2tiF59DsNO4kMSx6lUYYadghOQ8VROw5BsmzFRIb9tRBOl+jnkmGY4jG8H3juj/GD9i8Cr3+mMrv16joEyXnNbDzXsAtxCOqKCbTT8NgsFgQnu4A0ccNPni7PWJjKx6wxUYkEQV2HoFVoZDg5yjVCKwBbguB73/te3HzzzcL8l156CVdccYVm3iWXXII9e/YUNDiGKTtCF1yLgiAylWeDlmXr/0qBE4cgYB4JNhML1cyFGI+TyLAkAY2k2zDt4lxq9F6H1WiCGvqeSz59t58VqOuNHYLT0MiwnRqCZL+WIzJcrycISh5RUKcNBBiGKR7H/mP6t6D/RaD/pfKORw/BIdjENQT1iFlwCNLGIuPHizigMqPnfuS6aowRMTOHYGkiw4U5BFvEeZV2vTwH8bmxkbNnz+Laa6/VzGtpacErr7xiuE48Hkc8Hs9Nj46OGi7LMGWDxjuMmhP4ahTXkPouX6zbuuutmAzuAg79EzB2xPo6tWuB9Z8Has8r3rioCEdrxhhRe764r7NYqR8I6DsEZdmZ0FSpCE1F6q2tV78BOPff09PlFksLbSiShV6YORUWgSkhUXXCzg7BaYSmIs5rCFaEQzDbYTjQoL3gZ4cgw5QOev4ydhSYd4X+suUgkxZ/c/VKzMzGcw27kBvtumJCNYkMx84pTf58EXHZmY6e2Bmdg4Jg34v41yX3QoIM9DcDzVvLPaLKxCwyXKKoOW0qMmBHEPRFlGtm9c3jaDdQtcSdwTGOcKXLcDqdhkxcRel0GpLJD969996Lurq63L/Fixe7MRSG0aV923ZnywiRYQNBUJJ06ghWwJ3gTBro+D/2xEAAGD0I7P+H4owJUMYluC8tOgQ9XqBhkzjfV2O97T2N8WQSRb3At/L5c7KsKcLFibV47Pv+3wl0dKl+7MtdD9NJ9FkP+v20sD8M3wsqclFX3CzF0meT1hAsJDKsqiHo1vfCdDuyrB8ZBnQ6DZdOEHTtmFAErI6tfdv2oryOQrdZyfvWCbPt9QAA5Az2HH1DO6/S6k4lhgCQdEWwSTxnzMQr5mZC2T4rsR7NOUZ/sl5cpqodwiXq+PHZ+fnWi0OX+PPt5Pjs6nuRmsCLv/4EFgd6sCjQC+z7IpBJFvc5ZypmbrrEAJCacOVp1Puafj5oZFgt6lt6j2hjEb3O4wXAnxP7uOIQbGxsRH+/NtPe19eHtjaDeCWAO++8E3fccUduenR0lEVBpvKwI1qF2rR3+ipBEBx7w3kR69HDyl3KsE5X5UKJ9wIgNYCoSGdGw4ViZKjhAmv1AwGlTp7kBeT09LzouWk3kMt4kQaO3KeMOU9tyW8uPgO88FNFiFj2EaD5EtPlDXEopAnxnXi/cmLm0WnKUQqcRJ/1qD1fO00jSXYQOl3PDUHQEtQtWUBkuLrUTUVS4/BKae28nCBIPnc0HsgwTHGI98NDxbZy36iikONBBtL0b24JzzVmBFZqCHoDQNVibQRy/DgAb1GHVhY4Mgz0Po9qdYmQeC8wfgKoXV2+MVUiqUn9dJSaIseGPUijwae98WurhiCgxIbHj05Pz7XPewXiikPwoosuwosvvqiZ98ILL+Cyyy4zXCcYDKK2tlbzj2EqikxKLN5qVEMQ0OkmVwEnrIMF1n8bfN2dcVCoWOoNKx2CraIXDW60WD8QUIRDobZP8aKxf9rwNHDsfmDkgCLSmvxbHjyj/D3wMrDrL0XHlVWEqK01Ia1fqOcjm9csKTZOo8+UeVcCLVcrf4fmA8tvdT4m6nrjyPA0QpdhG3UaiXhY7S1xDUE9546hIFgZLh+GmfXoiX+VcH6lhpwrjqarlfMMySO6YeZyp+HUhPB7qVtDENCpIzgLG4tkUvoCzlwTSHqeEueNHi79OCodvYYitBFgkWPDDd4x4QaNrRqCgHgtPdc+7xWIKw7BD3/4w/jqV7+Kp59+Gtdeey0effRRHD58GO973/vc2DzDlIeYnostj0NQTSU4BKkgOP8GYMVtxssf+mdFiMoytAtY+E73xzV5RjsdXmCvpk7dGrGOYOPF9sYQng9EVeMo4vv11hqHnXozCWBoD9Bylb310nEgTdxVFgXB8UwY0Qype1TOepgOo88Ckge44OtKvNcbLszxSEWuGSQIrgsdw8VVB4G+eqD5cvdrWRXSVIQIrRFPiTvPUZHPGwG8IeVv6uhhQZBhSoOe+FfhDsHhtOpYFl6gveE4OQubmFlF58JfvAk5RfUKoOfp6emxYwBmmWNs8jQg66RGYr1KJ22rqZeZTGoS6HtenD96CMC7Sj6ciobUD5zMhICa87RC4cRJAEuLNoRm/7B2huTHaLrK3kboTZK5WDOzwnBFEFy0aBEeeOAB3H777RgcHMTKlSvxu9/9DlVVNj8gDFNJ0Lu43oh5PSy9RhXlRM4AQ7u18+ZdCVQvM16n+TKtIFiow9AIoVmLTbHJ4wdWfRw4/A1luu1tQN355utQ6HMWy3EQH1RqosCmpT6LkwsfKqIBNmrvSVN37FWCYjkvvhw6HXWRJHsClRH0OJCcGYLgquApfGXRd5Si3a+/Blz4DftiswkSMmL9Gjs1BHW7DJeo6zkgxoDVnzWODDNMedD7/UmNKccaX4VcZ5Cu40MptSBYgemRckHfS389ErLBzTnaWGQ2dho2ek1yCogPAKF5pR1POeh/Ubn5TWGHoAipHziQqgOq24H+F6ZnTpxCMQVBWj8QoXmQ7QZOg6TTMDsEy44jQfCaa67B4cPaL+oNN9wgzGOYGY1QP7DN3E2jd9JXzm5yY0dFt06+Lrw0djt5Goj1A6Fm/eWdQu+QW20ooqb9Q0qXwcQIUL/e/vpCE5gi3bUfIqKqNwKs3Wa4+KGj38RGqC4unIxLcC95xLp3JgiCYDkvYNxqKuImdF/OkKYiV9XsVsTALKcfclUQ1K35Z6vLsHZZr5RGUBILixcNs3qVHBlmmPJg9PsT6xFFo3JBonxah2CF3SwuJ/TCnzqF1NSQyHC8F1WeEpeRKDZ6DUWyxHrmhiDYrRMXBoDRN5UGhJ5ZWDfSKaR8z2CqDqgi4t/ESQDunddRmgVB0EGd+SI3FWHs44pDkGFmJUKHYZP6gXqPZzvXlqt4NHX3hRcqhVzNqD1PueOudvkM7QLmv93dsVGRy65DMEvVUsCpQYB2/yvWSTp9Hxo2m8awD0Z/C2gEQQfj0hPRbERP+pINAFTvUUUJggU4BN1ihkaGW/0D2hlDu5UaRh53TgWqvDqCoC2HoOjerC7lBWCcOgQb9f8G2CHIMKXCyKEe7a4cQZBGhtUOQeFcgyPDOczqckcWA5JPE6ldEphl7kqzuoixHgAObnbPJNIx/bgwoHTknjgpCsNzGXLjYTBdN9WRW8Vkp5LWKBJN3hHtjHzXlXrQZpXJUSAVBXxh5wNjCmIOFCdgGIdQISafiy00T+kmp6acQgp1puVzBwKKaFS/WTuvGLFhtwTBQqA18aLnFEen29DGLHman/QkifDgRBAUYrb1tlbvowWCyxUZzqREsa0SHYIzpMtwq4+IWOlJYOSga9un4l1a9k7X4LOCjos14i1hHUE7DsF0TDmBdUijd8R5wyCGmUsYOgQrSBwiguBQWnVzo1TnGjMBei5h5i7y+IGqJZpZc08QnOX0vyTWu1bDsWEtpIbgQKpWFAQzCczzFS/BINQQdMMhCMyNz3sFw4IgwxhBTzbzOQT1usmVKxoiy6KQZ7ULLxUOqbBYKJmUUAejLIIgvWufnnQ/+pkYFk/4Gszfh94UEQSddCQs0FUndP0r14WXXi1Ep12G3WSGdhlu8eu42gZfc237VSQyPJaJ2CuZIHmEmmA1pXQI2hEE9Za3ysGv4UfL/g/wzDuA7iedbYNh5gpGvz+V1FgkrnVfD6dVNzdKca4xUxAiw3nOq0mn4aXBWRS3TieAiU7jxyvp810sup82f5wFQS1xnchwoEG4marULS8OTT7iEKT1AK3gDYmJEHpdyJQUFgTLQPu27eUeQo72bdsrajwVhV2HIKDTadjaD7rr78PECdEllkeIykGFw/Hj7tbL0uveXIIOtsI+DrVAOAS63f2PNnXxhpQOySZkxbiOrqkf3cSQ4kbSwfAzQ4U0myKaIAhGu8vjaBA+dxLgt9+cxfVjHI0MzwSHYHJMEOwAAAMOO2DrUE0iw5MZ6+7A3HtExNZqr74gaOeYafn9pzFgdbkHX7USX9Ms7+C4ONEJnP6F8ncmrnR2V3233Pgt0NtGdtqt7bsNn4fMLuy8n6bLpibRccJANIl1F/x5du1zRwXBVG1u+yvueQ3qc42OrpG8N4uLdW7uxjYL2gYRBD/y05PmyxNB0I5DsOKPKROnIJwLq6kgB2xR9mU6AfTu0MwSzj1HD7n6lBX/mchHrHf62gBTTUUkSVNHsKNrBIsC5m47vf1gtG/ofLGpiLEgaLq/pww0HV0j6OgawW3ff8R4WTvbtbCum+dDswUWBBlGD1kWf4ytCIK0HooTd5cb0JhqqM266FZ7PuAldRwGd+sv6wQaF87XvblYeHxiwWa33y+63+o3KjEYE3qTOk4ku07TAjvz9tExlMvRQF+Hv6YyCkzTz2smDmRK2PzCCUafoeG9QDruylPQyPB4OmJ/I+SucURPxCwWZg5BSdKpI+hAEBw7op2O983O7pkM4wZmokiFOKg8SANJrWtG7RBMwyuea8zFOoI659WCAEQhNSJnVWTYLC4MzP4I5cAryrnlFDIkPDB4g3aZ0TcAuXj18GYUsqxfQxAQYsOL/EVy28kZNAs1BB1EhnXWE4RGpqSwIMgweiSGlKYgavJFG4DK6SbnNC4MKEJZ/Sayvdf1l3UCPRGOLCxfJ2YaVXb7/aL7zYJLMy4HRUef3XEVGBkeTNUBIO9JOS6+KrGhCKDfsbnSY8NGF6CZBDDc4cpTUAfieMZBgWiybysmMqw37aSxyGSXOG9gp/3tMMxcwOx3p0IcVHXecQBaB72mhiBQOeeG5SQ5LJxX9+cTBGtWaibrvWP6pURmIvRGkCegnZ7tgiDpLnwwugyvTqzVLpOOApMmseq5RGpM+P4o5+oQOg0XLTKcGIZXSmvnOWkqorOe0L2YKSksCDKMHvREU9K5w6uH0E2uDCessqzTyMJCQxHN8kS4crOOIBUm6D4rJcU8SU+OAWNvaudZFWYLFSr1ugzbIAUfEGzWzizHxRc98a8UQdCv42hNzlBBEHAtNky7DE84EQSJQ1C3c3ExkDM6nzfiCBQEQQcOwegZcZ6LsW2GmVWY/e7EeoraTdMqDT6tez4DCaNpbS3Uot98nAlEqcDlUZoimBFZJApls8VRTR2C9Dw9PlD5yQOH+JAS4sIvjm/CcLpWFNNH3I0Nz1hifcKsoWw3c+IQXFgsQVAQqT1AsMnZtojJhgXB8sKCIMPoQU/WQq1Kwft8VEJkePK06FxpuMDeNqhwNXbUvY6YgkOwDA1FsgiCoIsxnqE90LgGPAGgbr21dennyLYgOKyddiKkCWMogyAoRIbrSz8GPTwBQCLR70ovEm/22XapsQh1802kXRAESxUZTo5CqOdEvzdBFyLDkzqC4NDrQCYtzmeYuY7Z746cRqO3/J26673aY/9ouhoyvbwS6kvPQUGQignBZmSQpwSI5BG7qI4ddXVYZYMKgs2XkQVkXRFoNrAxckQ4Z3pxXEkmHYst0i7MjUUUSEORkXS1cvMeAKrbNY81eEeB1IT7Y6CNP0LzrF0b60Eiw/NYECwrLAgyjB70JNRKXBgQBabkKJAqYeQNEOPCwWYgstjeNmrXkruy8pTA5QJCs5YyCoKCo9PFk3T6PtStB7wB/WUpgpvAplBJhQonQhr9zJfFIVihkWFJ0mksUuEOQbOGOcP7EZL0G9fYgbr5xjIOagiSyHB1qQRBvfgvdda6ERnWcwimJoCxN+xvi2FmO3l+d+b5XWx45hAqCA7pud7YISgKgvSmoxGksciscAimY+LNoYbNYv3uConFu80V1Xu0M+o3YiBdDwA4GifXKywIKhAxLhcXBoDwIgiSzsSpIoyBdgl3WD8Q0IkMl/9YPpdhQZBh9KDOPqsnLnrCYal/0KkQ1XCh/Rp93oDSAEOzXZfqCNKToHIKgsU8SS8ktk2FZTufITkjujltRoYBOO6Y7SqVGhkGxMYilV5D0NStnMH6cJ4C5xagbj43HIJGXYZdh4rPvhqxAVChkWE5Yyzuc2yYYUTy/O7Mq4CLSBoZVjcUySH8ps9FQZDeaLcoJpDGIrNCEBw/AW3dSUl5nXSfzMY6gpk0Lq3ap53Xel3uz2NxHYegrK3ROScRGoqozpW8AfEYM37S/TEIDkGH9QMB4bMe8cRKb6BhcrAgyDB6CC42i3XuvEHxorGUQoob9QNz65HYMBUanZBJCrb38gqCRPRKjbljs09Ninc17TR2KSTKnBwBLXDuSmS4IhyC9aUfgxG0sUglR4ZlWae7d0gzuSlCut86QIgMO6ohqBVaSxYZjhO3n953ptAuw7EeQDaIBnNjEYYRyecQrABBsJ7ElofTOjVmddMjRYj0VTJC8saiIFhDHYJHZ75AREXNyELlN5nukwrppO0qg6+jht7oa31r7k9BEEyN6zvr5xrk2mlA7RAExGj9ZBEcgnEiCAYLEQR11p2NAvgMgQVBhtFDqCFo0SEIFDeGmo/oWfGAbUeI0qxHhMTRNwqPRcZ6IIhVVsXWYqD3vrrxfg3tgboeWVr2AvUbrK9PP0PxfiCd0F+WoidS+OvEeXnHUAkOQReiz8ViJkWG9YTu1us1kxvDhQuC7kSGtRfT1aVqKmIlnk7nURExH3r1A7MM7bH+HWeYuYCcERwpXQntRWRlRIa1x37dyHCxzjVmEkLc0GFkODnqrFxDJUHrB1ZNuSDngkOwR9tdGLVrNbXE+1