diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 9a2d1ae..40310ac 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -12,9 +12,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "<frozen importlib._bootstrap>:241: RuntimeWarning: scipy._lib.messagestream.MessageStream size changed, may indicate binary incompatibility. Expected 56 from C header, got 64 from PyObject\n"
+     ]
+    }
+   ],
    "source": [
     "# Import your libraries:\n",
     "\n",
@@ -22,7 +30,8 @@
     "\n",
     "import matplotlib.pyplot as plt\n",
     "import numpy as np\n",
-    "import pandas as pd"
+    "import pandas as pd\n",
+    "import seaborn as sns"
    ]
   },
   {
@@ -38,7 +47,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,20 +76,490 @@
   },
   {
    "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>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": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "customers.head()\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Index(['Channel', 'Region', 'Fresh', 'Milk', 'Grocery', 'Frozen',\n",
+       "       'Detergents_Paper', 'Delicassen'],\n",
+       "      dtype='object')"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your observations here"
+    "customers.columns"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "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": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.dtypes"
+   ]
+  },
+  {
+   "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.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x576 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "customers_heat = customers[['Channel', 'Region', 'Fresh', 'Milk', 'Grocery', 'Frozen',\n",
+    "       'Detergents_Paper', 'Delicassen']]\n",
+    "\n",
+    "corr = customers_heat.corr()\n",
+    "sns.set(rc = {'figure.figsize':(15,8)})\n",
+    "matrix = np.triu(corr)\n",
+    "cmap = sns.diverging_palette(220, 10, as_cmap=True)\n",
+    "sns.heatmap(corr, cbar=True, annot=True, mask=matrix, cmap=cmap)\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 12,
+   "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>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": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.describe()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 1080x576 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "for col in customers.columns:\n",
+    "    plt.figure()\n",
+    "    plt.hist(customers[col], bins= 10)\n",
+    "    plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "The columns are categories of grocery shopping ('Fresh', 'Milk', 'Grocery', 'Frozen', 'Detergents_Paper' and 'Delicassen') in relation to region and channel. I'm not sure about channel (is it way of payment?)\n",
+    "\n",
+    "No categorical data to convert.\n",
+    "\n",
+    "No missing data.\n",
+    "\n",
+    "There's high correlation between the cols Grocery and Detergents_paper, milk and channel and between Detergents_paper and milk and channel as seen in the heatmap.\n",
+    "\n",
+    "There's a positive skewdness in cols 'Fresh', 'Milk', 'Grocery', 'Frozen', 'Detergents_Paper' and 'Delicassen' and some outliers in all of them."
    ]
   },
   {
@@ -127,7 +606,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -135,7 +614,8 @@
     "\n",
     "from sklearn.preprocessing import StandardScaler\n",
     "\n",
-    "# Your code here:\n"
+    "scaler = StandardScaler()\n",
+    "customers_scale = scaler.fit_transform(customers)\n"
    ]
   },
   {
@@ -149,13 +629,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "metadata": {
     "scrolled": true
    },
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "from sklearn.cluster import KMeans\n",
+    "\n",
+    "kmeans = KMeans()\n",
+    "kmeans.fit(customers_scale)\n",
+    "customers['labels'] = kmeans.labels_\n",
+    "\n"
    ]
   },
   {
@@ -167,11 +652,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    201\n",
+       "5     92\n",
+       "2     61\n",
+       "6     41\n",
+       "1     37\n",
+       "4      5\n",
+       "7      2\n",
+       "3      1\n",
+       "Name: labels, dtype: int64"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "customers['labels'].value_counts()\n"
    ]
   },
   {
@@ -185,13 +689,17 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {
     "scrolled": true
    },
    "outputs": [],
    "source": [
-    "# Your code here\n"
+    "from sklearn.cluster import DBSCAN\n",
+    "\n",
+    "dbs = DBSCAN(eps=.5)\n",
+    "model = dbs.fit(customers_scale)\n",
+    "customers['labels_DBSCAN'] = model.labels_\n"
    ]
   },
   {
@@ -203,11 +711,164 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "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": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers['labels_DBSCAN'].value_counts()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "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",
+       "      <th>labels</th>\n",
+       "      <th>labels_DBSCAN</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",
+       "      <td>5</td>\n",
+       "      <td>-1</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",
+       "      <td>5</td>\n",
+       "      <td>-1</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",
+       "      <td>5</td>\n",
+       "      <td>-1</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",
+       "      <td>0</td>\n",
+       "      <td>1</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",
+       "      <td>5</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Channel  Region  Fresh  Milk  Grocery  Frozen  Detergents_Paper  \\\n",
+       "0        2       3  12669  9656     7561     214              2674   \n",
+       "1        2       3   7057  9810     9568    1762              3293   \n",
