analysis-of-each-add-on-service-and-its-impact.ipynb

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    "# Analysis of Each Add-On Service and Its Impact\n",
    "\n",
    "Introduction\n",
    "In this project, we will analyse the contribution of each Add-On Service to the total sales volume of **\"Item Group = Service\"** per outlet. This analysis is important to understand the extent to which each Add-On Service affects overall sales and how business strategies can be improved based on these findings.\n",
    "\n",
    "Data already clean. So we will perform the following steps:\n",
    "* Initial Analysis with SQL: Run SQL queries to get basic data.\n",
    "* Advanced Analysis with Python: Using Python for deep analysis and visualisation."
   ]
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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",
    "\n",
    "# Define a lambda function to run the query\n",
    "sql = lambda q: sqldf(q, globals())"
   ]
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     "text": [
      "Total Transactions for All Services:\n",
      "              Outlet  TotalQTYJasa  TotalAmountJasa\n",
      "0        BK01 - ATMI          1370         56482000\n",
      "1       BK05 - JAKAL          1357         57049000\n",
      "2  BK07 - GAJAH MADA          1335         52477000\n",
      "3    BK09 - PLEBURAN          1426         54676000\n",
      "4      BK16 - GENTAN          1263         50016000\n"
     ]
    }
   ],
   "source": [
    "# Query 1: Total Transactions for All Services\n",
    "query1 = \"\"\"\n",
    "SELECT Outlet, \n",
    "       SUM(Qty) as TotalQTYJasa, \n",
    "       SUM(Amount) as TotalAmountJasa\n",
    "FROM data\n",
    "WHERE ItemGroup REGEXP 'Jasa'\n",
    "GROUP BY Outlet;\n",
    "\"\"\"\n",
    "\n",
    "# Running the first query\n",
    "total_jasa = sql(query1)\n",
    "\n",
    "# Show the result\n",
    "print(\"Total Transactions for All Services:\")\n",
    "print(total_jasa)"
   ]
  },
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      "\n",
      "Total Transaction for All Add-On Services:\n",
      "               Outlet                                           ItemName  \\\n",
      "0         BK01 - ATMI                                        003 Vitamin   \n",
      "1         BK01 - ATMI                                    004 Silet Razor   \n",
      "2         BK01 - ATMI                   006 Facial Shave & Full Trimming   \n",
      "3         BK01 - ATMI                          008 Hair Wash and Styling   \n",
      "4         BK01 - ATMI  009 Dandruff Scalling Free Dandruff Treatment ...   \n",
      "5         BK01 - ATMI                           022 Black Mask Full Face   \n",
      "6         BK01 - ATMI  030 Sculpting S FREE produk perawatan Neutrali...   \n",
      "7        BK05 - JAKAL                                        003 Vitamin   \n",
      "8        BK05 - JAKAL                                    004 Silet Razor   \n",
      "9        BK05 - JAKAL                   006 Facial Shave & Full Trimming   \n",
      "10       BK05 - JAKAL  009 Dandruff Scalling Free Dandruff Treatment ...   \n",
      "11       BK05 - JAKAL                           022 Black Mask Full Face   \n",
      "12       BK05 - JAKAL  030 Sculpting S FREE produk perawatan Neutrali...   \n",
      "13       BK05 - JAKAL                                    106 Totok Wajah   \n",
      "14  BK07 - GAJAH MADA                                        003 Vitamin   \n",
      "15  BK07 - GAJAH MADA                                    004 Silet Razor   \n",
      "16  BK07 - GAJAH MADA                   006 Facial Shave & Full Trimming   \n",
      "17  BK07 - GAJAH MADA                                      007 Wash Only   \n",
      "18  BK07 - GAJAH MADA                          008 Hair Wash and Styling   \n",
      "19  BK07 - GAJAH MADA  009 Dandruff Scalling Free Dandruff Treatment ...   \n",
      "20  BK07 - GAJAH MADA                           022 Black Mask Full Face   \n",
      "21  BK07 - GAJAH MADA  030 Sculpting S FREE produk perawatan Neutrali...   \n",
      "22  BK07 - GAJAH MADA                                    106 Totok Wajah   \n",
      "23    BK09 - PLEBURAN                                        003 Vitamin   \n",
      "24    BK09 - PLEBURAN                                    004 Silet Razor   \n",
      "25    BK09 - PLEBURAN                   006 Facial Shave & Full Trimming   \n",
      "26    BK09 - PLEBURAN                                      007 Wash Only   \n",
      "27    BK09 - PLEBURAN  009 Dandruff Scalling Free Dandruff Treatment ...   \n",
      "28    BK09 - PLEBURAN                           022 Black Mask Full Face   \n",
      "29    BK09 - PLEBURAN  030 Sculpting S FREE produk perawatan Neutrali...   \n",
      "30    BK09 - PLEBURAN                                    106 Totok Wajah   \n",
      "31      BK16 - GENTAN                                        003 Vitamin   \n",
      "32      BK16 - GENTAN                                    004 Silet Razor   \n",
      "33      BK16 - GENTAN                   006 Facial Shave & Full Trimming   \n",
      "34      BK16 - GENTAN  030 Sculpting S FREE produk perawatan Neutrali...   \n",
      "\n",
      "    TotalQTYAddOn  TotalAmountAddOn  \n",
      "0             311            933000  \n",
      "1             167            835000  \n",
      "2               9            180000  \n",
      "3               2             20000  \n",
      "4               4            352000  \n",
      "5               5            150000  \n",
      "6               6           1620000  \n",
      "7             320            960000  \n",
      "8             216           1080000  \n",
      "9               8            160000  \n",
      "10              3            264000  \n",
      "11              2             60000  \n",
      "12              4           1080000  \n",
      "13              2             60000  \n",
      "14            271            813000  \n",
      "15            205           1025000  \n",
      "16             20            400000  \n",
      "17              1             10000  \n",
      "18              1             10000  \n",
      "19             11            968000  \n",
      "20              3             90000  \n",
      "21              4           1080000  \n",
      "22              2             60000  \n",
      "23            317            951000  \n",
      "24            243           1215000  \n",
      "25              5            100000  \n",
      "26              1             10000  \n",
      "27              1             88000  \n",
      "28              1             30000  \n",
      "29              4           1080000  \n",
      "30              2             60000  \n",
      "31            282            846000  \n",
      "32            150            750000  \n",
      "33              4             80000  \n",
      "34              4           1080000  \n"
     ]
    }
   ],
   "source": [
    "# Query 2: Total Transactions for All Add-On Services\n",
    "query2 = \"\"\"\n",
    "SELECT Outlet,ItemName, SUM(Qty) as TotalQTYAddOn, SUM(Amount) as TotalAmountAddOn\n",
    "FROM data\n",
    "WHERE ItemGroup REGEXP 'Jasa' AND ItemName REGEXP '003 Vitamin|004 Silet Razor|005 Facial Shave|006 Facial Shave & Full Trimming|006 Full Trimming|007 Wash Only|008 Hair Wash and Styling|009 Dandruff Scalling Free Dandruff Treatment Oil Rp 0|029 Styling Catok (L)|029 Styling Catok (M)|029 Styling Catok (S)|029 Styling Catok (XL)|030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0|034 Cat Reguler Black (S)|022 Black Mask Full Face|023 Black Mask Area Hidung|024 Purple Ligtening ( S )|095 Hair Wrapping (L)|096 Styling Curly (S)|097 Styling Curly (M)|098 Styling Curly (L)|099 Styling Curly (XL)|100 Tensei Perm (M)|101 Tensei Perm (L)|102 Down Perm (S)|103 Top Afro|104 Full Afro|105 Tensei Hairup|106 Totok Wajah|Aguaria 600 ml'\n",
    "GROUP BY Outlet, ItemName \n",
    ";\n",
    "\"\"\"\n",
    "# Running the second query\n",
    "total_addon = sql(query2)\n",
    "\n",
    "# Show the result\n",
    "print(\"\\nTotal Transaction for All Add-On Services:\")\n",
    "print(total_addon)"
   ]
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      "\n",
      "Contribution of Add-On to Total Service:\n"
     ]
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       "\n",
       "<div style=\"overflow: auto; width: 120%; max-height: 400px; border: 1px solid #ccc;\">\n",
       "    <table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th>Outlet</th>\n",
       "      <th>ItemName</th>\n",
       "      <th>TotalQTYAddOn</th>\n",
       "      <th>TotalAmountAddOn</th>\n",
       "      <th>TotalQTYJasa</th>\n",
       "      <th>TotalAmountJasa</th>\n",
       "      <th>QtyContribution(%)</th>\n",
       "      <th>AmountContribution(%)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <td>BK01 - ATMI</td>\n",
       "      <td>003 Vitamin</td>\n",
       "      <td>311</td>\n",
       "      <td>933000</td>\n",
       "      <td>1370</td>\n",
       "      <td>56482000</td>\n",
       "      <td>22.700730</td>\n",
       "      <td>1.651854</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK01 - ATMI</td>\n",
       "      <td>004 Silet Razor</td>\n",
       "      <td>167</td>\n",
       "      <td>835000</td>\n",
       "      <td>1370</td>\n",
       "      <td>56482000</td>\n",
       "      <td>12.189781</td>\n",
       "      <td>1.478347</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK01 - ATMI</td>\n",
       "      <td>006 Facial Shave &amp; Full Trimming</td>\n",
       "      <td>9</td>\n",
       "      <td>180000</td>\n",
       "      <td>1370</td>\n",
       "      <td>56482000</td>\n",
       "      <td>0.656934</td>\n",
       "      <td>0.318686</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK01 - ATMI</td>\n",
       "      <td>008 Hair Wash and Styling</td>\n",
       "      <td>2</td>\n",
       "      <td>20000</td>\n",
       "      <td>1370</td>\n",
       "      <td>56482000</td>\n",
       "      <td>0.145985</td>\n",
       "      <td>0.035410</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK01 - ATMI</td>\n",
       "      <td>009 Dandruff Scalling Free Dandruff Treatment Oil Rp 0</td>\n",
       "      <td>4</td>\n",
       "      <td>352000</td>\n",
       "      <td>1370</td>\n",
       "      <td>56482000</td>\n",
       "      <td>0.291971</td>\n",
       "      <td>0.623207</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK01 - ATMI</td>\n",
       "      <td>022 Black Mask Full Face</td>\n",
       "      <td>5</td>\n",
       "      <td>150000</td>\n",
       "      <td>1370</td>\n",
       "      <td>56482000</td>\n",
       "      <td>0.364964</td>\n",
       "      <td>0.265571</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK01 - ATMI</td>\n",
       "      <td>030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0</td>\n",
       "      <td>6</td>\n",
       "      <td>1620000</td>\n",
       "      <td>1370</td>\n",
       "      <td>56482000</td>\n",
       "      <td>0.437956</td>\n",
       "      <td>2.868170</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK05 - JAKAL</td>\n",
       "      <td>003 Vitamin</td>\n",
       "      <td>320</td>\n",
       "      <td>960000</td>\n",
       "      <td>1357</td>\n",
       "      <td>57049000</td>\n",
       "      <td>23.581430</td>\n",
       "      <td>1.682764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK05 - JAKAL</td>\n",
       "      <td>004 Silet Razor</td>\n",
       "      <td>216</td>\n",
       "      <td>1080000</td>\n",
       "      <td>1357</td>\n",
