From b15e79f7a933f85308a9ca11dfe670b8d352cca3 Mon Sep 17 00:00:00 2001
From: Milena Perez <mih.perez1@gmail.com>
Date: Wed, 8 Mar 2023 13:50:37 +0000
Subject: [PATCH] comments

---
 your-code/main.ipynb | 919 +++++++++++++++++++++++++++++++++++++++++--
 1 file changed, 890 insertions(+), 29 deletions(-)

diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 9a2d1ae..411ee44 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -12,14 +12,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Import your libraries:\n",
     "\n",
     "%matplotlib inline\n",
-    "\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sn\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
     "import pandas as pd"
@@ -38,12 +39,165 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "      <td>440.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>1.322727</td>\n",
+       "      <td>2.543182</td>\n",
+       "      <td>12000.297727</td>\n",
+       "      <td>5796.265909</td>\n",
+       "      <td>7951.277273</td>\n",
+       "      <td>3071.931818</td>\n",
+       "      <td>2881.493182</td>\n",
+       "      <td>1524.870455</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>0.468052</td>\n",
+       "      <td>0.774272</td>\n",
+       "      <td>12647.328865</td>\n",
+       "      <td>7380.377175</td>\n",
+       "      <td>9503.162829</td>\n",
+       "      <td>4854.673333</td>\n",
+       "      <td>4767.854448</td>\n",
+       "      <td>2820.105937</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>55.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>25.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3127.750000</td>\n",
+       "      <td>1533.000000</td>\n",
+       "      <td>2153.000000</td>\n",
+       "      <td>742.250000</td>\n",
+       "      <td>256.750000</td>\n",
+       "      <td>408.250000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>8504.000000</td>\n",
+       "      <td>3627.000000</td>\n",
+       "      <td>4755.500000</td>\n",
+       "      <td>1526.000000</td>\n",
+       "      <td>816.500000</td>\n",
+       "      <td>965.500000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>16933.750000</td>\n",
+       "      <td>7190.250000</td>\n",
+       "      <td>10655.750000</td>\n",
+       "      <td>3554.250000</td>\n",
+       "      <td>3922.000000</td>\n",
+       "      <td>1820.250000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>112151.000000</td>\n",
+       "      <td>73498.000000</td>\n",
+       "      <td>92780.000000</td>\n",
+       "      <td>60869.000000</td>\n",
+       "      <td>40827.000000</td>\n",
+       "      <td>47943.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "          Channel      Region          Fresh          Milk       Grocery  \\\n",
+       "count  440.000000  440.000000     440.000000    440.000000    440.000000   \n",
+       "mean     1.322727    2.543182   12000.297727   5796.265909   7951.277273   \n",
+       "std      0.468052    0.774272   12647.328865   7380.377175   9503.162829   \n",
+       "min      1.000000    1.000000       3.000000     55.000000      3.000000   \n",
+       "25%      1.000000    2.000000    3127.750000   1533.000000   2153.000000   \n",
+       "50%      1.000000    3.000000    8504.000000   3627.000000   4755.500000   \n",
+       "75%      2.000000    3.000000   16933.750000   7190.250000  10655.750000   \n",
+       "max      2.000000    3.000000  112151.000000  73498.000000  92780.000000   \n",
+       "\n",
+       "             Frozen  Detergents_Paper    Delicassen  \n",
+       "count    440.000000        440.000000    440.000000  \n",
+       "mean    3071.931818       2881.493182   1524.870455  \n",
+       "std     4854.673333       4767.854448   2820.105937  \n",
+       "min       25.000000          3.000000      3.000000  \n",
+       "25%      742.250000        256.750000    408.250000  \n",
+       "50%     1526.000000        816.500000    965.500000  \n",
+       "75%     3554.250000       3922.000000   1820.250000  \n",
+       "max    60869.000000      40827.000000  47943.000000  "
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# loading the data:\n",
-    "customers = pd.read_csv('../Wholesale customers data.csv')"
+    "customers = pd.read_csv('../Wholesale customers data.csv')\n",
+    "\n",
+    "customers.describe()"
    ]
   },
   {
@@ -67,13 +221,227 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Channel             int64\n",
+       "Region              int64\n",
+       "Fresh               int64\n",
+       "Milk                int64\n",
+       "Grocery             int64\n",
+       "Frozen              int64\n",
+       "Detergents_Paper    int64\n",
+       "Delicassen          int64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.dtypes\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Channel             0\n",
+       "Region              0\n",
+       "Fresh               0\n",
+       "Milk                0\n",
+       "Grocery             0\n",
+       "Frozen              0\n",
+       "Detergents_Paper    0\n",
+       "Delicassen          0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.isna().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12669</td>\n",
+       "      <td>9656</td>\n",
+       "      <td>7561</td>\n",
+       "      <td>214</td>\n",
+       "      <td>2674</td>\n",
+       "      <td>1338</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7057</td>\n",
+       "      <td>9810</td>\n",
+       "      <td>9568</td>\n",
+       "      <td>1762</td>\n",
+       "      <td>3293</td>\n",
+       "      <td>1776</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6353</td>\n",
+       "      <td>8808</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>2405</td>\n",
+       "      <td>3516</td>\n",
+       "      <td>7844</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>13265</td>\n",
+       "      <td>1196</td>\n",
+       "      <td>4221</td>\n",
+       "      <td>6404</td>\n",
+       "      <td>507</td>\n",
+       "      <td>1788</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>22615</td>\n",
+       "      <td>5410</td>\n",
+       "      <td>7198</td>\n",
+       "      <td>3915</td>\n",
+       "      <td>1777</td>\n",
+       "      <td>5185</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Channel  Region  Fresh  Milk  Grocery  Frozen  Detergents_Paper  Delicassen\n",
+       "0        2       3  12669  9656     7561     214              2674        1338\n",
+       "1        2       3   7057  9810     9568    1762              3293        1776\n",
