diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 9a2d1ae..13d7da4 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38,7 +38,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -67,20 +67,725 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "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",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>435</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>29703</td>\n",
+       "      <td>12051</td>\n",
+       "      <td>16027</td>\n",
+       "      <td>13135</td>\n",
+       "      <td>182</td>\n",
+       "      <td>2204</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>436</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>39228</td>\n",
+       "      <td>1431</td>\n",
+       "      <td>764</td>\n",
+       "      <td>4510</td>\n",
+       "      <td>93</td>\n",
+       "      <td>2346</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>437</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>14531</td>\n",
+       "      <td>15488</td>\n",
+       "      <td>30243</td>\n",
+       "      <td>437</td>\n",
+       "      <td>14841</td>\n",
+       "      <td>1867</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>438</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>10290</td>\n",
+       "      <td>1981</td>\n",
+       "      <td>2232</td>\n",
+       "      <td>1038</td>\n",
+       "      <td>168</td>\n",
+       "      <td>2125</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>439</th>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "      <td>2787</td>\n",
+       "      <td>1698</td>\n",
+       "      <td>2510</td>\n",
+       "      <td>65</td>\n",
+       "      <td>477</td>\n",
+       "      <td>52</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>440 rows × 8 columns</p>\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",
+       "435        1       3  29703  12051    16027   13135               182   \n",
+       "436        1       3  39228   1431      764    4510                93   \n",
+       "437        2       3  14531  15488    30243     437             14841   \n",
+       "438        1       3  10290   1981     2232    1038               168   \n",
+       "439        1       3   2787   1698     2510      65               477   \n",
+       "\n",
+       "     Delicassen  \n",
+       "0          1338  \n",
+       "1          1776  \n",
+       "2          7844  \n",
+       "3          1788  \n",
+       "4          5185  \n",
+       "..          ...  \n",
+       "435        2204  \n",
+       "436        2346  \n",
+       "437        1867  \n",
+       "438        2125  \n",
+       "439          52  \n",
+       "\n",
+       "[440 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here:\n",
+    "customers"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "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": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.isna().sum()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "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": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.dtypes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "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": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.describe()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x20d596893d0>"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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xJ/bGzGjbviObNm1k7ZocGjZqXKTdfm1KjqoWN2v6f+l+fK+qKnWXLf7iS1o0a0qzpk0A6H1CT96bNbtIQH1v1mxO7R36OhzcsQO5GzeSnZNDWuPGZZ1WREQkEKySA6qZJQKPAL2AFcB8M5vi7l9sb+Pu9wD3hNufCvzN3ddGnOa4yhyA2/3HiCuRmbU0sy/N7FHgY6C5mV1nZvPN7HMzuy3cro6ZvWFmn5nZYjM7J+I0Q83sYzNbZGbtqrsPa3KyaZyeUbjeuHEaa3Kyoz7P1l9/5eP58ziq+3GVWV6lyMzOJiMjvXA9Iy2NrOyi/2aysrPZu6w2Zlx21dWcc/ElvPLalCLHjX9lImeefyG33DGKDRtyq64TIiIiZUlIiG7ZuSOApe7+vbv/BowH+u2g/bnAi5XQkzIpoO7Ynmb2aXiZFN7WFnjW3f8Q/tyG0F/sIcBhZtYd6A2scveD3b0j8FbEOXPc/VDgMeDa4hc0s8FmtsDMFowZM6b47gpz9xLbjOh/Evto7mwO7HhQ4Kb3y1L8h81Svw7hRs8+/igT/vM0j947mvETJ7Lgk08BOOeM/rzx8nheHvsMjRs1YvRDD1d53SIiIsWZJUS5/J4twsvgYqdsCiyPWF8R3lbKta02oZzzasRmB94xs4WlnHuXaIp/x4pM8ZtZS2CZu88LbzoxvHwSXq9LKLDOAkab2V3AVHefFXHOieE/FwJnFL+gu48BtidT/2rVmgp34o1Jr/LfN0Ijga3btSMnK7NwX05ONg13YVp71nvvckwAp/chNBqamZlVuJ6ZnV1i6j4jPZ3VJdo0AiA9LdS2UcMGHN+9O4u//JLOfziERg0bFrY/s9+pXHHt36uyGyIiIqVLiG5gqVi2KE1pJyw5khNyKjCn2PR+V3dfZWbpwH/N7Ct3nxlVkcVoBDV6myI+GzDK3Q8JL63d/Sl3/wY4jNADVqPM7JaIY7aG/8ynmn5AOPn0M7n/ybHc/+RYjuzanffeeQt35+svFlOnTp0S95/uzKaNG1ny2Sd06XpMFVVcMR0ObMeyFStYsWoV27Zt4613p9OjW7cibXp068rrb4W+Dp8tXkJqnbqkNW7M5i1b2LRpMwCbt2zhg4/m03q//QDIzvn9NoH/zZhJm/1aISIiUu0sIbpl51YAzSPWmwGrymg7kGLT++6+KvxnFjCJ0MxyhWgEtWLeBm43sxfcfaOZNQW2Efq6rnX3581sI3BRLIuMdNiRR7Pgww/4y3lnU6tWCkP/fmPhvpHDrmHItcNo1DiN11+dwKTxL7Bu7VquvOQCDutyFEOvuwGAebNncEjnI0jZc89YdWOHkpKSGH713/jr364hP7+A/qecTOv9WjFh0msADDi9P8ccfRSzPpjHyWcPJCUlhdtvDPVt7dp1XHXDcCD0NoA+vXrR7cguANz3yGN89e1SzKDJPvtwy/Ul7tAQERGpcpX9kBQwH2hjZq2AlYRC6KBSrrsXcCxwXsS2OkCCu+eGP58IjKxoQVbavXgSYmYb3b1uxHpLQlP2HSO2/R/w5/DqRkJ/aa0JPelWQCiw/tXdF0S+ZsrMOgOj3b3HDkqolCn+eNKuSSO2rsnaecPdSK1G6TtvJCIiQROzt+UvGjk0qvDW6ZaHdlqrmfUF7if0mqmn3f0OM/sLgLs/Hm5zEdDb3QdGHLcfoVFTCA3QjXP3O6Kpr9R6FFADTQG1BlBAFRGJSzELqItv/7+owlvHmx+Iu189pSl+ERERkXgS5UNS8UgBVURERCSO6FedioiIiEiwVMGvOg0aBVQRERGReKKAKiIiIiJBYgmJsS6hyimgioiIiMQRS9A9qCIiIiISJHpISkRERESCxPSaKREREREJFI2gioiIiEiQmJ7iFxEREZFAUUAVERERkUDRFL+IiIiIBIkekhIRERGRQDGNoIqIiIhIoOhF/SIiIiISKHpISkRERESCRK+ZEhEREZFg0T2oIiIiIhIkGkEVERERkWDRQ1IiIiIiEiQaQRURERGRYKkBAXX3HyMWERER2Z1YQnRLeU5p1tvMvjazpWY2rJT9PcxsvZl9Gl5uKe+xu0IjqCIiIiJxpLKn+M0sEXgE6AWsAOab2RR3/6JY01nufsouHhsVBdSAa9ekUaxLqHa1GqXHugQREZHgqvyHpI4Alrr79wBmNh7oB5QnZFbk2DJpil9EREQkjpglRLnYYDNbELEMLnbKpsDyiPUV4W3FHWVmn5nZm2bWIcpjo6IR1ID76dVnYl1CtWpx5sXk5ubGuoxqlZqaypafl++84W5kz32ax7oEEZG4ZYnRjS+6+xhgzI5OWdphxdY/BvZ1941m1hd4DWhTzmOjphFUERERkXhS+Q9JrQAiRw6aAasiG7j7BnffGP48DUg2s8blOXZXKKCKiIiIxBEzi2oph/lAGzNrZWZ7AAOBKcWuubeFT2ZmRxDKkGvKc+yu0BS/iIiISDwp56ujysvd88zsCuBtIBF42t2XmNlfwvsfB84C/mpmecAWYKC7O1DqsRWtSQFVREREJJ4kVP6L+sPT9tOKbXs84vPDwMPlPbaiFFBFRERE4oh+1amIiIiIBEslT/EHkQKqiIiISByxyn9Rf+AooIqIiIjEE03xi4iIiEiQmKb4RURERCRQNIIqIiIiIkFiVfCaqaBRQBURERGJJ5riFxEREZEg0XtQRURERCRYNIIqIiIiIoGiEVQRERERCRI9JCUiIiIiwaIpfhEREREJEv2qUxEREREJFt2DKiIiIiJBol91KiIiIiLBohFUEREREQkSS0yMdQlVTgFVREREJJ5oBFVEREREgkT3oMpuZ/433/Po1HcpKCigz+EHM/DYo0pt9/WKn7nysWe5cWA/undqB8DGLb/yr4lv8mNmNphx7Zl9ad+iaXWWX25z585l9OjRFBQU0L9/fy666KIi+92d0aNHM2fOHFJSUrj11ltp164dW7du5dJLL2Xbtm3k5+fTs2dPLrvsMgAeeOABZs6cSXJyMs2aNWPEiBGkpqbGoHfRm/PhR9z98KMU5Bdw+sl9+NMfzy2y/4dlPzHirnv48tulXHHJxVw4cECMKhURkZ2qASOou38ErwJm5mb2XMR6kpllm9nU8PppZjYs/PlWM7s2/Pl9M+scm6ohv6CAh6a8w50XDeDJqy7lvc++YFlmTqntnnzrPQ5r06rI9kenvkvnA/bj6asH88TQP9EirVF1lR6V/Px87rrrLh588EFefvll3n77bb7//vsibebMmcPy5cuZNGkSN954I6NGjQJgjz324PHHH+fFF19k3LhxzJ07l0WLFgHQpUsXXnrpJcaPH0+LFi145plnqr1vuyI/P59RDzzEI3fdycSxT/HW/97jux+XFWmzV71Urr9yCBecc3aMqhQRkfKyhISolnKd06y3mX1tZku3Z5hi+/9oZp+Hl7lmdnDEvh/NbJGZfWpmCyqjjwqou2YT0NHM9gyv9wJWbt/p7lPc/Z8xqWwHvl7xM00aNWCfhvVJTkqkx0HtmfvltyXaTf5gId06tKV+3dqF2zb9upVFPy6nT+eDAEhOSqTuninVVns0lixZQvPmzWnWrBnJycmceOKJzJgxo0ibGTNm0LdvX8yMTp06kZubS05ODmZG7dqhfufl5ZGXl4eFf1I98sgjSUoKTTp06tSJrKys6u3YLlr81dc0b9qEZk2akJyczEnH9+D9OXOKtGnYoAEd27UjqQbceC8iEvcsIbplZ6czSwQeAfoA7YFzzax9sWY/AMe6+0HA7cCYYvuPc/dD3L1SBuIUUHfdm8DJ4c/nAi9u32FmF5nZw2UdaGYJZjbWzP5RxTUWkbM+l7S9fp+SbrxXKjkbcku0mb3kG07p8oci239e+wt71anNPa++wV8eepp7J05jy2+/VUvd0crKyiIjI6NwPT09vUSYzM7OZu+99y5cz8jIKGyTn5/PoEGD6NWrF126dKFjx44lrjFlyhSOPvroKupB5crKzmHvtPTC9Yy0NLKy18SwIhERqQgzi2ophyOApe7+vbv/BowH+kU2cPe57r4uvDoPaFapnSpGAXXXjQcGmlkKcBDwYTmPSwJeAL5x95uqqrjSeCnbin/bPvrGu/y5dw8Si00J5BcU8O2q1Zza5VAeH/onUpKTeWnGvCqrtbIV/wfqXvKrsb1NYmIi48aNY9q0aSxZsoSlS5cWaffUU0+RmJhInz59qq7gSuSl/M3XgNuXRER2XwkW3bJzTYHlEesrwtvKcgmhgbrtHHjHzBaa2eCo+1MKPSS1i9z9czNrSWj0dFoUhz4BTHD3O0rbGf6LHQzwxBNP0LtRcgUr/V3aXqlkr/99xDRnfS6N6hV9yOfblau5c/xkANZv3sL8r78nMTGBA5s3Ia1eKgc2bwJA947tGD8zmAE1PT2dzMzMwvWsrCzS0tJKtFm9enXhemZmZok2qampHHbYYXzwwQe0bt0agKlTpzJ79mwee+yx8v5UGnMZaWmszv59BDkzO5u0xsG8f1hERHYu2qf4I7NF2Bh3j5yiL+1/aKWNa2FmxxEKqN0iNnd191Vmlg7818y+cveZURVZjEZQK2YKMJqI6f1ymAscFx55LcHdx7h7Z3fvPHhwpfwQUqht031YmbOWn9f+wra8fN7//AuOOrB1kTbPXfdXnr/+cp6//nKO6diWoaedSNf2B9AwtS5pe9VjeXhq+JPvfmTf9GCGnPbt27N8+XJWrlzJtm3beOedd+jevXuRNsceeyzTpk3D3Vm0aBF169alcePGrFu3jtzcUIj/9ddf+eijj2jZsiUQejPA2LFj+de//kVKSjDvvy1Nh7Zt+WnFSlb+/DPbtm3j7f+9z7FxcnuCiIiUwiyqJTJbhJfi94+uAJpHrDcDVpW8rB0EPAn0c/fCe8XcfVX4zyxgEqFbBipEI6gV8zSw3t0XmVmPch7zFNAdeNnMTnf3vCqrrpjExASuOO1EbnjmJQrcOemwg2iZkcbrH34CwKnF7jstbsipvRg14XXy8vPZp0F9rj3r5B22j5WkpCSuu+46hg4dSn5+Pqeddhr7778/r7zyCgBnnXUWXbt2Zc6cOfTv35+UlBRGjBgBQE5ODiNGjKCgoICCggJ69erFMcccA8Ddd9/Ntm3bGDJkCAAdO3Zk+PDhselkFJKSEhn2f0P563XDKCgooF+f3rRu1ZKXJ78OwNn9TiVnzVoGXXY5mzZvxsx44ZWJTBz7FHXr1Ilt8SIiUlLlz+DNB9qYWStCD30PBAYVvaS1ACYC57v7NxHb6wAJ7p4b/nwiMLKiBVlp9+LJjpnZRnevW2xbD+Badz/FzC4COrv7FWZ2K7DR3Ueb2fvhNgvM7DbgAOCP7l5QxqX8p1fj41VGlaXFmRcXjmDWFKmpqWz5efnOG+5G9tyn+c4biYgEW8zu8/rl8/lRhbf6Bx2+01rNrC9wP5AIPO3ud5jZXwDc/XEzexI4E9j+nsI8d+9sZvsRGjWF0MDnuLJuY4yGAmqwKaDWAAqoIiJxKXYBdfGC6AJqx87x8dBEBE3xi4iIiMQR/apTEREREQmWcv52qHimgCoiIiISR+LlNYcVoYAqIiIiEk80xS8iIiIiQaIRVBEREREJFgVUEREREQkS00NSIiIiIhIoGkEVERERkSCxhMRYl1DlFFBFRERE4olGUEVEREQkSHQPqoiIiIgEi96DKiIiIiJBYgma4hcRERGRINEIqoiIiIgEiX6TlIiIiIgEiwKqiIiIiASKpvhFREREJEj0kJSIiIiIBItGUEVEREQkSPSQlIiIiIgEiwKqiIiIiATJ1qRaUbXfo4rqqEq7/00MIiIiIrJDZtbbzL42s6VmNqyU/WZmD4b3f25mh5b32F2hgCoiIiJSg5lZIvAI0AdoD5xrZu2LNesDtAkvg4HHojg2apriD7gWZ14c6xKqXWpqaqxLqHZ77tM81iWIiEjNdQSw1N2/BzCz8UA/4IuINv2AZ93dgXlmVt/M9gFaluPYqGkEVURERGQ3ZmaDzWxBxDK4WJOmwPKI9RXhbeVpU55jo6YR1ID75pHbY11CtTpgyM3k5ubGuoxqlZqaWiP7vOi2K2JdRrXqNOLhWJcgIjWUu48BxuygSWmvBfBytinPsYpQs6YAACAASURBVFFTQBURERGp2VYAkfeaNQNWlbPNHuU4Nmqa4hcRERGp2eYDbcyslZntAQwEphRrMwW4IPw0/5HAenf/uZzHRk0jqCIiIiI1mLvnmdkVwNtAIvC0uy8xs7+E9z8OTAP6AkuBzcDFOzq2ojUpoIqIiIjEkW0Jlf/qfXefRiiERm57POKzA0PKe2xFKaCKiIiIxJFQVty9KaCKiIiIxJECBVQRERERCRKNoIqIiIhIoNSAfKqAKiIiIhJPCir+HvzAU0AVERERiSOa4hcRERGRQCnY/fOpAqqIiIhIPNEIqoiIiIgEigKqiIiIiASK3oMqIiIiIoFSUANuQlVAFREREYkju388VUAVERERiSu6B1VEREREAkX3oIqIiIhIoGgEVUREREQCpQbkUwVUERERkXiiKX4RERERCRRN8YuIiIhIoNSA16AqoIqIiIjEE42gym6ndov9Se92EiQY67/4hHUfzy3RZs8m+5J2zIlYQiL5Wzaz4rVnAcg4/lTq7NuG/C2bWDb+ieoufafmzp3L6NGjKSgooH///lx00UVF9rs7o0ePZs6cOaSkpHDrrbfSrl27HR57ww03sGzZMgByc3NJTU1l3LhxvPnmmzz33HOF5/722295/vnnadu2bbX0tTQ76l+klStXMnz4cDZs2EC7du0YOXIkycnJ/Pjjj9x222189dVXXH755Zx//vkArF69mhEjRrBmzRoSEhI4/fTTOffcc6u7e+VSd/8DadL7LEhIYN3Hc8me898i+xsf3ZP6nQ4HwBISqNV4b768ZxgF235jv4uvwhKTsIRE1n/5CVnvT4tFF0REdiq/oCDWJVS5GhNQzSwDuA84ElgH/Abc7e6TYlpYdTIjvXtvVk55gW0bN7Dv2X9m0w/f8Nu6nMImCXvUIv3YPqx8fRx5GzeQuGftwn0bvvyMXz6fz94n9ItF9TuUn5/PXXfdxSOPPEJGRgYXXHAB3bt3Z7/99itsM2fOHJYvX86kSZNYvHgxo0aNYuzYsTs8dtSoUYXH33fffdStWxeAPn360KdPHwCWLl3KNddcE9NwCmX3r7iHHnqIQYMGcdJJJ3HnnXcyefJkzjrrLOrVq8e1117L+++/X6R9UlISf/vb32jXrh2bNm3i/PPPp0uXLkW+toFgRpO+A/jhuYfJ2/AL+196HRu+XsTWnNWFTXLmTidn7nQAUg/oSOMjjyP/180A/DD2QQq2/QYJCex/8dXkfvsFW1b+GIueiIjsUHU+JGVmDYGXgJbAj8AAd19XrE1z4Flgb6AAGOPuD4T33QpcCmSHmw93952OACRUTvnBZmYGvAbMdPf93P0wYCDQrFi7KgnsZpZYFeeNVkp6E7atX8e2Db9AQQEbvl1CnVZFQ1XqAR3Z+P1X5G3cAED+ls2F+7b8/BP5W7dUa83ltWTJEpo3b06zZs1ITk7mxBNPZMaMGUXazJgxg759+2JmdOrUidzcXHJycsp1rLvz7rvvctJJJ5W49ttvv82JJ55Ypf0rj7L6F8ndmT9/Pj179gTglFNOKQykDRs2pEOHDiQlFf1n0Lhx48KR2Dp16tCyZUuysrKqvkNRqt20Jb+tzWHbL2vwgnzWL/mYeu0OKrN9/Y6d+WXxwsL1gm2/AWAJiVhiIjXjlwmKSDxyj26poGHAdHdvA0wPrxeXB1zj7gcSGggcYmbtI/bf5+6HhJdyTU/ViIAKHA/85u6Pb9/g7svc/SEzu8jMXjaz14F3zKyhmb1mZp+b2TwzOwjAzOqa2TNmtii878zw9hPN7AMz+zh8nrrh7T+a2S1mNhsYZmYfb7+2mbUxs4VUs6S69QqDJ0Dexg0k10kt0maP+o1IrJVCs/7n0+LsP5Patuz/wQdJVlYWGRkZhevp6eklQlR2djZ777134XpGRgZZWVnlOvaTTz6hYcOGtGjRosS133nnnVKDa3Urq3+R1q9fT2pqamEILa2vO7Jq1Sq+/vprOnbsWDlFV6Kk1L3YtuH3H+q3bVhHcupepba1pGTqtj6QDV98GrHRaH3ZMA687p9s/P4rtqxcVtUli4jsEnePaqmgfsD26bixQP9S6vnZ3T8Of84FvgSaVuSiNWWKvwPw8Q72HwUc5O5rzewh4BN3729mxxMasj4EuBlY7+6dAMysgZk1Bm4CTnD3TWb2d+BqYGT4vL+6e7dw+xPM7BB3/xS4GPhP5Xczel5slMgsgVpp+7Bi8vNYUhItzryYX1evYNv6tTGqcNeFBs5/V9o/0uJtytr+9ttvlxpCFy9eTEpKCq1bt65ApZWjPP2L5mtQ3ObNm7n++uu55pprCm91CJRS+lHWf5brte3E5p++L5zeDzV2lj7xTxJq7cm+51xKrbR92Jr9c9XUKiJSAdX8HtQMd/8ZQkHUzNJ31NjMWgJ/AD6M2HyFmV0ALCA00rqulEOLqCkjqEWY2SNm9pmZzQ9v+q+7b09g3YDnANz9f0AjM9sLOAF4ZPs5wl/cI4H2wBwz+xS4ENg34lIvRXx+Erg4PN1/DjCujNoGm9kCM1swZsyYina1iLyNG0iqW69wPaluPfI2bSzSZtumDWz+6Ts8bxsFv25hy6qfqNU4o/ipAic9PZ3MzMzC9aysLNLS0kq0Wb369/sRMzMzSUtL2+mxeXl5vPfee/Tq1avEdcsKrtVlwoQJDBo0iEGDBpGWllZq/yLVr1+f3Nxc8vLygNK/TqXJy8vj+uuvp3fv3hx//PGV24lKkrfhF5LrNShcT67XgLzc9aW23avDYUWm9yMVbN3CpmXfktq6fan7RURiLdoR1MhsEV4GR57PzN41s8WlLFE9dBKeRX4VuMrdt0/ZPgbsT2iw72fg3vKcq6YE1CXAodtX3H0I0BPY/n/mTRFtSxtO8vD24j+yGKFwu/2+ivbufknE/sjzvgr0AU4BFrr7mtIKdfcx7t7Z3TsPHjy4tCa77NesVSTv1ZCk1PqQkEC9Nh3Y9OM3Rdps+uEb9mzSAsywpCRSMpoWeYgqqNq3b8/y5ctZuXIl27Zt45133qF79+5F2hx77LFMmzYNd2fRokXUrVuXxo0b7/TYjz76iJYtWxa5DQCgoKCA6dOnx/T+0wEDBjBu3DjGjRtHjx49Su1fJDOjc+fOTJ8eelBo6tSpHHvssTu8hrszcuRIWrVqxXnnnVdlfamozSuXUatRGsn1G2EJiezV4VA2fP15iXYJtVKo07J1kX2JteuSUGtPIDz936otW3MySxwrIhIE0d6DGpktwsuYoufzE9y9YynLZCDTzPYBCP9Z6n1hZpZMKOu84O4TI86d6e757l4A/Bs4ojx9rClT/P8D7jSzv7r7Y+FttctoOxP4I3C7mfUActx9g5m9A1wBXAWhKX5gHvCImbV296VmVhto5u7fFD+pu/9qZm8T+knikuL7q4U72bPeotlpg8CMDV9+xm9rs9mrQyi7r1/yMb+ty2HTT9+x78DLwJ31X3zCb2tDD97t3et0ajfdl8SU2rS68P9Y89EMNnz56Y6uWG2SkpK47rrrGDp0KPn5+Zx22mnsv//+vPLKKwCcddZZdO3alTlz5tC/f39SUlIYMWLEDo/d7p133ik1hH788cekp6fTrFmzEvtioaz+AVx55ZXcfPPNpKWlMXToUIYPH85jjz1G27Zt6dcv9ANyTk4OF1xwAZs2bcLMePHFF5kwYQJLly5l2rRptG7dmkGDBgFw+eWX061bt5j0s0xewKppE2h13hAwY92n89iavZqGh4XqXLtwNgD12h3Mxu++wsMPRQEk161Hs/7nQ0ICZsb6JR+T++3imHRDRGRnqnmKfwqhGeJ/hv+cXLxB+GH0p4Av3f1fxfbts/0WAeB0oFz/cbWa8LJXKEz99wFdCL3qYBPwOLAn0Nndrwi3awg8A7QCNgOD3f3z8LD1I8BhQD5wm7tPDN+nehdQK3ypm9x9ipn9GD5vTkQNRxL66aKFu+eXo2z/5pHbK9jz+HLAkJvJzc2NdRnVKjU1tUb2edFtV8S6jGrVacTDsS5BRCpX+W7grwKzv/opqvDWrV2LXa7VzBoBE4AWwE/A2eFndpoAT7p7XzPrBswCFhF6zRSEXydlZs8Rmt53Qq+puiwisJappoygEv5iDCxj938i2q0l9MRa8eM3EvrJofj2/wGHl7K9ZSnX6QY8Xc5wKiIiIlJCdY6ghm9J7FnK9lVA3/Dn2ZQR2N39/F25bo0JqLFmZpMI3SQczCdMREREJC5U8xR/TCigVhN3Pz3WNYiIiEj8qwH5VAFVREREJJ7UhOeHFFBFRERE4oim+EVEREQkUGpAPlVAFREREYknmuIXERERkUApKPGLLXc/CqgiIiIicUQjqCIiIiISKDUgnyqgioiIiMSTgoLdP6EqoIqIiIjEEb1mSkREREQCpcALYl1ClVNAFREREYkjNWCGXwFVREREJJ7oKX4RERERCRTdgyoiIiIigVID8qkCqoiIiEg80RS/iIiIiASKpvhFREREJFAUUEVEREQkUDTFLyIiIiKBUgPyqQKqiIiISDzRFL+IiIiIBEp1TvGbWUPgJaAl8CMwwN3XldLuRyAXyAfy3L1zNMcXl1AZxYuIiIhI9XD3qJYKGgZMd/c2wPTwelmOc/dDtofTXTi+kAKqiIiISBwp8OiWCuoHjA1/Hgv0r47jrSY8CRbH9JcjIiISTBarCz85fWFU+eDSEzpfBgyO2DTG3ceU51gz+8Xd60esr3P3BqW0+wFYRyi7PLH9/OU9vjjdgxpwn/+UFesSqtVBLdLJzc2NdRnVKjU1lcz3psa6jGqVcdwpbF7+fazLqFa1m+8HwNpNW2NcSfVpWKdWrEsQ2S1FO7gYDotlBlIzexfYu5RdN0Zxma7uvsrM0oH/mtlX7j4zqkIjKKCKiIiIxJFKmLYvwt1PKGufmWWa2T7u/rOZ7QOUOnLm7qvCf2aZ2STgCGAmUK7ji9M9qCIiIiJxpJofkpoCXBj+fCEwuXgDM6tjZqnbPwMnAovLe3xpFFBFRERE4kiBe1RLBf0T6GVm3wK9wuuYWRMzmxZukwHMNrPPgI+AN9z9rR0dvzOa4hcRERGJI9X5on53XwP0LGX7KqBv+PP3wMHRHL8zCqgiIiIicaQmvIFJAVVEREQkjtSAfKqAKiIiIhJP8gsKYl1ClVNAFREREYkjmuIXERERkUCp7PegBpECqoiIiEgc8Rrwm9AVUEVERETiiKb4RURERCRQCmrAHL8CqoiIiEgcqc4X9ceKAqqIiIhIHKkB+VQBVURERCSeaARVRERERAJFT/GLiIiISKDUgAFUBVQRERGReKIpfhEREREJFL0HVUREREQCRQFVRERERAKlBrynXwFVREREJJ7oHlQRERERCRRN8YuIiIhIoCigioiIiEigaIpfdmvuzjOPPsDHH82jVq1aDLluOPu1aVui3QOjRvLdN1+RlJRE67YHMviq60hKCva3jrszevRo5syZQ0pKCrfeeivt2rUr0W7lypUMHz6cDRs20K5dO0aOHElycjJvvvkmY8eOBaB27doMGzaMAw44AIDbbruN2bNn06BBAyZMmFCt/YrGh0u+4sEJr1FQUMDJXbtwXu+eRfbP+nQxT73+FglmJCYkMHRAPw5qvR8AA4b/gz1TapGYkEBiQgL/Hv63WHQhanM+WsA9jz5OQUEB/fv05k/nDiiy/4efljPinn/x1dKlXHHxhVww4CwAVmdlc/Ndo1mzbh1mxpkn92HQGf1j0YWouTv33XMXc2fPIiUlhZtvu522B7Yv0W7VyhXcfMP1bFi/gbbtDmTEP+4kOTm5cP8XSxZz6YXncfs/7+b4E06szi6ISJRqQD4lIdYFBIGZ5ZvZpxFLy1jXVB0++WgeP69cwUP/eZHLrrqefz94b6ntjjm+Fw88/QL3jhnLb1u3Mv3N16u50ujNmTOH5cuXM2nSJG688UZGjRpVaruHHnqIQYMGMWnSJFJTU5k8eTIATZo0YcyYMYwfP55LLrmEO+64o/CYU089lYceeqha+rGr8gsKuO/FidxzxaU8O+J6ps//hB9XrS7S5rB2bXjmpmt4+qZrGHbBOdz9XNGw/cDVf+Xpm66Jm3Can5/PPx96hIfvvJ1Xn3qCt957n++WLSvSZq/UVP4+5C9ccPaZRbYnJiZy9V8uZeLTY3j2oft4afLUEscG1QdzZrP8p2W8PHkqw266hbtH/aPUdo88eD8D/3g+L0+eSmq9erz+2sTCffn5+Tz6wH10Oero6ipbRCqgwD2qpSLMrKGZ/dfMvg3/2aCUNm2L5agNZnZVeN+tZrYyYl/f8lxXATVki7sfErH8uH2HheyWX6f5H8zm2BN6Y2Yc0L4DmzZuZN2anBLtDu1yFGaGmdG63YGsyc6OQbXRmTFjBn379sXM6NSpE7m5ueTkFO2buzN//nx69gyNLJ5yyim8//77ABx88MHUq1cPgE6dOpGVlVV43KGHHlq4L6i+/PEnmqY3oklaI5KTkuh5+B+Y/fmSIm1qp9TCzADY8ttvEP4crxZ//Q3NmzShWZN9SE5O5qQex/L+nHlF2jRsUJ8O7dqSlFh0BiCtUUMObNMagDq1a9OqRXOyc9ZUW+0VMfP99+hzyqmYGR0POpiNubnkFPs36u4snP8Rx/XsBUDfU05j5nvvFe5/efw4evTsRYOGDau1dhHZNQUFHtVSQcOA6e7eBpgeXi/C3b/enqGAw4DNwKSIJvdFZKxp5bnobhm8KsrMWprZl2b2KPAx0NzM7jGzxWa2yMzOCbcbGfETwUozeya8/Twz+yi8/QkzSwxv32hmd5jZZ2Y2z8wyYtdLWJuTTaP09ML1Ro3TWJtTMqBul5eXx8x33+YPh3epjvIqJDs7m7333rtwPSMjo0jIBFi/fj2pqamFtyukp6eXaAMwefJkjj46vkaWctatJ71B/cL1tPp7kb1ufYl2Mz9ZxHkj/snfH36SYRec8/sOM655YAx/vvM+psz6oDpKrrCsnBwy0tMK1zPSGpO9JvqQuWp1Jl8v/Y6O7Ure7hJE2VlZZGT8/r2elp5Bdnax7/VffqFu3Yjv9YwMsrMzAcjKymTGe//j9LPOrr6iRaRCqnMEFegHjA1/Hgvs7P6nnsB37l6haSgF1JA9I4Lm9sTfFnjW3f8AdAYOAQ4GTgDuMbN93P2W8E8LxwJrgIfN7EDgHKBreF8+8MfwOesA89z9YGAmcGnxQsxssJktMLMFY8aMqboeU8ZTgDsYRXvywXs5sNMhHNjp4CqsqnKU1jcr1rfytFmwYAGTJ09m6NChlVtgFSvtP0el/dV2/0Mnnr9tGHf89WKemvJW4fZHr7uCp268mnuu+DOT3p/Dp99+V3XFVpZKuCdr85YtXHvbP7j28suoW6dOxU9YLUr5PqbY93ppX5zwN8T9o+9myJVXkZiYWCXViUjlc/eolshsEV4GR3G5DHf/OXzdn4H0nbQfCLxYbNsVZva5mT1d2i0CpQn2ky7VZ0s4TAKhEVRgmbtvnx/sBrzo7vlAppnNAA4Hplgo0bxAaPh6oZldQWh4e3447OwJbB/O+A2YGv68EOhVvBB3HwNsT6b++U8lR/Qq4q3JE3l3Wuge0tZt27EmYsRwTU42DRs1KvW4l597hg3rf+Haq66r1Hoq04QJE3jttdcAaN++PatX/37PZWZmJmlpaUXa169fn9zcXPLy8khKSiIrK6tIm2+//Zbbb7+dBx98kPr16xNP0hrsRda6XwrXs39ZT+P6e5XZ/pA2+3Nn9nh+2biR+nXrFrZtUC+VYw7pxJc//MQhbfav8rorIj2tMZlZv09tZ2bnkFbG93NptuXlce2t/6BPz+PoeUzXqiix0rzy0nimTHoVgAM7dCAz8/fv9eysTBqX+F5vwMaNEd/rmZmkNQ79P+arL5Zw8w1/B2D9L+v4YPYsEhOTOPa446upNyISrWhHRYtlixLM7F1g71J23RjNdcxsD+A04IaIzY8BtxP6afp24F7gTzs7lwJq2TZFfN7RzXm3Aivc/ZmItmPd/YZS2m7z34ft8onB1793vzPo3e8MABZ+OJe3Jk+k63E9+fbLL6hdpy4NGjUuccz0aa/z6YKPuOXu+0lICO6g+4ABAxgwIPTU9uzZs5kwYQInnXQSixcvpm7dujRuXLRvZkbnzp2ZPn06J510ElOnTuXYY48FYPXq1Vx33XWMHDmSfffdt9r7UlHt9m3OiqwcVuWsIa3+Xkyf/wm3XHJekTYrsnJomtYIM+Prn1aQl5fHXnXqsGXrVtyd2ikpbNm6lflffs1FJwf/qe4ObQ/gp5WrWPnzatIbN+Lt92cwavjfy3Wsu3Pb6PtptW9zzj/rjCqutOLOOmcgZ50zEIA5s2byyksv0uukPixZ9Dl16qaWCKhmxqGdD+e96f+l10l9mDZ1Csf06AHAxKm/j5zfPuImuh7TXeFUJOAq+z2o7n5CWfvMLDM8a/yzme3D74NupekDfOzumRHnLvxsZv/m94G6HVJALZ+ZwGVmNhZoCHQHrjOzUwiNgvaIaDsdmGxm97l7lpk1BFIrei9GVTj0iKP45MN5DL1wIHvUSmHItb9n6juHX8dfrv47DRs3ZswD95KWkcGNV/4FgC7dunP2+RfHquxy6dq1K3PmzKF///6kpKQwYsSIwn1XXnklN998M2lpaQwdOpThw4fz2GOP0bZtW/r16wfAv//9b9avX89dd90FhJ7yfu655wAYPnw4Cxcu5JdffqFv374MHjyY/v2D9UqipMRErjrnDK59cAwFBU7fo4+gVZO9mTxzLgD9uh/NjE8+5+15C0hKTKRWcjK3Xno+Zsa6DRu58fHQz1v5BQWccPihdOlQ8hVdQZOUmMjfh/6Vy4fdREFBPv16n8j+Lffl5dffAODsU08mZ+1a/nj5lWzavBmzBF6Y+BqvPvUE337/A2+8O502rVpyzmVDALjiTxdyTJcjYtij8jm62zHMnT2Ls/udTK2UFG669fbCfVcPvZwbbrmVtLR0hlz5N26+4XqeeORhDmjXjlP7Bz+Ii0jpKv7cU1SmABcC/wz/OXkHbc+l2PT+9nAbXj0dWFyei1pN+G0EO2NmG929bsR6S2Cqu3cMrxtwN6GfDBz4h7u/ZGbvAa2A7XOpU9z9lvBDVDcQusd3GzDE3edFXsfMzgJOcfeLdlBapU/xB91BLdLJzc2NdRnVKjU1lcz3yvUD5W4j47hT2Lz8+1iXUa1qNw+9Y3btpq0xrqT6NKxTK9YliFSlmL365LInJkcV3p64rN8u12pmjYAJQAvgJ+Bsd19rZk2AJ929b7hdbWA5sJ+7r484/jlCz/E48CNwWURgLZNGUIHIcBpe/xHoGLHuwHXhJbLdcWWc7yXgpR1dx91fAV6pSN0iIiJS81Tn4KK7ryH0ZH7x7auAvhHrm4ESN/67+/m7cl0FVBEREZE4ol91KiIi/9/efYdHVaZ9HP/eKRB6CUkoFooi0kTFgohgWxVRsbe1rSu7q+iqq66iiKhrr2tHxfaKiqKIBesiXREUBUSxSxESeihSkvv945yEJISezJmZ/D7XlStzznnO5H4yk5N7nnZEROJKFchPlaCKiIiIJJKqMH9ICaqIiIhIAlEXv4iIiIjElSqQnypBFREREUkkhV4YdQiVTgmqiIiISAKJ8UL9kVCCKiIiIpJANElKREREROKKElQRERERiSvq4hcRERGRuKIWVBERERGJK44SVBERERGJI1qoX0RERETiShXIT5WgioiIiCSSggIt1C8iIiIicURd/CIiIiISVzSLX0RERETiSvJ38CtBFREREUkoakEVERERkbiiBFVERERE4kpVuNVpStQBiIiIiMjWc/dt+toRZnaqmc0ws0Iz67yZckeb2Xdm9oOZXVtif0Mz+9DMvg+/N9ian6sEVURERCSBxDJBBaYDJwFjNlXAzFKBR4BjgLbAmWbWNjx8LfCxu+8OfBxub5ESVBEREZEEUui+TV87wt1nuvt3Wyi2P/CDu//k7muBl4ETwmMnAM+Fj58Dem/Nz7WqMNA2genFERERiU8WdQBby8z6AH1K7Brk7oO28Tk+Aa5y98nlHDsFONrd/xpunwMc4O59zWypu9cvUXaJu2+xm1+TpOLctw/cGHUIMdXm8pvJz8+POoyYqlOnDrMXV60679ywDjPvuS7qMGJqz6tuB+DTC46KOJLYOfCZ9wH4KXdpxJHETsvs+lsuJBJjYTK6yYTUzD4CGpdz6Hp3f3MrfkR5yfoONbIpQRURERGpwtz9iB18ijnAziW2dwLmhY8XmFkTd//dzJoAuVvzhBqDKiIiIiI74nNgdzNrYWbVgDOAEeGxEcB54ePzgK1pkVWCKiIiIiLlM7MTzWwO0AV4x8zeD/c3NbN3Adx9PdAXeB+YCQx19xnhU9wBHGlm3wNHhttbpC5+ERERESmXu78BvFHO/nlAzxLb7wLvllNuEXD4tv5ctaCKiIiISFxRgioiIiIicUUJqoiIiIjEFSWoIiIiIhJXlKCKiIiISFxRgioiIiIicUUJqoiIiIjEFSWoIiIiIhJXlKCKiIiISFxRgioiIiIicUUJqoiIiIjEFSWoIiIiIhJXlKCKiIiISFxRgioiIiIicUUJqoiIiIjEFSWoIiIiIhJXlKCKiIiISFxRgioiIiIicUUJqoiIiIjEFSWoIiIiIhJXlKCKiIiISFxJizoAia1au+5GdveeWIqxdPoXLJ48dqMyNXdqTnb3Y7CUVApWr+K31wZvOGhG8zP/zvoVy5kz4sUYRr5l7s4999zD+PHjycjI4KabbqJNmzYblZs7dy79+vVj+fLltGnThptvvpn09PTNnj9w4EDGjRtHgwYNGDp0aPFzPfHEEwwfPpwGDRoAcPHFF3PwwQfHpsLbwN155P57mDRhPNUzMrim/03svsfGv5vhr77C66+8plqOigAAIABJREFUxLy5cxg28iPq1a8fQbTbr1bz1uQc1guzFJZO+5xFk0ZvVKbmzi3IObQXlpLK+tUr+e2VJwFIqZ5Bk6NOonpmDgC/vzeM1b//FtP4t0e99p1pftbfsZRUcseMZN67Q0sdT61Zm1Z/uZLq2U3wdev4cfC9rJ77K9UaZtHqr1dTrV4D3J3c0e8y/8PhEdVi27g7jz94H59/OoHq1TP4V7/+7FbO+3nEsFcZ/urL/D53Di+/9X7x+3ni2NE8/9QgUlKM1NRU+lx2Be07dop1NURkM5SgViVm5Bzai9mvP8e6FctpfubfWPHTt6xdnFdcJKV6RlBm+Ausz19Gao1apZ6iQacurFmcR2q16rGOfovGjx/P7NmzeeONN5g+fTq33347zz333EblHnroIc466yyOOuoobrvtNt58801OOeWUzZ5/3HHHcfrpp3PjjTdu9HxnnXUW55xzTqXXb0dMmjieubNn89yrbzBzxnQevOt2Hn56499Nu457ceDB3fjXxX+LIModZEbjI47nt1efZl3+clr8+RLyf5zJ2kW5xUVSqmfQ+IgT+O21Z4L3d80N7++cw45j5c+zmDtiCKSkkpKeHkUtto2l0OKcS5h5z3WsXbyQ9jc+xJKpn7J63obEulmvM1g5+0dmPXwzGY13DsrffS1eUMCvrwxi1a8/kJJRgw4DHmbZjC9KnRuvPv90AvPmzObpl17j22+m8/C9d/HAoMEblWvboSMHHNSVay67uNT+Tvvux4EHH4KZ8fMP33PbgOt58sWhG50vItHZYhe/mRWY2VQzm2FmX5nZlWa22fPMrLmZnVVxYW47M+tkZj2347zmZrY6rPM3Zvb4luqbKDIa78TaZYtZt3wJFBawfNY0arcq3epQd48O5P8wk/X5ywAoWL2y+Fha7brUbtGaZdOnxDTurTV69Gh69uyJmdGhQwfy8/NZuHBhqTLuzueff87hhx8OQK9evfjkk0+2eP4+++xD3bp1Y1qfijRhzGiOPCaoW9v2HVixIp9FZX43ALvv0YbGTZpGEOGOq9F4Z9YuWcS6ZeH7+9uvqNNqz1Jl6u3ZifxZMza8v1cF7++UatWpuVNzlk6bHBQsLKBwzR8xjX971G65B3/kzmNN3ny8YD2LJn1Cg727lCpTo+kuLP9mKgB/zJ9N9UY5pNetz7pli1n16w8AFP6xmtW/z6Za/UYxr8P2+HTcGA4/+hjMjD3bBe/nxeW8n3drvQc55byfa9SsiZkB8McffxQ/FpH4sTWJ12p37+Tu7YAjgZ7AgC2c0xzYpgTVzFK3pfxW6EQQ6/b40d07AR2BtkDvCouqhEqo82al16pT/I8ZYH3+ctJrlU66qjVoRGpGBruccgHNz/w7dffcq/hYdvdjyB33PuCxCnmb5OXl0bhx4+LtnJwccnNzS5VZtmwZderUIS0t6DzIzs4uLrM155dn6NChnHHGGQwcOJDly5dXRFUq3MK8PLJyNtQtKyuHhXlbrlsiSatTt9T7e92K5aTVqVeqTLUGjUjJqMEup19E8z/3pV7bvQFIr9eQglUraXL0KbQ451Ka/OkkLAFaUKs1yCzVA7J28UKqNSidZK6a/TMN9+0KQK0We1A9M2ejMtUzc6i1SytW/PRt5QddARbl5dEoO6d4u1FWNgsX5m3mjI2NH/MJF519GjdecyVXXHtDRYcoIjtom1oG3T0X6AP0tUCqmd1tZp+b2ddmVtQveAfQLWyFvGJT5cysh5mNMrMhwDQzSzGzR8PW2rfN7F0zOyUsu6+ZjTazKWb2vpk1Cfd/YmZ3mtkkM5tlZt3MrBpwM3B6GMPpZtY9fDzVzL40szpbUd/1wARgNzO7KIz/KzMbZmY1w5//bNjKOjb8+b3C/VtV57I/08z6mNlkM5s8aNCgbXl5tqzcVgIvUySFjOymzB7+f8x+43ka7d+D9PqZ1GrRmoJVK1mT+3vFxlSB3DdOnMu2jGyuzNacX9Ypp5zC8OHDGTJkCI0aNeL+++/flpBjxsv5UFElWo3KvqYpKdTIacbs159l9rDBNOpyGNUaNMJSUsjIacqSqZ/x8wsPUbhuLY327xFJyNumnNewTJ3nvfMKqTXr0GHgozQ+4nhW/vYDXlhYfDylega79+3PLy89TsEfqyo74ApR/t/qtj1H10N68OSLQ7nxtrt4/qknKigyEako2zwG1d1/Cru8s4ETgGXuvp+ZVQfGm9kHwLXAVe5elKz12UQ5gP2B9u7+c5iMNgc6hM8/ExhsZunAQ8AJ7p5nZqcD/wH+UlQPd98/7NIf4O5HmNmNQGd37xvG8BZwibuPN7PawBb778Ik9HDgRmCSuz8Z7r8VuDCMiTDm7kArYJSZ7QacuzV1Luf3Owgoykz92wc2HvO4vcq2KKXVqcu6lfkblSn4YxW+fh0F69exau4vZGQ1JiO7CbVb7kHtFrtjqWmkVKtOk6NO5vf3h1VYfNtj6NChDB8eTOxo27Yt8+fPLz62YMECsrKySpWvX78++fn5rF+/nrS0NHJzc4vLZGdnb/H8sjIzM4sfn3jiiVx++eU7XKeK8uZrQ3l3RPC7ab1nW/IWbKhbXt4CMhttvm6JZn1+6fd3eu26rF+xvEyZZaxYvRJft46CdetYNednqmc1ZtWcX1iXv5w/5s8GYPms6TQ6oHtM498ea5cspFrDDa9jtYaNWLt0UakyBX+s4qfB9xZv7333c6zJC94LlppK6779WTjxfyyZMj42QW+nt15/lffeehOA1m3asjB3QfGxhXm5ZGZu3/u5Q6e9+X3eHJYtXZpwkwJFktn2jq0s+qz6J+BcM5sKfAZkAruXU35z5SaVSNQOBl5190J3nw+MCvfvAbQHPgyf4wZgpxLP/3r4fQpBslie8cB9ZnYZUD9sHd2UVuHPGQ+84+4jgfZhK+k04GygXYnyQ8OYvwd+AtpsQ51j5o/5c6lWvyHpdetDSip1W3dgxY+lu/RW/DiTGk13BUvB0tKp0Xgn1izOI2/8R/z49L38OPh+5o18lVWzf448OQU47bTTGDJkCEOGDKFHjx68++67uDvTpk2jdu3aNGpUuivTzOjcuTMff/wxAG+//TbduweJSPfu3bd4flklx7iOGjWKVq1aVXANt98Jp5zGE88P4Ynnh9D1kB58ODKo2zfTp1GrVm0yt1C3RLN6/hyqNWhEer0Gwfu7zV7k/zizVJn8H76hZrPmxe/vjCY7s3ZxHgWrVrA+f2lx13etXVuxZlH8D4FY8fN3ZGQ3o3qjHCw1jcz9e7Dky09LlUmtUQtLDYe0HHIMy7+bXtxS2vKCK1k9bzbzP3h9o+eON8eddCqPPPN/PPLM/9Gl2yF8/N5I3J2ZM6ZRq3ZtGm7D+3nenNnFrbA/fPct69etp269els4S0RiaZtbUM2sJVAA5BIkqpe6+/tlyvQoe9pmyq0sU67cHwvMcPcumzi+JvxewCbq5O53mNk7BONSPzWzI9x9UwOuisaglvQs0NvdvzKz84EeJZ++7I9j6+scO17IglHvsPOJ54KlsGzGF6xdnEf9Dp0BWDptMmuXLGTlr9/T4s8XgztLZ3xRahZ0POvatSvjx4+nd+/eZGRkMGDAhqHSl112Gf379ycrK4tLL72Ufv368dhjj7HHHntwwgknbPH8fv36MWXKFJYuXUrPnj3p06cPvXv35sEHH2TWrFmYGU2aNOH666+Peb23xgEHdWXShPGce2pvqlfP4OobStTtysu48rr+NMrK4o2hL/PK/z3P4sWL6HPOGezfpSv/6tc/wsi3gRcy/+MR7HzyX4Jl1KZNZu2iXOrvtT8AS7+axNrFeaz4ZRYtz78Md2fp15NZszBoiZv/8Vs0PfZ0LDWVdUsXM++916KszdYpLOSXFx+hzb9uw1JSyB37Aavn/Up2j2MByP3kHWo03YVWF10NhYWsnvcrPw4OhqHU2b0dWV2PYOXsn+gw8FEAZg97hqVffx5ZdbbWfl268vmnE/jLGSeTkZHBFddteI/2v/pyLv/39WQ2yuLN117h1SEvsGTxYi4+/2z2O/AgLr/2esaNHsXH771LWloa1apX59qBt1aNIS8iCcTKG8tTqoDZCnevHT7OAl4EJrr7gLDrvidwqruvM7PWwFyCFsT73L17eN6myu1H6aEApwLnAccDWQRd/H2AEcA3wDnuPjHs8m/t7jPM7JPwOSabWSNgsrs3N7OTgePd/bzwuVu5+4/h4+HAs+6+0aJ/ZtYceNvd25fZv5BgwtQS4F1grrufb2bPEgxH6AW0AEYDRV38W6zzFlRoF38iaHP5zeTn52+5YBKpU6cOsxdXrTrv3LAOM++5LuowYmrPq24H4NMLjoo4ktg58Jng8/lPuUsjjiR2WmZrmEAVok81lWhrWlBrhN3U6cB64AXgvvDYUwRd6l9Y8PEzj2DG+9fAejP7iqDl8cFNlCtrGMGYz+nALIKu8WXuvjYcn/pfM6sXxv0AMGMzcY8Crg1jvx042MwOJWhl/QYYuRV1L6l/GM+vBJObSk6y+o4gMc0B/u7uf5jZpn43IiIiIrIZW0xQ3X2TSyG5eyHQL/wq6/Ay2+WV+yT8Kn4+M7vK3VeYWSYwiXCmu7tPBQ4pJ4YeJR4vJByD6u6LCVori7yyqXqUeb5fCMa7lt3/GPDYJk4b7+5XlCm/qd/NJ5Sos4iIiIiUFo93knrbzOoD1YBbwslSIiIiIlJFxF2CWrJFtDKZWQeC4QolrXH3A7bledz9/AoLSkRERETiL0GNFXefRnC3KRERERGJI0lxj3kRERERSR5KUEVEREQkrihBFREREZG4ogRVREREROKKElQRERERiStKUEVEREQkrihBFREREZG4ogRVREREROKKElQRERERiStKUEVEREQkrihBFREREZG4ogRVREREROKKElQRERERiStKUEVEREQkrihBFREREZG4ogRVREREROKKElQRERERiStKUEVEREQkrihBFREREZG4ogRVREREROKKuXvUMcim6cURERGJTxZ1AMksLeoAZPPWLMqNOoSYqp6ZzdolC6MOI6aqNWjEki8nRh1GTDXYuwtz33456jBiqlmvMwBYNuOLiCOJnXrt9gFg3shXI44kdpoecyoAaxbOjziS2KreqHHUIUiSURe/iIiIiMQVJagiIiIiEleUoIqIiIhIXFGCKiIiIiJxRQmqiIiIiMQVJagiIiIiEleUoIqIiIhIXFGCKiIiIiJxRQmqiIiIiMQVJagiIiIiEleUoIqIiIhIXFGCKiIiIiJxRQmqiIiIiMQVJagiIiIiEleUoIqIiIhIXFGCKiIiIiJxRQmqiIiIiMQVJagiIiIiEleUoIqIiIhIXFGCKiIiIiJxRQmqiIiIiMQVJagiIiIiEleUoIqIiIhIXFGCKiIiIiJxRQmqiIiIiMSVtKgDkMo37tPPuPOBByksKOSk43px4bl/LnXc3bnz/gcZO/FTMjKqc8sN/Wi7xx4AHH3SqdSsWZPU1BRSU1N5efBTxecNefU1Xhr2OmmpqXQ7qAtXXnJxTOu1OeMmfsqd9z9AQWEhJx1/HH8995xSx92dO+57gLETJ5JRPYNb+19P2zZ7FB8vKCjgjAsuJDsri0fuvRuAR598mmEjRtCgfn0ALvvH3zjkoINiV6ltNHHq19z/3BAKCws5/rBDOPeEXqWOvzduAi+MeBeAmtUzuOav57L7rrsUHy8oLOSCfjeR1aAB9/77ipjGvr0mffs9Dw8fSWGh0/OAfTjr8G7llvv2t7n0/e+T9D/nVLrv1Q6Au14ezqczZ1G/di0GX31JLMPeIRO/mMq9g5+nsLCQE444lPNOOqHU8fdGj+P54SMAqJGRwb/7XEjrFrsCcMvDjzNu8pc0qFeXlx+8O+axb69JM2fx8OvvUuCFHHvgvpx1RPdSx8dNm8kz736EmZGamkLfE3vSoWVzAF4bPYF3Jk7GgV4HduaUHvH7Nxxcux+isLCQk447lgvPObvUcXfnzgf+y9iJnwXX7uuvo+0erQFYnp/PTXfczQ8//YwZ3Nzv3+zVvj3fff8Dt9x9L6tWr6Zpk8bcMaA/tWvViqJ6IpuVUAmqmRUA04B0YD3wHPCAuxdu5pzmwNvu3t7MOgPnuvtlMQg3LhQUFHDbPfcx6MH7ycnO4swLL6JHt660atGiuMy4iZ/y65w5vD30Jb6e8Q233n0vQ54aVHz86YcfLE7Kikya8gWjxo5j2PPPUq1aNRYtXhKzOm1JQUEB/7nnXgb99wEaZ2dzxgV/5dBuB5eq89iJE/l19hzeefUVvp4xg1vvuochg58sPv5/r7xKi+bNWblyZannPueM0zn/7LNiVpftVVBYyD2DX+C/119NdmZDLug3kG777k2LnZoVl2malcVjN15H3dq1mPDl19w+6FkG/+fG4uOvjPyA5k2bsnL16iiqsM0KCgt58PV3uPtv55JVry7/eGAQB7Xbg+aNszcqN+idD+m8x26l9h+1Xyd6H7w/d7z0RizD3iEFBYXc9eQzPDygH9mZmZx3zfV0229fWu68U3GZpjnZPH7LjdStXZsJX0zl9sef5Jk7bwXg2EO7c+oxR3HTfx+NqgrbrKCwkAdfe4u7/3EBWfXr8vf7Hueg9nuWep33bd2Sru37Ymb8OG8+A599mef7Xc7Pvy/gnYmTeezKv5Oemso1TzzHge1as1NWowhrVL6CggJuu/cBBj1wb3Dt/uvf6HFwV1q1aF5cZtzEz4Jr9ysvBtfue+5jyJOPA3DnAw/R9YD9ue8/N7Nu3TpW//EHADfdcRf/6nsxnffuxBtvv8OzL75M3z4XRlBDkc1LtC7+1e7eyd3bAUcCPYEBW3uyu0+uSskpwPRvZrLLTs3YqVlT0tPTOfqIwxk1dlypMqPGjuO4o4/GzNirfTvyV6wgb+HCzT7v0DeGc+E5f6ZatWoAZDZsUGl12FbTvpnJLjvtxM7NmpGens4xRx7OqDFjS5UZNWYcx/csqnN78lfkF9d5fm4uYydM4OTjj4si/ArxzQ8/sVPjHJrlZJOelsaRBx3AmMlflirTcY/dqVs7aDlpv3sr8hYvLj6Wu2gxE774iuMPOySmce+Ib3+bS7PMhjTNbEh6WhqH7d2eCTO+3ajcG+M+45AOe9KgdulWo71aNaduzRqxCrdCzPjhB3Zq0phmjXNIT0/jTwd3YcykyaXKdGzTmrq1awPQvvVu5C7a8Drv025P6tapHdOYd9S3v86haaNMmjYqep07MH7azFJlalSvjpkB8MeatRjB418X5NG2+c5kVKtGamoqe7VqwdivZ270M+LB9Jllrt2HH7bxtXvcOI47+qgN1+78FeQtXMSKlSuZ8tVXnHTcsQCkp6dTt04dAH75bTb7dtoLgC777cdHo0fHtmIiWynREtRi7p4L9AH6WiDVzO42s8/N7Gsz+1vZc8ysh5m9HT6ubWbPmNm0sPzJ4f7HzGyymc0ws4Elzr3DzL4Jy94T7jvVzKab2VdmNibcV24c4c/+xMxeM7NvzexFK7qCVqIFeXnk5GxoWcjJyiI3r3TymZuXR+NNlTHjb5dfyekXXMhrYTchwK+zZzPlq6846699uODivkz/Jn4u8rl5eTTOLlGf7GwW5OVtsUxuWOau+x/kir4Xk1LOy/PSq8M46exz6X/rbSxbvrySarDj8hYvITuzYfF2dsMG5G2mlfutUWM4sFPH4u37nxtC37NPJwZv0QqzcNlysuvXK95uVK8eecvyS5XJW7accdNmctxB+8U6vEqRt2gJOZmZxdvZmZmbfZ1HfPQJXfbuFIvQKs3CZcvJbrDhdc6qX5eFyzb+Wxz79Tece9sDXPfkC1xz5okAtGiczdc//sKylav4Y+1aPvtmFnlLl8Us9m2xIG8hOaWuUeVduxeWuY5lkZuXx5y582hYvz79/3MHp51/IQNuv4tVYU/Ibi1b8Mm48QB8MGoU8xfkxqA2ItsuYRNUAHf/iaAO2cCFwDJ33w/YD7jIzFps5vT+YfkO7t4R+F+4/3p37wx0BLqbWUczawicCLQLy94alr0ROMrd9wKOD/dtLo69gcuBtkBLoGvZoMysT5ggTx40aFDZwxWibM7h7uWUCQo9//ijDH12MI/eew8vv/46