diff --git a/Wholesale customers data.csv b/your-code/Wholesale customers data.csv
old mode 100755
new mode 100644
similarity index 100%
rename from Wholesale customers data.csv
rename to your-code/Wholesale customers data.csv
diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index 9a2d1ae..7df982c 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -12,7 +12,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 71,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -38,12 +38,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 72,
    "metadata": {},
    "outputs": [],
    "source": [
     "# loading the data:\n",
-    "customers = pd.read_csv('../Wholesale customers data.csv')"
+    "customers = pd.read_csv(\"Wholesale customers data.csv\")"
    ]
   },
   {
@@ -67,20 +67,240 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 73,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Channel             int64\n",
+       "Region              int64\n",
+       "Fresh               int64\n",
+       "Milk                int64\n",
+       "Grocery             int64\n",
+       "Frozen              int64\n",
+       "Detergents_Paper    int64\n",
+       "Delicassen          int64\n",
+       "dtype: object"
+      ]
+     },
+     "execution_count": 73,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "customers.dtypes"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 74,
    "metadata": {},
-   "outputs": [],
+   "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": 74,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your observations here"
+    "customers.isnull().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 75,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "(440, 8)"
+      ]
+     },
+     "execution_count": 75,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.shape"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 76,
+   "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>Channel</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.062028</td>\n",
+       "      <td>-0.169172</td>\n",
+       "      <td>0.460720</td>\n",
+       "      <td>0.608792</td>\n",
+       "      <td>-0.202046</td>\n",
+       "      <td>0.636026</td>\n",
+       "      <td>0.056011</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Region</th>\n",
+       "      <td>0.062028</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.055287</td>\n",
+       "      <td>0.032288</td>\n",
+       "      <td>0.007696</td>\n",
+       "      <td>-0.021044</td>\n",
+       "      <td>-0.001483</td>\n",
+       "      <td>0.045212</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Fresh</th>\n",
+       "      <td>-0.169172</td>\n",
+       "      <td>0.055287</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.100510</td>\n",
+       "      <td>-0.011854</td>\n",
+       "      <td>0.345881</td>\n",
+       "      <td>-0.101953</td>\n",
+       "      <td>0.244690</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Milk</th>\n",
+       "      <td>0.460720</td>\n",
+       "      <td>0.032288</td>\n",
+       "      <td>0.100510</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.728335</td>\n",
+       "      <td>0.123994</td>\n",
+       "      <td>0.661816</td>\n",
+       "      <td>0.406368</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Grocery</th>\n",
+       "      <td>0.608792</td>\n",
+       "      <td>0.007696</td>\n",
+       "      <td>-0.011854</td>\n",
+       "      <td>0.728335</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.040193</td>\n",
+       "      <td>0.924641</td>\n",
+       "      <td>0.205497</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Frozen</th>\n",
+       "      <td>-0.202046</td>\n",
+       "      <td>-0.021044</td>\n",
+       "      <td>0.345881</td>\n",
+       "      <td>0.123994</td>\n",
+       "      <td>-0.040193</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>-0.131525</td>\n",
+       "      <td>0.390947</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <td>0.636026</td>\n",