P14m8tx4aFepKDgiCo7TRc8ZFhb0i8NpmNn/cZAguCFUT7tu1F2Z7V7bZv216UZa1sy63t2N2W4fKqu9IdXSP2RKsSOquE8VN3YKAR7V864GzjdetJ44QMMLzX2bay0Dpmvhq0//1zAOx/DoyWt7Udb0DspmuzXp/u8xE35ZvxJYIjyxS9z5vVzxGN2fqqrNcu1IyBfI7j/UAmZX87BFvvjxAZri/4+V3DhkMwe2xy+xhvhfZt23Hdl36qmZeBBCy8STNvWfAMkBgp6LnsRob19sv7fqCNElV7yhMZ/t4rw+L7pRcZtuNUmXI5dHRp93NH1wg6TvcCI/utb0tFMT9X5frMqs9fyjEGpxTzHKqQ/VDKfejac8UHAFn7m3Mwpo2PZh2CVp5TvYzTMeqtV+8dU77DU9/rrENQs+zUuYbmux89J4xpJn3WbRPr0ewnhLViguFrD88Xz5/GCi9x4QTX3iM6/qwLUrh+qCyBpJDX375tuyLy9zyjfaDtOrKkBNSen5vq6BrhTsNAfocgaSxSjMjw4693aGfYiAzr/a7/5jBJTNBIMlMyWBBkGEpqUqzBZkcQLGc3OaF+4AUAbNYPzOINAvWkK26hdQSp2FZOd6DRGNxwwg1p34d90ZX21vdXi3FLq+Nyq+6ecPc+I8a9i4ksi12GuYagI1p8WjfFYKpuqoA5ucgq5Psty0IDkHEHDkG6Tskiw8RxMpLSqQNGI8Ny0l7sz8whCLjW7ZlhZgVUDJF8OBJboplVCZ0pG3w0Mqxz7AB0zjXmkENQx+1p2V0keaYddFmow26mQSPDWRek0MytsgTBghnaI7o7W68Vl1MJggDYIQjoOASJE1mIDJ+GpEoqFY6MZnq8LcQhiCk3qJpZ2kRnJsCCIMNQ9A5Idg565TzpI0KU4/qBufVdriMoCIJlrB+YRYh42+zoS0lFgRGtK/NgdLnBwsb0Jon4YLUIuVsxW3+tKBiVMjacGhPrrVWSIChEhiu3hmCLX3sC3pNsVBpmNFygXbCQOnbpGLyS9v1yUkOQCoJhTxzIGNTdcxPyvRnRu6jX+/zZqSM42UVmkFMwriPIMNPoNKHoTWl/FyuhMyXtMjysFxkGyltOptzE+wEqTtgpxTObGoukJsXzuWqjyPAsE0i6n9RO16wGqhaLy9Wu0U7P9cYickanqUieyHAm4WqN1RrPJPwSSQkV0lQEeoKgE4fgHP5cuAgLggxDIaLHSLq6sLhnqX7Qo92imOW0fmCWBiIojhwsrAuU0KylAgRBtwXc4X1EyPLgYHSZ7c30pmhzGotCpVuuOkkq791q6nQEKiwyPHMcgm3+Ac10b6pJ+aNxi3bBwQI63epEpsfT9h2CujHjUuxbK4KgLyz+FtgRBGlh9HmXa6eH9yEoxa1vj2FmM/QGVLgNfUnt71mNd7K835lMSmiQMKTXVAQorFnYTIe8l0nZZ+/3XBAEZ7BDUBAzPdPuLioIJkeVm8yzAAkZoOdp7cy26/UXpg7B5MjsE0ftkBgCFdSFyHCgUSkRpGJRwL0ILnUHypDEkks26aevwcY1hoQMPt3yM/x0+eeB3X/HNZgLhAVBhqEQQUgQZvIhCIJ9rtReywt17/lrxZMou9RvACSvakYGGO4wXDwvlegQpGMoVBCkLs26NYjJNgTlKQSHoNVxWWmOYBVBECzhCRkVBL0he8J8saE1BCvZIUjuEvdkP1tNRBCcOOW8hovO65/I2H+/dGPGtIRDMaCRYaPYn5/WEbRR3J5GhhfcpD2+ymmsC89g5wvDuIngEGxDH3WUoMyx4cQQJOJQ0e0yDMztyDC50B9I1StRYKvUkLIr48dmrmOMCoJVi6frPOulkWZJbPj80EnB5SbWD5wiPF+5hlEzl2PDMVquxyOeo0gSENG6BN0UBJvIcXYkXQ14fAVts49eX9v4rL+j7kVcX/uKUme65yng+A8LGstcp7B3kmFmI+Qkjd6Rzote7bVYr6aLVlGg9b8aLrB3wqWHLwzUrVVcb7nn2QU0X+pse1QQjCwAUGYhRRBwCzxJp8Ksw9h2T8qpIDisnS7EVUcLXJcyMkydjlSIKTf+meMQbCWR4VzsrvY8xemodvcNOKxjRx2CvirIDu45JmQfUrJXO9OkYYtrECHd8KI+0KA9Rlh1CKYmxM907Wqgbh3Q+YfcrI3hI9g1SeJSzNxGzgDH/gP/tOjnwAs/NV30m4vP6C5jNv9sch4wukr5PFYSOg7BuBxUOlMmp5tzzPMPoStZWC0rx5AbAhlIGE1X6S9Lbz4Weq4xkyDirhAVzAe9uZ2aUGoaFxhZLAtjR7XT6i7KvrAihKlvgsV6xIYRM5DLq0lTwurlYsw1izTVWERdRmP0MIAl+svPduJE2As2659fVbcDeCk3udDvpiCobYamd3PGLgNCZNi6IHh1DbnmPfcYsPL/Uz47jG1YEGQYCjlxEe5g5MNfC3jDQFpl8491F18QHNqtnS60fmCWhgu1giB1wFklnRCbUoTmo+IEwcSQEtHw2a9/hnRC7BTacCEA+91bBSHaqUPQaQ1BoLz1bASnY33pntsKQpfhShUEZczzDQKYdut1J6ciw5JHOU70Pju9+OBrABwcO6iLj0aqLSOJLsFiuy8zKWH8hg7BIBHqrQqCxB0oQ1KOf01bAEwLghsiR4ABMMw0px4Ajt6H80IjwJj55215cAQYE49FZvOXB88Au/4aeMuDSjOxSkHHIZj7Xy0IlrOOYFz7ZR1NVxvfCKE32BJDCEpzJOZGLvRtiwmhVsAbgeZcauzozBQEjRqKZAm1EUFwNkRlZVxBBUGjuHAWKgiOzGVBkDgrQ/P0lyONRRYF3HOXUie2IOY5QLgxkJpAWIohmidVVecdUxynaiY7gYmTQLX9Ek0MR4YZRoQ6BKlTKx+SVJzOtWbE+oHJ09p5DQXWD8xChcXhA0DaQc0evZOaYoukVtArbO30BGxkP5BRn+B7lG6uDqDF0xHrtRY9d1NIEzpml1MQZIegE2o9E0pjDhW9arGZxoYHdsJRkWYq2tG4jw2EZiTFdgjq1Ks0FATp59BqZJjUDxxM1SoxMVLHcWWwS4nAMAygxCJPP1j854mdA/pfyr9cKaG/N9nfIyKsFSII1nrGgaP3Ayf+y9l5Dfn+Dxk1FAHEpiIos5hZSgRB0ObvuSQBNUQ4m6mNRWj9Q+p+FG7EzvzI8KrgabFDbatBXDiL0Gn4EOZsAwkaGQ4aCYJax+VCP40aO4dGhoUahg7Qcwo3+4eFeZQtVQeFUg0AgN4dBY9prsKCIMNQaA1Bu5FhQKf2WpGjIdS156t2L/7TsAmaQ4Wc1DoGrULjwv5aoQBuWfCFxYt8p7V9aGy7drXYjdYiQg3BbPQ8H0JkuAAhjToayllDsNIdgsnxiqxpRDsMZyBpT8KoIBjrFpqQWEIQBJ06BHWakRS7hqDg8jOJ/QmCoDOH4LnkVDHu+o1Kgf3cM8tYHyaRMmbuMn5cvNlXLLqfKs3zWCEdEyP2YZVDUMU8v0NRTc7gK4v+FTh6H/DGvwAdf29/G8QhOGx0IwEAfGHhuEKPz7OWKBEEnZxXV82CxiLJMTEpQ4XOcpZqKRLUHXgm2ZK/xjkVBBODaPSWoJ5wJSKkq6w5BBt9IwhJMVeGQAXdfruivg5J2S8cE63cJNlaZXAN2vtcwWOaq7AgyBSF9m3bbS+fXUf9d8nJpARrtvpOpuVxGfygO3ldlvaHUD9wc+H1A7P4qsQfZiex4TI2FMm7/0Lz0dGliqI4FgTJfmm40PFneSwTmYrIqMgnLMuye12GAVHYTo0rwtcUbnxPDbehE302WlY93+z74tZxpX3b9pwgOP25yWjLBJQQs9dFLzj7U/XIQFWjr2qZ0p1Oxabwm/YHkdKeqH//Jed3psepQzBpz31p+30WPmt1xrG/QKPmWPGfO/ZYez7iEOzJxra9ARyMai+MNkaOlO83cAo7v8NujtXt1023l31d9JjhZD2z5a0+nvf19hCRLtgCbLgH2HAPbn39j3Dr63+Um8aGe/CNng9rpvXm59Zb/B7ttvues9Sp0el7ZGu9WI/2NxmYdk7lcQhafp7RN7EkoPpN7XkGSNl05wqCoLkzmtYG1rv4NR6/DIwcxpbIfo2b0cpnz8l5tavfxUJrCAKicDamLwg6/S6WBOpqlHxAZLF2nsoh2NE1IjgE6fuZ770tyffVDFnGFTV7NLNeGN+Uv9ZbZJFwDrwi2OnOmArEzr6xet5qilWHYGSxUo5EhVuNRew6BK2+PnosoMIjXTcoJXBB5A3dbe3d/zwQHzR8Tlv7fI7BNQQZRk2sF7S1u+jUsgCNhhS7m5yOEOUqjRcCowdVz/e68bJG0H1QCR2GswgR77P6y5mRSYodmBsvAuA0SiopFz7qE8h8n6N0lESWUWBk2KDjnUPXoy0qPjKssw+SY4BPp0tuGWn1kYYiWSEqiyQpLsHjJ3KzNkaO4PHRy+09ERHtBJefDSbSVBAcBdCku6wr0NgvrROohnwO630W48zEIdidmn49HdGV2BSZFmE3ho9Y2yYz++l+Ujvddj2w8J0AgGfHphzJU9O5eappvfm59VZcAvmlH05Hr1ITSsmAlivdfQ1OIK6o8Uxk+thKHYJOuwwLDjNZqUFVt9b6NoTIsLkzui/ZgFUqUaPVhhv75rrngJfuxt8vGAFeOwpsuQ/wePOvWG7SCWE/ORIEaa29iRNKwx23bn6XAvqZq1oCePzaeeWs3VwMRt8QzkNeGNucfz3JM2VGmD7vXRnqcndsMwXqEAw26y/nDaA31aDZ34sCvTgaL7z2YjGaigDKsWB5cPr8iD4PZVPkTQSkpO5jEmSg7w9gecs+M+goyjAlgP7wesOKU8suQtSyiIJgfFA5MVLjVkOR3PaIwDi8z5KTQIPgEBTr6ZQNQRB08H6NHAQypAZR4wXOxwSIomm+cenUQitISPMGBPdYyU5OZ1pkGKjIOoK0w3CP3g0OUsduQ/gobNfqIbHeiYx5UWgzxBqCxY4ME0HQ7DtDHqvzWnzPJ7UXMj1JtSCoLe+wJNCN+rkajWKmGT8hOora8tTdskNoHg7FSAF26kgsF7S5mzpiSs6vmn1DkMiNXEvoRU5pB9h8CA5Bc0GwN6W9sdFisYZgQErilqZHp2cM7VYcnTMB2iEVDmoIAmLENB0FRh242csJdTVSkRPQKTnUU1A5kibvMJBJO16/YOgxJbIIJxIWDQEknVQpDsGSI0SGjZvpdCW0grIbnYbDUkyoRe1GUxFAjB7niwwbxoWz9HAdQSewIMgwaqjgEmoDkMfWrodeU5Fi1Rej3YW9ETHiWygNF0CzHzIJYOSAvW0IguDCgoflGvT9ciJ6Uddk9cqCGisAsC9UUled5BNjx3YpV2MRN6PPxUDyiDUwi938wgHUgSI0qwGEOoL13jEsCdh8n8lrFzoF20C4CWMzMmwbO3U3iUBe6x3PL0bIGeG7260SBI/EFiOa0XZ3ZZcgg56nNZND6VqgfoOrT/Hi+CbynM8qbvdyQ35nNG4U8pvkk9LWhXk1epFTu40qEjZqCEKsSW21huBFkYPCBTnOPW5p3bJD3stoJohJetPHCsFmIXKN7icKGFgZyNdhGBAdgumYs3MLWQb2bMMPl90NPH3tVJfeUiOLLufWa2H5ukoQBOegQzCTFM/tjSLDALoSWrHQjciwXqMPN5qKAKJbmEaT1UjIYEvVQc28I3ESuR94GUHJQYOoOQ4LggyjhgpBTl1sNDKciYsCh1sI9QM3uR8j8dcANau08+zWEZycSQ5BB5FhKsxSV6UT7EbP9US0fHVa8lGuxiJuNkcpFkJjkcoTBOndVl2HYHgBesldWtt1BMlrF2K/NphME3dh0ZuKUIeg9ciwBzKqPXlqR8b6lGZMKnJNRQBk4MX+6ErN4xsjLAjOeUiTjxfHN7oej3xxfKN2RmoMGHjN1edwBHUIqo9PwSblZpcKR9169cQ/u4Jg3EaXYYg3ZKw6BK+u0SnT0vucEvOudArtMJxFkvDcGDmvOvuYcsNlppCvwzAw5f4i521ObsQOvDItxqUmgP3/YH8bBdIeOAtMEldf2/XWN1CnFQSbfCPCd27WE9cpK2DUVATAGSIILnRDECQi3Wi6CknZr7+wTfqJsCh0o1ZxXugU6r3ac81/630fNHJWJoHNkRnmHK4AWBBkGDVCnbs2/eXyEZoH4etVrDqCxa4fmIXGkO3UEUzHhTvpFVVDkApv8X57kehMGhjSdlFzJbZtV6gsRt29MjgE/VISSJPi7pUWGQYAH4mHVVpkWJbFyLCeQ1CS0DGpja3aFqQEh6BzQVBwFxbbeUkvMGxEhgGgzptnfKShSFwOYIQ4ifZGtTdcNrFDcE6zwN8LjGkvap4f3+z68/SnGvBmbKl2ZiXEhqlDUO2skzxCZM5up+GQFNMv5WInMpxJCTfh8kaGiUOw0TeS91yjyjMpuGKU508ojs5KhwiCjuoHTrFjjJxXxXuBoT2Ot1dSEkPizaealeJyHp8ieqtxciOW1rQee0MpQ1BCaHdhhNqA2jXWN1DVjrgc0M4bLYfTsYyQuHBS9onnniq6kmJk2FFJBRW0rp9bcWFAvEGgCIL6ibqtVfs106cTbUp9RFKeiS7H5IcFQYZRoxsZdoDkEW3/RRBSajwTwDg5gXW7fmBuu7SOYIdyQmwFvZOZSnYIAvZOwEYPiwJWQ4H1AwGdKHOP+d1wQRCsd2EMpXcI6sa/KtEhSBuLVJpDMDGEoKS92BSaikzRQQSpDeGj9pwXtIZgAQ7BMdqQpNj71U483RtAlNRHrPPlEYJ16wdqHSD7JrX7v9U/ILqqmTnD5dXkYj7QKHSjdosXhNjwM+WtOQaYOwQBncYi9gRBw5II8V7rJQro7