+       "2        2       3   6353  8808     7684    2405              3516   \n",
+       "3        1       3  13265  1196     4221    6404               507   \n",
+       "4        2       3  22615  5410     7198    3915              1777   \n",
+       "\n",
+       "   Delicassen  labels  labels_DBSCAN  \n",
+       "0        1338       5             -1  \n",
+       "1        1776       5             -1  \n",
+       "2        7844       5             -1  \n",
+       "3        1788       0              1  \n",
+       "4        5185       5             -1  "
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "customers.head()"
    ]
   },
   {
@@ -234,11 +895,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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iJZPgZ83vkLBzAIRNH7dNuphJ4dIR24Z0HwkhxAUg7zr8+MBbOMqlJhilJhhF0zR+fOAt0k5hxLYjRUEIIS4AB1J9ZNwCMStQbIuYPvKew95kz4htR4qCEEJcAAqey3EnJVIaedcdse1IURBCiAtAfSiGpmm4yiu2ecoDFBPDJSO2HbnQLIQQF4AKf4glVVP4Q8d+fLqBBuQ9h0XxiVQHzm6xsQ+ToiCEEBeIJdVTmBIt593+djylmFtSzZRI2WmvWHkyUhSEEOICoWkak8KlI3oL6keN62sKqVyejmSKnO2MdhQhhBgTxuWZguN6/G7vPt7r7iaXt9HRuHbqJBZNmjCip2FCCHGhGZdnChsPHuL1Q0eoioapjoQpDfr57Z59vNfRNdrRhBBiVI27ouB6Hq8fPkJVJIxxdM4QyzAoDQR49dDhUU4nhBCja/wVBaUoOO4xk0j5TINUfuSGigshxIVo3BUFS9epL4mSyOWHtPdncsyorBilVEIIMTaMu6KgaRo3zJyO7Xl0JJIkc3k6kmmCPotFkyeMdjwhhBhV4/Luo7qSGP/misvYn+pnX2s39SUxFtTXEvX7RzuaEEKMqnFZFAAqwiFmT66mq7putKMIIcSYMe66j4QQQpyYFAUhhBBFUhSEEEIUSVEQQghRJEVBCCFEkRQFIYQQRVIUhBBCFA27KPzDP/wDq1evBmDHjh3ceuutLFu2jK9//es4zuB6BK2trdx1110sX76cL33pS6TTaQASiQT33HMPK1as4K677qKra3A20kKhwL333suKFSv47Gc/y759+0Z6/4QQQpyGYRWFTZs28atf/ar487333ssDDzzAc889h1KKJ598EoCHHnqIO++8k/Xr1zNv3jwef/xxAB577DEaGxt59tlnuf3223n44YcB+MEPfkAwGOTZZ5/lvvvuKxYdIYQQo+OURaG/v59HH32UL37xiwC0tLSQy+VYsGABALfccgvr16/Htm02b97MsmXLhrQDbNiwgaamJgBWrVrFSy+9hG3bbNiwgZtuugmAyy+/nL6+PlpbW0d8J4UQQgzPKYvC3/3d3/G1r32NWCwGQGdnJ/F4vPj7eDxOR0cHfX19RCIRTNMc0v7R55imSSQSobe397iv1d7ePnJ7J4QQ4rScdO6jn/3sZ9TW1rJo0SJ++ctfAqCUOuZxmqadsP1EdP349ehE7SdSURE5rcd/VDwePavnnwuSaXjGYiYYm7kk0/CNxVznM9NJi8K6devo6uri5ptvZmBggEwmg6ZpdHd3Fx/T1dVFVVUV5eXlpFIpXNfFMIxiO0BVVRXd3d3U1NTgOA6pVIrS0lKqqqro6upi0qRJQ17rdPT0pPC8YwvScMTjUbq6kmf03HNFMg3PWMwEYzOXZBq+sZhrpDPpunbSL9Mn/Vr+ve99j2eeeYannnqKr3zlK1x//fV84xvfwO/3s3XrVgDWrl3L4sWLsSyLxsZG1q1bN6QdYMmSJaxduxYYLDSNjY1YlsWSJUt46qmnANiyZQt+v5+6Opm1VAghRssZTZ29Zs0a7r//ftLpNHPnzuXuu+8G4MEHH2T16tU88cQT1NbW8sgjjwDw1a9+ldWrV7Ny5Uqi0Shr1qwB4POf/zx/93d/x8qVK/H5fHzrW98aod0SQpyuvOvw3kAn+5I9lPqCzC+rJR4Ij3YscZ5p6ngXAy4g0n107kmm4RuLuYaTKec6/GD/mxzJ9BMyfRRcF1DcMXk+M2KVo5JpNIzFXGOq+0gIMT5s62vjSGaA+lAJZb4g1cEIUcvP00d24CpvtOOJ80iKghCCHQNdRK2hy9GGTB8pp0BfPjtKqcRokKIghCBi+rA9d0ibpxQK8BnG6IQSo0KKghCCyyrqybkOhaOFQSlFZy7FrFglMSswyunE+SRFQQjB5EgZTQ2zGSjk6Mgmac8mmRopp6lhzmhHE+fZGd2SKoT4+GmsaGBeaTXduQwB06TCFzrprATi40mKwnnm2C673j3Cru0taJrG7Hn1zJzXgGHISZsYfQHDoiFcMtoxxCiSonAeeZ7it795iwO724nEggBseO4dWg738qmV8+VbmRBi1MnX0/Ooo7WP5r2dxGtKCIX9hMJ+4jUl7NvZSndHYrTjCSGEFIXzqbd7cFTih88IBv9bK/5OCCFGkxSF8ygU9h//F9pJfieEEOeRFIXzqGFSJdGSIP29aZRSKKXo701RUhqmdkL5aMcTQggpCueT5TNZedvlVNeV0tOVpKcrSU1DOStva8Q0ZdSoEGL0yd1H51lJWZhVt19BJp1H0zSCId9oRxJCiCIpCqNEriEIIcYi6T4SQghRJEVBCCFEkRQFIYQQRVIUhBBCFElREEIIUSRFQQghRJEUBSGEEEVSFIQQQhRJURBCCFEkRUEIIUSRFAUhhBBFUhSEEEIUSVEQQghRJEVBCCFEkRQFIYQQRVIUhBBCFElREEIIUTSsovBP//RP3HjjjaxcuZLvfe97AGzcuJGmpiaWLl3Ko48+Wnzsjh07uPXWW1m2bBlf//rXcRwHgNbWVu666y6WL1/Ol770JdLpNACJRIJ77rmHFStWcNddd9HV1TXS+yjESSUHMux+r4V9u9rIZgqjHUeIUXXKovD666/z6quv8utf/5pf/OIX/OAHP2Dnzp3cd999PP7446xbt47t27fz4osvAnDvvffywAMP8Nxzz6GU4sknnwTgoYce4s4772T9+vXMmzePxx9/HIDHHnuMxsZGnn32WW6//XYefvjhc7i7Y5NSiqzXSb+zm6TdilJqtCONG++8cZB/+d8v8od12/jt02/x4/+1gcMH5YuJGL9OWRSuuOIK/vmf/xnTNOnp6cF1XRKJBJMmTWLChAmYpklTUxPr16+npaWFXC7HggULALjllltYv349tm2zefNmli1bNqQdYMOGDTQ1NQGwatUqXnrpJWzbPke7O/Z4yqY5/2t2Z/8fzfmnebvn/7I//3NclRvtaB97PV1JNv5hByXlYSqrY1RWxwgELV749VsU8uPnPSjEhw2r+8iyLL797W+zcuVKFi1aRGdnJ/F4vPj7qqoqOjo6jmmPx+N0dHTQ19dHJBLBNM0h7cCQ55imSSQSobe3d8R2cKzrsrcy4O4ioFUT1KsIm9Uk3YN02JtGO9rH3uH9XWgamKZRbAsEfdi2Q3tL/+gFE2IUmcN94Fe+8hW+8IUv8MUvfpGDBw8e83tN047b7XGy9hPR9eFf/66oiAz7sccTj0fP6vln60Dnu5T6ajB1f7GtIlJH2t1BZWXTSY/T+TTax+l4zjZTtCRAwO8jHPYPaU8HfZSWhc749T+Ox+pcGIuZYGzmOp+ZTlkU9u3bR6FQYM6cOQSDQZYuXcr69esxjA++XXV2dlJVVUV1dTXd3d3F9q6uLqqqqigvLyeVSuG6LoZhFNth8Cyju7ubmpoaHMchlUpRWlo67B3o6UnheWfWBx+PR+nqSp7Rc0dKOpvFREM/+uEfDvvIpB3yZOnqSqBpo3+D2Fg4Th81EplKKyJkswUSAxmMo2cL+ZyN7bj4g74zev2P67EaaWMxE4zNXCOdSde1k36ZPuUnzpEjR7j//vspFAoUCgV+97vfcccdd3DgwAGam5txXZdnnnmGxYsXU19fj9/vZ+vWrQCsXbuWxYsXY1kWjY2NrFu3bkg7wJIlS1i7di0A69ato7GxEcuyzna/Lxjl5kUUVN+Qtjw9lBqzx0RB+DiriMe4cvEs+nrTdLUP0NUxQCad51MrF+APnPw9WCg4JBNZPNc7T2mFOD9OeaawZMkS3n77bT7zmc9gGAZLly5l5cqVlJeX8+Uvf5l8Ps+SJUtYvnw5AGvWrOH+++8nnU4zd+5c7r77bgAefPBBVq9ezRNPPEFtbS2PPPIIAF/96ldZvXo1K1euJBqNsmbNmnO4u2NP3LqCpNtM1mtHw8CzdSwtSo117WhHGxcWXDGVydOraW/pRTd0GiZVEvpId9KHua7H5ld2s/2NZjxPEQxaLLpuDtNn153H1EKcO5q6wO9/vNC7j2DwDqSEe4Cc101NeQNusgZD8412rKKxcpw+bLQyvfbSLt54dR8V8QiGaZDP2ST6M9x0x5XUTaiQYzVMYzETjM1cY677SJx7umZRas6kxnc18eBFY6ogiA/YBYd33jhI+dGCAOAPWPgDFtu2HhzdcEKMkGHffSTEeJXLFtizo5VD+zrpbOsnFPYPuY3VH7BI9GVGMaEQI0eKghAnkU7meOqnr5IcyOLzmwz0Z9i29QBz508kHAkAkEpmmbdw8ugGFWKESPeRECexbesBkgNZKqtixEpCzJhbh+t47HmvhVy2QE9XEn/Ax8WXThrtqEKMCDlTEOIkDuzpIFYSLP5cVh7hooWTOLi7A9M0uOSyyVy0cBLRWPAkryLEhUOKghAnEQj5SCWy+PwfjFsIhnw0TKnk1ruvGXJtQYiPA+k+EuIkLr50MulkDtdxAVCeoq8nxdz5E6UgiI8lOVMYp5RSJAeyKKWIlYbGzBxLY8302bUk+tO88ep+UApPKWbOrefya2aMdjQhzgkpCuPQQF+aPzy7jc62fmBwDqDrV1xCZXXJ6AYbgzRN47JFM5g7fxKJ/gyhiF+uH4iPNek+Gmccx2XdL7bQ252iPB6lPB4lk87zzM83k8vJqmMnEgz5qK4rlYIgPvakKIwzbUd6SQxkKCkb7DLSNI1oLEg+Z3No/7lbcUwpJSvKCXEBkO6jcSafczju1QPFOVmf2LFd3nxtH9vfasYuuEyZUc0V186kpDQ84tsSQpw9OVMYZyriURTgeR9M+ayUQqGIn4NrCi8+9w5bNu0lGPJRVhGmeV8nT//kNXJZ6aoSYiySojDOlFVEmLdwMt0dCRIDGVKJLF3tCabPqqWmvmxEt9Xfm2bvrjbi1TEsy0TXdcoqIqTTefbtahvRbQkhRoZ0H41Diz45m7oJ5ezafgTX85g5t56pM2vQ9ZG9LTWVyKKhHXO