customer-payment-and-preference-analysis.ipynb

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    "# **Customer Payment and Preference Analysis**\n",
    "\n",
    "In today's competitive business environment, understanding customer preferences and payment behavior is essential for optimizing revenue streams and enhancing customer satisfaction. This analysis focuses on identifying key payment trends and their impact on revenue generation in the context of a retail or service-based business. Specifically, the study aims to analyze transaction data to uncover the following:\n",
    "\n",
    "1. **Most Frequently Used Payment Methods per Outlet**  \n",
    "   By identifying the most popular payment methods (e.g., cash, non-cash, or Barberking Pay), this analysis seeks to understand customer preferences across different outlets. This insight can help businesses streamline operations, tailor promotional strategies, and improve payment accessibility.\n",
    "\n",
    "2. **Average Revenue per Transaction by Payment Method per Outlet**  \n",
    "   Evaluating the average revenue generated per transaction for each payment method provides an understanding of which payment methods are most profitable. By analyzing these metrics, businesses can identify opportunities to maximize revenue and design incentives to encourage the use of higher-revenue payment options.\n",
    "\n",
    "### **Objectives**\n",
    "- To determine the most preferred payment methods used by customers across various outlets.\n",
    "- To compare the average revenue per transaction based on payment methods and analyze factors contributing to differences in performance.\n",
    "- To provide actionable insights for improving payment policies and customer engagement strategies.\n",
    "\n",
    "### **Scope of Analysis**\n",
    "This analysis focuses on transactional data where each unique **OrderNo** represents one customer transaction. The analysis spans multiple outlets and covers payment types including **cash**, **non-cash**, and **Barberking Pay**. The study avoids the deletion of duplicate entries for transactions, ensuring data integrity and accuracy in identifying customer behavior.\n",
    "\n",
    "### **Significance of Analysis**\n",
    "Understanding payment preferences and their impact on revenue is critical for:\n",
    "- Enhancing operational efficiency by aligning resources with customer habits.\n",
    "- Designing targeted promotional campaigns based on payment trends.\n",
    "- Identifying and addressing potential barriers to the adoption of specific payment methods.\n",
    "\n",
    "By leveraging SQL for database querying and Python for advanced data visualization and analysis, this study provides a comprehensive overview of customer payment behavior and revenue dynamics. The findings will be instrumental in shaping data-driven strategies for improved business performance and customer satisfaction."
   ]
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   "source": [
    "import pandas as pd\n",
    "from pandasql import sqldf\n",
    "\n",
    "#load dataset\n",
    "data = pd.read_csv ('/kaggle/input/salesbk/SALESBK.csv')\n",
    "#define lamba function to run query\n",
    "sql = lambda q: sqldf(q, globals())"
   ]
  },
  {
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   "execution_count": 2,
   "id": "4dc6598c",
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Most Frequently Used Payment Method per Outlet\n",
      "               Outlet     PaymentType  Transaction_Freq\n",
      "0         BK01 - ATMI            Cash               444\n",
      "1         BK01 - ATMI       Non Tunai               339\n",
      "2         BK01 - ATMI  Barberking Pay               111\n",
      "3        BK05 - JAKAL       Non Tunai               482\n",
      "4        BK05 - JAKAL            Cash               250\n",
      "5        BK05 - JAKAL  Barberking Pay                62\n",
      "6   BK07 - GAJAH MADA            Cash               392\n",
      "7   BK07 - GAJAH MADA       Non Tunai               349\n",
      "8   BK07 - GAJAH MADA  Barberking Pay               107\n",
      "9     BK09 - PLEBURAN       Non Tunai               417\n",
      "10    BK09 - PLEBURAN            Cash               264\n",
      "11    BK09 - PLEBURAN  Barberking Pay               107\n",
      "12      BK16 - GENTAN       Non Tunai               348\n",
      "13      BK16 - GENTAN            Cash               342\n",
      "14      BK16 - GENTAN  Barberking Pay               172\n"
     ]
    }
   ],
   "source": [
    "#query1 Identify the Most Frequently Used Payment Method per Outlet\n",
    "query1= \"\"\"\n",
    "SELECT Outlet,\n",
    "    PaymentType,\n",
    "    COUNT(DISTINCT OrderNo) AS Transaction_Freq\n",
    "FROM data\n",
    "GROUP BY Outlet, PaymentType\n",
    "ORDER BY Outlet, Transaction_Freq DESC;\n",
    "\"\"\"\n",
    "#run query1\n",
    "most_payment=sql(query1)\n",
    "#show result\n",
    "print('Most Frequently Used Payment Method per Outlet')\n",
    "print(most_payment)"
   ]
  },
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   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Average Income per Transaction by Payment Method per Outlet\n",
      "               Outlet     PaymentType  Transaction_AVG\n",
      "0         BK01 - ATMI       Non Tunai     49899.408284\n",
      "1         BK01 - ATMI  Barberking Pay     47173.553719\n",
      "2         BK01 - ATMI            Cash     41678.175092\n",
      "3        BK05 - JAKAL  Barberking Pay     45513.333333\n",
      "4        BK05 - JAKAL       Non Tunai     43988.011988\n",
      "5        BK05 - JAKAL            Cash     41685.416667\n",
      "6   BK07 - GAJAH MADA       Non Tunai     49993.084371\n",
      "7   BK07 - GAJAH MADA            Cash     42722.222222\n",
      "8   BK07 - GAJAH MADA  Barberking Pay     38596.875000\n",
      "9     BK09 - PLEBURAN            Cash     41311.233886\n",
      "10    BK09 - PLEBURAN       Non Tunai     41301.705757\n",
      "11    BK09 - PLEBURAN  Barberking Pay     38558.139535\n",