       "      <td>57049000</td>\n",
       "      <td>15.917465</td>\n",
       "      <td>1.893109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK05 - JAKAL</td>\n",
       "      <td>006 Facial Shave &amp; Full Trimming</td>\n",
       "      <td>8</td>\n",
       "      <td>160000</td>\n",
       "      <td>1357</td>\n",
       "      <td>57049000</td>\n",
       "      <td>0.589536</td>\n",
       "      <td>0.280461</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK05 - JAKAL</td>\n",
       "      <td>009 Dandruff Scalling Free Dandruff Treatment Oil Rp 0</td>\n",
       "      <td>3</td>\n",
       "      <td>264000</td>\n",
       "      <td>1357</td>\n",
       "      <td>57049000</td>\n",
       "      <td>0.221076</td>\n",
       "      <td>0.462760</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK05 - JAKAL</td>\n",
       "      <td>022 Black Mask Full Face</td>\n",
       "      <td>2</td>\n",
       "      <td>60000</td>\n",
       "      <td>1357</td>\n",
       "      <td>57049000</td>\n",
       "      <td>0.147384</td>\n",
       "      <td>0.105173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK05 - JAKAL</td>\n",
       "      <td>030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0</td>\n",
       "      <td>4</td>\n",
       "      <td>1080000</td>\n",
       "      <td>1357</td>\n",
       "      <td>57049000</td>\n",
       "      <td>0.294768</td>\n",
       "      <td>1.893109</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK05 - JAKAL</td>\n",
       "      <td>106 Totok Wajah</td>\n",
       "      <td>2</td>\n",
       "      <td>60000</td>\n",
       "      <td>1357</td>\n",
       "      <td>57049000</td>\n",
       "      <td>0.147384</td>\n",
       "      <td>0.105173</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK07 - GAJAH MADA</td>\n",
       "      <td>003 Vitamin</td>\n",
       "      <td>271</td>\n",
       "      <td>813000</td>\n",
       "      <td>1335</td>\n",
       "      <td>52477000</td>\n",
       "      <td>20.299625</td>\n",
       "      <td>1.549250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK07 - GAJAH MADA</td>\n",
       "      <td>004 Silet Razor</td>\n",
       "      <td>205</td>\n",
       "      <td>1025000</td>\n",
       "      <td>1335</td>\n",
       "      <td>52477000</td>\n",
       "      <td>15.355805</td>\n",
       "      <td>1.953237</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK07 - GAJAH MADA</td>\n",
       "      <td>006 Facial Shave &amp; Full Trimming</td>\n",
       "      <td>20</td>\n",
       "      <td>400000</td>\n",
       "      <td>1335</td>\n",
       "      <td>52477000</td>\n",
       "      <td>1.498127</td>\n",
       "      <td>0.762239</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK07 - GAJAH MADA</td>\n",
       "      <td>007 Wash Only</td>\n",
       "      <td>1</td>\n",
       "      <td>10000</td>\n",
       "      <td>1335</td>\n",
       "      <td>52477000</td>\n",
       "      <td>0.074906</td>\n",
       "      <td>0.019056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK07 - GAJAH MADA</td>\n",
       "      <td>008 Hair Wash and Styling</td>\n",
       "      <td>1</td>\n",
       "      <td>10000</td>\n",
       "      <td>1335</td>\n",
       "      <td>52477000</td>\n",
       "      <td>0.074906</td>\n",
       "      <td>0.019056</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK07 - GAJAH MADA</td>\n",
       "      <td>009 Dandruff Scalling Free Dandruff Treatment Oil Rp 0</td>\n",
       "      <td>11</td>\n",
       "      <td>968000</td>\n",
       "      <td>1335</td>\n",
       "      <td>52477000</td>\n",
       "      <td>0.823970</td>\n",
       "      <td>1.844618</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK07 - GAJAH MADA</td>\n",
       "      <td>022 Black Mask Full Face</td>\n",
       "      <td>3</td>\n",
       "      <td>90000</td>\n",
       "      <td>1335</td>\n",
       "      <td>52477000</td>\n",
       "      <td>0.224719</td>\n",
       "      <td>0.171504</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK07 - GAJAH MADA</td>\n",
       "      <td>030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0</td>\n",
       "      <td>4</td>\n",
       "      <td>1080000</td>\n",
       "      <td>1335</td>\n",
       "      <td>52477000</td>\n",
       "      <td>0.299625</td>\n",
       "      <td>2.058044</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK07 - GAJAH MADA</td>\n",
       "      <td>106 Totok Wajah</td>\n",
       "      <td>2</td>\n",
       "      <td>60000</td>\n",
       "      <td>1335</td>\n",
       "      <td>52477000</td>\n",
       "      <td>0.149813</td>\n",
       "      <td>0.114336</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK09 - PLEBURAN</td>\n",
       "      <td>003 Vitamin</td>\n",
       "      <td>317</td>\n",
       "      <td>951000</td>\n",
       "      <td>1426</td>\n",
       "      <td>54676000</td>\n",
       "      <td>22.230014</td>\n",
       "      <td>1.739337</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK09 - PLEBURAN</td>\n",
       "      <td>004 Silet Razor</td>\n",
       "      <td>243</td>\n",
       "      <td>1215000</td>\n",
       "      <td>1426</td>\n",
       "      <td>54676000</td>\n",
       "      <td>17.040673</td>\n",
       "      <td>2.222182</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK09 - PLEBURAN</td>\n",
       "      <td>006 Facial Shave &amp; Full Trimming</td>\n",
       "      <td>5</td>\n",
       "      <td>100000</td>\n",
       "      <td>1426</td>\n",
       "      <td>54676000</td>\n",
       "      <td>0.350631</td>\n",
       "      <td>0.182896</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK09 - PLEBURAN</td>\n",
       "      <td>007 Wash Only</td>\n",
       "      <td>1</td>\n",
       "      <td>10000</td>\n",
       "      <td>1426</td>\n",
       "      <td>54676000</td>\n",
       "      <td>0.070126</td>\n",
       "      <td>0.018290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK09 - PLEBURAN</td>\n",
       "      <td>009 Dandruff Scalling Free Dandruff Treatment Oil Rp 0</td>\n",
       "      <td>1</td>\n",
       "      <td>88000</td>\n",
       "      <td>1426</td>\n",
       "      <td>54676000</td>\n",
       "      <td>0.070126</td>\n",
       "      <td>0.160948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK09 - PLEBURAN</td>\n",
       "      <td>022 Black Mask Full Face</td>\n",
       "      <td>1</td>\n",
       "      <td>30000</td>\n",
       "      <td>1426</td>\n",
       "      <td>54676000</td>\n",
       "      <td>0.070126</td>\n",
       "      <td>0.054869</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK09 - PLEBURAN</td>\n",
       "      <td>030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0</td>\n",
       "      <td>4</td>\n",
       "      <td>1080000</td>\n",
       "      <td>1426</td>\n",
       "      <td>54676000</td>\n",
       "      <td>0.280505</td>\n",
       "      <td>1.975273</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK09 - PLEBURAN</td>\n",
       "      <td>106 Totok Wajah</td>\n",
       "      <td>2</td>\n",
       "      <td>60000</td>\n",
       "      <td>1426</td>\n",
       "      <td>54676000</td>\n",
       "      <td>0.140252</td>\n",
       "      <td>0.109737</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK16 - GENTAN</td>\n",
       "      <td>003 Vitamin</td>\n",
       "      <td>282</td>\n",
       "      <td>846000</td>\n",
       "      <td>1263</td>\n",
       "      <td>50016000</td>\n",
       "      <td>22.327791</td>\n",
       "      <td>1.691459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK16 - GENTAN</td>\n",
       "      <td>004 Silet Razor</td>\n",
       "      <td>150</td>\n",
       "      <td>750000</td>\n",
       "      <td>1263</td>\n",
       "      <td>50016000</td>\n",
       "      <td>11.876485</td>\n",
       "      <td>1.499520</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK16 - GENTAN</td>\n",
       "      <td>006 Facial Shave &amp; Full Trimming</td>\n",
       "      <td>4</td>\n",
       "      <td>80000</td>\n",
       "      <td>1263</td>\n",
       "      <td>50016000</td>\n",
       "      <td>0.316706</td>\n",
       "      <td>0.159949</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <td>BK16 - GENTAN</td>\n",
       "      <td>030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0</td>\n",
       "      <td>4</td>\n",
       "      <td>1080000</td>\n",
       "      <td>1263</td>\n",
       "      <td>50016000</td>\n",
       "      <td>0.316706</td>\n",
       "      <td>2.159309</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Merge the query results of total services with total add-ons by Outlet\n",
    "# In order to compare the contribution of add-ons to total services in each outlet\n",
    "total_combined = pd.merge(\n",
    "    total_addon,\n",
    "    total_jasa,\n",
    "    on='Outlet',\n",
    "    how='left'\n",
    ")\n",
    "\n",
    "# Added qty and amount contribution columns for each add-on to the total service\n",
    "total_combined['QtyContribution(%)'] = (total_combined['TotalQTYAddOn']/total_combined['TotalQTYJasa']) * 100\n",
    "total_combined['AmountContribution(%)'] = (total_combined['TotalAmountAddOn']/total_combined['TotalAmountJasa']) * 100\n",
    "\n",
    "\n",
    "# Show in clean table\n",
    "from IPython.display import display, HTML # for tables\n",
    "\n",
    "# Display contribution analysis results with tables that can be scrolled horizontally and vertically\n",
    "print('\\nContribution of Add-On to Total Service:')\n",
    "display(HTML('''\n",
    "<div style=\"overflow: auto; width: 120%; max-height: 400px; border: 1px solid #ccc;\">\n",
    "    ''' + total_combined.to_html(index=False) + '''\n",
    "</div>\n",
    "'''))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "8e187c4e",
   "metadata": {
    "execution": {
     "iopub.execute_input": "2024-11-21T07:55:58.781173Z",
     "iopub.status.busy": "2024-11-21T07:55:58.780789Z",
     "iopub.status.idle": "2024-11-21T07:56:01.561958Z",
     "shell.execute_reply": "2024-11-21T07:56:01.560894Z"
    },
    "papermill": {
     "duration": 2.788336,
     "end_time": "2024-11-21T07:56:01.564352",
     "exception": false,