y2s1BDUuSFDBDPKZdX74JcMzrXOPWa6bkWQ7720wenEfKUci5qZsA8A0X3qCSiddPXQqyNoF736iqWMmcsyriTdhdF2nb3UiuTBiTgxD8w1QZB0GB5M15ruwzMJrXvQL6WcOahVNJP1CxH1KVRcDHviiHhiusvS+oEvT0yV0Gi5WjN/S9WBgkXQuQYLggyjxq3IsN66RRBS1oVJ/MATBOps3H2zAxW40jGlkYYVSIdN+Osrqxurv1psZGBHwKVuyapl5p1KrUJdlHJKcS8aQWO2/vrCx1AGh2Ctl8agPPpNPMpNpTsEyQ2ODDwYMIi0dRBBKuKJ2TvxTrpXQ3CSNiQptkPQTmQYYp2wvPXLiEOwWye2fTIxX/y+DlZAdJMpC5dRZ03rNZCLdMouCILJEXsJALeRM/ljpuHCBMGlQZPfMauxYXLcyEDCaLrKYGGFyUxY51zDPD1ydbXJe9H/Sn6Hcrkh5wwFiwkLbtROdz9ZGXUv80FrVla1G5cAEAwFDgTBMR2X+bnHilfPnDKyX2xo0Wq/KdKxOBFN55ogSByC+dx5Q+laoSZxoXUERYegO/UDjbalFxte4O8VXsfO8XXKH0QQrPOO4/zQSbeGOCdgQZBhcsii2FGQIEiFFPcjw4IgWL8R8LhT10EgUC/WO6F184wQotgVFBeeopdepNupI0jrKbpRPxBQnEoeEpcw+xwVIzIsOATzuBRdQBBYAvWu185yBSpSVpwgqP0M96XqkYF+fdHBdJ1ygaJm4FVLT+NBWnDIFiIICusmR2G767Ed7ESGASHuW59PECQ3RNT1A7PI8ABNF2tnWtz/zCxj8ixW0W6arTbqbtmkN9UkxvhIQ5OSkhhW4rAq+pJ5HII6Re/NWBIw+R3V6z6sB6ntNZqutiTaCucaetHl3GP92GBaviGDK6v35H3OskIjw8n6wrbX9nbtdHIU6H+5sG2WAisNRbJQQdCuQzA1IdyIAqC41a3eyC+UM7/TTJ5LNjtqinSMNo2Ya4IgdQjmqVMKSOhKkjqCBXYapgJdn4sOwaTsF86p9ARBGgMeStfiSHyJMhFZKHyfODZsjwq8wmIYkfZt2y3NK4Q67zg6Tveio0t1J8QkMpz3+VXrdnSNWBYE7byu9UQQ3Pasz2BJ++iOg8SRf/jIQ9a2IXQYNhda6XO3b9vu6P22sw5tqmB6kq5CQkanoYh+bNtsPHqvsf3OR+3VERQacdQbL2uVUJv2O4GMuUvRBXQFQQPU+8ztY0Je/O47BF19DeSY02MQF85Bug1bFaT0mmqoI8N2X9M4jRvLaQSlhOPjgCnpBDpOke86EQTpZyx78pr9Xhg5BKePf2fQ0TWSW97offj4o+SUbPBVqIXQkn++TTAai5P3yOryhb7/+dZ1a/8WvB0ixr1wKunaTSbDsbUpzp3csb7naUDOuPo+WxoHAMS6Nb85GXiUmJyaAh2Cpl3UrToEiSCYr6FIFuFcw+zcsPv38Khvhngj0zG5KXQbjqDw98itbbx88KDm/SwkMgwAiCwA6omr1eXYcFGOtePHtOdSeg1FshRaqsWsFubUvnLz91TYTjomxJOfHL3EUZO7ozHiEIyeRbVnUndZK9cOlfQ7StEb67cefTF3/tDRNWLJndeVIHUEA30GS1qDCnRGLkWn+5a6hrPHc/X2tlZrBb5Xxtdrb8AQl+Cl1dp4MWMOC4IMM4V4Qukxbe2el2JHhpPjWBbU3gHcF9UpUOwmpGHJ2tBxa7WGZoBDUOi+alHAXR48I3b6c7Oxi51Ow3ZqoVkl0KAUMdaMobixYSEy7Eb0uRhUepdh4hAQnCmURiIIDu2GD/nrhFZ5RUGwEIfghM66eTv5OkWnDli+uD+tE5Y3Mkwcgt0W6zgi3o9FBd7ZZ2YgpKnHyxMblEYDxaT1Wu10YrB8zRpoQ5FUvei8K7CG4FJTQdCiQ5BEhofy1A/MYiuNQIWu1mvwxMilmlnnh05WbL3RsBQT6oG5Un9s/g3a6d4dQKpIvxFuIMvi56rGzCFYYA1BvbhwlnOPF78zc8+zmvNiGRKeGdtivLwJnYk2ISmzgjqoZzGNXm1c18qNB9ppeFHAQeRcRTEjw4B4TBAcgokhnB/SNsTZObFOuwwRBBf4+4CJUy6NcPbDgiDDTCGcUIZaAY9+vM4SgrPL5cjw0B7tnWNPQOwW6DbEpRD2xJXOZfmg0YVI5QmCQrFvi++XENuOLAFCYiTQMXRfmQnLxWgqIkniHf0iNxapFRyCFdhQBJgBkWHiENQraK+m8SJoml1k4jgvlP+EqoqKdZIfCSoi22CC1hAEUO3VdwQUjFAHLH+9SjEybCwEh6SY8BxGguDZ5DzhRHtTRKcwPDN7ifYAw1pnwwtF6C4sULUEqNF2Gkd3mboN0yYUNC4MCA6qOu84kI5b235yTOnuawSt9WYEcQiOWBQEheOwwQ22+f4+YOQAmXkjdk+eD/jJBXkpm0XYoFknyt1fqEMQANquh+YSNh0Dep8rfLvFIj4gNN6yFxnutSfijZn8biQGgYEi16c981vN5N7J1Y7f9zS8QiOZFcEug6VnH/RYZaXDr5uR4aAUFxyZrnyHNdur10xTARK9z2uud2NyAHuj5Peqbg2GqJO8Z4eLo5zdsCDIMFO0+EkdKWrZtwu9w5ccQVCyeMJqBVq3rm49knKR6gdmCTYBVUR0HNylv6yaGeAQ7HNYQ3BDmHZ5dtEdCIifIzMngBAZdudHW7ggK7ZD0EMcgpUqCFZ6l2HyGRZcsJRAnSAKbDStX6UguPf8NaBddO0g64hypXIIjqSr89arHCWCoCBgq2ilvyuYqtmmi6TT7Tn//mdmEbR2n69GaPhTNKhLsOfp8nRqtNKEQq+ci1UXVb5IcGIASJgIhurlVAylrAmC4u+p/m/6VTXac6uRdDXQdIkikLSRmpIV2mmX3mgfTVch4cZ5arARaNY6JSt1HwAQP3PekHnpHCoIyimx1q0ZZpFhoLj7KtotlBt5cvSSwrZJmiWuCM0dQVBw56Xzu/OoQ7DJN6LcnHTh+QEYNqdzChUYBYNOr1bY2zVxvni9K3nwyvh6st6zLo1w9sOCYCWQSQPHfoALI4f040tMSRAOQIU0FAF0BcVCW79roF0A3RaijKD18fIJgmnRIVPwvi0CYg3BPiCTJy4pZ7AuTE703IwLA6J4alTbMJMSu7G6JQiW3SFYX9Tnc0wldxmWZeFCszdfDUFAqCO4MZzfoSa492htRSeQfasXS3YFPUEwD8Mp612G2/xa0QDBeaYXxHsnqSB7tDyiDFMeSFwYLVcjhSLHhbO0kQ6g8T5LDmHXoQ5BPTeKLyIef63eqKLRzaqlgOQ3X0YPItDQUgJGCGmEWK/SmEmDLHQXfn5883R0fD7ptDt+LL8IVAboOW/B9QPV0H3Q/6I1IbccCJ+55eY3noKNgES+91bPu+SMGBluIoJcz1PwS0XqzHzmEWiagPmq8fLExsK2WXu+ZnLlHIkMB6W4ELnP31QEOJecB3pT1mkdQRrfnciEEZPFFEch0GREk+o5A1ISGNA2Ddo5QYS/KV6h84f32RPS5zCuCoL/8i//grq6OrS3t+f+HTtm0Xo/l5k4CRz5N9y94HvA028Dnv0jYPffAsd+CPS/ItrMmaLQ4qeR4QIdgt6QIMgIz+GU1CQwckg7z20hygj6PEO7zaMMetFbWhevAhAL/WeUmIYZY8fE4sZuC7N60XNZp+MqdQcCrtXeE07ii+wQFJuKVKhDsJJrCCYGhU6deR2CgCAInh86lbc2kxAZ9rtw95iIisJzuAW5WTGSyi8I2okMt1JBMLLQdNv7iEOw2jOJZcHKrA/GuEysHxjaq51HRbpiUr0MpxPa854rytHBltYQ1IsMA84bL9BIcM15QHW7dp6VxiLEIWhZEBSOwxnhontZ4CwWBbTnHzvGVDdjGzaJLrKzleeQo6/LlfqBWVqv0daWk9OioF4pUEHQrKEIoIiFIa3Ly7IDdvIMkCa/l6s/BY1AlJrAxRFyDeECEjJCd2HMf3vhrlAiCM739yNSrHOCCqLRJ17/WxEEE7JfuHZwWo9YrB9Y72g7ZtCuxc3+4dx1zqbwG4qxZIoMJLw2sVZ3Ox3RVYBX3ZROBvqed3m0sxNXBcGhoSH85V/+JU6ePJn7t2KFSY0ERoG2gI91K7GRI/8KvPZJ4Klrgef+BNjzOeDEfwKDryMsxZQvi9k/kP+NlgH5e47S4iuCi42Iii2+QWvvg9Fj2X9DewG1a0TyAQ0F3oGzChW8UmPK3Uij10XjMIFGwEe6iFYA45kw4CXNDPJ1GqbdhcMLCo+aU+jnMJPQdxLThiKAWGfIIaV3CM6UyHAFOwTp907yiZ069Wi4QKmjN4VXSgPDe01WAKqpe486d5xARMWaotUQ1H6XrFzUU0Gwxjup4/BRmO8nHbnD5oJgX6oB55LaGqQbOTY8N+h9BiAdZdG0taRDeHFc2731iuq9+jegiokVhyCg03jBoUOwerko0FhyCDqLDI9lIsK5xjxys5h2Du5NNeBwrH16huQRG2uce7zi3MT0dbkqCPoiQiOBShRFAYgCcz5BEHDeWIS4A0fTVUDtGuHc3ag7dSGsDR8Xa4YvfFfhG65eITgmaVPF2QitHxjNBK2786raNZMLA84EwWbB5VvvaDtm0Js+ISmRO5+m3YUPRZdhNKN/4zYp+4Hmy7Qze551bZyzGVdzCIODgywAOmHUwl2ayS7lX/cTAICfrxgBHr/XdJXfrhwBHr8797/hMkBuuZ5UI3DWCyx4h51X4Ix0DBh9EzfX7cDKUCdWBjvR7BvB/ugKfKPnw8V/foLrDkFAEXNU7+/tLb8EHn9CWIy+D+r3S/2YIXVrFUdiKQi1AJFFyucxy4v679dvV44ArxNRqgLjwgqSIuapT9zyNRahse1iuDSDzcqJkKyKL0fPip1QqUjory2sKY6KvmS9dkaRBUHFIaj6eZopXYYzcSCTBDxFruVpBaFu53yxU6cevgjejC1ROldmGXhVrNekooq6ZN2IDJfMIUgjw1V5V9ETDWu8k7pNBYTIcB6HIKDEhufXTQuJ3FhkjkCbeLRcBXgD+ssWiRfGNwGYjmc1+4aVm9b16wzXcZV0QnDtGgqC9Oab5ciwjjhD45v5GotkUkBSe7Fu1SGod67R6hvEgdyjGUGseW7sQgh1WeffCJz48fR07BzOD53EoZgFsalEUIegodvTKfNvBLp/Pz09tAvNvqvcfY6C0eswvFJ/UTXUAWr1800EwRPxhbhSkpR9pTpn3VJ1QDGXuMj1NTs1052JVmysWwegwNID3sBUE5bp39O5EBtu8lJ3no2b/KTeu9NOw81F7jAMQGwGAgCxHkjI4JKqA1D7116Z2GC+sZarAfx6enrgFQSlt7gyztmM6w7B+vp6S8vG43GMjo5q/s1ZIkuAhs2Iy6U98dOj1TcIHPiycOezYNIJYPgAcPqXwL57gOc/APz+KuCV/4U/n/drvLXmNSwO9CDsiWFL1QG8q77E3cJSk2L0swgOwaJRqriwG89XgQ1FctCxmTUWkWXRIViMOo6SR+fEUEeoFATBeteGIFyQJUeV2HoxyKTFmnSVWkNQT/iqFJcg/ezaOJ51kDp2tEA4RWwq4kJkmNYQpMdntyD1ZazUEBzVEQ2NYsOtPvJbGl6Ud/u0sci68LH89UyZmU18UKzHW8q48BSnEvOVc1I1pYxh6rigDEUkJw7BxJBY07hmpdjxdfyYuTNSx6Wve1FrBDnXUDe1Wxs+LsT0NHHhLDWrgKplmllXk0Yk5UYQBF3uTormy4TfiquqK3AfpEjqwZJDkHYatioIam8gnUxM/fa3Xadx2fmlFC6r7rC2TQuEpBiuqNmjmffU6CWA5LzBmAYSG54LnYZpZHjQQkORHEQQXOh3VkOwiXyHixEZTsp+8YZKrAerQ6eFc6udE3luTs27Ehn1zZNMnG+qWsB1QfDzn/88Fi9ejGuvvRZPPWV8EnHvvfeirq4u92/x4sVuDqUiad+2He3btus88AG0//rdeP+xe4Erfg6s/z/Akv8B1K3X1sfIQ0eX82K6mnXTsdwFoHq82b91X4NqGfXj7/+Hr+KfF/8z8ORbgJf/J3DwH5V29ONHAZNow8WR6Ri12fNZHUdeaGwbHqz+8h5Hz63mY78advS+dHSN2Ftv3uW2nyML3VeWXrPD5+voGsFnHze+sHe6vwt5nzSvn4omp34BvPBh/X8vfki8sKANV9xCdfHQ0TWiEQRz408Maz83FmO2VvYd7QAGAFd+8WeWtm+b8aPw0NIFtJZOAei9Xqefn1V3/0GcSeoIFnoMoWTf77zbJYLg1/9gvb7hXiJI7T34Mj557zasCp7SLUQuCLiuRIa12xBiyW4hOATzjz0DryB66gmCEjJil2HiENR7H/dFte6RkJTQ+Y3Kj9ufPSfPb/u3eI7yv//5n5E9J+roGkFMDgDN4u+s3v5085gGSLjrFSK0dT9lKI7ZPnfIw7u+/qB2hq8aUaOIHBUErTioxo9rzq2Ssg/L/mEvLvvOCc1iHSdOmzf5I7/9GUgYS0cMFtbZN+H5mnG0qGJ5VxNB63RiPk4ltAJi+7btitCyQNtY48rq3fAalC8wHQ95zO57qbu8LAtNRaxGhi2PzxvAP3doj6lqUdTq68j3fFbWNzqXXhIgn0tvRBT7oLPfhRqZ5g6v3Lo6DkEAgL8W9x/WbvPqmtfzvj6r+/DKmr3Kb1UOD54Zu9jx9iifeER7nmFHEHTzN8iNa1Kr2xDr9+kLgrrb04kM65UUyDcWKuqrx+Dm77twbIj1YGvVPs2szkQrzibF6wHNOAJ1OBjVCu50O4yIq5HhRx55BB6PB6lUCr/73e/wp3/6p3jmmWdw4YWia