diff --git a/your-code/pandas_1.ipynb b/your-code/pandas_1.ipynb
index 4f428ac..62c6d7a 100644
--- a/your-code/pandas_1.ipynb
+++ b/your-code/pandas_1.ipynb
@@ -35,7 +35,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -44,10 +44,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "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\n"
+     ]
+    }
+   ],
+   "source": [
+    "l = pd.Series(lst)\n",
+    "print(l)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -60,10 +81,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "74.4\n"
+     ]
+    }
+   ],
+   "source": [
+    "i = l.iloc[2]\n",
+    "print(i)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -74,7 +106,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,10 +124,145 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "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>0</th>\n",
+       "      <th>1</th>\n",
+       "      <th>2</th>\n",
+       "      <th>3</th>\n",
+       "      <th>4</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>67.5</td>\n",
+       "      <td>35.0</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>30.8</td>\n",
+       "      <td>37.8</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>44.2</td>\n",
+       "      <td>14.6</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>96.1</td>\n",
+       "      <td>4.2</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>85.4</td>\n",
+       "      <td>22.8</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>0.1</td>\n",
+       "      <td>31.8</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>95.0</td>\n",
+       "      <td>83.8</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>53.8</td>\n",
+       "      <td>88.8</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>53.4</td>\n",
+       "      <td>72.4</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>43.2</td>\n",
+       "      <td>81.6</td>\n",
+       "      <td>34.7</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      0     1     2     3     4\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"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mydataframe = pd.DataFrame(b)\n",
+    "mydataframe"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -133,10 +300,145 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "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_3</th>\n",
+       "      <th>Score_4</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>67.5</td>\n",
+       "      <td>35.0</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>30.8</td>\n",
+       "      <td>37.8</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>44.2</td>\n",
+       "      <td>14.6</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>96.1</td>\n",
+       "      <td>4.2</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>85.4</td>\n",
+       "      <td>22.8</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>0.1</td>\n",
+       "      <td>31.8</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>95.0</td>\n",
+       "      <td>83.8</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>53.8</td>\n",
+       "      <td>88.8</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>53.4</td>\n",
+       "      <td>72.4</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>43.2</td>\n",
+       "      <td>81.6</td>\n",
+       "      <td>34.7</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   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"
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mydataframe = pd.DataFrame(b, columns=['Score_1', 'Score_2', 'Score_3', 'Score_4', 'Score_5'])\n",
+    "mydataframe"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -147,10 +449,88 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 32,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "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_3</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>53.1</td>\n",
+       "      <td>67.5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>61.3</td>\n",
+       "      <td>30.8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>20.6</td>\n",
+       "      <td>44.2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>57.4</td>\n",
+       "      <td>96.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>83.6</td>\n",
+       "      <td>85.4</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>49.0</td>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   Score_1  Score_3\n",
+       "0     53.1     67.5\n",
+       "1     61.3     30.8\n",
+       "2     20.6     44.2\n",
+       "3     57.4     96.1\n",
+       "4     83.6     85.4\n",
+       "5     49.0      0.1"
+      ]
+     },
+     "execution_count": 32,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mysubset = mydataframe.loc[0:5,['Score_1','Score_3']]\n",
+    "mysubset"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -161,10 +541,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 36,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "56.95000000000001\n"
+     ]
+    }
+   ],
+   "source": [
+    "my_av = mydataframe['Score_3'].mean()\n",
+    "print(my_av)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -175,10 +566,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 37,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "88.8"
+      ]
+     },
+     "execution_count": 37,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "the_max_of_mydataframe = mydataframe['Score_4'].max()\n",
+    "the_max_of_mydataframe"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -189,10 +594,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 39,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "40.75"
+      ]
+     },
+     "execution_count": 39,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "mymedian = mydataframe['Score_2'].median()\n",
+    "mymedian"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -203,7 +622,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -224,10 +643,134 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 42,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "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": 42,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "d_dataframe = pd.DataFrame(orders, columns=['Description', 'Quantity', 'UnitPrice', 'Revenue'])\n",
+    "d_dataframe"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -238,10 +781,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 45,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "2978\n",
+      "637.0\n"
+     ]
+    }
+   ],
+   "source": [
+    "total_quantity = d_dataframe['Quantity'].sum()\n",
+    "total_revenue = d_dataframe['Revenue'].sum()\n",
+    "print(total_quantity)\n",
+    "print(total_revenue)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -252,10 +809,24 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 48,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "11.77\n"
+     ]
+    }
+   ],
+   "source": [
+    "min_dtfrm = d_dataframe['UnitPrice'].min()\n",