     "start_time": "2024-11-21T07:55:58.776016",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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09NSvv/5qc86YmBib8z1u7969unz5srp06WJVOqBu3boKCAjQmjVrErymU6dOVs8rV6781Jie1Llz52T3bdiwobJnz24+L1OmjMqWLavvv/8+RXOmVPz4vXv3tmrv06ePJCU4NoUKFVLlypXN597e3ipYsGCKj028Cxcu6ODBg2rbtq0yZsxothcrVkw1a9Z8rv2PP7d79uxpVa+1Q4cO8vT0TPR9f5K9vb25ajMuLk5//vmnHj58qODgYO3fvz/FMWXNmlWHDh1Sp06ddP36dc2cOVNvvvmmsmTJohEjRsgwDEnSwYMHderUKb355pu6du2arl69qqtXr+rOnTuqXr26fv755wRlap48ZyWpefPm2rdvn6Kiosy2JUuWyNnZWQ0aNEgyzuXLl8tisSRaqzj+OrFixQrFxcWpWbNmZnxXr16Vj4+PChQokKzyH8m9nsVr2rSpvLy8zOdly5aVJL311ltWtb/Lli2r+/fvm2UUUuNcSEq7du2sVvbGfz6e9TMRr3z58goKCjKf58qVSw0aNNC6desUGxsrwzC0fPly1a9fX4ZhWL0HoaGhunnzZoJztE2bNon+KiUpc+bMkbe3t7JkyaKyZctq27Zt6t27d4K/D0+Om9xrbvznv02bNlbva82aNVWoUKFkx/m4K1eu6Oeff1b79u2VK1cuq21PlvUB8L+PRDIAAACQhNjYWC1evFhVq1bVmTNndPr0aZ0+fVply5bVpUuXFBERYfb97bffVKBAgQRjFCxY0Op5fP3UJ/t6e3tb/ew9NjZWFy9etHrEl76IT+jGJ5QTk1Sy+cn/6EtShgwZzNqtSfH09LQ53+Pi9/HJfZekgICABDVk4+vBpjSmxzk4OKTop9mJvVf+/v4vvGbnb7/9Jjs7uwQ/Vffx8VH69OkTHJtnfb9szS8l/t4EBgaaydPUHNvJyUl58+ZNtHZwYubPn69ixYrJxcVFmTJlkre3t9asWaObN28+U1y+vr769NNPdeHCBUVGRmrq1Kny9vbWkCFDNGfOHEnSqVOnJD1K0Hl7e1s9Zs+erXv37iWYP0+ePAnmatq0qezs7LRkyRJJj+qhL1u2TLVr15anp2eSMUZFRSlbtmxWyf0nnTp1SoZhqECBAgliPH78uC5fvmzzOKTkehbvyfMvPvmYM2fORNvjz8vUOhcS82RM8dfNZ/1MxEvqmvDXX3/pypUrunLlim7cuKHPP/88wfFv166dJCV4DxI7R2xp0KCB1q9frw0bNmjXrl26evWqJkyYkOBGek+Om9xrblJ/f5J6bXLEJ/Djy38A+HejRjIAAACQhJ9++kkXLlzQ4sWLtXjx4gTbFy1apFdfffWFzH3u3LkEyYKNGzeqSpUqCgwMlPSoLmVSNWN/+eUXSUqwysze3j7R/vErM5MSEBCgAwcO6Ny5cwmSSM8rqZhSwtnZOUGy5XlZLJZEj0tiKzefZezkeNb363/VF198obZt26phw4Z67733lCVLFtnb22vMmDFWq3yfhcVikb+/v/z9/VW3bl0VKFBAixYt0ttvv22uNv7444+T/Ew9WWc3sZWm2bJlU+XKlbV06VK9//772rlzp6Kjo/XRRx89V+zSoxXaFotFP/zwQ6LnxdPqAD/L9Syp8y81z8ukPguxsbGJzpNWn4n4c+Stt95Kst72k7XRU7IaWZJy5MihGjVqPLVfSsd9FrbeFwD/XSSSAQAAgCQsWrRIWbJk0fTp0xNsW7Fihb755hvNnDlTrq6uyp07t7mq8XGRkZFWz3Pnzi3p0erCvHnzmu1XrlyxWlHn4+Oj9evXW722ePHikqTatWvL3t5eCxcuTPKGewsWLJCDg4Nq1aqVzL21rX79+vrqq6/0xRdfaODAgTb7xu9jZGSkqlWrZrUtMjLS3J4Sqf0T6cTeq5MnT1rdaC5DhgyJ/lz+ydWUKYktd+7ciouL06lTp8wvBKRHN/G6cePGMx2bxCQV0+PvzZNOnDihzJkzK126dM805+NjP35u379/X2fOnLFKkCUV39dff628efNqxYoVVn0SK/nwPPLmzasMGTLowoULkmSWe/H09ExWIs+W5s2bq0uXLoqMjNSSJUvk5uam+vXr23xNvnz5tG7dOv35559JrkrOly+fDMNQnjx55O/vn+K4UnI9e14pORcyZMigGzduJBjjt99+s3ptSjzL9SKpa4Kbm5v5iwkPDw/FxsY+9zmS2pJ7zX3878+TnrwmxK/0fvK9efL6F/8eHTlyxGaMlLkA/h0obQEAAAAk4u+//9aKFStUr149vf766wke3bp1061bt7Rq1SpJUp06dbRz507t3r3bHOPKlStatGiR1bg1atSQo6Ojpk2bZrWCbvLkyVb9XFxcVKNGDatH/H/sc+bMqXbt2mnDhg369NNPE8Q+c+ZM/fTTTwoLC0tRuQdbXn/9dRUtWlSjRo3Sjh07Emy/deuWBg0aJEkKDg5WlixZNHPmTN27d8/s88MPP+j48eOqW7duiud3c3OTlDCp8axWrlxp1nOVpN27d2vXrl2qXbu22ZYvXz6dOHFCV65cMdsOHTqkbdu2PXNsderUkZTw/Z44caIkPdOxSUxSMfn6+qpEiRKaP3++1bYjR47oxx9/NON7FjVq1JCTk5OmTp1qdW7PmTNHN2/etNq3dOnSJVqqIn616eOv37VrV6LnXHLs2rUr0VIdu3fv1rVr18yf8wcFBSlfvnwaP368bt++naD/4+fA0zRp0kT29vb66quvtGzZMtWrV++pyfkmTZrIMAwNHz48wbb4Y9G4cWPZ29tr+PDhCVbfGoaha9euJTl+Sq9nzysl50K+fPm0c+dOs3SPJK1evVrnzp175vmTOr9s2bFjh1WN43Pnzunbb7/Vq6++Knt7e9nb26tJkyZavnx5oknTlJwjqS2519zHP/+PH5/169fr2LFjVmPmzp1b9vb2+vnnn63aZ8yYYfXc29tbr7zyiubOnavo6GirbY+/9/GfgdS6hgNIG6xIBgAAABKxatUq3bp1S6+99lqi28uVKydvb28tWrRIzZs3V79+/bRw4ULVqlVLPXr0ULp06fT5558rd+7cZpkJ6dF/uvv27asxY8aoXr16qlOnjg4cOKAffvhBmTNnTnZ8kyZN0okTJ9SlSxetXbvWXHm8bt06ffvttwoJCdGECROe7yA8xtHRUStWrFCNGjX0yiuvqFmzZqpYsaIcHR119OhRffnll8qQIYNGjRolR0dHffTRR2rXrp1CQkLUokULXbp0SVOmTJGfn5969eqV4vldXV1VqFAhLVmyRP7+/sqYMaOKFCnyzHU58+fPr0qVKqlz5866d++eJk+erEyZMqlfv35mn/bt22vixIkKDQ1VWFiYLl++rJkzZ6pw4cJWNzFMSWzFixdXmzZt9Pnnn+vGjRsKCQnR7t27NX/+fDVs2NC8CdrzshXTxx9/rNq1a6t8+fIKCwvT33//rWnTpsnLy0vDhg175jm9vb01cOBADR8+XLVq1dJrr72myMhIzZgxQ6VLl9Zbb71l9g0KCtKSJUvUu3dvlS5dWu7u7qpfv77q1aunFStWqFGjRqpbt67OnDmjmTNnqlChQokmeJ9m4cKFWrRokRo1aqSgoCA5OTnp+PHjmjt3rlxcXPT+++9Lkuzs7DR79mzVrl1bhQsXVrt27ZQ9e3b98ccf2rhxozw9PfXdd98la84sWbKoatWqmjhxom7duqXmzZs/9TVVq1ZVq1atNHXqVJ06dUq1atVSXFyctmzZoqpVq6pbt27Kly+fRo4cqYEDB+rs2bNq2LChPDw8dObMGX3zzTd655131Ldv30THT+n17Hml5Fx4++239fXXX6tWrVpq1qyZoqKi9MUXX1jdFDSlkjq/bClSpIhCQ0PVvXt3OTs7mwnTx5P7Y8eO1caNG1W2bFl16NBBhQoV0p9//qn9+/drw4YN+vPPP5855ueRkmvumDFjVLduXVWqVEnt27fXn3/+qWnTpqlw4cJWnzEvLy81bdpU06ZNk8ViUb58+bR69epEa3FPnTpVlSpVUqlSpfTOO+8oT548Onv2rNasWaODBw9Kknkjw0GDBumNN96Qo6Oj6tev/8y/gACQRgwAAAAACdSvX99wcXEx7ty5k2Sftm3bGo6OjsbVq1cNwzCMX375xQgJCTFcXFyM7NmzGyNGjDDmzJljSDLOnDljvi42NtYYPny44evra7i6uhpVqlQxjhw5YuTOndto06ZNsmO8d++eMWnSJCMoKMhIly6d4ebmZpQqVcqYPHmycf/+/QT9JRldu3ZN0J6Sea9fv24MGTLEKFq0qOHm5ma4uLgYRYoUMQYOHGhcuHDBqu+SJUuMkiVLGs7OzkbGjBmNli1bGr///rtVnzZt2hjp0qVLMM/QoUONJ/+7sn37diMoKMhwcnIyJBlDhw61OUb8tty5c5vPz5w5Y0gyPv74Y2PChAlGzpw5DWdnZ6Ny5crGoUOHErz+iy++MPLmzWs4OTkZJUqUMNatW5dgTFuxJbYfDx48MIYPH27kyZPHcHR0NHLmzGkMHDjQuHv3rlW/3LlzG3Xr1k0QU0hIiBESEpLo/iYnJsMwjA0bNhgVK1Y0XF1dDU9PT6N+/frGsWPHnjrm45YtW2ZIMjZu3GjV/sknnxgBAQGGo6OjkTVrVqNz587G9evXrfrcvn3bePPNN4306dMbkszjGRcXZ4wePdrInTu34ezsbJQsWdJYvXp1osf8yX1KzC+//GK89957RqlSpYyMGTMaDg4Ohq+vr9G0aVNj//79CfofOHDAaNy4sZEpUybD2dnZyJ07t9GsWTMjIiLC7BP/nl65ciXJeWfNmmVIMjw8PIy///47wfbE9ufhw4fGxx9/bAQEBBhOTk6Gt7e3Ubt2bWPfvn1W/ZYvX25UqlTJSJcunZEuXTojICDA6Nq1qxEZGZlkPCm9nj3+OXncxo0bDUnGsmXLrNrnzZtnSDL27Nlj1Z6cc8EwDGPChAlG9uz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      "text/plain": [
       "<Figure size 1200x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "image/png": 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YmZnJrnFwcMCCBQtQt25dHD16FE2aNIGRkRHS0tKQk5Mj9/lfvnwJADA2lq+uV6xYEQ4ODnBwcEBWVhbatWuHK1euQE9PD9nZ2QgPD0diYiK0tf/6Z5adnY3Q0FC5jqYPKleujAEDBmDChAkICQkp8GuZOHGi3PcQADzCowt8n+Kqo7MVdt1Kwvuc/z67S9NN6VMLjWuUR9eph5GY8rZQ79OvlQsGtamCXj9G4EbCS+UGVFOmJobQ0pLi+UcdAc+fv4KZ2afnOQBAeOg+rFm9FytCxsHRqZIyY6otU1OjvPv/uXxX0vPnL2FmpngZg5mC7oG8602UlJJIef7LY1BY6F6Erv4DK0Mm8DHoPzAx/f/vwUdDiZ8r6Iok5ZnWugoaO1ug08ooJL5+V+C1z1IzYFZKvohqXkoXyRzFUGSmJkaK//0/f8V//6QWin2n0sckEgmkUqmsmPN3/v7+CAsLw7hx4zB37lzZ8bp16+Lly5e4cOGC7NiRI0eQk5OTb+aQlpYWypcvD11dXWzatAl169aFubni7TXLly8Pe3t72Nvbw9rausDcxsbGsLe3R/ny5YtcUPq3tLTydnz4cF85OTkhKysLsbGxctd9GObt6Oj4yY/VsWNHaGtrY+nSpQCAffv24c2bN4iJiZHrntq0aRN27twpK1R9LCgoCDdv3sTmzZsLzK6npwcjIyO5N4mO+r16WKecMWyM9bE1ngO6/6spfWqhae2K6DEjAo+epRXqfQa0dsWwDlXRd/YRXLnLHX/+LR1dbbi42uDs34Zs5w28vQb36p8uhq8J2YuVy3dj6crRqFLVVhVR1ZKurg6qVLFHVNQl2bGcnBxERcXBw8NJ4ftUr+6MM2fi5I6dPh2L6tWdlZqVSBnyHoNs5YZsfxi6Xa2Ax6DQkD+wcvnvWLpyHKpUVfwCIhVO3uNQZZz56HHozJnLqF5d8eMQfV7TWleBn6sVuq0+g0cv/vmFtZiEF6hX2UzuWH17c1xMULxsmj5NR1cbrlXscPbMZdmxvMegK6hW3UFgMiosLUmusLfioNh3KmVkZMjmHr148QKLFy9GamoqvvnmG4XX9+zZE1KpFP7+/sjNzcXYsWPh4uKCZs2aYcCAAVi+fDnev3+PYcOGoUuXLihXrhwAIDk5Gdu3b4e3tzfevXuHNWvWYNu2bYiMVLxryOeWnZ2dr9ijp6cHFxcXAPL3wwfa2tqypWcA8ObNGyQmJiI3NxcPHz7EuHHjYG5ujnr16gEAqlSpgq+//hp9+/bFvHnzYGdnhxs3bmDkyJHo3Lkzypcv/8l8EokEI0aMwNSpUzFo0CCEhISgZcuWqFatmtx1rq6uGDVqFDZs2IChQ4fm+ziWlpYIDAzEL7/8UqT750tnoC2FtfFfW9FXNCoBlzIl8TIjC09SMzCmtg0sS+ph7FH5YZXfOlshNuk1br1IV3VktTKt31f4xssGg3+JRNrb9zAzzhu6/yb9PTLe5y3//GVoXSSlvMXcTbEAgIGtXTGykztGLTyFR0/TZO+T/i4L6RlZQr6O4qxn72aYPHEVqlS1RVU3O6xfexBv32agbbsGAIBJE1bAwsIUAYGdAAChq/di6aKdmPPLYJQrZ4bkZy8BAAYGJWBQssSnPg19Qp8+bTF+fDCqVrWHu7sjwsN34e3bd2jfvgkAYNy4+bC0LIPRo/0BAL16tUbPnhMRGvobGjWqhX37TuDKlduYPn2YyC+D6F/r1bs5fpi4Aq5VbeHmVhnr1x74/8egvE1cvp+wHJYWpggIzJsDGbp6D5Ys2oE5v3yH8nwM+iz8e7fGxAkLUbVqZbi5O2Bt+B94+/Yd2rXP614fP/5XWFqURuDongDyhnvfufMIAPD+fRaeJj1HfPw9GBiUgLV1WWFfR3E0o01VtKlWDgPWnUdaRjbM/38u0ut375GRlbesf9631ZD0+h1+Ppj3t2joqfvYMtAT/evb4uiNp/jGvRzcyhtj4m+XPvl56NN6+bfEpIlLUaVqZVR1q4z1a/f9/2OQNwBg4vjFsLAsjVGB3QDkDff++7//pKcvcD3+PgwMSqCSNXcipi9LsS8qHThwAGXL5v1iMTQ0hLOzM7Zt2wZvb+9Pvk/37t0hlUrRs2dP5OTkYPz48diwYQOGDRsGX19fSKVSdOjQAQsXLpR7v/DwcIwZMwa5ubmoW7cujh07htq1ayvzy5NJTU2Fh4eH3LHKlSvj9u28XUv+fj984OTkhOvX/9qpJygoCEFBQQAAc3NzfPXVVzh06JDcTnlbtmzBlClTMGjQIDx+/BgVKlRAu3btMHny5H/M6O/vj0mTJmHRokXYu3cvNm7cmO8aqVSKdu3aISQkRGFRCQDGjBmDZcuW4d27gttyixM3C0NsaP1XgW1SvcoAgB03EjH+6E2Yl9RFOUP5wYeldLXgZ2uGH0/fUWlWddT967wuu41Tm8odH7c0Cjsj7wIAypUpiZy/LTHs1tQBujpaWDK6odz7LNx2CQu3XwYVTbPmdfAi5TWWLtqJ5ORXcHKuhKUrxsgG5yY+SZHr0ty2+Qjev8/C6JGL5T7O4O/aYsiwdirNrg5atGiAlJRXWLhwA549ewEXFzusXj1NtvztyZNnkP5tGmSNGi6YO3cMFixYj/nz18LGphyWLJkER8eCu26JvlTNmnv+/2PQjv9/DLLGshXj/vYYlCz3M7B1c8T/PwbJ/y04+Lt2+G5YB5VmVxctWtTHi5TXWLhoM5KfvYCLiy1WrgqSLf958vgZpJK/vgfPnr5A+3Z/jToIDd2F0NBd+OqrKli77sePPzwVoKdn3mP3loF15Y6P2RaH7RfzChflTfTlNtO5mPACAZtjMPprJ4z1c8L95HQMXH++wOHe9GnNW9TDixevsXjhViQnv4Sziw2Wr5z417//J8/l/g56+iwFHdv/tYFRWOgehIXuQa2vXBG2doqq42u84jIwWxRJrqKtuIiKIfvlx0VH0GxHH4pOoPGubKwsOoJGK6FVWnQEwqeXaZPyZWSfEx1Bo+lIS4qOoPHsvr8nOoJGuzXz06sqSDV0pNVFR1CKXQ/2C/vcbaybC/vchaV2M5WIiIiIiIiIiEj5iv3yNyIiIiIiIiIiZeDyt4KxU4mIiIiIiIiIiIqMnUpERERERERERAqwU6lg7FQiIiIiIiIiIqIiY6cSEREREREREZECWuxUKhA7lYiIiIiIiIiIqMhYVCIiIiIiIiIioiLj8jciIiIiIiIiIgWkklzREb5o7FQiIiIiIiIiIqIiY6cSEREREREREZEC7MQpGO8fIiIiIiIiIiIqMhaViIiIiIiIiIioyLj8jYiIiIiIiIhIAalEdIIvGzuViIiIiIiIiIioyNipRERERERERESkgBY7lQrETiUiIiIiIiIiIioyFpWIiIiIiIiIiKjIuPyNiIiIiIiIiEgBqSRXdIQvGjuViIiIiIiIiIioyNipRERERERERESkgJSDugvETiUiIiIiIiIiIioydioRERERERERESnATqWCsVOJiIiIiIiIiIiKjEUlIiIiIiIiIiIqMi5/IyIiIiIiIiJSgJ04BeP9Q0RERERERERERcZOJSIiIiIiIiIiBSQc1F0gdioREREREREREVGRsahERERERERERERFxuVvREREREREREQKcPVbwdipRERERERERERERcZOJSIiIiIiIiIiBTiou2DsVCIiIiIiIiIioiJjpxIRERERERERkQLsxCkY7x8iIiIiIiIiIioyFpWIiIiIiIiIiKjIuPyNiIiIiIiIiEgBiSRXdIQvGjuViIiIiIiIiIioyNipRERERERERESkgER0gC8cO5WIiIiIiIiIiKjIWFQiIiIiIiIiIqIi4/I3IiIiIiIiIiIFJFz/ViB2KhERERERERERUZGxU4mIiIiIiIiISAE2KhWMnUpERERERERERFRk7FQiIiIiIiIiIlJAylalArFTiYiIiIiIiIiIioxFJSIiIiIiIiIiKjIufyMiIiIiIiIiUoCr3wrGTiUiIiIiIiIiIioydioRERERERERESkgYatSgdipRERERERERERERcaiEhERERERERERFRmXvxERERERERERKcDVbwVjpxIRERERERERERUZO5VIbejoiE6g2cp0sxYdQeNJoCU6goZzFB2ASCg9ra9ERyASSuvPy6IjaDQdaXXREUhNsVOpYOxUIiIiIiIiIiKiImOnEhERERERERGRAlK2KhWInUpERERERERERFRkLCoREREREREREVGRcfkbEREREREREZECXP1WMHYqERERERERERFRkbFTiYiIiIiIiIhIAYkkV3SELxo7lYiIiIiIiIiIqMhYVCIiIiIiIiIioiLj8jciIiIiIiIiIgU4qLtg7FQiIiIiIiIiIqIiY6cSEREREREREZECErYqFYidSkREREREREREVGTsVCIiIiIiIiIiUoCdOAXj/UNEREREREREVMwtWbIENjY2KFGiBOrUqYPo6OhPXhsWFgaJRCL3VqJEiSJ/ThaViIiIiIiIiIiKsS1btiAwMBBTpkzBxYsXUa1aNfj5+eHp06effB8jIyM8efJE9vbgwYMif14WlYiIiIiIiIiIFJBIxL0Vxfz58zFgwAD06dMHrq6uWL58OQwMDBAaGlrA1yaBlZWV7M3S0rLI9w+LSkREREREREREX5iMjAy8fv1a7i0jIyPfdZmZmbhw4QKaNGkiOyaVStGkSRNERUV98uOnpqbC2toaFStWRJs2bXD16tUiZ2RRiYiIiIiIiIhIAYnAt9mzZ8PY2Fjubfbs2fkyJicnIzs7O1+nkaWlJRITExV+XU5OTggNDcWuXbuwfv165OTkoF69enj06FGR7h/u/kZERERERERE9IWZOHEiAgMD5Y7p6el9lo9dt25d1K1bV3a7Xr16cHFxwYoVKzBjxoxCfxwWlYiIiIiIiIiIvjB6enqFKiKZmZlBS0sLSUlJcseTkpJgZWVVqM+lo6MDDw8P3L59u0gZufyNiIiIiIiIiEiB4jCoW1dXFzVr1kRERITsWE5ODiIiIuS6kQqSnZ2Ny5cvo2zZskW6f9ipRERERERERERUjAUGBsLf3x+1atVC7dq1sWDBAqSlpaFPnz4AgF69eqF8+fKymUzTp0+Hp6cn7O3t8fLlS/zyyy948OAB+vfvX6TPy6ISEREREREREZECRWgYEqpz58549uwZgoKCkJiYiOrVq+PAgQOy4d0JCQmQSv9arPbixQsMGDAAiYmJMDU1Rc2aNXH69Gm4uroW6fNKcnNzcz/rV0IkiEvIcdERNFoZM66mFS2i1ecZ2kf/jp7WV6IjEBGRQJV7bREdQaPdWdtZdARSU4/S9gj73BVKfiPscxcWO5WIiIiIiIiIiBSQFpdWJUHYWkBEREREREREREXGohIRERERERERERUZl78RERERERERESnA1W8FY6cSEREREREREREVGTuViIiIiIiIiIgUkEhyRUf4orFTiYiIiIiIiIiIioxFJSIiIiIiIiIiKjIufyMiIiIiIiIiUoCDugvGTiUiIiIiIiIiIioydioRERERERERESkgYatSgdipRERERERERERERcaiEhERERERERERFRmXvxERERERERERKcDVbwVjpxIRERERERERERUZO5WIiIiIiIiIiBRgJ07BeP8QEREREREREVGRsVOJiIiIiIiIiEgBCYcqFYidSkREREREREREVGQsKhERERERERERUZFx+RsRERERERERkUJc/1YQdioREREREREREVGRsVOJiIiIiIiIiEgBCTuVCsROJSIiIiIiIiIiKjIWlYiIiIiIiIiIqMi4/I2IiIiIiIiISAGJhL04BeG9Q0RERERERERERcZOJSIiIiIiIiIihTiouyDsVCIiIiIiIiIioiJjpxIRERERERERkQISdioVSKM7lXr37g2JRCJ7K1OmDJo1a4ZLly7JXSeRSPD777/Lbr9//x5du3ZF+fLlceXKFQDAzJkzUa9ePRgYGMDExOSTnzMsLAzu7u4oUaIELCwsMHTo0M/ytSQmJiIgIAD29vYoUaIELC0t4eXlhWXLliE9PV12nY2NjdzX/OFtzpw5AID79+9DIpHAwsICb968kfsc1atXx9SpU2XXFPQWFhYGAHj79i1Kly4NMzMzZGRk5Mv9Ic+ZM2fkjo8cORLe3t6f5b75EtSyMsbSplUQ2aUO4vs1hK91mQKvn9XAEfH9GuZ729O+pooSq5dqZYzwUx1X/O73FU62qY8GVqULvN6jjDFOtqmf7620no6KEqunzRsPo1mTkahVvQ+6dZ6Cy5fufPLa7duOwr/HdHh5DoSX50AM6Du7wOuJiIhIscGtXPDb1KaIW9Ee0YvbYHmAF2ytDAt8n87edtg8qTEuLmuHi8vaYe34RnC3K/jvJyLSTBrfqdSsWTOsWbMGQF5h5ocffkCrVq2QkJCg8Pr09HR06NABt27dwsmTJ2FrawsAyMzMxLfffou6desiJCRE4fvOnz8f8+bNwy+//II6deogLS0N9+/f/89fw927d+Hl5QUTExPMmjULbm5u0NPTw+XLl7Fy5UqUL18erVu3ll0/ffp0DBgwQO5jGBrK/2J58+YN5s6di2nTpuX7fBUrVsSTJ09kt+fOnYsDBw7gf//7n+yYsbExAGDHjh2oUqUKcnNz8fvvv6Nz5875Pl6JEiUwfvx4REZG/rs7oBjQ15biRkoadt5MxKImVf7x+lln7mD++Xuy21oSCX5vVxMH7iUrM6ba0tfSwu1XqdibkIRZtV0K/X5d/3ceaVnZstsvMt4rI55GOLD/DH75aQMmT+kDN3d7rF93AIMH/oTde39BmTLG+a4/Hx2P5i3ronp1R+jp6SB09R4MHvATdu6eA0tL/lFLRERUWHWczbH+f7dw6V4KtKRSjPnWDeHjGsFvwn68zcz+xPtYYM+ZBFy8lYyM99kY1NIF4WMbodn3B5D04q2KvwIi+pJpfFFJT08PVlZWAAArKytMmDABDRo0wLNnz2Bubi537cuXL9GyZUukpqbi5MmTsvcDICu+fOjQ+diLFy/www8/YM+ePfD19ZUdd3d3/89fw3fffQdtbW2cP38eJUuWlB23s7NDmzZtkJubK3e9oaGhXHZFhg8fjvnz52Po0KGwsLCQO6elpSX3/qVKlYK2trbCjxkSEoIePXogNzcXISEhCotKAwcOxPLly7Fv3z60aNGiUF9zcXPi0QucePSi0Nenvs9G6vu/fsn7WpeBkZ42fruVqIx4au/M0xc487Tw9/8HLzLeIzVL8R9bVDRrw/ajw7c+aNu+EQBg8pQ+OBEZi993RqLfgNb5rp/zy3dyt6fOGID/HT6Hs2euonWbBirJTEREpA76zD0ud3vcqmicW9IWVW1L49yNZwrfJ3C5/CqCiSHn4PdVBdRztcRvp+4rKyrRF4rL3wqi0cvfPpaamor169fD3t4eZcrIL09KTExEo0Z5T4YiIyP/sSjzscOHDyMnJwd//vknXFxcUKFCBXTq1AkPHz78T5mfP3+OQ4cOYejQoXIFpb+TSIr+Q9C1a1fY29tj+vTp/zrbnTt3EBUVhU6dOqFTp044ceIEHjx4kO86W1tbDB48GBMnTkROTs6//nzqrIOjFaIev8Tj1PxLCEl51vh44He/2giuWwVupQtuE6dPe5+Zhfhr9+Dp+VeXnlQqRZ26VRAXe7tQH+PduwxkZWXD2LiUsmISERFpBEP9vOX8r1IzC/0++npa0NGS4GUa/xYlInkaX1T6448/UKpUKZQqVQqGhobYvXs3tmzZAqlU/q4JCAhAZmYmDh8+XODMpE+5e/cucnJyMGvWLCxYsADbt29HSkoKmjZtiszMwj+gf+z27dvIzc2Fk5OT3HEzMzPZ1zV+/Hi5c+PHj5ed+/B24sQJuWs+zFlauXIl7tz5d3NMQkND0bx5c5iamqJ06dLw8/OTLTX82A8//IB79+5hw4YNhfrYGRkZeP36tdxbzvt/fz9+ycwNdNGgQmlsv/Hkny+mzyI5IxO/xN7GD9Hx+CE6Hk/fZmKRlxscjRUXbqlgL16+QXZ2DsqYyS9zK1PGGMnJrwr1MYLnbYa5hSk86/7z8lEiIiJSTCIBfujhgfM3n+Hmn4X7HQwA4zpXQ9KLdzh1NUmJ6Yi+TBKJVNhbcVA8UiqRj48PYmNjERsbi+joaPj5+aF58+b5OmpatWqFmzdvYsWKFf/q8+Tk5OD9+/dYuHAh/Pz84OnpiU2bNuHWrVs4evSowvcZPHiwXOGnKKKjoxEbG4sqVarkG5A9duxY2df84a1WrVr5Poafnx/q16+PyZMnF+lzA0B2djbCw8PRo0cP2bEePXogLCxMYTeSubk5xowZg6CgoEIV2WbPng1jY2O5t+f7CleQKm7a2lviTWYWIh48Fx1FYzxMfYtdDxJx41Uarrx4g9mxt3A55Q06VS4vOppGClm1Gwf2ncGChSOhp6crOg4REVGxNa1XTTiWN0bAkqhCv8+gVs5oVacihiw8icz3XFVARPI0fqZSyZIlYW9vL7u9evVqGBsbY9WqVfjxxx9lx3v27InWrVujb9++yM3NRWBgYJE+T9myZQEArq6usmPm5uYwMzP75FDw6dOnY8yYMQV+XHt7e0gkEty4cUPuuJ2dHQBAX18/3/uYmZnJfc0FmTNnDurWrYuxY8cW6voPDh48iD///DPfDKXs7GxERESgadOm+d4nMDAQS5cuxdKlS//x40+cODHf9+CrjdFFylhcdHC0wu7bSXifk/vPF5PSxL94A/cyRqJjFEumJobQ0pLi+UddSc+fv4KZWf4h3X8XFroXoav/wMqQCXB0qqTMmERERGptSs8aaFy9HLrMPILEQg7b7t/cCYNbuqDXz8dw42HhO5uISHNofKfSxyQSCaRSKd6+zf9A6+/vj7CwMIwbNw5z584t0sf18vICALniT0pKCpKTk2Ftba3wfSwsLGBvby97U6RMmTJo2rQpFi9ejLS0tCJlKozatWujffv2mDBhQpHeLyQkBF26dMnXEdWlS5dP7o5XqlQpTJ48GTNnzsSbN28K/Ph6enowMjKSe5PqqF8Hw1dWxrA21seOmxzQLZqDcUk8f6eeSyyVTUdXGy6utjh75qrsWE5ODs6euYpq1T9d4A4N+QMrl/+OpSvHoUpVO1VEJSIiUktTetbA1zXLo8eco3iUXLjnDANbOGNYG1f0mXscl+8VfcMTIvUhEfj25dP4TqWMjAwkJuY9YX/x4gUWL16M1NRUfPPNNwqv79mzJ6RSKfz9/ZGbmyvr4ElISEBKSgoSEhKQnZ2N2NhYAHmdRKVKlYKjoyPatGmDgIAArFy5EkZGRpg4cSKcnZ3h4+Pzn76GpUuXwsvLC7Vq1cLUqVPh7u4OqVSKc+fO4fr166hZs6bc9W/evJF9zR8YGBjAyEhxF8bMmTNRpUoVaGsX7p/Ls2fPsGfPHuzevRtVq1aVO9erVy+0a9cOKSkpKF06/7bgAwcORHBwMDZu3Ig6deoU6vMVBwbaUlQy+qtrrEKpEnAuXRKvMrLwJC0Do2rZwNJADxOOy3ecdXSyQtzT17j1Il3VkdWKvpYU5Uv+df+XNSgBe6OSePM+C0lvMzDIxRrm+nr48eJNAMC3duXwJP0d7r1Jh65Uim+sLVHD3ASBp6+I+hKKvV69m+OHiSvgWtUWbm6VsX7tAbx9m4G27fI2QPh+wnJYWpgiIDCvuzF09R4sWbQDc375DuXLmSH52UsAgIFBCRiULCHqyyAiIip2pvnXRGvPShi04CRS32XBzDjv9+ib9PfI+P/dhucOrIPEF+mYu+0yAGBgS2eMbF8Vo5adwaPkNNn7pL/LQnpGlpgvhIi+SBpfVDpw4IBsaZqhoSGcnZ2xbds2eHt7f/J9unfvDqlUip49eyInJwfjx49HUFAQwsPDZdd4eHgAAI4ePSr7WGvXrsWoUaPQsmVLSKVSNGrUCAcOHICOjs5/+hoqV66MmJgYzJo1CxMnTsSjR4+gp6cHV1dXjBkzBt99J781d1BQEIKCguSODRo0CMuXL1f48R0dHdG3b1+sXLmyUHnWrl2LkiVLwtfXN985X19f6OvrY/369RgxYkS+8zo6OpgxYwa6detWqM9VXFQxM8TaltVktyd4VgYA/HYzEd+fuAlzfV2ULaUn9z6ldLTQ1MYMs8/8u0Hp9BdnE0Msqu8muz3CLa/rZV9CEmbF3EKZErqw1P/r/teRSjCsii3M9XXxLjsHd16lYeTpK4gp5FBpyq9Zc0+8SHmNpYt2IDn5FZycrbFsxTjZ8O7EJ8mQSv96NWbr5gi8f5+F0SMXyn2cwd+1w3fDOqg0OxERUXHWwzevK3jTpMZyx8etPIsdJ+8DAMqWMUBO7l+jFro3toeejhaWjvCSe59ff7uChb9dBZEmkRSTjiFRJLm5uRzUQmrBJeS46AgarYwZV9OKFtFK758vIqXR0/pKdAQiIhKocq8toiNotDtrO//zRUT/wpv3EcI+t6FO/kaNL43GdyoRERERERERESnCTqWCsbWAiIiIiIiIiIiKjEUlIiIiIiIiIiIqMi5/IyIiIiIiIiJSiL04BeG9Q0RERERERERERcZOJSIiIiIiIiIiBSQSDuouCDuViIiIiIiIiIioyFhUIiIiIiIiIiKiIuPyNyIiIiIiIiIihbj8rSDsVCIiIiIiIiIioiJjpxIRERERERERkQISdioViJ1KRERERERERERUZOxUIiIiIiIiIiJSiL04BeG9Q0RERERERERERcaiEhERERERERERFRmXvxERERERERERKcBB3QVjpxIRERERERERERUZO5WIiIiIiIiIiBSQSNipVBB2KhERERERERERUZGxqEREREREREREREXG5W9ERERERERERApx+VtB2KlERERERERERERFxk4lIiIiIiIiIiIFJOzFKRDvHSIiIiIiIiIiKjJ2KhERERERERERKcSZSgVhpxIRERERERERERUZi0pERERERERERFRkXP5GRERERERERKSARMLlbwVhpxIRERERERERERUZO5WIiIiIiIiIiBRip1JB2KlERERERERERERFxqISEREREREREREVGZe/EREREREREREpIGEvToF47xARERERERERUZGxU4mIiIiIiIiISCEO6i4IO5WIiIiIiIiIiKjI2KlERERERERERKSAhJ1KBWKnEhERERERERERFRmLSkREREREREREVGRc/kZEREREREREpIBEwuVvBWGnEhERERERERERFRk7lYiIiIiIiIiIFGIvTkF47xARERERERERUZGxqEREREREREREREXG5W9ERERERERERApIwEHdBWGnEhERERERERERFRk7lYiIiIiIiIiIFGKnUkHYqUREREREREREREXGohIRERERERERERUZl78RERERERERESkgkXD5W0HYqUREREREREREREXGTiUiIiIiIiIiIoXYi1MQ3jtERERERERERFRk7FQiIiIiIiIiIlJAAs5UKgg7lYiIiIiIiIiIqMhYVCIiIiIiIiIioiKT5Obm5ooOQaTpMjIyMHv2bEycOBF6enqi42gc3v/i8XsgFu9/8fg9EIv3v3j8HojF+188fg+ouGJRiegL8Pr1axgbG+PVq1cwMjISHUfj8P4Xj98DsXj/i8fvgVi8/8Xj90As3v/i8XtAxRWXvxERERERERERUZGxqEREREREREREREXGohIRERERERERERUZi0pEXwA9PT1MmTKFQ/kE4f0vHr8HYvH+F4/fA7F4/4vH74FYvP/F4/eAiisO6iYiIiIiIiIioiJjpxIRERERERERERUZi0pERERERERERFRkLCoREREREREREVGRsahERBolNzcXCQkJePfunegoRERERERExRqLSkSkUXJzc2Fvb4+HDx+KjkIkzJQpU/DgwQPRMYiIAIAv9AiUkZGBjIwM0TGIqBjj7m9EAqSlpWHOnDmIiIjA06dPkZOTI3f+7t27gpJphipVqiAkJASenp6io2is3bt3KzwukUhQokQJ2Nvbw9bWVsWpNEf16tVx5coVNGrUCP369UOHDh24hbGKtWvXDhKJJN/xv/8MdOvWDU5OTgLSqbdr165h8eLFiIqKQmJiIgDAysoKdevWxbBhw+Dq6io4oWbIycnBzJkzsXz5ciQlJeHmzZuws7PD5MmTYWNjg379+omOqLYOHz6M4OBgREVF4fXr1wAAIyMj1K1bF4GBgWjSpInghJohOzsbYWFhn3w+cOTIEUHJiIqGRSUiAbp27YrIyEj07NkTZcuWzffEIiAgQFAyzbBnzx78/PPPWLZsGapWrSo6jkaSSqWQSCT4+FfQh2MSiQT169fH77//DlNTU0Ep1VtMTAzWrFmDTZs2ISsrC126dEHfvn3x1VdfiY6mEXr37o3ff/8dJiYmqFmzJgDg4sWLePnyJb7++mvExcXh/v37iIiIgJeXl+C06mP//v1o27YtatSoAT8/P1haWgIAkpKScPjwYVy4cAG7du2Cn5+f4KTqb/r06QgPD8f06dMxYMAAXLlyBXZ2dtiyZQsWLFiAqKgo0RHVUnh4OPr374+OHTvm+xk4dOgQtm/fjpCQEPTs2VNwUvU3bNgwhIWFoWXLlgqfDwQHBwtKRlQ0LCoRCWBiYoK9e/fyiYIgpqamSE9PR1ZWFnR1daGvry93PiUlRVAyzREREYFJkyZh5syZqF27NgAgOjoakydPxg8//ABjY2MMGjQIderUQUhIiOC06u39+/fYs2cP1qxZg4MHD8LZ2Rn9+vVD7969YWxsLDqe2powYQJev36NxYsXQyrNm0aQk5ODgIAAGBoaYubMmRg8eDCuXr2KkydPCk6rPqpVq4Y2bdpg+vTpCs9PnToVO3fuxKVLl1ScTPPY29tjxYoV8PX1haGhIeLi4mBnZ4fr16+jbt26ePHiheiIasnR0REBAQEYOnSowvNLly5FcHAwbt26peJkmsfMzAxr165FixYtREch+k9YVCISwNbWFvv27YOLi4voKBopPDy8wPP+/v4qSqK5qlatipUrV6JevXpyx0+dOoWBAwfi6tWr+N///oe+ffsiISFBUErNkJmZid9++w2hoaE4cuQI6tWrh8ePHyMpKQmrVq1C586dRUdUS+bm5jh16hQcHR3ljt+8eRP16tVDcnIyLl++jAYNGuDly5diQqohfX19xMbGfnJZ4Y0bN1C9enW8fftWxck0j76+Pq5fvw5ra2u5otK1a9dQu3ZtpKamio6olkqUKIG4uDj+DHwBypUrh2PHjuX7PUBU3GiLDkCkiWbMmIGgoCCEh4fDwMBAdByNw6KReHfu3IGRkVG+40ZGRrKZYg4ODkhOTlZ1NI1x4cIF2fI3PT099OrVC0uWLIG9vT0AYNGiRRgxYgSLSkqSlZWF69ev53sycf36dWRnZwPIe/KnaO4S/Xs2NjbYu3fvJ59Q7927F9bW1ipOpZlcXV1x4sSJfPf39u3b4eHhISiV+vswV/Lnn39WeD40NJRzxVRk9OjR+PXXX7F48WI+1lOxxqISkQDz5s3DnTt3YGlpCRsbG+jo6Midv3jxoqBkmiM7Oxu///474uPjAeT9kdW6dWtoaWkJTqYZatasibFjx2Lt2rUwNzcHADx79gzjxo2TzfS5desWKlasKDKm2nJzc8P169fx9ddfIyQkBN98802+f/tdu3blfDcl6tmzJ/r164fvv/9e9m/+3LlzmDVrFnr16gUAiIyMRJUqVUTGVDvTp09Ht27dcOzYMTRp0kRunkxERAQOHDiAjRs3Ck6pGYKCguDv748///wTOTk52LlzJ27cuIG1a9fijz/+EB1Pbc2bNw+tWrXCgQMHFP4M3L17F3v37hWcUn21b99e7vaRI0ewf/9+VKlSJd/zgZ07d6oyGtG/xuVvRAJMmzatwPNTpkxRURLNdPv2bbRo0QJ//vmn7NXqGzduoGLFiti7dy8qV64sOKH6u3HjBtq0aYN79+7JCkcPHz6EnZ0ddu3aBUdHR/z+++948+YNh4UqwYwZM9C3b1+UL19edBSNlZ2djTlz5mDx4sVISkoCAFhaWmL48OEYP348tLS0kJCQAKlUigoVKghOq15Onz6NhQsXKtz9LSAgAHXr1hWcUHOcOHEC06dPR1xcHFJTU1GjRg0EBQXh66+/Fh1Nrd2/fx/Lli3DmTNn8v0MDB48GDY2NmIDqrE+ffoU+to1a9YoMQnR58OiEhFpnBYtWiA3NxcbNmxA6dKlAQDPnz9Hjx49IJVK+QqdiuTk5ODQoUO4efMmAMDJyQlNmzaVDS0m0hR/39KbiIiIqDhhUYmINE7JkiVx5swZuLm5yR2Pi4uDl5cXh4OSWgoMDCz0tfPnz1diEiKivOWeOTk5qFOnjtzxs2fPQktLC7Vq1RKUjIiIioIzlYhUpHTp0rh58ybMzMxgampa4EA+bmmvXHp6enjz5k2+46mpqdDV1RWQSDNFREQgIiICT58+RU5Ojty50NBQQanUV0xMTKGu47BQ1UhKSsKYMWNkPwMfv8b3YVg3kboaOnQoxo0bl6+o9Oeff+Knn37C2bNnBSUjUp3t27dj69atSEhIQGZmptw5zlil4oJFJSIVCQ4OhqGhIQBgwYIFYsNouFatWmHgwIEICQlB7dq1AeS9Mjp48GC0bt1acDrNMG3aNEyfPh21atVC2bJlWchQgaNHj4qOQH/Tu3dvJCQkYPLkyfwZII107do11KhRI99xDw8PXLt2TUAiItVauHAhJk2ahN69e2PXrl3o06cP7ty5g3PnzmHo0KGi4xEVGpe/EZHGefnyJfz9/bFnzx7ZThtZWVlo3bo11qxZAxMTE7EBNUDZsmXx888/cwg3aSxDQ0OcOHEC1atXFx2FSIgyZcrgjz/+yDcY/fTp02jZsiVevHghKBmRajg7O2PKlCno2rUrDA0NERcXBzs7OwQFBSElJQWLFy8WHZGoUFhUIhLo6dOnCpf+uLu7C0qkWW7fvo34+HgAgIuLC+zt7QUn0hxlypRBdHQ0d9oTJC0tDXPmzPnk8sO7d+8KSqY5XF1dsWHDBnh4eIiOQiRE165d8eTJE+zatQvGxsYA8l70adu2LSwsLLB161bBCTXHh6eD7JhULQMDA8THx8Pa2hoWFhY4fPgwqlWrhlu3bsHT0xPPnz8XHZGoULj8jUiACxcuwN/fH/Hx8fnmaEgkEs7SULLjx4/D2dkZ9vb2coWk9+/fIyoqCg0bNhSYTjP0798fGzduxOTJk0VH0Uj9+/dHZGQkevbsyaVXgixYsAATJkzAihUruH23IBEREQgODpZ7cWHkyJFo0qSJ4GSaYe7cuWjYsCGsra1lxdXY2FhYWlpi3bp1gtNphpCQEAQHB+PWrVsAAAcHB4wcORL9+/cXnEwzWFlZISUlBdbW1qhUqRLOnDmDatWq4d69e/meHxB9ydipRCRAtWrVULlyZYwfPx6Wlpb5ntBZW1sLSqYZpFIpLC0t8dtvv8HT01N2PCkpCeXKlWNRTwUCAgKwdu1auLu7w93dXbYM8QPuPqZcJiYm2Lt3L7y8vERH0VimpqZIT09HVlYWDAwM8v0McMMG5Vq6dCkCAgLQsWNH2fKrM2fOYPv27QgODuY8ExVJS0vDhg0bEBcXB319fbi7u6Nr1675fh7o8wsKCsL8+fMxfPhw2c9AVFQUFi9ejFGjRmH69OmCE6q//v37o2LFipgyZQqWLFmCsWPHwsvLC+fPn0f79u0REhIiOiJRobCoRCSAoaEhYmJiuNxKEKlUioCAAKxcuRJLlixB7969AeQVlcqWLZtvKRB9fj4+Pp88J5FIcOTIERWm0Ty2trbYt28fXFxcREfRWOHh4QWe9/f3V1ESzVShQgVMmDABw4YNkzu+ZMkSzJo1C3/++aegZESqYW5ujoULF6Jr165yxzdt2oThw4cjOTlZUDLNkZOTg5ycHGhr5y0e2rx5M06fPg0HBwcMGjSIOxJTscGiEpEAbdu2Rc+ePdGhQwfRUTSSlpYWnjx5gpMnT6JXr14YOHAg5s2bh6dPn7JTiTTC+vXrsWvXLoSHh8PAwEB0HCKVK1WqFGJjY/O9uHPr1i14eHggNTVVUDLNc+3aNYXbqXM3VuUyMTHBuXPn4ODgIHf85s2bqF27Nl6+fCkmGBEVOywqEQmQnJwMf39/1K5dG1WrVs3X5s0/pJRLKpUiMTERFhYWiImJQZs2beDq6opff/0Vrq6uLCqR2vPw8MCdO3eQm5sLGxubfI9BFy9eFJRMvb1+/RpGRkay/y/Ih+tIObp16wYPDw+MHTtW7vjcuXNx/vx5bN68WVAyzXH37l20a9cOly9fhkQiyTcsmr+LlWv48OHQ0dHJt9x8zJgxePv2LZYsWSIomXq7dOkSqlatCqlUikuXLhV4balSpVCxYkUuB6UvHotKRALs2bMHPXv2VPikgoO6le/vRSUASExMRNu2bfHo0SM8efKE97+StG/fHmFhYTAyMkL79u0LvHbnzp0qSqWZpk2bVuD5KVOmqCiJZvnQJWlhYQGpVKpwQHpubi5/D6jAjz/+iLlz58LLy0tuptKpU6cwevRouaLeiBEjRMVUa9988w20tLSwevVq2NraIjo6Gs+fP8fo0aMxd+5cNGjQQHREtTZ8+HCsXbsWFStWlM2XPHv2LBISEtCrVy+5QgbnHH4+f/8b9MPvgYKejhsbG2P58uXo3LmzClMSFQ2LSkQC2NjYoFWrVpg8eTIsLS1Fx9E4ffr0wcKFC2FoaCg7lpGRgYEDB+L48eO4d++ewHTq6+/3e58+fQq8ds2aNSpKRaQ6kZGR8PLygra2NiIjIwu8tlGjRipKpZlsbW0LdZ1EIsHdu3eVnEYzmZmZ4ciRI3B3d4exsTGio6Ph5OSEI0eOYPTo0YiJiREdUa0VNNvw7zjn8PN68OABKlWqBIlEggcPHhR4bUZGBrZt24ZVq1bh/v37qglI9C+wqEQkgKGhIWJjY1G5cmXRUYhIA719+xaHDx/GzZs3AQBOTk5o0qQJ9PX1BScjIk1hamqKixcvwtbWFpUrV8bq1avh4+ODO3fuwM3NDenp6aIjEgn34sUL9OvXjx3c9EXTFh2ASBO1b98eR48eZVFJsPT0dIXDQd3d3QUlIlK+3bt3o3///vl29jEzM0NISAi++eYbQcnU3z/Nz/g7Pg6Jc/78edSqVUt0DLVXtWpVxMXFwdbWFnXq1MHPP/8MXV1drFy5EnZ2dqLjabTt27ejY8eOomNojIL+HjU1NWVBib547FQiEmDmzJlYsGABWrZsCTc3t3wD+Di/QbmePXuGPn36YP/+/QrPc5aJ8j1//hxBQUE4evQonj59ipycHLnzKSkpgpKpt9OnT8Pb2xutW7fG6NGj4eLiAiBv96V58+bhjz/+QGRkpGy+Bn1ehZmfAXC2niqkpqZCS0tLrjsvNjYWkydPxr59+3j/q8DBgweRlpaG9u3b4/bt22jVqhVu3ryJMmXKYMuWLWjcuLHoiGorKysL169fh66uLhwdHWXHd+3ahaCgIFy/fh0ZGRkCE2oG/j1K6oJFJSIBCprlwPkNyte9e3c8ePAACxYsgLe3N3777TckJSXhxx9/xLx589CyZUvREdVeixYtcPv2bfTr1w+Wlpb5Bhb7+/sLSqbeWrRogYoVK2LFihUKzw8aNAgPHz7Evn37VJxMM/zT/Iy/s7a2VmISzfXw4UN06tQJ0dHR0NLSwrBhw/Djjz9i8ODB2LJlC9q1a4dRo0ahTp06oqOqrdDQUHTv3h16enr5zqWkpMDU1FThEHv6PK5cuYJWrVrh4cOHAIA2bdpg2bJl6NSpE65cuYIBAwZg2LBhqFChguCk6o9/j5K6YFGJiDRO2bJlsWvXLtSuXRtGRkY4f/48HB0dsXv3bvz88884efKk6Ihqz9DQECdPnkS1atVER9EopUuXRmRkJNzc3BSev3TpEho1aoQXL16oOJnmSUtLQ8mSJUXH0DhdunTBjRs3ZDNKIiMjUaNGDdSpUwcTJkzgE2kV+PsuiABQrlw5nD59GjY2NmKDaYiWLVsiIyMDI0eOxKZNm7Bp0yY4OTmhX79+GDp0KGfrqRD/HiV1IRUdgIhI1dLS0mR/zJqamuLZs2cAADc3N1y8eFFkNI3h7OyMt2/fio6hcd6+fSu3VfrHjI2N8e7dOxUm0lyWlpbo27cvnzSo2PHjx7Fs2TIMGzYMmzdvRm5uLrp3747FixezoKQiH7+e/ebNm3xLoEl5zp07h7lz56JVq1ZYunQpAOD777/HmDFjWFBSMf49SuqCg7qJBHn06BF2796tcDDf/PnzBaXSDE5OTrhx4wZsbGxQrVo1rFixAjY2Nli+fDnKli0rOp5GWLp0KSZMmICgoCBUrVo131yxggof9O85ODjgyJEj6NOnj8LzERERcHBwUHEqzbR+/XqEhYWhcePGsLGxQd++fdGrVy+UK1dOdDS1lpSUJFuCbmFhAQMDAzRv3lxwKiLVSU5Olj3OGBsbo2TJkpyjJwj/HiV1waISkQARERFo3bo17OzscP36dVStWhX3799Hbm4uatSoITqe2gsICMCTJ08AAFOmTEGzZs2wYcMG6OrqIiwsTGw4DWFiYoLXr1/nG8Sam5vLIcVK1KdPH4wZMwaWlpZo0aKF3Lm9e/di3Lhx+P777wWl0yxt27ZF27Zt8ezZM6xbtw5hYWGYPHky/Pz80LdvX7Ru3Rra2vwzTRmkUqnc/+vq6gpMo3kkEonczKSPb5NySSQSvHnzBiVKlJD9zn379i1ev34tdx1f3FE+/j1K6oIzlYgEqF27Npo3b45p06bB0NAQcXFxsLCwQPfu3dGsWTMMGTJEdESNkp6ejuvXr6NSpUowMzMTHUcj1K5dG9ra2ggICFA4qLtRo0aCkqm3nJwcdO7cGTt27ICTkxNcXFyQm5uL+Ph43Lp1C23btsW2bdvknnST6ixatAhjx45FZmYmzMzMMHjwYEyYMAEGBgaio6kNqVQKY2Nj2WPOy5cvYWRklO/fPHegVB5+D8T6sAvlBx8KSx/f5os7ynPv3j2Fm/bw71EqrlhUIhLA0NAQsbGxqFy5MkxNTXHy5ElUqVIFcXFxaNOmDe7fvy86okZ69+4dFi9ejDFjxoiOovYMDAwQExMDJycn0VE00pYtW7Bp0ybcvHkTAODo6IguXbqgS5cugpNpnqSkJISHhyMsLAwPHjxAu3bt0K9fPzx69Ag//fQTypUrh0OHDomOqTbCw8MLdR13oFQefg/EioyMLNR1fHFHeaRSKaytreHj44PGjRvD29ubM92oWGNRiUgAKysrHD16FC4uLnB1dcWcOXPQunVrxMXFwcvLC6mpqaIjqq1nz57h7Nmz0NXVha+vL7S0tPD+/XssXboUs2fPRlZWFpKTk0XHVHsNGzZEUFAQmjRpIjoKkRA7d+7EmjVrcPDgQbi6uqJ///7o0aMHTExMZNfcuXMHLi4u+ebuERFR8XXs2DHZ29mzZ5GZmQk7Ozs0btwYPj4+8PHxgaWlpeiYRIXGxfpEAnh6euLkyZNwcXFBixYtMHr0aFy+fBk7d+7ksEQlOnnyJFq1aoXXr19DIpGgVq1aWLNmDdq2bQttbW1MnTqVr4yqyPDhwxEQEICxY8fCzc0t36Bud3d3QcmIVKNPnz7o0qULTp06ha+++krhNeXKlcOkSZNUnIyIiJTJ29sb3t7eAPK65E+fPi0rMoWHh+P9+/dwdnbG1atXxQYlKiR2KhEJcPfuXaSmpsLd3R1paWkYPXo0Tp8+DQcHB8yfPx/W1taiI6olb29vlCtXDt9//z3Cw8Mxb948ODg4YObMmejYsaPoeBpF0cweiUTCWQ6kMdLT0zkriYiIAACZmZk4deoU9u/fjxUrViA1NZV/C1GxwaISEWmMMmXK4MSJE3B1dcXbt29RqlQp7Ny5E23atBEdTeM8ePCgwPMsrJK609LSwpMnT2BhYSF3/Pnz57CwsOCTCSIiNZaZmYkzZ87g6NGjsmVwFStWRMOGDdGwYUM0atQIlSpVEh2TqFC4/I1IADs7O5w7dw5lypSRO/7y5UvUqFEDd+/eFZRMvb148UK2m4a+vj4MDAxQtWpVwak0E4tGpOk+9ZpeRkYGt7gnIlJjjRs3xtmzZ2Fra4tGjRph0KBB2LhxI8qWLSs6GtG/wqISkQD3799X+Cp0RkYG/vzzTwGJNMe1a9eQmJgIIO9J3Y0bN5CWliZ3Def5qMbjx49x8uRJPH36FDk5OXLnRowYISgVkXItXLgQQN5yz9WrV6NUqVKyc9nZ2Th+/DicnZ1FxSMiIiU7ceIEypYtK9v5rVGjRvleaCYqTrj8jUiFdu/eDQBo27YtwsPDYWxsLDuXnZ2NiIgIHD58GDdu3BAVUa1JpVLZ3J6PcZ6PaoWFhWHQoEHQ1dVFmTJlIJFIZOckEgm79ZQsLS0Nc+bMQUREhMKiHu9/5bG1tQWQtwS0QoUK0NLSkp3T1dWFjY0Npk+fjjp16oiKqLYCAwMLfe38+fOVmERz8Xvw5Xj37h0WLVqEo0ePKvw9cPHiRUHJ1F9aWhpOnDiBY8eO4ejRo4iNjYWjoyMaNWokKzKZm5uLjklUaCwqEanQh+HEigobOjo6sLGxwbx589CqVSsR8dTeP83x+YBLs5SvYsWKGDx4MCZOnKhwaDcpV9euXREZGYmePXuibNmyckU9AAgICBCUTHP4+Phg586dMDU1FR1FY/j4+BTqOolEgiNHjig5jWbi9+DL0b17dxw6dAgdO3aEpaVlvt8DU6ZMEZRM87x58wYnT56UzVeKi4uDg4MDrly5IjoaUaGwqEQkgK2tLc6dOyeb70OkacqUKYPo6GhUrlxZdBSNZGJigr1798LLy0t0FPp/WVlZePfundxyOCIiZTE2Nsa+ffv4e+ALkJOTg3PnzuHo0aM4evQoTp48iXfv3rFznooNvjxMJMC9e/dYUCKN1q9fP2zbtk10DI1lamqK0qVLi46hkfbs2YOwsDC5YzNnzkSpUqVgYmKCr7/+Gi9evBATjog0Rvny5WFoaCg6hkbKyclBdHQ0fv75ZzRv3hwmJiaoV68eli5dCisrKyxZsoTL0KlYYacSkYosXLgQAwcORIkSJWSDWj+FQ4pJ3WVnZ6NVq1Z4+/Yt3NzcoKOjI3eeszSUa/369di1axfCw8NhYGAgOo5G8fHxQceOHTF06FAAwOnTp9GgQQNMnz4dLi4umDRpEpo3b86fASVo3749wsLCYGRkhPbt2xd47c6dO1WUSrP80/3+d/weKNf+/fuxcOFCLF++nMv+VczIyAhpaWmwsrKCj48PfHx84O3tze5tKra4+xuRigQHB6N79+4oUaIEgoODP3mdRCJhUYnU3uzZs3Hw4EE4OTkBQL5B3fT5eXh4yN23t2/fhqWlJWxsbPIV9TigVXmuXr0qVzDavn07mjZtikmTJgEASpQogYCAABaVlMDY2Fj2M/D3jTJIdXi/fzlq1aqFd+/ewc7ODgYGBvl+D6SkpAhKpv5++eUX+Pj4wNHRUXQUos+CnUpERKRypqamCA4ORu/evUVH0RjTpk0r9LUc0Ko8+vr6uHHjBipVqgQAqF27Nr799luMHTsWQN6GAq6urkhLSxMZk4jUXJMmTZCQkIB+/fopHNTt7+8vKBkRFTfsVCJSoVq1aqF///7o3r0717EL1LhxY+zcuRMmJiZyx1+/fo22bdtyxxkV0NPT43BQFWOh6MtQvnx5xMfHo1KlSkhNTUVcXJxc9+rz58+5JFFFLl26hJs3bwIAnJyc4ObmJjgRkeqcPn0aUVFRqFatmugoRFTMcVA3kQpVq1YN48aNg5WVFXr27Iljx46JjqSRjh07hszMzHzH3717hxMnTghIpHkCAgKwaNEi0TE01sOHD/Ho0SPZ7ejoaIwcORIrV64UmEozfPvttxg5ciTWrVuHAQMGwMrKCp6enrLz58+fly0LJeWIjo6Gm5sbPDw80KlTJ3Tq1AnVq1eHu7s7zp07JzqexrC1tYWdnd0n30i5nJ2d8fbtW9ExiEgNsFOJSIVCQkKwaNEibN26FWFhYfD19YWtrS369u0Lf39/lC9fXnREtXbp0iXZ/1+7dg2JiYmy29nZ2Thw4AC/ByoSHR2NI0eO4I8//kCVKlXyzXLggFbl6tatGwYOHIiePXsiMTERTZo0QdWqVbFhwwYkJiYiKChIdES1FRQUhD///BMjRoyAlZUV1q9fDy0tLdn5TZs24ZtvvhGYUL1du3YNvr6+cHFxwfr16+Hi4iI7HhwcDF9fX5w5cwaurq6Ck6q/kSNHyt1+//49YmJicODAAdlyUFKeOXPmYPTo0Zg5c6bCDTOMjIwEJSOi4oYzlYgEunPnDtasWYN169bh8ePH+Prrr9GvX78i7Y5ChSeVSmUzAxQ99Onr62PRokXo27evqqNpnD59+hR4fs2aNSpKoplMTU1x5swZODk5YeHChdiyZQtOnTqFQ4cOYfDgwdzKmNRWp06dkJWVhR07duSbIZObm4v27dtDR0cHW7duFZSQlixZgvPnz/P3gJJJpXkLVhT9HEgkEmRnZ4uIpVFev379yeLd7du3YW9vr+JERP8Oi0pEX4Dc3Fzs2LEDgwYNwsuXL/mLXEkePHiA3Nxc2NnZITo6Gubm5rJzurq6sLCwkOsYIFJXpUqVwpUrV2BjY4PWrVvDy8sL48ePR0JCApycnLgkgtSWubk59u/fj1q1aik8f+7cObRo0QLPnj1TcTL64O7du6hevTpev34tOopai4yMLPB8o0aNVJREczVo0AD/+9//oKenJ3f8xo0b8PX1lVumTvQl4/I3IsGOHTuGNWvWYMeOHdDW1saAAQNER1Jb1tbWAICcnBzBSYjEqlKlCpYvX46WLVvi8OHDmDFjBgDg8ePHKFOmjOB0RMrz5s0bWFpafvK8lZUV3rx5o8JE9LHt27ejdOnSomOoPRaNxCtVqhTatWuH3bt3Q1s772l5fHw8GjdujE6dOglOR1R4LCoRCfDo0SOEhYUhLCwMd+/eRYMGDbB06VJ8++230NfXFx1PI6xbtw7Lly/HvXv3EBUVBWtrawQHB8POzg5t2rQRHU8t1ahRAxERETA1NYWHh0e+lvu/u3jxogqTaZ6ffvoJ7dq1wy+//AJ/f3/Z7j+7d+9G7dq1BacjUh5ra2tER0ejYsWKCs+fPXtW9gIEKdfHvwdyc3ORmJiIZ8+eYenSpQKTaYbjx48XeL5hw4YqSqK5du7ciSZNmqB79+7YvHkzrl69Cl9fX3Tv3h3z588XHY+o0FhUIlKhrVu3IjQ0FBEREbCwsIC/vz/69u3LNdMqtmzZMgQFBWHkyJGYOXOmbLmhqakpFixYwKKSkrRp00bW4t22bVuxYTSct7c3kpOT8fr1a5iamsqODxw4kNvZk1rr0qULAgMD4eTkhKpVq8qdu3z5MsaMGYNevXoJSqdZPv49IJVKYW5uDm9vbzg7O4sJpUG8vb3zHft7kY+jGJRPX18fe/fuhbe3Nzp16oTjx4+jV69e+OWXX0RHIyoSzlQiUiFdXV20bNkS/fr1Q4sWLWRDEkm1XF1dMWvWLLRt2xaGhoaIi4uDnZ0drly5InuyTcqTnZ2NU6dOwd3dHSYmJqLjEJEGeffuHXx9fXH27Fk0bdoULi4uyM3NRXx8PP73v/+hdu3aOHLkCEqUKCE6qto6cuQIGjZsKFvuQ2K8evVK7vaH3fcmT56MmTNnwtfXV1Ay9aZoVtiTJ0/QtGlTtGrVCnPmzJEd5w58VFywqESkQk+fPoWFhYXoGBpPX18f169fh7W1tVxR6datW3B3d+eQYhUoUaIE4uPjYWtrKzqKxtq+fTu2bt2KhIQEZGZmyp3j8kPlWLhwYaGvHTFihBKTaLbMzEwEBwdj06ZNuHnzJgDA0dERXbp0wahRo/INzaXPS0tLC0+ePJH9PeTp6YkdO3agfPnygpMRkDfAOzAwEBcuXBAdRS39fSfiv/vwlFwikXAHPip2+BIBkQqxoPRlsLW1RWxsbL65GQcOHICLi4ugVJqlatWquHv3LotKgixcuBCTJk1C7969sWvXLvTp0wd37tzBuXPnMHToUNHx1FZwcLDc7WfPniE9PV3Wsffy5UsYGBjAwsKCRSUl0tXVxfjx4zF+/HjRUTTSx69nX716FRkZGYLS0McsLS1x48YN0THU1tGjR0VHIPrsWFQiIo0TGBiIoUOH4t27d8jNzUV0dDQ2bdqE2bNnY/Xq1aLjaYQff/wRY8aMwYwZM1CzZk2ULFlS7jxbvpVr6dKlWLlyJbp27YqwsDCMGzcOdnZ2CAoKQkpKiuh4auvevXuy/9+4cSOWLl2KkJAQODk5AcjbRnrAgAEYNGiQqIhEpCEuXbokdzs3NxdPnjzBnDlzUL16dTGhNAB33SN1xOVvRKSRNmzYgKlTp+LOnTsAgHLlymHatGno16+f4GTqbfr06Rg9ejQMDQ1lxz7e/Yct38pnYGCA+Ph4WFtbw8LCAocPH0a1atVw69YteHp64vnz56Ijqr3KlStj+/bt8PDwkDt+4cIFdOzYUa4ARaROtLS0kJiYCHNzcwB5LyLExcWxc1XFPizD+vipoKenJ0JDQzksXUVevnyJkJAQxMfHAwCqVKmCvn37wtjYWHAyosJjpxIRaaTu3buje/fuSE9PR2pqKpcmqsi0adMwePBgtn8LZmVlhZSUFFhbW6NSpUo4c+YMqlWrhnv37uV7gkHK8eTJE2RlZeU7np2djaSkJAGJiFQjNzcXvr6+skHd6enp+Oabb6Crqyt3HWe7KdfHhesPu+9xSL3qnD9/Hn5+ftDX10ft2rUBAPPnz8fMmTNx6NAh1KhRQ3BCosJhpxLRFyApKQkZGRmoVKmS6ChESiWVSpGYmMginmD9+/dHxYoVMWXKFCxZsgRjx46Fl5cXzp8/j/bt2yMkJER0RLX3zTff4M8//8Tq1atlTxwuXLiAgQMHonz58ti9e7fghETKMW3atEJdN2XKFCUn0Vzv379Hs2bNsHz5cjg4OIiOo7EaNGgAe3t7rFq1SlZkzcrKQv/+/XH37l0cP35ccEKiwmFRiUiF3rx5gyFDhuDEiRPw9vbGqlWrMGrUKCxbtgwSiQT169fHnj17OE9GCTw8PBTutqEIXx1VHqlUiqSkJNmyBxIjJycHOTk5sj9iN2/ejNOnT8PBwQGDBg3K1zFAn9+zZ8/g7++PAwcOQEdHB0Dekwk/Pz+EhYWx8Kpk06dPx5gxY2BgYCB3/O3bt/jll18QFBQkKBmRapibm8se90kMfX19xMTE5FtqeO3aNdSqVQvp6emCkhEVDYtKRCo0fPhw/O9//8N3332HnTt3wtjYGHfu3MHy5cuRnZ2NIUOGoG3btpg5c6boqGqnsK+MAnx1VJmkUimMjY3/scDHYdHK0ahRI/j6+sLHxweenp6yYgaJc/PmTVy/fh0A4OzsDEdHR8GJNMPH29p/8Pz5c1hYWHCuG6m9UaNGQU9PD3PmzBEdRWNZWlpi3bp1+Prrr+WOHzx4EL169eJSaCo2WFQiUqFKlSohPDwcPj4+ePz4MSpUqIDdu3ejVatWAIC9e/di9OjRsicYROpGKpViwYIF/ziA0t/fX0WJNEvv3r0RGRmJBw8eQF9fH3Xr1oWPjw98fX3x1VdfQUtLS3REIpX4VNfkkSNH0LlzZzx79kxQMiLVGD58ONauXQsHBweFu7DOnz9fUDLNMWLECPz222+YO3cu6tWrBwA4deoUxo4diw4dOmDBggViAxIVEotKRCpUokQJ3Lp1CxUrVgQAlCxZEjExMbJXph88eABXV1ekpaWJjEmkNJyp9GW4f/8+jhw5gsjISBw7dgwPHz5EqVKl4OXlhcaNG2Ps2LGiI6q97OxshIWFISIiAk+fPkVOTo7c+SNHjghKpt5MTU0hkUjw6tUrGBkZyXVNZmdnIzU1FYMHD8aSJUsEpiRSPh8fn0+ek0gkfAxSgczMTIwdOxbLly+Xbdygo6ODIUOGYM6cOdDT0xOckKhwWFQiUqHy5ctjz549sqGs3bp1w4IFC2RPsK9evYoGDRpw6Y8SlC5dGjdv3oSZmZnsScWn8P5Xnk8tOSGx7t69i9DQUCxatAipqalc+qMCw4YNQ1hYGFq2bImyZcvme0wKDg4WlEy9hYeHIzc3F3379s3XNamrqwsbGxvUrVtXYEIi0jTp6em4c+cOAKBy5cr5Zr0Rfem0RQcg0iTu7u44d+6crKi0ceNGufPnzp2Di4uLiGhqLzg4GIaGhgDAdmKB+DrGl+PBgwc4duyY7O3p06fw9PREo0aNREfTCJs3b8bWrVvRokUL0VE0yoeltba2tqhXrx7nign06NEjVKhQQeG5M2fOwNPTU8WJNNPt27dx584dNGzYEPr6+sjNzS30xib03/Tt2xe//vorDA0N4ebmJjuelpaG4cOHIzQ0VGA6osJjpxKRCqWkpEAqlcLExETh+f3790NfXx/e3t4qzUVEmmHt2rWyIlJycjLq1auHRo0aoVGjRvjqq6/4BFuFypUrh2PHjnEwt0A5OTm4ffu2wuWHDRs2FJRKc7i6uuLkyZMoXbq03PFTp06hZcuWePnypZhgGuL58+fo1KkTjh49ColEglu3bsHOzg59+/aFqakp5s2bJzqi2vtU93ZycjKsrKxkS+KIvnTsVCJSoY//cPpY8+bNVZREM2VlZSE7O1tujXpSUhKWL1+OtLQ0tG7dGvXr1xeYkEi5evfujUqVKmHChAno168fi0gCjR49Gr/++isWL17MrgABzpw5g27duuHBgwf5OiglEgmXgKqAp6cnvv76axw9elTWSXz8+HF88803mDp1qthwGmDUqFHQ0dFBQkKCXJd8586dERgYyKKSEr1+/Rq5ubnIzc3FmzdvUKJECdm57Oxs7Nu3j2MCqFhhpxKRANHR0YiKikJiYiIAwMrKCnXr1kXt2rUFJ1Nvffr0ga6uLlasWAEAePPmDapUqYJ3796hbNmyuHbtGnbt2sXlKKS2li9fjmPHjiEyMhLv3r1D/fr14e3tjUaNGqFmzZosbqhQu3btcPToUZQuXRpVqlTJV+DbuXOnoGSaoXr16nB0dMS0adMUzrT6px0q6b/LyclBx44dkZKSgoMHD+L06dNo3bo1fvzxRwQEBIiOp/asrKxw8OBBVKtWDYaGhoiLi4OdnR3u3r0Ld3d3pKamio6otqRSaYG/byUSCaZNm4ZJkyapMBXRv8eiEpEKPX36FB06dMCpU6dQqVIlWFpaAsjrlklISICXlxd27NjBVyeUxNHREYsXL8bXX38NAFiyZAlmzZqFa9euwdjYGOPHj0d0dDSOHj0qOCmR8l27dk22+9uxY8eQkZEBLy8v+Pj4YMyYMaLjqb0+ffoUeH7NmjUqSqKZSpYsibi4ONjb24uOotEyMzPRsmVLpKen49KlS5g9ezaGDRsmOpZGMDQ0xMWLF+Hg4CBXVDp//jz8/Pzw/Plz0RHVVmRkJHJzc9G4cWPs2LFDbiWDrq4urK2tUa5cOYEJiYqGRSUiFerYsSMeP36MNWvWwMnJSe7cjRs30LdvX5QrVw7btm0TlFC9lSxZEleuXIGtrS0AoH379qhQoQIWLlwIIO9Jtre3N54+fSoyJpHKPX78GEuXLuXub6QxGjdujHHjxqFZs2aio2iUS5cu5Tv25s0bdO3aFS1btsSQIUNkx93d3VUZTeO0aNECNWvWxIwZM2BoaIhLly7B2toaXbp0QU5ODrZv3y46otp78OABKlasCKlUKjoK0X/CmUpEKnTw4EEcP348X0EJAJycnLBw4UIO6VaiEiVK4O3bt7LbZ86cwS+//CJ3nu3eyrN79+5CX9u6dWslJqGnT5/i6NGjsi6lmzdvQkdHB56envDx8REdj0jphg8fjtGjRyMxMRFubm75lh+yoKEc1atXh0QikZtj9eH2ihUrsHLlStnuYyxuK9fPP/8MX19fnD9/HpmZmRg3bhyuXr2KlJQUnDp1SnQ8jWBtbY2XL18iJCQE8fHxAIAqVaqgb9++XIJLxQo7lYhUyMzMDDt27Pjklt3Hjh1Dx44dkZycrOJkmsHX1xe1a9fG7NmzceLECXh7e+PRo0coW7YsAODw4cMYMmQIbt++LTipeirsK3F8MqE83333HY4dO4YbN25AW1sbtWvXhre3N3x8fFCvXj25YaGkfNu3b8fWrVuRkJCAzMxMuXMXL14UlEozKHo8+lDc4GOQ8jx48KDQ11pbWysxCQHAq1evsHjxYsTFxSE1NRU1atTA0KFDZX8XkXJ9WGqor68vm6t67tw5vH37FocOHUKNGjUEJyQqHBaViFRo6NCh2Lt3L4KDg+Hr6wsjIyMAebtAREREIDAwEK1atcKiRYsEJ1VPkZGRaN68OcqWLYsnT56ga9euCAkJkZ3/7rvvkJaWhvDwcIEpiZSnbt268PHxgY+PD7y8vGBgYCA6ksZauHAhJk2ahN69e2PlypXo06cP7ty5g3PnzmHo0KGYOXOm6Ihq7Z+KGyxoEJGyNWjQAPb29li1ahW0tfMWEGVlZaF///64e/cujh8/LjghUeGwqESkQhkZGRg5ciRCQ0ORlZUFXV1dAHmDKrW1tdGvXz8EBwfLbXlPn1d8fDwOHToEKysrfPvtt3KvVq9cuRK1a9dG9erVxQUkIo3g7OyMKVOmoGvXrnJDcoOCgpCSkoLFixeLjkikVOHh4TAzM0PLli0BAOPGjcPKlSvh6uqKTZs2sbCnJMnJyUhLS5O7f69evYq5c+ciLS0Nbdu2Rbdu3QQm1Bz6+vqIiYmBs7Oz3PFr166hVq1aSE9PF5SMqGhYVCIS4PXr1zh//jySkpIA5G3rWrNmTVnnEpE6+jAQvTBGjBihxCRE4hkYGCA+Ph7W1tawsLDA4cOHUa1aNdy6dQuenp7ceUkF1q1bh+XLl+PevXuIioqCtbU1FixYAFtbW7Rp00Z0PLXn5OSEZcuWoXHjxoiKioKvry8WLFiAP/74A9ra2ti5c6foiGqpa9euKFeuHObNmwcgb8aes7MzypUrh8qVK2P//v0ICQlBz549BSdVf5aWlli3bp1sV+IPDh48iF69esmeJxB96Tiom0gAIyMjNG7cWHQMIpUKDg4u1HUSiYRFJVJ7VlZWSElJgbW1NSpVqoQzZ86gWrVquHfvHvh6n/ItW7YMQUFBGDlyJGbOnCmboWRiYoIFCxawqKQCDx8+hL29PQDg999/R8eOHTFw4EB4eXlx0xIlOnPmDMLCwmS3165di9KlSyM2Nhba2tqYO3culixZwqKSEq1duxadO3dG586d0a9fP8ydOxf16tUDAJw6dQpjx45F165dBackKjwWlYhULDk5GaGhoYiKikJiYiKAvCcX9erVQ+/evWFubi44IZFy3Lt3T3QEoi9G48aNsXv3bnh4eKBPnz4YNWoUtm/fjvPnz6N9+/ai46m9RYsWYdWqVWjbti3mzJkjO16rVi2MGTNGYDLNUapUKTx//hyVKlXCoUOHEBgYCCD/Tq30eSUmJsLGxkZ2+8iRI2jfvr1spk/r1q0xe/ZsQek0Q58+fdCsWTPMnTsXEokEvXr1QlZWFgBAR0cHQ4YMkXtcIvrSsahEpELnzp2Dn58fDAwM0KRJEzg6OgIAkpKSsHDhQsyZMwcHDx5ErVq1BCclIiJlWrlyJXJycgDkbeJQpkwZnD59Gq1bt8agQYMEp1N/9+7dg4eHR77jenp6SEtLE5BI8zRt2hT9+/eHh4cHbt68iRYtWgDIm+/z96IHfV5GRkZ4+fKlbKZSdHQ0+vXrJzsvkUiQkZEhKp5G+NCNqquri19//RWzZ8/GnTt3AACVK1fmJhpU7LCoRKRCw4cPx7fffovly5dDIpHIncvNzcXgwYMxfPhwREVFCUpIpBp9+/Yt8HxoaKiKkmiW5ORkmJmZiY5ByNvS/u8bBXTp0gVdunQRmEiz2NraIjY2Nt8w6AMHDsDFxUVQKs2yZMkS/PDDD3j48CF27NiBMmXKAAAuXLjApT9K5OnpiYULF2LVqlXYuXMn3rx5IzeS4ebNm6hYsaLAhJrh788DDAwM4ObmJjAN0X/DohKRCsXFxSEsLCxfQQnI++UyatQoha+cknJNmzYNQ4cO5ZNtFXrx4oXc7ffv3+PKlSt4+fIl540pkaWlJby9vdGvXz906NCBO02SxgoMDMTQoUPx7t075ObmIjo6Gps2bcLs2bOxevVq0fE0gomJicJdDqdNmyYgjeaYMWMGfH19sX79emRlZeH777+Hqamp7PzmzZvRqFEjgQk1g6+vr2zJ4adcvHhRRWmI/hsWlYhUyMrKCtHR0fm2Dv0gOjoalpaWKk6lOV6/fp3vWG5uLmbOnInmzZtDV1cXALgLnwr89ttv+Y7l5ORgyJAhqFy5soBEmiE3Nxe6urro06cPhg0bhu7du6Nfv36oXr266GhEKtW/f3/o6+vjhx9+QHp6Orp164Zy5crh119/ZceYiqWnpyMhIQGZmZlyx93d3QUlUm/u7u6Ij4/HqVOnYGVlhTp16sid79KlC1xdXQWl0xx+fn4oVaqU6BhEn4Ukl1uMEKnMkiVLMHr0aAwaNAi+vr6yAlJSUhIiIiKwatUqzJ07F999953gpOpJS0tL4fHc3FxIJBLZfz/sAkSqd+PGDXh7e+PJkyeio6glqVSKxMRESKVShIeHIzQ0FNevX0f16tXRv39/dO/enUVV0jjp6elITU2FhYWF6Cga5dmzZ+jduzcOHDig8Dx/F5O6+vC7mI85pC5YVCJSsS1btiA4OBgXLlyQ/cGkpaWFmjVrIjAwEJ06dRKcUH1VqFAB1atXx+jRo2WzTHJzc9GkSROsXr0atra2AMC2b4H27dsHf39/PHv2THQUtaToD9moqCisXr0a27ZtQ3Z2Njp06IC1a9cKTElEmqB79+548OABFixYAG9vb/z2229ISkrCjz/+iHnz5qFly5aiIxIphZaWFp48ecKiEqkNFpWIBHn//j2Sk5MBAGZmZtDR0RGcSP2lpKSgX79+ePXqFdatW4fy5csDyNu+NS4uju3eKvRh6+gPcnNz8eTJE+zduxf+/v4K52zQf1fQH7JpaWnYvHkzQkNDcerUKQHpiFTn+fPnCAoKwtGjR/H06VPZTnwfpKSkCEqmOcqWLYtdu3ahdu3aMDIywvnz5+Ho6Ijdu3fj559/xsmTJ0VHJFIKdiqRuuFMJSJBdHR0ULZsWdExNErp0qXx22+/YdmyZahduzbmzp3LHWYEiYmJkbstlUphbm6OefPm/ePOcPTvFfQ6UsmSJdGvXz+5raVJeZKSkjBmzBhERETg6dOn+b43XPqjXD179sTt27fRr18/WFpaKtxAg5QrLS1N9qTa1NQUz549g6OjI9zc3DigmNTavXv3YG5uLjoG0WfDohIRaZwhQ4agUaNG6NatG/bs2SM6jkbJycmBVCrF0aNHRUfRSGvWrIGxsbHoGASgd+/eSEhIwOTJk1G2bFkWNVTsxIkTOHnyJKpVqyY6isZycnLCjRs3YGNjg2rVqmHFihWwsbHB8uXL+aKbkmVlZWHjxo3w8/PjBjECWFtbi45A9Flx+RsRaazMzExMmDABR48exc6dO2UzlUh5Pl5+NXbsWEycOBGlS5cWnIxItQwNDXHixAnuvCfIV199hUWLFsHT01N0FI31YUv73r1748KFC2jWrBlSUlKgq6uLsLAwdO7cWXREtWZgYID4+HgWOIjoP2NRiYiIVObjOQJGRkaIjY2FnZ2d4GSaJTo6GlFRUUhMTAQAWFlZoW7duqhdu7bgZJrD1dUVGzZsgIeHh+goGuncuXOYMGECgoKCULVq1XxzDbkLouqlp6fj+vXrqFSpEszMzETHUXve3t4YNWoU2rRpIzoKERVzXP5GRBpH0RPqevXq4auvvhKcTPPwdQ3Vevr0KTp06IBTp06hUqVKsmUPSUlJGDVqFLy8vLBjxw4OD1WBBQsWYMKECbIlP6RaJiYmeP36NRo3bix3PDc3FxKJhDOtBDAwMECNGjVEx9AY3333HQIDA/Hw4UPUrFkTJUuWlDvv7u4uKBkRFTfsVCIijVHQE+qEhAQ+oVaBjzuVDA0NERcXx04lFenYsSMeP36MNWvWwMnJSe7cjRs30LdvX5QrVw7btm0TlFC9mZqays1OSktLQ1ZWFgwMDPJ1ynD3MeWqXbs2tLW1ERAQoHBQd6NGjQQlU3/Tp08v1HVBQUFKTqLZpFJpvmMSiYSFVQFevnyJbdu2ISEhAdbW1vj22285/5CKFRaViEhj8Am1eFKpFAMHDoSBgQEAYMmSJejRo0e+P57mz58vIp7aMzQ0xPHjxz+55OrChQvw9vbGmzdvVJxMM4SHhxf6Wn9/fyUmIQMDA8TExOT7XUDKJ5VKUa5cOVhYWHyyW1UikXAHOCV78OBBgec5a0l52rdvj27duqFjx464evUqvL29IZFIYGdnh/v370MikeDIkSNwcXERHZWoUFhUIiKNwSfU4n34w6kgH/6Yos/PzMwMO3bs+GQXxrFjx9CxY0ckJyerOBmRajVs2BBBQUFo0qSJ6Cgap2XLljhy5Aj8/PzQt29ftGrVSmHXDJG6Kl26NE6fPg1nZ2e0aNECpqamWLNmDXR1dfH+/XsMGTIEDx8+xMGDB0VHJSoUzlQiIo2hp6eH169ff/L8mzdvoKenp8JEmufYsWOiI2i0zp07w9/fH8HBwfD19ZUNI379+jUiIiIQGBiIrl27Ck6pGS5evAgdHR24ubkBAHbt2oU1a9bA1dUVU6dOha6uruCE6m348OEICAjA2LFj4ebmlm/5IefJKM/evXvx+PFjhIeHY+zYsRg0aBB69eqFvn37snNMxdatW4fly5fj3r17iIqKgrW1NRYsWABbW1sO8Faid+/eyR5zYmNjsXfvXtljvo6ODsaNG8eNM6hY4csCRKQxPjyh/u233+SKS69fv8Zvv/2GPn368Ak1qbX58+ejefPm6NKlC0xNTaGvrw99fX2YmpqiS5cuaN68OebOnSs6pkYYNGgQbt68CQC4e/cuOnfuDAMDA2zbtg3jxo0TnE79de7cGfHx8ejbty+++uorVK9eHR4eHrL/knKVK1cOEydOxI0bN7BlyxY8ffoUX331Fby8vPD27VvR8TTCsmXLEBgYiBYtWuDly5eyGUomJiZYsGCB2HBqzt3dXdaRbWVllW8p4oMHD6Cvry8iGtG/wuVvRKQxMjIyMHLkSISGhiIrK0v2qlBmZia0tbXRr18/BAcHs1uJ1N7r169x/vx5JCUlAcj7o7ZmzZrcRl2FjI2NcfHiRVSuXBk//fQTjhw5goMHD+LUqVPo0qULHj58KDqiWuM8mS/H27dvsW3bNixZsgSXL19GYmIiH4tUwNXVFbNmzULbtm3lNs24cuUKvL29uQxaifbu3YtevXph3rx5AIBp06bhhx9+gIuLC27cuIEpU6agS5cu+PnnnwUnJSocFpWISOPwCTURiWZkZIQLFy7AwcEBTZs2RatWrRAQEICEhAQ4OTmxW0PJjh8/jnr16kFbW34SRFZWFk6fPo2GDRsKSqY5oqKiEBoaiq1bt8LR0RF9+vRBt27dYGJiIjqaRtDX18f169dhbW0tV1S6desW3N3d+RikZDt27MDIkSPx+PFjuYH1enp6GDx4MObOnQstLS2BCYkKjzOViEjjGBkZoXHjxqJjEAmRnJyM0NBQREVFITExEUBeYbVevXro3bs3zM3NBSfUDLVq1cKPP/6IJk2aIDIyEsuWLQMA3Lt3D5aWloLTqT8fHx88efIEFhYWcsdfvXoFHx8fbqeuRD///DPCwsKQnJyM7t2748SJE5xhJYCtrS1iY2PzdeUdOHCAu46pQIcOHdC2bVtcuHAB9+7dQ05ODsqWLYuaNWvC0NBQdDyiImGnEhFpFD6hJk127tw5+Pn5wcDAAE2aNJEVL5KSkhAREYH09HQcPHgQtWrVEpxU/V26dAndu3dHQkICAgMDMWXKFAB5A6SfP3+OjRs3Ck6o3qRSKZKSkvI95t+8eRO1atUqcFMH+m+kUikqVaqEVq1aFTiQfv78+SpMpXlWr16NqVOnYt68eejXrx9Wr16NO3fuYPbs2Vi9ejW6dOkiOiIRFRMsKhGRxuAT6i/PiBEj0LBhQ3zzzTfQ09PD27dv0aNHD+zYsUN0NLXk6emJatWqYfny5ZBIJHLncnNzMXjwYFy6dAlRUVGCEtK7d++gpaWVbzcy+jzat28PIG+3vWbNmsnN0MvOzsalS5fg5OSEAwcOiIqo9ry9vfM9/nxMIpHIBhmT8mzYsAFTp07FnTt3AOQNUJ82bRr69esnOJn6y8zMxO+//67wRc42bdpwB1AqVlhUIiKNwSfUX57WrVvjypUrSE1NxaRJk7Bx40YkJib+4xBd+nf09fURExMDZ2dnheevX78ODw8PztIgtdWnTx8AQHh4ODp16iS3w5Kuri5sbGwwYMAAmJmZiYpIpHLp6elITU3NtxyUlOP27dvw8/PD48ePUadOHbkXOc+ePYsKFSpg//79sLe3F5yUqHA4U4mINEZcXBzCwsIUvkIqkUgwatQobiWtYrt37waQ14Y/cOBAlCpVSrbNOn1+VlZWiI6O/mRRKTo6mvN8VCQ7OxvBwcHYunUrEhISkJmZKXc+JSVFUDL1tmbNGgCAjY0NxowZg5IlSwpORCTG9OnTUb9+fTRu3BgGBgYwMDAAAKSlpWHevHkICgoSnFB9DRkyBG5uboiJicm3Sczr16/Rq1cvDB06FAcPHhSUkKhopKIDEBGpyocn1J/CJ9TKN3PmzHyzYpKTk/HLL7/Az88Ptra22L59u6B06m/MmDEYOHAgAgICsHv3bpw9exZnz57F7t27ERAQgMGDB2PcuHGiY2qEadOmYf78+ejcuTNevXqFwMBAtG/fHlKpFFOnThUdT+1NmTKFBSXSaFOnTkXz5s3zza5KTU3FtGnTBKXSDKdOncKPP/6ocNdhIyMjzJgxAydOnBCQjOjfYacSEWmMD0+oL1y4AF9f33wzlVatWoW5c+cKTqneQkJCsHXrVtntN2/ewM/PD9WqVcOGDRuwf/9+TJo0CcOGDROYUn0NHToUZmZmCA4OxtKlS2U7XGlpaaFmzZoICwtDp06dBKfUDBs2bMCqVavQsmVLTJ06FV27dkXlypXh7u6OM2fOYMSIEaIjqr3t27d/slPs4sWLglIRqc7atWsxdOhQXL58GStWrOAcHxUxMTHB/fv3UbVqVYXn79+/DxMTE9WGIvoP2KlERBpj6NChCA8Px9mzZ9GhQwfUrVsXdevWRYcOHXD27FmEhYXhu+++Ex1TrT158kS221JGRgbatGkDNzc3bN68GTo6OqhatSpu374tOKV669y5M86cOYP09HT8+eef+PPPP5Geno4zZ86woKRCiYmJcHNzAwCUKlUKr169AgC0atUKe/fuFRlNIyxcuBB9+vSBpaUlYmJiULt2bZQpUwZ3795F8+bNRccjUgkfHx9Zx6q3tzeePn0qOpJG6N+/P3r16oXg4GBcunQJSUlJSEpKwqVLlxAcHIzevXtj4MCBomMSFRo7lYhIo3Tu3BmdO3fG+/fvkZycDAAwMzPjTksqYmNjg5UrV6JPnz4YNmwYnJ2dsXTpUtn5y5cvo3z58gITag4dHR2ULVtWdAyNVaFCBTx58gSVKlVC5cqVcejQIdSoUQPnzp2T25GMlGPp0qVYuXIlunbtirCwMIwbNw52dnYICgriPCsVef/+/Sd/9yYnJ3NYupJ9mC9ZuXJl2YsKNWvWxPLlywUnU3/Tp09HyZIl8csvv2D06NGy70Vubi6srKwwfvx4LkWnYoW7vxERkcqsX78e/v7+kEqlqFmzJoC8XZicnJxw7tw5dO7cGR07dsTPP/8sOCmRck2YMAFGRkb4/vvvsWXLFvTo0QM2NjZISEjAqFGjMGfOHNER1ZqBgQHi4+NhbW0NCwsLHD58GNWqVcOtW7fg6emJ58+fi46o9jp06IDt27fn2zwjKSkJvr6+uHLliqBkmkEqlSIxMVG241tOTg5GjhyJZcuWIScnR7Y8mpTr3r17SExMBJA3+9PW1lZwIqKiY6cSERGpTI8ePdCgQQNIJBKUL18e/fv3h4uLC0qUKIGMjAzUrVsXU6ZMER2TSOn+XjTq3LkzKlWqhKioKDg4OOCbb74RmEwzWFlZISUlBdbW1qhUqRLOnDmDatWq4d69e+DrraqRkJCA/v37IyQkRHYsMTERPj4+qFKlisBkmmHNmjUwNjaW3ZZKpVi4cCE8PDxw/Phxgck0i62tLQtJVOyxU4mIiISKj4/HpUuXUL58edSvX190HCKlsra2RuPGjdG4cWN4e3ujYsWKoiNppP79+6NixYqYMmUKlixZgrFjx8LLywvnz59H+/bt5QodpBzPnj1Dw4YNZTuQPX78GD4+PqhWrRo2b94MqZSjX0kzPXz4EFOmTEFoaKjoKESFwqISERERkYpMnToVx44dw9mzZ5GZmQlbW1v4+PjA19cX3t7esLKyEh1RI+Tk5CAnJwfa2nlN+5s3b8bp06fh4OCAQYMGcRcsFXn48CHq16+PDh064I8//kCNGjWwYcMGaGlpiY6mlhYuXIiBAweiRIkSWLhw4Sevk0gkGD58uAqT0d/FxcWhRo0aXIJIxQaLSkREREQqlpGRgVOnTiEyMlJWZHr//j0cHR3RuHFjLFmyRHREIpW4efMmGjRogKZNm2LdunX5ZizR52Nra4vz58+jTJkyBS65kkgkuHv3rgqTaZbdu3cXeP7u3bsYPXo0i0pUbLCoRERERCTYixcvMG/ePCxatAipqal8MqECJ06cwIoVK3Dnzh1s374d5cuXx7p162Bra8uluEpiamqqsGiUnp4OPT09uQ4l7sJH6koqlUIikRQ4v00ikfD3ABUbHNRNREREpGKZmZmIiorCsWPHZJ1K5cuXR8eOHdGoUSPR8dTejh070LNnT3Tv3h0xMTHIyMgAALx69QqzZs3Cvn37BCdUTwsWLBAdgUi4smXLYunSpWjTpo3C87GxsbIdcomKA3YqEREREanI9OnTZUUka2trNGzYEI0aNUKjRo1Qrlw50fE0hoeHB0aNGoVevXrB0NAQcXFxsLOzQ0xMDJo3by7b4ptInQQGBhb62vnz5ysxiWZr3bo1qlevjunTpys8HxcXBw8PD+Tk5Kg4GdG/w04lIiIS4s6dO1izZg3u3LmDX3/9FRYWFti/fz8qVarE7aRJbU2dOhWVKlXCvHnz8O2336JMmTKiI2mkGzduoGHDhvmOGxsb4+XLl6oPpIH27dsHLS0t+Pn5yR0/dOgQsrOz0bx5c0HJ1FdMTEyhruNcK+UaO3Ys0tLSPnne3t4eR48eVWEiov+GRSUiIlK5yMhING/eHF5eXjh+/DhmzpwJCwsLxMXFISQkBNu3bxcdkUgp9u/fj6NHjyIsLAwBAQFwdHSEt7e3rFvJ3NxcdESNYGVlhdu3b8PGxkbu+MmTJ2FnZycmlIaZMGEC5syZk+94Tk4OJkyYwKKSErBQ8WVo0KBBgedLlizJZdBUrEhFByAiIs0zYcIE/Pjjjzh8+LDc1t2NGzfGmTNnBCYjUi4/Pz/MmTMHZ86cQXJyMn766ScYGBjg559/RoUKFVClShUMGzZMdEy1N2DAAAQEBODs2bOQSCR4/PgxNmzYgDFjxmDIkCGi42mEW7duwdXVNd9xZ2dn3L59W0AiIiL6NzhTiYiIVK5UqVK4fPkybG1t5eaZ3L9/H87Oznj37p3oiEQqk52djejoaOzevRtLly7l7m8qkJubi1mzZmH27NlIT08HAOjp6WHMmDGYMWOG4HSawcrKChs3bkTjxo3ljv/vf/9Dt27d8PTpU0HJNMf58+exdetWJCQkIDMzU+7czp07BaUiouKGnUpERKRyJiYmePLkSb7jMTExKF++vIBERKqTk5OD6Oho/PTTT2jevDlMTU1Rv359bNy4Ee3atUNoaKjoiGotOzsbJ06cwNChQ5GSkoIrV67gzJkzePbsGQtKKtSmTRuMHDkSd+7ckR27ffs2Ro8ejdatWwtMphk2b96MevXqIT4+Hr/99hvev3+Pq1ev4siRIzA2NhYdj4iKEXYqERGRyo0ZMwZnz57Ftm3b4OjoiIsXLyIpKQm9evVCr169MGXKFNERiZSiefPmOH36NN68eYNy5crBx8cH3t7e8PHx4SwfFSpRogTi4+Nha2srOorGevXqFZo1a4bz58+jQoUKAIBHjx6hQYMG2LlzJ0xMTMQGVHPu7u4YNGgQhg4dKusYtrW1xaBBg1C2bFlMmzZNdEQiKiZYVCIiIpXLzMzE0KFDERYWhuzsbGhrayM7OxvdunVDWFgYtLS0REckUoquXbvCx8cHPj4+cHBwEB1HY9WqVQs//fQTfH19RUfRaLm5uTh8+DDi4uKgr68Pd3d3hbvy0edXsmRJXL16FTY2NihTpgyOHTsGNzc3xMfHo3Hjxgq7iYmIFGFRiYiIhElISMCVK1eQmpoKDw8PPskmIpU4cOAAJk6ciBkzZqBmzZooWbKk3HkjIyNByYhUo0KFCti/fz/c3Nzg7u6OiRMnomvXroiKikKzZs3w6tUr0RGJqJhgUYmIiFTu5MmTqF+/vugYRKRhpk+fjtGjR8PQ0FB2TCKRyP4/NzcXEomEg9JVJC0tDZGRkQoHRY8YMUJQKs3QrVs31KpVC4GBgZgxYwYWLVqENm3a4PDhw6hRowYHdRNRobGoREREKqerq4vy5cuja9eu6NGjh8JtpYmIPjctLS08efIE8fHxBV7XqFEjFSXSXDExMWjRogXS09ORlpaG0qVLIzk5GQYGBrCwsMDdu3dFR1RrKSkpePfuHcqVK4ecnBz8/PPPOH36NBwcHPDDDz/A1NRUdEQiKiZYVCIiIpVLTk7G5s2bsWnTJkRFRcHd3R3du3dH165dZQNbiYg+N6lUisTERFhYWIiOovG8vb3h6OiI5cuXw9jYGHFxcdDR0UGPHj0QEBCA9u3bi46otrKysrBx40b4+fnB0tJSdBwiKuZYVCIiIqHu3buHjRs3YtOmTbh+/ToaNmyII0eOiI5FpDR8QieOVCpFUlISzM3NRUfReCYmJjh79iycnJxgYmKCqKgouLi44OzZs/D398f169dFR1RrBgYGiI+Ph7W1tegoRFTMaYsOQEREms3W1hYTJkxAtWrVMHnyZERGRoqORKRU2traGDx48D8uwSLlcHR0lJujpEhKSoqK0mguHR0dSKVSAICFhQUSEhLg4uICY2NjPHz4UHA69Ve7dm3ExsayqERE/xmLSkREJMypU6ewYcMGbN++He/evUObNm0we/Zs0bGIlI5P6MSZNm0ajI2NRcfQeB4eHjh37hwcHBzQqFEjBAUFITk5GevWrUPVqlVFx1N73333HQIDA/Hw4UOFOyC6u7sLSkZExQ2XvxERkcpNnDgRmzdvxuPHj9G0aVN0794dbdq0gYGBgehoRCqxdetWTJw4EaNGjeITOhXiTKUvx/nz5/HmzRv4+Pjg6dOn6NWrl2xQdGhoKKpVqyY6olr70CX2dxKJhDsgElGRsahEREQq5+Xlhe7du6NTp04wMzMTHYdI5fiETowPu7+xqESa7sGDBwWeZxclERUWl78REZHKnTp1SnQEIqHu3bsnOoJG4mupRHkePHiAevXqQVtb/ulgVlYWTp8+zaISERUaO5WIiEiYa9euISEhAZmZmXLHW7duLSgREREpi4eHxz8OSf/g4sWLSk6j2T7Vtff8+XNYWFiwW5KICo2dSkREpHJ3795Fu3btcPnyZdmSHwCyJxv8Y5bU0e7du9G8eXPo6Ohg9+7dBV7Lwiqpo7Zt24qOQP/vw1Lbjz1//jzfjDciooKwU4mIiFTum2++gZaWFlavXg1bW1tER0fj+fPnGD16NObOnYsGDRqIjkj02f19SLSimUofcKYSESlL+/btAQC7du1Cs2bNoKenJzuXnZ2NS5cuwcnJCQcOHBAVkYiKGXYqERGRykVFReHIkSMwMzODVCqFVCpF/fr1MXv2bIwYMQIxMTGiIxJ9djk5OQr/n4jyOljfvn0LFxeXAouu9N8YGxsDyOtUMjQ0hL6+vuycrq4uPD09MWDAAFHxiKgYYlGJiIhULjs7G4aGhgAAMzMzPH78GE5OTrC2tsaNGzcEpyMidVSjRg1ERETA1NQU06dPx5gxY2BgYCA6lsbJzMzEzJkzcfHiRXh6emLChAno0aMHtm7dCgBwcnLCvn37YGNjIzaomlqzZg0AwMbGBmPGjOFSNyL6z7j8jYiIVK5BgwYYPXo02rZti27duuHFixf44YcfsHLlSly4cAFXrlwRHZFI6dLS0hAZGalwWP2IESMEpVJf+vr6uHXrFipUqPDJIcWkfKNHj8a6devQpk0bHDlyBFWrVsWNGzcwbdo0SKVSzJgxA25ubtiwYYPoqEREVAgsKhERkcodPHgQaWlpaN++PW7fvo1WrVrh5s2bKFOmDLZs2YLGjRuLjkikVDExMWjRogXS09ORlpaG0qVLIzk5GQYGBrCwsMDdu3dFR1Q7devWRalSpVC/fn1MmzYNY8aMQalSpRReGxQUpOJ0msPa2hrLli1DixYtcPPmTTg7O2Pv3r1o3rw5ACAyMhLdu3fHo0ePBCdVb7a2tgXuxMfHICIqLBaViIjoi5CSkgJTU9NCbzdNVJx5e3vD0dERy5cvh7GxMeLi4qCjo4MePXogICBANkyXPp8bN25gypQpuHPnDi5evAhXV1doa+efBCGRSLidvRLp6Ojg/v37KF++PIC8DrJLly7BwcEBAPDkyRNUrFgRWVlZImOqvV9//VXu9vv37xETE4MDBw5g7NixmDBhgqBkRFTcsKhEREREpGImJiY4e/YsnJycYGJigqioKLi4uODs2bPw9/fH9evXRUdUa3/fiY9U6+P73tDQEHFxcbCzswMAJCUloVy5ctwBUZAlS5bg/PnzstlLRET/hIO6iYhI5dLS0jBnzhxERETg6dOn+XbCYts9qTsdHR3ZDlcWFhZISEiAi4sLjI2N8fDhQ8Hp1NPfB3VPmTLlk0vfSPkOHjwo24UsJycHERERsll6L1++FJiMmjdvjokTJ7KoRESFxqISERGpXP/+/REZGYmePXuibNmyXPJGGsfDwwPnzp2Dg4MDGjVqhKCgICQnJ2PdunWoWrWq6HhqKT4+HmlpabLd34YMGcLd3wTx9/eXuz1o0CC52/ydIM727dtRunRp0TGIqBjh8jciIlI5ExMT7N27F15eXqKjEAlx/vx5vHnzBj4+Pnj69Cl69eqF06dPw8HBAaGhoahWrZroiGqHg7qJ/uLh4SFXvMvNzUViYiKePXuGpUuXYuDAgQLTEVFxwqISERGpnK2tLfbt2wcXFxfRUYhIQ3BQN9Ffpk2bJndbKpXC3Nwc3t7ecHZ2FpSKiIojFpWIiEjl1q9fj127diE8PJzLT4hI5Tiom4iI6PNgUYmIiFTi41b727dvIzc3FzY2NtDR0ZG7ll0CpK4+/jn4FP4MEJGy3blzB2vWrMGdO3fw66+/wsLCAvv370elSpVQpUoV0fGIqJjgoG4iIlKJtm3bio5AJNzffw5yc3Mxe/ZsDB48mINxVWzt2rUFnu/Vq5eKkhCJERkZiebNm8PLywvHjx/HzJkzYWFhgbi4OISEhGD79u2iIxJRMcFOJSIiIiJBDA0NERcXBzs7O9FRNIqpqanc7ffv3yM9PR26urowMDBASkqKoGREqlG3bl18++23CAwMlHscio6ORvv27fHo0SPREYmomGCnEhERCfXu3Tts2bIFaWlpaNq0KRwcHERHIiI19+LFi3zHbt26hSFDhmDs2LECEhGp1uXLl7Fx48Z8xy0sLJCcnCwgEREVV1LRAYiISHMEBgZi+PDhstuZmZnw9PTEgAED8P3338PDwwOnT58WmJCINJWDgwPmzJmDgIAA0VHU3tKlS9GkSRN06tQJERERcueSk5PZuacCJiYmePLkSb7jMTExKF++vIBERFRcsahEREQqc+jQITRt2lR2e8OGDUhISMCtW7fw4sULfPvtt5g5c6bAhESkybS1tfH48WPRMdTawoULMXbsWDg7O0NPTw8tWrTA7NmzZeezs7Px4MEDgQk1Q5cuXTB+/HgkJiZCIpEgJycHp06dwpgxYzhTjIiKhMvfiIhIZRISEuDq6iq7fejQIXTs2BHW1tYAgICAALRo0UJUPCKlW7hwodztrKwshIWFwczMTO74iBEjVBlL4+zevVvudm5uLp48eYLFixfDy8tLUCrNsGLFCqxatQrdunUDAAwZMgRt27bF27dvMX36dMHpNMesWbMwdOhQVKxYEdnZ2XB1dUV2dja6deuGH374QXQ8IipGOKibiIhUxsTEBOfOloHY4gAASthJREFUnZPNTbK1tcXkyZPRt29fAMD9+/fh4uKCt2/fioxJpDS2trb/eI1EIsHdu3dVkEZzSaXyzfoSiQTm5uZo3Lgx5s2bh7JlywpKpv4MDAxw7do12NjYyI5duXIFTZo0QZ8+fTBy5EiUK1cO2dnZ4kJqkISEBFy5cgWpqanw8PDgXEMiKjJ2KhERkcq4uLhgz549CAwMxNWrV5GQkAAfHx/Z+QcPHsDS0lJgQiLlunfvnugIBCAnJ0d0BI1lZmaGhw8fyhWVqlatiiNHjqBx48ZcfqhilSpVQqVKlUTHIKJijEUlIiJSmXHjxqFLly7Yu3cvrl69ihYtWsh1buzbtw+1a9cWmJCI1N379+/h7OyMP/74Ay4uLqLjaJz69etj586daNCggdxxV1dXREREyL3QQJ9fYZcYBgUFKTkJEakLFpWIiEhl2rVrh3379uGPP/7A119/LbcTHJC3LOK7774TlI6INIGOjg7evXsnOobGmjBhAi5cuKDwXJUqVXDkyBHs2LFDxak0x2+//fbJcxKJBDdu3MC7d+9YVCKiQuNMJSIiIiLSKLNmzcLNmzexevVqaGvzNVai2NhYTJgwAUeOHEHfvn2xfPly0ZGIqJjgb1EiIiIi0ijnzp1DREQEDh06BDc3N5QsWVLu/M6dOwUl0xw5OTn5BqZ/OP7o0SPO+VGRe/fuYfLkydiyZQvat2+Pq1evclg3ERVJ/kdyIiIiIiI1ZmJigg4dOsDPzw/lypWDsbGx3Bspz+vXr/F/7d15eI13/v/x18keBCEbKiKC2MVWW2uXqlJqUIaxtFWtoaiZtqO06JRpbVVtqZ2hFVqtpZW0KK0gJBL7vgRNQsSSCJKcnN8frp5fz4RWvtOce07O83Fdrub+fO7kvJJeWuft/Xnfffr0UcmSJRUYGKiJEyfaPOntypUrD/WURPx30tPTNXLkSIWHhyslJUWxsbFavXo1BSUAhUanEgAAgB2ZzWadP39eISEhcnFx0d27d/X1118rPz9f7dq14wmIdrBkyRKjIzitCRMmKCkpSStWrND169f1zjvvKCEhQV9++aU8PDwkSUznKDq3bt3S9OnTNXPmTIWFhWnDhg3q3Lmz0bEAODBmKgEAANjJgQMH9MQTTygtLU21a9fWN998oyeffFJnz56VyWSSu7u7oqOj1bRpU6OjAkWiSpUqWrZsmdq2bSvpXsdM165dVbZsWa1fv17Xr19XxYoVbbqX8McJCgpSZmamRo4cqX79+slkMt33vvr169s5GQBHRVEJAADATp544gn5+Pjorbfe0sKFCxUTE6O6detq5cqVMplMGjJkiFJTU/Xdd98ZHbXYiYiIeOAb6P+UkJBQxGmcV4kSJXT48GGbI26ZmZmKjIyUt7e3Fi5cqLCwMIpKReTXc6xMJpNNV9gv1yaTiZ8/gIdGUQkAYBe8oQOkcuXKaefOnapVq5Zu374tHx8fxcbGqlmzZpKkw4cPq02bNkpPTzc4afEzadIk68d37tzRxx9/rNq1a6tFixaSpN27d+vw4cN6+eWXNXXqVKNiFnvh4eGaOXOmnnzySZv1rKwsde7cWdnZ2Tp48CBFjSJy/vz5h7qvSpUqRZwEQHHBTCUAgF306NHD6AiA4SwWi/UR9v/5T0lydXVVfn6+IdmKu7feesv68fPPP69Ro0ZpypQpBe65cOGCvaM5lc6dO2vJkiUFikqlSpVSdHS0OnXqZFAy50CxCMAfjU4lAAAAO+nYsaNCQkI0adIkLVq0SCtWrNBjjz2mxYsXS5JGjBihgwcPaseOHQYnLd7KlCmjffv2FXjS1cmTJ9WkSRPduHHDoGTF37Vr1/Tzzz+rTp06993PzMxUQkKC2rRpY+dkAID/CzqVAAAA7GTq1Knq0qWLlixZovLly2vbtm167rnnVKFCBbm4uOjatWvasGGD0TGLPW9vb+3cubNAUWnnzp3y8vIyKJVz8PX1la+v7wP3fXx8KCgBgAOhqAQAsDuz2axZs2YpKipKycnJysnJsdnPyMgwKBlQtJo2barz58/r2LFjqlmzpkqVKqUffvhBK1eu1O3bt9WpUyfVrFnT6JjF3ujRo/XSSy8pISHBOs9qz549Wrx4sSZMmGBwuuIvPT1dixcv1q5du5Samirp3lPJWrZsqcGDB8vf39/ghACAh8XxNwCA3U2cOFELFy7Uq6++qjfffFPjx4/XuXPn9NVXX2nixIkaNWqU0REBFHNRUVH64IMPdPToUUlSrVq19Morr6hPnz4GJyve9u7dq8jISJUoUUIdO3ZUYGCgJCktLU1btmxRdna2oqOj1aRJE4OTAgAeBkUlAIDdVatWTXPmzFHXrl3l4+OjxMRE69ru3bu1atUqoyMCRSouLu6+XRpNmzY1OBlQtJo3b64GDRpo3rx5BZ4IarFYNHz4cB04cEC7du0yKCEAoDAoKgEA7K5kyZI6evSogoODVaFCBW3atEmNGjXSmTNnFBERwZBcFFuXL19Wr169tHPnTgUHB9t0aSQnJ6tVq1b64osvFBAQYHBS55CTk6PLly8XeOJecHCwQYmKP29vb+3fv1/h4eH33T927JgiIiJ0+/ZtOydzLmlpaRo3bpy2bNmiy5cv6z/fEprNZoOSAXA0zFQCANjdI488opSUFAUHB6tatWqKiYlRo0aNtHfvXnl6ehodDygyL7/8ssxms44ePVpgdtLx48c1dOhQjRgxQmvWrDEooXM4efKkhg4dqtjYWJt1i8Uik8nEG+oiFBQUpLi4uAcWleLi4qzFVhSdwYMHKzk5WRMmTFCFChUKdI0BwMOiqAQAsLuePXtqy5YtevTRRzVy5EgNGDBAixYtUnJyssaMGWN0PKDIREdHa8eOHfcdxl2zZk3NmTNHbdu2tX8wJzN48GC5ublp48aNvKG2s3HjxmnYsGGKj49Xhw4dCsxUWrBggaZPn25wyuLvp59+0o8//qiGDRsaHQWAg6OoBACwu2nTplk/7tu3r4KDg7Vr1y5Vr15d3bp1MzAZULQ8PT118+bNB+5nZmbSrWcHiYmJio+Pf2C3DIrOiBEj5Ofnp1mzZunjjz+2doW5urqqcePGWrp0KcPS7aBy5coFjrwBwP8FM5UAAADsZMSIEdq0aZNmzZqlDh06qHTp0pKkmzdvasuWLRo7dqyeeuopffjhhwYnLd6aNm2qWbNmqXXr1kZHcWq5ublKT0+XJPn5+cnd3d3gRM4jJiZGM2bM0Pz58xUSEmJ0HAAOjKISAMAu1q9fry5dusjd3V3r16//zXu7d+9up1SAfd29e1ejR4/W4sWLlZeXJw8PD0n3Bka7ubnpueee06xZs+hWKmJbt27Vm2++qXfffVf16tUrUMz4pdgHFFe+vr7Kzs5WXl6eSpQoUeD3QEZGhkHJADgaikoAALtwcXFRamqqAgIC5OLi8sD7GJILZ3Dz5k3t27dPaWlpku4NL27cuDHFDDv55b9B93ukPf8NgjNYtmzZb+4PGjTITkkAODqKSgAAAHAq27dv/839Nm3a2CkJAACOjaISAACAHaWnp2vx4sXatWuXUlNTJd3rVGrZsqUGDx4sf39/gxMCcCZ37txRTk6OzRpdkwAeFkUlAIDdjRo1SmFhYRo1apTN+ty5c3Xq1CnNnj3bmGBAEdu7d68iIyNVokQJdezYscDj1LOzsxUdHa0mTZoYnNQ5ZGdnKzk5ucAb6vr16xuUCLCPW7du6bXXXlNUVJSuXr1aYJ8joAAeFkUlAIDdVapUSevXr1fjxo1t1hMSEtS9e3ddvHjRoGRA0WrevLkaNGigefPm3Xeez/Dhw3XgwAHt2rXLoITO4cqVKxoyZIi+/fbb++7zhhrF3YgRI7Rt2zZNmTJFAwcO1EcffaRLly5p/vz5mjZtmv785z8bHRGAg3jwpFQAAIrI1atXVaZMmQLrpUuXtj5eGiiOkpKSNGbMmAIFJene0OgxY8YoMTHR/sGczOjRo3X9+nXt2bNH3t7e2rx5s5YtW6bq1av/7tMpgeJgw4YN+vjjj9WrVy+5ubnpsccesz4RceXKlUbHA+BAKCoBAOwuLCxMmzdvLrD+7bffKjQ01IBEgH0EBQUpLi7ugftxcXHWI3EoOlu3btXMmTPVpEkTubi4qEqVKhowYIDee+89TZ061eh4QJHLyMiw/v+2dOnSysjIkCS1bt1aO3bsMDIaAAfjZnQAAIDzGTt2rP7617/qypUrat++vSRpy5YtmjFjBvOUUKyNGzdOw4YNU3x8vDp06FBgptKCBQs0ffp0g1MWf7du3VJAQIAkydfXV1euXFGNGjVUr149JSQkGJwOKHqhoaE6e/asgoODFR4erqioKDVr1kwbNmxQ2bJljY4HwIFQVAIA2N3QoUN19+5d/fOf/9SUKVMkSSEhIfrkk0/0l7/8xeB0QNEZMWKE/Pz8NGvWLH388cfW2T2urq5q3Lixli5dqj59+hicsvirWbOmjh8/rpCQEDVo0EDz589XSEiI5s2bpwoVKhgdDyhyQ4YMUVJSktq0aaPXX39d3bp109y5c5Wbm6uZM2caHQ+AA2FQNwDAUFeuXJG3t7dKlSpldBTArnJzc60zxPz8/OTu7m5wIufx73//W3l5eRo8eLDi4+P1xBNPKCMjQx4eHlq6dKn69u1rdETArs6fP6/4+HiFhYXx9EMAhUJRCQAAAE4tOztbx44dU3BwsPz8/IyOAxS55cuXq2/fvvL09LRZz8nJ0eeff07XMICHRlEJAGCItWvXKioqSsnJycrJybHZY6YJAABFx9XVVSkpKdbZYr+4evWqAgICrEdzAeD38PQ3AIDdzZkzR0OGDFFgYKD279+vZs2aqXz58jpz5oy6dOlidDwAxditW7c0ceJE1a1bV6VKlZKPj4/q16+vyZMnKzs72+h4gF1YLBaZTKYC6xcvXlSZMmUMSATAUdGpBACwu/DwcL311lvq16+ffHx8lJSUpNDQUE2cOFEZGRmaO3eu0REBFEM5OTlq2bKlDh06pC5duig8PFwWi0VHjx7V5s2b1ahRI+3YsYP5Vii2IiIiZDKZlJSUpDp16sjN7f8/t8lsNuvs2bN64oknFBUVZWBKAI6Ep78BAOwuOTlZLVu2lCR5e3srMzNTkjRw4EA1b96cohKAIvHJJ5/o4sWLSkpKUs2aNW32jh07prZt22revHkaOXKkQQmBotWjRw9JUmJioiIjI20ekuHh4aGQkBD16tXLoHQAHBFFJQCA3QUFBSkjI0NVqlRRcHCwdu/erQYNGujs2bOigRZAUfnyyy81YcKEAgUl6V4H5fjx47V27VqKSii23nrrLUlSSEiI+vbtKy8vL4MTAXB0zFQCANhd+/bttX79eknSkCFDNGbMGHXq1El9+/ZVz549DU4HoLg6cuSI2rZt+8D9du3a6ciRI/YLBBhk0KBBFJQA/CGYqQQAsLv8/Hzl5+dbZzl8/vnnio2NVfXq1fXiiy/Kw8PD4IQAiiN3d3dduHBBQUFB991PSUlRlSpVCjyREihuzGazZs2a9cCnsGZkZBiUDICjoVMJAGA3wcHBunr1qlxcXOTm5qa5c+fq5s2bevbZZzVnzhyNHDmSghKAIpOfny9XV9cH7ru4uPAodTiFSZMmaebMmerbt69u3LihsWPH6plnnpGLi4vefvtto+MBcCB0KgEA7MbFxUWpqakKCAiQJJUuXVqJiYkKDQ01OBkAZ+Di4qK6devaPPHq1/Ly8nT48GEKSyj2qlWrpjlz5qhr167y8fFRYmKidW337t1atWqV0REBOAgGdQMADMPfawCwp1+GFP8WnnwFZ5Camqp69epJkkqVKqUbN25Ikp566ilNmDDByGgAHAxFJQAAADiFhykqAc7gkUceUUpKioKDg1WtWjXFxMSoUaNG2rt3rzw9PY2OB8CBUFQCANjVwoULVapUKUn3jposXbpUfn5+NveMGjXKiGgAADiFnj17asuWLXr00Uc1cuRIDRgwQIsWLVJycrLGjBljdDwADoSZSgAAuwkJCZHJZPrNe0wmk86cOWOnRAAAYPfu3dansHbr1s3oOAAcCEUlAAAAAAAAFBrH3wAAAADAiQQHB6tt27Zq06aN2rZtq2rVqhkdCYCDolMJAAAATuvOnTvy8vIyOgZgV//+97+1Y8cO/fDDDzp16pQqVaqkNm3aWItM1atXNzoiAAdBUQkAAABOJT8/X//85z81b948paWl6cSJEwoNDdWECRMUEhKi5557zuiIgN2kpKRo+/bt2rhxo1avXq38/HyZzWajYwFwEC5GBwAAAADs6Z133tHSpUv13nvvycPDw7pet25dLVy40MBkgP1kZ2crJiZGH374oT744AOtXbtWdevW5QmsAAqFTiUAAAA4lbCwMM2fP18dOnSQj4+PkpKSFBoaqmPHjqlFixa6du2a0RGBItWyZUvt379ftWrVss5Wevzxx+Xr62t0NAAOhkHdAADD5OXladu2bUpOTlaVKlXUrl07ubq6Gh0LQDF36dIlhYWFFVjPz89Xbm6uAYkA+zp27JhKliyp8PBwhYeHq1atWhSUAPyfcPwNAGA3I0eO1MaNGyVJFy9eVL169dSlSxeNHz9eTzzxhCIiInTp0iWDUwIo7mrXrq0ff/yxwPratWsVERFhQCLAvq5evaqtW7eqefPmio6OVqtWrVSpUiX1799fCxYsMDoeAAfC8TcAgN0EBQXp+++/V926ddW3b19lZGTos88+k5+fnzIyMjRo0CB5eXlpzZo1RkcFUIx9/fXXGjRokN544w1NnjxZkyZN0vHjx7V8+XJt3LhRnTp1MjoiYDcWi0Xx8fGaO3euVq5cyaBuAIVCUQkAYDfe3t46cuSIqlatqsqVK+uLL75Qs2bNrPuHDh1Su3btdOXKFQNTAnAGP/74oyZPnqykpCRlZWWpUaNGmjhxojp37mx0NKDIJSQk6IcfftAPP/ygn376SZmZmapXr551vtLTTz9tdEQADoKZSgAAu6lRo4bi4uJUtWpV+fj46ObNmzb7mZmZys/PNygdAGfy2GOP6bvvvjM6BmCIZs2aKSIiQm3atNELL7ygxx9/XGXKlDE6FgAHRFEJAGA3Y8aM0bhx4xQYGKg33nhDo0aN0ocffqhatWrp+PHjeuWVV/TMM88YHROAE7h+/brWrl2rM2fOaNy4cSpXrpwSEhIUGBioSpUqGR0PKFIZGRkqXbq00TEAFAMcfwMA2NXMmTM1YcIEWSwWmc1m5eXlWfe6d++uFStWqFSpUgYmBFDcHThwQB07dlSZMmV07tw5HT9+XKGhoXrzzTeVnJys5cuXGx0RAACHQFEJAGB3169fV0xMjM6ePav8/HxVqFBBrVq1UvXq1Y2OBsAJdOzYUY0aNdJ7770nHx8fJSUlKTQ0VLGxserfv7/OnTtndESgSJnNZs2aNUtRUVFKTk5WTk6OzX5GRoZByQA4Go6/AQDsrmzZsurTp4/RMQA4qb1792r+/PkF1itVqqTU1FQDEgH2NWnSJC1cuFCvvvqq3nzzTY0fP17nzp3TV199pYkTJxodD4ADoagEALC7uLg47dq1y/rmLSgoSC1atLB5EhwAFBVPT88CDwqQpBMnTsjf39+ARIB9rVy5UgsWLFDXrl319ttvq1+/fqpWrZrq16+v3bt3a9SoUUZHBOAgOP4GALCby5cvq1evXtq5c6eCg4MVGBgoSUpLS1NycrJatWqlL774QgEBAQYnBVCcPf/887p69aqioqJUrlw5HThwQK6ururRo4cef/xxzZ492+iIQJEqWbKkjh49quDgYFWoUEGbNm1So0aNdObMGUVEROjGjRtGRwTgIFyMDgAAcB4vv/yyzGazjh49qnPnzmnPnj3as2ePzp07p6NHjyo/P18jRowwOiaAYm7GjBnKyspSQECAbt++rTZt2igsLEw+Pj765z//aXQ8oMg98sgjSklJkSRVq1ZNMTExku4dDfX09DQyGgAHQ6cSAMBufHx8tGPHDkVERNx3Pz4+Xm3btlVmZqadkwFwRjt37lRSUpKysrLUqFEjdezY0ehIgF28/vrrKl26tP7xj39o9erVGjBggEJCQpScnKwxY8Zo2rRpRkcE4CCYqQQAsJsHzTH5RWZmJn9DCqBI5ebmytvbW4mJiWrVqpVatWpldCTA7n5dNOrbt6+qVKmi2NhYVa9eXd26dTMwGQBHw/E3AIDd9O3bV4MGDdK6detsiks3b97UunXrNGTIEPXr18/AhACKO3d3dwUHB8tsNhsdBTBEbm6uhg4dqrNnz1rXmjdvrrFjx1JQAlBoHH8DANjN3bt3NXr0aC1evFh5eXny8PCQJOXk5MjNzU3PPfecZs2aRbcSgCK1aNEiffnll1qxYoXKlStndBzA7sqUKaPExERVrVrV6CgAHBxFJQCA3d28eVP79u1TWlqaJCkoKEiNGzdW6dKlDU4GwBlERETo1KlTys3NVZUqVVSyZEmb/YSEBIOSAfYxaNAgNWzYUGPGjDE6CgAHx0wlAIDdlS5dWu3btzc6BgAn1aNHD6MjAIaqXr26Jk+erJ07d6px48YFCqujRo0yKBkAR0OnEgDArtLT07V48WLt2rVLqampku51KrVs2VKDBw+Wv7+/wQkBFFeLFy/Wn//8Z47Ywun91rE3k8mkM2fO2DENAEdGUQkAYDd79+5VZGSkSpQooY4dOyowMFCSlJaWpi1btig7O1vR0dFq0qSJwUkBFEeurq5KSUlRQECAJKlixYqKjY1VSEiIscEAAHBQFJUAAHbTvHlzNWjQQPPmzZPJZLLZs1gsGj58uA4cOKBdu3YZlBBAcebi4qLU1FRrUcnHx0dJSUkKDQ01OBlgjJycHJ09e1bVqlWTmxuTUQAUnovRAQAAziMpKUljxowpUFCS7rXbjxkzRomJifYPBgCAE8nOztZzzz2nEiVKqE6dOkpOTpYkjRw5UtOmTTM4HQBHQlEJAGA3QUFBiouLe+B+XFyc9UgcAPzRTCaTTVH7P68BZ/HGG28oKSlJP/zwg7y8vKzrHTt21OrVqw1MBsDR0OMIALCbcePGadiwYYqPj1eHDh0KzFRasGCBpk+fbnBKAMWVxWJRjRo1rIWkrKwsRUREyMXF9u9ZMzIyjIgH2M1XX32l1atXq3nz5jaF1Tp16uj06dMGJgPgaCgqAQDsZsSIEfLz89OsWbP08ccfy2w2S7o3PLdx48ZaunSp+vTpY3BKAMXVkiVLjI4A/E+4cuWKdbbYr926dYvuPQCFwqBuAIAhcnNzlZ6eLkny8/OTu7u7wYkAAHAOjz/+uHr37q2RI0fKx8dHBw4cUNWqVTVy5EidPHlSmzdvNjoiAAdBpxIAwBDu7u6qUKGC0TEAAHA67777rrp06aIjR44oLy9PH3zwgY4cOaLY2Fht377d6HgAHAiDugEAAADAibRu3VqJiYnKy8tTvXr1FBMTo4CAAO3atUuNGzc2Oh4AB8LxNwAAAAAAABQax98AAAAAwMmYzWatW7dOR48elSTVrl1bTz/9tNzceIsI4OHRqQQAAAAATuTw4cPq3r27UlNTVbNmTUnSiRMn5O/vrw0bNqhu3boGJwTgKCgqAQAAwKmMHTv2vusmk0leXl4KCwvT008/rXLlytk5GWAfLVq0kL+/v5YtWyZfX19J0rVr1zR48GBduXJFsbGxBicE4CgoKgEAAMCptGvXTgkJCTKbzTZdGq6urgoPD9fx48dlMpn0008/qXbt2ganBf543t7e2rdvn+rUqWOzfujQITVt2lS3b982KBkAR8PT3wAAAOBUnn76aXXs2FE///yz4uPjFR8fr4sXL6pTp07q16+fLl26pMcff1xjxowxOipQJGrUqKG0tLQC65cvX1ZYWJgBiQA4KjqVAAAA4FQqVaqk7777rkAX0uHDh9W5c2ddunRJCQkJ6ty5s9LT0w1KCRSdb775Rn//+9/19ttvq3nz5pKk3bt3a/LkyZo2bZpat25tvbd06dJGxQTgABjtDwAAAKdy48YNXb58uUBR6cqVK7p586YkqWzZssrJyTEiHlDknnrqKUlSnz59ZDKZJEm/9Bp069bNem0ymWQ2m40JCcAhUFQCAACAU3n66ac1dOhQzZgxQ02bNpUk7d27V+PGjVOPHj0kSXFxcapRo4aBKYGis23bNqMjACgmOP4GAAAAp5KVlaUxY8Zo+fLlysvLkyS5ublp0KBBmjVrlkqWLKnExERJUsOGDY0LCgDA/ziKSgAAAHBKWVlZOnPmjCQpNDRUpUqVMjgRAACOhaISAAAAAAAACo2ZSgAAAHAqt27d0rRp07RlyxZdvnxZ+fn5Nvu/dC8BAIDfRlEJAAAATuX555/X9u3bNXDgQFWoUMH69CsAAFA4HH8DAACAUylbtqw2bdqkVq1aGR0FMMRnn32mfv363Xfvb3/7m95//307JwLgqFyMDgAAAADYk6+vr8qVK2d0DMAwL730kr799tsC62PGjNG///1vAxIBcFQUlQAAAOBUpkyZookTJyo7O9voKIAhVq5cqX79+umnn36yro0cOVJRUVHatm2bgckAOBqOvwEAAMCpRERE6PTp07JYLAoJCZG7u7vNfkJCgkHJAPtZtWqV/vrXv+q7777TokWL9PXXX2vbtm2qUaOG0dEAOBAGdQMAAMCp9OjRw+gIgOH69++v69evq1WrVvL399f27dsVFhZmdCwADoZOJQAAAAAo5saOHXvf9TVr1qhRo0aqVq2adW3mzJn2igXAwVFUAgAAAIBirl27dg91n8lk0tatW4s4DYDigqISAAAAir1y5crpxIkT8vPzk6+vr0wm0wPvzcjIsGMyAAAcFzOVAAAAUOzNmjVLPj4+kqTZs2cbGwYAgGKCTiUAAAAAcCLt2rX7zW49jr8BeFh0KgEAAKDYu3nz5kPfW7p06SJMAhivYcOGNte5ublKTEzUoUOHNGjQIGNCAXBIdCoBAACg2HNxcfnNzgxJslgsMplMMpvNdkoF/G95++23lZWVpenTpxsdBYCDoKgEAACAYm/79u0PfW+bNm2KMAnwv+vUqVNq1qwZw+oBPDSOvwEAAKDYo1AE/L5du3bJy8vL6BgAHAhFJQAAABR7Bw4ceOh769evX4RJAOM988wzNtcWi0UpKSnat2+fJkyYYFAqAI6I428AAAAo9n6ZqfR7f/RlphKcwZAhQ2yuXVxc5O/vr/bt26tz584GpQLgiCgqAQAAoNg7f/78Q99bpUqVIkwCAEDxQVEJAAAAAAAAhcZMJQAAADilI0eOKDk5WTk5OTbr3bt3NygRUHR8fX1lMpke6l6e/gbgYVFUAgAAgFM5c+aMevbsqYMHD9rMWfrlDTczlVAczZ492/rx1atX9c477ygyMlItWrSQdO/Jb9HR0QzqBlAoHH8DAACAU+nWrZtcXV21cOFCVa1aVXFxcbp69apeffVVTZ8+XY899pjREYEi1atXL7Vr105//etfbdbnzp2r77//Xl999ZUxwQA4HIpKAAAAcCp+fn7aunWr6tevrzJlyiguLk41a9bU1q1b9eqrr2r//v1GRwSKVKlSpZSYmKiwsDCb9VOnTqlhw4bKysoyKBkAR+NidAAAAADAnsxms3x8fCTdKzD9/PPPku499e348eNGRgPsonz58vr6668LrH/99dcqX768AYkAOCpmKgEAAMCp1K1bV0lJSapataoeffRRvffee/Lw8NCnn36q0NBQo+MBRW7SpEl6/vnn9cMPP+jRRx+VJO3Zs0ebN2/WggULDE4HwJFw/A0AAABOJTo6Wrdu3dIzzzyjU6dO6amnntKJEydUvnx5rV69Wu3btzc6IlDk9uzZozlz5ujo0aOSpFq1amnUqFHWIhMAPAyKSgAAAHB6GRkZhXrkOgAAoKgEAAAAJ3Pjxg2ZzWaVK1fOZj0jI0Nubm4qXbq0QckA+zGbzfrqq6+snUp16tRR9+7d5erqanAyAI6EQd0AAABwKs8++6w+//zzAutRUVF69tlnDUgE2NepU6dUu3Zt/eUvf9GXX36pL7/8UgMGDFCdOnV0+vRpo+MBcCB0KgEAAMCplCtXTjt37lStWrVs1o8dO6ZWrVrp6tWrBiUD7OPJJ5+UxWLRypUrrR17V69e1YABA+Ti4qJNmzYZnBCAo+DpbwAAAHAqd+/eVV5eXoH13Nxc3b5924BEgH1t375du3fvtjkCWr58eU2bNk2tWrUyMBkAR8PxNwAAADiVZs2a6dNPPy2wPm/ePDVu3NiARIB9eXp6KjMzs8B6VlaWPDw8DEgEwFHRqQQAAACn8s4776hjx45KSkpShw4dJElbtmzR3r17FRMTY3A6oOg99dRTGjZsmBYtWqRmzZpJkvbs2aPhw4ere/fuBqcD4EiYqQQAAACnk5iYqPfff1+JiYny9vZW/fr19cYbb6h69epGRwOK3PXr1zVo0CBt2LBB7u7ukqS8vDx1795dS5cuVZkyZQxOCMBRUFQCAAAAACdhsVh04cIF+fv769KlSzp69KgkqVatWgoLCzM4HQBHQ1EJAAAATiEvL09ms1menp7WtbS0NM2bN0+3bt1S9+7d1bp1awMTAkUvPz9fXl5eOnz4MJ15AP5rDOoGAACAU3jhhRc0atQo63VmZqaaNm2qjz76SNHR0WrXrp2++eYbAxMCRc/FxUXVq1fX1atXjY4CoBigqAQAAACnsHPnTvXq1ct6vXz5cpnNZp08eVJJSUkaO3as3n//fQMTAvYxbdo0/e1vf9OhQ4eMjgLAwXH8DQAAAE6hZMmSOnTokKpWrSpJeuaZZ/TII49ozpw5kqQjR46obdu2unz5spExgSLn6+ur7Oxs5eXlycPDQ97e3jb7GRkZBiUD4GjcjA4AAAAA2IOXl5du375tvd69e7dNZ5KXl5eysrKMiAbY1ezZs42OAKCYoKgEAAAAp9CwYUOtWLFCU6dO1Y8//qi0tDS1b9/eun/69GlVrFjRwISAfQwaNMjoCACKCYpKAAAAcAoTJ05Uly5dFBUVpZSUFA0ePFgVKlSw7q9bt06tWrUyMCFgP2azWevWrdPRo0clSbVr19bTTz8tNzfeIgJ4eMxUAgAAgNM4evSoYmJiFBQUpN69e8vF5f8/t+bTTz9Vs2bN1LBhQ+MCAnZw+PBhde/eXampqapZs6Yk6cSJE/L399eGDRtUt25dgxMCcBQUlQAAAADAibRo0UL+/v5atmyZfH19JUnXrl3T4MGDdeXKFcXGxhqcEICjoKgEAAAAAE7E29tb+/btU506dWzWDx06pKZNm9oMtAeA3+Ly+7cAAAAAAIqLGjVqKC0trcD65cuXFRYWZkAiAI6KohIAAAAAOJGpU6dq1KhRWrt2rS5evKiLFy9q7dq1Gj16tP71r3/p5s2b1l8A8Fs4/gYAAIBib86cORo2bJi8vLyUnJysypUry2QyGR0LMMSvB9T/8vvgl7eFv742mUwym832DwjAYVBUAgAAQLHn5uamn3/+WQEBAXJ1dVVKSooCAgKMjgUYYvv27Q99b5s2bYowCQBH52Z0AAAAAKCoVaxYUV988YWefPJJWSwWXbx4UXfu3LnvvcHBwXZOB9gXhSIAfxQ6lQAAAFDsffrppxo5cqTy8vIeeA/HfQAAKByKSgAAAHAKmZmZOn/+vOrXr6/vv/9e5cuXv+99DRo0sHMyAAAcE0UlAAAAFHu/HtS9bNky9enTR97e3kbHAgDAoVFUAgAAQLHHoG4AAP54DOoGAABAscegbkC6fPnybxZT8/LylJCQoGbNmtkxFQBHRqcSAAAAij0GdQMq0KVXr149ffPNN6pcubIkKS0tTRUrVuT3AICHRqcSAAAAir1hw4apX79+DzWoGyiu/rOf4Ny5c8rNzf3NewDgt1BUAgAAgFPw8fFR3bp1tWTJErVq1Uqenp5GRwL+55hMJqMjAHAgFJUAAADgVAYNGmR0BAAAigWKSgAAAHAqLi4uv9mNwTwZFFcmk0mZmZny8vKyzhDLysrSzZs3Jcn6TwB4WBSVAAAA4FS+/PJLm6JSbm6u9u/fr2XLlmnSpEkGJgOKlsViUY0aNWyuIyIibK45/gagMHj6GwAAACBp1apVWr16tb7++mujowBFYvv27Q91X5s2bYo4CYDigqISAAAAIOnMmTOqX7++srKyjI4CAIBDcDE6AAAAAGC027dva86cOapUqZLRUYAiExUVpZycHOv1xYsXlZ+fb73Ozs7We++9Z0Q0AA6KTiUAAAA4FV9fX5u5MRaLRZmZmSpRooT+/e9/q3v37gamA4qOq6urUlJSFBAQIEkqXbq0EhMTFRoaKklKS0tTxYoVGVYP4KExqBsAAABOZfbs2TbXLi4u8vf316OPPipfX19jQgF28J/9BPQXAPhvUVQCAACA08jLy9P58+c1dOhQPfLII0bHAQDAoTFTCQAAAE7Dzc1N77//vvLy8oyOAgCAw6NTCQAAAE6lffv22r59u0JCQoyOAthddHS0ypQpI0nKz8/Xli1bdOjQIUnS9evXDUwGwBExqBsAAABOZd68eZo0aZL+/Oc/q3HjxipZsqTNPoO6UVy5uPz+QRWTycSgbgAPjaISAAAAnMpvvbHmDTUAAA+PohIAAAAAQJJ0+/ZteXt7Gx0DgINgUDcAAAAAOLm7d+9qxowZqlq1qtFRADgQBnUDAACg2JszZ85D3ztq1KgiTAIY5+7du3r77bf13XffycPDQ3//+9/Vo0cPLVmyROPHj5erq6vGjBljdEwADoTjbwAAACj2/rP74sqVK8rOzlbZsmUl3XvqVYkSJRQQEKAzZ84YkBAoeq+99prmz5+vjh07KjY2VleuXNGQIUO0e/du/eMf/1Dv3r3l6upqdEwADoROJQAAABR7Z8+etX68atUqffzxx1q0aJFq1qwpSTp+/LheeOEFvfjii0ZFBIrcmjVrtHz5cnXv3l2HDh1S/fr1lZeXp6SkJJlMJqPjAXBAdCoBAADAqVSrVk1r165VRESEzXp8fLz+9Kc/2RSggOLEw8NDZ8+eVaVKlSRJ3t7eiouLU7169QxOBsBRMagbAAAATiUlJUV5eXkF1s1ms9LS0gxIBNiH2WyWh4eH9drNzU2lSpUyMBEAR0enEgAAAJxKt27ddOnSJS1cuFCNGjWSdK9LadiwYapUqZLWr19vcEKgaLi4uKhLly7y9PSUJG3YsEHt27dXyZIlbe778ssvjYgHwAFRVAIAAIBTuXLligYNGqTNmzfL3d1dkpSXl6fIyEgtXbpUAQEBBicEisbgwYMfanbSkiVL7JAGQHFAUQkAAABO6cSJEzp27JgkKTw8XDVq1DA4EQAAjoWiEgAAAAA4gTNnzqhq1ao86Q3AH4aiEgAAAJyK2WzW0qVLtWXLFl2+fFn5+fk2+1u3bjUoGVC0XF1dlZKSYj3i2bdvX82ZM0eBgYEGJwPgqNyMDgAAAADY0yuvvKKlS5eqa9euqlu3Ll0bcBr/2U/wzTffaOrUqQalAVAcUFQCAACAU/n8888VFRWlJ5980ugoAAA4NBejAwAAAAD25OHhobCwMKNjAHZnMpkKdObRqQfgv8FMJQAAADiVGTNm6MyZM5o7dy5vqOFUXFxc1KVLF3l6ekqSNmzYoPbt26tkyZI293355ZdGxAPggCgqAQAAwKn07NlT27ZtU7ly5VSnTh25u7vb7POGGsXVkCFDHuq+JUuWFHESAMUFM5UAAADgVMqWLauePXsaHQOwO4pFAP5odCoBAAAAAACg0BjUDQAAAAAAgELj+BsAAACcztq1axUVFaXk5GTl5OTY7CUkJBiUCgAAx0KnEgAAAJzKnDlzNGTIEAUGBmr//v1q1qyZypcvrzNnzqhLly5GxwMAwGEwUwkAAABOJTw8XG+99Zb69esnHx8fJSUlKTQ0VBMnTlRGRobmzp1rdEQAABwCnUoAAABwKsnJyWrZsqUkydvbW5mZmZKkgQMH6rPPPjMyGlCkTpw4obi4OJu1LVu2qF27dmrWrJneffddg5IBcFQUlQAAAOBUgoKClJGRIUkKDg7W7t27JUlnz54VTfwozl577TVt3LjRen327Fl169ZNHh4eatGihaZOnarZs2cbFxCAw6GoBAAAAKfSvn17rV+/XpI0ZMgQjRkzRp06dVLfvn3Vs2dPg9MBRWffvn02c8NWrlypGjVqKDo6Wh988IFmz56tpUuXGhcQgMNhphIAAACcSn5+vvLz8+Xmdu9ByJ9//rliY2NVvXp1vfjii/Lw8DA4IVA0vL29deLECVWuXFmS1KFDB7Vs2VJTpkyRJJ0+fVqNGzfW9evXDUwJwJG4GR0AAAAAsCcXFxe5uPz/hv1nn31Wzz77rIGJAPsoV66cUlJSVLlyZeXn52vfvn0aO3asdT8nJ4cjoAAKhaISAAAAnMrJkyf19ddf69y5czKZTAoNDVWPHj1UtWpVo6MBRapt27aaMmWKPv74Y61Zs0b5+flq27atdf/IkSMKCQkxLB8Ax8PxNwAAADiNqVOnauLEicrPz1dAQIAsFouuXLkiV1dXvfvuuxo3bpzREYEic+7cOXXq1EmnT5+Wq6ur5syZo5deesm6/0txddasWQamBOBIKCoBAADAKWzbtk0dO3bUhAkT9Morr8jX11eSlJGRodmzZ+vdd9/V1q1b9fjjjxucFCg6eXl5Onz4sPz9/VWxYkWbvaSkJD3yyCMqX768QekAOBqKSgAAAHAKffv2VdmyZTV//vz77g8bNkyZmZn67LPP7JwMAADH5PL7twAAAACOLy4uTgMHDnzg/sCBA7V79247JgIAwLFRVAIAAIBTSEtL+80hxFWrVlVqaqr9AgEA4OAoKgEAAMAp3LlzRx4eHg/cd3d3V05Ojh0TAQDg2NyMDgAAAADYy8KFC1WqVKn77mVmZto5DQAAjo1B3QAAAHAKISEhMplMv3vf2bNn7ZAGMM6BAwfuu24ymeTl5aXg4GB5enraORUAR0RRCQAAAACciIuLy28WWN3d3dW3b1/Nnz9fXl5edkwGwNEwUwkAAAAAnMi6detUvXp1ffrpp0pMTFRiYqI+/fRT1axZU6tWrdKiRYu0detWvfnmm0ZHBfA/jk4lAAAAAHAizZo105QpUxQZGWmzHh0drQkTJiguLk5fffWVXn31VZ0+fdqglAAcAZ1KAAAAAOBEDh48qCpVqhRYr1Klig4ePChJatiwoVJSUuwdDYCDoagEAAAAAE4kPDxc06ZNU05OjnUtNzdX06ZNU3h4uCTp0qVLCgwMNCoiAAfhZnQAAAAAAID9fPTRR+revbseeeQR1a9fX9K97iWz2ayNGzdKks6cOaOXX37ZyJgAHAAzlQAAAOBUbt26pfj4eKWkpMjFxUWhoaFq1KjRbz4NCyhuMjMztXLlSp04cUKSVLNmTfXv318+Pj4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      "text/plain": [
       "<Figure size 1400x800 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "# Sorting total_combined for visualisation\n",
    "sorted_outlets = total_combined.groupby('Outlet').sum().reset_index().sort_values(by='AmountContribution(%)', ascending=False)\n",
    "\n",
    "# Barplot kontribusi Add-On per Outlet\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(data=sorted_outlets, x='AmountContribution(%)', y='Outlet', palette='Blues_r')\n",
    "plt.xlabel('Add-On Contribution to Total Amount of Services (%)')\n",
    "plt.ylabel('Outlet')\n",
    "plt.title('Add-On Contribution to Total Service Amount per Outlet')\n",
    "plt.show()\n",
    "\n",
    "# Agregasi data kontribusi Add-On per produk\n",
    "addon_summary = total_combined.groupby('ItemName').sum().reset_index().sort_values(by='AmountContribution(%)', ascending=False)\n",
    "\n",
    "# Barplot kontribusi Add-On per produk\n",
    "plt.figure(figsize=(12, 6))\n",
    "sns.barplot(data=addon_summary, x='AmountContribution(%)', y='ItemName', palette='viridis')\n",
    "plt.xlabel('Add-On Contribution to Total Amount of Services (%)')\n",
    "plt.ylabel('Add-On')\n",
    "plt.title('Add-On Contribution to Total Service Amount per Product')\n",
    "plt.show()\n",
    "\n",
    "# Pivot table for heatmap\n",
    "heatmap_data = total_combined.pivot_table(\n",
    "    index='Outlet', \n",
    "    columns='ItemName', \n",
    "    values='AmountContribution(%)', \n",
    "    aggfunc='sum'\n",
    ")\n",
    "\n",
    "# Heatmap\n",
    "plt.figure(figsize=(14, 8))\n",
    "sns.heatmap(heatmap_data, annot=True, fmt=\".1f\", cmap=\"YlGnBu\", cbar=True)\n",
    "plt.title('Distribution of Add-On Contribution to Total Service Amount per Outlet')\n",
    "plt.xlabel('ItemName (Add-On)')\n",
    "plt.ylabel('Outlet')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "45574527",
   "metadata": {
    "papermill": {
     "duration": 0.006401,
     "end_time": "2024-11-21T07:56:01.578757",
     "exception": false,
     "start_time": "2024-11-21T07:56:01.572356",
     "status": "completed"
    },
    "tags": []
   },
   "source": [
    "### **Business Interpretation Based on Add-On Contribution to Total Service**\n",
    "\n",
    "Here’s a simplified interpretation of the data showing how Add-On services contribute to total sales at various outlets:\n",
    "\n",
    "\n",
    "### **1. General Insights**\n",
    "- **Popular Add-On Services**:\n",
    "  - Services like **“003 Vitamin”** and **“004 Silet Razor”** are consistently top-performing, contributing 20%–23% of the total service quantity across most outlets. These are highly in demand.\n",
    "  \n",
    "- **High-Value Premium Services**:\n",
    "  - **“030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0”** might have lower sales quantity (less than 1%), but it contributes significantly to revenue, reaching up to 2.87% in BK01 - ATMI. This means it’s a high-priced service with strong potential to boost profits.\n",
    "\n",
    "- **Differences Between Outlets**:\n",
    "  - Each outlet shows unique trends in Add-On contributions, likely influenced by customer preferences and local marketing strategies.\n",
    "\n",
    "\n",
    "### **2. Outlet-Specific Observations**\n",
    "\n",
    "#### **BK01 - ATMI**:\n",
    "- **“003 Vitamin”**: 22.7% of quantity, 1.65% of revenue.\n",
    "- **“004 Silet Razor”**: 12.19% of quantity, 1.48% of revenue.\n",
    "- **“030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0”**: Small quantity (6 units) but contributes 2.87% to revenue.\n",
    "\n",
    "#### **BK05 - JAKAL**:\n",
    "- **“003 Vitamin”**: 23.58% of quantity, 1.68% of revenue.\n",
    "- **“004 Silet Razor”**: 15.92% of quantity, 1.89% of revenue.\n",
    "- **“030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0”**: Only 4 units sold but adds 1.89% to revenue.\n",
    "\n",
    "#### **BK07 - GAJAH MADA**:\n",
    "- **“003 Vitamin”**: 20.3% of quantity, 1.55% of revenue.\n",
    "- **“004 Silet Razor”**: 15.36% of quantity, 1.95% of revenue.\n",
    "- **“030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0”**: Contributes 2.06% of revenue with just 4 units sold.\n",
    "\n",
    "#### **BK09 - PLEBURAN**:\n",
    "- **“003 Vitamin”**: 22.23% of quantity, 1.74% of revenue.\n",
    "- **“004 Silet Razor”**: 17.04% of quantity, 2.22% of revenue.\n",
    "- **“030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0”**: Adds 1.98% of revenue from only 4 units.\n",
    "\n",
    "#### **BK16 - GENTAN**:\n",
    "- **“003 Vitamin”**: 22.33% of quantity, 1.69% of revenue.\n",
    "- **“004 Silet Razor”**: 11.88% of quantity, 1.50% of revenue.\n",
    "- **“030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0”**: Only 4 units but contributes meaningfully to revenue.\n",
    "\n",
    "\n",
    "### **3. Business Insights**\n",
    "\n",
    "1. **Focus on Top Performers**:\n",
    "   - Services like **“003 Vitamin”** and **“004 Silet Razor”** are widely popular and should remain a key focus. Consider promotions, bundles, or discounts to encourage even higher sales.\n",
    "\n",
    "2. **Leverage Premium Services**:\n",
    "   - Services like **“030 Sculpting S FREE produk perawatan Neutralizer Serum Rp 0”** may sell in small numbers but significantly increase revenue due to their high price. Staff can upsell these to customers who value premium treatments.\n",
    "\n",
    "3. **Tailored Strategies for Each Outlet**:\n",
    "   - Outlets show different patterns in service popularity. Customizing marketing efforts for each location can maximize sales. For example, focus on promoting **“004 Silet Razor”** more in outlets where it already performs well.\n",
    "\n",
    "4. **Boost Low-Performing Add-Ons**:\n",
    "   - Add-Ons like **“006 Facial Shave & Full Trimming”** and **“022 Black Mask Full Face”** have minimal contributions. Special campaigns or better visibility might help increase their sales.\n",
    "\n",
    "5. **Monitor and Adapt**:\n",
    "   - Regularly track Add-On performance to quickly spot changes in customer preferences and adjust strategies accordingly.\n",
    "\n",
    "\n",
    "### **4. Summary**\n",
    "\n",
    "Add-On services play a crucial role in boosting overall sales. By focusing on the most popular services, upselling premium treatments, and tailoring strategies to each outlet, the business can maximize both revenue and customer satisfaction."
   ]
  }
 ],
 "metadata": {
  "kaggle": {
   "accelerator": "none",
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    }
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   "isGpuEnabled": false,
   "isInternetEnabled": true,
   "language": "python",
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