+bOO+/EHXfckZseHR2dE6KgGRl4gZoVyj/cPDUzpcQKRg4CoweV/2n3qGIwtEc40bDNRCfunP9DeJABZHsW4xWhLqWQfalqzdEaWbXnF14EF0r85rranVgfLk5znQwkYPF7StdhOEvrtUDb9UDXQ7ZWO5lYgCdGL8M/FWlYBUObnSSH9Wvz6RFsKZ77kQqVerUN6ThddNUlZL/iOFQ9R4t/CF3JIjhgh/ZopyOLK9YhmJT9SMkkll0pDsFJrSBoqaHIFIdj7UjK06cHEmT873nKdz0DD07G5+NIfAmOxhbjaHyx2ATGlciwVnATHNxu4aDLMAClFiqmI0tC3UsAjd5R+CXi7AsvBGB+ITOSrsGpxHxshOo1D74KoESOc6bkXFGtPQd5bWItLvEGyzKWl8Y3AlBF/6JnBNdRsaACkmnKQq+pSL56hyQK3JVohQwPupNNgCeolH3IMn5MLM2RhaRoRtPV1koyZCHnGlmHoA8pXElcVjvGTM7v5t8A4Ku5yVrvBDZF3sSuyTXWx1IsksPC8U/v5mKh7Bi7CH+Nw7npZcEzwPgJkzVKy9IAOV+rWWHNNSc4BC1EPlMTws3AkyoxecfYRbhN9fuzKfIm6rxjlm6E5eO6mle0M+ZdjiE7jrY8HItp3fWLAr1KUsVnLMTPdGgNwSELDUVyEIdgQEqi2TeMPtrlPA9UlHS1DqiwXZUjMtYzFReeRugibMArE+s1191bqg6aN79k3BUEPR7lx9Dn8+Hd7343Hn/8cTz88MO6gmAwGEQwWJ6TnRmFxwfUrlb+4U+UeekEPnH3f+GFD1yjWfT2f3waz3/gWmGazqfrAMB1ta/iPQ0qRye9KHdCz9OKGGiKB6cT83E0vgjX1LyWcwZ5kAFGDgBN4t2lokBfb8NmVzYbk0P43JlPYZ5vGK9+4ArD9yL7PmTfryzqab31PvKVnei47f2ujNUWkgfY/FX82S83Y+8HjIuea16vJ4hPP7sLQh2cSoJ2GrRD08XuRSMoVBCc1IkyUzeD2404wm0aQVC4cHOLIn0Xi8V4hpyMJt0RBOu9o7i25lVE5SCQeqv9k15yUdArdNE2Jin7cTC6HBdBvADxIIPlwTNYHjyDG2pfUj2iOvF3wyFIthHxuFvrCIAiHtAuw7YEwWn0HIK0fmBS9gFBa+/D3slVuBkqkWhgJwAXirNjqhNk1+/w0abfAadjQN1a+JBCyt1TQsYqiRFsjLwJYPpi74Xxzbi9TMM5Fl+k3NxSH0O6nwKw1HAdt6BNKEybdFGxMJPIfwOP1A88NdVVWYYHqF4GjE4LSxg7JnRdzyE0FLFZJoH8pmcdghdEDgs3P0wFwcgivBlbio0Yzs26uub1yhAEo/T3w4MBu/vJAvuiK5Vay3FVA6dzjwOoDJOJ4BCssljjkQqC8QGlRrEZY0e105IXnYnp7eycWAd4n8h1IfZAxluqd+ORkcLqLs7392FdmNTmXPguAO45+08mFmqioBJkxSDTsMlkrZlNI6khaCsyHGxGNBNE2DN9k2NRoNeeIJhOCDd8iysInp6eMfi68N3JWz9QtdzHmn+Tm673jgHD+03WYIp69pdOpxEIlL8u3qzDG8CZZIty8qKiK9mmmZedpvOFdaCo6RpBcPyYUiesEGjDBUjKHYu6tUrHq7q1QM1qfOouRfBaHOjGKnWR2KE9pREE5cxU114VDZvh3g+ZpNRNMXkvck6r7DJZ1NM6641m7MfI3GQkXWP42QLEzySw23DZiqDpUqWWkJUOg2q8IWDFnxdnTIA1h2BiWDvttiAYatNcLM0jMQJXkOUZJwhOZkIAVDGZlPVoriFyBn8//36sCk2dHB3wAZv+wdb6tN5Qj827wg8MvR1/Jj1ga50c/loUfPwkLsOidBlOR7WOINhoDEBcq3U+UQhuJYLguWSz5ZsGHdHVgFoQHOpAQHqHK8719zQ8Dez/A97dMAIcVOJ1v1gxjhOJBTgWWwx0pbAs0IPTiTak4U5jIsaE3h2aMgkJ2Y/XJ843WaHYSEoCQN2wovtJAP+r6M9syyEYbEYGkrbERL7YMPlt70yoz7eWawXBCSJwqCE3EobsOqzIb/o839BUMxFS/65+I3pT5jcRdoxdiPdi+kbypVX7EJQS5a9LTh1twWYlCeUyMjxA29uBUz+dnnnuMQC3oRJuQC8J6jgErSCI4TIQy1MHjjp5q9qVzqtTxOUg0HINcO6/c/OurtlVsCB4XQ2pM+yvA1reAkBsouiUhOxHZ6INm9XO+dHDs1oQbCI1BPvtNPSQJHQlWzTX1Qv9vdgNG78tcfHzVoymIgDQT5sXkmuB4XQN3oyR+rYGdCebcTrRho3q89DeHQAqp+FSpeGqIPj444/jbW97GzweD5544gn86le/wvPPP+/mUzBF4lh8EZKyT2Xvl4Fh55l7D9Lihf3GLwELbjBc52B0uSgIloKxo0CaXGw2aDvtMXMEbwC49EeKmG1REP/qa7vx0//5aXdikkYIzU50olFFbCqijEF7cio4Odwgek48AalwQXA8HYFGEJw8U/hGh/ZOi4GAcvJ+/l8Zx9co8QHFLaOi10ZkGAAORFcCV/0a//7Nb2BlqBOrgqexMNCn3JXPR6ABhQuC2pPOFt8gPEi7e0FJRXQAIylnDsFajxgZpg7BHhsuzf3RFdCUeZaTWBM6jr3R8yxvwwits1PBJ6WxKtip/AbvP4BvLRlBUvbheHwRjsYX4UhsCTC+RqhLVGxCUgwrgmewMNA7nTg4Pe0WvbH29dx09u+31e4BhpcANat1tliBdD+pmXxtYg1iRnXzSkXrdVpBcPK0GH0sAsKNJjOHoMeLgVS9VkQ0bbwgdns9lVAJc9Wk86tZp2HiELQduSS/6V4pjfn+fmytJi6W+flL9/xh/AIAzyJbgzLsiWNL1QE8P36BvTG5DRUEzd7LQllwo1YQnOzCquBpHIkX39VqipzBkkAPAFX5I9rAxghfjVJLVE2+xiK0pFTNKnGZBTdqBMHzQifR6utHT6rZ2rgocgbX1mq7C2PBOwBP4TevKMfiiwCoRE+1gD/bkGUhMjxoU4w7k9AKgosCvfbGQL7DMTmAiUxxSnnlcx7unFhnqyzDKxPr8UdQCdUsCJriqiD4L//yL/izP/szRCIRLF26FL/5zW+wZk0F2NaZvCRlP96MLdFavof2AGh3tL3lwTOiyJbH7Xcwuhx/XL9jesZwB5DJXxy5YIjweC7ZjI0WY13MLMQXBlqutLz4i+NyccVAQHRJpCdFwbIUDkEVRYkM05sA/nqx42WFcTy+EFDFtTD4GrD8I4VtdFCnq+/ga8D8t1tbn3ShTso++w4WAAi34XcjVwNT56RhKYbloS5FOAqdxspgJ+b7+7XrhOYD9RsAmHTotkKtVvgKe+JYEexy9wKPNgXyBJSIthWIOFvvE52h1CHYbUMQnMyEgbo1QNeLuXkbIkcLFgRbfANT48p/YeGXUjgvdBLnhU4qiz+/HfCG8dVFERyJLQbOerDQ34uzSYcXkpR0HOeFTmJlsBOrQ6exItiJxYEeUYQ+OO06ub1lJDed/fsvWkaAl/8bgAffWhzJCZpH44txKjFf45gpN1Weyak4+DQvjleA46Vu7VRkcfqClNY5LAbCjaZQG2DSJKMv1aD9LYp2Qx29VtPgHRV+N0/FiUNQjVmn4QSNDNs8vgYayE144Ob65xBUNWXIZJ2aEAV8NcPpWiXaPDBdw+3qmtcrQBAk4pVOIw3XqF2jnCtMTt9Iu7rm9fILgtHuqfdULQhaFCUkaco1pXKx56sjKAiCOjdFmrZO3XCb/m5fVbMLvxyyeH5BGXhVaDyBhTc721YelDqCKkFw5FBRnqciSI0jQJq4DdqM3J8hDTgW+u0KgtrllQ7DxXHd5utevNNi/cAsr4yvB9SC4MRJLPD36jYlYVwWBB977DE3N8eUmIOx5a4JgkITjciSvLWTDsbIj2R6cqobcZEhIsTB6HIY+xgZpgyEWqG4hVQ1OYnoI9YQrHd3DNQhWAxBcHiPdrphc/HqMrrE3uhqAKrCx0O789f5ycfAa+I8W4KgVozrSzXYK3hvtFk5hAPRlYp7cIpqzyRWBDvxm2ub8aM9e/CNP7tLqX1bKMEmnE60aWrIbIocKa4gGGiA5ZNd4sDVqyFIxdKePNE/gcYtAKYFwQsih/GTgZvsbYOwMUJ/U8lxJR/pKNaGurE2dBzo2IN/WzqCaCYE7NyOW5tkHI0vVhrYjBzEyuBp/W1MPeaXUsDph/AXLb/GymAX8Psv4p8WuXlcyWBZ8AyWBc/gbbWKWJKSvZpo9PmhTqUxUHa8U92c1X9np8czEVvNeaywpeoAIKsaL3gCeHVinavP4QhJUlyCR6cvvi8vtiCY60qrqpcabgNg7LruSzYAajNlzFgQFLu9htCrLqVAhZrUuG5kDgAQLzAyLEnoTTVqLtDfXqtNpeyZPA+brbrC59+gEQQvjhxCtWdSrHFbSmh8u5iCYLbj8tHv52ZdVbMbP+j/k+I9pxXINcx4JqLUO7SI0oRFtR9jPQDm6S4rISPWEKxZCYAcUz2+qZIA/5GbdXXNLvxy6G2Wx6XhzG/Jc64Wbui5xdE4qQs5fhxIx4EyNWAqKjrHnqG0PUGwK6H9zi0KWGhMo4YIgkKs10X6zARBbwh7Ju19po7ElwCBJs3Nm61V+/HrYf2eCnMdriDN5DgUXQaoTUUjB+CXnF18rA+TH6XGi/KuM5KuwdnkPCzwqw6CQ3sAWIxwOUJWLuBVCMIkw5QbjxcItWjvuGtEH7moXYYBCA7BZt+wcgLqJjOsfiAwVdBcTTqqERLsEpQSijuaMqDjGjSCCIJuixhqxjMRxbW2/Cb8argJ37B6AWuBfdGVWkEw/CYeHLrete0X1IiHvE69LsM0MmzHIQgAaLpEM7ky2FVwt+UNYeIgaX0rsP7v8fmv3I9VwdNYGerExnACavdIPsKeGDD4Gv60QbXOS/+Bbyw22MZLP5h+7GAd3labXa44tYnU0Gj01xaNaMf00g8AQPN3bhpTNUN3Pqq4N+vWArVrxRqvNriyeo92RtOliJY7Lpyl7XoA/5abXBLoLm731uSI4IhRfndMBEF6ERntBqAfFV8aFJs7aG6UhNsAb0SbbjGKDScKjAwD6E02aARB2pF3x9hFuNXqxlqvBQ5Odxv2SmlcXr0XT4xeZntcrkHdbGb1IN1g/g0aQbDeO4aN9HhXakgTm9OJNlxu4yan8vlWn/d1w0gQbPMP5JqF5KhZDeAVceH5NwKYFgSXBLrRHnDg6k+OAT3PaOcVyR0IACfiC6C9aTclgtZXwE0UtyH1IsfSEdvu9jMJ7WelyTeCkBSzXpIiThyCLnaNpihxaIPvRtOltusny/AALVcBXb/OzdtazYKgESwIMjkOx0hziEwCK4Jd+gubICEz5TRU1b5oNOmSpuJgdLmOIGg9vmmXFt+gcBfmYJQFQaYCCS/QCoKxbmQvoKs8UUAmsaoiR4a9UlrXFeWY5Khw8jwTBMHRdLVSp0cd1RnYCWCB4TpmrAmd0DqGskx25i+Yn0UQBGdmCYSOydW4qW66DvHa8HH4paR7kU9BELQhZubrMpyOCfPO2Y3WNmzWxAolyFPdaB0iy9hM12/aAvirsS+6CvuiSr2p26++CR9+/BdYEexSouGhTqwMdsKWk9BFMpDQmWjL1S7a2DDtEjl4tDM3nf278/hhbEQcsFLv0iYRT0yJ9Ktj/f5afHFBBHjzFC6rGsGR+GIlaprnwj8sxXBB5A0AVdMz265zfcyOqV8v1qzqeRpAkYQdcnzLQAKC+uJHlr4U+Z0zqbG2hNZApI5AaarT8IjK8T1+HEC9uDGhy7B9QdDsuJyUfXh53FpHTQCAvxqYdyVwevri9+qa1ytLEAy3AijshoYpVUuB2vOhFsCEJi2lhgqCcXvfnX7h890DQP9zIQh6gQbjZFbDJvSn6jVRX0f7qvv3mnrFadmr1A8sEjE5pLzP6jIto4dmiCBo8/eIXJsOpOttP+PZZAtkSJqyGwsDfThGnZZGUIdgkToMA0AKvqnzqmHxwRaHTW9artYIgueHTqDWO66ctzMaWBBkcoxnIjidmI+Nqh/stSGTLmsGtAfOKQKFRhDM7xAEgEOxZbi+VnU3a2gPgCtQrJoFa8Pa1zearsKZpPkJKMOUhXCbNvkRPYusIFjnFTucut5UJNgISD6NWOVqbJh2+vYEixY7cZ3GLUQQfBXAHzva1CYzwWfgVcBK9JcIgr02OwxXCvuiKyGrjv1+KYXVoVOayHJBxPUiwxYhDtyIJ6YVK6Oi28JuYxd4A9gXXYkLI9OF0xUBySETp5Q6amqICzHLWKYKe6LnYY+qZuHJj14GjB7CTzsewMpgJzYGorDjJLRCBhK6Eq04Gl+cq/t3Ir5Q4w74wKemkwvbfr09N539+5O/3o6b/r+3AqNv4P49P83VvNTcbHST5CguiHQCx7tx5/yp/fHMjxUHYd1aoHYN6ul+hxIX1rjCJN9UZ84/FGecdpE8eGliA66BqsFc91MAPlyc5yNi3mCqTnHHm9CXJN9Zk5smQmRYr9tr9QoiCB4DQM5fMykgqf3c243yAeYRuZ0T6+07ReffCGD64nd9+BiavMOOhIRCkZARxAQlMlxEhymg7IOD09cQV1TvBdIJpWFcOSARXk0TGwuIgrdx5HN5kDhpa1YZ35SQPHhu7EL8acN0d+qranYBckYRxq3SpY0L75xchwvcTqdQatcAUJ0vnnpAKf9hcJw1JTmuNCYZOagIiyMHlRuFrdcC6/8+7/HHCuvDR/HxeQ8qx/qeGqD1amsrEoegk+6+CdmP3lQDWn3T5zoL/b02BEHt562YkWEAU8cI7XV5BtLU7+KLuquY0rQF8IaQPU/xQMaWyAE8Nba14KHONgovKsSUjPZt24v+HAejy9DRNX2ikxXMjJ5bbz6NC/ckm5S4o866dH21O6+jawSI9ykuPpPnK4S1oRPo6BrJveZDsWWwIj6ajUPvddndhhvL03WdrO9kPTufFSfbc/parG6jkO1n1yvKd1XoNDztdhDiip6g0hzFzbFIHqEG0Dz/sO6idB9a+kyQuPBP36hF++eegFOK8R00pGmLdnp4n6Y4PH1Oo33Tvm27rgMsd0zWazaiw+OvacsgFDMyTHHzsz+eiUx1FZxmk80ImOl4VA7Bjq4RfPFxG11UddyEmk7Dk1p3/XC6BnHaMdICu0ndnAsih40bHeSDfH4GUnVo/wedeLoB7f/nJWDeFXhg8EZ86dyfA9c+jltPfBFfOncbsOI2vD65BsPpGkW88wSRkP26/9SPIbIEz45dhPv7/wTYej8+cOxefOr0Nnyz58PYPvIWvBFrtx0VAoD2u55B+9fO4rfD1+Cfe/4MHz/1eXzg+L34/JlP4kf9N+P58c1AeKEwptc6J3N/wxMEPEG81jmJpGzz/nliEB27t6Pj2X9Cx2//F3687AvAM+8Edv01cOwHuDByCNfUvK5dp+kSwK8Vltz4PhXym/z8+GbtjLE3scBmYXrLr4GIeYIYQrbXvm27ZpmOrhF0HFdcxAKyjKVUECTdXtu3bcdnto/mjrcdXSN4aMcOCFBnMZTvt116TRyCO8YuzI3JMvOuUOp5TiFBxhU1e2yPyynqsTZ6RyE4ii1Ehgs+L5v/ds1NpLAnBvS/YOn53D5vk5ABJk5q5p1OaPdB9nUZPbdagOnoGjF1wLYHz2quZ1CzyvQ17RjTCt3zfEP65UoMWOTvBka0XbGfGtW/wWQX0/ei9nzt9MRJJSq+66/w42VfwDP3XYx//9a7gWP/gQsjh1Drmbphnopibeg43lX/LLD3Ljz2b5cDT10DvPpx4M3/q7gdo2fQceoccPYR4MzvcmPJd81nSCaJv2n9TywJdCs1hfd9QWwIaARxCA7ZbCiS5UxCe/29hJZOMENoKlJ4ZNh0f4XFOqOHY8ucJ568QXzvoHabQid3BgA7BBnCwdhy3Fg3rcIr8TV7MaF1pKHI/ugKWC1VeyY5D6PpKo3AsTZ8HL1jxYm8UYcgx4WZioXWqTITBN2OC+fG0AZEp+9Cu+sQ3KOZPEhLGFQyjRdC05xBTuL80AnbHWGrPJNTZRoMTvwGXgNwCUxvWsgZtPiGoK69OlMdggDQMbkKf4pp4WRj5Ah+OuhSJIlc2I/YiZH4a5GBBI8qilPnG59240xq3Rq26wdOsXvyfAC/yU23+IaU+LgTSB3KjugqFOq+H0zXYedEHbDqJnzxB9Oug5N/fhPea3Dir37s5J/fhG88qvz9fxs2IyYb14srlMlMWIhGv/e/p8ehHtN7t23HyT9XnIfKfBlN3hGsDHXi51fXKU6SkYOCU8yUeC/Q2wv07sDdC3TWa3OxPqZLHIwuV8RvVQOeLy68DxPpsP4KL/wU31x8Bml4gDeOwS8tsR7xJ2KH4P7TQU80bPKNoJvG82O9ijgEVfOB6uUAtKJsJxFsFgV6xFq5JC6cgYSxtP3mHb0GgudkJoTXJ9fY3h68Qbw4vhHX1U53rb665nX8dvga+9sqENotOin7indeoibUggPRFdgElZhy9jGlVmqJme/v18RpARccgslRBKU44rLYRKM9SFzpNatMt30isQCdiVYsVjeaOPuY5VIt16s+Z4Aiir824eBza5dG8+7ZTb4RNPlGgCOduePscLoGePKL+Gq2adW5Oizwj8C0bm3374HFf1LYWAd3o9GnOtanJoA+i043IggK5Rsscjoxn6QMrDUn8yINxLWN0YQIu9voNB7aOb4OHyhgk6+Mr8dlVdNC9wWRNxCQko5uNM5m2CHIaDhABLEa7yQwccrGFmShw/D+qE4swxBJaOqxNlSkiEFyVIiQcEMRpmIJGQuCQmS4WJENcoffNUEwnRAaccwocd5XpUQDVZhGfw1YFz6uEZhkKtbEe/PHHuP98EraepKldAi6TUdUe1FzfugkQlLMnY2TLsO2BEHJI9Sh0dQMjGqFLdv1A6c4nWgT44j9L+svbIKEjNKpWkXHpPkFI6NGwkC6Hq9MbABWfQK4+NvAtU8CV/0W2PyPeGjoOqDpEqXpiAOUWJTFKFkJkeERxJRW3yCWB8/o/sPYG1gePKM0bTnxY3yo8THrT0YFQQsXn5OZsMYVBxj8Lo1rz0ujmaDuxeepuPZ3NuyJi9sTjhs1jrq4G5UQeGF8k+M6qdT1tSrYadvR6Qbq2nQAMJCqz1tT0y2y7socfX9QhJgSIzhSAw22a5fp1WybR/YtAEQ8UU0sFMBUQxEzJOHzgu4nlUh8PjJpXFurvcH0zOjFyKDwiG1e6tbi0RF7teWV32abNXAHX1cixYXQ+6zOPB3XsR40MuygLAEAvD6hdVSuCnaiyTucd70G3yho3UM3HIKmBMU04csTNmqp6vDaxFrl9zX7FFICm8IFlF6ZpbBDkNHQl2oQv/BDe6CpB2jC4kCP4FYSunDm4WB0OS6tmq5ZQ118rjGktcYnZR+OxRYZLMwwZYY6BFNjiHiimMyES+sQVEFdAI4ZPQjI0zEvGRIOx9rd2XapaNqiic/YjbYCwMawVkQ8EF2BBf4+zR3mTZE3cXZEPGnKQWrXJWWfozhbpXAwugyQpi8yPMhgbfgEdjlx0FCIQ9DufhpNV2tEwFq1ME8cgs4bu0jYPXkerobqs9H/MgB7zSeWBc8KUaWOaL4LRsYUSQIiC4DIAvy/gRi+uOUmfOChR7DA34cXb1qIh/c/iJXB01gR7ELYEzfd1L7JVdgcKH6XZUe0Xgd0PuRo1RvqXsJPBt5pbWGLkWFKX6pB0zDEiiB4OjEfW3UEqoF0HSYzIaV5zBRC7UHiEBx20FAEAAbTtUoTBoIg0tigI7oSw+kazXHp060PoEsdG9y/G59qeUPztwwJ6EoDCyy+V3mg70ExmxFQXhjfDEhPTc/IJIA9d+ZKF32q5Q1g/27N3+r9YbRM7u8s+6dLc+jN/9MGIvzQJjYWiMsBpYyA6tjd7BtGV1IrZrfThjmSF6hqB2B+HvLc+IW4penR6RnJYaUp2rzLzQfW/9LUZ2z6mPVkCeuy3df3Xvxq6K3Y+c5W5fxx5JBSA9BJTVvJp7gp69YAXb+bni+ngH4Hdety68tA73Pi/L4X4Je25hf9aVMRh9+h/dGVwjFtS9UBPDZ6hel6VNRPyj6MZqr0F3aLqqWayTPJFpxNmpzvWmA0U41D0WXYjOnj9tbq/Xh1cn1B251tsCDIEBSH3lvVRT2H9kCJqeVnA6kf2J+qtx1XOxjVRgWXBLpR7SlCZzISUXwjtlTpcsQwlYiOm6HFN4iTiYU6DsEiCYLFcgiS7+LJ+AJMZgwiaZVK4xbg+A9zkytCnTnB1iqbI9qT9z2Tq9EXqMdba6adXZvCR/DfZnfHJ2mH4UYUqylTKYjJIaBuPdA5fWK9MXzEBUFQLiwyDGA4XY0lqmnN9zDqTmQYAHZPnA+oBcHB1+CDPTfZRipQRxZbFlwYO0jKBcz8t+M/+pNTczJY6O/F8++YP3XxehCJzpcRyNa68wTws8Eb8WdlHLUpTVuAeW8Buh6xvWq1Z1KoK22IEBmut7RaX6peKwjq3agi3V5PkWjwNBJOJeYr5XKmEATBBOkw7PCGiwzP1Hdw+mbYULrW9k10NRl48YexC3Bz/fTxcm3ouLZBYNchvL12RPx7/8Gpmnd2Uj36UDGhlMea8UwEaL4c6FSJOyph5+21I0DXIc3f6v1htEzu7yxT84zmnxcikdRqh/s11KYVBP3DQFS7yDLaUKSq3VIjle5kM96MLcXqkCoJdu6x/ILgGW0zkSPxxULcvtj0ppqABTco/wBAzuD2L/wQK0OdWBXsxMb1MpKdL2kaN2Ug4VR8ATYuvA7f3RXFfe+7BaheOb2vot1A53+rnmQHgDz7woixI/o1H9OTWB8+NlUOxAA5I8R1Bx3WEEzDi9cm1ipNY6bYWr0/ryDY5NOKq4ogWeRzyebLcCoxH0sD5wB48J9WbyblYefEenwQ0wI9fW0MC4KMDkpUz5kgSE/8lBMbeweQ4/FFSMj+6ZNlAGscdDvOy/AezSTHhZmKxhsAgvOgvgPa4h/SFwTd7jCcpUSC4IyqH5ilYRMg+XNOR89U+YSdExbvQsYHNRe1gBKXHUzXaQTBDeEjkJAxjqjFtNvoSRWn/mpJaboEgEoQjBwBBowXt0KVJ6rpmA3YFwTp8vXZ76EsC01FnDsEgT3UyZeexHnhk7a2IUTYaSMcpmjI8KAr2QYsfKfyD8D/ePi3WBzoQat/EL/48Edw8OldebZSRiQJuPCfcecj7dj+jlX4xus7DRf90Tsuwenj92pEtCuq9xounyOdEC6ALTsESa1B3d+lMeoQNBYvTsW1guDSIHFfxcXIsFPOJZsATO+r58YucBQ/VvPc+IUaQdAWp36OkHSHciOmANaEtaV+rNSDdJUFNwK7f5d/uVJS41DoDbUBY9PHb73P91LqEMwbF55mx9iFWkGw5xng9IO4sXYXcDqGG2un6mxO/e2VMoLz7cnRCujaKinH2a5kG54d24LPX3oT3vfwb3MNPX72nj/C+3ccQ1wO4I833ITH/mu7UOoFrdcAUAmCfS/Ai61IO4lC68WFp9hatd9cEEwMA7K29IvTGoIA8MrEeo0guCn8JkJSzPR73kRE/f5ix4UBwBvA33T+FdaETuDhD74XLz67L/86FnhlYj3QFMd9u2vwyvj6snRer3S4hiAjINTuip5Bo9eCmi6L9QMP2KofqJCCD2/GtLbhteTkomDSCWD4gGbWjKpZxsxNSGw424G7tlQ1BElkuNY7AaQLq+cmIQMMaS8YZ+R30RsEGjZqZm2wExsm9d2imSCOxJZgL6nzVuOdFONBakhUteQXYsWAiFcrgl0Fu8YFER2wXd+JCoK5bcYHhGLyhTgER9I1wgXeBWHrNSq9SGsdQgDQeLHj8TCFk4EXpxILlBsGtBxEJSJ5cCC6Elj4Tjw7tsXwHxa+E8+Mab+vl1bvy9+cLi7WRrUTGVYjCCZyBpjQfv5Px433eWdC68bP6xB0GBkGgCdGL8v9PZ6J4HfDVzneVpY3Ykuxh3Qnt0wmrrxfhTBxCiuD2sZH9mqJu0DLNbYbeBQVbwRoucbZuqTzqp4guJw6BPM0FFHzh/ELNDXWkI4CB7+K21t+CRy8F7e3/FLz9/+e95D2ZpongD/Quo0VQgZenEwsxEsTm4CGjUoE24x5b9FOp8atO5wpenHhKbZW7QOtz6eBHA8zkDBs8/xEzeuTazTlCXxSGhdWHTZZQ6xVWarYf1wOYE/0PKBqSf6FLXI22QJs+Q4eHbmSxUAD2CHICJxMzFeK5KuK8K4Jn1DqcpgxeVpbVB3OTwIORpdrDsKu1xEcPTTza5Yxcw8qCE5Fo0omCOrElhHrEep+2GFxoAdIaY8bM1IQBJTY8OB018rNdhqLEEHwYGw50vCiL9WI7mQzNqpiZRsjb+JEYqH+dqJasbAQIapiqFuPpOzLRX8kyNgQPoqXJjbmWdFkk+Q7E5MD+S8WCLR2WG6bJC4MTwCDDguC52i+FMB0EfcLIuYn82pWhU5P1bBTuQEaLwbwUmFjYhgdXhzfiP/ZNO3OqveOCS5wARKti2aCmLBYbiGvIBjtFm5cGUeGxU6wSwLdWkGTOASdRoYBpYEILnkHfrTnJ9g5sU6JQRaMhK9234qra17HQp2GIhuvWIvf7j+Y+/v08Yc1oufVNbsUcdcp5x7XTA6na9BRQAzaEd4A/v7MJ3B1zev41hXa9/O3+w9i4xVrNX+r94fRMtm/s2TnGc3PrvdAxwls/OBngaDD5l7kvIvGsSVkRBerDUFwOF2LjsnV2Bxx2Gih5Rolpj0bCM3DkfhibMR0RHtr9X7sjdoU2KM9wKjxb3STbwQrgl2Gj9OGIiPpmoIatkxmwtgXXal5j7dW7ceLJtf11CHotIYhMzNgQZARkOEB6jdpam6sDR3PLwgOkshLsBlnk/McjYFGBlcFTyuuPrcgJ6enEvNnXs0yZu4Rog5BxalQsqYivohQ4BrR7oIEwTW0i3ho/sy9g9e0BTh6X25yaeAc6rxj1iJlA9qOfXsnpx1he6Or8HZMX3BsCh/Bb4a1nT9zkKYidmu4ViTeAA5Gl2tirxsjbxYkCNYTQdBuXFhvndwNMeLSRHhBwTFANF0K4Nu5yZWhTuV76M8vNNL6gacS87HR6cUpw+ThXHIeTsQXYiNU37HuJwGsM14p2qOZVEQ+a+VmhMiwfxiK+2ZqfdJQZDwTETt3q6CCoF9Kab/TxCFYSGQYkIDGC/GrYRPXtwMmM2HDWrN3rbkJ9/+/7bm/f/nQBP667T9zj18QOYxa77htxzQApVzCWW1n6T+MXVCa7rOE4XQtfjP8VnxrzU2a+ff/v+24a2pe9m/1/jBaJvt3lrtU29Wbn13vp/9vO75SwDmSKAhqBe/5/n4EJXJ9VGuvYdQjI29xKAh6gKUfANCZd8mZwsvjG/AevJCb3lq1H9/v+1N7GyGdhMczEUykwwCmnZVbq/bDEOIQdCOu+8rEes17vKXqIDxIG343qfBcysZATOnhyHCF075tO9q3bdedpo9l57lCw2bNJK0HojtGKgg2XAijE7p84zwUXaaxsPuktFKM2+i5bfKD3/1aM00dSXa2Sd+ffNso9D2y8pqzyxTj86H+/OVbRj0Wt8dhtG03yfca3fouWl42sgAA0NE1go6ukVzx9FqPviCY732wMibhM03qCCLWXdB7ILh/ybEn3/jcwuhzTb9Lpt/runWAV3