      "12      BK16 - GENTAN            Cash     46649.916248\n",
      "13      BK16 - GENTAN       Non Tunai     43621.417798\n",
      "14      BK16 - GENTAN  Barberking Pay     40392.207792\n"
     ]
    }
   ],
   "source": [
    "#query2 Average Income per Transaction by Payment Method per Outlet\n",
    "query2=\"\"\"\n",
    "SELECT Outlet,\n",
    "    PaymentType,\n",
    "    AVG(Amount) AS Transaction_AVG\n",
    "FROM data\n",
    "GROUP BY Outlet, PaymentType\n",
    "ORDER BY Outlet, Transaction_AVG DESC;\n",
    "\"\"\"\n",
    "#run query2\n",
    "AVG_Income=sql(query2)\n",
    "#show result\n",
    "print('Average Income per Transaction by Payment Method per Outlet')\n",
    "print(AVG_Income)"
   ]
  },
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   "outputs": [
    {
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LBw9G4ODBnpg+vRlcXCpKJDMuXx6MwMDxcHGRHFapWzd7BAaOl/iX1xB2hTV79gWIRLNl/jM0/DPfbdPTM2Fmpot16zri6dPRuHVrGBYubAVdXQ2IxWIMGXJYGGYTAOzsymLbtq7499+RuH17GKZObYqco6xt3Hgf5859uiGbmpqBadPOSexTTU0Fc+e2wN27w3HyZF80blwJaWn53+xVlLdv4zFhwgmJsrZtq+L48T7w9x8NP78B6NKlusT6sWOPIzo6/xtjYjFQpYoRDh36Ho8ejcTs2W5SdbZv/zQv1s6d3REYOB7dutlL1HFxqSj1+WjY0KJQx1alijHat68mUbZ27R2J5Rs3QhAUFCMs6+lpoEePmoVqv7hcuBAksfzHH+64d+8HBASMxa1bw7BtW1eMHt0AVaoYSW07c6afxI1uPT0NLF7cGnfvDse//47EmjUdYGSkJax/+PADFiy4ItHGtGnnkJKSLlHWt68DLl8ehKtXB2PIkDoFJl8VQSwWIyQkDtOnn8Px45K9b9XVVSQ+B5aWBhgxoh527uwGP78BePx4FJ48GYXz5wdg4sSGEueiV6+isW/fU2F5/HgXibYPHvSX6P0GSPdiHDTIKd/hMsViwMxMF3v2eOHx41FSw2TGx6fi9u23sLMri5Mn++LBgxHo06e2RJ3AwBipYeEU8f7mFe+ECS548GAEzp7tj5o1JXv6XL78Gm/eZCUlGja0QGDgeFy6NEiqnR07ukl8V3fu7F7gvgsyYIATDAw0hTize2bnvAYaGGgWqlfvvXvv8OeflyXKeveujfPnB8DffzROnuyLZs0shXXp6ZkYOtRXSMAq6jyVlpaJevUq4PTpfrh//weMHt1AYn1mphi7dkkmZBVx/X706IPUEMumpjrYvLkLHj4cge3bu6JCBd0Cv9+5fwdMmOCCW7eGISBgLO7eHY49e7zw44+NULt2OeTzNSm09PRMqKur4M8/PXDv3g/CdTKnly+jJXrtK+J6nVcsADBunDNu3BiKx49HYc8erwKHeM72+HGYVA/ABg3yH95VVh2xOKstRbGw0Bc+u7n99Vcric/25cuDC91ucnIahgw5jIyMTwft4lIRBw70xNOno3Ht2hAMHSrZ23f27AtCQnnChIYIDByPv/5qJdV27u9cfnPnEhEREVHx4ZCPRERUqlhbG6JjRzscPOgPIOtmYtu2VXHmzKfePWPGOOd7czfbqlW3JZb19TVx6dIgoadH7drlYWtbFo0abRDqpKdnYt26O1iwoJWwnNO4cc5wcfl049DBoTw6d66OOXPcER//aQi27CSZlpbkpVZXV+Oz5ktTNBUVEU6e7AsHh/JCWf36WTeyLl9+jXv33gvl6uoqOHu2PypW/JQArFfPHG/exGHr1odC2T//3BJ6s5w5kzU/UU6//eaKadNcheVmzSxhbb20RJ4+37jxHpKTPyVPatcuh6NHewsJCDs7EzRtaokqVZYJT/nHxn7Etm2P8u0RoqIigq9vL9jbZ92Yr1WrHG7eDMXRowFCnYcPP90MzB6WLuf8VkDW5+VzPh/jxrnA1/fTvFebNz/En3+2hKZm1udw927JREnPnjVRpoxkDCUt53dMX18TP/7YGBoan4Yhq1/fHL17ZyVfcn7HPn5Ml+o5sXFjZ4k5kWrWLAdVVRGGDvUVylavvo3Zs90gEokQH/8Rhw75S7Th7m6DLVu+E5YbNaqEsLBEiddVkfKaxyenUaMawNAwZ+JopMx69vamcHOzRkBAlMT8ZxcuBOH777N6ptWtWwFNmlTClStZyavU1Axs2nQfP/2UNVxeVFSyRG9KFRURBg50KjDG1avbo3PnrGT0nDktsHr1bakeGrt2dReGUly+vB127PhXohfOgwfv0bRpVoJHEe9vXr7/vhaWLGkrLG/a1AUNGkjOK/jw4QdUqmSQ73fSzExX4efz3MO3btp0H5MnN8a2bZ8S8oMH1ynU93blylsSyYz27ath27auwrKdnQmaNKkEE5O/hKTyq1fROHnyJTp0sFXYeUpXVwMnT/YV5mhbscITfn5BEj0Wc54fAcVcv3Nel7Lt29cDzZpZCW3Y2ZmgXr21+caf+3fAlClNUb78p6FF69SpIHwuc56jPseCBS0xcWIjYVnWdXLLlofCMJdXrrz57Ot1XiZPboS//motLMsaajIv4eFJUmXlypUpcLvy5aXrRERItyUvNTWVPD/DJiY6cn+v9+17KtHj2tRUB+fODYCOjrpQ1rChBfz9I4Ve7RkZYqxdewcLF7aGoaEWDA21ZM6RV5p+OxIRERF9y5hQIyKiUmfsWGchofbqVTR69twr3BTU09Mo1M3djIxMqSH4une3lxo2rWFDCzg4lJcYkujixU/b1atXQaK3SPv22+HpWQ329iawtS2LmjXLwc6uLEQikcz5QEq7zp3tJJJpOeXuOZSWlgkLiyUFtnnx4qen+W/cCJFaP3iw5NPZ2trq6N27lsT8X8Uld0+DR4/CoKr6e4HbXbwYnG9Czd3dRkimZate3UQioVZQLzdFaNmyMmrUMMWTJ1k3qqOikrFv31P07l0bYrFYxnCPec+LVVLq1TMXvqtxcR9Ru/YqeHjYwNa2LOzsysLBobxwUzjnd+z27bdSPUu8vPYUuL/w8CQ8fRqBGjVMcefOO4meBIDsITCHDKlTbAm1gnz/fS2p3goZGZnYs+cJDh70x8OHHxAaGo/ExFSpY8kWEhIvsTxunIuQUAOA9evvCQm1/fufSvQYbdmyMiwtDfKN0chIS2LuLZFIBGtrQ4mEmoNDeYl5yYyMtGFioiORIMiePxNQzPubl5zDKgJZ39XccsZS0kaPdsbSpTcgFmf17mvffrvwWqioiKR6eOUl9/nu6NEAiESzC9zu4sVghc6l9v33NYVkWrbq1U0kEmo5z4+Kun7fuBEqUb9qVWMhmZatbt0KcHIyw/3775GXevXMJXpK1q+/Dm3aVIGdXVnY2ZmgVq1yqFw5qweton4HFOY6+fhxGBISUqGrq6GQ67Us6uoqUvNWUt5yvw/h4UkoU+aPArcr6H0gIiIiotKDCTUiIip13N1tUKtWOfz7b9YT69n/BYABAxyhr1/wDavIyGSpOXKqVDGWWbdyZSOJG3Jv3366+Tx+fEPs2PGvMH9bZGQytmyRfOq9bFlt9OxZEzNmNBee6C9J48e75Dn0T86h32SpU8csz3WhofF5rstPREQS0tMzoaamItU7TVNTFebmelLb2NhID+dXHEJD4+TarqA5vqpXLytVpq0t+TOroDmMFGXcOGeMGHFUWF679g56966Na9dC8ObNp+O3tzdBo0aVZDWRr4I+U0Xd/s8/PdCq1Rah5+Dz55FS8ylVq2aMIUPqYMKEhkJvO3k/nwDw7l08atQwxYcP0u+rrM9iSX0+s5UrVwZNm1pi2LC6aNtWcnjb8PBEtGu3DXfuvCt0ewkJknMtde1qDwsLfYSEZH0enj+PhJ9fENzcrKV6Meac1zIvlpYGUFWVHEk+Z48MALCxMZTaLr/viCLe37zkTqDljiN3LCWtalVjeHpWExLyOa+Bnp7V8ryW5VZc57uikpWw1NaW/HzkfL0Vdf3Off2R9RnMLs8vofbbb644ceKF0EMqJCQOGzbck6hTsaIe+vVzwJQpTWFgoCWrmUIzMtKS2Ubu85BYDHz4kABdXWOFXK9lqVTJQCoZWhS5h+UEUKje6LLqyOq1VdrI+z4o+jtHRERERMWHc6gREVGpNHasdG8gkQgYO9ZFRu3iY2Kig7t3f8CcOS3g6Fhe5vwokZHJ+Oef23B2XoeYmJLv1WBoqAVra0OZ/wrqWSIrufW5xGIIw4cpYj6ZvGRkSN/wVuSQUDklJ+c/x46sG465EwwlpV8/R4l5pS5cCMbz55FScxQVJlEii6yEdu45yLLJmpsoe36obE2aWOLhw5EYNao+rKxkf14DAqIwZcrZQvVQKozs5F3uuX2U4dKlQcKcOCEhExEXNwUfPkzGvn09pJJpADB+/IkiJdOArPmVclJTU8GoUfUlytatu4uIiCSJOZXKltWWmlNQlpzDUWbLnTiVVae45BzWVZbc31dlfVfzM26c7GvduHF595RVlILOd0Ul+/xYjBeH/+T+3MurWrWyePRoJH7+uTFsbaUfngCyEil//nkF7u6blZqMLaqc12tZPvc3Qo0aplK/A27delvgdjdvStYRibKGeM1P7t8ExfV7oDgo+jtHRERERMWHPdSIiKhU6tvXAVOmnJEYdqt16yp53szKrWxZbWhoqEo85f7yZZTMuq9eRUssV6gg2ctMX18T06e7Yvp0VyQnpyEgIAovXkThzp23WLHiFuLisuZMefMmDj4+9zF+/JczUXx+N5Jz30gzMNDE3bs/FKqHUpkyWb0Pcs4zAwAfP2bg7dt4iXldACAwUPI9kCX3E/SykjW5ezblZm6uJzF0V6tWlbF2bccC962pqVpgndJCR0cdQ4bUwcKF14SyNWtuY+/ep8KyuroK+vVzlKv9ihWlb7Bm9+DMLfd3C/g0v2BOVasaY+XK9li5MmuYyoCASAQERMHPLwgbN94TEl++vs/x4MF7ODqaybzRe/Ro70LN75M9P4+seXoCA6PRuHElqbLiYmGhX+i5cVJTM7Bv31OJMgeH8pg5szns7MoK82qNHXtcYg41WYYPr4fff78o3Ezft+8JatY0lRg2sk+f2hLz2ZUkRby/X7JWrSqjenUT+Pt/Ol/Z25ugZcvKhW7D3FxP4rs5aJATfvuteYHbZZ+/lUVR1+/y5XXx7Nmna0JgYIzMNvIqz8nMTBcLFrTCggWtEB//Ec+fR+Lly2hcu/YGK1feEoZJvXv3HY4efS7MJyiP6OgUxMSkSCWhc5+HRKJP85Ep4noty+cmPsuX14WDQ3k8ePCpF+HDhx9w//57ODnJ7iF/585biV6ZAODoaCYx95qsHnVJSWkSQ24W9HugOOR+H+ztTXDsWJ8CtyuJBDMRERERKUbpexyTiIgIn5ICOeX1xL4sqqoqaNrUUqJsz54nUvNYXb8eIjFcFAC4un6aY+X9+wSJp9y1tdXh4FAeXbvaY948Dwwa5CSxbc5kDQCpm9EF9ZwoTdzcrCWWY2M/4saNkDx7w1lbG+L9+wRERydD9N8j6S4uFaXa3bhRcqis5OQ07Njxr1S93HLfXMz9Wj97FoGzZwORn9zHdO1aCNLSMvI8nkqV9HHnzlthmEFFK67Px5gxzhI36JYvvykxFFqHDrYSNyeLwtS0jFRi+/TplzLniMs9fCCQ1SMtp5xxAYCxsTZcXCzQt68D1q/vJDXHX/b73qCBudSwgocO+ef7+RSJgKdPw4Xh5urVM5e6kblx432pmHMP76YsERFJUkPhzZrVHF272qNmzXKwtjaEkZEW7t0ruAdb2bI66NOntrD88WMGZs3yk6gzZEhdhcQtD0W8v4okK7FYnL1KRCKR1FxvY8Y4C+fWwsh9vjt16iXKlFHP8/UzM9PF+fOBMDWVPDeU9HVMUdfv3NefFy+icOmS5FxVd+++y3e4R0D6HKWnp4l69czRo0dNLFnSFp6e1STW5742yaMw18kaNUyFBJIirtfFZfx46d9uw4b5Sg1FCwDx8R8xbJhvgW3I6vGa+3VfufJWoeJTV5e8JfI53+vc74O/fwTevo3P8z2wsjJAQECkxLyVQMmfb4iIiIio8NhDjYiISq1x41yEnilaWmpo1056+LP8jBxZX2L4svj4VDRr5o1589xRpYox7t59h8mTT0lso6amguHD6wnLCxdexd69T9Cxoy0aNaqEatWMYWiohdTUDNy9+07qBpeurobEcu4bk2fPvsKpUy9RtaoxVFRE0NJSU8q8a4XRpEklODpKPlk+ePBh3LnzDh072sLcXA/Jyel49SoaN26E4PDh53jyJBze3p1Rp04FAICHR2WUL19GYi6b33+/CBUVEdq3t0VYWCJmz74gNdeNLA4O5SWGujtx4gVmz/ZDt241EBgYjUmTTiEzM/8hvgYNcsIff1wSbggnJKTCzc0Hkyc3QuPGlWBsrI3Y2I/w94/ApUvBOHz4Od6/T0Bg4HgYG2sX6fUrjNzzy9y//x779j2Bo6MZ1NRUoKamIrNHV0GsrAzRqZMdDhzwBwCpm3XyDveYc/tffjkjLMfGfkSTJhsxd6477OzK4u3beKxYcQuXLr2W2K5DB1upz3vnzjsBAO3aVUW9ehVgbW0IXV0NxMV9xLFjAVI9FbK/Y5qaahgypA6WL78prFu79i4iI5MxeHAdoddXaGgc7t17j6NHA3D58mv06+eAdu2yboDr62tKvE4AcO5cIPr1O4CRI+tDJMq6se3rm39vr5JiZKQFNTUViSHlFi26BiMjbZiZ6eLJk3DMnXux0PP4jBvnIpEszPk5qV/fXCqZWZIU8f4qkrGxNlRURBLnmNWr78DcXE+Y78rEREfqGvA5BgxwQlBQDMTirN5I/fsXrVfpyJH1JXp4hobGo0mTjfjpp8aoW7cC9PU1ERWVjMePw+HnFwRf3+eIiUnBoEGS54fiOk8VFPvnXr/79nXAX39dlajTrdtuLF7cBo6O5fH4cTgmTTpZYCzjxh3HkyfhaN++GlxcLFC5shH09TWRnJyGixeDcebMK4n6ivgMTJ16FunpmWjdukqe18l+/RyEvxVxvS4u/fs7Yt26u7h2LUQou337LerVW4upU5uiQQNzAMDNm6GYP/8yAgIkeyM2blxJ4lgByDw3DR58CMuWtYOpqQ42bbqP7dsfFSo+U9MyEknTLVseon59c+H3m6GhVqGHrO3a1R4//XQa799nzYkmFgPt22/HxIkN4eFhg3LlyiAhIRUBAVG4du0NDh58hqCgGJw/PwCVK3+aI0/W3HMLFlzB99/XgpZW1i0cCwv9POe+IyIiIqLiw4QaERGVWpUqGWDhwtZyb9+tmz26dbOXGCLt8eNwdOmyK89tZs1qjqpVjSXKgoNjsWLFLaxYUfDTzu3bS97IbdTIQuKmTmRkMtq02SosN29uBT+/gQW2qwwikQgbNnRC8+abkJiY9WR0Sko6Fi26hkWLrhWwdRYNDVX88YcHhgw5LJSlp2di+vTzmD79vFCmo6MucwjHnHr3rg1v7/vCslgMzJp1AbNmXcgRc/7zYlWsqI/Fi9tg5MijQtnbt/GYNOlU3hsVo0aNJIcWTE3NQPfun+YJs7IyQFDQBLnaHjfORSJRlM3cXE/m3FxFMWaMM7ZteyTRO+Tp0wh067Y7z20MDDSxcGErqXKxWIw7d97h9u2C59XR09OQ6IEye7YbTp9+JTEs3r59T6WGRczP3LnuOHYsAB8/fur5tXXrQ2zd+lBYzp3EUhZtbXW0bVtVYjjHK1feoEULH4l6FSro4t27hALbc3Aoj+bNrXDhQrDUusGDnT473s+liPdXUbS01FCnjplEUv/w4Wc4fPiZsOzt3RkDBzopbJ+6uhr46y/5r4H16pnj55+bYMGCK0JZQEAUhg8/UqR2ivM8lRdFXL8dHMqjb18Hie9yeHgS+vU7ILFdYb7fT59GFKrnmZqaCtq0qVJgvfxoaqoiPT0Tv/xyRuLBhZxsbAwxevSn+fQUcb0uLqqqKjh48Hs0b75J4rv8/HkkBg06lO+21aub4MCBnlLDU1taGqBJk0q4cuWNUPb4cTg8PDYLywX9HsjWqJGFxOfs2rUQODuvF5ZnzmyOWbPcCm4IWb9l1q3riC5ddgrD58bEpGDmTD/MnOlXqDaArO+uurqKxEMOs2dfwOzZn37vBAaOL/RwwURERESkOHykiYiIvloikQhbt3bF0KEF98ZRU1PBn396YNo0V7n3N3VqU7RoYSNR1q+fAywtDeRuU9nq1TPHmTP9YWNjWKj6mpqqUk9WDx5cB5Mm5T2vXJ06Zpg7t0WBbbdsWTnfHhoNG1pgzBjnPNdnGzGiPjZs6FToeYJMTHSgrV08zyC1bVsVdesWT+8ANzdrmU/xDxjgmO/ceYWho6OO48f7oHlzq4IrA7C2NsTJk31hZ2ci9z61tdWwZct30Nf/NEeOkZE2zp3rD3d3m3y2/EQkkp7DrUYNU2zb1lVq2K9suroaWLeu4Hn2SsqyZW2l5nnMacYMV7RuXfgb+rKGY9PWVkPv3rVl1C5Zinh/FenXX5sVW9vFZf58D8yd26LQPVlkvX7FeZ7Ki6Ku36tWtZdIwufWpUt19OxZ87NizaaqKsKyZW1RrVrh5nrNi5mZLtav75Tne1auXBkcPtxLqiecIq7XxaVcuTK4eXMoBg50KtR8YaqqIgwY4IibN4fmOTzxihWeEteDnNTVVeDt3blQsf38c5M8z//y6NDBFgcPfg8Tk8K9tnp6GlI94IyNtTFyZH2FxUREREREisMeakRE9FXT0lLDunWdMHJkA2zYcBeXLr3G69exSExMg76+JqpUMYK7uw1GjKgv80nfqVObonHjSrhy5TVu3XqLd+8SEBaWiMTEVJQpowFra0M0amSBQYOc4OJiIbW9gYEWrl4djN9/v4DTp18hNDReag6k0q5hQws8fToau3Y9xqFDz3DnzluEh2fN5aSvrwkbG0M4OZnB3d0G7dtXE4Y/y2nRojZo0cIGf/99Hbdvv0VqagaqVDHG99/XxOTJjQs1hxqQ1QOkQQNzbNhwD8+eRUBVVQU1apiif38H/PBDfcyde7FQ7QweXAedOtlhw4a7OH36FR4/Dkd0dDLE4qwbWdWqGaNBA3O0alUFHh42UFeXns9EEdTUVHD2bH/MnXsRR448R1BQjERPqc81bpwzhg6VnI9m8ODPG+4xm7m5Hs6fH4DTp19h165/cfPmW4SExCE+/iO0tdVhaqqDunUroGNHW/Ts+WmYqtx27eqOixeDceXKGzx8+AEfPiQiPDwR6emZMDDQQrVqxnB3t8EPP9RDpUrSyekKFfRw9mx/nDnzCtu3P8L16yEIDY0XvqMVK+qhVq1ycHW1QseOtrCyMpRqo1u3Grh3zwTz5l3CuXOBiI5OQfnyZdC6dRVMny5/kr042NgY4d69HzB37kX4+j7H27fxMDDQQt26FTB+vAs8Path4MCDhW6vUyc7WFkZIDg4Vijr1q2GzO+xMiji/VWUrl3tcexYb/z99w3cufMW0dEpBQ4zq2wikQjTprmif39HrF9/F+fOBeHZswjExKRAVVUFJiY6sLMrCxeXimjTpiqaNbOUaqO4z1N5+dzrN5CVED97tj9WrrwJH58H8PePgLq6KmrWNMWQIXUweHCdAntJLVvWDl272uPKlde4e/c9PnxIQHh4ElJS0qGnp4HKlY3g6mqFYcPqwt7eVCHHPnCgExwcymPBgiu4cCEI0dEpMDfXQ6dOtpg+3VVqOOlsirheFxc9PU14e3fG9OnNsGXLQ1y4EIznzyMRFZU1N56xsTZsbcvC1dUS/fs7okoV43zbc3Iyw40bQ/H77xdw9mwgoqOTUa5cGXh4VMaUKU1gb2+KgQPzf28BwNm5Ii5eHIQFC67g2rU3iIhIEnqXyatDB1u8ejUOmzc/wPHjL3D//ntERiYjIyMThoZaqFLFGPXqVYCHhw3atq0qc97HJUvaompVY2zZ8hBPn0bInHOOiIiIiEqeSCwuzEAIRERERMVn06b7Ujc1xeKZSorm63HpUjBcXTcJy66uVrhwYaDS4qHSycNjs8R8VefO9ZfqbUtExWPWLD+JofyKYwhNIiIiIiJSDA75SERERPQVio1NwYwZ5yXKOIQU5XbwoD/On/+UTKte3QRubtbKC4iIiIiIiIiolOKQj0RERERfkapVlyE9PRPv3iVIDC9ao4YpvLxqKDEyKi2WLbuBZctuICYmBZGRyRLrfvvNFSJRwXMcEREREREREX1rmFAjIiIi+oq8fBktVaarq4HNm7tAVZWDExAQFZUs83PSq1ct9OpVWwkREREREREREZV+TKgRERERfYVUVUWwsNBH8+bWmD69GapVK6vskKgUMjDQRLVqZfHDD/UwaJCTssMhIiIiIiIiKrVEYrFYrOwgiIiIiIiIiIiIiIiIiEorjvtDRERERERERERERERElA8O+Sine/fuQSwWQ11dXdmhEBEREREREREREVEe0tLSIBKJUKdOHWWHQkRfMCbU5CQWi8HRMomIiIiIiIiIiIhKN97HJSJFYEJNTtk902rXrq3kSIiIiIiIiIiIiIgoL48ePVJ2CET0FeAcakRERERERERERERERET5YEKNiIiIiIiIiIiIiIiIKB9MqBERERERERERERERERHlgwk1IiIiIiIiIiIiIiIionwwoUZERERERERERERERESUDybUiIiIiIiIiIiIiIiIiPKhpuwAiIiIiIiIiIiIiIio9BKLxcjIyEB6erqyQyFSGHV1daiqqha6PhNqREREREREREREREQkRSwWIyYmBuHh4cjIyFB2OEQKZ2hoCDMzM4hEogLrMqFGRERERERERERERERS3r9/j5iYGOjr60NfXx9qamqFSjwQlXZisRhJSUkICwsDAFSoUKHAbZhQIyIiIiIiIiIiIiIiCRkZGYiNjYWpqSlMTEyUHQ6RwmlrawMAwsLCUK5cuQKHf1QpiaCIiIiIiIiIiIiIiOjLkZaWBrFYjDJlyig7FKJio6OjAyDr814QJtSIiIiIiIiIiIiIiEgmDvFIX7OifL6ZUCMiIiIiIiIiIiIiIiLKBxNqRERERERERERERERERPlQU3YAREREREREREREREREOd24cQP9+/eXKNPR0YGNjQ06d+6Mvn37QlVVVUnRKd+NGzdw8+ZNDBgwAPr6+vnW3b9/P6ZOnVqodp2dnbFlyxZFhPjVYUKNiIiIiIiIiIiIiIhKpQ4dOsDV1RVisRhhYWE4cOAA/vjjD7x48QJz5sxRdnhKc/PmTaxYsQLfffddgQm1Bg0a4H//+59E2erVq/Hq1SupchMTE4XH+rUodQm1135+2N2ihcx1va9dg3nDhsJy6NWruPjzz/hw9y409PVh16MHmv3xBzR0dSW2S//4EVd++w1PtmzBx+homDg4oOncubBu1apYj4WIiIiIiIiIiIiIiORXo0YNdO7cWVju3bs32rVrhz179mD8+PFMABVCpUqVUKlSJYmyvXv34tWrVxKvLeWv1M6hVnfcOHhu2SLxz7BqVWF92P372OPhgbSkJLgtXgyHoUPxcO1aHPbykmrrxMCBuLN4Mez79EGLpUuhoqqK/Z6eCLl8uSQPiYiIiIiIiIiIiIiIPoOuri7q1KkDsViMN2/eIDMzE6tWrUKfPn3QpEkT1KpVC25ubpg5cyaio6OF7SIjI1GrVi38+OOPMtudPXs2qlevjpCQEADA8uXLYWdnhxcvXmDevHlo2rQpHB0dMWDAALx69QoAcOrUKXz33XdwcHCAu7s7du3aJbPtq1evYvDgwahfvz5q166Njh07YseOHVL13N3d0a9fP7x8+RLDhw9HnTp1UK9ePYwbNw7h4eFCvSlTpmDFihUAAA8PD9jZ2cHOzg7Lly+X70UFcPr0adjZ2WH37t0y17dv3x6tWrWCWCwGAPTr1w/u7u548+YNRo4ciXr16qFu3boYPXo03rx5I7W9WCzG9u3b0bVrVzg6OqJOnTro168frl+/LnfMJa3U9VDLVrFZM9h1757n+ku//gpNIyP09POD5n/dGfWtrXFq2DAEnToF69atAQDvbt6E/86daP7XX2gweTIAoGb//thUqxYu/vwzel+9WvwHQ0REREREREREREREn00sFiM4OBgAYGRkhLS0NGzYsAGtW7eGh4cHtLW18ejRI+zbtw93797Fvn37oKGhgbJly8Ld3R2nT59GXFycxDCJHz9+xJEjR9C4cWNYWFhI7O+XX36Bjo4OfvjhB0RFRcHb2xtDhw7FuHHjsHDhQnz//ffo1q0b9u7di99++w1VqlRB/fr1he137dqFmTNnwsnJCSNGjIC2tjauXr2KWbNm4fXr1/jll18k9vfhwwf0798fLVu2xM8//wx/f3/s2rULCQkJ2LhxIwCgZ8+eSEhIwOnTpzF16lQYGRkBAOzs7OR+XVu0aAFTU1Ps27cPPXr0kFh3//59vHjxAhMnToRIJBLKk5KS0K9fPzg4OGDSpEkIDg7G9u3b8eDBAxw4cACmpqZC3Z9++glHjx5FmzZt0LVrV6SmpsLX1xeDBw/G8uXL4eHhIXfsJaXUJtQAIDU+Hmra2lBRkwzzY1wcgk+fRr2JE4VkGpCVKDs/cSKe7d4tJNSe790LkaoqHIYPF+qpaWmh9pAhuPTrr4h78wb6ubo6EhERERERERERERGR8iUnJyMqKgoAEBYWhq1bt8Lf3x9OTk6wtraGWCzG5cuXoaWlJWzTq1cv1KlTB9OnT8eZM2fg6ekJAOjRowdOnjwJX19f9OnTR6h/8uRJxMXFobuMTj6mpqZYtWqVkEgyMjLCvHnz8Pvvv+Po0aOoUKECAMDT0xPNmzfH9u3bhYRaWFgY5s6di/bt22PRokVCm3369MHcuXOxadMm9O7dW2I4xuDgYCxZskSIGQBUVFSwfft2vHr1CpUrV0adOnVgZ2eH06dPo2XLllJJQHmoqamha9euWLNmDV68eIGqOUYM3Lt3L1RVVfHdd99JbBMdHY3+/ftj2rRpQlmDBg0wZswYLF++HL///juArN5vvr6++P3339GzZ0+hbv/+/dGjRw/MmzcP7u7uEsm60qjUDvl4YtAgLNPXxxItLexq0QLvb98W1kU8eoTM9HSUz5HlBQBVDQ2Uc3JC2L17QlnYvXswsrWVSLwBgJmzMwAg/P794jsIIiKiImrfvj1EIpHwz9/fX1iXkZGB5cuXw8XFBfr6+lBTU4OJiQlatmyJffv2SbQTEBCAWbNmwc3NDZaWltDU1ISRkRE8PDxw6NChkj4sIiIiIiIiIiK5LF++HI0aNUKjRo3QuXNn7Nu3D+7u7li5ciUAQCQSCcm0jIwMxMXFISoqCg0bNgQAPHz4UGirSZMmsLCwkLqPsnfvXhgaGqJly5ZS++/Xr59Eoic7Webu7i4k0wDA2NgYNjY2CAoKEspOnjyJ1NRUdO/eHVFRURL/3N3dkZmZiau5RtErV66cRDINgHAs2T3ziouXlxdEIhH27t0rlCUlJeHYsWNwdXVF+fLlpbYZnqMzEwC0atUKNjY2OHv2rFB2+PBhlClTBi1btpR4DeLi4uDu7o7Q0FCJ1620KnU91FQ1NFCtWzdU9vSEtokJIp88we2FC7GzWTP0unoV5evUQcK7dwAA3Rwf1mxlKlRA6KVLwnLCu3d51gOAhLdv5Y5VLBYjKSlJ7u2JiIhy2rlzJ44dOyZRlpycLFxrRo0aBR8fH4n1kZGROHv2LM6ePYu///4bw4YNAwDs2LEDs2fPlqibmpqKc+fO4dy5c1iwYAHGjBlTjEdDREREREREVDqIxeJS3/OF8tazZ0+0bdsWIpEI2trasLa2hqGhoUSdY8eOwdvbG0+fPkVaWprEutjYWOFvkUgELy8vLFmyBE+fPoW9vT3evHmDmzdvon///tDQ0JDaf6VcI9xlDxUpq1eYgYEBQkNDheWXL18CAAYOHJjn8UVEROS7PwDC8cbExOTZjiJUqlQJjRs3xqFDh/Djjz9CXV0dx48fR2Jioszee/r6+hLDOmarUqUKzpw5g6SkJOjo6ODly5dITExE48aN89x3ZGQkbGxsFHo8ilbqEmoVGzdGxRwvatVOnWDbvTt8HBxwaepUdD9xAunJyQAAVU1Nqe3VtLSE9QCQnpycZ73s9fJKS0vD06dP5d6eiIgoW0xMDH788UeIRCKoqakJP/5evXqFzMxMxMfHY8uWLUL9kSNHolatWjh06BBOnToFIOuJraZNmwIAwsPDoauri44dO8LZ2Rnp6enw8fHBv//+CwCYOXMmGjduDG1t7RI+UiIiIiIiIqKSJytRQl8GKyurfBMxp06dwsSJE+Hg4IBff/0VFSpUgKamJjIyMjB06FCIxWKJ+t26dcPy5cuxd+9ezJgxA3v37oVYLIaXl5fM9lVUZA/0p6qqWmDs2ftesGABypUrJ7NO7gRafu3mPpbi0KNHD4wfPx7nzp1DmzZtsHfvXpiamsLNzU3uNsViMYyNjSWGvcytWrVqcrdfUkpdQk0Wo6pVUbVzZwTs34/MjAyo/XfzL+PjR6m66SkpwnoAUNPWzrNe9np5qaurS4wjSkREJK/BgwcjJiYGgwcPxpkzZ/D69WsAQOXKlWFnZ4eQkBBkZmYCAExMTLBw4UIAgLOzs5BQU1NTg729PYCsp7d++eUXGBsbC/vo2bMnKleujPT0dKSkpCAzM1OoT0RERERERPS1evHihbJDoGJ06NAhaGpqYvPmzRIPDmf3DsvN1NQULVq0gK+vL3788UccOHAAjo6OxZLQsba2BpA171p+SUF5FFevSw8PD5QtWxZ79+5FtWrVcPfuXQwbNgxqatLppLi4OISHh0v1Unv58iXKli0LHR0dAFlJ0aCgIDg6OqJMmTLFEndJ+CISagCgV6kSMlJTkZaYKAzhmD30Y06J795B19xcWNatUAHxObpY5qwHQKJuUYlEIuEDQUREJK8TJ05g165dMDc3x+LFi+Ho6Cis09bWho6ODqpVq4aqVavixYsXiIiIwJIlS+Di4oL169cLdfv16ydcl7J7quWko6MDIyMjhIeHA4DEDxsiIiIiIiKirxWHe/y6qaqqQiQSCQ8iA1k9olatWpXnNl5eXjh9+jRmzpyJDx8+YOzYscUSW7t27bB48WIsX74cLi4uwlxv2eLj46GpqSlXD8rsezqxsbEyh5+Ul7q6Or777jts3LhRmKdO1nCP2dauXYtp06YJy6dPn0ZgYCB69uwplHXp0gXnz5/H4sWLMWPGDKk2IiIiYGJiorBjKC5fTEIt5tUrqGlpQUNXFya1akFFTQ0fbt9G9R49hDoZqakIu38fdjnKTJ2c8Pr8eXyMi4Pmf2ObAsC7GzeE9URERMqSkJCAESNGAAD++ecfGBgYyKwnEolw4MAB9O7dG48ePcL06dOFdWXLlsWcOXMwcuTIfPd16dIlIZlmbW3N3mlERERERERE9MVr06YNTp48iQEDBqBLly5IT0/HmTNnkJzPdE/NmjVDxYoVcfjwYejo6MDT07NYYjMzM8OsWbMwffp0eHp6olOnTqhYsSKioqLw/PlznDlzBkePHpUrIZb9QPbChQvRsWNHaGpqolq1arC1tf3suHv06IENGzbgyJEjcHZ2Fnra5WZkZITTp08jLCwMzs7OCA4Oxvbt22FiYoIxY8YI9dq2bYuuXbti69atePz4MVq0aAEjIyO8f/8e9+/fR3BwMM6ePfvZcRc32YN/KlHSfzf6cgp78AAvDx+GVevWEKmoQNPAAJYtW+LJ1q1IjY8X6j3ZsgVpCQmwyzHWqV337hBnZODh2rVCWfrHj/jX2xsVXFygL2OCPyIiopIybdo0BAcHw8vLC507d863rpGREWrUqCFVHhkZiT179uDDhw95bhsYGIg+ffoAyErOLVu2LM8xwImIiIiIiIiIvhTt27fHnDlzkJSUhAULFmD9+vWwsbHBhg0b8txGRUUF3bp1A5DVi6w4hyHs1q0btm7dCnt7e+zatQuzZ8/Gli1bEBYWhvHjx0sNl1hY9erVw+TJk/H69WvMmDEDkyZNwsmTJxUSs5WVFVxcXIT486Kjo4MtW7YgNTUVixYtwp49e9CsWTNs375das64+fPnY8GCBVBRUcGaNWswZ84cHDx4EDo6Ovjxxx8VEndxE4lLYha7Itjl7g41bW1UbNwYOuXKIfLJEzxYuxaq6urofe0ayv73NP2Hu3exvXFjlK1RAw7DhyMhJAS3Fy2Chasruuf60Bzu0QMvDhxAvYkTYVi1Kh77+OD9zZvwOnsWlVxd5Yrz0aNHAIDatWt/3gETEdE3y9/fHzVr1oSBgQGePn2K8uXLA8jqPRYcHAwAePr0KapXr460tDTUrFkTAQEB0NTUxLFjx+Di4oI1a9YIPzpatWolzKeW09OnT9GqVSuE/jcE8rJly4ptKAMiIiIiIiKi0ob3cuWTkpKCwMBA2NjYSA1V+DVYt24dFi5ciJ07d6JOnTrKDqfUGTZsGO7fv49Lly7JfP/79euH0NBQnDt3TgnRKU5RPuel7tH0al26IDkiArcXL8aZUaPgv2sXbLt2Rd/bt4VkGgCUr1sXXmfOQE1bG34TJ+LB2rWoNWQIOu3dK9Wm5+bNqDthAp5s2YJz48YhMy0N3x05IncyjYiISBHev3+PzMxMREdHw8zMDCKRCCKRSEimAYC9vT2cnJzg5+eHgIAAAIC7uzvc3d1RpkwZTJo0SRgz+/Tp00hKSpLYx71799C8eXOEhoZCJBJh5cqVTKYRERERERER0TctPT0du3btgq2tLZNpMgQHB+Py5cvo1KnTV5lMlVepm0Ot7rhxqDtuXKHqWjRtit5XrhRYT01LC25//QW3v/763PCIiIiUIiIiQvg7ISFB+DslJQVpaWkS67ITbFevXoWnpydiY2OhpqYGb29v9O3bt+SCJiIiIiIiIiIqRd68eYP79+/j7NmzePPmDRYvXqzskEqVBw8e4OXLl9iyZQvU1dUxaNAgZYdUqpS6hBoREdG3omrVqliyZIlU+e+//47o6GgAwNSpU1GzZk3UrFlTWH/p0iXMnTsXzs7O2LRpk5BQMzc3F8bdvnz5Mtq2bYvExEQAwIQJE2BtbY3Lly8L7dSuXRsGBgbFdnxERERERERERKXJrVu3MHXqVBgZGWH06NFo3769skMqVXbs2IGDBw+iUqVKWLhwISwsLJQdUqlS6uZQ+1Jw3F0iIiousuZQA4CePXti9+7deW7n4+OD/v37AwBmzZqF2bNn57uf8+fPw83NTTFBExEREREREZVSvJcrn699DjUi4AufQ42IiIhk27ZtG/7++284OztDT08PqqqqKFu2LNq2bYvjx48LyTQiIiIiIiIiIiJSLPZQkxOfaiAiIiIiIiIiIiIq/XgvVz7soUbfAvZQIyIiIiIiIiIiIiIiIlIQJtSIiIiIiIiIiIiIiIiI8sGEGhERUSFlZmYoO4QvAl8nIiIiIiIiIiL62qgpOwAiIqIvhYqKKlZcmofQ2NfKDqXUqmhgiTHNpik7DCIiIiIiIiIiIoViQo2IiKgIQmNfIygqQNlhEBERERERERERUQnikI9ERERERERERERERERE+WBCjYiIiIiIiIiIiIiIqASEhITAzs4OGzZsUHYoVEQc8pGIiIiIiIiIiIiIiL5Zr1+/xvr163HlyhWEhYVBXV0dtra2aNeuHXr27AktLS1lh0ilABNqRERERERERERERET0TfLz88P48eOhoaGBzp07w9bWFmlpabhz5w7++usvvHjxAnPmzFF2mFQKMKFGRERERERERERERETfnDdv3mDixIkwNzeHj48PypUrJ6zr06cPgoOD4efnp7wAqVThHGpERERERERERERERPTNWb9+PZKSkjBv3jyJZFo2KysrDBgwAACwb98+9O/fH40aNUKtWrXg6emJ7du3S23z6NEjDBkyBC4uLnBwcIC7uzumTp0qc/+7du1Cy5YtUatWLXTr1g0PHz5U7AGSQrGHGhERERERERERERERFUrG8yBk3HwEcWSsskOBqKwBVJ1rQ9XWWq7tz58/j0qVKqFu3boF1t2xYweqVasGd3d3qKmp4fz585g9ezbEYjH69OkDAIiMjMSQIUNgZGSE4cOHQ19fHyEhITh9+rRUe0eOHEFiYiJ69uwJkUiE9evXY+zYsThz5gzU1dXlOh4qXkyoERERERERERERERFRgTKeByFt7V4gM1PZoQAAxMFvkXn/GTDcC6q2VkXaNiEhAR8+fICHh0eh6m/duhVaWlrCct++fTFkyBB4e3sLCbV79+4hNjYWGzZsQO3atYW6EydOlGrv7du3OHXqFAwMDAAANjY2GDVqFC5fvowWLVoU6VioZHDIRyIiIiIiIiIiIiIiKlDGzUelJpkmyMxExs2iD5WYkJAAAChTpkyh6udMpsXHxyMqKgrOzs548+YN4uPjAQB6enoAAD8/P6SlpeXbnqenp5BMA4D69esDyJrXjUon9lAjIiIiIiIiIiIiIqJviq6uLgAgMTGxUPXv3LmD5cuX4/79+0hOTpZYFx8fDz09PTg7O6NNmzZYsWIFNm3aBGdnZ7Rs2RIdO3aEhoaGxDYVKlSQWM5OrsXFxcl7SFTM2EONiIiIiIiIiIiIiIgKpOpcG1ApZWkFFRWoOjsUeTNdXV2UK1cOAQEBBdZ9/fo1Bg4ciOjoaEyZMgVr166Ft7c3Bg4cCADI/K/XnkgkwrJly7Br1y707dsXHz58wK+//oquXbtKJe5UVVVl7kssFhf5WKhksIcaSWnfvj2OHTsmLD99+hTVq1eXqhcYGIjatWsLJwIXFxdcv349z3b/97//4ZdffhGWV61ahREjRigwciIiIiIiIiIiIiIqLqq21sBwL2TcfAhxZKyyw4GorAFUnR2KPH9athYtWmDXrl24d+8e6tSpk2e9c+fOITU1FatWrYK5ublQfuPGDZn1nZyc4OTkhIkTJ8LX1xeTJ0/GsWPH4OXlJVecVDowoUYStm3bJpFMy88PP/xQ6O6wL168wKxZsz4jMiIiIiIiIiIiIiJSNlVbK7kTWKXN0KFD4evri+nTp8PHxwcmJiYS61+/fo3z588Lvcly9h6Lj4/Hvn37JOrHxsZCX18fIpFIKLO3twcApKamFtdhUAlhQo0EERERmDBhAkQiEdTV1fP9gvv4+OD06dPQ0tJCSkpKgW0PHz4cycnJha5PRERERERERERERFScLC0tsXDhQkycOBGenp7o3LkzbG1tkZqainv37uHEiRPo2rUrBg4cCHV1dYwYMQLff/89EhMTsWfPHpQtWxbh4eFCewcOHMCOHTvQsmVLWFpaIjExEbt374auri5cXV2VeKSkCKVssFNSpgkTJiAiIgLDhg2TmhAxp7CwMEyaNAkikQjTp08vsN3169fj/PnzqFWrFrp27arIkImIiIiIiIiIiIiI5Obh4YHDhw+jTZs2OHv2LGbPno1FixYhNDQUU6ZMwfTp01G5cmUsW7YMIpEICxYswM6dO9GjRw/0799foi1nZ2fUqlULx44dw9y5c7F+/XpYW1vDx8cHlSpVUtIRkqKwhxoBAE6cOIFt27bB3Nwc//vf/3Dy5Mk8644bNw5RUVEYPXo0mjRpkm+77969w08//QQVFRWsX78eq1atUnToRERERERERERERERys7a2xpw5c/Kt4+7uDnd3d6nybt26CX/XqFEDixYtyrcdCwsLPHv2TOa6vMqpdGAPNUJCQgJGjBgBAPjnn39gYGCQZ11fX1/s2rULlSpVwvz58wtse8yYMYiJicG4cePg4uKisJiJiIiIiIiIiIiIiIhKChNqhGnTpiE4OBheXl7o3LlznvXi4+MxatQoAMDq1auhp6eXb7sHDhzA/v37YW1tjblz5yo0ZiIiIiIiIiIiIiIiopLChNo3zt/fHytWrICRkRGWL1+eb9358+cjJCQEvXr1gqenZ4Ftjx49GgCwZs0alClTRiHxEhERERERERERERERlTQm1L5x79+/R2ZmJqKjo2FmZgaRSASRSITg4GChjr29PZycnPD27VsAwI4dO4R6LVq0EOrduHEDIpEIf//9N4Cs+dMAoE2bNkJ9Hx8fof7IkSMhEokQExNT/AdKREREREREREREREQkJybUiIiIiIiIiIiIiIiIiPKhpuwASLmqVq2KJUuWSJX//vvviI6OBgBMnToVNWvWhKmpKZycnCTqvXjxAitXrgQAWFlZYcKECWjevDkAyGx3+/btuHXrFgDAy8sLjRs3hra2tiIPiYiIiIiIiIiIiIiISKGYUPvGWVhYYMKECVLlf//9t5BQ69+/P6pXrw4AaN26tUQ9Pz8/IaFmZmYm0Zasdu/fvy8k1Nzd3TFixAgFHAUREREREREREREREVHx4ZCPRERERERERERERERERPlgDzWSKSgoqFD13NzcIBaLC93upk2bsGnTJvmCIiIiIiIiIiIiIiIiUgL2UCMiIiIiIiIiIiIiIiLKBxNqRERERERERERERERERPlgQu0LIs7MVHYIXwy+VkREREREREREREREihMSEgI7Ozvs379f2aEoBedQ+4KIVFQQvf8U0iOilR1KqaZmYgSjrq2VHQYRERERERERERERlVL79+/H1KlToaGhgTNnzqB8+fIS6/v164fo6GgcOXKkxGKaMmUKDhw4UGC97777Dn/++WcJREQ5MaH2hUmPiEb6+3Blh0FERERERERERERE9MVLTU3F2rVrMWPGDGWHgp49e6JRo0bCckhICJYtW4aePXuiXr16QrmlpaUywkPFihXx8OFDqKl9m6mlb/OoiYiIiIiIiIiIiIjom2dvb4/du3dj+PDhUr3USlqdOnVQp04dYfnRo0dYtmwZnJyc0LlzZyVGlkUkEkFTU1PZYSgN51AjIiIiIiIiIiIiIqJv0g8//IDMzEysW7euwLrp6elYuXIlWrZsiVq1asHd3R2LFy9GamqqRD13d3f88MMPuH37Nrp3747atWvDw8MDBw8e/Ox4ly9fDjs7O6ny/fv3w87ODiEhIUWOIyYmBgsWLEDHjh1Rp04d1K1bF0OHDoW/v79EPc6hRkRERERERERURO3bt8exY8eE5adPn6J69eoAgAsXLmDz5s24evUqnj17BrFYDAA4f/483NzcJNpxc3PDhQsX8t2Xt7c3Bg4cqND4iYiISD4Pwm/g3OvDeJ8UUnDlYmamYwF3y05wNHWRuw0LCwt07twZu3fvxrBhw/LtpTZ9+nQcOHAAbdq0waBBg/Dw4UOsWbMGL1++xMqVKyXqBgcHY/z48ejevTu+++477Nu3D1OmTEHNmjVRrVo1ueMtqsLE8ebNG5w5cwZt27aFhYUFIiIisGvXLvTt2xdHjx5Ves+90oIJNSIiIiIiIiIqkm3btkkk03I7cOAANm7cqLD9qaurK6wtIiIikt+D8BuYc30sMsTpyg4FAPA8+hGuvD2N3xouh8NnJNVGjhyJQ4cOYd26dZg+fbrMOv7+/jhw4AC8vLwwd+5cAECfPn1gbGyMjRs34vr162jYsKFQPzAwENu2bUP9+vUBAO3atUPz5s2xf/9+/PLLL3LHWlSFicPOzg4nT56EisqnQQ07d+6Mdu3aYe/evRg9enSJxVuacchHIiIiIiIiIiq0iIgITJgwASKRCBoaGjLrlC9fHt27d8eiRYtga2ubb3vLly/HpUuXJP4dPnwYIpEIAKClpYW2bdsq/DiIiIio6M69PlxqkmnZMsTpOPv68Ge1UalSJXTq1Am7d+9GWFiYzDrZPeoHDRokUT548GCJ9dmqVq0qJLEAwNjYGDY2Nnjz5s1nxVpUhYlDQ0NDSKZlZGQgOjoaOjo6sLGxwZMnT0o03tKMPdSIiIiIiIiIqNAmTJiAiIgIDB8+HCdPnkRwcLBUnalTpwp/7969O9/2ateuLVW2aNEiYZjInj17omzZsp8ZNREREVH+Ro0ahcOHD2Pt2rUye6mFhoZCRUUFlpaWEuWmpqbQ19dHaGioRHmFChWk2jAwMEBsbKxiAy9AYeLIzMzE5s2bsX37doSEhCAjI0NYZ2hoWBJhfhHYQ42IiIiIiIiICuXEiRPYtm0bzM3N8b///a9Y9iEWi7F69WphmUMMERERlR7ulp2gKipd/XRURWrwsOz02e0UppcaAKEXfYFxqap+dkxF2X/OJFhR41i9ejXmz5+P+vXr46+//sKGDRvg7e2NatWqCQ85EXuoEREREREREVEhJCQkYMSIEQCAf/75BwYGBsWyn1OnTuHFixcAgAYNGqBBgwbFsh8iIiIqOkdTF/zWcDnOvj6M90khyg4HZjoW8LDs9Fnzp+U0cuRIHD58GOvWrZNaV7FiRWRmZiI4OBhVqlQRyiMiIhAXF4eKFSsqJIaC6OvrAwDi4uKEvwHg7du3crd58uRJuLi44I8//pAoj4uLg5GRkdztfm2YUCMiIiIiIiKiAk2bNg3BwcHw8vJC586di20/K1euFP5m7zQiIqLSx8HURWEJrNLG0tISnTp1wq5du2Bubg41tU8plObNm2Px4sXw8fHB77//LpR7e3sL60sqRgC4desWPDw8AABJSUk4ePCg3G2qqqpK9UQ7fvw4Pnz4ACsrK7nb/dowoUZERERERERE+fL398eKFStgZGSE5cuXF9t+Xr9+jaNHjwIAypYti549exbbvoiIiIhkGTFiBA4dOoTAwEBUq1ZNKK9evTq+++477Nq1C3FxcWjQoAEePXqEAwcOoGXLlmjYsGGJxNekSROYm5tj2rRpePXqFVRVVbFv3z4YGRnJ3UvNzc0NK1euxNSpU1GnTh08f/4cvr6+qFSpkoKj/7JxDjUiIiIiIiIiytf79++RmZmJ6OhomJmZQSQSQSQSITg4WKhjb28PJyenz9rP6tWrkZmZCQAYMmQItLS0Pqs9IiIioqKysrJCp06y52SbO3cuxo4di0ePHmH+/Pm4fv06fvjhByxZsqTE4lNXV8eKFStgaWmJpUuXYsuWLfDy8kLfvn3lbnPEiBEYPHgwLl26hHnz5uHx48dYs2YNKlSooMDIv3wiMWeUk8ujR48AALVr1y7R/Yav3YX09+Elus8vjZqZKUyH8ylGIioeU4/8gKCoAGWHUWpZG1fD/A5rlB0GERERKZifnx9atGhRYD1HR0fcv39foqxhw4a4ceMGAOD8+fNwc3OTuW1qaioqVaqEsLAwqKio4OXLl7C2tv7MyImIiJR3L/dLl5KSgsDAQNjY2PAhF/pqFeVzziEfiYiIiIiIiChfVatWlfnk9e+//47o6GgAwNSpU1GzZk0AwJMnT/DkyRMAQFRUlFD/woULiIiIAAB0795doq09e/YgLCwMAODp6clkGhERERGVKkyoEREREREREVG+LCwsMGHCBKnyv//+W0io9e/fH9WrVwcA7N69G7Nnz5aqP2vWLOHv3APm/PPPP8Lfo0ePVkDURERERESKwznUiIiIiIiIiEipHjx4gKtXrwLI6g3Xpk0bJUdERERERCSJCTUiIiIiIiIikktQUBDEYjHEYrHQOw3I6omWXZ7Xv5wcHR2F8oCAAIhEopI+FCIiIiKifDGhRkRERERERERERERERJQPJtSIiIiIiIiIiIiIiIiI8sGEGhEREREREREREREREVE+mFAjIiIiIiIi+spkZmYoO4QvAl8nIiIiIiosNWUHQERERERERESKpaKiihWX5iE09rWyQym1KhpYYkyzacoOg4iIiIi+EEyoEREREREREX2FQmNfIygqQNlhEBERERF9FTjkIxERERF9ER49eoS+ffvC3t4ehoaGUFdXh4mJCTw8PLB9+3ap+nv37oWrqyv09fWho6MDR0dHLFu2DBkZksN7vXv3DgsWLECbNm1gY2MDbW1t6OnpoVGjRvD29i6pwyMiIiIiIiKiUowJNSIiIiL6Ijx48ADbtm2Dv78/YmNjkZ6ejsjISJw7dw59+vTB/PnzhbozZ86El5cXLl26hPj4eCQnJ+Phw4cYP348+vXrJ9HuhQsXMGXKFJw6dQpBQUFISUlBQkICrl+/jsGDB2PChAklfKRERERERET0tQkJCYGdnR02bNhQIvtbvnw57OzsEBUVlW+9KVOmwN3dvURi+tIxoUZEREREXwRjY2MMGzYMW7ZswZkzZ7B79240atRIWL