+       "      <td>-0.001483</td>\n",
+       "      <td>-0.101953</td>\n",
+       "      <td>0.661816</td>\n",
+       "      <td>0.924641</td>\n",
+       "      <td>-0.131525</td>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>0.069291</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Delicassen</th>\n",
+       "      <td>0.056011</td>\n",
+       "      <td>0.045212</td>\n",
+       "      <td>0.244690</td>\n",
+       "      <td>0.406368</td>\n",
+       "      <td>0.205497</td>\n",
+       "      <td>0.390947</td>\n",
+       "      <td>0.069291</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                   Channel    Region     Fresh      Milk   Grocery    Frozen  \\\n",
+       "Channel           1.000000  0.062028 -0.169172  0.460720  0.608792 -0.202046   \n",
+       "Region            0.062028  1.000000  0.055287  0.032288  0.007696 -0.021044   \n",
+       "Fresh            -0.169172  0.055287  1.000000  0.100510 -0.011854  0.345881   \n",
+       "Milk              0.460720  0.032288  0.100510  1.000000  0.728335  0.123994   \n",
+       "Grocery           0.608792  0.007696 -0.011854  0.728335  1.000000 -0.040193   \n",
+       "Frozen           -0.202046 -0.021044  0.345881  0.123994 -0.040193  1.000000   \n",
+       "Detergents_Paper  0.636026 -0.001483 -0.101953  0.661816  0.924641 -0.131525   \n",
+       "Delicassen        0.056011  0.045212  0.244690  0.406368  0.205497  0.390947   \n",
+       "\n",
+       "                  Detergents_Paper  Delicassen  \n",
+       "Channel                   0.636026    0.056011  \n",
+       "Region                   -0.001483    0.045212  \n",
+       "Fresh                    -0.101953    0.244690  \n",
+       "Milk                      0.661816    0.406368  \n",
+       "Grocery                   0.924641    0.205497  \n",
+       "Frozen                   -0.131525    0.390947  \n",
+       "Detergents_Paper          1.000000    0.069291  \n",
+       "Delicassen                0.069291    1.000000  "
+      ]
+     },
+     "execution_count": 76,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.corr()\n",
+    "#milk and grocery; grocery and detergents_paper --> these two have the highest correlation"
    ]
   },
   {
@@ -94,7 +314,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 77,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -103,11 +323,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 78,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Your comment here"
+    "# Your comment here\n",
+    "# the dataset is in the same data type, there's no null values."
    ]
   },
   {
@@ -127,15 +348,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 79,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([[ 1.44865163,  0.59066829,  0.05293319, ..., -0.58936716,\n",
+       "        -0.04356873, -0.06633906],\n",
+       "       [ 1.44865163,  0.59066829, -0.39130197, ..., -0.27013618,\n",
+       "         0.08640684,  0.08915105],\n",
+       "       [ 1.44865163,  0.59066829, -0.44702926, ..., -0.13753572,\n",
+       "         0.13323164,  2.24329255],\n",
+       "       ...,\n",
+       "       [ 1.44865163,  0.59066829,  0.20032554, ..., -0.54337975,\n",
+       "         2.51121768,  0.12145607],\n",
+       "       [-0.69029709,  0.59066829, -0.13538389, ..., -0.41944059,\n",
+       "        -0.56977032,  0.21304614],\n",
+       "       [-0.69029709,  0.59066829, -0.72930698, ..., -0.62009417,\n",
+       "        -0.50488752, -0.52286938]])"
+      ]
+     },
+     "execution_count": 79,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# Your import here:\n",
-    "\n",
     "from sklearn.preprocessing import StandardScaler\n",
     "\n",
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "model = StandardScaler()\n",
+    "model.fit(customers)\n",
+    "customers_scale = model.transform(customers) \n",
+    "customers_scale"
    ]
   },
   {
@@ -149,13 +396,168 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 80,
    "metadata": {
     "scrolled": true