+       "2        2       3   6353  8808     7684    2405              3516        7844\n",
+       "3        1       3  13265  1196     4221    6404               507        1788\n",
+       "4        2       3  22615  5410     7198    3915              1777        5185"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "C:\\Users\\milena.xavier\\AppData\\Local\\Temp\\ipykernel_10232\\2167552426.py:3: DeprecationWarning: `np.bool` is a deprecated alias for the builtin `bool`. To silence this warning, use `bool` by itself. Doing this will not modify any behavior and is safe. If you specifically wanted the numpy scalar type, use `np.bool_` here.\n",
+      "Deprecated in NumPy 1.20; for more details and guidance: https://numpy.org/devdocs/release/1.20.0-notes.html#deprecations\n",
+      "  mask = np.zeros_like(corr, dtype=np.bool)\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1400x1400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "corr=np.abs(customers.corr())\n",
+    "#Set up mask for triangle representation\n",
+    "mask = np.zeros_like(corr, dtype=np.bool)\n",
+    "mask[np.triu_indices_from(mask)] = True\n",
+    "# Set up the matplotlib figure\n",
+    "f, ax = plt.subplots(figsize=(14, 14))\n",
+    "# Generate a custom diverging colormap\n",
+    "cmap = sn.diverging_palette(220, 10, as_cmap=True)\n",
+    "# Draw the heatmap with the mask and correct aspect ratio\n",
+    "sn.heatmap(corr, mask=mask,  vmax=1,square=True, linewidths=.5, cbar_kws={\"shrink\": .5},annot = corr)\n",
+    "plt.show() "
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -127,7 +495,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -135,7 +503,12 @@
     "\n",
     "from sklearn.preprocessing import StandardScaler\n",
     "\n",
-    "# Your code here:\n"
+    "# create object\n",
+    "scaler = StandardScaler()\n",
+    "# fit\n",
+    "scaler.fit(customers)\n",
+    "# transform \n",
+    "customers_scale = scaler.transform(customers)\n"
    ]
   },
   {
@@ -149,13 +522,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "metadata": {
     "scrolled": true
    },
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "from sklearn import cluster, datasets\n",
+    "kmeans=cluster.KMeans(n_clusters=3)\n",
+    "\n",
+    "#fit the model\n",
+    "kmeans.fit(customers_scale)\n",
+    "\n",
+    "customers['labels'] = kmeans.fit(customers_scale).labels_\n",
+    "\n",
+    "pred=kmeans.predict(customers_scale)\n"
    ]
   },
   {
@@ -167,11 +548,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    297\n",
+       "1    130\n",
+       "2     13\n",
+       "Name: labels, dtype: int64"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "customers['labels'].value_counts()\n"
    ]
   },
   {
@@ -185,13 +580,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {
     "scrolled": true
    },
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "dbscan=cluster.DBSCAN(eps=0.5)\n",
+    "pred=dbscan.fit_predict(customers_scale)\n",
+    "customers['labels_DBSCAN'] = dbscan.fit(customers_scale).labels_\n"
    ]
   },
   {
@@ -203,11 +600,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-1    255\n",
+       " 1    130\n",
+       " 5     22\n",
+       " 4      7\n",
+       " 6      6\n",
+       " 0      5\n",
+       " 3      5\n",
+       " 2      5\n",
+       " 7      5\n",
+       "Name: labels_DBSCAN, dtype: int64"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "customers['labels_DBSCAN'].value_counts()\n"
    ]
   },
   {
@@ -232,13 +649,52 @@
     "Visualize `Detergents_Paper` as X and `Milk` as y by `labels` and `labels_DBSCAN` respectively"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 24,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X=customers[\"Detergents_Paper\"]\n",
+    "y=customers[\"Milk\"]\n",
+    "\n",
+    "plt.scatter(X,y, c=customers['labels'], alpha= 0.5)\n",
+    "plt.title(\"KMeans\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.scatter(X,y, c=customers['labels_DBSCAN'], alpha= 0.5)\n",
+    "plt.title(\"DBSCAN\")\n",
+    "plt.show()\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "#Kmeans look more separated in clusters and organized. "
    ]
   },
   {
@@ -248,13 +704,52 @@
     "Visualize `Grocery` as X and `Fresh` as y by `labels` and `labels_DBSCAN` respectively"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 25,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X=customers[\"Grocery\"]\n",
+    "y=customers[\"Fresh\"]\n",
+    "\n",
+    "plt.scatter(X,y, c=customers['labels'], alpha= 0.5)\n",
+    "plt.title(\"KMeans\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.scatter(X,y, c=customers['labels_DBSCAN'], alpha= 0.5)\n",
+    "plt.title(\"DBSCAN\")\n",
+    "plt.show()\n"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "#Kmeans look more separated in clusters and organized. "
    ]
   },
   {
@@ -264,13 +759,52 @@
     "Visualize `Frozen` as X and `Delicassen` as y by `labels` and `labels_DBSCAN` respectively"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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uhkjR0RgdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGi9Y6CzvLly7Esi1tuuaVwzBjDnXfeSX19PYFAgEsuuYTt27ePeF4qleJrX/saVVVVBINBrr32Wg4fPjyipr+/n2XLlhEOhwmHwyxbtoyBgYERNc3NzVxzzTUEg0Gqqqq4+eabSafT7+QjiYiISBF520Hn+eef58c//jFz5swZcfw73/kO99xzD/feey/PP/88dXV1XHHFFQwODhZqbrnlFh555BFWrFjB2rVrGRoaYunSpeRyuULNddddx+bNm1m5ciUrV65k8+bNLFu2rHA+l8tx9dVXE4/HWbt2LStWrODhhx/m1ltvfbsfSURERIqNeRsGBwfNlClTzOrVq83FF19svv71rxtjjHEcx9TV1Zm77767UJtMJk04HDb33XefMcaYgYEB4/F4zIoVKwo1ra2txrZts3LlSmOMMTt27DCA2bBhQ6Fm/fr1BjC7du0yxhjzxBNPGNu2TWtra6HmoYceMj6fz0Sj0RP6HNFo1AAnXC8iIiJn38l8f7+tHp2vfvWrXH311Vx++eUjjh84cICOjg4WL15cOObz+bj44otZt24dAE1NTWQymRE19fX1NDY2FmrWr19POBxmwYIFhZrzzz+fcDg8oqaxsZH6+vpCzZIlS0ilUjQ1NR233alUilgsNuIhIiIixct9sk9YsWIFTU1NvPDCC8ec6+joAKC2tnbE8draWg4dOlSo8Xq9RCKRY2pefX5HRwc1NTXHvH5NTc2ImqPfJxKJ4PV6CzVHW758Of/4j/94Ih9TREREisBJ9ei0tLTw9a9/nV/+8pf4/f43rLMsa8TPxphjjh3t6Jrj1b+dmte7/fbbiUajhUdLS8ubtklERETe204q6DQ1NdHV1cW8efNwu9243W7WrFnDv/3bv+F2uws9LEf3qHR1dRXO1dXVkU6n6e/vf9Oazs7OY96/u7t7RM3R79Pf308mkzmmp+dVPp+PsrKyEQ8REREpXicVdC677DK2bt3K5s2bC4/58+fzuc99js2bNzNx4kTq6upYvXp14TnpdJo1a9awaNEiAObNm4fH4xlR097ezrZt2wo1CxcuJBqNsmnTpkLNxo0biUajI2q2bdtGe3t7oWbVqlX4fD7mzZv3Ni6FiIiIFJuTGqMTCoVobGwccSwYDFJZWVk4fsstt3DXXXcxZcoUpkyZwl133UVJSQnXXXcdAOFwmC9+8YvceuutVFZWUlFRwW233cbs2bMLg5tnzJjBlVdeyQ033MD9998PwJe+9CWWLl3KtGnTAFi8eDEzZ85k2bJlfPe736Wvr4/bbruNG264QT01IiIiAryNwchv5Zvf/CaJRIIbb7yR/v5+FixYwKpVqwiFQoWa73//+7jdbj796U+TSCS47LLLePDBB3G5XIWaX/7yl9x8882F2VnXXnst9957b+G8y+Xi8ccf58Ybb+SCCy4gEAhw3XXX8b3vfe9UfyQRERF5j7KMMeZsN+JsicVihMNhotGoeoFERETeI07m+1t7XYmIiEjRUtARERGRoqWgIyIiIkVLQUdERESKloKOiIiIFC0FHRERESlaCjoiIiJStBR0REREpGgp6IiIiEjRUtARERGRoqWgIyIiIkVLQUdERESKloKOiIiIFC0FHRERESlaCjoiIiJStBR0REREpGgp6IiIiEjRUtARERGRoqWgIyIiIkVLQUdERESKloKOiIiIFC0FHRERESlaCjoiIiJStBR0REREpGgp6IiIiEjRUtARERGRoqWgIyIiIkVLQUdERESKloKOiIiIFC0FHRERESlaCjoiIiJStBR0REREpGgp6IiIiEjRUtARERGRoqWgIyIiIkVLQUdERESKloKOiIiIFC0FHRERESlaCjoiIiJStBR0REREpGgp6IiIiEjRUtARERGRoqWgIyIiIkVLQUdERESKloKOiIiIFC0FHRERESlaCjoiIiJStBR0REREpGgp6IiIiEjRUtARERGRoqWgIyIiIkVLQUdERESKloKOiIiIFC0FHRERESlaCjoiIiJStBR0REREpGgp6IiIiEjRUtARERGRoqWgIyIiIkXrpILOj370I+bMmUNZWRllZWUsXLiQP/zhD4XzxhjuvPNO6uvrCQQCXHLJJWzfvn3Ea6RSKb72ta9RVVVFMBjk2muv5fDhwyNq+vv7WbZsGeFwmHA4zLJlyxgYGBhR09zczDXXXEMwGKSqqoqbb76ZdDp9kh9fREREitlJBZ2GhgbuvvtuXnjhBV544QU+/OEP89GPfrQQZr7zne9wzz33cO+99/L8889TV1fHFVdcweDgYOE1brnlFh555BFWrFjB2rVrGRoaYunSpeRyuULNddddx+bNm1m5ciUrV65k8+bNLFu2rHA+l8tx9dVXE4/HWbt2LStWrODhhx/m1ltvfafXQ0RERIqJeYcikYj56U9/ahzHMXV1debuu+8unEsmkyYcDpv77rvPGGPMwMCA8Xg8ZsWKFYWa1tZWY9u2WblypTHGmB07dhjAbNiwoVCzfv16A5hdu3YZY4x54oknjG3bprW1tVDz0EMPGZ/PZ6LR6Am3PRqNGuCkniMiIiJn18l8f7/tMTq5XI4VK1YQj8dZuHAhBw4coKOjg8WLFxdqfD4fF198MevWrQOgqamJTCYzoqa+vp7GxsZCzfr16wmHwyxYsKBQc/755xMOh0fUNDY2Ul9fX6hZsmQJqVSKpqamN2xzKpUiFouNeIiIiEjxOumgs3XrVkpLS/H5fHz5y1/mkUceYebMmXR0dABQW1s7or62trZwrqOjA6/XSyQSedOampqaY963pqZmRM3R7xOJRPB6vYWa41m+fHlh3E84HGbMmDEn+elFRETkveSkg860adPYvHkzGzZs4Ctf+QrXX389O3bsKJy3LGtEvTHmmGNHO7rmePVvp+Zot99+O9FotPBoaWl503aJiIjIe9tJBx2v18vkyZOZP38+y5cvZ+7cufzgBz+grq4O4Jgela6urkLvS11dHel0mv7+/jet6ezsPOZ9u7u7R9Qc/T79/f1kMpljenpez+fzFWaMvfoQERGR4vWO19ExxpBKpZgwYQJ1dXWsXr26cC6dTrNmzRoWLVoEwLx58/B4PCNq2tvb2bZtW6Fm4cKFRKNRNm3aVKjZuHEj0Wh0RM22bdtob28v1KxatQqfz8e8efPe6UcSERGRIuE+meJ/+Id/4KqrrmLMmDEMDg6yYsUK/vSnP7Fy5Uosy+KWW27hrrvuYsqUKUyZMoW77rqLkpISrrvuOgDC4TBf/OIXufXWW6msrKSiooLbbruN2bNnc/nllwMwY8YMrrzySm644Qbuv/9+AL70pS+xdOlSpk2bBsDixYuZOXMmy5Yt47vf/S59fX3cdttt3HDDDeqlERERkYKTCjqdnZ0sW7aM9vZ2wuEwc+bMYeXKlVxxxRUAfPOb3ySRSHDjjTfS39/PggULWLVqFaFQqPAa3//+93G73Xz6058mkUhw2WWX8eCDD+JyuQo1v/zlL7n55psLs7OuvfZa7r333sJ5l8vF448/zo033sgFF1xAIBDguuuu43vf+947uhgiIiJSXCxjjDnbjThbYrEY4XCYaDSqniAREZH3iJP5/tZeVyIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaAjIiIiRUtBR0RERIqWgo6IiIgULQUdERERKVoKOiIiIlK0FHRERESkaCnoiIiISNE6qaCzfPlyzjvvPEKhEDU1NXzsYx9j9+7dI2qMMdx5553U19cTCAS45JJL2L59+4iaVCrF1772NaqqqggGg1x77bUcPnx4RE1/fz/Lli0jHA4TDodZtmwZAwMDI2qam5u55pprCAaDVFVVcfPNN5NOp0/mI4mIiEgRO6mgs2bNGr761a+yYcMGVq9eTTabZfHixcTj8ULNd77zHe655x7uvfdenn/+eerq6rjiiisYHBws1Nxyyy088sgjrFixgrVr1zI0NMTSpUvJ5XKFmuuuu47NmzezcuVKVq5cyebNm1m2bFnhfC6X4+qrryYej7N27VpWrFjBww8/zK233vpOroeIiIgUE/MOdHV1GcCsWbPGGGOM4zimrq7O3H333YWaZDJpwuGwue+++4wxxgwMDBiPx2NWrFhRqGltbTW2bZuVK1caY4zZsWOHAcyGDRsKNevXrzeA2bVrlzHGmCeeeMLYtm1aW1sLNQ899JDx+XwmGo2eUPuj0agBTrheREREzr6T+f5+R2N0otEoABUVFQAcOHCAjo4OFi9eXKjx+XxcfPHFrFu3DoCmpiYymcyImvr6ehobGws169evJxwOs2DBgkLN+eefTzgcHlHT2NhIfX19oWbJkiWkUimampqO295UKkUsFhvxEBERkeL1toOOMYZvfOMbXHjhhTQ2NgLQ0dEBQG1t7Yja2trawrmOjg68Xi+RSORNa2pqao55z5qamhE1R79PJBLB6/UWao62fPnywpifcDjMmDFjTvZji4iIyHvI2w46N910E1u2bOGhhx465pxlWSN+NsYcc+xoR9ccr/7t1Lze7bffTjQaLTxaWlretE0iIiLy3va2gs7XvvY1HnvsMZ555hkaGhoKx+vq6gCO6VHp6uoq9L7U1dWRTqfp7+9/05rOzs5j3re7u3tEzdHv09/fTyaTOaan51U+n4+ysrIRDxERESleJxV0jDHcdNNN/Pa3v+Xpp59mwoQJI85PmDCBuro6Vq9eXTiWTqdZs2YNixYtAmDevHl4PJ4RNe3t7Wzbtq1Qs3DhQqLRKJs2bSrUbNy4kWg0OqJm27ZttLe3F2pWrVqFz+dj3rx5J/OxREREpEhZxhhzosU33ngjv/rVr/jv//5vpk2bVjgeDocJBAIAfPvb32b58uU88MADTJkyhbvuuos//elP7N69m1AoBMBXvvIVfv/73/Pggw9SUVHBbbfdRm9vL01NTbhcLgCuuuoq2trauP/++wH40pe+xLhx4/jd734H5KeXn3POOdTW1vLd736Xvr4+Pv/5z/Oxj32Mf//3fz+hzxOLxQiHw0SjUfXuiIiIvEec1Pf3yUznAo77eOCBBwo1juOYO+64w9TV1Rmfz2cuuugis3Xr1hGvk0gkzE033WQqKipMIBAwS5cuNc3NzSNqent7zec+9zkTCoVMKBQyn/vc50x/f/+ImkOHDpmrr77aBAIBU1FRYW666SaTTCZP+PNoermIiMh7z8l8f59Uj06xUY+OiIjIe8/JfH9rrysREREpWgo6IiIiUrQUdERERKRoKeiIiIhI0VLQERERkaKloCMiIiJFS0FHREREipaCjoiIiBQtBR0REREpWgo6IiIiUrQUdERERKRoKeiIiIhI0VLQeR9JpzJEe2IkhhJnuykiIiJnhPtsN0BOv3hsmJf+uJWtz+0kHh3G7XUzdd5Ezr1sNqMm1J7t5omIiJw26tEpcvHYMI/++x946r+eZag/TkkogAVseuIl/u+//I5DOw+f7SaKiIicNgo6Ra5p1cvseWEfDdPqqR1XTWl5kEhtORNmj6W/K8rTv3qOXDZ3tpspIiJyWijoFLFUIsXW53ZSVhHC6/OMOGdZFnXja2jb20GzenVERKRIKegUsaGBYeKxYYLlJcc97y/xkcs6xHqHznDLREREzgwFnSLm8blxe9xkUpnjns/lnEKdiIhIMVLQKWKhSGl+LE7HAMaYY873tfcTri5j7IyGs9A6ERGR009Bp4hZlsW8K+ZSWlHK4T3tpI/07Dg5h57WPoZjCeYvmUtpefAst1REROT00D2LIjd2+miu/coSnlmxlvb9nTiOAwbCVSEu/ewFnL903tluooiIyGmjoPM+MPncCYyd2cDBbc0M9g3h9XsZN6uBsorQ2W6aiIjIaaWg8z7h9XmYOm/S2W6GiIjIGaUxOiIiIlK0FHRERESkaCnoiIiISNHSGJ33kUw6w/4tzRzYeohUIk1VfQVT50+iuqHybDdNRETktFDQeZ8Y7B/i9/evZu9LB3ByDi63i2w6y4bHm7jokwuZOn8SuzftZffze0kn09RNqGHm+VMZ3zgWy7LOdvNFRETeFsscb8nc94lYLEY4HCYajVJWVna2m3PaGGP47b/+nq3P7WT0lHp8AW/heE9rH7G+QUrKSkjEEvhLfLi9buKxYbwBLwuvmcdFn1yIbesup4iIvDuczPe3enTeB9r2dbD3pYPUjqsphBzIr5xcOSrCjvW7cbldnH/tfNwuV+H8QHeMdf/9PLXjapixYMrZaLqIiMg7on+mvw+07+8iGU9RUhY45txAV5RsOgcWmCObfL6qvLoMJ+uw5dntx90rS0RE5N1OQed9wDgOWBx3rE08lsAYg8vlOm6YKasM0b6vk3QyfSaaKiIickop6LwPVI+pwuNzk4gnjzlnWZBJZQiWl+Dxeo457zgGy7awNEZHRETeg/Tt9T4wZno9Y2c00LG/i1w2d9RZC9tlE6kJH7fHJ9YbY3zjWLy+Y0OQiIjIu50GI78PuFwurvyfl/Lfwytp3tmK1+/B7XUzPJjA43Mza9E0Uok0qUS6MFjZcQzdzT0ESgPMvXjWWf4EIiIib4+CzvtE1ehK/vLvPsauTXvZ/fw+UokUNeOqmblgCpG6cp746R/Z//JBclkHl8smk8kSqQlz6V9eyPhZY85280VERN4WraPzPlhH50Rk0hkObG3m4LYWMqkMVaMrmDJvIhV1kbPdNBERkRG0jo6cNI/Xw9R5k5g6b9LZboqIiMgpo8HIIiIiUrQUdERERKRoKeiIiIhI0VLQERERkaKloCMiIiJFS0FHREREipaCjoiIiBQtBR0REREpWgo6IiIiUrQUdERERKRoKeiIiIhI0VLQERERkaKloCMiIiJFS0FHREREipaCjoiIiBQtBR0REREpWgo6IiIiUrQUdERERKRoKeiIiIhI0VLQERERkaKloCMiIiJF66SDzrPPPss111xDfX09lmXx6KOPjjhvjOHOO++kvr6eQCDAJZdcwvbt20fUpFIpvva1r1FVVUUwGOTaa6/l8OHDI2r6+/tZtmwZ4XCYcDjMsmXLGBgYGFHT3NzMNddcQzAYpKqqiptvvpl0On2yH0lERESK1EkHnXg8zty5c7n33nuPe/473/kO99xzD/feey/PP/88dXV1XHHFFQwODhZqbrnlFh555BFWrFjB2rVrGRoaYunSpeRyuULNddddx+bNm1m5ciUrV65k8+bNLFu2rHA+l8tx9dVXE4/HWbt2LStWrODhhx/m1ltvPdmPJCIiIsXKvAOAeeSRRwo/O45j6urqzN133104lkwmTTgcNvfdd58xxpiBgQHj8XjMihUrCjWtra3Gtm2zcuVKY4wxO3bsMIDZsGFDoWb9+vUGMLt27TLGGPPEE08Y27ZNa2troeahhx4yPp/PRKPR47Y3mUyaaDRaeLS0tBjgDetFRETk3ScajZ7w9/cpHaNz4MABOjo6WLx4ceGYz+fj4osvZt26dQA0NTWRyWRG1NTX19PY2FioWb9+PeFwmAULFhRqzj//fMLh8IiaxsZG6uvrCzVLliwhlUrR1NR03PYtX768cCssHA4zZsyYU/fhRURE5F3nlAadjo4OAGpra0ccr62tLZzr6OjA6/USiUTetKampuaY16+pqRlRc/T7RCIRvF5voeZot99+O9FotPBoaWl5G59SRERE3ivcp+NFLcsa8bMx5phjRzu65nj1b6fm9Xw+Hz6f703bISIiIsXjlPbo1NXVARzTo9LV1VXofamrqyOdTtPf3/+mNZ2dnce8fnd394iao9+nv7+fTCZzTE+PiIiIvD+d0qAzYcIE6urqWL16deFYOp1mzZo1LFq0CIB58+bh8XhG1LS3t7Nt27ZCzcKFC4lGo2zatKlQs3HjRqLR6Iiabdu20d7eXqhZtWoVPp+PefPmncqPJSIiIu9RJ33ramhoiL179xZ+PnDgAJs3b6aiooKxY8dyyy23cNdddzFlyhSmTJnCXXfdRUlJCddddx0A4XCYL37xi9x6661UVlZSUVHBbbfdxuzZs7n88ssBmDFjBldeeSU33HAD999/PwBf+tKXWLp0KdOmTQNg8eLFzJw5k2XLlvHd736Xvr4+brvtNm644QbKysre8YUROVED3VGGYwn8QR+R2vK3vE0rIiJnzkkHnRdeeIFLL7208PM3vvENAK6//noefPBBvvnNb5JIJLjxxhvp7+9nwYIFrFq1ilAoVHjO97//fdxuN5/+9KdJJBJcdtllPPjgg7hcrkLNL3/5S26++ebC7Kxrr712xNo9LpeLxx9/nBtvvJELLriAQCDAddddx/e+972Tvwoib0NXczfrf9/E3pcOkBpO4/V7mNA4hgVXz6Nhav1bv4CIiJx2ljHGnO1GnC2xWIxwOEw0GlUvkJyUruZuHv7Xx+k40EXV6AoCpX6Sw2l6W3uJ1JXz0ZuuYtyMhrPdTBGRonQy39/a60rkbVj32At0HuxmwuyxhKvK8Pq9lFWUMr5xLANdMdb+diOO45ztZoqIvO8p6IicpP7OAfZtPkDV6Apse+T/QpZlUTO2ipZdrbTvP3bmoIiInFkKOu9SuWyOtn0dHNp5mIHu6NlujrxOPDpMajhNoNR/3POBUj+p4RRDA8NnuGUiInK007JgoLx9xhh2rN/Dpj+8SMfBbnKZHIGQn2nzJ3HBxxcQqQmf7Sa+7/lKfLh9blKJNB6f55jz6WQGj8+DP6jFKUVEzjb16LzLbH5mG4/96Ena93VRUVdO/aQ6PF4Pz6/czCP/9gSx3sG3fhE5rapGVzBuZgPdh3s53lj+ruYe6ibUMHpy3VlonYiIvJ6CzrtIPDbMnx/ZiMtl0zB1FIGgH7fHRXl1GeNnjeHQ9hZeembb2W7m+55lWZx/9TzKKkM072wlEU8CkEqkObynDa/fw6KPnofbow5TEZGzTUHnXeTAlkP0tUepbqg85pzL7SJUUcr2tbtIpzJnoXXyeuNmjuFjN13J2JkN9Lb1c2BbM13N3dSOq2bplxcz/YNTznYTRUQEjdF5VxkeTIKVDzXHEwj6ScSTpIZTeI8zNkTOrAmzxzF2ZgOtr3QwHBvGH/TTMHWUenJERN5F9Dfyu0ig1I8xhlzOweU6trMtOZzCX+LFV6JBru8WLpeLsdNHn+1miIjIG9Ctq3eRCbPHEqkN09vad8y5XDZHrHeQWRdOf1u9OYP9Q+zdfIB9Lx9ksH/oVDRXRETkXU89Ou8ipeVBFn30g6z6+Z9o29dBZX0FHp+bof44Pa19NEyrZ+4ljSf1msnhFGt/u5Fta3cS6x0CC8oqQ8y+cAYXfPyD+NU7JCIiRUxB511m3hVz8HjdbPrDi3S19JDL5igp9TP30ll86BPnn9Q6OtlMlid++hRb/rSD8uoyxhy5xTLQFeW5hzcQ6xvkmi8v1pgSEREpWvqGO4teXYPFsqzCMcuymHvJLGYumkrbvk6y6SzhqhCV9RUj6k7E/i2H2LFuD6Mm1o5YxbdyVISSUIDt63Yz+8IZTD53wkm9bi6Xo3nHYVr3duDkHCrrK5h0znj1DomIyLuOgs4ZMjyYIJvOEgj5advXyba1OzmwrQULmDhnHLM/NIOGqfWFeo/X8453v97zwj6cnHPcrQoCpX6crMPupn0nFXRivYM88dOn2P/yITKpLFj5cFY3oZorv3CZBuaKiMi7ioLOaXb4lXZeemoL+14+SDaTY3gwwVDfEP5SP+XVYYwxbHriJbav283i6y9hzkUzT9l7x/qG8Pq9b3je6/Mw2HfiA5OzmSyP/3g1uzbtpX5yHYFgPkBl0lna9nbwux89yV/+/cepHBV5x20XERE5FTTr6jTau/kA//dfHqPpqS1Yto1xDPs2H6B1bwfJ4RTlNWVUN1QyvnEMJmf44y+fpftw7yl7/3B1Gelk6g3Pp5JpyqtCJ/x6B7e1sH/LIRqmjCqEHACP182Y6aPpbullx/o976jNIiIip5KCzmmSTqZ5+pfPEY8mmNA4lkhNmOHBBC63i8rRFfQc7qPjYDeQv/VTM66KaPcgu5/fe8raMP28ybg8buLRY3fRjkeH8XjdTDtv8gm/XsvuNjKp7HHX8bFti5KywBu23xhDT2svOzbsYefGV7Qju4iInBG6dXWaHNjaTGdzD/UTawuDiIf647g9bjweN26vm85DXdRPqsW2bSzLwuv30nGg65jXivXmA9ChHYdxcg4NU+uZvmAyFXVvfotofOMY5l4yi6ZVLxOMllBeU4YxEO2OEY8NM3/JXMbOPPFxQLlsFst+4wHRLreLzHG2pxjsH+KZFWvZ88L+QugKVZTSeOF0LvrkQg1iFhGR00ZB5zSJ9Q5iHAfP6xb3s10WxsnPtPL6PKQSabLpbGEcjZPL4fKM3P6heVcrv79/FV3NPXi8HmzbYsf6PbywajNLPn/pm/bIuFwuFl9/CZGaMC//aTtdzT1gQXlNOYs+eh7nXXUOLtfxt5s4noq6CMaAk3Owj7Nyczw6zOQPjBzYnBxO8dgPn2TPC/uobqikuqGyELbWPfo8w7EE13x58RtueyEiIu89/V1R9r50gOFYAn/Qx8Q546gaffKzh08FBZ3TxO1150OBY7CP9IJEaiN0H+7DcQxOLodt24XAkM3kcByHibPHFV5jaCDOEz95it62fsbPGoNt52uNMbTt6+QPP3uailGR424C+iqvz8MFH/sg8xbPpefIistVoyveVi/KlHkTqayP0L6/k/rJdSP+wA50x/D43MxaNG3Ec/a8sI99mw8yZvroworOlgWR2jC+Ei/b1+1m7sUzmfC6zy0iIu9Nxhg2Pv4i6x57nsHeQbDy/8AvjQSZd8UcLvrkwjP+D1uN0TlNxs8aQygSJPq6sShVoyOEIqVEe2IMDyaorI/g9rhJpzK07Gpl9JRRTJk3sVC/p2k/nQe7aJhaXwg5kB/TUz+ploHOKLs2vnJC7fGX+GiYMoqGKaPe9q2iUKSUxX91Mf5SHwe2NdN9uJe+9n4O7ThMPBpn4bXzmTR3/Ijn7N70Ci6367jbVpSEAmTTWfa+dPBttUdERN5dtj63kz/+6jkwMG7WWCY0jmXC7LF4vB7W/nYjz6/cfMbbpB6d0yRSW845lzay9pGNGAPlNWG8fi+jp9Tx0jPbSA+nOLy7jWjPIOXVZUycM46P3HA5JaEAkL/1tWXNNpLDqfztriMB2BjDcCxBNpPDOnIbq7I+QuehHowxBMsCTDpnPFWj37iX50RFe2Ik4ylKygKEIqUATDtvMmWVIbY+t4M9Tftxcg4zF01l9ofyCw8e3S05FB3G63/jvbncHhfDg4l33FYRETm7spksLzy5Gdu2qRpdUThuWRaR2jCZVIam1S8z99JZI2bunm4KOqfRhz55PpZl8dIz2zi0o4XEUJKOA114fR6qR1di2xbZTBa3x8XU+ZNIJzO07e9g67M72bF+N3ua9hPtjjE0MMyoCTUEygK07+0g2jNIcjjFYF+czWYbz/7f9ViWRVlVKeXV5VTWl/PBj3yACz72wRE9QSeqfX8nm1a+xN6XDpBJZfAFvEw9bzILrjqXqtGVjJpYy6iJtVy+7GKMY960G7KiLkLL7rbjnjPGkE1nKa8pO+k2iojIu0v34V66mnuoqCs/7vmKUeW07u2gfV8nE+ecueEKCjqnkcfr4dLPXsi5l89m18ZX+MNPn6airpxJ504gWFaCbVv0tvezc+MefvLN/2L01FH0dwyQzThMnDOWMdNHkxhMkkqk2bnxFRzHwRfw4na7SQwlSA4lMOQHOVfURkgOpRj2DROuLmPN/1lHMBzkA5fNPqk2H36lnUf/7XF62vqpHJW/1ZYYSvL84y9yeFcrf3HL0sKYINu23/Lm5/QFU9i6difx2DDBspIR56LdMQKhAFM+MPENni0iIu8VuayDk3OOmVTzKpfbhZNzyGVzZ7RdGqNzBoQipRzcfpjmXa3Eo8NsXbOjcOtn16ZXyGXyv/ihgWFivUMk40na93VSFimlrLKUXCZLKpEiPjBMoDTAUGyYZDyN5cqvXWMMZNIZwtVlxHoHiUfjeLwemlZtJpM+drr3G3Ech2f/73r6OgaY0DiWcFUZ/hIfkZow4xvH0r6/i3WPPX9Sn33yOeM559JGupp76DjYRWIoyfBggra9HUR7B/ngR85l1MTak72kIiLyLhOpKSNYHmSw9/gr7g/2DREMlxCpPfHNqU8FBZ3TLJfL8cdfPsuffv1n0sk0Xr8Xj8/NQFeUnRv2EO0ZxO11kUllad55mFwuR6giSLR3kJ7WXiZ/YCIut4vEUBIn59B9uJeh/iHcHhuPz4Mv4MXj9TA8mD/vD/rpOdxLaXmQntY+Og/1nHBbOw500bKzlZox1ceMtbFdNpX1Efa+eID+rhNf7M/ldrHk85dw5f+8lHB1GQNdUaI9MWrGVXHNlxdz0ScXnpXphiIicmoFw0FmLZpGtCdGOjnyH9nZTJae1j4mnzuByvqKN3iF00O3rk4xYwzdh3sZ6Iri9rhJJVK8sOplPD4PxhiGBoawbBvLgmw2S6o/RXo4RS7nkE1ncbK5/OafpX66WnoZM300E+eMY2ggTjqVwevz4HLbhCKl9Lb3Y1kWtssmm8qQyzl4fG4SQ0lyuXwXopNzTrjtQwNxksMp6kLHHyRWEgoQ6xtiqH+ISM2JJ3KP18OCq+dx7uVzGOgcAMuioq4ct0d//EREisnCa+fT3dLDnqb9+Pxe/KV+Uok0icEE4xvHcMlnFp3xf9zqm+YU6m3vZ81v1rFv80GGYwlsl02sd5C+jgEyqQyD/XFSw/m9p7KZLIl4Co4swGfZFi6PC9vtAgNDA8NYlk0mld/xPFDqx+v3Uje+mp7WPrwBLy63nZ99BVh2PvDksjlsl83wYILSSPANB4Udj6/Eh9vrJp3MD0A+WjqZweN1H3cLiDeTzWQ5sLWZlt1tZDNZquorCJT6CzO5RESkOATLSvjYzR9hx7rdbHl2B4N9Q1SOijD70wuZdcF0SsuDZ7xNCjqnSKx3kEf//QladrVR3VBJzZgqspkce186QG9bH2VVZQTL8uvGeANe0n1pTM6AlR/A5fLkA04yniIYLiGXdUgNp3B7XPhKQrh9HtKJYUZPqWd4MJGf9h0KEDtyLzQUCeJy2wz1x6kcFSExmGD+FXNO+A+V4zhUjiqnuqGSnsO9jJ4yasT5V3uqpsyb+KYLFB4t2hPj8R+vZv+WZnJHpsQ7jqGyPsLi6y9h2vxJJ36RRUTkXS8Q9DPvirl84PI55LI5XG7XWR2ioKBziry8ZgfNO1sZP2tMYbq123tk5LkF2XSWSG2YaHeM4ViCTCqbP2fys6ZKy/NBZbAvTnxgGNttAz4y6Sz9HVHKIkGCoQDRnhi1Y6s5uL0l/8JWvkfIAD2tfdiWje22mb5gCgs/et5btjuTzrBj3R5eXrOdvvZ+ot0xejsGSMRTjJ0xurBVRVdzD6XlJZx/9QdO+A9sLpvjiZ88xZ4X9jF6Sn2hl8jJObTv7+SJn6ymrKJUg5FFRIqQZVnviiEKZ78FRSCXzbH9z7uOhJXXptWlE2kwBrfHTTadxTiG2nHVdBzsIp1M4zgGYwwujxu324VlW5SE/AxFh7FtC8u26GrpoW5cNRd9eiGl5UE2Pt5E+4FOSiuCRLsHidSU4wt4SCczeANepp03mQ994nxmnD/lLRdkyqQzrPzZM2x+ehsut4tQJEioMkS0d5DOI20MlPpxe1yMmljLRZ9ceFJbNRzacZj9W5upnzRqxK0w22VTP7mOg9ta2LZ2l4KOiIicNgo6p0AmnSUZTx6ztYIxBl/Ai7/Ez3BsmHQyTTCcX0vGG/BinBTYFr6Al3QyjTnSu1NS6qdiVIS5l8xi6ZcXUze+Gl8g/9rTzptE275OUsMpPD43qUSaTCpLaXmQhqmjTio971i3h83PbKO6oZKSskDheOWoCM27DuPxe1ny+Uspry5jzLT6k07mrXs7yKSy+IPHjumxLIvSSJDdTfu4fNlFmnklIiKnhYLOKeDxuSkpK2GgM0q4+rVVfr1+L8HyINlsjmw2SzqVoW1fR36gMfmNP8Giekwltm3nVxn2uI4spOfn4k8vYtyMhhHv5fa4GTt99Ihjsb5B9rywn21rd2LZFmOmjWbKByYQKA3wRowxbHl2Oy6Xa0TIgVf30hpF6952fAEvExrHvq3rkp/xZd7w/RPxJF3NPfyf7/43/lI/k8+ZwORzxxdCnYiIyDuloHMKuFwu5lw0k5U/e5pMOovHm7+sr+73cXhPG9lUFieTwxiDx+sim3FwHAe3x81wLIEv4M3PlurPr4dz/tXzmLlw6lu+997NB3jyZ0/T3dqH2+3CGGhatYX6yXUs/ZsrqBtfc9znpRJpetv6CUWOP1jZ43WDYxg4iTVzjlY1ugLbto9sc/HaHzVjDC2729i5cQ8lZSXsf/kQ2UyOl5/ZzsS547jmy4sJV70WGBPxJPteOsChXa3kMjnqxtcw7bxJI2pERESOR0HnFJl90Qz2vrSfV148QKQmjDfgYaB7kFdeOkA6mSadyuJ2u3C57fzYHMfBH/QRCAXwBbyUVYbIpDJYlsWsK+bwiW8sfct9qnpae3niJ08x1B9n/Mwx2K58fTaTo2V3K7+7bxUfueFyPF434arQiJ4Sl9vGdrvIprOFY45xiHYPMjQQxzgOgwPxd3RLadI546mbUE3rKx2MmT4a27aOtLuPvS/ux+V2MWPBFKqOLB6VTmXY++IBVj7wDJ+69Rps26arpYff37eKw3vagfz4nhef2sLGx5tY/PlLNWtLRETelILOKRIsK+GjN13Fqp//ibWPbKSruZfB3kFyuRy+Eh+lfi+BUj+ZVBZjDLlsjkBpAMu2jqyO7KasMsTU8ybzgctms/Hxl3C5bcZOH0395LoRoSebyXJwewvPrPgzr7x0gElzx8Hr8ojLY1MS8rPx900c2HKIcFUZocoQcy6awbzFcwkE/Xi8HqafN4l1j71AeW2YVCLNvs0HGeiMHlm8MIPjGF58aguT5o6jZmz1SV8Tf4mPJf/zw/z+vlUc3NZMSVkA22Wze9NeMuks0xdMprI+Uqj3+jzUjq/mwNZDtO3toHpMJY/fv5qWXW2Mmf7aGCHHcWjf18kffvoUkZqyt9U2ERF5f1DQOYXSyQy9bf3ggG1b+RlVbhfD0WEs28LtdVM7vhrbZdPfGSU1nCQ5nGZoIE6sJ4avxMv+LQfZ/PRWasdU4Ql48Zf4mHreJJZ8/lKCZSUc2nmY33zvMVr3dtB5sAvjGBKDScqrywrjcjr2d7Hv5YPEYwmymRzltWEGe4d46n8/S/uBLq79ymK8fi/hmjADXTH2v7yW1HAaxxgitWFKSgIMD0L1mEq6D/fy3z98ks/+/cff1kJP42Y08NnbP872dXvY88I+EoPDBMMljG8cQ8O0eixG9hiVhAJ0Heqh42A3sb4hDu9pp+GogdC2nZ+1dWBbM9v+vIsPK+iIiMgbUNA5hTY98SL7Xj5IcjhFJpnB5NcDxLItjGOIdsfye1ZlHVKJFM6RBQMtC9w+D6lEhuRwmkwyg8fnZfI544n1DPLMr/5M274OGi+cwa+//Sj9HQP4S/0k4/lVlgOlfnrb+3FecJh87kQO7WjBtm1KSv1kM1kGe/M9RnXjqtm5fjeT5o4nk0zzzK//nJ/2bVnEYwksGzoPpglXlTF2Rn7rCcuyaN7Zyu7n9zLvirlv67pU1EX40F8s4EN/sYB4NM79t/2CdDLDwe0tpOIpPD4PFaPKCVeXYVt2oXeqbV8HTs4pjHl6PcuyCJaVsG/zQT782Q+93V/ZWdXb3k/b3vxnrBxdQf2k2re8XSkiIidHQecUGewfYtemvWQzWboP95IYSpJJZTDGFCYe5bLOawsFvurIOfO6yUnDgwkObD1IV3M3ZRWh/K7i/2c9z/1mA44x1E+qxe12Y2HR3zlAtDdGpKacaHeM5p2HSQ7nw0N/d5RkIsVAVwzLtgiWBfCX+vnzo5tIDCbw+X3MWjQtP24o5xAI+kkOp/D6PYyeUlfoRfH4POxp2ndSQSc5nKK7pQfHMVSNriBYlp9W7wv6GB5KsGvDXrwBD7bLhZNz8reqxlZRP7kWb8BL7bgq+jsH4E2GCL26yvJ7TSKe5E+//jM71u0uzMDzBryMmzWGK/7q4sKYJXnvSyVS9HdGsW2LilGRd8XiaSLvN/q/7hQZjiVIxpO07etiaCCO4ziYE/wSNubI4oKvk3McYj2D5LI5Rk+uY7BvkHQyi9vrIpfO4Xa7CYZLiEfjZFJZhgbilJQF6O8cYHgwQaK1D9vtIlJbjs/vJZfLMRxLEO0ZZKg/Tk1DFRPm5G/5GMAf9FNWGSJUWcpAZ5TetgGCZflbVW6Pi0wye3SzjyubyfL8ys289PS2fFAxhrLKEI0fmsHCa+azY91uol2DuD2u/GDsYH5qeyaVoW1vOwNdUS7+1EJGTxlFX8cAAOlkmmQ8hTGGQMiP15dffDAeHabxwukn1K53C8dxWPXgM7z0x21UjoowflYllmUxHEuw+/m9JAYTfPr/+ehZ2Q9GTp10Ms0LT77My2u2E+3O/0OjuqGSD1w+hzkXz1TPncgZpKBzivhKvDjGoX84SaquHII+cAz2wDBW/xBWJve2Xjc+MMy+zQdxeVx4/B5MzjA4EMdX4sMX8BKpLaevY4DhWIJUIo2TzeU3CyXfE9N5sJtIbZhgWQmhSCnDg930tffTMLW+MKMqWFZCZ7YLY0x+N3S3i3g0XmhDIp6kbsJbj4NxHIenf/Uc6x59AZfXRaQmjL/UT6xnkDW//jM9h3vp7Rigsj5CWWWIlj1t9HdFcXvyvTq5rAPGsOja87Btm4lzx2GM4c+PbsrvBQb4Al6qx1QSKA1QUhZg1qJpb+u6ninGGA5sa2bzM9vp2N9JLpfjwJZmGqbXj1hzqaQswLgZDRzaeZidG/Zw3pXnnsVWyzuRzWT5w3/+kZee3k6wLEDFqAhOzqHrUA+/v381sb5BPvQX52uRTJEzREHnFCmrDDHgcpEYX4NxubCMA1jkyoNY1WW493diH9Vrc6Jy2XwICJT6yTrZ/DifnIPtsiktD+L2ujj8SjupRBqX2y70JKUTadLJNEMDQ0RqyqkcHcFl2+Rsi8G+14JMVX0Fra+0E+sdwrLzG5TaLpvetj6MyY8Bmr7grdf0Obi9hVU/X0M8GsfJGQ7vaSMUye9lVTexls3PbMfJ5Rg/ayz+oI/ymjA9bb0MxxK4PW7Ka8qIR4cZHkpijOH5P7xEMp7Csm2y6fxaPEMDw/S09lPVUMFf3fFpxkwb/ZbtOluiPTF++4PHWfvbjQwNDOM6srt8KpkmMZSEDxiqRr+2QarL7cJf4mPHegWd97I9TfvZ8uxO6sZXUxJ6bTHOklC+x3Xj4y8ybf5kasdpEL3ImaCgc4rsb+6l2+PGMsBgftwFBrDAlAbITK3FSfYCBndXDjsJViqD/Va3tywK43gSQ0k8Pg+5TH6Kev4tDMPxFNl0Dm+Jl/TwUWHKQDado6etj1jfEP5SH8YxHNx+iGA4wKiJtZSUBQhXl7HnhX1k0lmM42BZFptWbqasopRPfGMpY6bVv2kz47FhfnHnrzm4vYVITZhAqR9jDAPdMaI9MSbMzq+uPNA9iGVbWJZFuCpEuCr0WlON4eD2Fozj0HGgixeefJn6SXVMmD2WnsN99HX0Y5z87SvjGIJlx1/5uaetjz3P76OzuRuv38P4WWPP+IrL8dgwv/mXx3j2NxuwLKiflN/Pq+tQD4l4koGuKK+8uJ9AKFAYvwT5XrjhwcQZa6ecejvX7wEYEXJeVV4T5sDWZvY07VfQETlDFHROkZd3tOAt8eG3LZKQDyfGYGWymKFU/seaMLmKIKbBxhXLYSUyWL2DuDsHsN4o8LzucCaZX1DQcdl0H+7BE/CRSGeJtvfjGIfssMFJZY7/Mo4hnUwRqSnDPrLx6NbndtLfOUDD1HoGOqOEIkHigwlctk2kLkxpeQk40Nc+gOM4uFyuY143l8vx4lNbWfXzZ3j5mR3ksjliffmxRWVVIcKVIYZjCVp2tVE3oQaX2yLaHcN/nL/kYz2DlJYHqRlbxfY/72Y4lqB2XDWWZTFmWv2IsNWyu43t63bTeOGMkb+HNdt5+lfPEe0ezIfCbI6m1VsYN7OBa768mIq6yNFve1rs3PAK29buxnbbRGrLsY/cpigpCxAfTJDJZIkPDNN9uJfgzNeCTmIwwbiZDW/0svIe0NfRT6D0+BvqWpaFy+Mi1hs7w60Sef9S0DkFsjmHg4d7qaoqo9VlvxZyYsOQTWO7wImUYRHC0+1AKoUTsMHnx6ooJTeuHJPsw0pmcHelcUWz+R6hI8N6rCNr8rw6aNl22UQdQyYTxRiTD1jhEmKtvSPa9erzXj+zK5lIM35mA+Mbx7L7+b207m2nq7mHdCpDaXkJ48c0MHHueAKlfmyXTXIoxf4thzi8u41xM8eMeH1jDM/+Zj3P/XYj7fu78Po9ZPIbthPtiZFJZ6kaXUEg5Kevo5/De9pw+9xs+/NOWve2M3ryKCrrK3B7XKSTaXrb+5m/ZC4VdRGGBuK43K43HMfgL/ER7R75ZXFo52FW/fxPGGOoGVvJQFcMyI872r1pLy63i8/+/cdH7DB/PMYYug/3cnh3G7lsjkhtOeMbx5zUjJnt63aRSWdwu12FkAMQCPnx+Nxkkmlyfm9+i40j1zUeGwYLZr7Lxx3JmwuWB+lu6X3D87lsjsBxentE5PRQ0DkFLADLwu1zk3Vy4LKgfxirPw4ewOvBhIJYKQcrlQHHYBlwyl1kqlyYknIytSU4vhR2bwLfwWFK1kSxh53C7S+c/Hvlt3mw8htm2ha+oB9vwEcunc2PzTGAbYFjjp31ZfKzm8bObCAUKeXcy2az58UDNO9oYdyMBspHV5CyLPa29mFZFhXlJVRVhMgkM7Tu7RgRdIaGu3nx6Rf5w8+fxUUJuUyWYHkJsd4hbNvCFfAxPJhgOJYgUOpnsC+O4+SYfM4EvF4PXc29RwZKl+d7bWyLaR+czCWfuQCAkrISstlcYYD00ZLDKUZPqRtxbOtzOxmODmOAfZsPkklm8osUYXB7XDStepkFV3+AKedOfMPfZXI4xR9/9Rw71u0uLPRou13UT6pj8V9dTMPUN7+F96rB/jhuj5skqRHHPV4PkeownYe6ScaTpJMZ4tFhYr2DpBIpPnDFXKbOe+P2ybvfjAVTeKVpP5lUBo/PM+Lc0EAcX8DLpLnjz07jRN6HFHROAZfLZuLYKh55eR/DEQtrOIu7bwjLcXB8Hkx5KXg8WNF4/haVZUEmhzWcxNVn4+RKcBubbIUbPF6SjTaOzyb0VB/WsMHk8oHF5cnPZEqlMqTSGSzHkE2kySbSOLnca7e5zBuP+zGOoa89SllFCJfLRf2EGjr2d+Iq9XOwJ0YylcXjtjEGevqGaO2IEspmC6FpKNPCnuaV7Nr1HH1dfYQvSBNvLie6LYCT9VAS8hOPJnC589Nnh6JxhgbiJIaSjJpcy8xF07Asi76OAToOdNHd0oPH7+aaLy9h6vyJhXE0k84Zz4bfvcBg3xBllaERnyGdTJPL5Jjxuk1Pc9kc+7ccIjGUpPtwL/4SH8HaEiwsDPnVozsOdLHp8RffMOgYY1j9izU0rX6ZqvoKasZUYVkWqUSaw3vaeOyHT/Lpb370hNa5qagN4/G6MY6DY8yIXp1gpITSWDA/3ijoY2ggTuXoCuZeMotzLp2ltVbe46YvmML2dbvZ++J+qkZXEqooxRzZIHegJ8a8xXPfcsybiJw6+hv1FJk5rY57H4vheNy4h1NYuRzG7wLbxrjd+VtZ5kjIscDYYAIWlmPjiubAcpErccDrxe5MkZkQIDPej3dHIh9gXBaBSJB4ziEVz6+ujM+D7bKxXx9yYOR/H8U4Dod2NBOuCuH2uOjpiuK4bPbubqO0PkKkvKTQg2IMDPQNMTSUJFgZIpbez87OX7B72zYOPmfRsS1AcsiNL5SifEqO9he9eF43eyqdzDA8kL8dEwwHaLxgemGcT1V9BVX1FfS29WO7LRqmjcL9uhWQR0+u45wPN7Lx8SZSw2kidWFs2ybaM0hfZz/TPziFaedNfu1zGUM2naGnrR+Pz4M/6MdxHBLxJMODCZxsjuRwipef3cGnUunCWjyv176/kx3rd1PdUEkoUlo47gt4GTu9gQPbmtn63E4uPdLr9GZmXTCdXZv2MjyYINYzSLgqVLiuyXgKl9tm5qKpfPr/+RiRmjChilIFnCIRCPq59sYl+b3omvbT296PZeVnZl70ifO58C8WaB0dkTNIf7OeIntd3QyXxHD3prHjWXDZWI4NabAyTv5WkmW9bjaWBb4SjMeN5VhYafBEbZwSB4MbcEiP8uPdl8RxuTBeN7FsDlc2g8nksP0eHK8LBwuMwfbZOOm3XqvHWNBzuI+1j20i5RiSiTRkHcg5DHX1M1xXQcXoCnxlATAOVjyJCflJBt0cHlxF+6HDND3gJt7hwlhZjLFJDbjIpDO4SnLE+gcpCZdQO76a/s4oFpCIp5g0dxwVteUj2uIYh3Qqzb5NB/m3r/4UJ+fgdrsI14SZ0DiGqfMmEQj52fKnHbTu7cAYQ2l5kIVL5/GhTy7EX/LaLCq3x01ZRYj4QJy6CTXkcjl62/pJDCbyl9tALpPj0PYWHv23P/CJv116zFidQzsOkxxKUTe+5pjrZtsWoUiQnet3c/GnFr7lF9WMBVOYfdFMnv/DS6QTafo6+rEsm0wqTS7rML5xDB+/eSkTZ497y9+ZvPeUVYS49itL6G3ro/twH7ZtMWpSLWUVobd+soicUgo6p8gzO7ZivdiBZ1s8P4jYkL89lXOwu6M4FaXg9UAuHypM0F/o6cGAnUjihLzYCQ/GEyCXjWOCLmgIYPdkAQdjLHKJNDZguV2F3REcwPF5cHnd5HqH3rSdJmdIJtMkXr2V8upChsaQHUrRf7CL4e4okdGV2G4XpbVh/I1j6Yrtw84cYufvcgw0Q9V4N8ayiQ9ksWxDwGdjsjmicQ9DA0OkUxmS8RSjJ9eRSWcZP3vsiLE2jnE4sOUQLbvbGI4lyGVzJOP5W3D+Ej+Hd7ex9dmdzF8yl8//f385YjuJcFXZMZ8rlUhRc2QmV3I4RWIwSTw2jC/gLdx+CpaX4PV7eenprUycO575i0duaZFNZ8mkM3S39OI4TmG1aNvOt9vj9ZBJ58hlc9jeNw86Xr+XpX9zBTVjKmla/TJtezsZjg1T1VDBuR+ezZL/eQmVo7TVQzGzLIuq0ZUj1koSkTNPQecUMMaw69FteLfHsYaOTO/25IOIyTqAwYoO41SXYdIZSBmMzwOWne9qyGQgl8W4vGA72Ckfxk5jx4awO1KYtAHHwW2Dy++Qc7sx5CivcrB9kB4C78QgXQOlYFvYvUNvOF09NZwmV+LFhAO40lk8pT6cZAYnnYVMFuOySaeyJAbiNH78PGoay+mKxzHuAZLDKdq2ZvGVWrg8FgYX3oAnv/N5ysJV4SLXYRMP+EhjCE2qZeInFjDw4gFiPYMExr425ba7uZeWPe0YY7DdLpyMQ3VDJbZtEesbIjGUZPTkOjY+8RLVY6o498Ozj/t5Yn2DvPjUFrY9t4v+rvw0+K7mHjKpDG6Pm0wqP77IG/ASLAvgK/FSWh7kpT9uYe4lM/F484NFM+kM+7Yc5ND2Ftp8HUdWiLYpqwwxcc44QpFS4tE4Y2c2nPAtpkDQz8WfWsQHrzo3v9+Ry6ZqdIVuUYmInEH6G/cUiMeGSa/pwB7KgsvC+D1YmRzGZUPOYGHhau7GSqVwKsow5SUQ9B3Z1TwLwwlylT7w5790HVzYrjJcQTeZ0QHoGcIaTOIE3ORsCNpxAqNdOF4PyT6Du9JN5WwfDZ4hdr8cYfBwGNeBrvxKzK92ohyZkJWrLiM3rhrcLhzbIusYGIjj6hzAyuVneWWrSkmZBN66FyibnsWdSOKvLmegt59sysHYWZIJsG0bX8BHNOZloNMm60AqZ7BKA3gm1lDbOIaujEPU68Y+2I2/JL+IYFdzN3s3HyARS+DyuHB73VTUleNy5XtJQuVBYn1DpJP5sLL5mW3MuWjmMbeaYr2D/PYHj3NgazNllSGqRlcyamItB7e15Kfwlvrx+DyUlOYDTjw6TPWYKqpGV9LXPkB/xwA1Y6sxxrDm1+vYt/kQvmA+jJVVlpJN5+jvjLJ7014mzBlHLusw56KZWJZFPBpnT9N+Wl9pB6B+Uh1T50867h5VgdIAgVJNJxYRORsUdE6BruYeTGsCK2MwwQBWJntkWjM4JV6sTBYrmcF1uB+7e5Dc+GpyHhfG5wbLYHwunIgX4zIYF9g5C1e/G8eUkauy8LoNeCxMPI3xuBi0y4l3OZQFUkSqDaMXWiS8WQaHS5g0bYjNyQqyvnpc+zqxY4lC1snVlZNrqMS4XViJ/LRn43FjKkMYvwfX/k7srIMdMLhcSTp74sQ21xAKRqgI2sTjOzA+P+leF4YsOBa9PUEGTRlOwItJZrEYwtvWSzaV4ZWWHiZ/cApV00bTm85xaHcr7a+0k8vmiMcS2LaFZdsk4yni0WG8Pk++J8VlY4whGU9RWR+htzW/qnOkJjzium964kUObG1m3Ot6WWYunEZyKEXL7lZy2RwVdRGymSzxWIKqhgrGTKsne9RYpt62Pjb/aTvVDZVEasrY8+J+Brpi+U1HS/10t/ZhMCz+q0uYcf4UDu9p4/c/Xk3nwe78WB0LXli1hdqxVXzkhsuOWW9IRETOHgWdU8DtcWGnDI4BK+tgpbIYnxsn4MVKZbHSOXC5MO78YoKu1j7s/ji56jKc6hDZigBOqSu/CWgSXEMWVirfGZMLlWLSSfB6yMVzkEpD1uA4OVw1FmMXZiipgYh7kLZuw4GOGnyVNvFAKY7fh6tvEFdbP1Yqg1NXDtlcvqfHmHyPEjnI5jBBP055ELt/EFcgR9Jfyb7WUtxDXiorguzfnsHvn0bJxBYyQ/nBuZ19IaJltRifB2s4hTUwCEDGsrAGh3GyOfY+tYWJ8ybiaqjEdEepHV9NSVmAw7vbsF0uXB6b7pZeBvuG8Jf4Riybn+/xys9Ue3WczKvisWG2r99DeU14xK0gf4mPWRdMZ3BgiOHoMNlMllBFiNpxVVQ3VOL2uOk53EfFqHIideUAHNjWwtBAnAmN+Z3EPT4PHQe76O8YIJdzCJb5CZWXcul1F5KMp/j9/avpau5h7PTRhV6mXM6hdU8bj//4KT73vz5x3HFEIiJy5inonAJ1E2rw+j1kBx1IH1mk7tUVib0eciVerJyDlclhZZ387O90Fqs/juV34yKA5XixLSAL1pGZVPmk45AZBntgOD87ymXhlAVwqsN0hT2Ekz2MzUYZSPnojIZJ5zz4/SniMRdgcMpKMAEvVv8QxuvGiiWwXDbGsvLr81gOlm1jsllMpBTLJMkFSiEUIBTKUFKWprTUTaJ7mIG+CgIBN66yVuLdboZC1RjbhT08jHU4BokMBH04Pg9px1Dq92A8bjp3teLqihJIZlhwyUyi3YN0NffQdagHt9dNLpvDyRni0WFKQoH8+Bq3i3BViIHuGBNmjyFUUTrimg/1x0kMJqgYdeyWDuGqEBNnj2PPi/sZ3ziGMVNf2/hzsG+IVCLNuZfNeW18zpGtNV4dLB2uKqOsKkT7/k46DnQRHU7TdqCTX/5//7dwfHzj2MKtNsivpdQwrZ6D21rYtWkvCz7ygVP7h0xERN4WLeZwCnh9XiZfMDW/Tg5gvC5yFfl1U5ygF0Il4M732ORvV1kYrws7kwXbhTWcxtWfxE4YrByvLfiXzeE61IOrK4bBwgS8GLcLuy+O+0AXTizNge4qDneUsedgFd0DQbI5iwye/OrL6RzWYALjceNUlWGObKZpjMHYNo7HhXG7MC4Lk3bA64ZwABPwEalOESzL4fPnSKaHsO0MlVVpUpafykU+4nYpWdsLQ2nMYA5S2UL7TM4hZ1mkE2lw27h9HoYOdeOyLDoPdLNj/W5Sw2ncHhe5TH4NoHQiRaxvkFQyzdBAnMiocjLpLJZtcc6HZx8zndvjc+P2uvOrHx9Hw9RRhCtDxHqGOLTjMG17OziwrZlY3yDnL53HuR9uLNSWRoJYVn7RQchvlNqyq429Lx1kaGAYMATDJfR1RPnTr9fRc2Tl6KPlxyx5Obit+Z3/oRIRkVNCPTqnyCV/cT5b/7AFE/CSG1sNLhuaeyBn8sHF58FYFvZAPH/bKJvBcrkhk8YK+LFSR0KPbeO4LfDYkMnhRII4QR/2UCK/Mzqu/No7gwncbb1ky0ezo3VUfoEc8rejLMcBdw6sI2ORE2mc8hLAwkSCOIF8Twv2kV6drIOFwcokCYYN9tgMo2b0559vuzCOBf4ctsvgzpYwSABXjRdPPItDfq0gbDs/ff5VxpBMZbDTWTJ+DyaTg0yOg9tbsG2bqvoKguES+jsGSCUtMuksyaEkXc09VNSW4/G6cXIOl3xmETMWTDnmekdqyxk7YzS7Nu49ElRGBo9YzxBzLprJRZ9ayKEdLcSjCSK1YaadN5mxM0aPCE6TzhlPxagInYd6qJ9USzw6zOHdrXh9bjw+D0P9ccZMrad+Uh1dzd10NffQ3zFAZf1rvUmpRJrkUJLEYIL0G2ysKiIiZ56Cziky0NwHLotcXTlOpBSTSEF1GWQyWMkji/L5PJigDyuewk7lgBz09uPCj2VbZCfXY9lgp5x8AIklMG4bK1yCY1vY0eHCvlqmxIuJZ8jGMpiyALZlcNkOBptsDvC6cMoCWOkspLP53qSgj5zXPnKbJj8tPh9QLFxeQzBgUzHKQ9aVxXbn8r0/WJisG8udBdtgu7MM9Xhwjuyr5Q0aMgn7SM4yhb2lwMJYFslkhlx0mIAxpIYSJIeSBEr9DHRHsWybilH5wcID3TFcbhczF0yh8UMzqKyvYOq8idSMrTpu74llWZx35bm07G6j9ZUOasZV4T2yW3lvWz/pdIZLll7AnItmMueimW/6uwuWlXDpX17IH376FAe3t5CMJxkezLczOTxEdUMVNWPza/RUN1TSvr+TrpYeKusjpFMZWna30t3SSzqRJh4dBpfNi09t4ZwPN2oFXBGRs0xB5xRIJVIc2N5MLlJKbkx1flNPrxsn4INcDiuVwdUxkB/0G/BCJguZ/O0pT38Ky2eTrSnLT0138svr2FknfwfLMZhsDqvEB/EUZLOAheVxYRJprEwWU9jzwcJNjmzGyvcoedyYgC//Gl43ODkslw022OTyG4seeS1fSQI3aQajbrxlDk6OI7OiHGw7hbEMxoFM2oPfHiJclmYwWQaZFHaZG8dj5z+fx/XaRpxuFxYGv4GKcAkD7QMkhpLEB+LYrvwYIsu2cbltqsdUUTu2iglzxvGxm646oes+oXEs13x5MWv+zzo6DnTmNzq1LCI1YS761ELmXTHnhH+HsxZNI1Dqp+mpLaz97QacnIOvxMuY6aOpn1SL25MfdFx5ZDf27uYeJp8znt3P76WntQ9/0AdWflq6223z+E+eYiga56JPLDzhNoiIyKn3ng86P/zhD/nud79Le3s7s2bN4l//9V/50Ic+dEbbkBpOs3NfJ7nxNeBxQTyV79jI5SCZyd/Oqotgt/WCZWOZI1uRe9xYKYMxaUykFMxrO6Hnl0s+Mig5d6Q3yOs+Mq7HYJscjmVhXDYW4LJz2EA6eWQQtMk/3ynxYrnyvTju+BCmNIRjXBjLhWPA5Tb4Amm83iwl3iQ524ttO0R7QpRXDmFZBsvjYDkW8agPk4W60X3Ec1l6YpUkh3143CmyVT5y7QnIOVh+D9gWbreNN5UhEPAyemIt3Qe7sSxwedxHNgm1jgxEdghVlGK7XHj9nuNf5Dcwdd4kxjeO5dD2Fgb74/hLvIybNYZgWclJ/x4nzhnHhNlj8QU8bPh9E1POnXjM2j2BoJ+asdXEY8NsfW4nXS29lJQFSMVT+II+Jp8zgeqGSvo6Bnj+Dy8x8/ypWhlXROQsek8HnV//+tfccsst/PCHP+SCCy7g/vvv56qrrmLHjh2MHTv2jLXDH/TRm0hjSgOQzY+NwZAfgOwDkmmM3wtuN9ZwCoyFbbvzO3s6mfwMqKM3mXy1RySRzt9eOnJb6NV9m0hkMH4vJuTH78oQsJMMDvtxzJHVlh2T32/L58GTzeFkM9iWwXHAQwbjWLi8NiURB5c3SSbjxh8yJJIwekwfHYer6OuoxOuL4y7JkowHyCbcNIxvp6qyH9MVYPz4w7S0NZDK+jGjSjAZD1Z0GJJpLJcLj2NwB31UzhzDUE9+XZpUIk3VmEpyqSwGjuzwbejvHMDtcTP53Aknff29Pg9TPnD8HclPlmVZzFo0na3P7iSdzBAoHRl0MuksJaEAH/nry3ju/24gHhsmVFFKeU2Y6obKQsCK1IY5sLWZfZsPKuiIiJxF7+mgc8899/DFL36Rv/7rvwbgX//1X3nyySf50Y9+xPLly4+pT6VSpFKpws+xWOyUtMPr95It8UEqk5+67XblAw/ke3jcNrhd5EZX4OqOYXXk17Ehm8NYFoRK8lO8X52WfuRWlFPiw05n8re6vO78IGNjYDiN44DTEAbLJpvMEB22cZws+Nz521a2DbaFP5OlLJ5isNybv4WFhe1y4Suz8IVsnFwW4+TH7Fhu8Lhh0pQBxo7O0NIcpqPNhRn2EA7HqRkfpWFyJ+nuIOWVZdieYQKePTiVIfbvmcKAXY0znMaTzuL2uIiUBTDlQcpDAbpeaae0ohTTO0RqKElZRaiwW3k6naG7uYdJc8czdf6kU/I7eSfGzxrD9POnsGXNDqrqKyirzG/EGI8O09XczcS54znvynPZsmYHM8unUXmcKe6vTlePxxJnuvkiIvI679mgk06naWpq4u///u9HHF+8eDHr1q077nOWL1/OP/7jP56W9tgl+T2jiCcx5cFC2LEgH2C8+Q08jcvGREpxMjnszJF7VVVh7KxDzu3K33HKgXFb4LVxIqVYqXR+Qb7uKJYxGI8HpyaEEymFdJacZUHAxoo7mEQ6H3QCPtypLFWdUUpcFo7PJjA+QMZnMRR34Q/lO42yKcjioaQ0SSrloaI0RziSwArlqKwaIjqln6FOL+Eagz+cxsnZpKP+/G7eYS+l9b3E4m5sd5jScg8Jnwef30sk4MVtWbhsi3K3i05jcLJOfryL1020K5YfU0N+YcBgWQkXfOyDb+uW06nmcrv4yBcvwx/0s2vDHg5ubwEgUOpn9odmcNn/uIiSUIBQRSkd+7uO+xrGGIwxBEr9xz0vIiJnxns26PT09JDL5aitrR1xvLa2lo6OjuM+5/bbb+cb3/hG4edYLMaYMadmuf7a8dUc3teJFR3Oz1Yq9YPXXRgmjDG4uqJggSn15wcYRxPg92N5PNiJDAaD8eb3oDKWAeOAz4Vx+8FksCaWYLKQs0ryt8G6Y/lAVebH5fVjSgy5TBZc+TV6KruilLnzIaKqoYz+6mHcPg/p1hzxIQuP15DJuHEcB0KGkpIM08ZnIVEKoQFsy8E1aJHucTEMeMsyOGkbTyiJJ5Qincwy2FqKK3M5gdIQ3oCDp3coP44IwILJ5UEiPje2yyaTytAwZRRVDVVEe2IM9ceBI4OeXTYTZp+5241vJVAa4Oq/vpwFH/kAHfs7cRxD9ZhK6sbXFGaBNV44g0PbD5NJZfD4Ro4tGuiOUVpewqRzxp+F1ouIyKves0HnVUdPPS7M+DkOn8+Hz+c7Le34+KcWcu93H4OAF3soCYk0xufB2PneHCuRwu6JYVl2/pjLJlsRxFSXYWcMdjKLFU9gXEDIhxVwY3scXM4gdCTz4ag0AEkbV9zBauvBbu/HGlVBKNJAxuUiYxlsn4cyl0VtPEWovoJIXTkzzp/CB5Y08uSOX7NlW4yqihL6+nMMD+djWDCQYHTtIJPHGKqrhzEZH8TLyOUyWGmoaLCJd9ns+q8qUn1e/FX5W2