9s2TIAQEBAAObOnQsAKFOmDNauXYtDhw6hRo0aAIAdO3Zg7969Em1raWlhyJAh2LdvH44cOQJPT0+Jdl+9elXch0dEREREREQlaP/+/bCzs5P416hRI/Tr1w8XLlxQdnjfhH79+km8/s7OzujWrRv27t2LzMxMZYcnhXOoEREREdEXwdPTUyLRBQDVqlVDnTp1AADx8fEAgFOnTgk/vL28vDBs2DAAQHJyMr7//nsAwJo1a9C9e3cAgKOjIwICAmBhYSG027JlS1hZWeHDhw8Qi8W4ffs2KleuXLwHSERERERERCVu3LhxsLCwgFgsRmRkJA4cOIDhw4dj9erVaNGihbLDK3Zz5syBWCxW2v7NzMwwadIkAEB0dDQOHjyIadOmISgoCJMnT1ZaXLKU+h5q1+fNw0KRCN61akmtC716FTuaNsXfOjr4x8wMZ8eNQ2pCglS99I8fceGXX7DK3Bx/a2tjq4sLgk6fLonwiYiIiKgYZGZm4u3bt1izZo1Qlv0/OrGxsUJZmTJlZP597do1Ielmb28vkUwDAE1NTVhaWsrcloiIiIiIiL4erq6u6Ny5M7p06YIhQ4Zg27ZtUFdXx5EjRxTSfmZmJj5+/KiQtgojKSmpSPXV1dWhoaFRTNEUTE9PD507d0bnzp0xcOBA7NixA2ZmZti2bRvS0tKUFpcspTqhFh8Sgut//AF1GTcwwu7fxx4PD6QlJcFt8WI4DB2Kh2vX4rCXl1TdEwMH4s7ixbDv0wctli6Fiqoq9nt6IuTy5ZI4DCIiIiJSoIYNG0JVVRUVK1bE6tWrIRKJ0KFDB2Ecejs7O6HuwYMH4e/vj+joaKxevVooT0xMRHR0dJ77CAwMxL179wAAurq6aNasWTEdDREREREREZUm+vr60NTUhJqa5AB/GzZswPfffw8XFxc4ODiga9euOHHihNT2dnZ2+P3333H48GG0b98etWvXxqVLlyTqbNq0CS1atICDgwP69u2L58+fS7Xz8uVLjBs3Ds7Ozqhduza6du2Ks2fPStTJHrby5s2bmDVrFho1aoTmzZvneWyhoaFo1aoVOnTogIiICADSc6jlnOtt165daNmyJWrVqoVu3brh4cOHUm0eP34cnp6eqF27Njp06IDTp09/1rxs2tracHR0RFJSEqKiohAaGopZs2ahTZs2cHBwgIuLC8aNG4eQkBBhmzdv3sDOzg6bNm2Sau/u3buws7NTSIK0VA/56Dd5MswbNkRmRgaS/3tzs1369VdoGhmhp58fNPX1AQD61tY4NWwYgk6dgnXr1gCAdzdvwn/nTjT/6y80+K97YM3+/bGpVi1c/Pln9L56tWQPioiIiIgUSkVFBWpqakKPs44dO8LW1hbPnz9HaGgo7O3tZW6XkpIiszwyMhJdunRBeno6AGD+/PnQ/+/3JhERERER0bfu1rtUHHv5EW8TlD/HlbmuCjyraKJBBfl7WCUkJCAqKgpA1v8PbtmyBUlJSejUqZNEvc2bN8Pd3R0dO3ZEWloajh49ivHjx2PNmjVwc3OTqHv9+nUcP34cffr0gZGRESpWrCisO3jwIBITE9G7d298/PgRW7ZswYABA+Dr6wsTExMAWXOD9+rVC+XLl8ewYcOgo6OD48ePY/To0Vi+fDlatWolsb/Zs2fD2NgYo0ePzrOH2uvXrzFgwAAYGBhg48aNMDY2zvd1OXLkCBITE9GzZ0+IRCKsX78eY8eOxZkzZ6Curg4A8PPzw8SJE2Fra4sff/wRsbGxmDZtGsqXL1/wC5+PkJAQqKqqQl9fHxcuXMC9e/fQvn17mJmZITQ0FDt27ED//v1x9OhRaGtro1KlSqhbty4OHz6MgQMHSrTl6+uLMmXKwMPD47NiAkpxQu3NxYt4vncv+t+7h7Njx0qs+xgXh+DTp1Fv4kQhmQZkJcrOT5yIZ7t3Cwm153v3QqSqCofhw4V6alpaqD1kCC79+ivi3ryBfqVKJXNQRERERPTZ1q5di+joaLx58warVq3C1atXcfDgQYSEhODWrVvQ0NDAqVOnMGjQIJw/f17Yrn379jh79qyQSDM0NJRq+927d2jVqhUeP34MAJg0aRLGjBlTIsdFRERERERU2t16l4rJ5+KRobwptyQ8jgDOBadikbs+6ldQl6uN3AkYDQ0N/PHHH2jSpIlE+cmTJ6GlpSUs9+nTB127doW3t7dUQi0wMBC+vr6oWrWqUJbdo+r169c4deqUkHRydXWFl5cX1q1bh6lTpwIA5s2bhwoVKmDfvn3CcIy9e/dGr169sHDhQqmEmoGBATZt2gRVVVWZx/jy5UsMHDgQ5cuXx4YNG2BgYFDg6/L27VucOnVKqGtjY4NRo0bh8uXLwpQLixYtQvny5bFjxw5hqoRGjRqhX79+EknE/GRkZAgJzejoaOzYsQOPHz9GixYtoK2tDTc3N7Rt21ZimxYtWqBnz544efIkunTpAgDo0qULfvvtN7x8+RJVqlQBAKSlpeH48eNo3bo1tLW1CxVPfkrlkI+ZGRk4N3YsHIYOhWnt2lLrIx49QmZ6OsrXry9RrqqhgXJOTgj7b3geAAi7dw9GtrYSiTcAMHN2BgCE37+v+AMgIiIiomLj4OCA5s2bo2/fvjh9+rTwPzS3b98WhsmwsrLCuXPnEBoaips3b+LDhw9YtWqVkEyzsrKSmhctODgYzZo1E5JpU6ZMwaJFi0rwyIiIiIiIiEq3Yy8/lppkWrYMMXD0pewRSArjt99+g7e3N7y9vfHXX3/BxcUF06dPx6lTpyTq5UymxcbGIj4+HvXq1cOTJ0+k2mzQoIFEMi2nli1bSvTgcnBwgKOjIy5cuAAAiImJwfXr19GuXTuh91xUVBSio6PRtGlTBAUF4cOHDxJt9ujRI89kWkBAgJDg2rRpU6GSaQDg6ekpUbf+f/mYN2/eAAA+fPiA58+fo0uXLhL/f+3s7AxbW9tC7QMAXr16hUaNGqFRo0bw9PTE1q1b4ebmhj/++AOA5OuelpaG6OhoWFpaQl9fX+K1b9euHTQ1NeHr6yuUXb58GdHR0VK9DeVVKnuoPVi9GnHBwfA6c0bm+oR37wAAuhUqSK0rU6ECQnOMR5rw7l2e9QAg4e1bueMUi8VFnuBPXiKRSCEZ1G9JcnIyxOJSdnYnoi8Wz8NFw3MwFYfk5GSp72FSUhJEIpGw/P79e1hYWAjLhoaGQk+0WbNmCeVt27aV+B33/PlzdOzYUXhicPbs2Zg8eXKJ/dYjIlIk/m4pGv5uISL6+onFYon/byDKycHBAbVzdOzp0KEDunTpgt9//x1ubm5CD7Hz589j1apVePr0KVJTU4X6sj5bOf+/NDcrKyupMmtraxw/fhxAVg82sViMpUuXYunSpTLbiIyMlEjK5be/ESNGwMTEBBs2bJB6sDQ/FXLlVbKTa3FxcQCyerABgKWlpdS2VlZWMhONslSsWBFz586FSCSChoYGrK2tUbZsWWF9SkoK1qxZg/379+PDhw8Sv9vi4+OFv/X19dGiRQscOXIEEyZMAJA13GP58uXRsGHDQsVSELkSau2WtsPwZsPRyakTVFVkZz3llRwZiSu//YaGM2ZAx9RUZp305GQAgKqmptQ6NS0tYX123bzq5WxLHmlpaXj69Knc2xeFtrY2atSoUSL7+loEBgYi+TPeXyKinHgeLhqeg6k49OjRA7Vq1YKTkxPMzMwQFRWFvXv3Cp81zf9+8z19+hTz5s2Dnp4eateuDZFIhAsXLghPqWlra8PT01P4HRcUFIThw4cLQ0y0a9cOFStWxI4dO4R9W1paFji+PBFRacHfLUXD3y1ERN+G7KQIfR7PKpo4F5xaqnqpqYqA9lW0Cq5YSCoqKnBxccHmzZsRHByMatWq4fbt2xg5ciQaNGiAmTNnwtTUFOrq6ti3bx+OHDki1UbOXlVFlT0/+ODBg9GsWTOZdXInsTRl5ECytWnTBgcOHICvry++//77QseRV483RT+IpKOjg8aNG+e5fs6cOdi/fz8GDBgAJycn6OnpQSQSYeLEiVKxdOnSBSdOnMDdu3dha2uLc+fOoVevXlBRUcxgjXIl1E4+PolTj0+hnH45DGw8EEOaDkHVcrK7LxbV5enToWVsjLq55k3LSe2/J+0yPn6UWpeekiKsz66bV72cbclDXV09z26bisYnKIrOxsaGTxkSkcLwPFw0PAdTcUhPT8fhw4dx+PBhmev//PNPYQiKtLQ0bN68WaqOuro61q9fj5YtWwplt2/fFpJpAHD8+HHhycBsq1evlho/n4iotOLvlqLh7xYioq/fixcvlB3CV6NBBQ0sctfH0ZcpeJuQqexwYK6rgvZVtOSePy0vGRkZACCMWnLy5Eloampiw4YNEsnZffv2Fbnt4OBgqbKgoCBhzrFKlSoByPr/1/wSTYX1888/Q1VVFbNnz0aZMmXQsWPHz24TAMzNzQFk9ajLTdYxyit7nrQpU6YIZR8/fpTonZatWbNmMDY2hq+vLxwdHZGcnIzOnTsrLBa5Emov5r3AukvrsPnaZiw4sQD/O/E/uNm5YVizYehatys01OTL9kcHBODh2rVo8fffEkMxZqSkIDMtDbFBQdDQ1xeGcMwe+jGnxHfvoPvfGwlkDQsZHxoqsx4AibpFJRKJoKOjI/f2VLw4xAkRkfLwHEzF4aeffoKvry+ePHmC8PBwiMVimJubo1GjRhg5cqTEk3vdunVDVFQUnj9/jtjYWJiYmKBFixaYOnUqatWqJdFufk/y5azD331ERF8n/m4hIvr68WETxapfQV3hCazSJC0tDVeuXIG6ujqqVKkCIKu3lkgkEhJtABASEoKzZ88Wuf0zZ87gw4cPwpCNDx8+xIMHDzBgwAAAQNmyZeHs7Ixdu3ahb9++KFeunMT2UVFRRR5BZc6cOUhMTMSUKVOgo6MDDw+PIsedW/ny5WFra4uDBw9i+PDhwnCSN2/exPPnz4UE4eeS1VNuy5YtEu9FNjU1NbRv3x5HjhzBy5cvYWtri+rVqyskDkDOhFpl08qY33U+5naZiyMPj2D9pfU48fgE/J75waiMEfo37I+hzYaihnnRhpiIDw2FODMT58aNw7lx46TWr7OxQd3x49Fk9myoqKnhw+3bqN6jh7A+IzUVYffvwy5HmamTE16fP4+PcXHQ1NcXyt/duCGsJyIiIqLSb8yYMRgzZkyh6g4cOBADBw5UeF0iIiIiIiL6uly8eBGvXr0CkJWs8vX1FaYG0NXVBQA0b94c3t7eGDp0KDp06IDIyEhs374dlpaWePbsWZH2Z2lpiV69eqFXr15ITU3F5s2bYWhoiKFDhwp1Zs6cid69e6Njx47o0aMHKlWqhIiICNy/fx/v37/Pc+SWvKioqOCvv/7C6NGjMWHCBKxduxaNGjUqUhuyTJw4EaNGjUKvXr3QtWtXxMXFYdu2bbC1tUViYuJntw8Abm5uOHToEHR1dVG1alXcv38fV69eFeZLz61Lly7YsmULbty4gcmTJyskhmxyJdSyqaqoorNTZ3R26ox3Me+w8cpGeF/xxtKzS7H07FI0qtIIw5oNQ88GPaGlXvCYoSa1aqHzgQNS5ZenT0dqfDzcly6FYZUq0DQwgGXLlniydSsazZgBDT09AMCTLVuQlpAAOy8vYVu77t1xe+FCPFy7Fg3+e/HSP37Ev97eqODiAv3/uk8SEREREREREREREdG3ZdmyZcLfmpqaqFy5MmbNmiUx31ijRo0wb948rFu3Dn/88QcsLCwwefJkhIaGFjmh1qVLF6ioqMDHxweRkZFwcHDAjBkzJHqiVa1aFfv27cOKFStw4MABxMTEwNjYGDVq1MDo0aPlOk51dXUsW7YMw4YNw6hRo7Bp0yY4OjrK1VY2d3d3LF68GMuXL8eiRYtgbW2N+fPn4+DBgwgICPistrNNmzYNKioq8PX1xcePH1G3bl0huSlLrVq1UK1aNbx8+RKdOnVSSAzZRGIFDhSenpGOA/cOYOKuiXgbmzVkowgiGJUxwi9tf8GPrX6Ua/K3nW5uSI6IwKB//xXKPty9i+2NG6NsjRpwGD4cCSEhuL1oESxcXdH95EmJ7Q/36IEXBw6g3sSJMKxaFY99fPD+5k14nT2LSq6uch3ro0ePAAC1a9eWa3t5ha/dhfT34SW6zy+NmpkpTIf3VHYYRPSVmnrkBwRFKeYHwdfI2rga5ndYo+wwiIiICPzdUhD+biEi+nYo617uly4lJQWBgYGwsbGBllbBHWaIsnXu3BnGxsbw9vZWyv67dOkCAwMD+Pj4FFi3KJ/zome3ZHj+/jl+3vszLH62wPdrv0dUUhT6NeyHMxPPYEG3BdDV1MWUfVPwy75fFLE7AED5unXhdeYM1LS14TdxIh6sXYtaQ4ag0969UnU9N29G3QkT8GTLFpwbNw6ZaWn47sgRuZNpRERERERERERERERE37K0tDSkp6dLlN24cQP+/v5wdnZWSkyPHj3C06dP0aVLF4W3LfeQjylpKdhzew/WX16PywGXIYYY1c2qY0q7KRjQaACMyhgBANzt3THWfSxaLWmFzdc24y+vv4q8r+/9/GSWWzRtit5XrhS4vZqWFtz++gtufxV930RERERUdOLMTIjkGJngW8TXioiIiIiIiL5EHz58wKBBg9CpUyeUK1cOr169ws6dO2FqaioxZGZJeP78OR4/foyNGzfC1NQUnp6eCt+HXAm1MdvHYPuN7YhNjoW6qjp6NuiJH1x/QHO75jLra6prok3NNrjyouDkFxERERF9+UQqKojefwrpEdHKDqVUUzMxglHX1soOg4iIiIiIiKjIDAwMULNmTezZswdRUVHQ0dFB8+bNMXnyZBgZGZVoLCdPnsTKlSthY2ODxYsXQ1NTU+H7kCuh9o/fP6hiWgVTPadiUONBMNEzKXAbNzs3/NbhN3l2R0RERERfoPSIaM79SkRERERERPSV0tPTw99//63sMAAAY8eOxdixY4t1H3Il1E5PPA0Pe48ibdOkahM0qdpEnt0RERERERERERERERERKY1ckzUUNZlGRERERERERERERERE9KWSK6Hmc9UH9ebUw9uYtzLXv415i3pz6mH7je2fFRwRERERERERERERERGRssmVUNt0dRM01DRgbmguc725oTm0NbSx4fKGzwqOiIiIiIiIiIiIiIiURywWKzsEomJTlM+3XAm1J2+foI5lnXzrOFVywpN3T+RpnoiIiIiIiIiIiIiIlEhdXR0ikQiJiYnKDoWo2CQlJQHI+rwXRE2eHcQmx8JIxyjfOvpa+ohOjJaneSIiIiIiIiIiIiIiUiJVVVUYGBggPDwcHz9+hL6+PtTU1CASiZQdGtFnE4vFSEpKQlhYGAwNDaGqqlrgNnIl1MwNzXH/zf186zwIeYDy+uXlaZ6IiIiIiIiIiIiIiJTMzMwM2traCAsLQ1xcnLLDIVI4Q0NDmJmZFaquXAm1lvYtsfHKRpx+chqtarSSWn/q8Smc+PcEhjQdIk/zRERERERERERERESkZCKRCIaGhjAwMEBGRgbS09OVHRKRwqirqxeqZ1o2uRJqU9tNxa7bu+C5zBP9GvZDK/tWqGhUEaHRoTj15BS23tgKfW19TG03VZ7miYiIiIiIiIiIiIiolBCJRFBTU4OamlwpBaKvglyffhtTGxwdexTfr/0em65ugs9VH2GdGGJYGFlg9/DdsDG1UVigRERERERERERERERERMogdzq5abWmeDX/FQ7dP4SbgTcRmxwLQx1DONs4o5NjJ2ioaSgyTiIiIiIiIiIiIiIiIiKl+Kz+mRpqGvCq7wWv+l6KioeIiIiIiIiIiIiIiIioVFFRdgBEREREREREREREREREpZncPdRS01Nx8N5B3Aq6hZjkGGRkZkjVEUGEDQM3fFaARERERERERERERERERMokV0ItODIYrRa3wsvwlxBDnGc9JtSIiIiIiEreo0ePsGDBAty5cwfv3r1DYmIiDAwM4OjoiCFDhqB3794ytwsMDETt2rWRmJgIAHBxccH169cl6sTHx2PevHnYv38/goODUaZMGTRu3BgzZsyAi4tLsR8bERERERERkTLIlVCbuGsiXoS/QL+G/TC4yWBYGFlATfWzpmMjIiIiIiIFefDgAbZt2yZRFhkZiXPnzuHcuXMIDg7G1KlTpbb74YcfhGSaLHFxcWjSpAn+/fdfoSw1NRVHjx7FqVOncODAAbRv315xB0JERERfveJ8ECgkJATz5s3DqVOnEBoaCrFYjAoVKsDDwwO//vorqlSpUuzHR0REXw+5smDn/M/Bo7oHfAb7KDoeIiIiIiL6TMbGxhg2bBhcXV1RoUIFREVFYcmSJbh27RoAYNmyZVIJNR8fH5w+fRpaWlpISUmR2e7ChQuFZFrDhg0xY8YMBAQE4Mcff0RaWhqGDBmCly9fokyZMsV7gERERPTVKK4HgcLDw9GgQQO8f/9eojw4OBgbN27EwYMH8fDhQ1SsWFExB0JERF89FXk2yhRnoo5lHUXHQkRERERECuDp6Ym1a9eib9++8PDwgJeXF/755x9hfXx8vET9sLAwTJo0CSKRCNOnT8+z3ePHjwt///nnn/D09MT48ePRqlUrAMCHDx9w8OBBxR4MERERfdWyHwTasmULzpw5g927d6NRo0bC+mXLlkltk/NBoLzs2LFDSKZZWVlh79692LdvH6ysrAAAUVFR2Llzp4KPhoiIvmZy9VBzsXHB03dPFR0LEREREREpWGZmJt6/f481a9YIZS1atJCoM27cOERFRWH06NFo0qRJnm3FxsYKf+fshZbz7ytXrqBPnz6KCJ2IiIi+AZ6envD09JQoq1atGurUyXqYv6AHgfJ6GCjn7xYvLy9069YNAHDt2jUsXLgQAJCenq6w4yAioq+fXD3U/uz2J875n8PeO3sVHQ8RERERESlIw4YNoaqqiooVK2L16tUQiUTo0KEDNmzYINTx9fXFrl27UKlSJcyfPz/f9uzs7IS/V6xYgbi4ONy5cwenT58Wyt+8eaP4AyEiIvrCPHr0CH379oW9vT0MDQ2hrq4OExMTeHh4YPv27XluFxgYCF1dXYhEIohEIjRs2FBi/bt377BgwQK0adMGNjY20NbWhp6eHho1agRvb+/iPqxil5mZibdv3xbqQaBRo0bl+yCQm5ub8Pfu3buxb98+7N+/H7t37wYAaGtrC0k2IiKiwpCrh9rRh0fRwq4Feq7piea2zVHXqi70tfSl6olEIszoMOOzgyQiIiIios+noqICNTU1ZGZmAsh64nvUqFEAgNWrV0NPTy/f7SdOnIhjx44hMzMTPj4+8PGRnlM5r/nXiIiIviXFNS/YhQsXMGXKFKny69ev4/r163jw4AH+/vvvz45fGRo2bIgbN24IyyKRCO3bt8/3QaA7d+7k2V6zZs2wbNkyTJ8+Ha9fv0b37t2FdU2bNsXSpUtRtWrV4jkYIiL6KsmVUJvlO0v42++5H/ye+8msJwITakREREREyrJ27VpER0fjzZs3WLVqFa5evYqDBw8iJCQEt27dwvz58xESEoJevXpJDbUki7u7O7Zv346JEyfi3bt3ALKGe3R1dRXmVzM0NCzOQyIiIvoiZM8L5urqigoVKiAqKgpLlizBtWvXAGTNC5Y7oZZzXrD8HlDR0tJCnz594OnpCU1NTfzzzz84duyY0O64ceNQuXLl4ju4EvK5DwIBgLW1NSwsLPDkyROJ8jt37uDIkSOoW7eu4gMnIqKvllwJtfM/nld0HESl3qNHj7BgwQLcuXMH7969Q2JiIgwMDODo6IghQ4agd+/eQt3169djz549ePLkCSIiIiAWi1GhQgU0b94cU6ZMQfXq1SXajo+Px7x587B//34EBwejTJkyaNy4MWbMmAEXF5eSPlQiIiL6Sjg4OAh/d+3aFWXLlkVKSgpu376N58+f4+3btwCAHTt2YMeOHVLb37hxAyKRCEuWLMGECRMAAD179kT37t3h7++P9PR02NraYuHChUJCrWbNmsV/YERERKVccc0L5ujoiICAAFhYWAhlLVu2hJWVFT58+ACxWIzbt29/kQk1RT8IdO7cOXTp0gWZmZlo2rQpdu7cCVVVVfTs2RMXL17EzJkzUbVqVYn7OURERPmRK6HW3K65ouMgKvWKMlzDzp07cfbsWYm6QUFBCAoKwr59+3Dnzh3Y2toCAOLi4tCkSRP8+++/Qt3U1FQcPXoUp06dwoEDB9C+fftiPjoiIiL6miQnJ0NbW1uqXCQSCX/HxMTI3b6qqqqQOEtISJCY56RDhw5yt0tERPQ1yszMxPv37ws1L9jo0aPznRfM3t5eqkxTUxOWlpb48OEDgKze418iRT8ItGHDBqF329ixY1GxYkUAwOjRo3Hx4kUAwMGDB5lQIyKiQpMroUb0LSrKcA2Ojo5o3rw5atasCQMDAzx+/BgzZsxAXFwcEhIS4O3tjfnz5wMAFi5cKCTTGjZsiBkzZiAgIAA//vgj0tLSMGTIELx8+fKL/UFMREREJa9+/fpo2LAhmjZtCktLS4SFheGff/5BcnIyAEBbWxv29vbo3bs3nJycJLZ98eIFVq5cCQCwsrLChAkT0Lx51gN1sbGxaNOmDfr06QNbW1u8ffsWixYtQmhoKACgXbt2qF+/fskdKBERUSmn6HnBZAkMDMS9e/cAALq6umjWrJligi8hxfUgUEREhPB3QkKC8HfO3oE5y4mIiAoid0ItPSMdy88tx46bO+D/3h9JqUlIX5MOALj/+j7WXlqLCR4TYGtmq7BgiZSpKMM1LFq0SKKeh4cHXr16haVLl0rVzR4eCQD+/PNP4YbViRMncOLECXz48AEHDx5Enz59FHtARERE9NVKTEzExo0bsXHjRpnrFy5cCD09PbRu3RqtW7eWWOfn5yck1MzMzIShHgFALBbjxo0bEjcGs9WoUQPe3t6KOwgiIqKvkCLmBcspMjISXbp0QXp61j25+fPnQ19fX7FBF7PiehCoZs2aOHXqFABgzpw50NPTg0gkwty5c4Xtc7dHRESUH7kSasmpyWi9pDWuvrwKE10T6GvpI/FjorDexsQG3le8YaxjjLnfzc2nJaIvU2GGa8j28eNH/Pvvv8IEwbnrxsbGCn/n7IWW8+8rV64woUZERESFNnnyZPj6+uLJkycIDw+HWCyGubk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",
      "text/plain": [
       "<Figure size 1800x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1800x1200 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Set the overall aesthetics\n",
    "sns.set(style='whitegrid')\n",
    "\n",
    "# Define a more vibrant color palette\n",
    "color_palette = sns.color_palette(\"husl\", n_colors=len(most_payment['PaymentType'].unique()))\n",
    "\n",
    "# Set up the figure with larger size\n",
    "plt.figure(figsize=(18, 12))\n",
    "\n",
    "# Create a bar plot for Most Frequently Used Payment Methods\n",
    "plt.subplot(2, 1, 1)\n",
    "bar_plot1 = sns.barplot(data=most_payment, x='Outlet', y='Transaction_Freq', hue='PaymentType', palette=color_palette)\n",
    "plt.title('Most Frequently Used Payment Methods per Outlet', fontsize=18, fontweight='bold', color='navy')\n",
    "plt.xlabel('Outlet', fontsize=14, color='darkgreen')\n",
    "plt.ylabel('Transaction Frequency', fontsize=14, color='darkgreen')\n",
    "plt.xticks(rotation=45, fontsize=12, color='darkred')\n",
    "plt.yticks(fontsize=12, color='darkred')\n",