7q2UZ9HanRnRbQoiRIUVhHNJ1jSkzqpkyo/qcbidaGhzsmvIU2ocKjl1wqRyD6+AKIaT7SJxDJaVhZs1roKtjgHzexnFceruTREuCTJlVM9rxhBDHIWcKRxVsh50HO9h9qIuA3+Li6bVMrC6Tkb5n6ROfnktpeZjtbzaTy+SZObeeSxdNJxCQhYSEGIukKAC247L2xXc40jlAOODDcT12NXfxyUuncdmcCaMd74JmmgYLrpjKgiumjnaUM5LNFCjkbSKxIIYhJ9bi40+KArC/pYfDnQNUl0WKZwaO6/Hy2/uZM6WakHyrHXcKeZtX/rCDPe+1AhAMWlzz6YuYOkO6vcTHm3z1AQ539OG3jCFdRaaho4CegfToBROj5uXfvcfu7S2UVYSpiEfRDZ0XnnqTrvaB0Y4mxDklRQGIhPw4rjek7f1pGQI+6wTPEh9X6VSOvTtaKY9H0fXBP5FA0IdpGezYdniU0wlxbklRAGZPqsbQNNJHJ4RTStEzkKYuXkKlTMcw7uRzNpquHTNuw/IZJAYyo5RKiPNj3F9TcB2XWNjPzUvm8cLru+nqT4GCyXXl3HDFrAvq7qO+nhTvvtVMd2eC6tpS5i6YKHMMnYFYSQjLMink7SErrmXTBSZeHh/FZEKce+O2KHQd7uZ3//d37HnrIL6Qj/nXXczdyxtJ5QpYpkEk5B/tiKels72fp3/yOgpFIGjR1Z5g5ztHuPlPr6K8UgaKnQ7TMrjmujn8bt3b+Pwmls8kk8pTWhFm5kX1ox1PiHNqXBaFga4ET/3TbwhHAlQ0lOMUHF779WayqSyfuHXRaMc7I6+9uAvd1IiVDJ4ZBEN++ntTbN24lxtuWjjK6U7Ncz36etMYhl6c1ns0zbionkhJkHffaiaVzDFv4SRmXzyBQFDuRBMfb+OyKOzYtAvXdSmNx0hn8lh+i8oJFbz7xx1cunQBoeiFtZCK53q0HO6lsmroGUE0FuTwwe5RSjV87S19/O43b5NO5VBqcLbWT62cT0nZ6HZ91TaUU9tQPqoZhDjfxuWF5p6WXvwf6R7SDR1N08hcgBcSNV0jFPZhF5wh7YWCQyQaGKVUw5NO5Vj3i814rkdFPEpFPEp/X5pnf7kV9yN3hInj81yP1sM97N/dzkCf3EItzs64PFOonlLFkZ1HhrS5toumaUTKIqOU6sy4rkcqkeWi+ZN4/eVdlMejmKaBY7skB7J8auXM0Y54Us17O7Btt3hWoGkaJaUhejoTtLf0UT+xYpQTjm3JgQzP/nIrfT0pNB2UB5c0TubKxbNHfNZbMT6My6Iw+6qZvPvSe3S39GKF/dh5m2RPiitWXUYgfOFcYN67s5VXfr+DfM4GIBQJMNCXRtM0dENn0XVzmDF36IVRpRS93Sm62vuxfCYNkyrxB0ZvLEYmWzju9QPF4KhicXIbnnuHxECGyuoYMLh40luv76emvowpMvpanIFxWRQipWE+8+9XsefVXbyzcTehWJDrP7+EmVdMH+1ow9be0sfvnnmLaEmISDSA53r0dCeZNbeehVdNJxzxY/mG/vMqpXj1xZ1s23IApTQ0DfwBixtvbaSqtnRU9qO2vhzP3YNSqlgc3u82qjwHK8F9nKSSWdoO91L+oWnIdV0nGPaz850jUhTEGRnWNYXvfOc7rFy5kpUrV/Ktb30LgI0bN9LU1MTSpUt59NFHi4/dsWMHt956K8uWLePrX/86jjPYz93a2spdd93F8uXL+dKXvkQ6Pdj3mUgkuOeee1ixYgV33XUXXV3nbvH4DyupKmHFv/kU//qbf8bn7ruV2VfNLI5evRBsf/Mgls8sfsvXDZ2Kyih7d7YRCFnHFASAluYe3t58gPJ4lHhNjMrqGLqh8dtn3sIbpf772oZyps2qoat9gORAloG+ND1dSS5bNJ1o7MK64H++ea46bruuabiOXI8RZ+aUn4IbN27k5Zdf5le/+hVr167l3Xff5ZlnnuG+++7j8ccfZ926dWzfvp0XX3wRgHvvvZcHHniA5557DqUUTz75JAAPPfQQd955J+vXr2fevHk8/vjjADz22GM0Njby7LPPcvvtt/Pwww+fw939+Eglcvj8Qz/4dUNHKYrdSR+1d1cbls8cUvzCkQCpZI6eruQ5zXsiuq5x/coFLL3pUuomlDN5ejVNt1/BZYsunLO20RItCVJaESGdzBXblFKkUzmmz6kbxWTiQnbKohCPx1m9ejU+nw/Lspg2bRoHDx5k0qRJTJgwAdM0aWpqYv369bS0tJDL5ViwYAEAt9xyC+vXr8e2bTZv3syyZcuGtANs2LCBpqYmAFatWsVLL72EbUtf8qk0TKkkk8oPacvnbIIhi8jp3lKrjv+N83wxDJ1ps2tZevOlXH/jfBomV476OIULgaZpXLf8EpSC7s4EPV1JujsSTJ5ezfQ5taMdT1ygTnlNYcaMGcX/PnjwIOvWrePzn/888fgHw/2rqqro6Oigs7NzSHs8Hqejo4O+vj4ikQimaQ5pB4Y8xzRNIpEIvb29VFef26UiL3RzL5nI7u0t9HQmCIb9FPIOju1yw00LTzjv//RZtezcdhjP84pnC+lUjkgsSIUsj3lBiteU8Lm/WMzBfR1kU3mq60qpbShHl7UfxBka9oXmPXv28Fd/9Vf8zd/8DaZpcuDAgSG/1zQNdZxvnCdrP5HT6duvqDi7W0jjY/DDcFiZ4lH+8ss3sO2NgxzY00FJWYiFV0yjbsKJB1tVVkYY6E2xZeNeFAqNwZHPt/7Z1VTXnPyi7gV7nEbBaOSaOOnkt+6OxWM1FjPB2Mx1PjMNqyhs3bqVr3zlK9x3332sXLmS119/ne7uD0bKdnZ2UlVVRXV19ZD2rq4uqqqqKC8vJ5VK4bouhmEU22HwLKO7u5uamhocxyGVSlFaWjrsHejpSeF5Z9b9EY9H6epK4rkemUQGX9CPbxRvz/xwpuGaPree6R+67fRUz73o0snUTqygs30An8+kfmIFhs886fNON9P5MBYzwdjMJZmGbyzmGulMuq6d9Mv0Kb+St7W18dd//desWbOGlStXAjB//nwOHDhAc3MzruvyzDPPsHjxYurr6/H7/WzduhWAtWvXsnjxYizLorGxkXXr1g1pB1iyZAlr164FYN26dTQ2NmJZ5++Dee8b+/nhf/kpP/wvT/L/vv4jXv31ZlzHPW/bHw3llVFmz2tg6syaUR2jIIQYe055pvB//s//IZ/P881vfrPYdscdd/DNb36TL3/5y+TzeZYsWcLy5csBWLNmDffffz/pdJq5c+dy9913A/Dggw+yevVqnnjiCWpra3nkkUcA+OpXv8rq1atZuXIl0WiUNWvWnIv9PK5DO1t44f/+nmhllMqGclzb5Y3n30bTNK5sajxvOYQQYqzQ1PE6/C8gZ9N99Md/eYk9bx0kVhkrtjm2Q6o3zb96+E4sv4XreXT0JLFdl6qyKEH/uf1mPR5OX0fCWMwEYzOXZBq+sZjrfHcfjcsRze/r6xjAFxw6rYVpmTi2QyFnk8zb/Pqld+hLZgenjtA0rm+cwbxpcrufEOLjaVzftzZ5bsMxs6JmUzkipWH8YT9P/3E76axNVVmUeGmEWDjAC6/vorN3bH2TEEKIkTKui0LjsgX4gj56WnvJpXMMdCVI9aW4+par6Elk6EtkKf3QQDDLNNB1jZ3NnaOYWgghzp1x3X1UUhnjlv94E+/+8T0O72whPiHOJdfNo3ZqNS2d/XCcoRSGplP4yLoFQgjxcTGuiwJAtDzCZTfNofHmeSjlo9vup7PQQ7xMMbNmH0E/JPP1JHMVg/MKOQ7TJlSOdmwhhDgnxnVRSNnt7Mn9gqzXRcpNcyTnkXJmUGn2c1Xoba5fGKWjKw0o9rTPZduhi5kzqYaJNWWjHf1joVBw2L39CHt3teHzmcydP5FJ06pk3iMhRtG4LQqOyvJu348peHlQMY7ku/DrNiH/Lq7wd5H2/KR0jan1c+lLpLiq5CAXzbyeqsrZGBfQFNtjleO4PPvLLbQd7iUcCeB6Hs37ttB49Qwu/8TYXi1OiI+zcfvplnD2YnsZfHoJCTcFaOhaDJ/WTYE8hh6i4Nl4pkN9vILq8jImVnZIQRghh/Z30Xa4l8rqGKGIn2gsSEVVjDdf2z9kKmghxPk1bj/hCiqJdnT3HeXy/lVlhYbL4DQXGuAVx/YpxuqJVcrN0J7vJuVmTv3gMaLtSC+WzxjSVaTrGrlcgb0720Zt0R8hxrux+Sl3HoSNOvp5HU0pYmaEDrsbUNjKj64UupYGTEJGAJQNmoerzR7t2EO4yuXVgW3syOxHQ0PhMSs0hatLFmBoxmjHO6loLIjzodXB0skce3e1kUrkQG3j3beauaFpIfEPzd46uL50klzWJhzyjUZsIT72xm1RiOgTKLOm0ZZ7D78epdz0M+B04niT2OJUcmnwNaYH/PjoAk0jz0o8bWytebs9tZd303upsErRNR1PeexI7ydmRJgfnTXa8U5q2qxatmzcQyqZwx8w2f1eC3bBpSIepW5iBelUnnW/3Myf/uUn8flMMuk8Lzz9Ju0tfWiaxu+DFpc0TuGSxilyYVqIETRui4KmGcwpuQ0j+xp9zrtMDVbgeRPoKgTw6z5iwSb8Zj85HDwmoLSzm8887xUYcJIE9AAxMzwi+7A9vYcSM4quDXaD6ZpOiRnlnfSeMV8UwtEAK2+7gheff4dD+7vIpgtU1ZUyaWocTdOIRAN0dyZoae5hyoxqXnzuHTpa+6mIR9E0Db/fZNOGnVTEYzRMlluEhRgp47YoABi6j0prAZXWgmLbzNAHv3epOuttKKXYltrN1uS7KEApj0nBOhaXNuLXz64LJO/Z+M2PzN2kGaTcDEqp0/4GrZSieV8n27YeIJ3MM3l6FRdfNvmcLfBRXVfK7f/qE2zdtJfXXtpJTf1HFghSYBcc0skchw50FQsCgGka+AMW7207LEVBiBE0bi80ny+H8m28mthG1IxQbpVQbpXSnBtsO1uTA/UkndSQtoSTYnKg7oy6VLa/2cyzv9xKX08KpRTvvNHMU//y6hnfDZQcyPDH377LD/+/P/DLH21k3662Y1bh0zSNydOrMUwTz/vgGoPneqANLjdp2y6aduxqfYapk8sWziibEOL4pCicY++l9xEyAphHL/xqmkaZGWNv5hB57+w+0Bpjc/HpFj12PwknTY/dj6WbNMbmnfZrFQoOr/9xN2WVESLRIP6ARUU8SiqZ4523mk/79dKpHGv/5VV2vnMYw9JJJbI8/9QbvL3lwDGPrYhHufjSSXR3JOnvTdPfm6atpQ9/wOLXP32N55/aSiHvkE7li89RSpFO5Zk2a2xd5xHiQjeuu4/Oh6ybLxaE9w3eKaRwlIv/BM8bDiNnMrtlFgf6WtDiiumT65gRmTR4x9RpSg5kcF0PyxqaNRj0ceRgN9Nm153W6+185wjZdIGKqsGuJ5/PxO+32LpxL3MvmYDvQ+tSaJrG1dfNYeLUOPt2tWMXHPbtbMPOO0RLgxQKDvmcTUtzNxVVUUzTINGXpm5COTM+tBSpEOLsSVE4xyYH69iafI+A/sHHf9bLUWpGCemn/+H9vo7Wfn7z89exbRdd13Adj9C0JBfddGaLAAVDg/k8z0P/0AC9QsGh7CQLcpxI+5E+AqGhWUzLwHU9kokcFfGhv9M0jQmT40yYHOftzfvZv6ud8qPXMizLZMKUOF3tA1xy2RTyeZt58ydSUh7BtMb2rbdCXGik++gcmxOaRpkZo9vuI+mk6bX7yXs2nyi59IxvpfQ8xe/XvY1pGVRWxSivjFJZHePg3