k7+cCsD69QXkL8/nxSef4Mq+F3NV/wHlPk8Uyq0PtsUymDF63HgaNmhAuzZtNjp82kkn8u6wobz2wrNkZWZyz38frrCYK5pTXv3KLztlxkxGjBpD37NOA2DclKk0qFeXNuGYvURR3ruvbJUfGT6SPr2OJDUloS99xcp9nTdh8rQZjPh4FH3PPbMSI6p85b7O5XyQ6taxLc/3u5xbLjyLwSM/AmDXxtmccXg3rn7sGf79+HO0atY4ft8L5V6XyxYp/9pdUFDAzFnfc9qJJzD02aepUSODwS8MAYKxqC8Pe4PT/3IRK1etJj09vVLCF9lRCTUGdROK/mT/BHQ0s1PC7XrA7sCsTZx3BHBG0Ya7FzU7nGZmfQh+N00IkslvgD+Ap8zsHeDtsOx44FkzGwq8voU41gKT3H0OgJlNBZoDpfps3H0QUJSZ+ppFO/bpNicriwUlPiEvyMsjq1Hp8VY52dmlPkUHZYJWmexwbFZmwwYcdsghTJ85k857dyInO4vDe3THzOjQti0pZixZupSGDaLv6s/JzmZ+bon65OYW12OzZRo14sP/jWLU2HGMnTCRNWvXsnLlSq4dMJA7Bg6gUYkWyZNPOJ6+V11d+ZXZTtkNG5bqys1dvISscl6b73+dzW1PDOb+a/9FvbCr9+tZ3zN2ypdM+PIr1q5bx8rVfzDg4ScY2HejTom4klWvLrklWsMWLltGo3p1SpWZNWcet7zwGgDLVq7is2+/JzUlhYM77BnTWCtKdmZDFixaVLydu2gRWeUMt/n+l1/5z6ODeKD/tdSvU2ej44kkq15dcpdseJ3zli4ns+6m67RXqxbMWziMZStWUq92LY49sDPHHtgZgCff/oCsEq3u8SQnO4sFpa5R5V27s8pcx4IyZsG1v2O7tgAc2aM7g/8vSFBb7LorTzxwLxB094+dMLGyqyKyXeL0o+PWMbOWQAGQS5CoXhqOUe3k7i3c/YPNnU6ZD+NhS+dVwOFhS+k7QIa7rwf2B4YBvYH3ANz978ANwM7AVDPL3EIca0r8uAJi8AGh3Z5t+HXOHObMm8e6det476OP6XHwwaXK9Di4K2+99x7uzlfTZ1CnVm2yGjVi1erVrFy5CoBVq1czcdLn7NayJQCHHdKNSVOmAPDLb7+xbv36jSZSRaX9nm34dfaGOo/88GN6dCtd50O7HcyId4vqPJ3atYM6X37xP/j4reG8P3wYd98ykP0778sdA4NhziXH5X48enTx7yIe7dmqBbPnL2Bebh7r1q/nwwmf0W3fvUuVmb9wEdfd9xADLunDLk0bF++/+MxTeevR+xn+8L3cctk/6Nxuz7hPTgHa7NyUuQsX8/uiJaxbv57/fTmdLu1Kt4QPuf4KXroh+OresS3/POnYhE1OAdru1orZv89n7oJc1q1bzwfjJtJtv31LlZmft5B/33U/A/95Cbs2bRJRpBWnzS7NmLtwEb8vWhy+ztM4qH3p13lu3qLi1sVZs+exvqCAurVqArAkfwUAC5YsZezX33D4Ph2JR+3aFF27fw+u3R//jx4Hl+50C67d72+4dteuRVajTBplZpKTncXPv/4GwGdTvqBl8+YALFoStMUUFhYy6LnnObX38YjEo4RtQTWzLOBx4GF3dzN7H/iHmf3P3deZWWtg7mae4gOgL0GXO2bWAKgLrASWmVkOcAzwiZnVBmq6+7tm9inwQ3hOK3f/DPjMzI4jSFS3NY5KlZaWRr8rr+AfV/yLgoJCevc6lt1atmDoG8MBOO3E3nQ7qAtjJ37KsaeeQUZGBrdcfx0Aixcv4fLr+gHBjNJjjjySgw88AIATex3Ljf+5nRPPPpf09DRuvaFf3IxXTEtLo99VV/D3f15JQWEBJ/bqxW4tWzL09WB29mknnUi3g7owZsJEep5yGhkZGdx6Q78tPu99Dz/Kt99/j2E0a9KYG6+9prKrst3SUlO56oI/88/b7qGwsJBeh3aj5c7NeP3DYCTLSUcextPD3mTZihXcPfh5AFJTU3n2tpsijHrHpKamculJPfn3oBco8EKO2X9vWjTOZsSEzwE4fgvjTm954VW+CscnnnbzvZx/VA96HrDvZs+JWlpqKlf/9Xwuu/l2CgsLOe7wHrTaZWeGvf8hACcfdSRPDX2dZfkruHPQYABSU1N4/u7bALjhvv8yZfpMlubn0+uvl3DRGadwwhGHRlafrZGamsplJ/fimsefo7CwkGMO2JcWTXIYMX4SAMd33Z8xX83g/clTSUtJoXp6Ojeet2E89YBnXmL5ylWkpqbyz1OOo06cToxLS0uj3xWX848rrwqv3T3Da/ebAJx24gl063JgcO0+7axgmal+1xaff90V/+S6gbeybv06dmratPjYyA8/5pXwWnh490PofWzP2FdOZCtYvIwb3BrlLDP1AnCfuxeaWQrB2NDjCFox8whaOxuwYZmpHsBV7t4rTDofAfYlaM0c6O6vm9mzwAHATwQtniMIks43gYzwue9x9+fM7HWC7nsDPiZIdm0Tcexd9LPDujwMTHb3ZzdT5R3u4k801TOzWbtk8ysIJJtqDRqx5Muq1c3WYO8uzH375ajDiKlmvYIRRctmfBFxJLFTr90+AMwb+WrEkcRO02NOBWDNwvkRRxJb1Rs13nKh5BMfrTJJKqFaUN09dTPHCoF+4VdJy4D2YZlPgE/CxyuA88p5nvM38SP2L6fsSeWFsok4in92eG7fTfwcERERkSotocegioiIiEjyUYIqIiIiInFFCaqIiIiIxBUlqCIiIiISV5SgioiIiEhcUYIqIiIiInFFCarhVv43AAAUmElEQVSIiIiIxBUlqCIiIiISV5SgioiIiEhcUYIqIiIiInFFCaqIiIiIxBUlqCIiIiISV5SgioiIiEhcUYIqIiIiInFFCaqIiIiIxBUlqCIiIiISV5SgioiIiEhcUYIqIiIiInFFCaqIiIiIxBUlqCIiIiISV5SgioiIiEhcUYIqIiIiInFFCaqIiIiIxBUlqCIiIiISV8zdo45BNk0vjoiISHyyqANIZmpBjW8W1ZeZ/S3Kn686q86qs+qseqvOcV5nqURKUGVT+kQdQARU56pBda46qmK9VWdJCkpQRURERCSuKEEVERERkbiiBFU2ZVDUAURAda4aVOeqoyrWW3WWpKBZ/CIiIiISV9SCKiIiIiJxRQmqiIiIiMQVJagiIiIiEleUoIqIiCQoM0sxs+lRxyFS0dKiDkCiZWb7bO64u38Rq1iiYmbNgF0p8ffg7mOii6hymVlr4Go2rvNhkQVVyczsZne/scR2KvC8u58dYViVyswmA88AQ9x9SdTxxIqZZQEXAc0p/f7+S1QxVSZ3LzSzr8xsF3f/Lep4YsnMDmLj1/n5yAKSCqUEVe7dzDEHkjZpATCzO4HTgW+AgnC3A0mboAKvAo8DT7KhzsluFzO7zt1vN7PqBL+DZP/wdQZwAfB5iWT1A0/+pVveBMYCH1F13t9NgBlmNglYWbTT3Y+PLqTKZWYvAK2AqZS+ditBTRJaZkqqNDP7Dujo7muijiVWzGyKu+8bdRyxZGYGvAhMAw4FRrr7/dFGFRtmlgL0Ah4DCoHBwIPuvjjSwCqJmU11905RxxFLZta9vP3uPjrWscSKmc0E2laBD1xVlsagCgBmVtPMbjCzQeH27mbWK+q4YuAnID3qIGLBzBqaWUPgLTO72MyaFO0L9ycdM9snHMayN/AgQWv598DoLQ1vSQZm1pGgl+RuYBhwCrAc+F+UcVWyt82sZ9RBxFKYiP4CpIePPyf5ewimA42jDkIqj1pQBQAzewWYApzr7u3NrAYwMdlbIsxsGLAX8DFQ3Irq7pdFFlQlMbOfCbrArJzD7u4tYxxSpTOzUZs57Ek+7nYKsBR4GhhWspfAzF5395MiC64SmVk+UAtYG34ZwWtdN9LAKpGZXQT0ARq6eysz2x143N0Pjzi0ShP+bXcCJlH62p20wxqqGiWoAgQTKty9s5l96e57h/u+cve9oo6tMpnZeeXtd/fnYh2LSEUJu/Wvdffboo5FKp+ZTQX2Bz4rcf2e5u4doo2s8lTFYQ1VjSZJSZG1YaupA5hZK0p8Kk1W7v6cmVUDWoe7vnP3dVHGVNnM7FTgPXfPN7MbgH2AW9z9y4hDq3BmduXmjrv7fbGKJZbCmd1HA1UuQQ3HG58NtHD3W8xsZ6CJu0+KOLTKtMbd1wZVBzNLI7yWJyt3H21muwK7u/tHZlYTSI06Lqk4GoMqRQYA7wE7m9mLBF3e10QbUuUzsx4EYxIfAR4FZpnZIZEGVfn6h8npwcBRwHMEs/qTUZ0tfCWzD83sKjPbOdnHGpfxKNAFOCvcXkHw953MRptZP6CGmR1JsErFWxHHVKnCYQ2vAU+Eu5oBw6OLSCqauvilmJllAgcSjNn61N0XRhxSpQvH6Z3l7t+F262Bl5J5lnvRMA4zux2Y5u5DSg7tkOQQjjkuKynHGpdkZl+4+z5VabhSOKTjQuBPBNfv94GnknmGe1Uc1lDVqItfSsoAlhC8L9qaWVIvWB9KL0pOAdx9lpkl+6z+uWb2BHAEcGe4LmhS9qaY2TXufpeZPUQ5XZ7JOBmuiLu3iDqGiKwLb8RQNFwpi2B5raQVDul4DviMoN7fJXNyGqpywxqqGiWoApRasH4GGy7myb5gPcBkM3saeCHcPptgNYNkdhpwNHCPuy81syYEd5ZKRjPD75MjjSIC4Zi8K4Fd3L1POLN7D3d/O+LQKtt/gTeAbDP7D8HSWjdEG1LlMrNjCYbp/EjQgtrCzP7m7iOjjaxSlR3WcDFJPqyhqlEXvwBVc8F6gLD18BLgYIIL+xjg0WT/PYTjT3d392fCFqba7l5el7AkqKq6dByAmbUBDif4m/7Y3Wdu4ZSEZmbfAr3c/YdwuxXwjru3iTayylMVhzVUNUpQBQAzGwmc6u4roo5FKpeZDQA6E7SmtTazpsCr7t414tAqnJmN2NzxZF4zsQovHfc08JC7Ty2x7yZ3vym6qCqXmY1x90NKbBswuuS+ZBZO/tvJ3b+OOhapOOrilyKrgKlmlvQL1gOY2VB3P83MplH+2MSOEYQVKycS3FnpCwB3n2dmyTqjvQswG3iJYHxeeTcpSFZVcuk4gpUp9jWz+9y96L7sxwM3RRdSpZthZu8CQwle71OBz83sJAB3fz3K4CqDmX1C8LqmAVOBPDMb7e6bXVpOEocSVCkyIvyqKv4Zfq8Kt3Mta627u5kVJS61og6oEjUGjgTOJFh26B2CVRpmRBpVbJRdOq4rcH6kEcVGLtADeNHMDiD4W0/2DyYZwAKgaPH6PKAhcBxBwpp0CSpQz92Xm9lfgWfcfYCZqQU1iaiLX6SKMbOrgN0JErfbgb8AQ9z9oUgDq2TheOMzCe5Lf3Oy1xeq7NJxJYc03ETwPm+S7MtrVTVh79efCNZxvt7dPzezr5O896tKUQuqAGBmXQm6wHYleF8U3b86qS/q4X27y35KW0Yw6/tf7v5T7KOqPOHYtFeANsByYA/gRnf/MNLAKlGYmB5LkJw2J5jlnYwtSqWY2YnA/9z9nXC7vpn1dvdkX8y8uCfI3W8ys8kEqxkkLTPLIJgw1I6gNRUAd/9LZEFVvpsJJkaNC5PTlgQ3XZEkoRZUAYpngV5BMOu3oGi/uy+KLKgYMLOBwDxgCEFSfgZBt/B3wD/cvUd00VUOM5uSzDciKClcG7I9MBJ42d2nRxxSzJjZ1LIz9qvKDRnMLAfYL9yc5O65UcZT2czsVeBbgmEsNxMslzfT3f+52RNF4lhSLs4t22WZu49091x3X1T0FXVQMXC0uz/h7vnuvtzdBwE93f0VoEHUwVWST81svy0XSwrnAK0JxiFOMLPl4Ve+mS2POLbKVt71Pel7zczsNGASwUSh04DPzOyUaKOqdLu5e39gpbs/R9BjkNR3VDKzu8ysrpmlm9nHZrbQzP4cdVxScZL+YiVbbZSZ3U3Q9VlyFv8X0YUUE4XhP7TXwu2S/8iStXvhUODvZvYLsJINwzmSbuyWu1flD+GTzew+gvvQO3ApyX8TCoDrgf2KWk3DdX4/YsPfeDJaF35fambtgfkEw1mS2Z/c/ZpwKMscgg8ko4D/izYsqShKUKXIAeH3ziX2OXBYBLHE0tnAg8CjBPX9FPhzuDxP3ygDq2hmtou7/wYcE3UsEhOXAv0Jxhwb8AHBTSmSXUqZLv1FJH9v4SAza0Dweo8AaoePk1nRLal7EqzMsbjotqeSHDQGVaSKMLMv3H2f8PEwdz856pik8plZXaCwqtyEI+wJ6kiw9i0Et3D+2t3/HV1UlcfMegO7AdPc/f2o44kVM7sD6A2sBvYH6gNvu/sBmz1REoYSVCkW3s+57CzQm6OLqPKZWWvgMSAnvB1kR+B4d7814tAqXJnld6rEZJmqzMw6AM8TrIcJsBA4L5knioWrVOxEMEGq+PbF7v5GpIFVEjN7lOCaPYHg1q5vufst0UYVO2Gr8XJ3LzCzmkBdd58fdVxSMZSgCgBm9jhQk2B84lMEYzEnufuFkQZWycxsNHA18ESJ5G26u7ePNrKKV6YFtfixJCczm0CwPuSocLsHcJu7HxRpYJWsiq1SMR3Yq0SCNraq1B0gHG/bltKNKs9v+gxJJMk+Lke23kHufi6wxN0HEtwicueIY4qFmu4+qcy+9ZFEUvn2KprBDnSsYjPaq6JaRckpgLt/AiTzXcOKVKVVKta6ewGAu68i+e+YVczMBgAPhV+HAncR3PpUkoQmSUmR1eH3VWbWlGBiQYsI44mVheE9yotu+3kK8Hu0IVUOd0+NOgaJqZ/MrD/wQrj9Z+DnCOOJlSqzSgXQpsTtPQ1oFW4nc52LnALsBXzp7heEa98+FXFMUoGUoEqRt82sPsFtIL8gSNiqwh/7JcAgggv9XIJ/4GdHG5JIhfgLMJANd80aA1wQXTiVq4quUrFn1AFEaLW7F5rZ+nAiYC6Q1Hc+rGo0BlU2Et4aMsPdl0UdS6yYWS2CIS+rgdPd/cWIQxLZbmaWCrzv7kdEHUusaJWKTTOzie7eJeo4KlI4Qawfwd3//gWsAKa6e9J+CKtq1IIqxczsIILFndPC7aQdcB5+4r4EaAa8SbCQ9yXAVcBXgBJUSVjhpJlVZlavCn3QLDn+Ui1ppWVsuUhicfeLw4ePm9l7BDP4v97cOZJYlKAKAGb2AtAKmAoUhLudYJmaZPQCsASYCFwEXANUA3q7+9QoAxOpIH8A08zsQ4KxmAC4+2XRhVSpfBOPJQl/H+EdpP7n7svc/Rczq29mvd19eNSxScVQF78AYGYzgbZeRd4QZjbN3TuEj1MJ1ojcxd3zo41MpGKY2XklNov+ri28V3vSMbMCNkyKqgGsKjpEMGGoblSxRS0Zl5Uzs6nu3qnMPq3vnETUgipFpgONSdIZ7OUound1UXfoz0pOJRmY2QnATu7+SLg9CcgiSFKT8m5KoFUqtiAZl58qb5lM5TRJRC2oVZyZvUXwj6sO0AmYBKwpOu7uSbmuXInWFijd4lLlW1sksZnZeOAMd58dbk8FDiO4P/sz7n54lPFJxQsneRbNam8NtAFGuvu68Hj7ZLuDmJkNBpYCjxD8D7sUaODu50cZl1QcfdqQEUAOMLbM/u7A3NiHExtqbZEkVq0oOQ2Nc/fFwOIwkZHkMwboFt7682NgMnA64ZJ5yZachi4F+gOvEDQsfEAw0VWShFpQqzgzexvoV3b2o5l1Bga4+3HRRCYi28PMfnD33TZx7Ed3bxXrmKRyFY0xNbNLgRrufpfGY0qiUwuqNC9vaQ53n2xmzWMfjojsoM/M7CJ3f7LkTjP7G8EQHkk+ZmZdCFpMLwz3JeX/dzN7wN0vLzE8rZRkHZZWFSXlG1i2yebWx6sRsyhEpKJcAQw3s7MI7goHsC9QHegdWVRSmf4JXAe84e4zzKwlMCrimCpL0a1774k0Cql0SlDl8020tlwITIkoJhHZTu6eCxxkZocB7cLd77j7/yIMSypXTsmWQ3f/yczKzitICu4+Jfw+OupYpHJpDGoVZ2Y5wBvAWjYkpJ0JFq0/0d3nRxWbiIhsWXnrnCbj2qcQrGFN+TceKFqBpWOMQ5JKohbUKs7dFxC0thwKtA93q7VFRCTOmdkxQE+gmZn9t8ShusD6aKKqdL2iDkBiQy2oIiIiCcjM9iJYv/pm4MYSh/KBUe6+JJLAYsTMdgV2d/ePzKwGkKYbriQPJagiIiIJzMzSixblryrM7CKgD9DQ3VuZ2e7A47oRRfIo71ZhIiIikjj2N7MPzWyWmf1kZj+b2U9RB1XJLgG6AssB3P17IDvSiKRCaQyqiIhIYnuaYHmxKUBBxLHEyhp3X2tmAJhZGuVPnpIEpQRVREQksS1z95FRBxFjo82sH1DDzI4ELgbeijgmqUAagyoiIpLAzOwOIBV4HVhTtN/dv9jkSQnOzFII7pr1J4Ilpt4HnnIlNUlDCaqIiEgCM7Py7hrl7n5YzIOJITPLAnD3vKhjkYqnBFVEREQSggWDTgcAfQlaTo1g3O1D7n5zlLFJxdIsfhERkQRmZjlm9rSZjQy324a3q05GlxPM3t/P3TPdvSFwANDVzK6INjSpSGpBFRERSWBhYvoMcL277xXOaP/S3TtEHFqFM7MvgSPdfWGZ/VnAB+6+dzSRSUVTC6qIiEhia+TuQ4FCAHdfT/IuN5VeNjmF4nGo6RHEI5VECaqIiEhiW2lmmYTrgJrZgcCyaEOqNGu385gkGHXxi4iIJDAz2wd4CGgPTAeygFPc/etIA6sEZlYArCzvEJDh7mpFTRJKUEVERBJcOO50D4JE7Tt3XxdxSCI7RAmqiIhIAjOzk8rZvQyY5u65sY5HpCIoQRUREUlgZvYO0AUoWrC/B/Ap0Bq42d1fiCg0ke2WFnUAIiIiskMKgT3dfQEE66ICjxGsDzoGUIIqCUez+EVERBJb86LkNJQLtHb3xYDGokpCUguqiIhIYhtrZm8Dr4bbJwNjzKwWsDS6sES2n8agioiIJDgzOxk4mGAW/zhgmOsfvCQwJagiIiIJysxSgK/dvX3UsYhUJI1BFRERSVDuXgh8ZWa7RB2LSEXSGFQREZHE1gSYYWaTKHGXJXc/PrqQRHaMElQREZHENjDqAEQqmsagioiIJDgz2xXY3d0/MrOaQKq750cdl8j20hhUERGRBGZmFwGvAU+Eu5oBw6OLSGTHKUEVERFJbJcAXYHlAO7+PZAdaUQiO0gJqoiISGJb4+5rizbMLA3Q+D1JaEpQRUREEttoM+sH1DCzIwnuKPVWxDGJ7BBNkhIREUlg4WL9FwJ/IriT1Pvu/mS0UYnsGCWoIiIiCczM/unuD25pn0giURe/iIhIYjuvnH3nxzoIkYqkhfpFREQSkJmdCZwFtDCzESUO1QEWRROVSMVQgioiIpKYJgC/A42Ae0vszwe+jiQikQqiMagiIiIJrsydpGoAabqTlCQyjUEVERFJYOXcSWondCcpSXBKUEVERBKb7iQlSUcJqoiISGLTnaQk6ShBFRERSWy6k5QkHU2SEhERSWDl3UkKeMr1D14SmBJUERGRBGdmWQDunhd1LCIVQV38IiIiCcgCN5nZQuBb4DszyzOzG6OOTWRHKUEVERFJTJcTzN7fz90z3b0hcADQ1cyuiDY0kR2jLn4REZEEZGZfAke6+8Iy+7OAD9x972giE9lxakEVERFJTOllk1MoHoeaHkE8IhVGCaqIiEhiWrudx0Tinrr4RUREEpCZFQAryzsEZLi7WlElYSlBFREREZG4oi5+EREREYkrSlBFREREJK4oQRURERGRuKIEVURERETiihJUEREREYkr/w8PL2Wb4EjW/gAAAABJRU5ErkJggg==\n",
+      "text/plain": [
+       "<Figure size 792x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "import seaborn as sns\n",
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "corr = customers.corr()\n",
+    "\n",
+    "mask = np.triu(np.ones_like(corr, dtype=bool))\n",
+    "\n",
+    "f, ax = plt.subplots(figsize=(11, 9))\n",
+    "\n",
+    "cmap = sns.diverging_palette(230, 20, as_cmap=True)\n",
+    "\n",
+    "sns.heatmap(corr, mask=mask, cmap=cmap, vmax=1,vmin=-1, center=0,\n",
+    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5},annot = True)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Channel              0.760951\n",
+       "Region              -1.283627\n",
+       "Fresh                2.561323\n",
+       "Milk                 4.053755\n",
+       "Grocery              3.587429\n",
+       "Frozen               5.907986\n",
+       "Detergents_Paper     3.631851\n",
+       "Delicassen          11.151586\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.skew()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "[1035656, 633018, 779319, 379590, 388683, 188759]\n",
+      "[19.61, 24.82, 22.28, 28.08, 30.66, 28.13]\n"
+     ]
+    }
+   ],
+   "source": [
+    "c = customers.drop(['Channel','Region'],axis=1)\n",
+    "\n",
+    "top20total=[]\n",
+    "def top20sum():\n",
+    "    for col in c.columns:\n",
+    "        top20=c.sort_values(by=col,ascending=False)\n",
+    "        top20=top20[col][:20].sum()\n",
+    "        top20total.append(top20)\n",
+    "top20sum()\n",
+    "\n",
+    "top20totalpercent=[]\n",
+    "\n",
+    "def top20percent():\n",
+    "    for col in c.columns:\n",
+    "        top20=c.sort_values(by=col,ascending=False)\n",
+    "        top20=((top20[col][:20].sum())/top20[col].sum())*100\n",
+    "        top20totalpercent.append(round(top20,2))\n",
+    "\n",
+    "top20percent()        \n",
+    "print(top20total)\n",
+    "print(top20totalpercent)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "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>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>12669.00</td>\n",
+       "      <td>9656.00</td>\n",
+       "      <td>7561.00</td>\n",
+       "      <td>214.00</td>\n",
+       "      <td>2674.00</td>\n",
+       "      <td>1338.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>7057.00</td>\n",
+       "      <td>9810.00</td>\n",
+       "      <td>9568.00</td>\n",
+       "      <td>1762.00</td>\n",
+       "      <td>3293.00</td>\n",
+       "      <td>1776.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>6353.00</td>\n",
+       "      <td>8808.00</td>\n",
+       "      <td>7684.00</td>\n",
+       "      <td>2405.00</td>\n",
+       "      <td>3516.00</td>\n",
+       "      <td>7844.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>13265.00</td>\n",
+       "      <td>1196.00</td>\n",
+       "      <td>4221.00</td>\n",
+       "      <td>6404.00</td>\n",
+       "      <td>507.00</td>\n",
+       "      <td>1788.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>22615.00</td>\n",
+       "      <td>5410.00</td>\n",
+       "      <td>7198.00</td>\n",
+       "      <td>3915.00</td>\n",
+       "      <td>1777.00</td>\n",
+       "      <td>5185.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>439</th>\n",
+       "      <td>2787.00</td>\n",
+       "      <td>1698.00</td>\n",
+       "      <td>2510.00</td>\n",
+       "      <td>65.00</td>\n",
+       "      <td>477.00</td>\n",
+       "      <td>52.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Total</th>\n",
+       "      <td>5280131.00</td>\n",
+       "      <td>2550357.00</td>\n",
+       "      <td>3498562.00</td>\n",
+       "      <td>1351650.00</td>\n",
+       "      <td>1267857.00</td>\n",
+       "      <td>670943.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>80Percent_Total</th>\n",
+       "      <td>4224104.80</td>\n",
+       "      <td>2040285.60</td>\n",
+       "      <td>2798849.60</td>\n",
+       "      <td>1081320.00</td>\n",
+       "      <td>1014285.60</td>\n",
+       "      <td>536754.40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top20_total</th>\n",
+       "      <td>1035656.00</td>\n",
+       "      <td>633018.00</td>\n",
+       "      <td>779319.00</td>\n",
+       "      <td>379590.00</td>\n",
+       "      <td>388683.00</td>\n",
+       "      <td>188759.00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>top20_percent_total</th>\n",
+       "      <td>19.61</td>\n",
+       "      <td>24.82</td>\n",
+       "      <td>22.28</td>\n",
+       "      <td>28.08</td>\n",
+       "      <td>30.66</td>\n",
+       "      <td>28.13</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>444 rows × 6 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          Fresh        Milk     Grocery      Frozen  \\\n",
+       "0                      12669.00     9656.00     7561.00      214.00   \n",
+       "1                       7057.00     9810.00     9568.00     1762.00   \n",
+       "2                       6353.00     8808.00     7684.00     2405.00   \n",
+       "3                      13265.00     1196.00     4221.00     6404.00   \n",
+       "4                      22615.00     5410.00     7198.00     3915.00   \n",
+       "...                         ...         ...         ...         ...   \n",
+       "439                     2787.00     1698.00     2510.00       65.00   \n",
+       "Total                5280131.00  2550357.00  3498562.00  1351650.00   \n",
+       "80Percent_Total      4224104.80  2040285.60  2798849.60  1081320.00   \n",
+       "top20_total          1035656.00   633018.00   779319.00   379590.00   \n",
+       "top20_percent_total       19.61       24.82       22.28       28.08   \n",
+       "\n",
+       "                     Detergents_Paper  Delicassen  \n",
+       "0                             2674.00     1338.00  \n",
+       "1                             3293.00     1776.00  \n",
+       "2                             3516.00     7844.00  \n",
+       "3                              507.00     1788.00  \n",
+       "4                             1777.00     5185.00  \n",
+       "...                               ...         ...  \n",
+       "439                            477.00       52.00  \n",
+       "Total                      1267857.00   670943.00  \n",
+       "80Percent_Total            1014285.60   536754.40  \n",
+       "top20_total                 388683.00   188759.00  \n",
+       "top20_percent_total             30.66       28.13  \n",
+       "\n",
+       "[444 rows x 6 columns]"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "c.loc['Total']= c[:440].sum()\n",
+    "c.loc['80Percent_Total']= (c[:440].sum())*0.80\n",
+    "c.loc['top20_total'] = top20total\n",
+    "c.loc['top20_percent_total'] = top20totalpercent\n",
+    "c\n"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your observations here"
+    "# Your observations here\n",
+    "\n",
+    "# Regarding Pareto Principle this doesnt show up in this case, as we can see the top 20 accounts for roughly 25% of total sales \n",
+    "#            of each column, far from the 80% principle\n"
    ]
   },
   {
@@ -94,20 +799,135 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x20d59a50820>"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 792x648 with 2 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Your code here\n",
+    "# Im removing Grocery collumn as it has a high correlation ( 0.92 ) with Detergents Paper\n",
+    "#customers1= customers\n",
+    "\n",
+    "#customers=customers.drop('Grocery',axis=1)\n",
+    "\n",
+    "corr = customers.corr()\n",
+    "mask = np.triu(np.ones_like(corr, dtype=bool))\n",
+    "f, ax = plt.subplots(figsize=(11, 9))\n",
+    "cmap = sns.diverging_palette(230, 20, as_cmap=True)\n",
+    "sns.heatmap(corr, mask=mask, cmap=cmap, vmax=1,vmin=-1, center=0,\n",
+    "            square=True, linewidths=.5, cbar_kws={\"shrink\": .5},annot = True)\n",
+    "\n",
+    "#customers1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x20d59a2d2e0>"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 792x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f, ax = plt.subplots(figsize=(11, 9))\n",
+    "customers.boxplot()\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here"
+    "from scipy import stats\n",
+    "\n",
+    "customers = customers[(np.abs(stats.zscore(customers)) < 3).all(axis=1)]\n",
+    "#customers1 =customers[(np.abs(stats.zscore(customers)) < 3).all(axis=1)]"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<matplotlib.axes._subplots.AxesSubplot at 0x20d5a3d03a0>"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 792x648 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "f, ax = plt.subplots(figsize=(11, 9))\n",
+    "customers.boxplot()"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your comment here"
+    "# Your comment here\n",
+    "#customers1"
    ]
   },
   {
@@ -127,15 +947,219 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "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>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>0.199569</td>\n",
+       "      <td>1.051409</td>\n",
+       "      <td>0.115837</td>\n",
+       "      <td>-0.801844</td>\n",
+       "      <td>0.093798</td>\n",
+       "      <td>0.082291</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.372655</td>\n",
+       "      <td>1.085254</td>\n",
+       "      <td>0.427079</td>\n",
+       "      <td>-0.270462</td>\n",
+       "      <td>0.286944</td>\n",
+       "      <td>0.442510</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.444438</td>\n",
+       "      <td>0.865042</td>\n",
+       "      <td>0.134911</td>\n",
+       "      <td>-0.049739</td>\n",
+       "      <td>0.356526</td>\n",
+       "      <td>5.432937</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>0.260340</td>\n",
+       "      <td>-0.807866</td>\n",
+       "      <td>-0.402125</td>\n",
+       "      <td>1.322997</td>\n",
+       "      <td>-0.582369</td>\n",
+       "      <td>0.452379</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>1.213706</td>\n",
+       "      <td>0.118255</td>\n",
+       "      <td>0.059543</td>\n",
+       "      <td>0.468598</td>\n",
+       "      <td>-0.186092</td>\n",
+       "      <td>3.246130</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>409</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>1.936429</td>\n",
+       "      <td>1.577764</td>\n",
+       "      <td>1.428729</td>\n",
+       "      <td>3.633548</td>\n",
+       "      <td>-0.683778</td>\n",
+       "      <td>0.794505</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>410</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>2.907639</td>\n",
+       "      <td>-0.756220</td>\n",
+       "      <td>-0.938230</td>\n",
+       "      <td>0.672844</td>\n",
+       "      <td>-0.711549</td>\n",
+       "      <td>0.911288</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>411</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>0.389426</td>\n",
+       "      <td>2.333122</td>\n",
+       "      <td>3.633321</td>\n",
+       "      <td>-0.725295</td>\n",
+       "      <td>3.890255</td>\n",
+       "      <td>0.517350</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>412</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.043004</td>\n",
+       "      <td>-0.635345</td>\n",
+       "      <td>-0.710575</td>\n",
+       "      <td>-0.518989</td>\n",
+       "      <td>-0.688147</td>\n",
+       "      <td>0.729534</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>413</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.808043</td>\n",
+       "      <td>-0.697540</td>\n",
+       "      <td>-0.667463</td>\n",
+       "      <td>-0.852991</td>\n",
+       "      <td>-0.591730</td>\n",
+       "      <td>-0.975337</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>414 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Channel    Region     Fresh      Milk   Grocery    Frozen  \\\n",
+       "0    1.478044  0.587722  0.199569  1.051409  0.115837 -0.801844   \n",
+       "1    1.478044  0.587722 -0.372655  1.085254  0.427079 -0.270462   \n",
+       "2    1.478044  0.587722 -0.444438  0.865042  0.134911 -0.049739   \n",
+       "3   -0.676570  0.587722  0.260340 -0.807866 -0.402125  1.322997   \n",
+       "4    1.478044  0.587722  1.213706  0.118255  0.059543  0.468598   \n",
+       "..        ...       ...       ...       ...       ...       ...   \n",
+       "409 -0.676570  0.587722  1.936429  1.577764  1.428729  3.633548   \n",
+       "410 -0.676570  0.587722  2.907639 -0.756220 -0.938230  0.672844   \n",
+       "411  1.478044  0.587722  0.389426  2.333122  3.633321 -0.725295   \n",
+       "412 -0.676570  0.587722 -0.043004 -0.635345 -0.710575 -0.518989   \n",
+       "413 -0.676570  0.587722 -0.808043 -0.697540 -0.667463 -0.852991   \n",
+       "\n",
+       "     Detergents_Paper  Delicassen  \n",
+       "0            0.093798    0.082291  \n",
+       "1            0.286944    0.442510  \n",
+       "2            0.356526    5.432937  \n",
+       "3           -0.582369    0.452379  \n",
+       "4           -0.186092    3.246130  \n",
+       "..                ...         ...  \n",
+       "409         -0.683778    0.794505  \n",
+       "410         -0.711549    0.911288  \n",
+       "411          3.890255    0.517350  \n",
+       "412         -0.688147    0.729534  \n",
+       "413         -0.591730   -0.975337  \n",
+       "\n",
+       "[414 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 17,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your import here:\n",
     "\n",
     "from sklearn.preprocessing import StandardScaler\n",
     "\n",
-    "# Your code here:\n"
+    "scale = StandardScaler().fit(customers)\n",
+    "#scale1 = StandardScaler().fit(customers1)\n",
+    "\n",
+    "\n",
+    "# Your code here:\n",
+    "#customers1_scale = scale1.transform(customers1)\n",
+    "#customers1_scale = pd.DataFrame(customers1_scale, columns = customers1.columns)\n",
+    "\n",
+    "\n",
+    "customers_scale = scale.transform(customers)\n",
+    "customers_scale = pd.DataFrame(customers_scale, columns = customers.columns)\n",
+    "customers_scale\n"
    ]
   },
   {
@@ -149,13 +1173,227 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {
     "scrolled": true
    },
-   "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>kmeans_labels</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>0.199569</td>\n",
+       "      <td>1.051409</td>\n",
+       "      <td>0.115837</td>\n",
+       "      <td>-0.801844</td>\n",
+       "      <td>0.093798</td>\n",
+       "      <td>0.082291</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.372655</td>\n",
+       "      <td>1.085254</td>\n",
+       "      <td>0.427079</td>\n",
+       "      <td>-0.270462</td>\n",
+       "      <td>0.286944</td>\n",
+       "      <td>0.442510</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.444438</td>\n",
+       "      <td>0.865042</td>\n",
+       "      <td>0.134911</td>\n",
+       "      <td>-0.049739</td>\n",
+       "      <td>0.356526</td>\n",
+       "      <td>5.432937</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>0.260340</td>\n",
+       "      <td>-0.807866</td>\n",
+       "      <td>-0.402125</td>\n",
+       "      <td>1.322997</td>\n",
+       "      <td>-0.582369</td>\n",
+       "      <td>0.452379</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>1.213706</td>\n",
+       "      <td>0.118255</td>\n",
+       "      <td>0.059543</td>\n",
+       "      <td>0.468598</td>\n",
+       "      <td>-0.186092</td>\n",
+       "      <td>3.246130</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>409</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>1.936429</td>\n",
+       "      <td>1.577764</td>\n",
+       "      <td>1.428729</td>\n",
+       "      <td>3.633548</td>\n",
+       "      <td>-0.683778</td>\n",
+       "      <td>0.794505</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>410</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>2.907639</td>\n",
+       "      <td>-0.756220</td>\n",
+       "      <td>-0.938230</td>\n",
+       "      <td>0.672844</td>\n",
+       "      <td>-0.711549</td>\n",
+       "      <td>0.911288</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>411</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>0.389426</td>\n",
+       "      <td>2.333122</td>\n",
+       "      <td>3.633321</td>\n",
+       "      <td>-0.725295</td>\n",
+       "      <td>3.890255</td>\n",
+       "      <td>0.517350</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>412</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.043004</td>\n",
+       "      <td>-0.635345</td>\n",
+       "      <td>-0.710575</td>\n",
+       "      <td>-0.518989</td>\n",
+       "      <td>-0.688147</td>\n",
+       "      <td>0.729534</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>413</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.808043</td>\n",
+       "      <td>-0.697540</td>\n",
+       "      <td>-0.667463</td>\n",
+       "      <td>-0.852991</td>\n",
+       "      <td>-0.591730</td>\n",
+       "      <td>-0.975337</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>414 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Channel    Region     Fresh      Milk   Grocery    Frozen  \\\n",
+       "0    1.478044  0.587722  0.199569  1.051409  0.115837 -0.801844   \n",
+       "1    1.478044  0.587722 -0.372655  1.085254  0.427079 -0.270462   \n",
+       "2    1.478044  0.587722 -0.444438  0.865042  0.134911 -0.049739   \n",
+       "3   -0.676570  0.587722  0.260340 -0.807866 -0.402125  1.322997   \n",
+       "4    1.478044  0.587722  1.213706  0.118255  0.059543  0.468598   \n",
+       "..        ...       ...       ...       ...       ...       ...   \n",
+       "409 -0.676570  0.587722  1.936429  1.577764  1.428729  3.633548   \n",
+       "410 -0.676570  0.587722  2.907639 -0.756220 -0.938230  0.672844   \n",
+       "411  1.478044  0.587722  0.389426  2.333122  3.633321 -0.725295   \n",
+       "412 -0.676570  0.587722 -0.043004 -0.635345 -0.710575 -0.518989   \n",
+       "413 -0.676570  0.587722 -0.808043 -0.697540 -0.667463 -0.852991   \n",
+       "\n",
+       "     Detergents_Paper  Delicassen  kmeans_labels  \n",
+       "0            0.093798    0.082291              1  \n",
+       "1            0.286944    0.442510              1  \n",
+       "2            0.356526    5.432937              1  \n",
+       "3           -0.582369    0.452379              2  \n",
+       "4           -0.186092    3.246130              2  \n",