    "plt.ylim(0, most_payment['Transaction_Freq'].max() * 1.1)  # Adjust the y-axis limit\n",
    "\n",
    "# Add legend for payment types\n",
    "legend_elements = [plt.Line2D([0], [0], color=color, lw=4, label=payment_type) for payment_type, color in zip(most_payment['PaymentType'].unique(), color_palette)]\n",
    "plt.legend(handles=legend_elements, title='Payment Type', loc='upper left', bbox_to_anchor=(1.05, 1), fontsize=12, title_fontsize='13')\n",
    "\n",
    "# Add data labels on top of the bars\n",
    "for p in bar_plot1.patches:\n",
    "    bar_plot1.annotate(f'{int(p.get_height())}', \n",
    "                       (p.get_x() + p.get_width() / 2., p.get_height()), \n",
    "                       ha='center', va='bottom', fontsize=12, color='black', weight='bold')\n",
    "\n",
    "# Create a new figure for Average Revenue per Transaction\n",
    "plt.figure(figsize=(18, 12))\n",
    "\n",
    "# Create a horizontal bar plot for Average Revenue per Transaction\n",
    "plt.subplot(1, 1, 1)\n",
    "bar_plot2 = sns.barplot(data=AVG_Income, y='Outlet', x='Transaction_AVG', hue='PaymentType', palette=color_palette)\n",
    "plt.title('Average Revenue per Transaction by Payment Method per Outlet', fontsize=18, fontweight='bold', color='navy')\n",
    "plt.xlabel('Average Revenue (Rp)', fontsize=14, color='darkgreen')\n",
    "plt.ylabel('Outlet', fontsize=14, color='darkgreen')\n",
    "plt.xticks(fontsize=12, color='darkred')\n",
    "plt.yticks(fontsize=12, color='darkred')\n",
    "plt.xlim(0, AVG_Income['Transaction_AVG'].max() * 1.1)  # Adjust the x-axis limit\n",
    "\n",
    "# Add legend for payment types\n",
    "legend_elements = [plt.Line2D([0], [0], color=color, lw=4, label=payment_type) for payment_type, color in zip(AVG_Income['PaymentType'].unique(), color_palette)]\n",
    "plt.legend(handles=legend_elements, title='Payment Type', loc='upper left', bbox_to_anchor=(1.05, 1), fontsize=12, title_fontsize='13')\n",
    "\n",
    "# Add data labels on top of the bars (now placed at the end of each bar)\n",
    "for p in bar_plot2.patches:\n",
    "    bar_plot2.annotate(f'Rp.{p.get_width():.2f}',  # Use get_width() for horizontal bars\n",
    "                       (p.get_x() + p.get_width(), p.get_y() + p.get_height() / 2.), \n",
    "                       ha='left', va='center', fontsize=12, color='black', weight='bold')\n",
    "\n",
    "# Adjust layout for better spacing\n",
    "plt.tight_layout()\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "bdec160c",
   "metadata": {
    "papermill": {
     "duration": 0.005013,
     "end_time": "2024-12-01T03:19:10.331121",
     "exception": false,
     "start_time": "2024-12-01T03:19:10.326108",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### **Most Frequently Used Payment Method per Outlet**\n",
    "This table provides insight into customer preferences for payment methods across different outlets. For each outlet, you're able to see how many times each payment method was used. \n",
    "\n",
    "- **BK01 - ATMI** has the highest frequency for **Cash** (444 transactions), followed by **Non Tunai** (339) and **Barberking Pay** (111). \n",
    "- **BK05 - JAKAL** shows a similar trend, with **Non Tunai** being the most frequent method (482), followed by **Cash** (250) and **Barberking Pay** (62). \n",
    "\n",
    "**Key Insights:**\n",
    "- **Cash** seems to be the most frequently used payment method in outlets like **BK01 - ATMI** and **BK07 - GAJAH MADA**.\n",
    "- **Non Tunai** (non-cash) is most popular in **BK05 - JAKAL** and **BK09 - PLEBURAN**.\n",
    "\n",
    "### **Average Income per Transaction by Payment Method per Outlet**\n",
    "This table shows the average transaction value for each payment method across the different outlets.\n",
    "\n",
    "- **BK01 - ATMI** has the highest average transaction amount for **Non Tunai** (49,899.41), followed by **Barberking Pay** (47,173.55), and **Cash** (41,678.18).\n",
    "- In **BK05 - JAKAL**, **Barberking Pay** has a higher average transaction value (45,513.33) compared to **Non Tunai** (43,988.01) and **Cash** (41,685.42).\n",
    "- **BK09 - PLEBURAN** shows a smaller variance in average transaction amounts across the three payment methods, with **Cash** and **Non Tunai** being almost equal (41,311.23 vs. 41,301.71), and **Barberking Pay** showing slightly lower (38,558.14).\n",
    "\n",
    "**Key Insights:**\n",
    "- **Non Tunai** tends to have the highest average income per transaction in most outlets, indicating that customers using this method are likely spending more.\n",
    "- **Barberking Pay** has competitive average transaction values, though slightly lower than **Non Tunai** in some outlets.\n",
    "- **Cash** payments, while frequent in certain outlets, often result in lower average transaction amounts."
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    "### **Analysis and Insights**\n",
    "1. **Payment Method Popularity vs Revenue:**\n",
    "   - While **Cash** is often the most frequent payment method, **Non Tunai** (non-cash) generally generates higher revenue per transaction. This suggests that although customers are using cash more frequently, they are spending less per transaction compared to those using non-cash options.\n",
    "   \n",
    "2. **Actionable Insights for Business Strategy:**\n",
    "   - **Incentivize Non Tunai**: Given that **Non Tunai** generally yields higher average revenue, businesses might consider promoting non-cash options through incentives (e.g., discounts or loyalty rewards) to increase their adoption.\n",
    "   - **Encourage Barberking Pay**: Even though **Barberking Pay** is less frequent, it shows competitive transaction values. You could implement targeted campaigns to increase its usage, possibly with exclusive benefits for customers paying via this method.\n",
    "   - **Optimize Cash Handling**: While **Cash** remains popular, businesses should streamline cash transaction processes to ensure operational efficiency, especially in outlets where **Cash** is the dominant method."
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