    },
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "c:\\Users\\carol\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
+      "  warnings.warn(\n",
+      "c:\\Users\\carol\\anaconda3\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1382: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=2.\n",
+      "  warnings.warn(\n"
+     ]
+    },
+    {
+     "data": {
+      "text/plain": [
+       "array([0, 0, 0, 2, 0, 0, 0, 0, 2, 0, 0, 0, 0, 0, 0, 2, 0, 2, 0, 2, 0, 2,\n",
+       "       2, 1, 0, 0, 2, 2, 0, 2, 2, 2, 2, 2, 2, 0, 2, 0, 0, 2, 2, 2, 0, 0,\n",
+       "       0, 0, 0, 1, 0, 0, 2, 2, 0, 0, 2, 2, 1, 0, 2, 2, 0, 1, 0, 0, 2, 1,\n",
+       "       2, 0, 2, 2, 2, 2, 2, 0, 0, 2, 2, 0, 2, 2, 2, 0, 0, 2, 0, 1, 1, 2,\n",
+       "       2, 2, 2, 2, 1, 2, 0, 2, 0, 2, 2, 2, 0, 0, 0, 2, 2, 2, 0, 0, 0, 0,\n",
+       "       2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 2, 2, 0, 2, 2, 2, 2,\n",
+       "       2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2,\n",
+       "       2, 0, 0, 2, 0, 0, 0, 2, 2, 0, 0, 0, 0, 2, 2, 2, 0, 0, 2, 0, 2, 0,\n",
+       "       2, 2, 2, 2, 2, 1, 2, 1, 2, 2, 2, 2, 0, 0, 2, 2, 2, 0, 2, 2, 2, 0,\n",
+       "       2, 2, 0, 0, 2, 2, 2, 0, 2, 0, 2, 0, 2, 1, 2, 2, 0, 2, 0, 2, 0, 2,\n",
+       "       2, 2, 2, 0, 2, 2, 0, 2, 2, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
+       "       2, 2, 2, 0, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
+       "       0, 2, 0, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 0, 2, 2, 2, 2,\n",
+       "       2, 2, 2, 2, 2, 2, 2, 0, 2, 0, 2, 0, 0, 2, 0, 0, 0, 0, 0, 0, 0, 2,\n",
+       "       2, 0, 2, 2, 0, 2, 2, 0, 2, 2, 2, 0, 2, 2, 2, 2, 2, 1, 2, 2, 2, 2,\n",
+       "       2, 0, 2, 1, 2, 0, 2, 2, 2, 2, 0, 0, 2, 0, 2, 2, 0, 0, 2, 0, 2, 0,\n",
+       "       2, 0, 2, 2, 2, 0, 2, 2, 2, 2, 2, 2, 2, 0, 2, 2, 2, 2, 0, 2, 2, 0,\n",
+       "       2, 2, 0, 2, 2, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2,\n",
+       "       0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 0, 2, 2, 2, 2, 2, 2, 0, 0, 2,\n",
+       "       0, 2, 2, 0, 2, 0, 0, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 2, 0, 2, 2])"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here:\n",
+    "from sklearn import cluster\n",
+    "\n",
+    "kmeans = cluster.KMeans(n_clusters = 3)\n",
+    "kmeans.fit(customers_scale)\n",
+    "\n",
+    "labels_ = kmeans.predict(customers_scale)\n",
+    "labels_\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 81,
+   "metadata": {},
    "outputs": [],
    "source": [
-    "# Your code here:\n"
+    "customers[\"labels\"] = labels_"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 82,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "      <th>labels</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12669</td>\n",
+       "      <td>9656</td>\n",
+       "      <td>7561</td>\n",
+       "      <td>214</td>\n",
+       "      <td>2674</td>\n",
+       "      <td>1338</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7057</td>\n",
+       "      <td>9810</td>\n",
+       "      <td>9568</td>\n",
+       "      <td>1762</td>\n",
+       "      <td>3293</td>\n",
+       "      <td>1776</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6353</td>\n",
+       "      <td>8808</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>2405</td>\n",
+       "      <td>3516</td>\n",
+       "      <td>7844</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Channel  Region  Fresh  Milk  Grocery  Frozen  Detergents_Paper  \\\n",
+       "0        2       3  12669  9656     7561     214              2674   \n",
+       "1        2       3   7057  9810     9568    1762              3293   \n",
+       "2        2       3   6353  8808     7684    2405              3516   \n",
+       "\n",
+       "   Delicassen  labels  \n",
+       "0        1338       0  \n",
+       "1        1776       0  \n",
+       "2        7844       0  "
+      ]
+     },
+     "execution_count": 82,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers.head(3)"
    ]
   },
   {
@@ -167,11 +569,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 83,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2    296\n",
+       "0    130\n",
+       "1     14\n",
+       "Name: labels, dtype: int64"
+      ]
+     },
+     "execution_count": 83,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "customers[\"labels\"].value_counts()"
    ]
   },
   {
@@ -185,13 +602,158 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 84,
    "metadata": {
     "scrolled": true
    },
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "array([-1, -1, -1,  1, -1, -1,  0, -1,  1, -1, -1, -1, -1, -1, -1,  1,  3,\n",
+       "       -1, -1,  1, -1,  1, -1, -1, -1,  0,  1,  1, -1,  2, -1,  1,  1, -1,\n",
+       "        1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,  1,\n",
+       "        1, -1,  3,  1,  1, -1, -1,  1, -1,  0, -1, -1, -1,  1, -1, -1, -1,\n",
+       "       -1,  1, -1, -1, -1, -1, -1,  1, -1, -1,  1,  1,  1, -1, -1,  1,  0,\n",
+       "       -1, -1, -1, -1, -1,  1,  1, -1, -1,  3,  1, -1,  1,  1,  1, -1, -1,\n",
+       "        4, -1,  1,  1,  4, -1, -1, -1,  1, -1, -1,  1,  1,  1,  1,  1,  1,\n",
+       "        1,  1,  1,  1, -1, -1, -1,  1, -1, -1,  2,  1,  1,  1,  1,  1,  1,\n",
+       "       -1, -1, -1,  1, -1, -1, -1,  1,  1, -1,  1,  1,  1,  1,  1,  1,  1,\n",
+       "       -1,  1, -1, -1,  1,  4, -1,  4,  1,  1, -1, -1, -1, -1,  1,  1,  1,\n",
+       "        3, -1,  1, -1,  1,  4, -1, -1, -1, -1, -1, -1, -1, -1,  1, -1,  1,\n",
+       "       -1, -1, -1, -1,  1,  1, -1,  1, -1, -1, -1, -1,  5, -1, -1, -1,  5,\n",
+       "        5, -1,  5, -1, -1, -1,  5, -1,  5, -1, -1, -1, -1,  5, -1,  5,  5,\n",
+       "       -1,  6, -1,  5,  5, -1,  5, -1,  6, -1, -1, -1, -1, -1, -1,  5, -1,\n",
+       "        5, -1, -1, -1,  5, -1, -1, -1,  5,  5,  5,  6,  5, -1,  6, -1, -1,\n",
+       "       -1,  5, -1, -1, -1,  5,  6, -1, -1, -1, -1, -1, -1, -1,  5,  6, -1,\n",
+       "       -1, -1,  1,  1, -1, -1,  1, -1,  1, -1, -1, -1, -1,  2,  1,  1,  1,\n",
+       "        2,  1,  1,  1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
+       "       -1, -1,  7, -1, -1, -1, -1, -1, -1, -1,  7, -1, -1, -1, -1,  7, -1,\n",
+       "       -1, -1, -1,  7, -1, -1, -1,  7, -1, -1, -1, -1, -1, -1, -1, -1, -1,\n",
+       "       -1,  4, -1, -1,  1, -1, -1, -1,  1, -1,  1, -1,  1, -1, -1,  1,  1,\n",
+       "       -1, -1,  1,  1,  1,  1,  1,  1, -1,  1,  1,  1,  1, -1,  1, -1, -1,\n",
+       "        1,  1, -1,  2,  1, -1,  1, -1, -1,  1, -1,  1,  1,  1,  1,  1,  1,\n",
+       "        1,  1, -1,  1,  1, -1,  1,  1,  1,  1, -1, -1, -1,  1,  1, -1, -1,\n",
+       "        0, -1,  1, -1, -1, -1,  1,  4,  3, -1, -1,  1, -1, -1,  1, -1, -1,\n",
+       "       -1, -1, -1,  1,  1, -1, -1,  1,  1, -1, -1, -1, -1,  1,  1],\n",
+       "      dtype=int64)"
+      ]
+     },
+     "execution_count": 84,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "dbscan = cluster.DBSCAN(eps = 0.5, min_samples = 5)\n",
+    "\n",
+    "labels_DBSCAN = dbscan.fit_predict(customers_scale)\n",
+    "labels_DBSCAN"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 85,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "      <th>labels</th>\n",
+       "      <th>labels_DBSCAN</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>12669</td>\n",
+       "      <td>9656</td>\n",
+       "      <td>7561</td>\n",
+       "      <td>214</td>\n",
+       "      <td>2674</td>\n",
+       "      <td>1338</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>7057</td>\n",
+       "      <td>9810</td>\n",
+       "      <td>9568</td>\n",
+       "      <td>1762</td>\n",
+       "      <td>3293</td>\n",
+       "      <td>1776</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>3</td>\n",
+       "      <td>6353</td>\n",
+       "      <td>8808</td>\n",
+       "      <td>7684</td>\n",
+       "      <td>2405</td>\n",
+       "      <td>3516</td>\n",
+       "      <td>7844</td>\n",
+       "      <td>0</td>\n",