g727Ww7o9cMhf3MntdAd2cS13GPds/kUMD8ximn/Xrl8QiFnD0099EBaaHwyc+P2lv78QeHFg3D0PH5TabOrGHJ0ouZPa9BCoIQ58C4PFNQyiXrdZG0E3gqjH4OB3oFDT9NlZ/kQPYILflOSswIM0KTKTFP/9v3+xL9GZKJDBXxD5YR1TSNUMTP3p1tzJrXcNLnK6Xo6UrSeqgHw9CZODVOtCTE1dfNwec3efetZhzHo6w8QuM1M9A0De8072aaffEE3n3rEKlElnA0gOt49PWkmHfpJIKnGHhWURmhed/QNSs8T6E8RThy5mdXQohTG3dFIeO2c7Dwa2yVJNhrYecsJvtvImycu75pv+5jdngqM0OT0dDOerCVYWgoxTG3nXqeOuaawEcppdj8yh7efHUfmgZKgb5B41MrFzB1Zg1XLZlN49UzOHSwm1d+9y4vv/Aem1/aTbQ0xKdWzaekdHhjLMoqIqz6kyvY9IcddLYPYFkGly6azqVXTTvlc2fNa2Db1oMk+jNESwZHPvf1pLho/kTCUSkKQpxL46oouKrAgfwvAI2gVkXY9NFPH/vzv2BO8AuYWvCUr3Emeu0BXk+8w+F8Oz7NYl54BvOjs465AD1ckViQuoZyOtv7KS0fPONwXY9cxmbmRQ0c3NvBnvdaKRg2gRkaVlyn2lfOlGAD/Z1p3nh1L+WVUQxjsPewkLf5w7PbqJtYTiDgI5cr8Id1b+MPmFRURQmFfLS19PPsL7fyJ//qE+jG8Hodq2pKWXnb5SilsG0P13XRh1EQoyUhbvrclWzasJPWw71YPpPGRdNZOIyCIoQ4O+OqKKTcZhyyBLXqYpulhcl6KZLuAcrMuedgmxme6X4RD48KsxRHuWxNvkvGy3Jt6WVn9JqapvHJ5Rez/ldb6e5MYPts+uO9hD9l8cy2P5LfDeEKP4cmNlM44FAxEKWyLsq29G7qDjSg63qxIAD4/BaJgSydrQNMnBrn4J4OHMelNBQubq+kLER3Z4KOtn5qG8pPFA0YPGN5961m3nh1H+lkjnQqh2kahKN+QuEA195wEZOmnnxgYGV1CU2fuxLHdtENHV2XqSyEOB/G1YVmj8LgZKfHULjq3AyC2pNpJu8V0NHosntJuxnKzBi7MgdJu9khjy14Nmkne8wAr+OJloS49e5PcP2fXAw3ZKhcFKY0EKX53W66Iz20N7RhBQzKjBjp1gJhO8yAk+KIr+0ExwCOzpZBJlM47oewpmkU8qdeivTtLQd4+bfv4vMZpJJZOtsH6GzvJxD0oWnw3No36OlKnPJ1YPCOJSkIQpw/4+pMIaTXAoMXmhUeGWeArFvAwyFsnN59+KfiKY+Ek+Jwrp22Qhe25xTXfPZrPiqtMlJuhrARpODZvJbYxp5MM75+k6AT5JrShdT4Tj59g65rdEa7CBk+yqwSupqTWJqFZWl0+zuocaoGrxsA6XSeWDBMpiKFwo9tu8XrD9lMHn/AoqZucEW5uoZy3ti0d8g1C9f1QEFlVexEcYDBxXPeem0fZZURPE/R35MmVhIkn7PpaO1n6swasukCO985wjXXj/yZmRDi7IyrouDXy6m2ruJQfj0Zrw3D03Bch6BeRc7tI6if/VxHAC25Dl4a2ErGzXIg10qfPUCNL4559Kt41s3RZfcQNQa7Z17q38KBbAvlVgkRn5+uQoJne17m1viniZ3iLqXWfBchY/BaiOkf/JC3MPE8hYuLrploGpiGjqs8YqEwc2+Yxcu/fa+4VoTfb7HsM5eilMJzPeomlDN1Zg37drURCPko5Gz6+zNcuXjWKS/05nM2tu0Ss0wyqTyaNnhh3bQMspnBEcmWzyA5kD3p6wghRse4KgoA5eZ8Wgt/IKTXELAC2E4USwU5XPgNEaMeSz/zW0VhcO6h53o3EtB9lFulHM61A9Bd6CVmRHBwcJRLwPDj000STpqD2RYqrNLiB2jYCNJrD7An08xlsYtOur1SM0JroWtwZteGAFZQJ5csYPX56ascwExZBEw/4ZIAfe4Al0YvZ/YlE5k0rZr2lj4Mc7C/fuOGHXR3JLAsg0sum8InV1zCtFm17NvdRnlZmNpJldRNOPm1BBgcAR0MWuRzNv6ghaYPnmW8Py02QC5ryyR2QoxR464opL3DGFoAJ1vN3kP9pLNJUEkq4nmqqw9QHbz4rF5/b/YQCo/g0akmTM2kwiyly+6j2+nD1Az8mo+kk6HfTuLioWn6MbepWppJv5s63iaGuDg6k4PdrWTdPEGfnykrynnj+QO4u3SwXQpVaVStzWG7jatjC5gZmgQMDiCbOrOGvp4UP//nl/H5TSriURzHY/Mre8jnba65fi7TZtcSj0fp6koOa/91Q+eKxbP4/W/eJhwJUNtQxv7dHRiGTqw0RFd7gop4hBlzRra7TggxMsZdUVAocrbD7uYOQkEfoYAPpaBvoJc/7n+Pm66ejS9wZlNFAKSd7JBVzyp9pezNHEYDqqwK/IaPrJcjoAfYOPAWN5QvQmNwSdAP36KaVwXqfHGUUnTb/RzKtaJQNPirybp5jhQ6COp+pgUnckPZIl5LvEOP3U8qmiG6EuK5SmJmhECZRdbL43gOC2NzimsvvO+9tw+hoRGJBlFKkU3nyecLbPz9DuZcMoHyytOfNnvm3Hr8fou3Xt+PQrHoutmY5uC+TZ5WzeyLG/CfxTEWQpw7464oRPQJ9CdyaJqGzzTI5xxSrR24Th9v/MtOOn/9AxbfchUXXTvnuIPMUk6GjJelxIwedz2EOn8VOzL7ixdp41Y5+zmM0hQ2Dq7rETICTAtMoNPuxUNxaXQuryXeIWQE0N3BIlBqRpkabGBbajd/7HkTDQ3LMnim50X8mo8Kq5T2Qg8DTpJaf5wlJY1owPO9m7Bx6An10aP1Ue9UU+2voMfup6vQx4TA0FlFe7uT+AMWnqfYt7ONgf704FrJWZsnv/9Hbv2za057PYX3p8OePL361A8WQowp464o+PQY+c4FWKFNYNnkuvpwnAx926egW6X4IwFe+ukrxCpjTJhTz/6WHrbsOExfKkO+ZABjQopg2EBD49LoXOZHZg0pHpOCtdRm4rQdvQDsKpeAEaDSKqPCV4almUSMoyv5eIMzps6PzKLEjPJeeh+67nFpZA5zw9Np7+/nX/b+AS9toKPj6i5U2hT8Nj32AGk3g4bG/sxh2nJdBAw/tf44WZUjpAfwULQUOii1Bj/UP7puc8JJkyxPsHvvEXxpi2QyTzQcwvMGC5rPZ7Jh/TvMmXfq0d65bIG3Nu9n1/YWdE1jzvwJXNI4BZ9v3L3FhLigjcu/2ImxK3hxm4+JEzIcWv8Gdmo6dtqPprlEIgF01+OdDdvp9+m88NouIkE/3V4PrQf7CLf6WXhtKVYQXk9so8SMMCX4wVxDpmayrPwa9mUPsz97hIDuY0ZwIttSeygzY8UCMmAnqfdXFae5nhKsZ0qwnng8Smdngh2p/fzPl/9AqnQAv+4nZkbIFwpkWl30+iSO5mIweC3CxMDQdLrtvsEFdtBwlYuhGSgUXYVeKn1lVPs+uFDcaw/wdPcGspPyeG+5tHYNQJnCTBl4OZg4uZJYaYjeriSJ/sxJj6frejz7iy10dgxQUhpCKdjyyh462/pZcUujrKEsxAVk2IPXUqkUq1at4siRIwBs3LiRpqYmli5dyqOPPlp83I4dO7j11ltZtmwZX//613GcwcFOra2t3HXXXSxfvpwvfelLpNNpABKJBPfccw8rVqzgrrvuoqurayT377hmT6qiNFjF4T0VdG+PkRkwyeZsJtWUYRg6lt8k0Zfi5bf2Ux4LEQpa9KsEZSVBXEfRejCLqRmEjCDb03uPeX2fbjEnPJWVlYv5VPlVXFUyn7mRqfQ4/XQX+uix+wgZQT5Rculx8+3NHmLdgc3YWfBZBpqm0eckwPAouDZ2QaExuPSmjkZB2YN3LjE4gnpyoA5bOWS8HAXPxtQNlpZfPeRMYUvyXRSK6tIKLv5sAyUTgigX8qVZps+qoaq2FBgc42CYJ3+btDT30NHeT2VVDMtn4vObVFbHOHygm862geLj3l8Tob2lrzhjqhBibBlWUXj77bf50z/9Uw4ePAhALpfjvvvu4/HHH2fdunVs376dF198EYB7772XBx54gOeeew6lFE8++SQADz30EHfeeSfr169n3rx5PP744wA89thjNDY28uyzz3L77bfz8MMPn4PdHCrgt/iTTy9g6eK5hMsjBDWNuVNrqK4Y7GZJ9aapmVmH7bj4LBMPD4VCQ8Pn1xnoGRz9bGomWTd/zOs7yqUl38nBbAtpN4uu6Vxbchm3xm/gurIrWFFxLZ+NX4+tHHrsflzPZaA/zUBfGqUUbyR3ECSAlQuieTroHgY6Bc9B6S6apxcX6lEoDE0fnNlO0/CUh6NcLG1wecuoEeZP4supsEqHZGzJdRTHSfhjFjM/XUP5FX6Cn1SUVkTQNI3+3jQNkyqJRE8+J1R/bwqNoWcDmqaBRvEsY++OVn74P/7Ab36xhV//9FV+8n9fomeYdzQJIc6fYRWFJ598kgcffJCqqsHBXdu2bWPSpElMmDAB0zRpampi/fr1tLS0kMvlWLBgAQC33HIL69evx7ZtNm/ezLJly4a0A2zYsIGmpiYAVq1axUsvvYRt28eGGGFBv8W1l83gnv98C7UlEdxklnR/mu7DPUQrIiy4bh66ruG4HqZmENQD2MrGthWh6GCvW8rNUOOvYEtiO890b+CV/jc5kD3Czzuf49mel/ht76v8pGMd25K7ASi3SpgemkhID/BU9x/4Zddv+ene5/nv/+sHfO9/Pc9P/+9LfP+7v6Wzo5/yksGCEO6uwMm55BNZ8gMZjKxGOD/4Ye4oF01pWFgUcIibZaTcLHuyh8h4g+sqW5rJ+t6XKXxk6c+QEaCgPjjOpeVh4g0luGlFb1eS7s4EpWVhliw79dKesdIQaEPnznh/qo5ILEBfT4rfr3ubUNhPRTxKRTxGoeDw3NqtcsYgxBgzrGsKH/323tnZSTweL/5cVVVFR0fHMe3xeJyOjg76+vqIRCKYpjmk/aOvZZomkUiE3t5eqqvP/Z0rSikq6spo+uvl7H/rIP2dAzTMrGPmlTMIRYNcOquBV7c3U1ESZoK/mvf6m7Edm9IJfnrsPvyan/3Zw7jKI6AH6Mj3sL7nZeoD1VT7KoDB+Yw2DbxNtb+Cal8FjnJZ3/sKtudQppWw/fkWclmHRKAFs9fjvQN57Nc85n5RMWlWmF2/z1JoDUClia7pGCmdkolBJq2o5BBtOJ6Dg0PcKOeTpZfxXuYAE/Ua0m6WbqePtJflreQuUm6G26qWFs8Y5kdm8WL/FkzLxNQMPDxCtT5uaVhC5Yw4wZCPqtrSYc071DCpkrLyKL1dSUrLwyil6OtJU11fRnVdGW++tg80DZ//g7dbNBakpzM5rAn2hBDnzxldaD7ehG2app12+4l8eDnIU6k4g6UiAToPd/Oj//4crfvb0TWNGZdN40/+/Y2ESz5YL6Dp+oupKI+wcdsBvILBFXWzmTDXh6/cY0KompZsJ3tTh6n0lQKQdiwOFDxSWpr6QCWH0m30FAbIuQVeSL7MX067hZ5CEteyqfGX09ecwcspjJBL74uHsJIalm6Qy9q89f/rpfHfL6DEU2TjFp5mcVHtRKJRH9sO7sNoDbFw3kz68ymmRRu4qX4JA3aKw63tlFoRjvS14zctLN3Ecg0KRoGXsq/zr2tuxtJNKiovxorovN67nYJS6JrGdVWXsajy4mPGMgCnvC31X33pOv74u/fYse0wmqZx1bUzueb6OQRDfoIBk1DIR/gjK66lAzli0cBp3/I63EyjZSzmkkzDNxZznc9MZ1QUqqur6e7uLv7c2dlJVVXVMe1dXV1UVVVRXl5OKpXCdV0Mwyi2w+BZRnd3NzU1NTiOQyqVorS0dNhZenpSeN6pZxX9sGwqy08f/gV+v0WkMoZSinc27aL9cA83feVG2vd30N+ZIFIWZvqsOmbUV+I4XvGiLwAObOh5A0vzkXYGu2bSbh7N0+nPJtlW2EPWLWAwuCDOwUQ7P9z9LPMjM8nlHFJOns7eAdL5HAP7WvESDkZpGJ/lx0vaaD0FDj59CGWUUV9TQq2vcnCOIxemRyfi69CYf9kk6mJVxK0ySGoUCh7ZXIFMpoeC42DqJrbrYnsuQSNITzLBOy0HimMVpjGZCSX1pN0sISOAHx893eljjtdwRzQ3XjOTSxfNAAYn60ulC6TSBUoqoqSSucFZUo+eedgFh4LtYPjNYY+WPpNM59tYzCWZhm8s5hrpTLqunfTL9BkVhfnz53PgwAGam5tpaGjgmWee4dZbb6W+vh6/38/WrVu57LLLWLt2LYsXL8ayLBobG1m3bh1NTU3FdoAlS5awdu1avvjFL7Ju3ToaGxuxrHM72vXAtmZy6TzVDRWkM4OTtlXUldO+v4OfPvxzEj0fTC9RXlvGyn+7nMhxVhzzpU06D3QQ8geJTo4R9AfQNZ2cmyevbApeAYXC8VwMTacj34MT9ih4Nu+m95IK5eivyJF7sx+twkRTR5dCA2INUbw9eabOmkCFP1r8MAXAhtl1k1kQnUXayfD6wbc4kGohVBnCh0m70z24MhuQ9wpYmkmpFaXfSWKroVNf+3QLnz5yx/t43U21DeXMvriBne8cwbQMlKfwlOKTyy8mEDj50pxCiPPrjIqC3+/nm9/8Jl/+8pfJ5/MsWbKE5cuXA7BmzRruv/9+0uk0c+fO5e677wbgwQcfZPXq1TzxxBPU1tbyyCOPAPDVr36V1atXs3LlSqLRKGvWrBmhXTuxga4kGVOjK19Acz2CRxec6WvvIz2QZvIlk4pnBL1tfbz61Ot8+l9dd/ROI0XQCPDuKzvY+6MdHM61oWs6gWCAOXdfRGl1lB7l0mX34dMsNCBqhjE1k5ZCJ57yAI1+J0UhnEef78JLCi/okjOy0A3BMh9aQBH2QkybU8veHa2UV0bRdY10Ko+u69TOKeWXh17gpXdfI5PM4m81CLX6qFxZTXhqmB5nAFxFiRmh4UOjmKt857//Xtc1rlg8C13X2LurjdJ4lKsWz6JuQsV5zyKEODlNDWdFlzHsdLuPUtk8/+9nr7Bt6z4iJUEc16PeZ9GgG7z26y1MXTCZ6slVmEdH4nquR2drN1O/PptWd3AMRUlfkP3f3UN/SYq8bpP1cjhpB8PRuePB20npGX7bt4mA58dvm/jCfjQN+t0kn41/mndSu+ko9NDnJDAxSK7rJ7WhH73WpDxYQijoJ9ueZfmyT3LdzYt5/eXd7Nh2GNf1KK+MMGNhHa8H32TfrgMMdPfjj/jxgmD0QHCTRsNfT2VqzQQO5toIGH6UUrjK5YrYxcyPzjrtY3y2p6/JRJanf/oayYEsls/Atl3CkQBNn7ti2Gs+j3Smc2Us5pJMwzcWc10Q3UcXst+9vhvb0qkqC9OXyJDSoDWd5e22ASIatOxqpeNAJ1PmT6asphSl1ODkc/kKygMlAOx9Zw8HcoepqowT1kN4RPF8HgOtCdyWPMGaMMarGr2vtmLkNIyYQeC6GJGLY1gMTpedcjOUGTFM3aBkWZiWfpfc/gzpfJJI0kfjRZew+MZrsHwm11w/lys+MZPe7hR//O12Xti8mbbaVlKHchgxH7rS0TIKt1LhRBTJ7QNMn/oJLonO4kC2BYWixlfJBH/NKY7OubF14x7SqRyV1R8s0NPXk+L1l3dzw6qFo5JJCHF846ooZHIF9rf2UFkawZlWQ8eBdlQyi0rbqOoSqCrB2dlG0Gex/60DXPzJi+jo7CJ4cZjyYGnxdSxl4WiDQ9oAdHR0TUfTLH771kG8fh+t+yx8wRqCJQmcbJbML/sIB8NssbbTlekjoaXJajnKrBL8fovSO6qo6IlR4URY1rCE6snxIXdhGabBSy9sJzmQJTDFxGcaaBrkcuCV2RgaaOgQ0nFSNiEjSJ0vTmuuiz/0v86Ak8RA59LoXFZVLsHUT/xP7yqXA9kWdmcPoqFzpX8OparsuHclDce+Xe2UlIaGtJWUhTiwu2PI6m5CiNE3roqC5w1OD1HIFdh/uItoOEDAMnEcj4DPJKgbODWl5I70kkvl2LFxN2aFRbAWVH4rZjCLUhWUzS6D5xS27eD3D14odbIuPYEwVVjQlqI0GCCp5emzI8QCeZywzaEN7Qz0leCk42QrPAp1GXK5HsweH6Zn4lWk+MT0y6mtP3aMRk9ngr7uJBVVMbxCAS2q48YUnueRc120cg/NAAoaM2fOoMZXwc7MftZ2/x6AoO7HwePlgTfJenn+tObG4x4jpRQv9m1hb7aZ4NEV3Z5ufYkpxgSuLbnslB/g7a19vLFpH92dA8SrS7j0qun4/SaO62GYH0yz4boels84ySsJIUbDmX31u0CFAhZef5rXXnyT7o5u2g620t3Wg+O6+MjgBg+iX9RL/NoOXJXDMDSq5+iURbbRv/NdnEwaTTtI2YRtlNwQpFvvo9lppaWznZ7+HOakGJMrqnBsl5JABFMHQ/Ph18oIRUpJp8roz2QIBHQiPZXYLRZ55eLW2vhrDcr6ynn3l220HOo5JrttO3D0A7kkG4OcjlfpomkKzVHgKVSfi9OoceNl12FoBi/3v4nCI2IEMTQDv2ZRYkTYlt7FgH38BXy67F72ZQ9TaZUTMUJEjBDV/gp2pQ/S6wwc9znvaz3cw1M/fpWOtj58fov2lj6e+pdN1E0oZ6A3jTp67ef9wW0XXzpZzhKEGGPG1ZlC+8F2UtteJ+cGKBhhHKVQnoPfKhCs7qeQDxDx29jJHGZ1jrIJU6i8aj9p3SPTl6NvVxdlC+pIOJ1UfCJAfl41hUQeTwfbNqlsLqPEFyUYDpDOZdENHZ9m4dM1BhIKvUTH8VxaewYwSgp42HjdJlZEI+PL4QQLBEImWzbtoX7i0DtzKuIxDEPHLjjofo1CwoEK0OrA1C38OY1oeQSnXNHp9lJPNX1O4pjpsg3dwHU8+pwEJdaxF5u6C/3A0MGF+tF5jHrtgWPmUPqw1/+4m0DIKs6VZJWGSCayDAxkmHPJhMFptXUNTylmzq1jweVTz/BfclAhb7P9zWZ2bW9B02D2xRO4aMFELJmuW4gzNq7+et55bRO5rh5KewzMhkqMyRqT5xyhYuIAmUSQtr3VlOn9tL9nEKmCVPBdnFAKKxUgFHbJ9qXR3HYyrk61z0ErqcaJuTjKIVMoUDiURylomF3Pu5t34mgOmmWgDWRx/SbGZTZeIIfp06AkB20mZCzcnI4dc9gbaOaI103wUIhwDywqnU/YGFwRLV2wufjKKWx5ZTft01tIB1KohIGv1MBXC1EjTMQI0e8mcRgci9Dgr+Lt1G5CeqB4DPJugYDuJ2Ye/66fgOHnuN/dlXbcRYWKv1aKjrb+4jrM7wtHAnR3JPjsnVez8KppJPuzREuClJSd2V1H73Ndj+fWvkHL4R5iJYPTdW96cSdtR3pZ/tlTd3MJIY5vXBWFZL6dVKeLphRlyf1MXZilYAbIZAMEwgUu/+R+3JZSkm8GyduKgWyBQsbCRMPChzJ10Dx0zUEx+OFnagamZpAz8liTU7Q29xMLBZm8cBrv7NlLIF8gNi1GV0Ma13LxEgZe2MMMa+gVDso2sLMuynbBp7ANFyte4M3UeyTcJIv9i1i/cSdd/YMzkeanOmg1iho7TltZB4GYjkKRcNOARlQPMyFQC8D1ZVfyXno/A06SoB7AUS55ZXN5ZB4lRoS8VxgcS/GhD9AGfzVBI0DCSRM9uhhQv50kagap88ePOabv0zSNsvIwuWyBYOiD6Sxy2QKlRwtASWn4jG9B/agjzd20Hu6lsuqDNSri1TEO7e+is22A6rrSEdmOEOPNuCoKE+dXk+15CzuvmL0shd3mYadsaq/Ng2MQ8EVgYp5CTTXtr/ZjlPs58HqQukt7cDMaappO1nHRNJc9aZOgXsDxXHqcfgrKJlCdJRr143VOYFJJNbOuLOVN3xscONIPgSxaR2DwA8xlsH/dUBgVOVT74DTXuq2h8h6+RhhwUnTmevnRK69jOj7ipYPTWR8wO8g4inmT6+hJd5HwUqAGPxQ1YEnZZVRbg11PNf44f1X/J/ym5yVa852EjQDXRBYS95Xxo87fkMplcPtgYqKB+fUzmDAljs+wuLHiWl7s30K33QdoTI7U0Bi5BFM7+dvl0kUzeOHXb6DrOv6ARS5bIJXIcvV1c0f837K3Ozk4nfmHClpxAaO+tBQFIc7QuCoK9fGL0czncPo9QrUOmU4dXI2BPQaxqS57nnPo3mVxYE8e3fRjtBY40GKQ7QtQ/7ks4QqFocPedBXdtg+NTjwHPFuBrhHyh8nFEuTLjzC9vI5nujfRX0hCJIfu8/DV5yi0BlAu6AEFpofmB81y0DyF50DwUo98LEvW8TD6QxipCNPiJcV9iJphurwO3ujajRv0COshCp6NQlFulRIxQkM+KCcEavhi/Z9Q8Gx0TWN7ai+vJbZhpk3adg1gGzaHfR3sf76DWdWTWHrzQsqsEm6uvJ6km0EDptRU0919/AvTHzZtVg3eygVsfmU33Z0JIrEgn161gKkzR37G22gsxHF7iDQIR/zH+YUQYjjGVVHId/uIlJTi5HrJtBlYMQ87qZE8bHHkt2GyWQvCBoYGakBhR6PokwJ0RUtoP+JR0ZykcmEQjVr8DJBx8nh5DV0ZmMkQyYJGSY3GQCjFzzufw1OKKGH6nCxYLprPwxfP4xR0vBTozuBaAprhosKg+3Vcv4urXFDQnUtQpzUM2YdYoQzb52A7OcLa0em0Df3oQjuwK3OQq0rmH3OB2adbOMrl7dQuSo0YO/cdwbIMgpaPvJnHnpql+Z1ODuzpYMacOjRNK153GG7/vKZpzLyonulz6nBsB9MyhzX19pmYNC1OSVmEvp7U0esTg3c0VcRjMhW3EGdhXBWFQCQAtkk4XErLH2zm/HkKQ9dINOuk2g3CUzV6u8oxfRFsXxa9NYHdn8U7UoCcj9REA703RrTcosQpI+N0Yjo+grkwdp9NLp0h26EI1TuQ9/C9qkgcyuMGCnClD32BiRZ00E0N3sqDqzBKTTxcsBWeCWq+hdIUBjqU5lC6Q9bJkfBSg+s2WCZafwRrdhYHD+W5BFwfpcEYBVWgoGxONOlHwbNxlIOTt7Btl1B48MKx6ZrkfXmqQj7272pjxpy6szrOuq7h85/bSQ0ty2TV7ZezacNODuwZXJtj+uxarloyG90YV3daCzGixlVRqJlSTUlVjEPvHsHpDbLnxyY1n0pDRMfTdToPB8iVaaCloDeNlnNRET+uFoR302SPaOhz8+SjfTgJH5rfwHJ8ZFoyKEehbA/bUqReS8DWHGbYJFIdIZjxSK9Lo+wg2sUBGFBQUOhlGsbRi9i5UAHaXOj0CNQGKDEjFDybkukuW7ftQ/c72PEBnEAeX4WGYXnktqXxXs6RGfBIlfUQuj7KpEULMbXjDwoL6D6CRgBbswH1/gqeFAyH8nQpruPhD5zbD/ORFIkGuaFpIY7tggamKYPhhDhb46oo6IbO7X9zC4/85XexQyaHe0s49Js6NCePqafR63X8Rhq/l8UNu6iwjirXKeRNzHIHrw/0dBbXs8hZWWIDcVw9S07PAhqO4aCHdPQ/Onh+hVsPKStHxBfA0V0Kr2cxZ5dg5Ao45To6OkqBpyl0v46vVadhdhzLHyTvFdB0nWxVN/OuqmB/sgXdUMRDMbJWiv53Uti/TmGWWejVJrlMFn7uMmFiHCpPsP+azpXRi/md8xq+Up1sKoceHlxduby3gmzBZuZFDcd/8hhmWlIMxNjUl8/ySlcze5LdxEw/V8cnMbskPqZvmR5XRQEgFI9ixGN4zd3oBQeVt9HmWegZDW13Ht2wyabBTen4yhS10/vItekkdvrQagyiKodplVEZrsTYU0+2vwenxCPnz6AlLMyNBirroK0IoNUYuBokdRtjn4n1rktdJEohmWGg4GJVWnjKw9AMvDYHpzXLgGmTaXbA0Skp86HCBiWVJqGQR4U2eAdSquCiv2JjlloYQQNd04lEQwRMHzuf28m8+bNPuP/TQhMJGH5eYzvv7N6P1m5S3l1GoeByzafmUttQdh7/NYT4+Boo5Pg/+7aQdQqU+oL02Tn+pfltVtbP4srKiaMd74TGVVFIdCf40Td+iaMUoNCTeUjk0d7VocLAcm10PDRP4/11Z+weRajaBR28nMv8CT60aIZ3CGJM76HvRRtndwTSAYI5GzPZRa4pgJdWmG06numhV5j4Z1gEu0LMr5qNVgmv/3+v0b89CZUaZtIi1GbizSrD04JENAM9rLAHNI68B2XXFACt+O3CcV3o9QjWBQjpAUqswTETGS1LT3vfKY9Dvb+aW+qr+Uzt9XR3DlDIOVRUxQiGZMEbIUbKG72tZJwCNcHBv0+/YRIwTH7fvo+FZfX4jLF5hjuuisK7r+wklc7hZvODK5wdPYPTki4kHaLzHIJxDyevkdxn4CQ0kocMQjUOylFEJ+voVRoDTjuGVsVFU+qoj6V4+/HtRDM+8i1JEpMKENbRkx4oD1/IxGf7yCub0PVx3szuxMJAuz1EeBMUtqeJBcMEb4iSLY0SCOnYnkNJvoLKQhVv2gdoP5yDBgYX6NE0LMPEq/PjJl0C5X40NArKxkrp1EyL4ylvWDOa6rpGVU3puT3oQoxTzek+wubQL1o+3cBRigE7R9wYmYGcI21cFYWu5i4ioQCFtn5wFJp29D6drAKlkevWCdd7GAqiM1wyh3ScXg03rQjX5Sm/1Ecy1Y3tL2eqXU/nK23k+/uYvNijtz2BegvsrI3hC2HFfbh5FyNo4uke2iSTSE2UoB5gV/YAnl/RsLyaKZ9pIGgE6Muk2Hmwk8tzV5FOF4qZp8Xq6OzrJDIpSLfdh4FBg7+alutcsv/Sh6vbZMIe+WQOq2DSfHkv/9z+a+aEp7IwMmdEl9oUQgxfVSBMS2aAqPXBuBlXeWhA2By7f5fjqijEJ8Xpf3ozyh0sCBoMnjE4gAaZwzpl88DwKzQdAiUu4Rk2dsYgrYIMtAQIb7Hx3vYxsOFFgpUeVl2eRFbHnKBT86UyzNYK+iMephdFw0IzwY6kicZM6gJVhPUgnXYPrueR92xyXgGfbhGy/Li6g+t6QzIrR+e6SQuYU13GkUI7XYU+FPDJqy6ntaKNd3+7A6e9gDHBpPaTddRMqcHFY1tyN0knzafLF53x8bI9hwO5I2xpTUBWZ3pwIqVW7NRPHKOUUjTv62Tb1gOkkjkmTa3iksYpRGPB0Y4mPoYaKxp4o7eVhJ0javqxlUdnLsXV8UmEzLHbVTuuikL9JZPo7uhHG7yk8P7/GaQUKg+9bxqEazxMnwcO9O/zwyfCpGeW4KU9eg/5UDv60DyHzHYHI20RXmhgv+XQvr0fo0IjX+Ynv9DFqg2jGQaFFBi5EvSohqNcbM8m6WYHp7tG4dMsqn0VTI/V074nSTjgw9YKNA90kirkmBTXMPVKLo9dPHSHLpvHTZfdwHvpvWzsf5sKXykAJgYVVikHci302QnKzuCDvODZPNv7RzrzvZSEQiSzWbaldrO0/Oohaz5fSN576xAvvbCdUMSPz2fy3luH2L+7nVvuuppwNHDqFxDiNFQFInx+6qWsb91FWzaFXze4rnoq11ZNGe1oJzWuikJrOkugqoR8RwKON8RLA2dAQ5UrXANS7X78cw2ceUHUYQ/SLlq/i+r2YKKBhofd7ZJ9Nw89OkYZGGUmZDSs3ysCU6Hqmgk020doS/TjlKUwLIWLi6FpoOlYmKS9LO2FHv7trDvoKs+zbtN29iVbCJcYXHRpjD5fD091/4FVFUuo8R97v2mfncTUh1600jQNHZ20mz2jorA320xHoZe4r4ywz4fl+Mm6eV4a2Mod/hVnvArbaLELDq/9cRdllREsa/BtXx636OlKsuOdwzRePWOUE4qPo0nhUu6ZfgV5zxmcPFMf+38346ooZHM2Xj4JPhcKg2sEvD+ZHCg0Y7BQlM+xad8awCjR0RtM3AJ4OSCvwNRAgVIaRHRwFYWDLkZAYaOwCzpeTMc1NZIH+8hc5KBVWGiaS8LO4ekOoAhofmp9lfh0H2V6DFMziPiCzLl0AgcDuynLxSj1R4p3HKXcDK8l3uHm+HXH7FfcKuO9zL4hbUopPBQx88QLdJ/MgWzLkCm3AYKGnx67n4STuuC6kVLJHI7jFQvC+4JBH22He0cplRgPNE0jYIzdawgfNa6KQpmhYwZ7iNS72P06bkEbHDxWGDxvUK6GEfBw0cj2GuCCL+vhZM0P7lTyaVBpQMKDnAdoKI/B21irFM4cA63KAkeDORpOrEDQCVLocnAKeagBPahjagau8pgSqMfQDPqcBNrRjbQ73cQ+VBCA4rWI491ZNDlYz1upnfQU+omZEVw8Ek6KueGpJ1w34VQCegBX9Q9pU2qwaFoX4MXrYMiHpoHnekOmwcjnbUorxuZdIEKMhrF/LjOCSnxdVC/M4I95KDT0AFhRj3CDixn8oDvp0LoAmq7hFqD/jxpOj4KwBroGnoJLQ2gxHfewQu/1MEo1qFA4F/nwKk20HgPVo1BphQpopHd24f6qA+/JJO53Erib85iYuHj0OgMMOEkmBeqKi9iUGFHyXmFI9oKyB2dAPc4SOD7dYmXlEi4KT6OgCuhoXFOygKtLFpzxsZoTnkJeFXDU4II9Sin6nAQTAjWEjQvvwmwg6GPOJRPo6UriOO7gwkWpHMpTzJ0/abTjCTFmjKszhVgllEx1aF4fxElroA+e2nk5hW4CSiPbbh3tVmLw/2cd3F9msW4NoU20UHnQMx7eYQeyoAcNGubE6O3Lk/ZM9GZFIKRhewo1JYC3v4AW8zCm6BjouAUP9/kM2ao0vukm3YU+5oSnDfkAXxCdxQu9mzA1A59uYXs2A06KJaUnXlEsbARZVLqARSw47u9PV60vzjUlC3l94B0K+TxZx6bOF2dxyWUj8vqj4aols7F8JtvfaMZxXMorInx61YJjVosTYjwbV0VB91XTv8PCDHvk+zU8W0PTB7uNNN/RW5IUH1xnUAo8MA7m8P6Ph97gJ+SzcA/n0SJ+9Ct8VFeE8eUCVKtyms0+lFKUzighXB+h10nQsy8DcR3l6ni6AguskIWxzSM+p5wrSy7h6pIFQ7qEpgQaWFJ6OVuS20nZaSzd4pqSBcwKnb+7FjRN46LwdKYHJ6LFXNJ9NqVmdEzP2XIqpmlw5bWzuGzRdBzbxR+wLuj9EeJcGFdFIRiooX+PHzfH4Ae/0lA2KH3ww/+D21Q/9EHx/n/2FQh4BlqFRumnSkm0daFdbNE91Sa6N4V/p074YJj8JwzMKX6ytk2mxYCAAV2gMjqO7hEMWVg+HSdt0+Cv4fLYvGOuEWiaxuzwFGaGJpHzCvh165j1Ec4Xv+4jHozSlUqOyvbPBdM0ZEZVIU5gXBWFXLJA9w4NDY1QnTPYXdQxeMEZ5wSXV9RgN5NuaJQ3lDMwMYseyBMo11D7PGILLJLzDEr0FHPwkwrVEvbHONjWjWe7aCkdd6NL0Ixg2xq64+Hm0sy4fiZN8U8WryMcj67phAy5f14Icf6Mq6Lw1u+2YVga0ck2wbhH306LYJWHm9fItn/0m+OHxjF4oJlglJqDZxWqgC8cINObI1yhYVo+SuJh/G1JLq+6g0JPmrde7SLiRom0RejuPECGNFbIIt/vUHO5xpLFBnnvAEF99hl1YeS8PNtSu9mTaUbTNOaEpjIvPANLH1f/pEKIETauPkFa9rRSd22O5CGDTLuBm9HQ/WAGFUbQw82+f7Yw2IWkUMXeI89RJNoT4FPoloaX0CiZF0Z5ikLe4WBbFF9/nJTXSfM7zZALEwwF0GMatQvmMNDZgWMlKZ1eyp98oZJA0Ka58GsKaoBq31WntR+uclnf8wpddi8lRgQFbE5up7PQx9LyRdJPLoQ4Y+PqllQVKFC5sIByB283VUfHGDgZDX/ph0c4D04/8eFrC8qDgeYBnL15BjY7YLpMaIoTnxSnYJbgJ8bk+gbipRG8TB7PNBg4euujFQxQeVEJ4TkxPnljPdFQCEuLENCq6LA3kS6kyOQKxXEAp9KS76TL7qXSKsPSLXy6RaVZxqF8K932qafOFkKIExlXZwo7D3UTXwDxS/P0bPeT6/Zwc4MFwRfzyLQd7ULSQFMf6kB6/xZVBVVVlSS0FLGlEdLlWey8ht4epiYYJ2TUAhCJhnCyeTQD0p6HpsDz8tTV2Eyf+kEdtgsGm982eKH1ZQwCVJfHuH35QszjjEX4sP4PDXQrRtQ0NKUx4KaIIwvXCyHOzLgqCkfa85i7TMpmOPiiecpnafTusNAMSOz/4FBoxuDdqLiDtcAwdJRSaLpG0AwwcfoEKgcqmVpaDWmPFzNJyssqef/Mon5GLX1b9lGm60wrCTOQyhIIJ7j4UwaGMfgYpRSvvObQ0mEwvTKGofnoT2X552de50+uW0Ak5D92B46KGZGjZzIfUEqBpogYoZE+bEKIcWRMdB89/fTT3Hjjjdxwww386Ec/OmfbKThZDq4Nk+00iNQ7lM+zmX57Bn+pR77v6KHQFcrjaFXgg+kt0LACFplkFq2gmBhroDG2iPnxqwhaEfIFt7idWGWMmll11EVD5DsGaCiNcsMNtxErjVHwBgZHBw84tHRmqC2vxNT9aJpGLBwgX3DZfbjrpPtR76+mxIjSZw/gKQ9XufQ4/VT7Kqiy5CxBCHHmRv1MoaOjg0cffZRf/vKX+Hw+7rjjDq688kqmT58+4tsy+7ooJHS2fSdKdJKDFfHItBvkuo92G/kUmlLofnDzRnHIgvIUps+ktKrk6GR4MP3SwYFklmlwwxWz+M0r76JndAxDJ1+wuWh2Azctnodp6MULvxm3gpbC78l4raRyfkJGDTFz6IA0n6nTn8yedD8s3eTGymvZnNjOvuxhdAbvPmqMXXTBzV4qhBhbRr0obNy4kauuuorS0lIAli1bxvr16/l3/+7fjfi2tL4cGICrkTz4/qRug2cEus8jWOWhmQqtykcuXYd9oBtNQdAyCEQDeI5HpCrEkjs/QWVDRfF1Z0yM82exRnYc7CSdzTOlroJpDZWYxtAP6JBRy/TAnXgUSFW5vKO9jufBhx+Wt13qKk89A2nECHFd2RUsKW0czC/FQAgxAka9KHR2dhKPx4s/V1VVsW3btnOyLcswcHwuqgC48MGlZIVVqvA8DccLYkxcSCwSJBcNES+4NEytIZfOUTu9hhv/ahkl8WM/tCtLI1y74NTTVGuahoGfkjA0zpnIa+82Ew36MQydRDrHlIbBgjJcUgyEECNp1IvC8W7DPJ377Csqhr9ewOVLGnn56U14Pn2wHDgauB5GAPRohNisicyZMYVUX5aAafLJ/3gT8xfPJdmbIlIapqy6dNjbGo7PfOoSZk6pYvO7zeQKDp+4bCqNcyYSDIy9qanjY3DSuLGYCcZmLsk0fGMx1/nMNOpFobq6mi1bthR/7uzspKqqatjP7+lJ4XnDu7//1ntv580N28jm03iOhhbQIGxhXDSD6+68nhuumEVVWYRCtoDpMzFMAxsIlMdwgK6ukZ//p7okwqqrLyr+HAxY52Q7ZyMej0qmYRqLuSTT8I3FXCOdSde1k36ZHvW+h6uvvppNmzbR29tLNpvl+eefZ/HixedkW5X15Ty09kEu/+RVlETLqKqs5uY//wyPffffcdeyy6guH5wF1B/yY8iEaUKIcWhMnCl87Wtf4+6778a2bW677TYuueSSc7e9yVX8uye+CIzNbwVCCDGaRr0oADQ1NdHU1DTaMYQQYtwb9e4jIYQQY4cUBSGEEEVSFIQQQhRJURBCCFEkRUEIIUSRFAUhhBBFUhSEEEIUSVEQQghRNCYGr50NXT+7RerP9vnngmQanrGYCcZmLsk0fGMx10hmOtVraWq4q8ULIYT42JPuIyGEEEVSFIQQQhRJURBCCFEkRUEIIUSRFAUhhBBFUhSEEEIUSVEQQghRJEVBCCFEkRQFIYQQReOyKDz99NPceOON3HDDDfzoRz8659u7++67WblyJTfffDM333wzb7/99gkzbNy4kaamJpYuXcqjjz5abN+xYwe33nory5Yt4+tf/zqO45xRllQqxapVqzhy5MgZba+1tZW77rqL5cuX86UvfYl0Og1AIpHgnnvuYcWKFdx11110dXWdcaa//du/ZenSpcXj9cILL4xo1uH4zne+w8qVK1m5ciXf+ta3xsSxOl6m0T5W//RP/8SNN97IypUr+d73vjcmjtOJco32sXrfP/zDP7B69eoRPSaFQoF7772XFStW8NnPfpZ9+/adVqYh1DjT3t6urrvuOtXX16fS6bRqampSe/bsOWfb8zxPXXPNNcq27VNmyGazasmSJerQoUPKtm31F3/xF2rDhg1KKaVWrlyp3nzzTaWUUn/7t3+rfvSjH512lrfeekutWrVKXXTRRerw4cNntL177rlHPfPMM0oppb7zne+ob33rW0oppR566CH1P/7H/1BKKfWrX/1KffWrXz2jTEoptWrVKtXR0THkcSOZ9VReeeUV9bnPfU7l83lVKBTU3XffrZ5++ulRPVbHy/T888+P6rF67bXX1B133KFs21bZbFZdd911aseOHaP+njpern379o36+0oppTZu3KiuvPJK9Td/8zcjekz+9//+3+qBBx5QSin1+uuvq9tuu23YmT5q3J0pbNy4kauuuorS0lJCoRDLli1j/fr152x7+/fvR9M0vvCFL3DTTTfxwx/+8IQZtm3bxqRJk5gwYQKmadLU1MT69etpaWkhl8uxYMECAG655ZYzyvzkk0/y4IMPUlVVBXDa27Ntm82bN7Ns2bJjcmzYsIGmpiYAVq1axUsvvYRt26edKZPJ0NraygMPPEBTUxPf/va38TxvRLOeSjweZ/Xq1fh8PizLYtq0aRw8eHBUj9XxMrW2to7qsbriiiv453/+Z0zTpKenB9d1SSQSo/6eOl4uv98/6u+r/v5+Hn30Ub74xS8CjOgx2bBhAzfddBMAl19+OX19fbS2tg4r10eNu6LQ2dlJPB4v/lxVVUVHR8c5214ikWDRokV897vf5fvf/z4/+clPaG1tPW6GE2X7aHs8Hj+jzA8//DCNjY3Fn093e319fUQiEUzTPCbHh59jmiaRSITe3t7TztTT08NVV13F3//93/Pkk0+yZcsWfv7zn49o1lOZMWNG8Q/14MGDrFu3Dk3TRvVYHS/TtddeO+rHyrIsvv3tb7Ny5UoWLVo0Jt5Tx8vluu6oH6u/+7u/42tf+xqxWOyY/TvbY3K812pvbx9Wro8ad0VBHWdSWE07d1PlLly4kG9961uEQiHKy8u57bbb+Pa3v33cDCfKdq4yn+72TjeHrp/+22vChAl897vfpaKigmAwyOc//3lefPHFc571ePbs2cNf/MVf8Dd/8zdMnDjxnG5/uMfqw5mmTp06Jo7VV77yFTZt2kRbWxsHDx48p9s+nffUh3Nt2rRpVI/Vz372M2pra1m0aFGx7VwfkzP5+4NxWBSqq6vp7u4u/tzZ2VnsujgXtmzZwqZNm4o/K6Wor68/boYTZftoe1dX14hkPt3tlZeXk0qlcF33mBxVVVXF5ziOQyqVorS09LQz7dq1i+eee674s1IK0zRHNOtwbN26lT//8z/nP/7H/8hnP/vZMXGsPppptI/Vvn372LFjBwDBYJClS5fy2muvjfpxOl6udevWjeqxWrduHa+88go333wz3/72t/n973/Pz372sxE7JlVVVUMuxJ/NZ8S4KwpXX301mzZtore3l2w2y/PPP8/ixYvP2faSySTf+ta3yOfzpFIpfvWrX/GP//iPx80wf/58Dhw4QHNzM67r8swzz7B48WLq6+vx+/1s3boVgLVr145I5tPdnmVZNDY2sm7dumNyLFmyhLVr1wKDfwCNjY1YlnXamZRS/P3f/z0DAwPYts1Pf/pTbrjhhhHNeiptbW389V//NWvWrGHlypVj4lgdL9NoH6sjR45w//33UygUKBQK/O53v+OOO+4Y9ffU8XJdfvnlo3qsvve97/HMM8/w1FNP8ZWvfIXrr7+eb3zjGyN2TJYsWcJTTz0FDH4R9fv91NXVnTLXcZ3xJeoL2K9//Wu1cuVKtXTpUvU//+f/POfbe/TRR9Xy5cvV0qVL1fe///2TZti4caNqampSS5cuVQ8//LDyPE8ppdSOHTvUrbfeqpYvX67+w3/4Dyqfz59xnuuuu654p8/pbu/IkSPqz/7sz9SKFSvUX/zFX6j+/n6llFJ9fX3qr/7qr9SNN96oPve5zxVf/0wy/fCHP1QrVqxQN9xwg/rHf/zHMz42J8p6Kv/tv/03tWDBAnXTTTcV//fjH/94VI/ViTKN9rH6p3/6J7VixQq1atUq9e1vf3tEt30276nj5RrtY/W+X/ziF8W7j0bqmORyOfWf//N/VjfeeKP6zGc+o7Zv335amT5MVl4TQghRNO66j4QQQpyYFAUhhBBFUhSEEEIUSVEQQghRJEVBCCFEkRQFIYQQRVIUhBBCFElREEIIUfT/B/EEqapOcqmXAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "plt.figure(figsize=(6,6))\n",
+    "plt.scatter(customers['Detergents_Paper'], customers['Milk'], c=customers['labels'], cmap='viridis', alpha=0.5)\n",
+    "\n",
+    "plt.figure(figsize=(6,6))\n",
+    "plt.scatter(customers['Detergents_Paper'], customers['Milk'], c=customers['labels_DBSCAN'], cmap='viridis', alpha=0.5)\n",
+    "\n",
+    "plt.show()\n"
    ]
   },
   {
@@ -250,11 +938,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 38,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "plt.figure(figsize=(6,6))\n",
+    "plt.scatter(customers['Grocery'], customers['Fresh'], c=customers['labels'], cmap='viridis', alpha=0.5)\n",
+    "\n",
+    "plt.figure(figsize=(6,6))\n",
+    "plt.scatter(customers['Grocery'], customers['Fresh'], c=customers['labels_DBSCAN'], cmap='viridis',  alpha=0.5)\n",
+    "\n",
+    "plt.show()\n"
    ]
   },
   {
@@ -266,11 +981,38 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 37,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x432 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:"
+    "plt.figure(figsize=(6,6))\n",
+    "plt.scatter(customers['Frozen'], customers['Delicassen'], c=customers['labels'], cmap='viridis', alpha=0.5)\n",
+    "\n",
+    "plt.figure(figsize=(6,6))\n",
+    "plt.scatter(customers['Frozen'], customers['Delicassen'], c=customers['labels_DBSCAN'], cmap='viridis', alpha=0.5)\n",
+    "\n",
+    "plt.show()\n"
    ]
   },
   {
@@ -282,11 +1024,373 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 41,
    "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",
+       "      <th>labels_DBSCAN</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>1.000000</td>\n",
+       "      <td>2.870647</td>\n",
+       "      <td>8988.701493</td>\n",
+       "      <td>2796.094527</td>\n",
+       "      <td>3487.164179</td>\n",
+       "      <td>2816.393035</td>\n",
+       "      <td>733.184080</td>\n",
+       "      <td>1002.089552</td>\n",
+       "      <td>0.472637</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.162162</td>\n",
+       "      <td>5694.540541</td>\n",
+       "      <td>15773.594595</td>\n",
+       "      <td>24499.594595</td>\n",
+       "      <td>1707.918919</td>\n",
+       "      <td>11545.189189</td>\n",
+       "      <td>2463.081081</td>\n",
+       "      <td>-1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.098361</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>10095.114754</td>\n",
+       "      <td>3965.016393</td>\n",
+       "      <td>4382.655738</td>\n",
+       "      <td>2816.426230</td>\n",