tjgTZa0iXaDUxqT6g7otN3+DtIbHhd+Bi8SItjkTOC00ZpKjLz2Uvq6FnaryZQV+1Intif3vtOL5hrfVmHILnzHzZwc9qhYTMSqq6EEmR8+B+/bbLCNLR+II2hU4p5THUDK79Bbj2P1d85O9sr1rjL9Vuox/Pjm7Qzep5WykMY8NmfPI6OrunSNHaaUPSSZYNSAjVTJQXat23X6TDcBjOxcSRdjbE0cTypm5JMdRnOjreQyLCbOH3/X5lYp3FHeyDjyuo9zp5v9DAweVoza8dUnNTJ96VYWP0eWjmnz7ee3ecWjm+0dnNO8J5aPqi9CTiSrkb7/xHd32bPuXNiPb7V80H88M0FyjlYw2alrvrU/3p/vzqxDtj8VaFUih3MjolO3iM3oHWf5/mGsCxw1mBpg7GQuPCrE2uFG5hZQVB3/EQQHLLQUCTffqCvq9ozaVqOS2wqUoIagkzZYEGQ0adBezK3PNiFkGRWK0zWROUAAI0XOX76qBzCqfgC7cx8kROryBlB4KSdjRmmIiEnhq2+Qfil5FQcUEWxmorojAFRnS5qNnAqCFYkHh/QcIFmltDdVQ/iDoS/FidUxz+1OAgAYU9ccYhRYr1CIepZ0VQEooi1JNCNeu+owdL5qfdpY+pOHIK0pk8uMkwdghEXBEFvQOg+aik2nI7j/NBJzawO2qSEYVxGiKLF+4XPoRpar8pO7dPBVB1kIvBpOg2P0/qB+bqhSmL9uSlR0Ys0kNReKJu5DWcCMTmEnRNa9+bVNa8bLJ2Hc1p3YE+yCW/GC3DHMYJDMCglUO2ZbjNMxaqT8QVw0g32qbGt+OLZ/w1svR/Yej+2dX0697/e3/9w7s+BtmsdvaRK5lRiPhDWXn9utVNXMzkulIDZObEer5Dv2LLgGaHESw6hw3DhYlxfqgHH49pzEaWWoYiEjCAIskNwdsOCIKNP3TpAmrYReyDjPHUXKkKrbwCIk1oljYUVmRU6jbolCE6cFArSc4dhZkZATlJqvRNo0euoWKzIMCA0FqGONDs0eYfR6tPWY5rRgiAgNMAQurvqMUgEwcaLNRHTkXQNUK2tx7pRr6kEiQvDG8Jouir/888AjsUXIZrRdsTbZKdpC4HWEHQjMhySEghKcbGGYGSR7W3rsZs0Crgg8oYS0TNjaG+u9iKgFCc/MFNrdDIzhjPJFqBa+zm73KTbsEbAA9Bn4+IzDS8GiYNGE3cb07qJrTSbOG0gCNI62YBSI2+ms2NMewN/TehEriSJVSRkgHNP6GzXvjjFqAi1gO5DdZ3MZaShyMkEMVMwNpGEBjCm8V5K/0uapisp2YvXJ87HoegywE+EPaPGIzHt9fRA2h133isTGzTTl1bth15zk3rvGDzE0c2C4OyGBUFGH28IqF2jmWVmLd4Q0UYyRtLVQFV7QUMQGgsM7TWNnFiGCIt9qQb024inMEzZoGIcIHTzy0AC/EW8QHHRISi4A301QPUMd+s2agXB+f5+3a6A08jAgPZuMhUV9eZtiuiIYfRuc9iZU6ASycCLfaRJ1UY7TVsIVBB00sFPTwio847r1BB0wSEIYPfk+Zrpeb4hIZ4nQJwKx+KLMDFbCsAzlU3b9ZrJK6r3GgrY9BhpJzKst3x2exIywMRJzWNWBEGh6ciUy5A6iwGPGC+egeyaOF+oR3pVzW5b21gfPiZEHXeMV2b32RmFxwcEtU5/dR1B2lCEusAYB7Rou32vCHYJdU4NIfUD90ZXIyaHlFp98640XTYHaSriVkOPV0hsuNU/IHZRhxgXzsDj6KYpM3NgQZAxhjh11oaMO/3StuwHossBqbALUUEQTI0pHUkLhQiCM7ajKTP38IaEH+WVIa0gMJauAqQiHtpddAgKgmD9xuKOvRTUrhYurDaYONkW+Pt03NU6giCZtyZ0An4pqV2GOgRD+S98ZxI0Or1RTxS1CHX6ODnZncyEkJa1Bbnn+YeEi2JXIsMAOhOtYnSo/2XzlYj7VN2shmGKSut1mslm3zAwItaCBuSiCYLz/f1ARttw4bRJh2HDZcZPwoO0cCMBwcbCGwZVACn4BAHXbmxYWL5mNTot7GvGArp1BAEkx4WUxUlabomxT8NmsWFXn4GbT4UXaaDvBc08TRy/5WrtCoOvo4ok1gAI5xDUAe2U4/GFgtNPLzZMSzgMpOpmxXGOMYbfXcYYIgieFz4JZFK6i64Lax2C+0mtIycMpOuFC1qhI6kTqCBIo8kMU8HQAurUIVj0u3hCU5Ee6EUOrLCWfp9nelwYUATNxos1s3TdfLnHtC63oXStftfmxguh/sn2SymxJhcVBF0SoioFKma1+gZtx9qy1JHO3M6+N5LgLFwd1HHshd26QJOE2DD6XzFcOizFgOEDmnkdLAgypaJ6uRIdVtPzlLiYJyrUwbVTQ1Bv+WwEeSl1vwQaLHXPPR0nN1PkJBb4+9HoI3VLA7OjaRMAYP6NmsmlgXNYErDW/dgvJRUHqMn2mAIw6jQ8pj23yMCDLvqdY+zj8QHNV2jn9Ri4+VSsCx8DUtqbjTvHVa685ksBz3QDH8hpXBQ5pFneizSQ0N4gcUsQBCTBJXipThy6SUcQZGY3LAgyxpDGIiEpAYyJEa15viHhDtV+Eu1yPobNmknBUWSXWK9w0cwOQWYm0Ue6xq4IaTuaFr1mHHUIZhKia8IKyXEsJd3xZoUgCAiCoFLvT180pXXw9kyu1ndX+2uAWm1kVKihRwXB8OxyCJ5OtAnCnZnYaobQZdhhHTA6nvOISDucrgF87kUKBUFw8DX4oH+jTnHuq8psSD4c4htgTKmQJLxAuw13PynEhsWSCpLtIvpGDsHFVBCstnZuOpapEkoCLAmeE2sIBmdH0yYAyu9vUCsmXVWzy9KqF0TeQJWq0QUAYP7bXRoYIwqCw8ofRBDsTLQiqepGzxRAK3XzvQakJvSXnUKoNVi7VjG3ZPFFhLTH1mrtOsoxRnuMdKOpSJZXxrV1BFeFTgMxbROTZiIIcv3A2Q8LgowxgQbx7q5OY491JC48nolYqtFiCbcFwSHtHczJTMhSfIRhKoUeIgiGJG0cquiCYLAZ9KfDvEaeAcP74FGf9Eh+pZnRbIDU+2vyjSjRYIqcEeLE+0gs1my7Qg093RqCswcZHqHTrqUuzsKGMjqCoDNnrSgIaptv9STdFQz20g7B6UnFva+DEKmu34i4HNBdlmGKwQtjm7UzomeB0Tc0s2hDEQSblQirDYwEQVpfjTY6MeMUcQkuDXSjjgqCgVkkCEoeYP4NmllKDDh/AoDGhQ9El+vWPGYcQvalkSB4guPC7tF8uXJemkVOAX0vGi8vy2I3YlKLEIAgNF4cOaS5qUfdeSnZi9GMe+f1+6MrhAZtNA5Nawi6VcOQqVxYEGRMORjN3+l3g079QNdqDRBBsNU3iCbvsPPtkfEfii3jugjMjKI3ZR5RshKHKgjJI9ytdiYI7tFO160BvLNErKhqV6K/KnSFq7GjqPFq68fsnbQuCK4OnQJSyvoepMUGL7PMIQiIsWElcm0zsp4c1YrRAEZSzr431EVET6S7XRYER9I1QI1Ot2EdNpLfZjRdrLscwxSLE4kF6E42a2eS2LDw++FASKKR4UbfKLxIi5HhGuvlbGhjkSWBbjQIDsFZFBkGgAXamG+rb1AsTUFJTQrOKNq1mCkQoYZgNjKsvSnI9QNdxBcRfzONmoAAwNhRtNBjGa0ZCADztCJh2BNTGvJM0UTKEigdht1rDpeCD69NapuG0jg0FSXtdH1nZiashJSZ9m3bLc1zaxvq+fmep33bdp1Ov3tAL77WEdcedXBYfT5dqpdhIhPWzNJzCVrZdvu27cDQHnR0TV+wCYJnvvVNHnP0+lzA6fPa/dwU4zXm26d2lnfynOV6z7LPbXWfqpfrzVNbqRBB0PL3KCyenOq9HtPjEHHr3v0H/ZhLdhtO3jenn9lC1gMASJIg7OlGW0kH2J5kE/oMBN/2bdtx3j+f1TSx8EAGhpROkIpjIKM5vpl1t7XzflUStLFIvXcMi/w2m00llBIXHV0juf3l1CGY7/vmtkMQgFKHSMUFkcPCIrWecSwLkm7HTZe4PxYDSv1ZKvexnDFCGxvu6BpRYsOq80hBEKR1ai1AHYISZLT6B7DQ3zv9vIAthyBtiLEkcA4NQg3B8joEXf/s1axGV0KbDMrbXKTnWQTUDa4kL16kUfEKwO1z2EK3Z2fdt/2b9hjf7B1RbgKOa+u3n0hYqxtc7GNWqa+JCj5nM4IKen0vKDX+9NZXiYUdXSP4/Ukv2r+ic7Mu1IwjsSWaWWpnYePUTcXsMWvItfqB07wyrq0jiMFXEZJiuUmxqUi962NgKgsWBBlTDsbIyVNiEG3+6SLuDV4xCnfArfqBACB5cIiIdk5jw2EpJtjrhdfHMBVOPofgSLEjw4B4t9qmQ9CLNDCsjVbMtu9iB4l2bggfgaSu5wYAAzs1k3toHJQQl4M4HCMNRwaULrItNHbnjYhd8mYB55LNQj0b23UEScHuiUzYdkQxSz4hsTtVfEFwZbALNR5tbaP1Ea07MC4HZk8kn5lRCHUEJzvRHpiudypEhh0IguOZMGIkDr8xfAReKa1d0E5kmJS+WRjoE2przaoaggAgSXhu/ELNrCur9yjikxHnHtNON1+G0UyRkwpzDPqb55XSWBM+AaRjmvkcGXYZGvlNjQlNNHP0amO3SjMRfWffy6Sxx9aq/bnaqvSmg5v1A7O8PrkGGbUElElMJw1kOSdKZuGmIrMfFgQZU84lm4UuamtD04LcenJgnMyEcDzubmdLKhQInUktcn74JGiB9SP04pphKpzeZD5BsAQn4tQhaFMQXB7sAjLarpJU+J/pdExqndK13gm0qzs2ZlLA4C6yjklcOLsMFQ2nRMVW2m03PF+/OcmMRxJcgkKtvHzEtU2wCvnO0Mgw5VwxHIL1m5BQFY6XIAvdqjeHtdMHossBDxebZ0rP0fhiQeRTd6R1IzIMSEJs+OKqg5rpwVSdrZsktL60BxnM92uL78+qLsNTPDemFQTrvOPYTOvVZkkMAf0va+eROoRM4QynazTpAADYEjkoLDOcnn03ActKqEU5fqkQGocASsPKUe37Qbv5ah/TNvZo9g3n4t/0pkMxxLiJTAT7yDnqpdnmJskR+CVtozJuKjL7YUGQyYNk2tiD1g886Gb9QNU21SwNngWS9ruaqoVMAEDdWs1FFcPMBKJyCOMZ466lRa8hCBjXs7GI4PKtXo4xF4smVwK9qSb0EDfnBrVwNXoISGvrB1KhSw9BNBx7EzWeCdEhOMsaiqihdQQ3hI+K7ksziEOwEEFwJGX+uS1KZNgbEEpz0NgwFUmtiM0MUxwkoO06zZzLqjtyf7sRGQbE2DD9DthtIDeZCee/GJ9tDkEAZ5MtOEJEkKuNug13PwnNjXZPUL9uGlMQMjzoT2s/i1uqDmimaRMcxh2osHdJ9X4IdYuJO3AiEzZNy51OtInnBlOR40YvcQimi+POo6/r4sgBxQkc69XMz0AqSmyZqSxYEGTyQwVBlbBGrdP73YwLT3EkvhgpWjeLxA2tIIgQ5HUxzEzBrI5geRyCw7ZWXxsmLt9Z+l2kIswmdWORqahvjurlSsOIPLwRWyrcyFgfPqop5QBgVguCdL9WeyaxnNbLM4MIgvlcfmaYfd9SsrdoUZvdk9rGIptVzVWavMNCKQ+hOzHDlJJWrSC4JNCNxYFueJEW6/I57E5LBcGQlNBM0yYhVqCxYYFZKAgCYlOQS6s6tHUCs5wlceGWq5VmDIzrUAfs4oC2dq7V+oGMPWi9vVbfoKbkAQBBEHxtYi3S0Do6tUhCbDjb2EOM6xZHjKOCYI13Uomhx7Sfq+FUbZ7XwswGWBBk8kMu1hcFelHrHUedd0z4QTJqKFIISdkvWLaFDqV58CKN80KntDNnqQjBzH7M6giOlqGGYL13DH69iwVdZNGtW7/ZlWFVGtTJtj58dLoWExUELTZ8SMGnxD9VbIocwTyfNgY7mwXBgXQ9zibnaebpdnE2IkEiww47DAPmYmJvqrFoXex3T56vmZ7nG8LCKRFwA3FGTWTCrpfyYBhb1K8XxPHLq/ei0TcidPx27BDM03DrdD5xz+Y6GUizsk4rAPxh7ALIqvpnYU8cFxNH2jzfIDCsbQ5GuxQz7pEvtnmc6wcWhZOJBeglNxu2Vk/HhkNSTDifM4sLTy+jjQ1j7A00+4bQWIIaggDQl2rECXJesLXqgOAQ5PqBcwMWBJn81KxWCpKrWBM6IRZW9YZxLL6oKEPQ73ZsneXBLvHuZv3GwgbFMGXCzCE4WororY6DQyi2bsACfx/qvCTy31B5HQndgEaAw544VoU6FfGUXkg1brGxXa3QuDH8Jlr9VBCc3fEh6hK0VUeQOAQLidmbOQTPJZsdbzcfnYlW4UQ9Gxum9b72RVcWTZhkGEtIHqHz7BXVe9FC4sJxOeBYZKMOQYrdyHC+dUbSNYA0O79XQ+k64RhLY8NX1ezWTI9nIkDzZUUf21wl3+f7FAuCRULCK+Na8e4SVR3Bi6oOA7K6y7YPr0+sybvVg9FlwrHuyuo9qPZoS8kUSxAEROFya9U+wSHYx/UD5wSz85eMcRePD2+Q5htrQ8eF+oGo34RMkWzFQgfS4f2a1u/5oHHhzkQrEKh3YWQMU3qMHILRTBDJUtTF9FVhMhPSzLLaWITGhYfStbPWzTacrhUuKDeG38T5oZNARh1n8wCN2kLuZuwlF2qLAr2iIBuZ3Y4wGoFdFz4GH1IGSxOEyLBzQTAuB4UbZlmKUj8whyS4BJUugbLgluT6gUwlQAXB9sBZoRlOX7LecTOkvIJg3L4geNKkLttwynmpgZnAjnFtbHhL5ACqVGLF1TWvax5/fmwzNy4qImYOwQw8ynUNUxR2TqzTTK8KduacdJfQJiONFyMqa8+P9cjAC8y7UjPvHXUvCMsV06FHBcH5/n6hSdAAC4JzAhYEGUtQh97a8Amhw7CdC1q7CB1IM3GlU6lF1pDOxIdis6ujKTO36DPoNFwSd2B2DOTiy7IgSOLCB6PLZ2k3XAVaRmFj+Ki2liAA1J4P+K1fXB6LLxIEWYnG7ma5Q5Du15CUwKrQaWsr08hwgXU3Rwxi+t1FFQSBPbS5SuQIFgd6BHGY6wcylcDB2DIhYk8vgPOJemb0JeuNH0s1WLpIp3QlWgwfG5zlHV1fGt+gqd/tk9K4rHqqfvfYMaGO2o7x4l0DMEC/yee7M9GKFHylG8wcY390JeAj52i9z8GLNLaQbuZotdFUhzTgoV3MY3IAUTloZ6i2OBZfJAqOpFsyR4bnBiwIlon2bdvRvm276eNuP5/V59aDCoKr/v/27j3GibrdA/i37LWwbJe9cF+6wiLIERVfBJGj5NXXLMYbxHgk+gd/YLhIoggxRmMiagTi8XA40fhqRImaeE28G301GvBA4AUUsrAoBxdfFgVkt6zb3W730ulz/tht6UxneplO22n7/SQky1x+nek80/7m6e9S3gZ36VnVslve8pk/wDi6g6OACm1S8qTB1hoiUa2Sorog54FkrqnV8ZWuMu10DHY4vxDt7LUh3uGx0OIdqxXnoh2vKd5Mw6HX1N63xyKS/WY+m+wo8hy04wjOcp7EX7QVyJq5SZUvGBFzvFZ/sBwoHp0X76URr1IRNf5Nwt2GLZxlWG//5t+GBgVPbwtB4LBfPbFIuWMA/zHmG/VGpdVsOWKxdH1OWf0dnmp5Vp+jYAT29qiHatEOH5FKQvCC4lKNexfJTHdhAOiTct3v2+bfujIzgVeGRV5zX3AkDvbOUq1fVDHcKvDsPwBc/KzzBFzhenU6n1+Mlof+TmRbs69n1fZmdejcG6H3n2PERkv2msfaXkERXjii+R49/z0uc/4a7uIbuhaxZtmOeo3aBaqku9ZQd+F0/mDuiB7LUCPe2JWUH5gQpIT83OceGkB52AgEVesHpAQn+qak9yC0sx1rZyo10nsaVUXdqkVRXZCJcsh5gxaCmXxAMdVCsP9C1Oyn+X4vHvU3qh5SSxwBTNO2bk5wQpFIsbqB/hGozutWlyHNmqRoVMtLHUVQgEH1oN2pzDIMAF0GXQfT3ULQq1QMtS6NoO3Gh5prkN4HCqLE7emJPV5sKgnBQSkxvJdPxej6G0+bwb753mUYiJ5t+IqRJ1Bd1AWcVc8u/L89V3Oc0jSLdW/8i+MHpp222zA8B/DX0erJRFr7JwPlxq2KoxSPjNmCP53jB4ZEnZcGuwwXBn56U0L6pDyqNUakn/sa0t9cXTMT6VDXQ9HdVEUzAcmfyui0P6gRpVNP0Al/MLobQXa7DP8ZfyfNRBr+YBl+zfOKbE9wZMzJlhQpAqqSn1QlViXyD4OEcb7RJkVnlv8KKH0x96nUTmgD61sIhmTke6bm2tjrk5ishijdjvqnASVVhuvjzRQcj9H+ZlsIxto337sMA8AB37+p6hoOCO6v+wjwa7oLd7O7cLr1BJ1AkVN33b8G8rseZQcHfbMAR8Rzrgzib5X7VdskMruw1j97jPfJRHfdI/5GoGik4XpOKlIYmBCkhMXqZnvUPy39B6BpIegq6olqbaRLkxAcOg+2mKBc5kC7TjemrkAGWwgm2WUYQNS9eLyvIW0TEdlJrNZ8P/e5gWL9Sn4sbQPjDVvDFEpC8Ki/UdVyvdihAJ3NMffRdlEUONCtGFeGE6GbECypMjVmWdJq4yQEa5gQJPsIoggY91fD9am0EIy1/6kB8y0ETxkkBI1aBueTASnBPp+6m/e/VxxWbzTKHfNHL7KKAyjXH/6BXYbTzy/lQLV6eBft2M3a2YgTcSBGC70LgfT/6DAoJUDdQsP1nQXwwwcxIUhJiNW1L9Z4VpZxTohqPp1Qt2FtQjDPuyhSYdBL+niD2e4yHKfFbtS9WBiT+zT7jROCzaYnfHAYfu4azUKdb/xSjl+0Q1VcOKC/8TBtQrBbGZlyUlo3MZupWZ6rrjCc5fh8YEzezuBNOWz8TYar0pMQdOC3FMbRbDNIJqYyO3kuidv6b8Ji8Ef2DNFJCP6pjEZXisNeUILG3mC46nxgDH410VLTo1ThRH+9wboMTehhdF6l1UMJQ8p7liYE/X4/Vq5cCbfbjcmTJ+ORRx5BMBiMvyPlhKiZfocNSjH+r8+d/gNwOKISCNoZS7VcRd1Ar3rmyZY8nFCECs95nQefbI4hWOoYROUI44mFyhz9gPdn1bJ8nNxHT4t/KoIGX7exWg/GY7Sv0RiT+eiwNqHqiZ0QrNIkBK24Z3TLcGYoIVhUathCv7n30oIYS5JyTPVc9AT1W+Wm2kVOd6Zh50TDpHkihpKJ0Z/fFzL1sJ5lh3svjf05OaEpcwdT6MqjW6ty/MAMijFhyH7f5TCbGDdqWZiJMQQBAHULVb0twpIZD5FymqUJwQ0bNiAYDKK1tRUtLS3YuXMnXnzxRStfgrLoguLSfcg53ufO2C8I2gRCvJmGZ5VrWhAWOfN+zDIqDHpJH6+SuTEEPYHKqApErG7Dl5a3AaJELBmB45n4IcEG+qUMP/c1RK8YUZbSe2A0jmC6Z7e1kyO9mlaSXccwcoTfcHtXsXqCqbQlBEdmrgvdod6ZustjtUwlypoRxdin8wD8pzI65bqkbgvBitSGtBmQEt37OZNDdGRTEEXY3XOV7roT/fXAqDRPKEgXOaNbCPKZJoOc4wy7x8caCzAeo7EHM5YQLKnEUb0eJ2VMCBYKy2aB6OnpwRtvvIG2tjYUFxfD5XLh8ccfx9NPP40HH3zQqpehbBtzFYBjqkUtmRg/cJi2u+/Eknb8T/1/qjsq7nkb2+p/BxDdGgRVswtizDLKf3rdQjOZEAyiaLiycvHue3T8G+jVTnYyfD9WFmlaD1bORL9ET4ySr5p7p0e3aB4zJ6XJmM4N1gy3GOhSLddrPZqvfuqbioAUDY0fCAAI4r/q/xv9wRLVd0Ho7+piLyJ/C7Wiq5V+QjBzYzr96JsB1EYvT6X1KVE67em5En+r/KdqWaoTigAGCcHRFtRRK6YCOBL+bxAOdBu0csxHu7r/gltdu3WX35WF4ylYOi0EzXRTJfP2+y7HtLLf1AuLK/QTagk6NTBheHgPdV3Ok4ExBEP2+y7HFc4T6oU6CWjKT5YlBH/44QdccsklqKm52DJh3rx5OHr0KAKBAIqL1S/V39+P/v7+8P+7uoZuAq/Xa9Uh2U6wv1d3udfrDa9L5O90lZFQecWXosev7gZ+qHOSbrl6ZYSur9njOOl1ocNXDK9PCR9HHU6r9znXhbHB4TgKAl5fZXhbb/EMa9+PFMvQvh/a8mL9P5uxot02dA52ilm9Y0q2DO01ivx8Mns/J3IPJPJ+/A6n6l70+hR4eosQHEzsPdU7L+0xxSvjVPdoeH2d4eOowHloUyPh+1F7L5bMLKiYPdhZj9uc6uuFCZcn9DkQi7dsNnr8P4XLPO8rRbffHp9vmSijD8CPnfXh1uJenwJX4NzQ3xHfBeG/B9Rx+IevNOm41/7tCRRFfS96Ay4E+9tTem8SPY62ntFo664YTnYOOTNQi47ekszVDVhGWsvIxmdkOss4/OcktLtK4Bxx8TmgzTcq5mdyIsdxbrAs+l6U8alfI8fEi99dPgVnekZC6e+zZayko4xj/WNx0uXC2OKhXgBen4JufxC7OmbkRLxlsy6aaL0voWMarImK71+8YxAciC43lfcjdKxm6rPa8nMp7rXnpXduuz2NuN0ZVD2Hep1zMTic0zAdbyPno8ffMvT3cNkdvSUIirlrm+x7s8czDctGac5roMJ21ygdZURe73wTOjeR2GO8OyTeFgl65513sH37dnz77bfhZYODgygtLYXH40F1tbo1y8aNG/HUU09Z8dJEREREREREREQ07PTp05g82XgoG8taCCqKEpV9VJShLjwOnUGtH3vsMaxfvz78/2AwiAsXLqCmpkZ3+3zg9XpRX1+P06dPo7KS03iTMcYKJYsxQ2YwbsgMxg0lg/FCyWLMkBmMGzIjX+NGRNDd3Y2JE2MPLWBZQrC6uhodHR2qZe3t7XA6nXC5ogfFLCsrQ1mZevyoqqoqqw7H1iorK/Mq2Ch9GCuULMYMmcG4ITMYN5QMxgslizFDZjBuyIx8jBu9PJyWZbMMX3311Th+/Dg6Oy/OMrlnzx7MmzcPI0ZYOpkxERERERERERERmWRZpm78+PFYvHgxHn/8cQQCAXR0dGDTpk1Yt26dVS9BREREREREREREKbK06d5rr72GM2fOYMKECZg7dy5WrlyJJUuWWPkSOa2srAxPPvlkVFdpIi3GCiWLMUNmMG7IDMYNJYPxQslizJAZjBsyo9DjxrJZhomIiIiIiIiIiMj+OLgfERERERERERFRAWFCkIiIiIiIiIiIqIAwIUhERERERERERFRAmBAkIiIiIiIiIiIqIEwIanz33XdYuHAhGhsbMW3aNLzwwgvhdYcOHcK1114Lt9uNWbNm4euvv47af9++fZg1axbOnTunWn7gwAFcf/31cLvdaGxsxIcffpjQ8Wzbtg2NjY2YNGkSlixZgo6ODtX6QCCArVu3cjbnLMi1WAlZvHgxFi9enMSZklVyJWb+/ve/o6GhQfWvpqYGs2fPTuHsySy7xU2sMj0eD+6++25MmTIFbrcbzz//fJJnS1YxGzcnT57E0qVLMWPGDNTX12PNmjXw+/3h9WavMesz9pZr8RLCOk325ErMsE5jL3aLG4B1mlyQrrgBzNU/8qpOI6Ry//33y7Fjx0REpLW1VSZOnChffvmleL1emTRpknzzzTciIrJr1y5xuVxy9uxZERH55ZdfpKmpSaZOnSoAwstFRM6cOSPjxo2TnTt3iojIoUOHpK6uTtra2mIey3vvvSdz5swRj8cjgUBAVq9eLUuXLg2vf+utt6ShoUGmTp0qTU1Nlr4PFF8uxUrIvn37pKioiPGSJbkYMyFNTU3y6quvpnT+ZI6d4iZWmSIit9xyi2zcuFGCwaD8/vvv4na75dNPP7XsvaDEmY2bzZs3y2effSYiIl6vV26++WZ59NFHw+Waucasz9hfLsVLCOs02ZWLMRPCOk322CluWKfJHemKGzP1j3yr0zAhGMfDDz8sjzzyiLzyyiuyZMkS1bo77rhDtm3bJiIiP/74o7z88svS29sb9YHyyiuvyF133aXad8OGDbJx48aYr71gwQL5+OOPw/9vb2+XkpIS8Xg8IiKyfft22bVrl+zYsSMngi3f2TlWREQURZH58+fLmjVrGC82YfeYCfn+++9l+vTpMjg4mPQ5kvWyGTexyjx+/LjU1taq4mTr1q1Rx0jZkWjcaH3yySdyzTXXiIj5a8z6TO6xc7yIsE5jR3aPmRDWaewlm3HDOk3usiJuRMzVP/KtTsMuw3G0t7fD5XJh7969WLhwoWrdvHnzcPjwYQDAnDlzsGrVKjidzqgyBgcHoSiKalldXR2OHz9u+LqBQAAHDx5UvWZtbS3cbjeOHDkCAFixYgVuuOEGs6dGFrNzrADASy+9hMsuuwzz5s0zc3qUBnaPmZBnnnkGTzzxBIqLi5M5PUqTbMVNvDL37t2L+fPnq+Ik8ngouxKNG6P9AHPXmPWZ3GTneAFYp7Eju8dMCOs09pKtuAFYp8llVsQNkHz9Ix/rNEwIxrB//358/vnnuPfee3HmzBmMGzdOtX7s2LHweDxxy7n11luxc+dOfPnllxAR/PTTT3j99dcNx0MBhoJVURTU1taaek3KLLvHSnNzM55//nk899xzJs6O0sHuMRPS3NyMI0eOYNmyZUmcHaVLNuMmnlSOh9LLbNx4PB5s2bIFK1asAGDuGrM+k3vsHi+s09iP3WMmhHUae8lm3MTDOo19WRU3ZuRjnYYJQQMffPAB7rzzTrz55pu45JJLoCgKRES1jaIocDgccctqaGjAxx9/jGeffRYNDQ1Yv3497rzzTlRUVBjuE2q5YfY1KXPsHis+nw/33HMPXnzxRdTV1Zk4Q7Ka3WMm0vbt27Fq1SqUlpYmenqUJtmOm3hSOR5KH7Nx09zcjOuuuw7Lli0LPzybucasz+QWu8cL6zT2Y/eYicQ6jX1kO27iYZ3GnqyMGzPysU7DhKCGoihYu3YtnnzySXz99de4/fbbAQDV1dVRLSfa29sxfvz4hMpdtGgRdu/ejVOnToVbZMyYMQPA0Cw1kTNffffddxgzZgxEBJ2dnaZfk9IrV2Jl7dq1uOmmm3DbbbdZcNaUilyJmZCBgQG8/fbbuO+++1I5bUqRXeImnlSPh6yVStzs2LEDTU1N2LRpE5555pnw8nj7sj6Tu3IlXlinsY9ciZkQ1mnswS5xEw/rNPaSjriJp2DqNGkdoTAHrV27VpqamqS7u1u1fMuWLVEDsDc1NcmOHTuiyoDOLEWRAoGATJ48Wfbs2RPzWGbOnBmeFUdkaFbIUaNGic/nU22XKwNW5ptciJWuri4pLy+XyspKcblc4nK5xOl0SnFxsbhcLunr60vgTMkquRAzkZ8vH330kcyePTtmOZR+doqbWGXu27dPxo4dK4qihJdt3rxZli9fnnCZZB2zcfPBBx9IQ0ODnDhxIqpMs9eY9Rn7y4V4YZ3GXnIhZlinsR87xU0k1mnsLR1xEymZ+ke+1WmYEIzQ29srRUVFcu7cuah1p0+flqqqKvn2229FROSLL74Qt9stPT09UdvqPXi1tLSIiIjf75cHHnggoRmKtm7dKnPnzpXOzk7p7++X5cuXy7p166K2y5Vgyye5GisijJdsycWYWbVqlWEcUWbYLW5ilRkMBuXKK6+UTZs2iaIo0traKlOmTJGDBw8mVS6lLpW4WbBggbz77ru65Zq9xqzP2FuuxosIYyZbcjFmWKfJPrvFTSTWaewrXXETKZnvknyr0zAhGKGlpUUcDoe43W7VvxtvvFFERL766iuZMWOG1NXVyYIFC6S5uVm3HL0Hr/nz58vEiROloaFBHnrooagMsh5FUWTDhg1SV1cnEyZMkNWrV+v++pkrwZZPcjVWRBgv2ZKLMXPVVVfJm2++afKMyQp2i5t4Zba2tsqiRYuktrZWpk+fLu+//35SZZI1Uomb0GeCdt/z58+LiLlrzPqMveVqvIgwZrIlF2OGdZrss1vcRGKdxr7SGTchyXyX5FudxiGiGRGRiIiIiIiIiIiI8hYnFSEiIiIiIiIiIiogTAgSEREREREREREVECYEiYiIiIiIiIiICggTgkRERERERERERAWECUEiIiIiIiIiIqICwoQgERERERERERFRAWFCkIiIiIiIiIiIqIAwIUhERERERERERFRAmBAkIiIiIiIiIiIqIEwIEhERERERERERFRAmBImIiIiIiIiIiArI/wMhi75Ji7yWVAAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<Figure size 1600x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 스커트 판매량과 검색지수를 하나의 챠트에 시각화\n",
    "\n",
    "plt.figure(figsize=(16,3))\n",
    "plt.bar(pd.to_datetime(dfcatsales1.datea, format='%Y-%m-%d'), dfcatsales1.qty)\n",
    "\n",
    "# zrmx_scl() 로 변환하면 0~1 범위\n",
    "# 판매량 중 최대값을 곱해주면 판매량과 검색지수가 같은 scale 범위로 나타남\n",
    "plt.plot(pd.to_datetime(df_gt1.date, format='%Y-%m-%d'), zrmx_scl(df_gt1.gt_ladies_skirt)*dfcatsales1.qty.max() , \n",
    "         alpha=0.8, linewidth=3, color='orange')\n",
    "\n",
    "# <주의!!> bar 와 plot을 겹쳐 그리는 경우 plot이 먼저 나타나 순서 바뀜\n",
    "# 순서를 반대로 수정해서 지정 필요\n",
    "plt.legend(['스커트 검색지수','스커트 판매량'])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "051f708c",
   "metadata": {},
   "source": [
    "- 구글검색지수는 주간단위로 제공되므로 일자별 판매량과 결합하기 위해서는 기간단위 일치 필요\n",
    "- datetime 형식일 경우에는 일자 자동일치되어 챠트에 표시됨"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "3a5da2d6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x400 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "-0.05810358521135683"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 월단위로 기간을 통일해서 비교\n",
    "\n",
    "df_gt1['datea'] =  pd.to_datetime(df_gt1.date, format='%Y-%m-%d').astype(str)\n",
    "\n",
    "dfcatsales2 = dfcatsales1.merge(df_gt1, how='left', on='datea')[['datea', 'qty', 'gt_ladies_skirt']]\n",
    "dfcatsales2['dateMon'] = dfcatsales2.datea.str.slice(0,7)\n",
    "# 월평균으로 집계\n",
    "dfcatsales2 = dfcatsales2[['dateMon','qty','gt_ladies_skirt']].groupby('dateMon').mean().reset_index()\n",
    "\n",
    "plt.figure(figsize=(10,4))\n",
    "plt.bar(dfcatsales2.dateMon, dfcatsales2.qty, alpha=0.5)\n",
    "\n",
    "# 스케일이 중요하지 않을 경우에는 시각적으로 차이 패턴이 보일 정도로 일정수를 곱해서 표시해도 무방\n",
    "plt.bar(dfcatsales2.dateMon, dfcatsales2.gt_ladies_skirt/10, alpha=0.5, width=0.5)\n",
    "plt.xticks(rotation=90)\n",
    "plt.legend(['판매수량', '구글검색지수'])\n",
    "plt.title('여성캐주얼 치마 판매량과 검색지수 추이 비교')\n",
    "plt.show()\n",
    "\n",
    "# 두 변수간 상관관계 확인\n",
    "np.corrcoef(dfcatsales2.qty, dfcatsales2.gt_ladies_skirt)[0,1] "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "9f52b133",
   "metadata": {},
   "source": [
    "[**실전적 discussion**] \n",
    "- 당사의 판매량과 구글검색간에 (상당히 약하지만) 음의 방향 관계가 나타나는 이유는? \n",
    "- 계절성 때문인가? (연말 인근에 판매량이 많았기 때문?)\n",
    "- 시차의 문제인가? (검색 증가 후 일정기간 지나고 판매 증가하는 패턴?)\n",
    "- 당사가 시장의 변화와 다른 패턴을 보이고 있는 것인가? (시장 전체적으로는 어떤가?)\n",
    "<br><br>\n",
    "- **<font color='blue'>실제로는 가상 데이터라서 나타난 한계?</font>**"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "486d142d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# zero-max scale (zrmx_scl) 함수는 최대값으로 나눈 값으로 원래값의 척도 변경\n",
    "# X, Y 두축을 비교하기 용이하도록 변경하는 것\n",
    "\n",
    "plt.scatter(zrmx_scl(dfcatsales2.qty), zrmx_scl(dfcatsales2.gt_ladies_skirt))\n",
    "plt.xlabel('판매량지수')\n",
    "plt.ylabel('검색지수')\n",
    "plt.title('여성캐주얼 치마 판매량과 검색지수 관계')\n",
    "varx = zrmx_scl(dfcatsales2.qty)\n",
    "vary = zrmx_scl(dfcatsales2.gt_ladies_skirt)\n",
    "plt.plot(np.unique(varx), np.poly1d(np.polyfit(varx, vary, 1))(np.unique(varx)), \n",
    "         color='grey', linewidth=5, alpha=0.5)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "917b2b69",
   "metadata": {},
   "source": [
    "- 2020 판매가 감소하는 패턴은 검색지수 감소와 같은 방향\n",
    "- 5, 8, 10월 등 야외활동하기 좋은 계절에 적합한 상품을 전개하지 않았기 때문인가?\n",
    "- 또는 당사의 겨울 스커트가 인기를 끌었기 때문인가?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "d2125b2e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1600x300 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 특이값들이 영향을 준 것인지 추가 검토\n",
    "# 특이값 : 소수의 매우 큰 값들\n",
    "\n",
    "plt.figure(figsize=(16,3))\n",
    "plt.plot(pd.to_datetime(df_gt1.date, format='%Y-%m-%d'), df_gt1.gt_ladies_skirt)\n",
    "\n",
    "plt.title('구글검색지수 - [스커트]')\n",
    "plt.axhline(40, color='red')\n",
    "plt.axhline(10, color='red')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "a3c777a1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "0.028055591077024884"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 혹시 검색지수 중 매우 큰 값이 외부 환경의 일시적 특이 사항 때문에 발생한 일인가?\n",
    "\n",
    "# 너무 큰 값들 일부를 임의로 조절후 관계 확인\n",
    "adjSeries = np.where(dfcatsales2.gt_ladies_skirt>40,40, dfcatsales2.gt_ladies_skirt)\n",
    "\n",
    "# 매우 작은 값들을 임의로 조절후 관계 확인\n",
    "adjSeries = np.where(adjSeries<10,10, adjSeries)\n",
    "\n",
    "plt.scatter(zrmx_scl(dfcatsales2.qty), zrmx_scl(adjSeries))\n",
    "plt.xlabel('판매량지수')\n",
    "plt.ylabel('검색지수')\n",
    "plt.title('여성캐주얼 치마 판매량과 검색지수 관계')\n",
    "\n",
    "varx = zrmx_scl(dfcatsales2.qty)\n",
    "vary = zrmx_scl(adjSeries)\n",
    "plt.plot(np.unique(varx), np.poly1d(np.polyfit(varx, vary, 1))(np.unique(varx)), \n",
    "         color='grey', linewidth=5, alpha=0.5)\n",
    "plt.show()\n",
    "\n",
    "np.corrcoef(varx, vary)[0,1]"
   ]
  },
  {
   "attachments": {
    "image.png": {
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"
    }
   },
   "cell_type": "markdown",
   "id": "27efa1dc",
   "metadata": {},
   "source": [
    "- [참고] 실제로는? \n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "97ca190e",
   "metadata": {},
   "source": [
    "- 통상적인 스커트 시즌은 봄 (3~6월)\n",
    "- 가상의 기업 Brookline의 스커트는 시장의 통상적인 스커트와는 많이 다른 특성?\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "attachments": {
    "image.png": {
     "image/png": 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"
    }
   },
   "cell_type": "markdown",
   "id": "036d5b9a",
   "metadata": {},
   "source": [
    "- 개별 구글검색지수 추이 비교\n",
    "\n",
    "![image.png](attachment:image.png)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "92277ae7",
   "metadata": {},
   "source": [
    "- 시장전체적으로는 2020년 스커트에 대한 검색(관심도) 감소와 동시에 판매량도 감소하는 추세였을 것 (양의 상관관계)\n",
    "- 시장의 관심이 줄어든 원인 중 일부는 **젠더 갈등**과 코로나로 인한 **외부활동 감소**로 추측됨"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "901c4d87",
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "id": "2de9fb40",
   "metadata": {},
   "source": [
    "## 추가 연습 과제\n",
    "- 판매비중이 가장 높은 여성캐주얼 바지와 여성캐주얼 셔츠 두 개 상품군의 매출 추이를 비교하고\n",
    "- 이들의 판매량 변화 원인을 설명하는 외부 데이터 (네이버, 구글, 외부 통계)를 확보하고 결합해 분석하라"
   ]
  }
 ],
 "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": "3.10.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}