+       "      <td>-1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Channel  Region  Fresh  Milk  Grocery  Frozen  Detergents_Paper  \\\n",
+       "0        2       3  12669  9656     7561     214              2674   \n",
+       "1        2       3   7057  9810     9568    1762              3293   \n",
+       "2        2       3   6353  8808     7684    2405              3516   \n",
+       "\n",
+       "   Delicassen  labels  labels_DBSCAN  \n",
+       "0        1338       0             -1  \n",
+       "1        1776       0             -1  \n",
+       "2        7844       0             -1  "
+      ]
+     },
+     "execution_count": 85,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "customers[\"labels_DBSCAN\"] = labels_DBSCAN\n",
+    "customers.head(3)"
    ]
   },
   {
@@ -203,11 +765,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 86,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "-1    255\n",
+       " 1    130\n",
+       " 5     22\n",
+       " 4      7\n",
+       " 6      6\n",
+       " 0      5\n",
+       " 3      5\n",
+       " 2      5\n",
+       " 7      5\n",
+       "Name: labels_DBSCAN, dtype: int64"
+      ]
+     },
+     "execution_count": 86,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here\n"
+    "# Your code here\n",
+    "customers[\"labels_DBSCAN\"].value_counts()"
    ]
   },
   {
@@ -225,6 +808,29 @@
     "* `Frozen` as X and `Delicassen` as y"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 87,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Your code here:\n",
+    "plt.figure(figsize=(5,5))\n",
+    "plt.scatter(customers[\"labels\"], customers[\"labels_DBSCAN\"],  alpha=0.5, c=labels)\n",
+    "plt.show()"
+   ]
+  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -234,11 +840,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 88,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "plt.figure(figsize=(5,5))\n",
+    "plt.scatter(customers[\"Detergents_Paper\"], customers[\"Milk\"], alpha=0.5, c=labels_)\n",
+    "plt.title(\"Detergents_Paper and Milk (Labels)\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.figure(figsize=(5,5))\n",
+    "plt.scatter(customers[\"Detergents_Paper\"], customers[\"Milk\"], alpha=0.5, c=labels_DBSCAN)\n",
+    "plt.title(\"Detergents_Paper and Milk (Labels_DBSCAN)\")\n",
+    "plt.show()"
    ]
   },
   {
@@ -250,11 +886,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 97,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "# Your code here:\n",
+    "plt.figure(figsize=(5,5))\n",
+    "plt.scatter(customers[\"Grocery\"], customers[\"Fresh\"], alpha=0.5, c=labels_)\n",
+    "plt.title(\"Grocery and Fresh (Labels)\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.figure(figsize=(5,5))\n",
+    "plt.scatter(customers[\"Grocery\"], customers[\"Fresh\"], alpha=0.5, c=labels_DBSCAN)\n",
+    "plt.title(\"Grocery and Fresh (Labels_DBSCAN)\")\n",
+    "plt.show()"
    ]
   },
   {
@@ -266,11 +932,41 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 98,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 1 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
    "source": [
-    "# Your code here:"
+    "# Your code here:\n",
+    "plt.figure(figsize=(5,5))\n",
+    "plt.scatter(customers[\"Frozen\"], customers[\"Delicassen\"], alpha=0.5, c=labels_)\n",
+    "plt.title(\"Frozen and Delicassen (Labels)\")\n",
+    "plt.show()\n",
+    "\n",
+    "plt.figure(figsize=(5,5))\n",
+    "plt.scatter(customers[\"Frozen\"], customers[\"Delicassen\"], alpha=0.5, c=labels_DBSCAN)\n",
+    "plt.title(\"Frozen and Delicassen (Labels_DBSCAN)\")\n",
+    "plt.show()"
    ]
   },
   {
@@ -282,11 +978,313 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 99,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "      <th>labels_DBSCAN</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>labels</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>2.623077</td>\n",
+       "      <td>8165.915385</td>\n",
+       "      <td>8748.515385</td>\n",
