diff --git a/your-code/main.ipynb b/your-code/main.ipynb
index f50ae3d..b7e9136 100755
--- a/your-code/main.ipynb
+++ b/your-code/main.ipynb
@@ -18,11 +18,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "import numpy as np\n",
+    "import pandas as pd"
    ]
   },
   {
@@ -34,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -43,11 +45,34 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0     5.7\n",
+       "1    75.2\n",
+       "2    74.4\n",
+       "3    84.0\n",
+       "4    66.5\n",
+       "5    66.3\n",
+       "6    55.8\n",
+       "7    75.7\n",
+       "8    29.1\n",
+       "9    43.7\n",
+       "dtype: float64"
+      ]
+     },
+     "execution_count": 3,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "lst_serie = pd.Series(lst)\n",
+    "lst_serie"
    ]
   },
   {
@@ -61,11 +86,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "74.4"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "lst_serie[2]"
    ]
   },
   {
@@ -77,7 +114,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -95,11 +132,35 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   colum1  column2  column3  column4  column5\n",
+      "0    53.1     95.0     67.5     35.0     78.4\n",
+      "1    61.3     40.8     30.8     37.8     87.6\n",
+      "2    20.6     73.2     44.2     14.6     91.8\n",
+      "3    57.4      0.1     96.1      4.2     69.5\n",
+      "4    83.6     20.5     85.4     22.8     35.9\n",
+      "5    49.0     69.0      0.1     31.8     89.1\n",
+      "6    23.3     40.7     95.0     83.8     26.9\n",
+      "7    27.6     26.4     53.8     88.8     68.5\n",
+      "8    96.6     96.4     53.4     72.4     50.1\n",
+      "9    73.7     39.0     43.2     81.6     34.7\n"
+     ]
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "b = pd.DataFrame({'colum1' : [53.1, 61.3, 20.6, 57.4, 83.6, 49.0, 23.3, 27.6, 96.6, 73.7],\n",
+    "                  'column2' : [ 95.0, 40.8, 73.2, 0.1, 20.5, 69.0, 40.7, 26.4, 96.4, 39.0],\n",
+    "                  'column3' : [ 67.5, 30.8, 44.2, 96.1, 85.4, 0.1, 95.0, 53.8, 53.4, 43.2],\n",
+    "                  'column4' : [35.0, 37.8, 14.6, 4.2, 22.8, 31.8, 83.8, 88.8, 72.4, 81.6],\n",
+    "                  'column5' : [78.4, 87.6, 91.8, 69.5, 35.9, 89.1, 26.9, 68.5, 50.1, 34.7]})\n",
+    "b"
    ]
   },
   {
@@ -111,7 +172,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -120,11 +181,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 8,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   Score_1  Score_2  Score_3  Score_4  Score_5\n",
+      "0     53.1     95.0     67.5     35.0     78.4\n",
+      "1     61.3     40.8     30.8     37.8     87.6\n",
+      "2     20.6     73.2     44.2     14.6     91.8\n",
+      "3     57.4      0.1     96.1      4.2     69.5\n",
+      "4     83.6     20.5     85.4     22.8     35.9\n",
+      "5     49.0     69.0      0.1     31.8     89.1\n",
+      "6     23.3     40.7     95.0     83.8     26.9\n",
+      "7     27.6     26.4     53.8     88.8     68.5\n",
+      "8     96.6     96.4     53.4     72.4     50.1\n",
+      "9     73.7     39.0     43.2     81.6     34.7\n"
+     ]
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "b.columns = ['Score_1', 'Score_2', 'Score_3', 'Score_4', 'Score_5']\n",
+    "b"
    ]
   },
   {
@@ -136,11 +217,123 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "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>Score_1</th>\n",
+       "      <th>Score_2</th>\n",
+       "      <th>Score_5</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>53.1</td>\n",
+       "      <td>95.0</td>\n",
+       "      <td>78.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>61.3</td>\n",
+       "      <td>40.8</td>\n",
+       "      <td>87.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20.6</td>\n",
+       "      <td>73.2</td>\n",
+       "      <td>91.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>57.4</td>\n",
+       "      <td>0.1</td>\n",
+       "      <td>69.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>83.6</td>\n",
+       "      <td>20.5</td>\n",
+       "      <td>35.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>49.0</td>\n",
+       "      <td>69.0</td>\n",
+       "      <td>89.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>23.3</td>\n",
+       "      <td>40.7</td>\n",
+       "      <td>26.9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>27.6</td>\n",
+       "      <td>26.4</td>\n",
+       "      <td>68.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>96.6</td>\n",
+       "      <td>96.4</td>\n",
+       "      <td>50.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>73.7</td>\n",
+       "      <td>39.0</td>\n",
+       "      <td>34.7</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Score_1  Score_2  Score_5\n",
+       "0     53.1     95.0     78.4\n",
+       "1     61.3     40.8     87.6\n",
+       "2     20.6     73.2     91.8\n",
+       "3     57.4      0.1     69.5\n",
+       "4     83.6     20.5     35.9\n",
+       "5     49.0     69.0     89.1\n",
+       "6     23.3     40.7     26.9\n",
+       "7     27.6     26.4     68.5\n",
+       "8     96.6     96.4     50.1\n",
+       "9     73.7     39.0     34.7"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "score135 = b[['Score_1', 'Score_2', 'Score_5']]\n",
+    "score135"