/DHT7Gjfkgf/udG9h9oIuXtrfwyu5Wmne24okNMzZcQkkiTUdbH75AfgxSqKIU287PjIrUhMllcxzaeZhZF0ynbnzNafndvBNV9RVU1Vcc99zMhVPZtXEPe186QEVdhLLKELmcQ197P8l4kgs+/kGqGzQ+R0TkbHrPBp2qqipcLtcxvTddXV3H9PKcCR//yDz+8PhL7N3Rkt9qIZ3N35Y6cgvLANmJNVhpJ99TM5TA6h3AbuvFBqycgyvr4LEsiIBnjAvLY7B9Bu8H3KR3Rklt8WBSFlYyg8e2qBxfw5XLLiZYVUZfIkVVQyWN8ycybkwVA11RUsNpguGSwhiTT476BJOm/JoDzb1k0j5MzkWwbJBkfx/9L/hIr5lFfLwNdoqBtjTDfVnmf3QiJeUB1q3eQ3L/ILlsjujhHG6PmykfmMgn/nYp/oCXuTMbmD19NIlkms5D3ezZsIc9L+zDyeUYO2M0V1x/CQe2HGLXpldwezz5mUqJNInBBGNnjObDn73wDQPqu1VJKMC1X72S5x7ewO5Ne2ne3Yp9ZG2giz55PvOXnPOe+0wiIsXGMsaYty57d1qwYAHz5s3jhz/8YeHYzJkz+ehHP3rcwchHi8VihMNhotEoZWXvfBPGRCLFPy1/mA1rdpHL5LCsLDgpbK/Bsg25rJuMx02mzIfLgUBPAn88TUkoQGVdhFmzxzOxLsKOTXsZiEepnhRh/pVzmTJ+ImseWs8LKzcT64vj83uYdt4kLv+rS5h+3uSTamMq10dfcit9yW04JkPQM5qgmc72lQNse24Xg31DWJZFxagI5364kflLzsF22Rze08bOja/Qsb8Lj9/NlA9MYtp5kwhFSt/wvTLpDE7Owev3YlkWqUSKHev3sG3tTvo7o0fGvMxk5qKplFWE3unlP6v6u6L0tffjcruom1CDv+T09ByKiMjJfX+/p4POr3/9a5YtW8Z9993HwoUL+fGPf8xPfvITtm/fzrhx497y+ac66BRedyjBpvV7GOiOMnVKDfWNVXQ392Gi+UX3cj43/rIAdaMqGB5OYQOVkVJcLtebvm5fRz+D/XG8fg81Y6vesv5kxWPD9Lb1Y9sW1WMq8QVO35d1LpfDtm31eIiIyEk7me/v9+ytK4DPfOYz9Pb28k//9E+0t7fT2NjIE088cUIh53QqKw1w+RVzRxyrmlZ1/NqSE5+VU1EXoaLu2KnMp0qwrOSMzXo61SFNRETkeN7TPTrv1Onq0REREZHT52S+v7XjoIiIiBQtBR0REREpWgo6IiIiUrQUdERERKRoKeiIiIhI0VLQERERkaKloCMiIiJFS0FHREREitZ7emXkd+rVtRJjsdhZbomIiIicqFe/t09kzeP3ddAZHBwEYMyYMWe5JSIiInKyBgcHCYfDb1rzvt4CwnEc2traCIVCp3RzyVgsxpgxY2hpadHWEm9B1+rE6DqdGF2nE6PrdGJ0nU7M2bhOxhgGBwepr6/Htt98FM77ukfHtm0aGhpO2+uXlZXpf44TpGt1YnSdToyu04nRdToxuk4n5kxfp7fqyXmVBiOLiIhI0VLQERERkaKloHMa+Hw+7rjjDnw+39luyruertWJ0XU6MbpOJ0bX6cToOp2Yd/t1el8PRhYREZHiph4dERERKVoKOiIiIlK0FHRERESkaCnoiIiISNFS0BEREZGipaBzGvzwhz9kwoQJ+P1+5s2bx3PPPXe2m3TKPPvss1xzzTXU19djWRaPPvroiPPGGO68807q6+sJBAJccsklbN++fURNKpXia1/7GlVVVQSDQa699loOHz48oqa/v59ly5YRDocJh8MsW7aMgYGBETXNzc1cc801BINBqqqquPnmm0mn06fjY5+U5cuXc9555xEKhaipqeFjH/sYu3fvHlGj65T3ox/9iDlz5hRWVF24cCF/+MMfCud1nY61fPlyLMvilltuKRzTdcq78847sSxrxKOurq5wXtfpNa2trfyP//E/qKyspKSkhHPOOYempqbC+aK6VkZOqRUrVhiPx2N+8pOfmB07dpivf/3rJhgMmkOHDp3tpp0STzzxhPl//9//1zz88MMGMI888siI83fffbcJhULm4YcfNlu3bjWf+cxnzKhRo0wsFivUfPnLXzajR482q1evNi+++KK59NJLzdy5c002my3UXHnllaaxsdGsW7fOrFu3zjQ2NpqlS5cWzmezWdPY2GguvfRS8+KLL5rVq1eb+vp6c9NNN532a/BWlixZYh544AGzbds2s3nzZnP11VebsWPHmqGhoUKNrlPeY489Zh5//HGze/dus3v3bvMP//APxuPxmG3bthljdJ2OtmnTJjN+/HgzZ84c8/Wvf71wXNcp74477jCzZs0y7e3thUdXV1fhvK5TXl9fnxk3bpz5/Oc/bzZu3GgOHDhgnnrqKbN3795CTTFdKwWdU+yDH/yg+fKXvzzi2PTp083f//3fn6UWnT5HBx3HcUxdXZ25++67C8eSyaQJh8PmvvvuM8YYMzAwYDwej1mxYkWhprW11di2bVauXGmMMWbHjh0GMBs2bCjUrF+/3gBm165dxph84LJt27S2thZqHnroIePz+Uw0Gj0tn/ft6urqMoBZs2aNMUbX6a1EIhHz05/+VNfpKIODg2bKlClm9erV5uKLLy4EHV2n19xxxx1m7ty5xz2n6/Sav/u7vzMXXnjhG54vtmulW1enUDqdpqmpicWLF484vnjxYtatW3eWWnXmHDhwgI6OjhGf3+fzcfHFFxc+f1NTE5lMZkRNfX09jY2NhZr169cTDodZsGBBoeb8888nHA6PqGlsbKS+vr5Qs2TJElKp1Iju13eDaDQKQEVFBaDr9EZyuRwrVqwgHo+zcOFCXaejfPWrX+Xqq6/m8ssvH3Fc12mkV155hfr6eiZMmMBf/uVfsn//fkDX6fUee+wx5s+fz6c+9Slqamo499xz+clPflI4X2zXSkHnFOrp6SGXy1FbWzvieG1tLR0dHWepVWfOq5/xzT5/R0cHXq+XSCTypjU1NTXHvH5NTc2ImqPfJxKJ4PV631XX2hjDN77xDS688EIaGxsBXaejbd26ldLSUnw+H1/+8pd55JFHmDlzpq7T66xYsYKmpiaWL19+zDldp9csWLCAX/ziFzz55JP85Cc/oaOjg0WLFtHb26vr9Dr79+/nRz/6EVOmTOHJJ5/ky1/+MjfffDO/+MUvgOL7M+U+Ja8iI1iWNeJnY8wxx4rZ2/n8R9ccr/7t1JxtN910E1u2bGHt2rXHnNN1yps2bRqbN29mYGCAhx9+mOuvv541a9YUzr/fr1NLSwtf//rXWbVqFX6//w3r3u/XCeCqq64q/Pfs2bNZuHAhkyZN4uc//znnn38+oOsE4DgO8+fP56677gLg3HPPZfv27fzoRz/ir/7qrwp1xXKt1KNzClVVVeFyuY5JoV1dXcck1mL06uyGN/v8dXV1pNNp+vv737Sms7PzmNfv7u4eUXP0+/T395PJZN411/prX/sajz32GM888wwNDQ2F47pOI3m9XiZPnsz8+fNZvnw5c+fO5Qc/+IGu0xFNTU10dXUxb9483G43brebNWvW8G//9m+43e5C+97v1+l4gsEgs2fP5pVXXtGfp9cZNWoUM2fOHHFsxowZNDc3A8X3d5SCzink9XqZN28eq1evHnF89erVLFq06Cy16syZMGECdXV1Iz5/Op1mzZo1hc8/b948PB7PiJr29na2bdtWqFm4cCHRaJRNmzYVajZu3Eg0Gh1Rs23bNtrb2ws1q1atwufzMW/evNP6Od+KMYabbrqJ3/72tzz99NNMmDBhxHldpzdnjCGVSuk6HXHZZZexdetWNm/eXHjMnz+fz33uc2zevJmJEyfqOr2BVCrFzp07GTVqlP48vc4FF1xwzJIXe/bsYdy4cUAR/h11SoY0S8Gr08v/8z//0+zYscPccsstJhgMmoMHD57tpp0Sg4OD5qWXXjIvvfSSAcw999xjXnrppcL0+bvvvtuEw2Hz29/+1mzdutV89rOfPe6UxIaGBvPUU0+ZF1980Xz4wx8+7pTEOXPmmPXr15v169eb2bNnH3dK4mWXXWZefPFF89RTT5mGhoZ3xfTNr3zlKyYcDps//elPI6a5Dg8PF2p0nfJuv/128+yzz5oDBw6YLVu2mH/4h38wtm2bVatWGWN0nd7I62ddGaPr9Kpbb73V/OlPfzL79+83GzZsMEuXLjWhUKjw96+uU96mTZuM2+02//zP/2xeeeUV88tf/tKUlJSY//2//3ehppiulYLOafAf//EfZty4ccbr9ZoPfOADhWnFxeCZZ54xwDGP66+/3hiTn5Z4xx13mLq6OuPz+cxFF11ktm7dOuI1EomEuemmm0xFRYUJBAJm6dKlprm5eURNb2+v+dznPmdCoZAJhULmc5/7nOnv7x9Rc+jQIXP11VebQCBgKioqzE033WSSyeTp/Pgn5HjXBzAPPPBAoUbXKe8LX/hC4f+V6upqc9lllxVCjjG6Tm/k6KCj65T36lovHo/H1NfXm7/4i78w27dvL5zXdXrN7373O9PY2Gh8Pp+ZPn26+fGPfzzifDFdK8sYY05N35CIiIjIu4vG6IiIiEjRUtARERGRoqWgIyIiIkVLQUdERESKloKOiIiIFC0FHRERESlaCjoiIiJStBR0REREpGgp6IiIiEjRUtARERGRoqWgIyIiIkXr/wcpmsyieAXcIgAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "X=customers[\"Frozen\"]\n",
+    "y=customers[\"Delicassen\"]\n",
+    "\n",
+    "plt.scatter(X,y, c=customers['labels'], alpha= 0.5)\n",
+    "plt.title(\"KMeans\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.scatter(X,y, c=customers['labels_DBSCAN'], alpha= 0.5)\n",
+    "plt.title(\"DBSCAN\")\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here:"
+    "#Neither model presented a good cluster separation"
    ]
   },
   {
@@ -282,11 +816,338 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "      <th>labels_DBSCAN</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>labels</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.003367</td>\n",
+       "      <td>2.505051</td>\n",
+       "      <td>13075.898990</td>\n",
+       "      <td>3218.737374</td>\n",
+       "      <td>3855.696970</td>\n",
+       "      <td>3620.400673</td>\n",
+       "      <td>776.875421</td>\n",
+       "      <td>1242.249158</td>\n",
+       "      <td>0.646465</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.623077</td>\n",
+       "      <td>8165.915385</td>\n",
+       "      <td>8748.515385</td>\n",
+       "      <td>13905.492308</td>\n",
+       "      <td>1441.630769</td>\n",
+       "      <td>5991.146154</td>\n",
+       "      <td>1535.007692</td>\n",
+       "      <td>-0.538462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.846154</td>\n",
+       "      <td>2.615385</td>\n",
+       "      <td>25770.769231</td>\n",
+       "      <td>35160.384615</td>\n",
+       "      <td>41977.384615</td>\n",
+       "      <td>6844.538462</td>\n",
+       "      <td>19867.384615</td>\n",
+       "      <td>7880.307692</td>\n",
+       "      <td>-1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Channel    Region         Fresh          Milk       Grocery  \\\n",