+    "max_dtfrm = d_dataframe['UnitPrice'].max()   \n",
+    "\n",
+    "difference = max_dtfrm - min_dtfrm\n",
+    "print(difference)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -266,7 +837,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -285,10 +856,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 51,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   Serial No.  GRE Score  TOEFL Score  University Rating  SOP  LOR  CGPA  \\\n",
+      "0           1        337          118                  4  4.5  4.5  9.65   \n",
+      "1           2        316          104                  3  3.0  3.5  8.00   \n",
+      "2           3        322          110                  3  3.5  2.5  8.67   \n",
+      "3           4        314          103                  2  2.0  3.0  8.21   \n",
+      "4           5        330          115                  5  4.5  3.0  9.34   \n",
+      "\n",
+      "   Research  Chance of Admit  \n",
+      "0         1             0.92  \n",
+      "1         1             0.72  \n",
+      "2         1             0.80  \n",
+      "3         0             0.65  \n",
+      "4         1             0.90  \n"
+     ]
+    }
+   ],
+   "source": [
+    "thehead = admissions.head()\n",
+    "print(thehead)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -299,10 +893,218 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 52,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "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>Serial No.</th>\n",
+       "      <th>GRE Score</th>\n",
+       "      <th>TOEFL Score</th>\n",
+       "      <th>University Rating</th>\n",
+       "      <th>SOP</th>\n",
+       "      <th>LOR</th>\n",
+       "      <th>CGPA</th>\n",
+       "      <th>Research</th>\n",
+       "      <th>Chance of Admit</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</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>380</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>381</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>382</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>383</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>384</th>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "      <td>False</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>385 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Serial No.  GRE Score  TOEFL Score  University Rating    SOP    LOR  \\\n",
+       "0         False      False        False              False  False  False   \n",
+       "1         False      False        False              False  False  False   \n",
+       "2         False      False        False              False  False  False   \n",
+       "3         False      False        False              False  False  False   \n",
+       "4         False      False        False              False  False  False   \n",
+       "..          ...        ...          ...                ...    ...    ...   \n",
+       "380       False      False        False              False  False  False   \n",
+       "381       False      False        False              False  False  False   \n",
+       "382       False      False        False              False  False  False   \n",
+       "383       False      False        False              False  False  False   \n",
+       "384       False      False        False              False  False  False   \n",
+       "\n",
+       "      CGPA  Research  Chance of Admit  \n",
+       "0    False     False            False  \n",
+       "1    False     False            False  \n",
+       "2    False     False            False  \n",
+       "3    False     False            False  \n",
+       "4    False     False            False  \n",
+       "..     ...       ...              ...  \n",
+       "380  False     False            False  \n",
+       "381  False     False            False  \n",
+       "382  False     False            False  \n",
+       "383  False     False            False  \n",
+       "384  False     False            False  \n",
+       "\n",
+       "[385 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 52,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "null_values = admissions.isnull()\n",
+    "null_values"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -313,17 +1115,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 61,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "new_index = admissions.set_index('Serial No.')"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 62,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "            GRE Score  TOEFL Score  University Rating  SOP  LOR  CGPA  \\\n",
+      "Serial No.                                                              \n",
+      "1                 337          118                  4  4.5  4.5  9.65   \n",
+      "2                 316          104                  3  3.0  3.5  8.00   \n",
+      "3                 322          110                  3  3.5  2.5  8.67   \n",
+      "4                 314          103                  2  2.0  3.0  8.21   \n",
+      "5                 330          115                  5  4.5  3.0  9.34   \n",
+      "...               ...          ...                ...  ...  ...   ...   \n",
+      "381               324          110                  3  3.5  3.5  9.04   \n",
+      "382               325          107                  3  3.0  3.5  9.11   \n",
+      "383               330          116                  4  5.0  4.5  9.45   \n",
+      "384               312          103                  3  3.5  4.0  8.78   \n",
+      "385               333          117                  4  5.0  4.0  9.66   \n",
+      "\n",
+      "            Research  Chance of Admit  \n",
+      "Serial No.                             \n",
+      "1                  1             0.92  \n",
+      "2                  1             0.72  \n",
+      "3                  1             0.80  \n",
+      "4                  0             0.65  \n",
+      "5                  1             0.90  \n",
+      "...              ...              ...  \n",
+      "381                1             0.82  \n",
+      "382                1             0.84  \n",
+      "383                1             0.91  \n",
+      "384                0             0.67  \n",
+      "385                1             0.95  \n",
+      "\n",
+      "[385 rows x 8 columns]\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(new_index)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -334,10 +1176,297 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 80,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "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>Serial No.</th>\n",
+       "      <th>GRE Score</th>\n",
+       "      <th>TOEFL Score</th>\n",
+       "      <th>University Rating</th>\n",
+       "      <th>SOP</th>\n",
+       "      <th>LOR</th>\n",
+       "      <th>CGPA</th>\n",
+       "      <th>Research</th>\n",
+       "      <th>Chance of Admit</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>337</td>\n",