    ]
   },
   {
@@ -152,11 +345,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "56.95000000000001"
+      ]
+     },
+     "execution_count": 10,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "b['Score_3'].mean()"
    ]
   },
   {
@@ -168,11 +373,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "88.8"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "b['Score_4'].max()"
    ]
   },
   {
@@ -184,11 +401,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "40.75"
+      ]
+     },
+     "execution_count": 12,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "b['Score_2'].median()"
    ]
   },
   {
@@ -200,7 +429,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -221,11 +450,146 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 14,
    "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>Description</th>\n",
+       "      <th>Quantity</th>\n",
+       "      <th>UnitPrice</th>\n",
+       "      <th>Revenue</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>LUNCH BAG APPLE DESIGN</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>1.65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>SET OF 60 VINTAGE LEAF CAKE CASES</td>\n",
+       "      <td>24</td>\n",
+       "      <td>0.55</td>\n",
+       "      <td>13.20</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>RIBBON REEL STRIPES DESIGN</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1.65</td>\n",
+       "      <td>1.65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>WORLD WAR 2 GLIDERS ASSTD DESIGNS</td>\n",
+       "      <td>2880</td>\n",
+       "      <td>0.18</td>\n",
+       "      <td>518.40</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>PLAYING CARDS JUBILEE UNION JACK</td>\n",
+       "      <td>2</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>2.50</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>POPCORN HOLDER</td>\n",
+       "      <td>7</td>\n",
+       "      <td>0.85</td>\n",
+       "      <td>5.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>BOX OF VINTAGE ALPHABET BLOCKS</td>\n",
+       "      <td>1</td>\n",
+       "      <td>11.95</td>\n",
+       "      <td>11.95</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>PARTY BUNTING</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4.95</td>\n",
+       "      <td>19.80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>JAZZ HEARTS ADDRESS BOOK</td>\n",
+       "      <td>10</td>\n",
+       "      <td>0.19</td>\n",
+       "      <td>1.90</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>SET OF 4 SANTA PLACE SETTINGS</td>\n",
+       "      <td>48</td>\n",
+       "      <td>1.25</td>\n",
+       "      <td>60.00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                          Description  Quantity  UnitPrice  Revenue\n",
+       "0              LUNCH BAG APPLE DESIGN         1       1.65     1.65\n",
+       "1  SET OF 60 VINTAGE LEAF CAKE CASES         24       0.55    13.20\n",
+       "2         RIBBON REEL STRIPES DESIGN          1       1.65     1.65\n",
+       "3   WORLD WAR 2 GLIDERS ASSTD DESIGNS      2880       0.18   518.40\n",
+       "4    PLAYING CARDS JUBILEE UNION JACK         2       1.25     2.50\n",
+       "5                      POPCORN HOLDER         7       0.85     5.95\n",
+       "6      BOX OF VINTAGE ALPHABET BLOCKS         1      11.95    11.95\n",
+       "7                       PARTY BUNTING         4       4.95    19.80\n",
+       "8            JAZZ HEARTS ADDRESS BOOK        10       0.19     1.90\n",
+       "9       SET OF 4 SANTA PLACE SETTINGS        48       1.25    60.00"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "orders = pd.DataFrame({'Description': ['LUNCH BAG APPLE DESIGN',\n",
+    "  'SET OF 60 VINTAGE LEAF CAKE CASES ',\n",
+    "  'RIBBON REEL STRIPES DESIGN ',\n",
+    "  'WORLD WAR 2 GLIDERS ASSTD DESIGNS',\n",
+    "  'PLAYING CARDS JUBILEE UNION JACK',\n",
+    "  'POPCORN HOLDER',\n",
+    "  'BOX OF VINTAGE ALPHABET BLOCKS',\n",
+    "  'PARTY BUNTING',\n",
+    "  'JAZZ HEARTS ADDRESS BOOK',\n",
+    "  'SET OF 4 SANTA PLACE SETTINGS'],\n",
+    " 'Quantity': [1, 24, 1, 2880, 2, 7, 1, 4, 10, 48],\n",
+    " 'UnitPrice': [1.65, 0.55, 1.65, 0.18, 1.25, 0.85, 11.95, 4.95, 0.19, 1.25],\n",
+    " 'Revenue': [1.65, 13.2, 1.65, 518.4, 2.5, 5.95, 11.95, 19.8, 1.9, 60.0]})\n",
+    "orders"
    ]
   },
   {
@@ -237,11 +601,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "2978"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "orders['Quantity'].sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 16,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "637.0"
+      ]
+     },
+     "execution_count": 16,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "orders['Revenue'].sum()"
    ]
   },
   {
@@ -253,11 +649,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "max =  11.95\n",
+      "min =  0.18\n",
+      "difference =  11.77\n"
+     ]
+    }
+   ],
    "source": [
-    "# your code here"
+    "# your code here\n",
+    "print('max = ', orders['UnitPrice'].max())\n",
+    "print('min = ', orders['UnitPrice'].min())\n",
+    "difference = orders['UnitPrice'].max() - orders['UnitPrice'].min()\n",
+    "print('difference = ', difference)"
    ]
   }
  ],
@@ -277,7 +687,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.2"
+   "version": "3.8.3"
   }
  },
  "nbformat": 4,