+       "            mean      mean          mean          mean          mean   \n",
+       "labels                                                                 \n",
+       "0       1.003367  2.505051  13075.898990   3218.737374   3855.696970   \n",
+       "1       2.000000  2.623077   8165.915385   8748.515385  13905.492308   \n",
+       "2       1.846154  2.615385  25770.769231  35160.384615  41977.384615   \n",
+       "\n",
+       "             Frozen Detergents_Paper   Delicassen labels_DBSCAN  \n",
+       "               mean             mean         mean          mean  \n",
+       "labels                                                           \n",
+       "0       3620.400673       776.875421  1242.249158      0.646465  \n",
+       "1       1441.630769      5991.146154  1535.007692     -0.538462  \n",
+       "2       6844.538462     19867.384615  7880.307692     -1.000000  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr th {\n",
+       "        text-align: left;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead tr:last-of-type th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "      <th>labels</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th></th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "      <th>mean</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>labels_DBSCAN</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>-1</th>\n",
+       "      <td>1.490196</td>\n",
+       "      <td>2.45098</td>\n",
+       "      <td>13729.564706</td>\n",
+       "      <td>8359.886275</td>\n",
+       "      <td>11484.364706</td>\n",
+       "      <td>3795.003922</td>\n",
+       "      <td>4356.800000</td>\n",
+       "      <td>2080.470588</td>\n",
+       "      <td>0.545098</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>11401.000000</td>\n",
+       "      <td>3536.200000</td>\n",
+       "      <td>6729.000000</td>\n",
+       "      <td>720.200000</td>\n",
+       "      <td>3561.000000</td>\n",
+       "      <td>258.200000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>9128.823077</td>\n",
+       "      <td>1862.438462</td>\n",
+       "      <td>2423.530769</td>\n",
+       "      <td>2131.430769</td>\n",
+       "      <td>496.576923</td>\n",
+       "      <td>741.946154</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>41446.600000</td>\n",
+       "      <td>1421.200000</td>\n",
+       "      <td>2167.600000</td>\n",
+       "      <td>1276.400000</td>\n",
+       "      <td>416.200000</td>\n",
+       "      <td>784.800000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>2357.200000</td>\n",
+       "      <td>10224.800000</td>\n",
+       "      <td>11862.800000</td>\n",
+       "      <td>609.600000</td>\n",
+       "      <td>5780.000000</td>\n",
+       "      <td>572.800000</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>3068.142857</td>\n",
+       "      <td>6095.857143</td>\n",
+       "      <td>10355.000000</td>\n",
+       "      <td>994.000000</td>\n",
+       "      <td>4675.571429</td>\n",
+       "      <td>1826.428571</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>9837.863636</td>\n",
+       "      <td>1751.863636</td>\n",
+       "      <td>2161.681818</td>\n",
+       "      <td>1513.181818</td>\n",
+       "      <td>333.954545</td>\n",
+       "      <td>669.045455</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>6823.000000</td>\n",
+       "      <td>1943.000000</td>\n",
+       "      <td>2372.666667</td>\n",
+       "      <td>6780.333333</td>\n",
+       "      <td>386.500000</td>\n",
+       "      <td>613.666667</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>2.00000</td>\n",
+       "      <td>7494.600000</td>\n",
+       "      <td>1537.600000</td>\n",
+       "      <td>3383.000000</td>\n",
+       "      <td>2575.400000</td>\n",
+       "      <td>227.400000</td>\n",
+       "      <td>941.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Channel   Region         Fresh          Milk       Grocery  \\\n",
+       "                   mean     mean          mean          mean          mean   \n",
+       "labels_DBSCAN                                                                \n",
+       "-1             1.490196  2.45098  13729.564706   8359.886275  11484.364706   \n",
+       " 0             2.000000  3.00000  11401.000000   3536.200000   6729.000000   \n",
+       " 1             1.000000  3.00000   9128.823077   1862.438462   2423.530769   \n",
+       " 2             1.000000  3.00000  41446.600000   1421.200000   2167.600000   \n",
+       " 3             2.000000  3.00000   2357.200000  10224.800000  11862.800000   \n",
+       " 4             2.000000  3.00000   3068.142857   6095.857143  10355.000000   \n",
+       " 5             1.000000  1.00000   9837.863636   1751.863636   2161.681818   \n",
+       " 6             1.000000  1.00000   6823.000000   1943.000000   2372.666667   \n",
+       " 7             1.000000  2.00000   7494.600000   1537.600000   3383.000000   \n",
+       "\n",
+       "                    Frozen Detergents_Paper   Delicassen    labels  \n",
+       "                      mean             mean         mean      mean  \n",
+       "labels_DBSCAN                                                       \n",
+       "-1             3795.003922      4356.800000  2080.470588  0.545098  \n",
+       " 0              720.200000      3561.000000   258.200000  1.000000  \n",
+       " 1             2131.430769       496.576923   741.946154  0.000000  \n",
+       " 2             1276.400000       416.200000   784.800000  0.000000  \n",
+       " 3              609.600000      5780.000000   572.800000  1.000000  \n",
+       " 4              994.000000      4675.571429  1826.428571  1.000000  \n",
+       " 5             1513.181818       333.954545   669.045455  0.000000  \n",
+       " 6             6780.333333       386.500000   613.666667  0.000000  \n",
+       " 7             2575.400000       227.400000   941.000000  0.000000  "
+      ]
+     },
+     "execution_count": 33,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "display(customers.groupby([\"labels\"]).agg({\"mean\"}))\n",
+    "customers.groupby([ \"labels_DBSCAN\"]).agg({\"mean\"})\n"
    ]
   },
   {
@@ -302,7 +1163,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your observations here"
+    "#K-means seems to perform better since the means are far from each other creating more specific clusters."
    ]
   },
   {
@@ -364,7 +1225,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -378,7 +1239,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.9.13"
   }
  },
  "nbformat": 4,