+       "      <td>1191.655738</td>\n",
+       "      <td>1127.754098</td>\n",
+       "      <td>1.852459</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.000000</td>\n",
+       "      <td>36847.000000</td>\n",
+       "      <td>43950.000000</td>\n",
+       "      <td>20170.000000</td>\n",
+       "      <td>36534.000000</td>\n",
+       "      <td>239.000000</td>\n",
+       "      <td>47943.000000</td>\n",
+       "      <td>-1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.800000</td>\n",
+       "      <td>25603.000000</td>\n",
+       "      <td>43460.600000</td>\n",
+       "      <td>61472.200000</td>\n",
+       "      <td>2636.000000</td>\n",
+       "      <td>29974.200000</td>\n",
+       "      <td>2708.800000</td>\n",
+       "      <td>-1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.880435</td>\n",
+       "      <td>8731.815217</td>\n",
+       "      <td>7392.771739</td>\n",
+       "      <td>11361.217391</td>\n",
+       "      <td>1475.260870</td>\n",
+       "      <td>4698.032609</td>\n",
+       "      <td>1449.652174</td>\n",
+       "      <td>-0.347826</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.048780</td>\n",
+       "      <td>2.780488</td>\n",
+       "      <td>39870.292683</td>\n",
+       "      <td>4916.853659</td>\n",
+       "      <td>5740.585366</td>\n",
+       "      <td>6566.926829</td>\n",
+       "      <td>901.268293</td>\n",
+       "      <td>2595.951220</td>\n",
+       "      <td>-0.536585</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>2.500000</td>\n",
+       "      <td>22015.500000</td>\n",
+       "      <td>9937.000000</td>\n",
+       "      <td>7844.000000</td>\n",
+       "      <td>47939.000000</td>\n",
+       "      <td>671.500000</td>\n",
+       "      <td>4153.500000</td>\n",
+       "      <td>-1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Channel    Region         Fresh          Milk       Grocery  \\\n",
+       "labels                                                                 \n",
+       "0       1.000000  2.870647   8988.701493   2796.094527   3487.164179   \n",
+       "1       2.000000  2.162162   5694.540541  15773.594595  24499.594595   \n",
+       "2       1.098361  1.000000  10095.114754   3965.016393   4382.655738   \n",
+       "3       1.000000  3.000000  36847.000000  43950.000000  20170.000000   \n",
+       "4       2.000000  2.800000  25603.000000  43460.600000  61472.200000   \n",
+       "5       2.000000  2.880435   8731.815217   7392.771739  11361.217391   \n",
+       "6       1.048780  2.780488  39870.292683   4916.853659   5740.585366   \n",
+       "7       1.000000  2.500000  22015.500000   9937.000000   7844.000000   \n",
+       "\n",
+       "              Frozen  Detergents_Paper    Delicassen  labels_DBSCAN  \n",
+       "labels                                                               \n",
+       "0        2816.393035        733.184080   1002.089552       0.472637  \n",
+       "1        1707.918919      11545.189189   2463.081081      -1.000000  \n",
+       "2        2816.426230       1191.655738   1127.754098       1.852459  \n",
+       "3       36534.000000        239.000000  47943.000000      -1.000000  \n",
+       "4        2636.000000      29974.200000   2708.800000      -1.000000  \n",
+       "5        1475.260870       4698.032609   1449.652174      -0.347826  \n",
+       "6        6566.926829        901.268293   2595.951220      -0.536585  \n",
+       "7       47939.000000        671.500000   4153.500000      -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 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",
+       "      <th>labels</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>2.819608</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>5.000000</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>0.092308</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>6.000000</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>5.000000</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>5.000000</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>2.000000</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>2.000000</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",
+       "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",
+       "labels_DBSCAN                                                        \n",
+       "-1             3795.003922       4356.800000  2080.470588  2.819608  \n",
+       " 0              720.200000       3561.000000   258.200000  5.000000  \n",
+       " 1             2131.430769        496.576923   741.946154  0.092308  \n",
+       " 2             1276.400000        416.200000   784.800000  6.000000  \n",
+       " 3              609.600000       5780.000000   572.800000  5.000000  \n",
+       " 4              994.000000       4675.571429  1826.428571  5.000000  \n",
+       " 5             1513.181818        333.954545   669.045455  2.000000  \n",
+       " 6             6780.333333        386.500000   613.666667  2.000000  \n",
+       " 7             2575.400000        227.400000   941.000000  0.000000  "
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "labels_mean = customers.groupby(by='labels').agg('mean')\n",
+    "labels_dbscan_mean = customers.groupby(by='labels_DBSCAN').agg('mean')\n",
+    "display(labels_mean)\n",
+    "display(labels_dbscan_mean)"
    ]
   },
   {
@@ -297,12 +1401,10 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "# Your observations here"
+    "From the scatterplots the kmean seems to be clustering with more readability."
    ]
   },
   {
@@ -364,7 +1466,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -378,7 +1480,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.10.2"
   }
  },
  "nbformat": 4,