+       "      <td>118</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>9.65</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.92</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>316</td>\n",
+       "      <td>104</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>8.00</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.72</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>322</td>\n",
+       "      <td>110</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>2.5</td>\n",
+       "      <td>8.67</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.80</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>314</td>\n",
+       "      <td>103</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>8.21</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.65</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>330</td>\n",
+       "      <td>115</td>\n",
+       "      <td>5</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>9.34</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.90</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>380</th>\n",
+       "      <td>381</td>\n",
+       "      <td>324</td>\n",
+       "      <td>110</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>9.04</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>381</th>\n",
+       "      <td>382</td>\n",
+       "      <td>325</td>\n",
+       "      <td>107</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>9.11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.84</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>382</th>\n",
+       "      <td>383</td>\n",
+       "      <td>330</td>\n",
+       "      <td>116</td>\n",
+       "      <td>4</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>4.5</td>\n",
+       "      <td>9.45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.91</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>383</th>\n",
+       "      <td>384</td>\n",
+       "      <td>312</td>\n",
+       "      <td>103</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.5</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>8.78</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.67</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>384</th>\n",
+       "      <td>385</td>\n",
+       "      <td>333</td>\n",
+       "      <td>117</td>\n",
+       "      <td>4</td>\n",
+       "      <td>5.0</td>\n",
+       "      <td>4.0</td>\n",
+       "      <td>9.66</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.95</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>385 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     Serial No.  GRE Score  TOEFL Score  University Rating  SOP  LOR  CGPA  \\\n",
+       "0             1        337          118                  4  4.5  4.5  9.65   \n",
+       "1             2        316          104                  3  3.0  3.5  8.00   \n",
+       "2             3        322          110                  3  3.5  2.5  8.67   \n",
+       "3             4        314          103                  2  2.0  3.0  8.21   \n",
+       "4             5        330          115                  5  4.5  3.0  9.34   \n",
+       "..          ...        ...          ...                ...  ...  ...   ...   \n",
+       "380         381        324          110                  3  3.5  3.5  9.04   \n",
+       "381         382        325          107                  3  3.0  3.5  9.11   \n",
+       "382         383        330          116                  4  5.0  4.5  9.45   \n",
+       "383         384        312          103                  3  3.5  4.0  8.78   \n",
+       "384         385        333          117                  4  5.0  4.0  9.66   \n",
+       "\n",
+       "     Research  Chance of Admit  \n",
+       "0           1             0.92  \n",
+       "1           1             0.72  \n",
+       "2           1             0.80  \n",
+       "3           0             0.65  \n",
+       "4           1             0.90  \n",
+       "..        ...              ...  \n",
+       "380         1             0.82  \n",
+       "381         1             0.84  \n",
+       "382         1             0.91  \n",
+       "383         0             0.67  \n",
+       "384         1             0.95  \n",
+       "\n",
+       "[385 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 80,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 97,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "False"
+      ]
+     },
+     "execution_count": 97,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "len(admissions[\"GRE Score\"].unique()) == len(admissions[\"GRE Score\"]) #Sí hay repetidos"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 92,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "336"
+      ]
+     },
+     "execution_count": 92,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions[\"GRE Score\"].duplicated().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 94,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "217"
+      ]
+     },
+     "execution_count": 94,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions[\"CGPA\"].duplicated().sum()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 90,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 90,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions[[\"GRE Score\", \"CGPA\"]].duplicated().sum() # Sí son valores únicos"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -348,10 +1477,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 104,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "condition = admissions[\"CGPA\"] > 9"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -362,17 +1493,40 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 105,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0       True\n",
+      "1      False\n",
+      "2      False\n",
+      "3      False\n",
+      "4       True\n",
+      "       ...  \n",
+      "380     True\n",
+      "381     True\n",
+      "382     True\n",
+      "383    False\n",
+      "384     True\n",
+      "Name: CGPA, Length: 385, dtype: bool\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(condition)"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 106,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "condition2 = admissions[\"CGPA\"] < 3.5"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -384,10 +1538,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 108,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "def newcolum():\n",
+    "    admissions[Decision] = []\n",
+    "    if admissions[\"TOEFL\"] > 100:\n",
+    "        admissions[Decision] = \"False\"\n",
+    "        admissions.apply(Decision, axis=1)\n",
+    "    else:\n",
+    "        admissions[Decision] = \"True\"\n",
+    "        admissions.apply(Decision, axis=1)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -449,7 +1612,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.4"
   },
   "toc": {
    "base_numbering": "",