+       "..                ...         ...            ...  \n",
+       "409         -0.683778    0.794505              2  \n",
+       "410         -0.711549    0.911288              2  \n",
+       "411          3.890255    0.517350              1  \n",
+       "412         -0.688147    0.729534              0  \n",
+       "413         -0.591730   -0.975337              0  \n",
+       "\n",
+       "[414 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 18,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "\n",
+    "from sklearn.cluster import KMeans\n",
+    "kmeans = KMeans(n_clusters=4, random_state=0).fit(customers_scale)\n",
+    "customers_scale['kmeans_labels']= kmeans.labels_\n",
+    "customers_scale\n",
+    "\n",
+    "\n",
+    "#customers1_scale['kmeans_labels']= kmeans.labels_\n",
+    "\n"
    ]
   },
   {
@@ -167,11 +1405,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 19,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0    161\n",
+       "1    119\n",
+       "3     77\n",
+       "2     57\n",
+       "Name: kmeans_labels, dtype: int64"
+      ]
+     },
+     "execution_count": 19,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "\n",
+    "#There will as many as I initialize on the cell above , on n_clusters variable\n",
+    "\n",
+    "customers_scale['kmeans_labels'].value_counts()"
    ]
   },
   {
@@ -185,13 +1442,239 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {
     "scrolled": true
    },
-   "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>kmeans_labels</th>\n",
+       "      <th>dbscan_labels</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>0.199569</td>\n",
+       "      <td>1.051409</td>\n",
+       "      <td>0.115837</td>\n",
+       "      <td>-0.801844</td>\n",
+       "      <td>0.093798</td>\n",
+       "      <td>0.082291</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.372655</td>\n",
+       "      <td>1.085254</td>\n",
+       "      <td>0.427079</td>\n",
+       "      <td>-0.270462</td>\n",
+       "      <td>0.286944</td>\n",
+       "      <td>0.442510</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.444438</td>\n",
+       "      <td>0.865042</td>\n",
+       "      <td>0.134911</td>\n",
+       "      <td>-0.049739</td>\n",
+       "      <td>0.356526</td>\n",
+       "      <td>5.432937</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>0.260340</td>\n",
+       "      <td>-0.807866</td>\n",
+       "      <td>-0.402125</td>\n",
+       "      <td>1.322997</td>\n",
+       "      <td>-0.582369</td>\n",
+       "      <td>0.452379</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>1.213706</td>\n",
+       "      <td>0.118255</td>\n",
+       "      <td>0.059543</td>\n",
+       "      <td>0.468598</td>\n",
+       "      <td>-0.186092</td>\n",
+       "      <td>3.246130</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>409</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>1.936429</td>\n",
+       "      <td>1.577764</td>\n",
+       "      <td>1.428729</td>\n",
+       "      <td>3.633548</td>\n",
+       "      <td>-0.683778</td>\n",
+       "      <td>0.794505</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>410</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>2.907639</td>\n",
+       "      <td>-0.756220</td>\n",
+       "      <td>-0.938230</td>\n",
+       "      <td>0.672844</td>\n",
+       "      <td>-0.711549</td>\n",
+       "      <td>0.911288</td>\n",
+       "      <td>2</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>411</th>\n",
+       "      <td>1.478044</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>0.389426</td>\n",
+       "      <td>2.333122</td>\n",
+       "      <td>3.633321</td>\n",
+       "      <td>-0.725295</td>\n",
+       "      <td>3.890255</td>\n",
+       "      <td>0.517350</td>\n",
+       "      <td>1</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>412</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.043004</td>\n",
+       "      <td>-0.635345</td>\n",
+       "      <td>-0.710575</td>\n",
+       "      <td>-0.518989</td>\n",
+       "      <td>-0.688147</td>\n",
+       "      <td>0.729534</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>413</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.808043</td>\n",
+       "      <td>-0.697540</td>\n",
+       "      <td>-0.667463</td>\n",
+       "      <td>-0.852991</td>\n",
+       "      <td>-0.591730</td>\n",
+       "      <td>-0.975337</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>414 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      Channel    Region     Fresh      Milk   Grocery    Frozen  \\\n",
+       "0    1.478044  0.587722  0.199569  1.051409  0.115837 -0.801844   \n",
+       "1    1.478044  0.587722 -0.372655  1.085254  0.427079 -0.270462   \n",
+       "2    1.478044  0.587722 -0.444438  0.865042  0.134911 -0.049739   \n",
+       "3   -0.676570  0.587722  0.260340 -0.807866 -0.402125  1.322997   \n",
+       "4    1.478044  0.587722  1.213706  0.118255  0.059543  0.468598   \n",
+       "..        ...       ...       ...       ...       ...       ...   \n",
+       "409 -0.676570  0.587722  1.936429  1.577764  1.428729  3.633548   \n",
+       "410 -0.676570  0.587722  2.907639 -0.756220 -0.938230  0.672844   \n",
+       "411  1.478044  0.587722  0.389426  2.333122  3.633321 -0.725295   \n",
+       "412 -0.676570  0.587722 -0.043004 -0.635345 -0.710575 -0.518989   \n",
+       "413 -0.676570  0.587722 -0.808043 -0.697540 -0.667463 -0.852991   \n",
+       "\n",
+       "     Detergents_Paper  Delicassen  kmeans_labels  dbscan_labels  \n",
+       "0            0.093798    0.082291              1             -1  \n",
+       "1            0.286944    0.442510              1             -1  \n",
+       "2            0.356526    5.432937              1             -1  \n",
+       "3           -0.582369    0.452379              2             -1  \n",
+       "4           -0.186092    3.246130              2             -1  \n",
+       "..                ...         ...            ...            ...  \n",
+       "409         -0.683778    0.794505              2             -1  \n",
+       "410         -0.711549    0.911288              2             -1  \n",
+       "411          3.890255    0.517350              1             -1  \n",
+       "412         -0.688147    0.729534              0             -1  \n",
+       "413         -0.591730   -0.975337              0              0  \n",
+       "\n",
+       "[414 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "\n",
+    "from sklearn.cluster import DBSCAN\n",
+    "\n",
+    "dbscan = DBSCAN(eps=0.5,min_samples=5).fit(customers_scale)\n",
+    "customers_scale['dbscan_labels']= dbscan.labels_\n",
+    "customers_scale\n",
+    "\n",
+    "#customers1_scale['dbscan_labels']= dbscan.labels_\n",
+    "\n"
    ]
   },
   {
@@ -203,11 +1686,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 43,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-1    343\n",
+       " 0     71\n",
+       "Name: dbscan_labels, dtype: int64"
+      ]
+     },
+     "execution_count": 43,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "\n",
+    "customers_scale['dbscan_labels'].value_counts()"
    ]
   },
   {
@@ -234,11 +1732,51 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 44,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "No handles with labels found to put in legend.\n"
+     ]
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "\n",
+    "\n",
+    "plt.scatter(customers_scale['Detergents_Paper'],customers_scale['Milk'],c=customers_scale['kmeans_labels'],\n",
+    "            label=customers_scale['kmeans_labels'])\n",
+    "plt.show()\n",
+    "plt.legend()\n",
+    "plt.scatter(customers_scale['Detergents_Paper'],customers_scale['Milk'],c=customers_scale['dbscan_labels'])\n",
+    "plt.show()"
    ]
   },
   {
@@ -250,11 +1788,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 45,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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2nVOUlkw97GxBJqT25YOYqXydvYRCbzlHJPdkQts+tdq/VFGU5ksF8hYmPSqR63oe09jdUBSlAampFUVRlGZOBXJFUZRmrsVPreRl5fPx01+zZsEG0nu255zbT6HLgE6N3a0WxeXxsWhdFgAjeqYT6VCVFxWlIbXYQC6ln9JtT6OXv8elN/pZNSqa1x5sz9QjFvHAF7czdLJKyasPs1ds4v/e/AFNC+SwG6bJo5cex4SB3Rq5Z4rSeggpZYNfdNiwYXLJkiWH9Rpmye14S7/BZg+UpTVNcFVoXDWxJ7q9A+9ueqHe6o/sdBbzzY4lFHkqGZXcnXHJvVpFpkhhWSUn3vMmHl/wlnp2q4VvHrqUpLioRuqZorRMQoilUsqQfOIWOSKXRi64v6sK4gCaBja7yWlX5PPmY5FUlFQSEx9d52v9nreO/1v+IX5p4pcGP+Qsp0dMGi+OuKxq+zVDmszLX8/fJdtJjWjD5LQBRFscdb52Y/t56YYaviP5ZdkGphypyv8qSkNokYEc/2YQdpDBS9Otdug52IkQAnukvc6X8Zl+7l/5cdD2cC7Dy/qynXyTvZQzOo7E6fdw1Z/TyKosxGV4cWhWXlj/A6+OvJJuMal17kNjcnp8+I3Q/Uz9hkml2xfmDEVRDoeWmbWidwwJ4gB+H2RtjGTClCOw2a11vsza0h2Em5pymz5+2LkcgHe3zGFrRT6u3fVO3KaPcr+be1fMqPP1G9uYvhlY9dApJKtFZ2y/jIbvkKK0Ui0ykAtLOthHA8Gjbr9PY+Pa8Ux98Yp6uY5Vs2AS/hmDXbcy/+vFvLf4N7ymP+T7252FFLjL6qUfjaVneltOGNWbCNvem2KEzcoJI3vTM71tI/ZMUVqXOk+tCCHSgXeBVMAEpkkp/1fXdutKtHkOWfYIuL5E4sPjScdtvYubXp9Yb9foGZtGrDWiarS9R4Rupf+6Njx6zX/xP58GhKbjSSlbxGYPd587iUmDu/PtwrVIJCeM7MOo3h0bu1uK0qrUOWtFCJEGpEkplwkhYoClwKlSyjU1ndMQWSt7SGkABkIcntzmDWU5XLf4DfymgSHNQDBrP5RN58xm25ps3OfG4zk7AezBH366x6QyfczUWl/HkCZLi7ZQ6nUyKD6DZEdsfb+VFmeHs4g8dyldY1KJrcW+rYrS1B22rBUpZQ6Qs/vP5UKItUB7oMZA3pCE0IHDlwrYIzaNb4+8k/n5GyjxVjIkoTMdo5I4fvNHANg/LcE/OAqjqx0sAnwmROjEW2ufmpdZkce1i9/A6Q+M/P3S4NxOY4JqqkjPXGTZ42BkgpYM0dejRZ5Vr++1uajwubnjr+msLNmGVbPgNf2clzGGa7ofXfUpSEovuH9G+tYgLJ3AcQJCU+mSSvNUr1krQogMYDAQsiWNEOJK4EqAjh1b1kdvm2YJ2UqtbcdkdmzMQfgkUbdnY/SPwOhhhwoT99S2/FWcSYXPTbR1/2mIUkpuWvoOhZ7yoNn4GVnzGRjfibFteyE985HF1wPuwDfNHCh7CFO60KIuqt832ww8uOpTlhdn4pMGnt3PJz7aNp+MqLYc334w0ixBFp4FRj7gRBIB5c9A4gyEJaNR+64oh6LeHnYKIaKBz4AbpZQhT/GklNOklMOklMOSk5Pr67JN1mWPnoc9MjCdIwDLKhe2maWYXewgBJoQVBqeA7azoTyHIm9lyCNVt+Hj0+0LAZDlz1AVxPceARXP755aaj3KfS7m5a/HV+19uw0f72f+DoAsfxaMncCerfFcIEuRpXc2bGcVpZ7USyAXQlgJBPHpUsrP66PN5m7cGaO4adrV2FIikIDZRsd1eRLeE+MAiLFGkGyPOWA7Tr8HjfAPRSt9u28ExtbwJ0snyPJD6X6zVeF3o4vwf61LvbsDt/t7oHqeuwm+lUgzdN9TRWnq6iNrRQBvAGullM/WvUstx6TzxtH3tP5c+PvzuPDiMw00BDbNwt19T0OrIeDsq09ch7ApjnbNylGp/QNf6OngXxt6snCAOPDNoiVJccQRabHj9gYHah3ByKQ99V/283Ovxe9EUZqa+vhbOwa4EJgohFi++7/j66Hdw6ZgRyHfvf4rP783h4qSysN6rdSINnw4/kbO7TSGfnHpHJ02kNdHXcXYtr1qdb5dt3J339Owa1b03SPzCN1GRnQSp6QPB0DE3AxUn2uPgKirdj/sbT00oXFnn1NwaFbE7p+XVehEWx1c2e2owEERpxCaEqqDbSRCNP/SCUrr02KLZtXkk2e+5u17P0JoGpomME3JPR/dxKgThzZKf2prc/kuPt++iEJPBePa9mJy2oCqWi4ApusnqHgcjGwQ8RB9DSLy4haRq34o1pRmM33r72Q7ixiS0JnzM8aStDtlU5qVyKILAlNS0gfCBiIWkTgDoTfvsglKy1ZT+mGrCuRbVm5j6ui78biCF/DYI+3M2PEqUU2oWl+5z8V/1n3HzzkrMaXJ6OQe3Nb7JFIi2uz3PCmNVjcKPxRSSvAuAP+6wNSUfQKBRz2K0nTVFMhb1YTgr+/PxecNXS6vaYKFM5c1Qo/Ck1Jy9Z+v8ePO5XhMHz5p8EfeOv654CVc/tAaMvtSQbx2hBAI+xGIqEsRjskqiCvNWsusfliDnMw8TMMEQGqAGUgNlFKGDfCNZWnRFrKdRUEpdCYSp+Hhx5zlnJo+ohF7d2D5pRW89PV85q7cQoTdyln/GMj5k4Zg0VvVuEFRGkyrCeSf/XcmC79Zir+XA9f1yZgZdvBKbD+UYvmglOHHDmrsLlbZWpGHIc2Q112Gjw3luQ3al/zSCmbMWs7qbbvo3i6JcycOol1iXI3Hl7s8nP/oBxRXODFMSXGFi1e/XcDarF08fvkJDdhzRWk9WkUgLy+u4M27P8CdBJWPtgfH7pGhQ+A9Lo6kSd1ITItv3E7uo1N0MhahUX0SJUK30S06pcH6kZlbxMVPfoTb58PnN/lrYzZfzFvFtJvOpE+n8A8Fv5y3inKXB8Pc++zF7fUzZ+VmsvJK6Nh2/3P8iqIcvFbxWXf1H+uw2Cx4zogPvXXZNbbGlbLLXVqv15RSsuzXVUx/+DO+f+NXnOWuWp87LKELaRHxWPaZ79YQROhWjm3XcJ8cnvl0DhVuDz5/4NOBzzBxenw88sGvNZ7z16adIVu/AVh0nfXb8w5bXxWlNWsVI/KouEiQYHS2gyX03mXTLOxwFpLiqHnKoLo1C9Yz7fb32PTXVhJS23DuXadz7KUTEULg9fi485iH2bRsC+5KD/ZIG6/e+i5Pz/o33QZ1PmDbmtB4ZcQVPLN2Jr/uWoUhTUYlduf2PqcQaan7zka1tWRDNuGSmtZtz8dnGGE3leiUEo9V1/AZwVNDpilpl6gqNirK4dAqAnnfMT2JiI3AstGNd08Vwn14DS8d7bXbmkxKHxsWz+f2ydPwOAOTHzlb8njpxrcoLShjyh2n8eXz37Nh8aaqNEd3ZWAp/UNnP8vb65+rVW53nC2SBweezQMyUMGwMfLBI+zWsKNrq67VuAz+rH8M5OPZK4ICuUXXSG/bhj6dGm5aSFFak1YxtaLrOk/8eA+p8yT4JfsOMx3Cz+T4LBLKz8QsPA9pltTYjun8DJk3inf+73E8zuCCV+5KD9Mf+Ryvx8dPb88KyVUHKNxZRM6WXQfVdyFEoy3qOXPcAOzW4Hu9zaJz/MjeaFr4PrVLjOWlqafTqW1gZG7VNUb37sTL/zqj1S5OUpTDrVWMyAE69u7AiPePZef2xRjSRCCJ1b2cnbyRi1LWAxJ8K5AlUxEJ74acL71/QtmDgIvNq9MhTCErn9vL9SPupCi3hpuBbJyR9aG64viRZOYWMXf1Fmy6js8wGdStHbedNWG/5w3s2o7P/30xJRUubFYLUY7Ds6mHoigBrSaQz9r1NzN3LsO/O3n8xW5zGBJdUO0oH3j/Qhq5IUu1ZcVrQOCBZfvOHop2hS4gMfwmW1dloenhg3VSh0RSOzeNvSwrfG7cpo9EW3SNNxerRefJK09kR0Epm3MK6ZjchozUhFq1L4QgPiayPrusKEoNWk0g/2z7ItzG3nnwBEv1+t27CQuYxVC95oaZU/XHC27J5b6LuuBxhZ+ZMg2J0d6Kb1Is2AWRf3mJ2GRw78c3N/qIvMRbyb9XfsLiws0IIUi2x3Bv/zMYktClxnPaJ8XRPqn2D4IVRWlYrWKOHAgK4gALytLwmuGCqgBL19CXbaPYc98bNKaSO17YRtv2XjQ9NK3Dc0wsFS90xHNmPJ5T4ym9P4W899pzY9EMPsychxlmsU9DkFJyw5K3+LNwMz5p4DX97HAVc+PSd8h2FjZKnxRFqbtWE8iPTh2AQ9s7HfJeXk8qDBtes9qPQOsQdqNmEXUFiGj2BPMxx5Xx7uJMPt56FBb7PlUIYzXcVycHNlu2CBBg6uDXJbs8pby84SeeXPP1YXmPB7K+bCfbKvPxV9s9x28afLJtYZ3bL65w8egHvzLptlc45s5pvPT1vLBZL4qi1K9WE8hPTR9O15gUIvRAkC7zO7hkw0RyvdV2Vze2Iv1ZIecLPQWR9DVEnBmolmcdgtbmGeI6XM2kc8dicwRuEv4hUWDUXFHSbfqYuWMZhZ6G37knx1UcNm3QL022VVZ/XnBwPD4/Fz3+AV/OX01xhYv80kre+2UZN7zwBY1RYVNRWpNWM0du1628NvIqZu36mwUFG0gwZ3Fym/l0sFfbWELYAjvRW0I3iBZ6KiLuwZDXr3/hckoLyln2y0qE1Yqrhq3Z9rBpFrZU5JFYi63e6lPP2Pb4zNA9PO2alSEJB16otD8/LVlPUbkL/z754x6fn78zc1mdmUv/zml1al9RlJq1mhE5gEXTmZw2gPv6n8m1ndPpYA9TElZ6Qa/5wV84jkg7D351B+Nmnorr2BiI2P+P1Wf6aRfR8LVd2kXGc1Rq/6ApJl1oRFvsnLp7t6FDtWprLi5v6KIqU0q1NF9RDrNWMyKvTkRdjHTNCOwQU8UB9vEIS4ew5xR7K3h/6+/My19PvC2a8zLGMm73lm1z89bynbEGT+/950zbNJ0hCZ1pH1m7NL76dm//M+gV246Psxbi8nsY27YXV3U7ilhrxIFP3o9OKfHYrZaQOXFd00jbT7VERVHqrlUEcmk6wbcStBiw9AmsltTTIGEGsvxh8C4BEQmRUxDRU8O2UeJ1cv685yn1OXdPT+Txd+l2Lus6kYu7jOfTrEW4jdARvi404m1RlHgrEUIwKbU/d/Q55TC/45rpQmNKxhimZIyp13ZPHNWHV79dgGef+6KuCeKjIxjVO3SaSlGU+tPiA7npnAFljwbywzFAS4L4NxCWTghrj7CrOMOZsW0eZV5n0GYPbsPH65t+44yOI3EZnrDnOXQrjw48ly4xKTh0a9A+my1JXJSDN245h/vf+YFNOwOpjEO6t+ehi49F11rVDJ6iNLiWGVV2k94VUPYI4IY9iRPGdmTRPyH5t4NanLMgfyNeGfqg0KJpbCzLYXLqADaU5eA2q80TS+jTpkOLDeD76t4+iQ/uvoBypxtd04hUS/MVpUE0q+hSUVLJq7e8w+yP52MaJiNPHMq1/72EpHbh55ulczpQfaQsQZaAbwXYal/bu60jlrVle+8He/hNk0R7DKemd+DbncvYVlmAy/CiCw2L0Lmn3+l1DuJ/Fmzii+1/4jS8HJ02gGPSBmLRmu7enDGRjoM+p7jcyVs/Lmb2ys3ERjo4b+Jgjhveq9FXwipKc9BsArlpmtw8/j62r9+Jf/f+mvO//JO1Czfw9vrnsEcE1+mWUoJ/C6GhFwKrdIrJzczjl/fnUl5UwfBjBzPkqP5oNUwDnN95HAsLNgaNuC1Co3tMKh2jkgB4Y9TV/Jq7mnn560m0R3Nqh+FkRNettsrLG37iw23zqlamLi/O5Jvspbww/NImHcwPRrnTzbmPTqe43Lm7/G0pj0z/lXVZedx85vjG7p6iNHnNJpD/9esqcrfmVQVxCBSpqixxMveThUy+aO8/eClNZOkt4F8bvjHp5Y9vJU9cdBOGYeL3+vnutV8ZOKEPD3x5O3qYDRMGxnfitj4n88zamQD4pUGfuA48Mfi8qmOsmoVj2w2qt118djiLeHfr3KD9O12Gl7VlO1GYI6AAACAASURBVPg9by1Hpvarl+s0ts9+X0VppSuohrnL6+PjOSu4+OhhJMZGNWLvFKV+rN+ex6adhWSkxNOnU0q9ftpsNoF829/ZQUF8D1eFm80rM5nMPiM3