+       "      <td>13905.492308</td>\n",
+       "      <td>1441.630769</td>\n",
+       "      <td>5991.146154</td>\n",
+       "      <td>1535.007692</td>\n",
+       "      <td>-0.538462</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.785714</td>\n",
+       "      <td>2.571429</td>\n",
+       "      <td>26266.928571</td>\n",
+       "      <td>33847.785714</td>\n",
+       "      <td>39952.285714</td>\n",
+       "      <td>10703.428571</td>\n",
+       "      <td>18539.142857</td>\n",
+       "      <td>7718.071429</td>\n",
+       "      <td>-1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.003378</td>\n",
+       "      <td>2.506757</td>\n",
+       "      <td>13009.543919</td>\n",
+       "      <td>3172.908784</td>\n",
+       "      <td>3822.689189</td>\n",
+       "      <td>3426.993243</td>\n",
+       "      <td>775.202703</td>\n",
+       "      <td>1227.496622</td>\n",
+       "      <td>0.652027</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "         Channel    Region         Fresh          Milk       Grocery  \\\n",
+       "labels                                                                 \n",
+       "0       2.000000  2.623077   8165.915385   8748.515385  13905.492308   \n",
+       "1       1.785714  2.571429  26266.928571  33847.785714  39952.285714   \n",
+       "2       1.003378  2.506757  13009.543919   3172.908784   3822.689189   \n",
+       "\n",
+       "              Frozen  Detergents_Paper   Delicassen  labels_DBSCAN  \n",
+       "labels                                                              \n",
+       "0        1441.630769       5991.146154  1535.007692      -0.538462  \n",
+       "1       10703.428571      18539.142857  7718.071429      -1.000000  \n",
+       "2        3426.993243        775.202703  1227.496622       0.652027  "
+      ]
+     },
+     "execution_count": 99,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Your code here:\n",
+    "customers.groupby([\"labels\"]).mean()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 100,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Channel</th>\n",
+       "      <th>Region</th>\n",
+       "      <th>Fresh</th>\n",
+       "      <th>Milk</th>\n",
+       "      <th>Grocery</th>\n",
+       "      <th>Frozen</th>\n",
+       "      <th>Detergents_Paper</th>\n",
+       "      <th>Delicassen</th>\n",
+       "      <th>labels</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>labels_DBSCAN</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>-1</th>\n",
+       "      <td>1.490196</td>\n",
+       "      <td>2.45098</td>\n",
+       "      <td>13729.564706</td>\n",
+       "      <td>8359.886275</td>\n",
+       "      <td>11484.364706</td>\n",
+       "      <td>3795.003922</td>\n",
+       "      <td>4356.800000</td>\n",
+       "      <td>2080.470588</td>\n",
+       "      <td>1.058824</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>11401.000000</td>\n",
+       "      <td>3536.200000</td>\n",
+       "      <td>6729.000000</td>\n",
+       "      <td>720.200000</td>\n",
+       "      <td>3561.000000</td>\n",
+       "      <td>258.200000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>9128.823077</td>\n",
+       "      <td>1862.438462</td>\n",
+       "      <td>2423.530769</td>\n",
+       "      <td>2131.430769</td>\n",
+       "      <td>496.576923</td>\n",
+       "      <td>741.946154</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>41446.600000</td>\n",
+       "      <td>1421.200000</td>\n",
+       "      <td>2167.600000</td>\n",
+       "      <td>1276.400000</td>\n",
+       "      <td>416.200000</td>\n",
+       "      <td>784.800000</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>2357.200000</td>\n",
+       "      <td>10224.800000</td>\n",
+       "      <td>11862.800000</td>\n",
+       "      <td>609.600000</td>\n",
+       "      <td>5780.000000</td>\n",
+       "      <td>572.800000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2.000000</td>\n",
+       "      <td>3.00000</td>\n",