z0/g/g0It1mEA49+LU9d8lZQzXB3pZsVs/9m7icLOXJK+IyOkzoM5Zh2A9lakUecNZLUiMO3/6TH8HH94jdq2ITZy5wWFMgXrsvC4wt9/mCz6KzNymNsv7otVlKUxuT2+vnXS1+yamsOmhBICV3bJfLi1NOJiaifHb+aTTpBh57tgmqa7OGIdpDRJz3oNen8gj0lZ4PpEP0v/v5rNCLMxgjuSg/TbnuXqUfczbTb36NgZ1HIMTbNQs/Ydoc1iAN8sf1P8jxlYb+nIWhjbZgSsVJKnG4vhnn4Cn2lJcSE3ajCMCXJcWo0rjRvL3z1Bys278Tt9eP0+HB5fazPzufJj2bV2zWaTSAfevQAEtPi0a37bEisa0RE2Rl/zhG1a0REIKx9sVhrnlsu2FHE2oUb+fK577ii/83kbD24HX3qSvqzkJ4/WJQ3L+xyegjkgp9Sx5WYtfHLsg0cd/frjL/lJcbf/BIvfzP/sAT08yYOwWYJ/p3omiC9bRt6dEgOe47fMMOuJFWUpubrBWvw+oP/Lfv8Bj8tXY9p1k8domYTyHVd579/PMyYU0egW3U0XWPo5IE8v/AxIqKCsyRE5OlAuJWKAmxD6De2136DOYDP68dZ6uStez6sdR89Lg/fTvuZ+099kuevf53Mv7fX+lwpXZhFlyMLTkCW/IvH09/i3o5/ohMaOC/vNpHOdXyIeiAL1mzjvrd/JK+kAsOUOD0+3vtlKS98Na/er9W9fRKPXXo8baIjiLBZsVl0BnRpx4s3nBYyj+jy+Pj3uz8x9sYX+MdNL3LWg++yfPOOeu+TotQXbw0VQA1TYtZTQTnRGJXphg0bJpcsWXLI50spkVLWmGESeNh5BxW7fuHD/8Uxd2YbrDYzsENPt+Gcev1xeJxe7j7+EaRpYvi9SNNg0LhyyostrFu29+N8XFIMn+a9ecA+OctdTB19N7u25eOu9KDpGlabhdvfuZ5/nDn6gOebpf8Hrq/ZN13Sbei8ndeLt3f1rnotzRHPl+NvPaQHJdIs2r3CNREs/fbbxsVPfsiqrbkhrztsFmY9fU3IXp71wTBNsvJKiI6wkRwXHfaY65//giUbtgeNcCJsVj64+3w6pTR8/RpFOZCbXv6K31dtDQraAhjUrR1v3HLOQbUlhFgqpRxW/fVm87BzXwfakFgIDZ/jEaaeVEZeVjE+b+AHuGNLBSvmzmL2R/O4adrVfLjtYeZ/8E8qSr0MGVdCu85evG7Bf2/twKwvA7np0fHhA0p1X7/4AzlbduF1Bz7um4aJx+Xl2SteYfTJw7DaQreG20NKA1xfAcFL/B26wVlJm5lRMBCBwK5b+M+wiw4piJsVL0DFKyDsBFa4pkDCWwi9XdjjswtKa2yrpMJFSnz9V27UNY3O+9lKbnt+CUs3bg/5mOr1+5n+61LuPu+oeu+TotTVbWdPYMXmnbi8fjw+P3arjtWi83/1+Pe1XgK5EOJN4EQgT0pZ76kUUkoWfL2EL1/4nsrSSsadPoqTrzuWyJiaCz3NnjGfwpzKqiC+L4/Ty3PXvMb4zM5MPC0X2PvRxxEpue7RncydGY/F5uCMm06oVR/nfLqgKohX7/uWFdvoObzbfs72B/VhX/FWuLX3SbSxRTE6qfsh5Y5L9yyofA3wBqo7AhjbkMVXIZK+CXtOj/bJLFoXWpdd1zQSYhtnL84dBaVYLXpIhothyqqyAIrS1LRLjOPLBy7hqwWrWZ25ix4dkjh9TP963dO2vkbkbwMvALUrXHKQ3rrnQ7547jvclYFph8zV2/np3Tm8tOQJHJHh03dWzV1Tdfy+pAV8R0Sjey14yn8jwhYaQC1WScceBgMnTeTEq46uVR+jaghuht8gYj83HAAh7EhLN/BvqP4dNNtITkodWqs+1EQ63wFZPYvHBP82pH8LwhJatve6U8awYkvgSfseDpuFK08YhTVMnn1D6JKWiDdMmqJV11W9c6VJi41ycOFRITMi9aZeHnZKKecCobl69aB4VwmfPjszKCh73T7ysgr4+d05NZ6X1jW1ateeIFaBb1IMRXclcdf27oR7RGCP0Hnqt2e47n+X1noa45Trj8MRFXxTEZogNaMtHXu1P+D5IvYhAg9o9wRJK4hoROxdtbp+dWtLd/B/yz/k4vkvkucMHVkHLmoBM/xORf0yUnl56hkM6JKGw2YhPTmOu6ZM5MKj6nZT2ZfL4+P17xdx5oPvct6j0/ns95X7zYpp2yaao4f1xGHbO/4QAuw2nfMnDam3filKc9Ngc+RCiCuBKwE6dqx9WdO/56/Harfg8wRPW3icHv78bhknXR1+xHzMJUfy0eNfsO+iIKmBjNED27HpgkWFbZkVk8bEtjn7nGlFc4wkbj+7yocz9rQRrFt0DF889z1WuwUpJbEJMTz09Z21Ol/YBkPSV8jKtwIjc+tARNQ/EXrqQfUDArXR71n+ER7Tj0TyZX4bLk7Jwa5VH81KsPYO2wbAwK7tePu2KQd9/drwGQaXPj2DzF1FVVMlz3w6h8Xrt/P45TVPZ91/4WQyUuKZMXs5FW4vw3p04OYzxtO2Te2eZShKS9RggVxKOQ2YBoGsldqe16ZtXNg9HzVdI7GGYlkAiWnxPP7TvTx+4XPkZuVjYmJ0deC8MxX0wChbWgRP/tCXIy7Iw2dq2DQTn96bmDb/Odi3hxCCK564kNP+dQJr5q8nPqUNfcf0rDGzJmwblgxE3AMHfe19mdLksb+/DKoJ81F+V45LyCTF5sEmfAQ+iNkg5t9hN5puCLOWbyIrvyRovtvt9TN35RY27iige/uksOfpmsalx47g0mNHNFRXFaXJa/JZK31G9yAuKRZ3pQe5T/K81Wbh5GuP2f+5o3pw7fypPPjbRxS6ypCp1YKWhMptcPy84+iWWoHTjOWGPlcyWgvd0UYaOeD+OXCS4yiEHn66JKldwgHTDaWUzP1kAR8//RWl+eUMO2YQF9x7BkntE/d7Xm3ke8qp8AXPhztNKxetP4opbXdyVUcL6CmIyAsR1sZb4r9kfTYuT/gFPSu27KwxkCuKEqrJB3JN03jyl/u496THyc3MR7doIOHGV6+iy4BO+z13ZfE2bvtrOp44H4RZ3o9PYptbjqtfBCtjkhBAW0cchmGw9KeVbFmRSVrXVMYcswnN+eTukySUP42MuRUt6uJDek/vPfgJnzz9ddW8/w9v/sYfny/ktVXPEp9St6X/URY7ZpiKjy7TwpyK4VyT8K9DbtswDFbM+pvCnGJ6j+pBh+6H/oAxJT4am0UPSSXUdY1kVSRLUQ5KfaUffghMAJKEENnA/VLKN+qjbYC0zim8tupZstbtwFnmouugDGx2K9L1LbLyZTAKwDYYEX0zwtodCCwKmrX9dY6M28LfzgR2feLFe1I8mBI0ARrYPyhC3+TBTAs8FJXA3fPep82dObtzwr206yIZOXwlNke1h3DlTyPtExCW/d9MqqsoqWTGE18GpSoafoPKMhefPjuTK564oE4/q2iLg7HJvfgjb13QbkYO3coFGWNrPM/r8/Pb8k1sySmia1oiRw7qim2fRT+5mXncMuF+yosrQUoMw2T82aO59Y1rD2r6aI+TR/flzR8WA3v7KEQgM+aIfhkH3Z6itGb1EsillOfWRzv7I4SgU++9myKbFa9DxfNUFcfy/Ib0LoDEz0A4kEUXcFliHmCiCcnXw9ry+vmp+EZGg11gWeJEFPoxMmzg2BuI8l5eT9m6MvzeQIAZ9o98wtc0N8H9I0RfeVDvI3N1Fla7JSTn3O/189dvqw6qrZrc2/8M7vzrA1YUZ2LVLHhNP2d3HM0J7cNnduSXVnDREx9S7vTg9PiItFv53xe/884dU6pWWD545tMUZBcG1Yb4/dOFDBjXh2MvnXjQfUxuE81z15/K3W98R4XLiykl7ZPieOaqkxotvVFRmqsmP7USjpQeqHyB4AqHEqQbWfEi+LeBkUOkvncUfdIxeWz8wcrcb0x0i8Rqk3g0DbZ7q0bpI2JyueW2xXR8xUNZkc7HL7bF74cls2OoKNXpN7KSdhnevdcLUwflQBLbJeDzhuZCCwGpGfVTPyXa4uCF4Zey01lMnqeULtEpxFprzmV/4qNZFJRWYuwO0k6PD4/Pz1MzZvPklSeSl5XPtjXZIQV+3JUevnrxh0MK5ABDu3fg+0evIHNXETaLTofkw1tRUlFaqmYZyDGya/iGCd4lYBazb5At8dso1Wycf3se1z6cUzVNYhqCR6/tyJwsLwPSi3mi8wIidqfoxSUaHHlaMbed0Y0fP0xESjBNwaQzi/jXEzsQwgKOyQfd9bQuKfQa0Y01CzYE1Ve3Rdg469aTD7q9/WkXGU+7yP3XH5FSMnfVlqogvodhSuas3AyA2+lF08NPn7id4Tedri1NE3RJq/tDXkVpzZpnINeSQYZf0o6WAmagTkilYeH+bSNYVJ6CRZjoSG5qs5wTYvYukLn/9Uz+eWQkV/9nW1UQB5ASHr2mE65KDSn3Lgqa9Xk8A0d7OPLCCxGWrkGX3rR8Kwu+WUKHHu0Ye9qIGuurPPDF7Tx6/v9Y/tsqdIuOzWFl6otX0Htk9xrf8uYVmfw2/Xd8Pj/jzzqCvkf0POCPqbZqXPK0ezFUhx5pRMZGhKyUtTmsjD+7liWEFUU5bJplIBdaLNJxPLh/ANz7fMcBMTdB6R1gurgncyRLKtrikzo+GZh3fSp7CKk2F0Nj8ne3BROPL6JjV3fQNbZvslOQYw0K4gBup87MD8Yw6Zprql5zVbi4fuTdZK3d+0nBarfw1K/30/eIXiH9j24TxaPf3k1pQRnlxZWkdW6Lbql5XvijJ77g/Qc/xefxISV8//qvHH3xBG544fLa/sjC2rSjgNkrN9MpNYEtOcHz3xZdY9KgQH0YTdO4492p3H/KE/j9Bn6vH0eUneT0JM665aQ69UFRlLprloEcQMQ9jBS23VUDAS0aYu5Gsx+BjHuavPwbWLo7iO/LLXXey+tRFchtdklsgkFJoU5Cyt5RvselUVN9KrcrOLg/dPZ/goI4gM/j5/bJD/F5wZsUyErsmoUkR2zQMXFJscQlBb9W3a5t+bz3wCdBD0fdlR5+fHs2R104fr+j+D2klKzNyiO/pIJeHduSEh/Dy9/M592fl+I3DAQC05RYdQ1TSuxWC4mxUdx29oSqNoZM6s/rf/+Hb6f9TF5WAYMn9efIKWOwORpnQZGiKHs130AubIFgHnsPmGWgJSFEYB5X2EdSFDUNq/YJXqN6xokg17u3wJW7UmPTKgcnXVHAgrIUXKaFodH5dOnjQreEX1F65JS9aXwel4clPy0P20ev18fpz/6bsuE2JJJu0ak8Nvhc0iJqXzd70bfLqqY4gtp2eZn35Z8HDORFZU6uee4zsvNL0TSBz2/wjwFdmLtyyz453LLq/xdNHsqAzu0Y068zlmrz4imdkrn0kfPYH7fXz/Nf/s7XC9bg8fkZ1qMDt599JBn7KU+rKErdNNtAvocQDtAdIa93ju2DIS1U34DZgsGw3aNxl6GzcnU0Rk8Hp244ARMNCfilxuUpf+O+NQX5UBH4JcIAaRcY0Rq9R+4tSetxBtcQ35e0QklpOT4zMOpeV7aDqxa9xhfjb0UXtcu9ttotYfez1HQNBDx75SvM+vAPDL/B8GMHc91zl9I2fe+qyLve+I4tOYVBDzNnr9iM3wjNuLFoGqnxsYwf2DXke7V18ytfsWzjjqqbxKJ1WVz85Ed8/u+LSVQLfRTlsGg2W70dLKvUuajdOBzavg8cA8Gsb2Qhi8uTeTJ7CLdtG8Nv43pTbtqpNK04TSteqTMttx9lQ2Ipf7kTnjPj8U6KwfWvFMpe6cjiBX9XtRiTEF3z9IgB/kF7R/8mkjKfi8WFm4MOyy+t4LEPf+X4/3udcx95n5mL1lTVlznilOFh9/XTdMHCb5bw87tzcFd68Hn8LPxmCdePuBNneSAts7jcyfItO0MyUsIFcQBE2MF/rW3eWcDyTTuDVmtKCR6fn89+r58ceUVRQrW4QC6l5KMnvuD0pEv4fPgbRD61i6QieyCiIPCj80DWSG7YPJ7vizvh6x6JX4ZOhvsR+LAgU614Lk7CdUsqvgkxCATlKXsDoRCCO965HlFt1CwtAve58ciE4A89pjTJc+/dfae4wsW5j0zn83mryS0qZ312Po9+8Cv//fx3IDCPfud7U7FH2IiIdmCPtKNZdRwjOpO9KTcohdE0Ja4KN79OD5zr9PjQw4zma2KakgkD97cBxv5tzS1CD5Om6PUbrMlq2E2sFaU1aXGB/IvnvuP9hz7DWebC5/Fj/FqI74LVWL8uCXt8lM2BI7KGjZrDVF2UOoyfFFwgftgxg3h56ZMMGN+HmIRoOvXtwMlvnYl+fmgtEgn0a5Ne9fWM2cupcHkw9hklu71+ZsxeTnG5E4Bxp4/kw+xXueCx86gc05my84eRg4HfH7qwyF3pYfPyTADSEmKJiQjdeMOqawzonIbNqmOz6Nitgf/uOnciSXGHPv3RKSUh6H3sYbPo9OqQfMjtKoqyf81+jry6Dx75DE+YRSoR7xXiOyYuaDn+qJgiLm9fzrXrO1I9m1rHRAiJn72jdU2adIiMorv1N1b+PJNK93CGTh6GzWGj68AMnpm1twStx/Dx+/xsdjqLq2qeODQrY5N70iU6peq4xeuzQgpHQSD4rc/OZ1TvQC2XmPholtoMyromICVY4iKQmkBUe5jriLJXFRPTNMH9Fx3Nra9+g89vYJiBjJS4KAfPXn0ylR4vc1ZuwaIJJg7uXuea3t3bJ9Gvcyort+RUvScBWC06Z/5jYJ3abq427yzgj9WZOGwWjhrSXT0nUA6LFhXITdOktCD8jjc4JdZfyvBNjgW/5NwOG7k2fT1Wzcc1acW8ktMPr9SRiMAO19EFnJywhad3DMGQAr/U6BlZzCMdf0BzuejSWeB1T+Nfo/ty3QsP0m9McL64Xbfy1qhreWfLHH7JXYlNs3JGxxGc0XFU0HHtE+NYsTknaIdtCMxjVw+sC9dlVX1I8LeLxYxxIEpciN1z4JomsEfYmHTBuKpzjuiTwfS7zmfG7OVkF5Qyomc6p43pR0ykgwQiuaCed9b537Wn8uxnc/h24Vq8foNB3dpx15S6jfSbIyklz3w6h89+X4Vhmuiaxn8//51HLjmWiYMPnDKqKAdDhNu04XAbNmyYXLJkSb23K6WXi7peRm6mu+ZjojQiu8CMr5Zjd+x9749lDeGbogxAo19UMU91nkucxYdfCra6Y4nRvaTagut8mwZsW+/gljMG83HOa4eUU71+ex6XPD0jaG9Mq67Rq2Nb3rk9uBbZcXe/xq7iiqqvhcdP5Lwt2DcXogvBkEn9mfrSFaR1SaEp2JCdz4zZy8kpKmd0n06cNqYf0WGmelqipRuyueHFL4J+rxCo7vjzE1cRpfLvlUMghFgqpQzZ/LNFzZHL4uu48t5N2KuXnN2HqDQZ3KEyaGec1ZUJ/FjcERMNE4jVXegiEOQtQtI9ojQkiANoOrTr7CEx1c2Sn1YcUp97prflscuOJyEmEofNgtWiM6xnOs9dd1rQcV/OW01hmTP4/dot+I7uzbBXLuIH70c89sM9TSaI//rXRv755Ed8teBvFq7dxktfz+ech9+ntLLmm2xL8t2fa/F4Q8tI6JrGgjWZDd8hpUVrMVMr0rcGvIsYc5ybe9/w8vbjqeRss9Ohq5vzb3Yy891Uls6SOKIdjDl9DFb721Xnfl/UEY/ce09bXJ5Sc/2R6teVoFvMkDokB2P8gK6Me7wLOwpLiY6wEx8d/PB1Q3Y+T8yYFTZtsF/nVO45f3KtN4luCH7D5KH3f8bt22elrM9PYVkl7/2yhOtPqbkuekshZfjix3u+p9Q/05QUllUS5bAR2co+8bSYQI5vNXseWA4/spzhRwbPlQ8em8djN0wgY8BYRp58Au6Kj7HbnGg6eKWG3Cd0e6TOHVtH81TnBVg1C7qQGL5AoLZUq4NVUmhhx2YLQ47qX6fua5ogvYYyrp//sQpfmAeiETYrlxwzoslNV2zNLQp70/H6DWYt39wqAvmxw3vy45J1uKqNyv2Gyag+B7cZiXJgs1ds5tEPfqXc5caUMHFQV+49f3KrCegtZ2pFbx+ogFUDTfMzbOwyPnlmJlcMvJWXHxhH7nYbzgqNEdZcbAQHyiUVKZz413F8NWM0W7acww0n9GbrugicFYFruF0CZ4XGY9d04rLHzqdNcug+n/WlrNId8jAUAot3Klx1KyN7OERH2DDM8NNbMZFN66ZzuAzvmc6Jo/rgsFnQhNid5mnhgYuPDpsSqhy61Zm53P3mdxSUVeLxGfh2DxjuevO7xu5ag2k5I3LbaNASwXARbsMHixW69HXj8/goL6pgzZ9RXDK9F/bb21AwKglTE6DJvftFGBLj5RKm/VSGppcgtAimHt+dI44ppe/ISvJ3WJn1RSIjT5rM6f868bC+tfEDuzJn5RZc3mq7ChkmQ7t3qOGsxpOWEEv39smszdoVtKo0wmblvImDG7FnDUcIwV3nTuK0sf35Y9VWHHYrRw/tUecUTyXUOz8tDnke4fUbLFqbxa7iclLiYxqpZw2nWQdyaeSCsQMsXRBaPCRMRxZfC/7Q5eCGARtWBOae/V4/7ko33ktSKB0eA9Z9RvKGRP+zkoi3CtB3BAKnaZi7t5YU/PFdGxbPbos0JWNPH8m/Xr6ixv45y114nB7atI2r0xz2pMHd+WTOCtZm5eHy+hCA3WbhkmNGNNm0vmeuOolrnvucnKIydCHw+g3OHj+QyUN6NHbXGlSv9Lb0Sq+fnZ+U8LbnlYR9HmG16OwqrlCBvKmS0o0suRk8v4OwgfQgI6cgYu4G+1ikbzVCBP9qNQ1+mrG36mBK52S2nSJBrzZ6twjMDFtVEA8nJaMtj/9wD8kdEpFSYkoTbZ9pnbKicp665CWW/LgcIQSJ7eK59Y1rGTih7yG9X4uu8fKNZ/Dj4vX8tHQ90Q47Z4wbwNAejT8al75V4FsLeiewjai6YSW3ieaTey9kbVYeBWWV9O2UohbDKIfFoG7t2RLmuYzfMOic1jqqbjbPQF72YCCI4wG5e47Y+QlS74j0LAwJ4gCuSo3ouL2/6BNuPIaFlh/CphbI+P3/WCxWHVvbCO5Z8RG/5f6NaRj02RhH/6xEMjq14+d3Z7N1VRZ+X2DePXdrHvec9BgvL3uKDt1Dl+3XhlXXOXFUH04c1eeQzq9vUrqRRVeAf2XgZygEaO0g8X2EFvjHI4SgT6dDT4d0e/3MWr6JnYVl9OrYltG9O4WtBKm0bhcfPYzv/lyL0+2repbksFk4f+KQVvM8otkFcim94PoaqF4+1gXOtygr6Ul0BOjV3pmmSfJ3Bp5gCyE44qihJC7+gzxPWcg1LJtqznW2RdiYcM4RXPXnNLIqC/B7/UTdvYOszZvY7pZY7Bb8ntD8YZ/Hz5fPf8f1z112sG+5SZIVz4NvObD7RioBIxNZeg8i/qU6t5+VV8IlT3+Ex+vH7fVjt1nISInn9ZvPJsIefgs9pXVKS4hl+l3n89JX81i8YTvx0ZFcNHlokxn0NIRmF8iRbmrcvd4spaD4ZOyW2eiWvcd4PYKNKyPZsSVwd45PjSMiysFNvY7n3pUf45d7j7UKnVHb2rE1vgSL1UJ5cQUg8PsC25u165pK+nm98GxexMVt19GnLI+tJ+p8+1YSRW5r2CAOYPgNstfvrPPbz84v4Yt5q8ktLmd0704cPbQHNmsj/Bqdn1EVxKv4wTMbKb1BC64Oxb1vf09pxd5sHZfHx+adhbz+/SJuOPXwpS96fH7WZu0i0m6je/ukJpWfr9QsPbkNj11+QmN3o9E0u0BeUSKQZbFExxZV+44A2wg6Dz6ax87uwdX/3kRUjIGmw7I5MTw5tSMA9kgbVz51EUIIlhVn7q6sspcmBFOfuJTkx6KY/9VicjbnUpBTjMfpYdjRg/jHWaP5bdfXvN19JjbNwJ5mMryT4LRLCrjp5O5s2xC6yQUENioecIhz5HvMX5PJra98g9808Rsms1ds5p2fl/DObVNqzJctL65g+W+rsUXYGDypP7Z6G83W9AxBAqE57wejrNLNuqy8kJRLr99g5sI1hy2Q/7h4HQ9N/wUhAlvfJcVF8dx1p9IppfY7OilKY2hWgbxgZxFX9L+ZHgPiuf+NYqw2iW4BU+poWgQi5jYsFgvHX/sQl459ksQUN6WFJpXlVjRN0GVgOv98cAqjTxpGqdfJV9lLqioT7uGXJs998jEbpy4AwDAMQHDS1ZOZdP44hBCMsn9MlOljz3StzSGx2CTXPZrN7WeG1vPWLRqRsZGceOXkkO9tzS3ixa/m8dfmHSTERHLpMSM4bkSgAJerwsWCr5dQWeZi8FH9ufetH4JWS7o8PrbnlfDBrL+4/LiRIW3PnPYzL9/4FharZfemEYKHv7mTfmN7H+qvYC/7RHDPJDhoC7D2RYhwZYFrb38LHw/XoshNOwp44L3g1ajZBSVc9d9P+faRy9C1lrPkoqlyeXx8MncFvyzbSEyknXMmDOIf/bs0dreahWYVyB86+xkqiitZNieam07uzlnX5pHezUPmhgQmX/0ewhLI4hg6eSDvbHyBWR/Oo6SgjCGT+pPUPgHdolfVIsl2FmLVdLxm8FSI4TVYNXUusiI4wH877ReGTu7MsGPGEStXVa96i6ZB/5GV7H7yB0CbtrGAYOQJQ/jng+cQmxicBpWVV8KFj3+Ay+tDSigud/HQ9J/JKSpjWGQ095z0GMhA+qNpSoy+KTC8Y1AbXr/BT0vWhwTyrau28fJNb+N1+4I2bv6/Ex/j45zXMUyVdAAAIABJREFUsNfxIZCIuQ3pXQBmOeACHCCsiNhH69QuQFyUgx4dklmTtStoObvNonPCyHq4CYXx6e8rQ8oJSxlYcPXXph0M65Few5k1M03JonVZLFybSZvoSE4Y2VvlkdfA7fVz0RMfkl1Qimf3zXT5pp2cP2kI1558RCP3rulrNoHc6/ayZv6Gqq+3rPl/9s47PIrqe+OfO7M1jXQIJfSO9CogVWmioCIoiJ2i2P3aUbFiFyvYERBUEESKdBCk9x5KaIGQXrdP+f2xYclmNxAg/hTlfR6eh0y5987szDvnnnvOe6y8NaZId1uWaHNLKNGVzh4fXSmKmx7tx+ZVO3l18AfYc+1IkqBijXhe/PkJEupG49ECXQCGXXaELgIsP6fNyaKJb9CqpQ2QgUBfuNslKM7wtlw7fe7vwZiP7g3qa/1qwXqcbsWPrJxuha8WbCAjexFPvp9GYb7EgqkxJG0LxbDzFIbKFVCq+GeRBlv8W/TdSr/qQT7osOn37XQaGGjBXwiEHA+xi9Adv4GyA+Q6iJCBCCmao6ezSc0uoG6V2IuOc3/t7j7exU6PisPlIcRspGpcZNCZR3kgM89WavZsbmGgYNr5oKgaj372K9sOn8Th8mAyyHwxfz3vjriejk1qlseQ/1WYv2EvJ7POkjiAw+3h+yWbGdy12ZXQ1fPgsiHyo3tOIIQgmOyupmqsmPEn14+81mdprkzbw/hts8lWbfB5PObZOZinZ5OSdIonur7I9BOTaB5Vg41Zh/wbU70Lnq4AohZ4PBpo6XiJ3EhxP7HLKVjyk3/MqsetsPi7lTS9pjFdBnUIGPeO5EAdcgBJOOkzJpsmNfJQVeh6Yy7fjq/EnK/isexPo7AYkVtNRgZ1CSzaYMuzeROZSkDXveXgygqPqjJp3jpm/rETm9NDs9oJPHVrN+pVjUNIoYjQIcAQAAocLh77/Cf2HE3DaJBwe1RuvLoxTw/ufsFhg9UrRjH/tftYuvUAqdkFNEiMp2PjGn+Zi6PzVbVYt/dYQPasR9FoVrvyBbf3+6b9bDt00tfeGWv/2W8WsOztURgNgeUF/8tYvetIgOQveJN6dian0q35xZcg/C/gsnH8RcZXQMilk8G3L8xgTLtncdicbMo6zNgdP5GNHWQBIRKum6Nw3uWtLu8sdLFmzkZS7FkB7SjNQ3ApgQt5lhCV7jedKRengYjA604IQ9PMJO+L4ctXz77wBqNGn6GZvDZlN4kJj6EVfoamuclyFZBcmIaiqVSJDa7PoqhQNd4r+iXLYAnRufe504RHKpgliRCzCavZiMko07tNffq1DXQ3dBzQDnMQXRNVUWnZs2mp97EkXvzud6Yt20a+3YWqaWw9eJJ73v2RU1l5Ace+MmUxu5JTcXkUCh1u3IrKb+v3MvOPi5P4tZqN9O/QmBH92nPNVbX+Uj917zb1qRpXAXOxCCCrycDQHi2Jq3Dh7pB5G/YFfBTA667ZeST1ksb6T4bLozBl6WaGvDaFoW9OY9bqnaXq7hRHbIXQoB97XdeJDLu0NZf/Ai4bizy+WixNOjZg1+q96EGeC5fdRerhNBZ+tYzf26fg0kq8RBYJ9/UVsEzNwuNWSEnPID06kIwwCvI/qkbEiGMgvNorlhCNll0K6NjnzPE6yLGIyCmgHEaWayHHgCS/AjiRJJ03pydTv4UNsxXAjl74IWrBx7x+pBNbbVWQhMRNrTux/fBJP0vEbNDoUv8IkSH+oX0et6BVNxedbh+GqWFlsvJtNKtduVTFRKVGFLb4UOQUD0LR0AHJKHPb8zcRk1C2KIy0nAJWbD8c4Dt2KypTlm7h6cHdfdvsTjd/7DqCp8QswOlW+GHFNm7t2rxMfZYFiqqxM/kUug5NayWUi3VrNhr47qkh/LJ6lzd71nppi22GIEWowUtMpe273KFqGiM/nMmBExm+ReP3Zq5i7d5jvDey/znPvbVLMxZs2Iez2JqVEFAh1EqzWhc+I/qv4bIhcoCXZj7JuJvfZc/aJNQgsq4uh5tVP6/jxFUhpbahR8qIdIXpL89EmVoDgnCAXsWIFmfAlOem3x1ZXN0rn2YdCznr5jaAsTXCUAcM3ilfnRYKksH7grbpkU+dpvYiEvdCAAah8nqN1dyyrzcZnhB+KlzFnQN78vOCPdicHnRd57pmDp7utSpgTEJAlXp16TywHUK4wbUOOIWutUdI/hajomq88O3v5F9XH9PRbIyHs8AooTepjLFj2aeoR9NyMBnlACJXVI39x9P9tp3RgAmGgiA1VC8W2w6d5ImJc4t9MHSG9WxFalY+IWYTN17dmPoXqW1iNRkZ2qMlQ8uh/N3Aq5uw7eDJAKvcYjLSpEalUs66vPHnnqMcOpnpF/njdCus23uUvcfSzpnlW69qHC8M68kbPyzzhX9WjApjwoMDrmTzlgHlQuRCiN7ABLy0+JWu6+PLo92SiIgJ572V49i4cCuv3PIeLkfJ7E7QwyVCDGay3IWBDWggsr0PmZrnQWR70GMNUHIh0qOj1jGjrFOIjFGo38LuO0RVQDZaEWH+YlkGo4H/fTuGr558hQH3ZhASFjxQTkanb9RxJqc3wKl5OBB+lMXjR5KVbyPMasYi9qJnz6BknLbRGsbw199FeNah547Bt6iqK+gV3kSynk2G2H8iHUXTQAjcNWNw14zx7VuwcR+Dy2gdJ8ZH4vYEfjAlAfVKkGV0eAgxESGkZheUOFZwdTnpbxc4XDz0yWzsLv97M2neel9fs//czcMDOnHb36yy2L1FHdbsOcLvm5J8VrgQgg9G3/CvDWXccuBEwG8DXkt9++GT55Vr6Nu2IT1a1GX/8XRCLSZqV465kpBVRlwykQshZOBT4FogBdgkhJir6/reS227NLTp3YLYqtGcOpTmt/gpLDI7u9hx2INEazg0zDOyEcV2hd95FEIErhsicQ2N8frTAVSQ0rwHTn67EqeOmhg0OoMKMQo71oYzc1JthPFj7nz5Vtr09hKGrmu0ajeVlosPIMleX2iwZ9Ag6UQazi42nnbmIkmCOF9YWjP08Ceg4F0QRrzhjGZMFb8BHOi5D4BeIooi7xl0U3OEXAXw1vwsrQqNyVD2nzwhOoLOV9Vk9a4jfla5psOJ9Bw8iupzawgheHHYtTw2cS4eRUXVdEwGGavZyOgbOpa5z3Nh+bZD54wj13Qdl0dhwpzV9G7bIKDS0v8nhBC8dMd1DOvRkk1JJ4gItdCtWZ1/tbxAfGQYZqOMq8TH3yjLZY46MRsNF7W4/F9HeZgGbYFDuq4n67ruBmYAN5ZDu6VCCMHr858jPjEWa7iFkAgrslnGMygae3OT/8uu6UhpHixfZGCemePfDiDsOubZuVi+zPBu9OhIKW6kZJfvqCU/xTCiWwMGN23CG6Oqc2CbQtLGQ4y75V2Wz1gDgG7/GSMrMVt1jCY9KIkD2FWZjQVey8QoZNrF1A44Rgq9ExG/GlFhPCLyE0T8GoSxETiXlJIRo6E75vn+qlc1jsjQwAxTq8nILZ3LvtAJ8PrdfagaxA+/7dApvpi/3m9bu4bVmfrM7fTv0JgWdSoz/NpWzHxxOJVjIi6oz9JQYHeiBHGplYRBkti473i59HmpqF05liHdWtC3bcN/NYkD9GnTECnIbMNokOnSNPA5v4LyQ3m4VqoAJ4r9nQIEBPsKIUYAIwASExNL7r7wTusk8P3hT9i77gD5WQVMMqwl6egxLJ+kYVxTgMjX0eJltFEJjG7eh8x6Kcxd+nuxkLyzTCtcOqbf83HdHo2c5ML63mnfXiEJTBYjHqcHTfNnUZfdzaQnvqfb4I7gmIYgMN64uGXu0iT22qNZX1AJg5AINZi5vWbnoNcnpEiwXFeiMRvB098V0M+6NLxT+BsZ+eFMFFVDVb2Lnde2qsd1rc+vB67rOhv3H2dj0gmiwqycSM8JOMblUZi1ZhcP3uhvbddKiOHFYYEZrOWBNvWrIUtSwIJqSQghsJgu7tHeciCFT+f+yZHT2STGR/LADR1p1+DSn9f/AqIjQvhkzECe+Wo+hU43uu6VOXhv5A0X/XtcQdkggsVlX1ADQgwCeum6fl/R33cAbXVdf6i0c1q3bq1v3rz5kvotjpy0XIZ2eQx3ciEo/kmXOmA0G1DdCrquY7ZquByBK5ymUI37pmQy/YEock57LSeDSebOV24jPDKEzx77DncQn7xslJmV/jVW902gHil1jDoCB5V54uggMtx22sfW5e5a3YizlN1a1ZVk9MwbCRSrsiKiv0GYWvltdXsUVu8+Qk6hg5Z1qlArIYbzwaOqPPLpHHYkpxYlski4leDEaTYaWPdRqT/zX4KXJi9i6daDQUP7zsBsNPDIwI50alIr6GyiNKzbe4wnJs71W6yzGA2Mv7/flVTxC4Cm6SSnZmGQJapXjLri5y5HCCG26LreuuT28vhMpgDF85erApcu83cBGHfreyjJNj//9xkIKKZIKHC7JIqn0Z+BS5H5ULRGfA7i2XQM+50obpVD25J5YfpjzHx/HikHAi/LZDZiCbOAvS/YviKQZM/0rGPSMpjYqifCeHFVcoShFnrI7WCfAWesfxEC5h5gDIy0MBkN9GhR94L6+G3dXrYfPuULiSyNxCUhaNvgwtPWLxUvD7+Oa5rWYs6fu1E1ncgwC8u3HcIgS2i6XjRunQmz/+TDX9YwtEfLMotsvT9zlR+JAzg9Cu/NXHWFyC8AkiSoUyX27x7GfwrlQeSbgLpCiJrASbxpfreXQ7vnRa7bxosrprF3fRJCKdvMQtcEJR3NulngGhCJy1yUQPNaFSKGH0HYNdSiF3vY2Fv4YOQkXMVC6cwhZgY83AdZltFD70V3/g5aKuj2Unr3kJ2znZj4iy93JsKfAXNXdMccwIOw9Adz13Kzeuat3xs0ww68sdGKqvkKCT9xS5dy6fNCIISgR4u6dGtWxxeWlpVv48/dRxk/YzmA32Lb9BXb6NCoepm0Uo6klVTU9OJEei6apl8Jg7uCfywumch1XVeEEGOARXjDD7/RdX3PJY/s/P0yeuNXHD+RglWmdFXVIJBkHU0DdK/LQ4uVcQ06myQjJJ1aYwQVdzjofrvXB9ysW2P63Nedxd+u9MawC8GNY3pz57jBReeEQewccC4gM/VToq3HAxY8ZaGTmraOmPhbAa9LaN6kJRzYcpg6LWrSf9R1RFc6d7KOEALMHRDmDmiaztH0HELM5VeXUC6FrCwmr3WfXWDnqhqVGNTl/1//Qtd1vl+yme8WbybP5iQxPpInB3WlU5OaxESEIMtSwHPgcivMXbunTEQeEx5CRp4tYHtkmPUKiV/BPxrlsgKh6/oCYEF5tFVW7Mg9RqojB0+CAYtJIJxl9/Vr6llxKwFI6SrWT9JxPOUtwyZZBG1usjN0RDKS4XFeHdSb9fMPYDQb8bgVOt7Ulse/GIW1RGSIEGawDmTNcZXr6z3Hjxl1mZ5el3zVTOOQLB6pspOqEVsAOJF0koc6PIenSJ1wy+KdzJ6wgAl/vkb1RucnnbV7j/Lid4twuDyoukbdyrG8M6I/laIvjdAHdLyKvcfScJSwysOtZsYN7/W3EtrEeeuYsnSLb8ZwPD2Xp76Yx0djBpS6AKpDQEJTabivTzs++OUPvxmJxWTgnl5tLnnsV3AFfyUu28yEFHu210EiCxyPVEQ3C/SiqzknpYtA/7jw6Bj/tIHbSwZGodEuJh1LiMLXr1pYP38XbqcHW54dj8vDul838cuH80vtom3DJnyY0owvUhuToYTg0mW22uIZeagrmbrXiv3koW+w59l9ErMel7f90a2e5uOHviYnzavrklNg52iJwrLH03N5ctJvZBfYcbg9uD0q+06kM/LDmUFFxUqDpums23uMd35awefz1nIiI5c+bRrQ+apaWEwGjLJMiNlIqMXEe6Nu+FtJ3O1RmLp0a4Dbx+lR+Py3dbSuVzWg+C549Vp6ta5fpj5uuaYpI/q2J9Riwmz0XvvdvdqWS6bnFVzBX4nLNiaofkSCj7SUDmEUvl8N86+5iFQ3Vrsb5bC3IATg00yJr+ImL9sQNGoFXUe4dMxmhXYRaTQOyUbXYeG0GNxO/++dy+5m9scLaDi6BdVCYgMiT8KjEpmzvTYe3f88jyYxNasDL9eAHSv3BE3a8bg8zJu0mNWz1hP7aE+2nkhDliWMsszTg7vRp20DZv6xI4C0NE0nK9/GtkMnaVGnCqey8pEkQUJ08KgYVdN4ctJvbEw6gcPlwSBLfL94Cy8Pv47x9/Vj3/E0thxIITLMSvfmdYJWINJ1ndl/7uKrhRvJyrNRq3IMj9/chTb1y38RNKfQUepH6mhaNmFWM2OH9uTVaUtRiyooWc1Grm5YvcwxzEII7urVhqE9W5JX6KRCmAWjfEWl8Ar++bhsibxueAItomuyNTsZl6ag1TTjfDiOaKOL76otweBR+fGTeHauC6Vzvzx6355DVJzCa/dX58+FEWiaP8kaK0o0rZjFDbHH6B11DCFA8ZzRGA9Ebm4BT26diltT6FqxMS9fdQsGyfvSpziyMUlmPKq/w1ZFYp/dm8FpshpxFASf8muKRnZGPqdmb8LdvAooKg48vDptCZVjIjiVlR/U+hTCq0Xy8pTFZOR6i1xUjYvkrfv6+UIP8zLz+fq5H/h9wz6y2lZDL8rMVFQv+Y2bsphrrqpFw8SKNEw8d0r1lCVbmDh/nc9KTjqRwSOfzuHTh2+iRZ0q5zz3QhEdHlLqjKB20bX1bdeQq2olMG/DXgrtLro0rU2b+tUueCHYKMsXraN+BVfwd+Cyda0AvNNyGEMTmxJjshCC4NrIE0xusIy4SDdRcSr3Pp/K6FdPccvoTKLivGRzz/OphIRpGE1eIpRkDbNV5fUPDjKp3h/0jTrmy9Q3GKF6/UDtbh1QG1goVJy4NYVVaXuZeHCJb3+CNRJ3EIlGgU7NUK+F3OuubhgtpWf6CVVDPpHrt83lVpi8ZDPtGyYGTbBwe1S+XbSJlAyvQL/Lo5J8Kov73v8Jl0fB7XRzT7MnWPDNcvISwn0kXhyyJLH5wImA7SXhUVW+XLghqKvj07l/nvf8C4XRIHNXrzYB1202GvwqyFSLi2T09Vfzv1u70bZB4l8Ww5xvc7Ij+RTpuUE0fa7gCv6fcdla5LqaiSF3NPdHJnFPuEASDs5kB9sKJLauCkfXoUXnAjxub21PSYLKNdx8sTKJX76MY+/mEKrVdjFwRAbV67kAM0KORFPzkYQDHYmHx2fw7O018bh0NFVDlwGjwDEyzjcWl+Zh1okNjKnfG4AoUxg9K9Zn+elduPSzZGkWKndG/4yu38l944dyYv9Jdq7eh8cZRLdagBbhryeuA6lZ+fRr14jvl24hLacQT9FCntVkoF7VeJJOpAec4/aorNxxmAOLdpKXmY/QdISqlSoIUxZZ2NxCR9BZAUDyqUCd9/LAvb3bEmY18+3vG8kusFMrIYbHb+lC89rla/2fC7quM2H2amas3I5J9ipDXt24Bq/f0wer6d+dgn8F/1xcvkSeMwrdswchVIrzzpoFEYx/sDpC6EgSaJrgfxOO0/n6PB9vxVRSuO+FVJ8Pe1F2NV5fU5snW93MtAenc9O926nVSCYj1USeYwifbhrEz+/8SvKu4+ypmIXz5ij0BP+X1q54U5LPWIDP1XQRqRxjdlYibk2mqrmA/1XdTi0pD1fuUixRfRi/aCxH95zg+evfIO14pncd9gxkCedVCX59GGWJtg0SsZqNTHvmdiYv2cyyrYcIsRgZ3LU5R05nsyM5MGnJo2hk5BayeP4mhMdLvub96birR4PRn7QlIWhVt+p5739kaOkhedXiy55NeSEQQjCka3OGlKO2+YVi1upd/LRqB26P6lOGXLv3KOOnL2fcnb3+tnFdwX8blyWR68oxUA4ghL+P+ch+M6/dXwNd9yeYtx9OpHGbfURX9BetNwkvqfWMSiGpRiT371zKzx9tJtbqxGCEkHAHCc5J7EuqxpPfPAjAvesnsis3UJCpUWhldq3eh+LKpXE7gVFL4pEqW3mo8lY8uoRZ8vblcgp+Hj+RQWO7Yg2zUqNxNT5a/ya3tn0KTuWCEOhGmcIutVGjz/ppZUkQajFxR09vGn54iIUxN3ZizI1nsxZX7TzMT2YjjhJSogZZ4qpaCXwTYkQYJCRFw3gyD8ueVJxNij4WsoyQoFXdKmTl288bxmg0yNzRsxXfL9nsH65nNDC6/7+3WG7x8MczcHtUFm1O4rnbe/hVGLqCK/j/wuXpI9eyAxYrAV4fUSNoJIiiwMLp0bgcwS1Iq6wypOIhsMJ8ew0MRca20QTWMA3Z9Y7v2Ccb9scqm5CLbp2MREiSQs7ATYztP45xt7zLoCrvsu7XVehISAIfiQNoKmxdJVjw1TLftpiKkTwwdQz2u9uRe0tzcu5ojad6NEaDRK2EaCrHRDCgYxOmPz/MtwiXb3Ny5HQ27mIp5Z2a1KRmxWjMxaxsi9FAs9oJNK2ZQN1rm4AsfAIFoRuOY9lywvtVE15Py+rdRxj8+hRSs/PP+zOM6Nue+/q0IzzEjACqxETw+j19aN+wfPTH/4nIswUvxKzrelAt7ouFqmks23aQ579ZyJvTl7HveFq5tX0F/z5csmjWxeBSRbN0zY56uh2S5OLIPguLf4yiIEdm6azoohT8gDOQZJBlnc79c3nkrZNYQvz9u7mKid67b6Bd+Gkm1F7jt89pF4TUSvL9fcKWxdQjq9mff5I6hng2XjsXZ4H/oqjZovHlH/uJTfBwJoLNaRfsXBfG2Dtq0bRLI95bMc7vnGVbDzJp/jrScgupXzWOhwd2Dqgm4/IovDp1CUu3HvSVDBvWqiEtY6Op1qAykVWimbp0Cws27EeSBAM6NmZI1xYYDTJ7j6Vx1zNfE7LiIIYMG7osyBneJsC9IkuCGzo0Zuywa9F1Ddxr0F1rQIpGWG9EyP4uH13XUTTtPxGq98TEuazceTjAYKgUFc781+8tl8VVVdN46JPZPuEySQhMRpmHB3ZiSNe/t2DGFfy9+CtFs/7fIaQQCHuCXz78gu/GJ+DxCLRzJu9592uqYM28SOwFMuO+O+rbq+qwIb8iBlRqmP0t0d0bQpk/NZrc/FcZ/L8badHjKqqFxvBskwEALP9hNZuC9KhpsGxmFIPHpJOWYsTjFiycFsPsL+MQAqKL6mZmpGTx+7fLST+aQfPuVzH1qdswnUO3+o0flrFs20Hciorb6SZ8SRIzP13NPKsJXVFp27clz/3wCPf3bR9wbqPqFRnQvy2zoqzo7qIbZgwkX1XT2Zh0HF1X0HPuA8/2Iv0YE3rhZxA5AWHpdvbuCnHJJF7ocbIu8wBCCNrH1iXMEKin/k/AQwM6sTHpBC6P4lvsFQIaJMaRmWcrViCkdNicbn79czfr9x+nckwEg7s2p2alaN/+FdsP+Ugc8ImBfThrNb1bN7hSjPgKAnBZEjnAN6/JzHy/cikWeHH4Z3K6Xd6IlrRTBipWVnBpEk5NZuLpJghVZ0B48tk+3qjEnK/jilwyO9m5ai89h13D41+O8llehbn2oPVDPW5BfrYBTZN49Pp6ZKefvdXmEBMDH+rDjpV7eKH/m6iKiselsPLndUwfP5uP1r5OSHjgy2p3ulm0OcmXch6y/hjGk3kIVcdV6J0RbFy4jckv/cR9bw4NejdGXX81izYfoBBXqVWEAG/leMdccG/Dp7SIV8ZXz3uCY7kLybdr1K8Wd8l+4aWpOxm3ayay8H4MVF1jXNNBdK/U5JLa/StQo1I0P75wB69OWczGpBPoeF1Sf+4+yq2vTWHG88POqXuTW+hg6JvTyClw4PQoyJJg7ro9vH3/9XRqUhPAK9MbxE1jNMhsOZBCj5YXpmh5Bf9+XJY+8n0bDjL7owVlIHEomY4P4PEI5k+LZVtKFD+crsttu64j7ZCB0LGnSNsg4XIKDmy3MPvLOFwOydeG4lZYMWMN+zce8rXVokeToJoAlhCNNt3zkYyxhMdWxxJqJiTCijnEzKj376JBu7q8OWwCTpsLT5HMrrPQSerh08x8/7egV5Jvd52duus6lqR0hOrfudvhZv6kJUHO9iI6IoTJTw2hXYNEZEkgSQKphDvAYjJwU6eryEibBkGKZdhdHt6a+gEPfvwL3f83kbnrLl4jLd2Zx7hdM3FpCnbVhV114dI8vLTzJzJdBedv4AJxKiuPp76YR+fHPuHapycxad46PGrZtFjOIC4ylL3H0/1+do+qUehw8dXCDec899tFm8jMs/nkclXNa22//P1iX+GSUIsp4Dc5A8s/vMqQruv8unY3t776Pb2f/ZJXpiwhLaf8f8cr8MdlaZEv+X4liie41GpZoGuCHz+oyI8fgG4UYDpFuM1bReelu2pSsaobg1ELmtXpdrhZP28zDdt5raJq9avQ657uLJm8AqfNa7FaQlSatLPRqK2DL19rxi1P3EDdlrWw5dmp26oW1lALJ5JOYssLlLt1Oz2s/HEtw1+6NWBfXGQoFpMB15lrL0UrvECGD2b9QVa+jU5NatKjRV2/2PAalaL57OGbAe80/7lvFrBh33GMBhlN12nXIJEv5s6m68h9we+frmFz6tic3usdP2M5tRJiLqo6/NLTu0pNvV9+eje3Vu9wwW2WhpxCB8Pe/IF8uwtN17E5PXy3eDOHTmXyzoj+ZW7nZEaet7h1CahF2jXnwpItB4IKfDlcHo6n51CjUjQDOjZh4cb9AdrosiRo+xfIH5QnPvzlD37+Y6cvsue39XtYtfMwP48dTnREyN88un8vLksi97iV8yhjlR3Co3vrdMo6N43I4PrhWYx/IJH924KnaAtJwlJC9XDMhJtp3XEVv3+fj9sl6H5TDvFV3Dx+Y22S9xRiCf2Gq29sw7NTH/GdY7KYAkrHnd0X3OqSJYnHb+nCm9OX4XQrKPFhGNP9MwtdNaOx96zPD8u3omo6K3YcZtq31m2nAAAgAElEQVSyrXz1xK1BXSChFhMTHhhAZp6N7AI7TreHUR/O4su75mM2nCWSk0dMfP5iFbavDsNg0smpaYM2KhhlXB6FGSu28drdfYLf5HPAqXrVG0tC1TUcamBFpkvBrNU7cbg9aMU+HC6PwprdRzienkNi/LklhM+gQqgFtZRkqHNJ+x5IySAtN7h1qmoaoUV6NtXjowi1mvyIXBKCN+/tW6Zkrb8LOQV2fly5w09tUtW8H/wZK7fxwAUW4T6WlsNv6/ZQ4HBxTdPadGhY/YqccCm4LIm8661Xs3LGnzhtxavxnHk5/X9oSZaIrRpNZkp2sXqdgXhu4jHadMvHEqIz7Ik0XrmvRoBYFoCmaXQb4v9AatmjqFjpIHc/6yGxrgshvBEqBoN3TE6biz9nb+TIrmPUvMobmlexehxV6yVwZNdx9GKEbg4x03/U2VqdDpuTkwdSiU6IJLpSFP3bNyKuQihfL9zAyetBmbEJd7UoFIsBU66Twq51QRLeUvd4Lb1DJzN57usFbD98itxCBzUrRfPkrV39wgRjK4QSWyGUd35aQVx4NjXjcnzRNvnZMo/0q0thvoyuCTxuMO9NR8pyUNC/CbrORaeqd4prwHeHV6Jq/j5hWch0imtwUW2Whp3JqQEV3gEMssyhU1llJvKo8BDaNUhk/f5jeIrNiiwmA8OvbVXqeR/PWVPqukTDxHjfQul7M1eRb/OPghIC5q7dQ4dGNco0xr8DB05mYjLIAbLBbkVl04GUC2pr/vp9vPbDWQG0eRv20bpeVd4fdQNykALP/3VclnekZc+mdL65PZbQMynsOrLhzKKm/5tiNEu8NX8g3W/vWGpoWLU6Ttp295I4QJvuBYwadxKzVQ1ozxpqoVKNeN/fu1evZFgzF4/2r8HDfetyZ/sGHN5twWTWuXlkhu84HZ1dq/f7tfXSzCeJSYjCGm7FEmrGbDXRcUAb+tzXA4Af357DoIr38US3lxhW80FeHPAWjkIH7RtW58vHb+Wz1+7EPaITjq51sLerTkHvBkjmwG+zS1FZuTPZqyAIJJ/O5sGPf2HivHUBbg2HSyHE5EItFqe/cFo0LofktyYhVB1jeiFylg2z0UDnq2oGvbfBoOs6u4+eZuJv61i/4SQ9KjTDIhs5oxJvkY3clNiW2uHnFu26UNSsFEUwg07VNKrGVrigtl67pw8t61TFbJSLZG8N3N+33TlL6+0+ejrodgE8M6S77+8lWwPdL6qms2z7oQuSKb4QHE/P5f1Zq3jqy3m+mcuFolJUeFC3kSQE1S7g/tqcbl7/YalfZJDD5WHzgRRWbD90nrP/m7gsLXIhBP/79kH63teDiU9O5tDWQ6jKGeI586bqCAGa4mbbgld59A0ju/+I5vSxwDe5blMHqur/Eeh3RzbXDc5h1qQYvn3zrJZH+/5nQzjzswp4rt8XOArPukKcdomnBtVm2pZ9VKx2dsYgGwxEVfJPXa9cuxJTj3zGliU7yTqVTaOr61O9oTc9ftXP65jyyky/0nKbF+3g3Xs+Y+xPTwDwzFfzKXC6vKMWAhUozeQrSQC6Dl8t2EBmno0Xhvb0be/Zqi7Ltu5FK8qO1XSYuygRtytwTUIXAkuek6j6lbmpU9Og/QYbxytTl7BocxIuj4JRlr3ysTf3JDMmEwnoVbk5LaJqlKm9C0F6biHBvFlVYitQr2pc4I5zINxq5vNHbuZ0dgGZ+TZqVYoOKvVbHPGRYeTZAkXYjAaZGsXCD9VSXG5/FYmv3XuUJyf95lPA/HP3EaYs3cKUZ24n3GoOek6+zUmh002lqHCfu6N6xSgaJsaz5+hpP0I3GWWG9Sx9plISmw+cCFrtyeHysHBTEj1bXnypxH8rLksiBy+ZN+nUEEehC1UJZmkLdN0bBvj52HhiKh7lndkKD/epS06af6z46WwzWALb0DVQPP6TliHPDPD9f/n0NQQGPAgURbBqbgWyTp8leKPZQLt+gQUKZINM2z6BSR4z3prtR+Lg1Spf99tmbHk27LrO0bScc4YQng+arjN/w16GX9vK51ZoWacKcZGR9Hn/TsLMLqpF53LK6MEopwZEyEjADf3bMureXj7/bnHsO57GT6t2kJ1v55qmtejXrhHbDp1k8eYDxYo7e2/g5FnbWfL2yKDtBENxXZuyoMDhYsX2w0H3RYVd/CJcpejwMldlur9vO16cvMgvxd9sNHDj1Y391i86N6nJqp2H/QhdkgRXN6pR7mqOqqbx4nf+Y3K4FU5nFzBt6RZGlZBbKLA7GfvdItbtO4YsBCEWE2OH9qRLM6/m+4ejb2Ts5N9Zv+84khCEW828MKznBX0oTYbSaclyRQIhKC77uxIs3rokPC7BayNqANDtFoWed7/IiulryM0qYEXdE6zrGkqacpqqUiFG6ezLoyjeJJ4zMJoNVKtf2fd3VmoObkfgFNTjFqSfNLPkp8pYQg1EV4pi3JynzpnoUxK5aXlBt0uyTH52IXJU6YtqkhBYzQbvh0xR0XWCRll4j5XYeugkifFR6LrOmE9mczIrH5fHgNNjILMwBFHfQ+S2NFDVs/MdSdC4TW3+N+aGoO3OXbeH8TOW4/aoaLrOpgMn+HHVDupUjg06bZdlifX7jp3TNVHocPHezFX8vikJj6rSrkEizwzpTrW484t0ZeQWYpCloGXfUrOC3+vyRs+W9cjMs/Hp3LWomoam6fRr15AnBvkXsX5qcDd2HUml0OnG4fJgNRsJMRt55rbupbR88TiWlhP093ArKou3HAgg8scn/sbO5FN4VA0PXtniZ79ewNdP3krDxIpEhFqY8MCAoBZ7WdG6XtWg51hMBgZ0/OflFvwTcNkSuaZpbF60g5BwK7JBoCrnMk0FnqJQwqUzbKz57W1qNKlO1+GdWLniMObJLh64oQMvt95BizCvXzvVGcL7QyqRmeq1EE0WI91v74yxmFRp02saMefjhTgL/afLRqNMmwFv02lYJQwmA4kNqlywJdW0a2NWTl8TENlithqJrxaLbJCpGluB5NP+ld9NBpnh17aiWe0q5BY6aFGnCnPX7uHr3zcEnbJLkiA63GuR7kg+xb5j6WfDG4vunW41kT/gKkJXJ2M4nQ+SwF03nhd++V/QsTvcHt6ascLPynO6FVLSczEZ5CArGUVjOcc90nWd0RNmcfBkpo+MN+w7zvC3pvPruLuJCD13JmhCTIRftErxPs9XQKM8MaRbC27u3JSMvEIiQ61B3THxkWHMeeVulmw5wMGUTGpXiaFXq/pY/4IYcovJWGr0VMmxHU/PZXcJtwl4SX/q0q28fs/ZqKWIUMt5f5PSYDTITHjgRh76ZA7oOqquo2k6Q7u3/EuqT/0bcFkSuaqojL1hPLvW7MdZ6EQUfb0NRg3Fc7awcjBoqsCe72Tv2iT2rk3CTFGhiJ/g6e51kJ9qj1XSiTgaTcHe3YRWMOJxeWjdqzljPr7Hr61W1zalbstaHNh8CJfdGypnDjHTvMdVNLy63UVPg3Xdw+jXChjx1G7MFo0tf4Tz5bjKZGeE8MCEe5CLQtDeuLcv97//M4qq4nArhJiNVK8Yxd292/ppY4+8vj2qrvH1wo1+/Qi8U/sOjbzRK3uOpqGUonWgRoWQf0MTnw8+sWIUcaXI1e49mhbUonJ6FPYfTwtK4oqqUTEqrFSXyc4jqSSnZvtZ1Jqu43IrzF2/h2E9zu2DtZqMDO/Ziu9/34hT1Xw67CajzIh+gXIGfyWMBpnKMede/LOajNzQobHfNo+i4vIohJXit74YVI6JoFZCNEkpGX6EbjEZAuSC03MLMBokSiadarpOSqZ/EZRLRfPaVVj81ghW70rG5nDTrmHiee/ZfxmXJZGv+nkdu1bv84UfngnfU1WJOk2NHNrp5lxkXhJnjjQtL0SNNMGDNfh42IPkt8nmzzkbSWxQhc63tEcuoSciSRLjF73A/EmLWTx5FZIs0fvubrgcbu5t/Chup4drbunA7c/dRFhk2UuH6bmPY5WWYSyqanR1rzyadihkdM8mxFaJRtU0Nu4/QVa+jUmP3sze4+ls3pDE/lmbSNu4ijs+XM7tz93EwIf7IoRACMGDN3SkWa3KvPDtwqJpvTfL88WhPUk+lUVUeAiVYyIwyrJfSJ3vWoVA03UkWcJkkHnuth6ljj/Magpq/QIBi41n2tV1jfve/xmBN9s0xGxkYKeruKdXG0xGA0dOZ6MH+QQ4PQoHTmQEbC8OVVX5/uWfWPDRAsJsLsLCLTg716Jh9yY8elNn6lSJPef5fzccLg9vzljO4s1JqJpO1bgKvDC0Z1Dd+D92JfPJr39yMjOPGhWjeGhAp/OqUb4zoj8jP/iZnEJvFq+iavRt25B+7Rr6HVencqxPg704jAaJ1vXK31K2moxc16pshbP/67gs1Q9f6P8mG+ZvPccR/voqF4pvTnzM3HcWMH/SEgwmAyAIqxDCO8tfokqds8p/Oel5fPLQ16z9dRO6rtO+Xys8Lg87Vu3xWehGs0R8FY3XF9uIiOpMWIWRCCm6lJ69Wuta5vUI/Bc6XQ7B9AnxbN1/LYdbJlBgd6PjnXK2tYRy+NNluBxnE2gsIWZuf+FmbntmoF87iqqx60gqU5Zu5o8dyWhFd0qWJZrWTOB4ei7ZBXY/Ig41m+jVph5JJzKoWSma4de2Pif56brOgJe+JSUz75IWY81GA63qVeWTMQPZmZzK6AmzAvy5FpOBUf3asz8lgxXbD6FqOs1rVeaNe/v6JH8/e+xbFny51PebgFfv5o0Fz9P0mkYXP8D/J4z5+Bc2H0jxm41YTAamPTvUT2xryZYDvDR5kV8ikdlo4N0R19OxybnDQzVNZ9uhk2Tm2WhSsxJVSgkXnDB7NT+u3O5zm8mSd0Hz5xeHnzMZ6grKB6WpH16WRP7qre/xx8z15Tgif4RGhmDL9U+fF0JQtX5lvt7zAQUeO6tS9/Fdl0nYThX4RLMkWXinpyVvqUXgfjAWpWc4V0fkMLblq0SYK6K7t6AXfg7qUTA2R4SNBuUQas4zSMIWMK4NS8N5fMEteCKtfkQbOWcXclpgxmBIuJVZmd9gKLHS//SX81i543CAr1OWBPWqxGIokrwFQY2KUbxxb1/qliBuVdMosLsIs5p9crpnniUhBMfTcxk9YRZ5NgdCCF86/4XCYjLw3f+GULdKLHe+PYOklAxfeTtJCMJDzJiNhoCEJJNBZtk7I5FUnVvi78XtCOy/ebcmvLPspYsa1/8XUjJyGfTqlBLrFkVSw1c3YWyx0NF+z38dVEe+VkIMM18cXi7j0XWd+Rv2MXXZFnILnXRoVJ2R/TqUOXLnCi4N/yoZ29739mDjgm04S4TnlRdKkjh4H+CqNQ6Rf+IawoxpmJdGY8+shlrs/dLUUj6KTh12uvD0iGRtfhRPbJnIpBZXQ94TQNFCqZqC7loKEeMRIjBm2+2CI8mheMLNAW4LEWS8AB6PQkGOjaj4s9ZVVr6NVTuTvSReomanqukcSMnEaJR94XAnM/M4fCrTR+R/7ErmjR+WkZ5biMDrY771mmacyspn1a5kdF2nU5OaPHtbD3579R52JJ8iz+ZkzppdrNlztFSXy7mw/0Q69arG8fkjN/P+zFUs3LQfj6LRvmEiXZvV5vUflgWc41ZUPvl1LXe0blhq1ETKgcCyeBcLTdM5np6DxWQsV1I7mZkX1C+tajrJqVnF/tZKLQZyPD2n3MYjhOD69o24vv0/fybzX8JlR+TH9qUw7bWZJUj80lwpZUFohMKocUcJN3ktu8xkA5qrbP3qRoFWyXurPbrM/kIHRzPepYapeLSL5tX8LngbgTugLrLikZg/JxFTRwPOEiF0agUrUnpgirzRZCAi2l8fOy2n0JtG7fZAkFRnVdNQ3f5kO27KEprWSmD3kdOM/e53nyWvAy6PypRlWxHibC7Smt1HvNEkr9xNizreZKrE+Eg2H0zB4fb4jjMZZHTwWdjBoKgaVYoWuUItJsYOu5axw6717X/xu99LPXf9vqM8dmNwfQ8hoHbzGqWeeyHYsP84L3y7ELvTjarpRIZZaVG7Mh0a1+C6VvWxmC7+NatVOSa4X1qWaVrzrJtPliQiw6zkFgaqVcZVOL9G+hVc3risUvTzMvN5tOML7F2bRES0wqPvHGfMmyk8/clxPlmURIOWXneEZDjfZZXBKhT+x9jyZUZ2q8fhPd6QqsS6TsyWILHZAl8UjQ8yuHudtYoNQnDaWcpsQkvhTFYqeMmxIE/mi9e789xnLxIaEhix4OlQE7lEar45xMztz9/si3A5g+oVo/CoGlK2vVT1xIAhaRoLNuzng1/+CJqCfWacZ6BqOoUOF8u2HfRti6sQytAeLakeH0VEiJmGifG8eW9fWtapglEu/fcyGw20rFul1P2l+XK9fYZhspgY8vSAYnIOXpisJu4cN7jUc8uKU1l5PPb5r2Tl23G4FdyKSnpuIYu2HGD8jOUMemVyUHItK+IqhNGvXUO/RBhJCCwmA0N7+CeY3denbcBHw2IyMPL6vy4qR9d1thxIYd6GvX4zhCv4/8VlReSLvl2B2+VB13XG/3iYnoNy6H9nFt1vyqXuVU7G/5hMldo69VvXpvTIPx2D6dxWtJC0IJocAqdd4tHr63D8oJl2PfOJileQDWeJTTbIxFSOon7r2hjNMpJZR6tkwPZ6FfTosy+YRxPUsZZtuisEWMIg7vbbqN6sOq/d1RuLyeCryGM1GUloUZ3nf3ycxEZVkWSJmMpRjHjnDm59MjBZJ9RiYliPlliz7Qi3AsWJWdUCw0rwam3vOHzqgoSx7C4PR1K9Me57j6XR9/mvmbJ0C0fTclBUDaNB5urGNfhozACG9WwVdF4jCcGwHi3PGcZ553Wtg+qnADw8sDMAnUf0oOcT/YitFoPZaqLx1fV5e8mL1G1Zq8zXUxpmrd5VqhKi062QllvIxHnrLqmP527vwaj+HagYFU6oxcQ1TWsx5ZnbiC9Rjei2bi0YfX0HwovWLSqEWnjkps4BYYzlhYy8Qm4aN5lHPpvD+OnLGfrmD75U//KCw+1hZ3IqJzLKN7zx34bLarHzreEfs3TqH9RvYeOtn5Kxhvo/MJpmoMB5K0eP3szY/q/gCmII1Wrs4PZH0nhtRHWCu0V0LCEaTntwuVAhNK65IY/nPj9ObpbMxy9UZfWCKAxCouONbXlwwt1EV4oi6+D/yMhaykP53SjUTKhF30yLUOgbfYKnqm0p83W7PDKDPrsTyRjP9OeGkWdzMnvNLk5n59O2QSLXta6P2WjAlm9n44JtKB6FNr2bExkX3FrVdZ0pM9cw+d5JOJpUwp0YheTwYD6Yia1jTQgyozEZJNxltODBe2efva07N3duyo0veiNYisNsNDCyX3vu6tUGgNETZrH98EmfOqEkoEKoldkv33XexJJ1e4/x6Oe/+lw0QggeGdiJQV2a8dQX89h8IAWjwZvV2a1ZHV65q1e51Rd97usF/L456ZzHRIdbWfr2qHLpD7yiUit2HKLQ7qJtg0RqJcT47dc0HZvLTajZ5Fsf8KgqBkkq1xT/kR/OZOvBFL9EM4vRwMjrO3DndQHrcReMH1duZ8Ls1ciShKJq1KsaywejbvxP65r/KxY767WuxepfNlCpWg7BMs4lSaFCVCZyiowkS0DgQRWiPbTpkU+95nYObA8haAUh15ncwyD6K7pE0jbvg2QO06n8UgTdX72NZxsP8HtJouIgKtzGZPcyvkhtzLqCSoTLHgbHHmRgbHJAuwA6JtDdAbOJPIeZ1FwTJqONWat3Mvza1jxYwve7Yf4WXh38AZIsQPcmTY3+8G6uH3EtJSGEYPigzrA3lZ/e+RX3xuOg65hDzFSXjSSbhF9WJnBBJO69Fpi7bi8t61QlMy8wAsflUfht/V7u6tUGh9vD8GtbE1shlNW7knErKlc3qsHjt3Q5L4nrus7p7HwSosLJKrBROyGWscN6UrtyLK9NW8qmAydwe1TfYuHKHYf5euFGRl1fPgUr2jZMZNXO5HOqBRrPoR1yodh6MIWHP50DeNcPhBDceHVjnh7czff8SUUhgQCLtyTx4azVpOUUEBFq4Z7ebc87yykL8m1Oth86GZAt7PQozFqz85KJfMP+40yYvdrvOdx3PJ3HJ87lu6eGXFLb/0Zc0hMmhBgEvAw0BNrqun7xMYVlwHV3dmXqazPZszmUnWtDadHZhiWkOMFYwNiSxlfXx2i24ij0JxDdANkuMx8/U4WCHBlJPhNpUvyhFkVKiFAamSdUd5F12sDCFY1oe+e7NI2qHvBiCOv16K4lVDLZebF62W6L6imqiamD0QSaCi7VwBvzuqAjcHkU/tiVzPBr/V+SgpxCXh38QYDI1uePfkezLo2oVj+4j3n4S7fStk8Llk79A9Wj0nVwR5p2acTmAym88O1CMoIQsCx5E4zKMn3effQ0T389v9QVCUkIflu3l/EzliNJ3sSgmPAQPh4zkOoVy6YN/vGcNcwoFte8++hp7n73R6Y/O4x5G/YGLBS6PAo/r9pxSUSu6zqHTmWhqCrXtqzH5EWbSc3OD6rjYjYaGFhO+iAeVeXxiXOxlwhh+W3dXjo1qemr+XkGf+xK5uXJi31x5Xk2J5//thab083grs2JuoQizm5FLfVjUNIIuBhMXbYloB1F1UhKyeBERm6Z9HX+S7hUH/lu4Cbgj3IYyzmheBQmPPAl+ZmFZJ4y8cboGtx6VWNWzPH+oKoqsBUYOJzUGtkg8+rcZzFZDegWgW4U6CaB0iGUozvNLPslmtRjFjQVhAQmq4qQSqObktt1tq2O4J7OLYmPfJBm0aUo0pmuAfN1gBXvx8BY9K90dT+DEXRdsHBaNMeSTJw8ZmLXvigqhDgxyl7BqmBJF+vmbg5cYMVrlS//YXWp/em6TlyDytz77nAe+XwEzbo2RghvVmV2QfAFOlXTL+ihScnIJcwaeM0Wo4EOjavz5vRlONwebEUCUSez8hg1YWap+h/FUWB3Mn3FNr8X/kzF+e+WbAqaoQpgd1185aEDKRn0H/sNd709g/vf/5kbxn7Dozd35o6eragaWwFjUear2SBjNsrEhIew/0Q6U5ZuocAeKGF7Idh28GRQknS4Pcz5c3fA9s/mrg0oF+d0K3wxfz29nvmCQa98z77jaRc1lpiIECoGCbM0yhLdm9e5qDaLIzM30IgAMMgSOaU8m/9lXJJFruv6PqDcpTWD4aMHvmTF9D99f5+p3vP+Y9WoVM3FsQMWJr+dgK3gLW57ZiA1miRiGxyJJ0pCOHWU5iFYvskEl5csvRDoGlisGmgiSI1OQaXqTk4fM/v+PhNmFxoZQrch/spwq35ex7TXZ5F9KpsG7epy16ujyD3ZgLxTv+F2GqlQdQjtO32NriSze4OFVXMjkWSd7jfl0KCF9+HUNDiaZOG6ITkYDDrVjBk0abia29rt4oGpg7itW3NKwu30oAexkDVVY//h07z38yqqV4ykd5sGPp2ONbuP8Pq0pb5iEz1b1OWFoT0xGCTGfDIbtRS1RAD3BSxmuTwqDapVwKOoKKqGW1G9oXO1EsgtcOJS/IlG16HA7mLb4ZO0qluVAruT5dsPsyv5FOv3Hyc1K5/oiBDu7dOORonxGA1yQNWfM9mr9arEkpTin74vIGhqe9muRWHEBzPJL0bIdpeHZ79ewK+v3M2DN3b0ySdsPnCC6cu3kZ5XyKnsfNbuOcr3izfz6cM3kZFnIz4yLCDJqng/JoMc8F79sGxbUKv/zDWXxMnM0lUdFVXjcGoWIz6Yya/j7iY6IgRF1Th0KhOL0UD1ilHnfK+FELx6Z28e+GiW73e1mAxEhVkZWQ7aNZ2a1OTI6eyA69U0jbpV/9mSCn8H/t985EKIEcAIgMTExAs6117gYMn3q4Luc7skHu1fXGjezQ9v/EJs1Rgcz4aiJ5y1BuU9jpJRhQDYCuTgspkhKol1XGScMqF6zmQveo/LOpnDF09N4YEP7kY2yPzy0Xy+fW66L75944KtbPp9OwaTjNthAHQsob/QY0g7hGphyY/gdgoQ8PsP0dwyOoPhT6aRm2HgvhdSsVh1nJrMgqxq7LVFU8VYyFP9Mlj94UJWKZrPDSKEIKJJ5aAvuG6Q+NNto3D5VqwmA5/8upZv/zcYp9vDU1/O87Pulm0/SKHDxW3dW5RL1IHhVB4h645iyLaTHhnCw+OGYGqVSGa+jaY1E6hZKZq+z38dNIVfCEGezcn6fcd4fOJcNE33u76sfDsfzV7Nda3rYXcG+qaFgMS4KIZf15qRH870fUSMsozJKPPEoK4XdU1/7ExGCRSgR9N05q/fx1292iBLEh0aVee9mSv9rGG3opJVYOf2N6YRYjaiaBo1K0Xz8YMDfYt3q3Ye5t2fVpKaXYDVbGRoj5bc37cdsiSRmWdj3b6jQcclS4K+7QLL4tWoGMWeY+e2uD2qyq/r9lCncgwvTl6ER1HRNJ2EmAg+GH3DOcvfNa2VwC8v38Uvq3dyLD2XVnWr0Ldtw/MW2CgLhvZoydx1e8izOX2/vcVk4OGBnf0E4a7Ai/MSuRBiKRCsPPrzuq7/WtaOdF3/AvgCvFErZR4hkH06N6jroFQIQfqxDISzip9jRI+QoTCIIJQED7x2gs9frIPqUdFUFbNVo13PfHZvDPWReEn8/vVyjGYj975xO5PH/uiXpKTroKsabsfZ/pw2F0um7QfMuM8QkA4uh8zPn8bTuV8uC6bFcNdTp8nymLj7QA8KVCMOzYhZKMiaB3neCuTjbpZO/YOed3Qh7pZWfPLrn4gWlbFuOQmqhgAkswFnzWgKo71+UIdbwelWeGnyIirHRASkfLs9KhuSjtO1HKbFhrQCIhbuQxS5NtzZNr59eipDx97MXU97tV/e/WklSinWpUdRaVAtnltf/b5Uf6vTrTB37d6g+8xGA3f1ak2j6pX48flhTFu+lYMnM7mqZgK3dfudGCcAAAu5SURBVGsRELZXVmQX2IN+5NyKSkbe2dDMAruTIyXkhc9A03UKi+QKDp7M5Jmv5/PFY4PYciCFZ79a4CN/m9PN90s243C5eezmLhw4mYHJKAeN4xdCBHVnjBnQiUc/+zXgt/Ybu0dl77HTfLlgvd+9PpqWzYgPZjL/9XvPWSMzPjIsQLO8PBAZZuXHF+5g2rKtrNlzhLgKoQzr0Yq2DS7MCPyv4LxErut6z/Md81cjvloM4hxJIyUhSYKIihWw/ZaLc0QcWLznum6KxPplJsLlR++07ZFP32E6zW94l2VTV2EvcNK+l0rTph9yf5ealJbm4HZ6mDdxMX3v64l2DlfE/7V358FRl2cAx7/P/nY3uyEnGIUk1ECIyJmgHGIIYLQSFINccohKwWqUCgh4YLX1KNaZdtBWrY6CpfXCixkcqKBUKThaDEfUWIickhggEAwxB8lm9+0fGzM5diHgJr/s8n5mdiaZDL88b8I+vzfv73net/m/8cXthvsn9yIuoRaLBZ4vHkCpy9FQtlijvLN6Y96FRCwq4lRlDRtWbaHUUuV9cw/qTm1iLGHfHsMKeFLiqIjr1KQ9VAG7D3n3G/c1E7YbBhfFRPicdbaW024lbHtRQxL/yamqGt5YuppJ947DZrfx77w9uP2Uvk4Zmcq+4uPntGQXFe7giVlj6Huxd+6RGBfDA1MDcyDDoF4JPvdMd4bZmiQYq9Vo1WZhdW4PX+0/zPGTlby49nOf69lv/+crcm640nsepstfM5Zi16ESBjTq9AQYdukvWJaTzTOrN3PgyAmfNyGn3UZ1ravF15Ty3kxyCwrPuHtiW4mJcDJ3fHqLCi2tpaBoCLI77Mx8eDLGGTs2vZRHccefbiVycxW2TyugxgNVblyjIqjNjGwyS7cYivGzyyAih8SUbtz22DTuWjaLQWPmYLlwPdk5AwkL9/993XUewpw2v00hzRnWn0ojm1/HQvkPVvblO/mh1Mrmk/ENSbyBCO4UByrMm0wqY51Io4eC7rgIqtJ7UJ7eg5r4aFrUMQIIpPaMb9joqrFat5v+SV1ZNHk0Dpu1IWk56/c5D7Mapz38wW41eH3JzURX+Z4Bejwefqg/+SjMz5FdhkWYPXao33Mrz2RQcjwZA35+o48vlyTGMTotGWej7kmH3UrvxLgmFSNOu63VG0YYFgsV1TV+90OxiHCivIqe3brQOdp3/bRS8MXuQp9fG973Yt56+Ba+eG4+V/ZLavJztxoWYiOddHKE+UzySilKy33v46N1LD8rkYvIBBEpAoYD60RkQ2DCamnaAzdy70s5dInvjMVqITzKiWFrGb4tzMZDby7gqqnpPLJqMb3XVhA97ztiVxwlamkx9vXlTd5kjnBFn5GzkPBftRyfkUD2gscZOSXD79JOZGwEcd0v4JqZIwnzUZ3RnGE3sNpO14wiPHZnCsbpMkH9hNnqJ9mJePc2sTdrz7eIcFmvBGZneVu5Gyflnw4SiOrkYPLIgfz9vqlMHjmQrCG9efzWMbzzyK2sWHwT46/sx1VpvZicMdBbnWHzVmjYrQbzJ2aQ1LUzSX38tdQLMXFRAEweObBFO7lhEVJ7xhMb4WRI7+6tvjk2Hnekjy0MAukPs8ayZMbVpCbH0/cXF3HP+BG8OH9Si+WHwZe07oFqmN1K9wtjSPF3pqV4tzcAmDY6zeeN1G4ziI4482k8T+dkMydrKN06R9I5MpyJIwbw6oMzyOjfw+fpQ3VuD2nJ8T6upHU0QdXZ2dyeHft5fel77Ms7SExcFCMmDmNczrV0atb5pTwVVJflMy/jNY58d4KaKhcWA2x2g4XLc8icPvqM3+uz93N54qZl1DU+ODfczsKXc8icnoGr1sXfFqzkw39sAqVwRjgZOyeTdS9vxO1yo/BuYvW7dxdxeP9Rnp27HER8bq8aEdOJUVsm8W7RVmpVo2TmUli3V9Lp8cMA2MLtnLpzBGXNytocdit/uftGnlvzKXuLS3G7PQ0t268snspFsZEcKinj+TWfkltQSHQnB7f8cjAT0vuf1XJGaXklm77ch8ejGJWa3LD2vPPjr3kk+6lm+3+HMWHeWOY8eTPgTRIPrfgXW/IPYLFIQ2nl8oVTiKu/zoZtBTz6zw/xeDy46tf+FdAl0kl1bV2LemqH3coL8yaR2gGST+GxMmb+8Q1O1dZ5uyoNC26P94FrbZ0bi0WwWw2enH0do1OT+ebgEX799DtN1qkddiuzs4Zy+9hhAJRVVHP9b5dT3ey5gTPMxgdLbz/no9VqXXXMfOoNCo+VNVQAOe1Wrh/Wl4dm+D9ARGt/IbUf+bmqqa5h46ub2bpuB13iY8m+eww9BrR+/W/vzgOs/P1b7Nm+n6494pj5yBSGjGlaDlhTXUPlySqi46IwDAN3nZtdW/cgIlw6tFfDJlYnj5eTuz6PLav/S+4HO7EYhrcrE+HJdUvoNTyZedtWUlBejFIK5VbUFVfT+dESjHIPbpeb+S/eQVJmP+Y+u7ohAdS53dxz4whmZF6GUoode7+noLCEhAuiSe/Xw+eSSlv4bE0uLyxcydGDxwiPcjJlcTbTl0zA0mzmuv9wKf87dJSusZFc1qvlobvFpeWsz91NRXUNGQN6kpYcj4iwu7CEu//6XkOtuKvOzV03DOe2a4e0y/ha42TlKdZ8ls/uQ95teK8elMKHOwrYuusQCV2imZ45qMnp8nn7vmfZu5v5tuiYt8QyaygTRwxocnPNLSjkvpfWNpSHWg0Lf77jBi5v5V8A/lTXuFi1KY8N2woID7Nx06hUxgzu3S6lxVrr6UTegR05WMKOjV8THulg2LjLcdbPrJRS5J8sZO+PR0hwdqaPrRvb1+fhcXsYnJVGVH1DhtvjYfu3RVSequXylMRznpm1BVetC6vN2iYJweV2k1tQSGV1LYMvSSQ28vzYg8PldpN/4Agi0D+pW7vdnDXz6USuaZoW5Pwlcn0r1zRNC3I6kWuapgU5ncg1TdOCnE7kmqZpQU4nck3TtCBnStWKiBwDvgvApS4AjgfgOh1ZqI8x1McHoT9GPb72c7FSqkUbsCmJPFBEZJuvUpxQEupjDPXxQeiPUY/PfHppRdM0LcjpRK5pmhbkgj2Rv2R2AO0g1McY6uOD0B+jHp/JgnqNXNM0TQv+Gbmmadp5TydyTdO0IBf0iVxEpojINyLiEZEOXSJ0NkQkS0QKRGSviDxodjyBJiKviEiJiOSbHUtbEJHuIvKJiOyq//853+yYAk1EHCLyhYh8WT/Gx8yOqS2IiCEiO0Vkrdmx+BP0iRzIByYCm80OJFBExACeB8YCfYHpItLX3KgCbiWQZXYQbagOWKSU6gNcAcwNwd9hDZCplEoF0oAsEbnC5Jjawnxgl9lBnE7QJ3Kl1C6lVIHZcQTYUGCvUmq/UqoWWAWMNzmmgFJKbQZOmB1HW1FKHVZK7aj/+Ee8icDfYaZBSXlV1H9qq3+FVPWEiCQC1wPLzY7ldII+kYeoBKDxsehFhFgSOJ+ISBIwCNhqbiSBV7/skAeUAB8ppUJtjM8A9wNndxJ4OwuKRC4iG0Uk38crpGapjfg6Fy2kZjrnCxGJAN4DFiilys2OJ9CUUm6lVBqQCAwVkf5mxxQoIjIOKFFKbTc7ljOxmh1AayilrjE7hnZWBHRv9HkiUGxSLNo5EhEb3iT+ulJqtdnxtCWlVJmIbML73CNUHmCnA9kich3gAKJE5DWl1EyT42ohKGbk56FcIEVEeoiIHZgGvG9yTNpZEO9p0yuAXUqpZWbH0xZEJE5EYuo/dgLXALvNjSpwlFJLlFKJSqkkvO/BjztiEocQSOQiMkFEioDhwDoR2WB2TD+XUqoO+A2wAe9DsreVUt+YG1VgicibwOdAbxEpEpE5ZscUYOnALUCmiOTVv64zO6gA6wZ8IiJf4Z18fKSU6rAleqFMt+hrmqYFuaCfkWuapp3vdCLXNE0LcjqRa5qmBTmdyDVN04KcTuSapmlBTidyTdO0IKcTuaZpWpD7P98/QigPU/FUAAAAAElFTkSuQmCC\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "plt.scatter(customers_scale['Grocery'],customers_scale['Fresh'],c=customers_scale['kmeans_labels'])\n",
+    "plt.show()\n",
+    "plt.scatter(customers_scale['Grocery'],customers_scale['Fresh'],c=customers_scale['dbscan_labels'])\n",
+    "plt.show()"
    ]
   },
   {
@@ -266,11 +1833,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 46,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:"
+    "# Your code here:\n",
+    "\n",
+    "plt.scatter(customers_scale['Frozen'],customers_scale['Delicassen'],c=customers_scale['kmeans_labels'])\n",
+    "plt.show()\n",
+    "plt.scatter(customers_scale['Frozen'],customers_scale['Delicassen'],c=customers_scale['dbscan_labels'])\n",
+    "plt.show()"
    ]
   },
   {
@@ -282,11 +1879,232 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 47,
    "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>dbscan_labels</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>kmeans_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>-0.582891</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.076012</td>\n",
+       "      <td>-0.493518</td>\n",
+       "      <td>-0.545385</td>\n",
+       "      <td>-0.321147</td>\n",
+       "      <td>-0.502117</td>\n",
+       "      <td>-0.268160</td>\n",
+       "      <td>-0.559006</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.387514</td>\n",
+       "      <td>0.150357</td>\n",
+       "      <td>-0.370228</td>\n",
+       "      <td>0.992320</td>\n",
+       "      <td>1.223972</td>\n",
+       "      <td>-0.425291</td>\n",
+       "      <td>1.248685</td>\n",
+       "      <td>0.300253</td>\n",
+       "      <td>-1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>-0.487568</td>\n",
+       "      <td>0.222484</td>\n",
+       "      <td>1.015770</td>\n",
+       "      <td>-0.063894</td>\n",
+       "      <td>-0.371253</td>\n",
+       "      <td>1.893036</td>\n",
+       "      <td>-0.555507</td>\n",
+       "      <td>0.516802</td>\n",
+       "      <td>-1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>-0.564642</td>\n",
+       "      <td>-1.625940</td>\n",
+       "      <td>-0.020830</td>\n",
+       "      <td>-0.454386</td>\n",
+       "      <td>-0.476419</td>\n",
+       "      <td>-0.072582</td>\n",
+       "      <td>-0.468685</td>\n",
+       "      <td>-0.285895</td>\n",
+       "      <td>-1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Channel    Region     Fresh      Milk   Grocery    Frozen  \\\n",
+       "kmeans_labels                                                               \n",
+       "0             -0.582891  0.587722 -0.076012 -0.493518 -0.545385 -0.321147   \n",
+       "1              1.387514  0.150357 -0.370228  0.992320  1.223972 -0.425291   \n",
+       "2             -0.487568  0.222484  1.015770 -0.063894 -0.371253  1.893036   \n",
+       "3             -0.564642 -1.625940 -0.020830 -0.454386 -0.476419 -0.072582   \n",
+       "\n",
+       "               Detergents_Paper  Delicassen  dbscan_labels  \n",
+       "kmeans_labels                                               \n",
+       "0                     -0.502117   -0.268160      -0.559006  \n",
+       "1                      1.248685    0.300253      -1.000000  \n",
+       "2                     -0.555507    0.516802      -1.000000  \n",
+       "3                     -0.468685   -0.285895      -1.000000  "
+      ]
+     },
+     "execution_count": 47,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here:\n",
+    "\n",
+    "pd.DataFrame(customers_scale.groupby('kmeans_labels').mean())        \n",
+    "\n",
+    "\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 48,
+   "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>kmeans_labels</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>dbscan_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>-1</th>\n",
+       "      <td>0.140048</td>\n",
+       "      <td>-0.121657</td>\n",
+       "      <td>0.094833</td>\n",
+       "      <td>0.152425</td>\n",
+       "      <td>0.156445</td>\n",
+       "      <td>0.079652</td>\n",
+       "      <td>0.126763</td>\n",
+       "      <td>0.114464</td>\n",
+       "      <td>1.35277</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>-0.676570</td>\n",
+       "      <td>0.587722</td>\n",
+       "      <td>-0.458137</td>\n",
+       "      <td>-0.736363</td>\n",
+       "      <td>-0.755784</td>\n",
+       "      <td>-0.384800</td>\n",
+       "      <td>-0.612390</td>\n",
+       "      <td>-0.552974</td>\n",
+       "      <td>0.00000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Channel    Region     Fresh      Milk   Grocery    Frozen  \\\n",
+       "dbscan_labels                                                               \n",
+       "-1             0.140048 -0.121657  0.094833  0.152425  0.156445  0.079652   \n",
+       " 0            -0.676570  0.587722 -0.458137 -0.736363 -0.755784 -0.384800   \n",
+       "\n",
+       "               Detergents_Paper  Delicassen  kmeans_labels  \n",
+       "dbscan_labels                                               \n",
+       "-1                     0.126763    0.114464        1.35277  \n",
+       " 0                    -0.612390   -0.552974        0.00000  "
+      ]
+     },
+     "execution_count": 48,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "pd.DataFrame(customers_scale.groupby('dbscan_labels').mean())        "
    ]
   },
   {
@@ -298,11 +2116,15 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your observations here"
+    "# Your observations here\n",
+    "\n",
+    "# I Would say Dbscan because on kmean we can see an extremelly similar mean between certain clusters, where\n",
+    "# on dbscan theres a significant difference between means on each cluster, which tells me that they it makes sense \n",
+    "# splitting into diffent clusters"
    ]
   },
   {
@@ -318,7 +2140,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -327,7 +2149,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -345,7 +2167,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -354,7 +2176,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -378,7 +2200,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.8.3"
   }
  },
  "nbformat": 4,