+       "      <td>3068.142857</td>\n",
+       "      <td>6095.857143</td>\n",
+       "      <td>10355.000000</td>\n",
+       "      <td>994.000000</td>\n",
+       "      <td>4675.571429</td>\n",
+       "      <td>1826.428571</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>9837.863636</td>\n",
+       "      <td>1751.863636</td>\n",
+       "      <td>2161.681818</td>\n",
+       "      <td>1513.181818</td>\n",
+       "      <td>333.954545</td>\n",
+       "      <td>669.045455</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>1.00000</td>\n",
+       "      <td>6823.000000</td>\n",
+       "      <td>1943.000000</td>\n",
+       "      <td>2372.666667</td>\n",
+       "      <td>6780.333333</td>\n",
+       "      <td>386.500000</td>\n",
+       "      <td>613.666667</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>1.000000</td>\n",
+       "      <td>2.00000</td>\n",
+       "      <td>7494.600000</td>\n",
+       "      <td>1537.600000</td>\n",
+       "      <td>3383.000000</td>\n",
+       "      <td>2575.400000</td>\n",
+       "      <td>227.400000</td>\n",
+       "      <td>941.000000</td>\n",
+       "      <td>2.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                Channel   Region         Fresh          Milk       Grocery  \\\n",
+       "labels_DBSCAN                                                                \n",
+       "-1             1.490196  2.45098  13729.564706   8359.886275  11484.364706   \n",
+       " 0             2.000000  3.00000  11401.000000   3536.200000   6729.000000   \n",
+       " 1             1.000000  3.00000   9128.823077   1862.438462   2423.530769   \n",
+       " 2             1.000000  3.00000  41446.600000   1421.200000   2167.600000   \n",
+       " 3             2.000000  3.00000   2357.200000  10224.800000  11862.800000   \n",
+       " 4             2.000000  3.00000   3068.142857   6095.857143  10355.000000   \n",
+       " 5             1.000000  1.00000   9837.863636   1751.863636   2161.681818   \n",
+       " 6             1.000000  1.00000   6823.000000   1943.000000   2372.666667   \n",
+       " 7             1.000000  2.00000   7494.600000   1537.600000   3383.000000   \n",
+       "\n",
+       "                    Frozen  Detergents_Paper   Delicassen    labels  \n",
+       "labels_DBSCAN                                                        \n",
+       "-1             3795.003922       4356.800000  2080.470588  1.058824  \n",
+       " 0              720.200000       3561.000000   258.200000  0.000000  \n",
+       " 1             2131.430769        496.576923   741.946154  2.000000  \n",
+       " 2             1276.400000        416.200000   784.800000  2.000000  \n",
+       " 3              609.600000       5780.000000   572.800000  0.000000  \n",
+       " 4              994.000000       4675.571429  1826.428571  0.000000  \n",
+       " 5             1513.181818        333.954545   669.045455  2.000000  \n",
+       " 6             6780.333333        386.500000   613.666667  2.000000  \n",
+       " 7             2575.400000        227.400000   941.000000  2.000000  "
+      ]
+     },
+     "execution_count": 100,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# Your code here:\n"
+    "customers.groupby([\"labels_DBSCAN\"]).mean()"
    ]
   },
   {
@@ -298,7 +1296,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 92,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -318,7 +1316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 93,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -327,7 +1325,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 94,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -345,7 +1343,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 95,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -354,7 +1352,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 96,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -378,7 +1376,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.8"
+   "version": "3.10.9"
   }
  },
  "nbformat": 4,