diff --git a/your-code/pandas_1.ipynb b/your-code/pandas_1.ipynb
index 4f428ac..1a1074b 100644
--- a/your-code/pandas_1.ipynb
+++ b/your-code/pandas_1.ipynb
@@ -44,10 +44,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 3,
    "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": [
+    "series_ = pd.Series(lst)\n",
+    "print(series_)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -60,10 +81,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "74.4"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "series_[2]"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -74,7 +108,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -92,10 +126,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "      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\n"
+     ]
+    }
+   ],
+   "source": [
+    "df_em = pd.DataFrame(b)\n",
+    "print(df_em)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -106,7 +161,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -124,7 +179,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -133,10 +188,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "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": [
+    "df_em.columns = colnames\n",
+    "print(df_em)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -147,10 +223,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "   Score_1  Score_3  Score_5\n",
+      "0     53.1     67.5     78.4\n",
+      "1     61.3     30.8     87.6\n",
+      "2     20.6     44.2     91.8\n",
+      "3     57.4     96.1     69.5\n",
+      "4     83.6     85.4     35.9\n",
+      "5     49.0      0.1     89.1\n",
+      "6     23.3     95.0     26.9\n",
+      "7     27.6     53.8     68.5\n",
+      "8     96.6     53.4     50.1\n",
+      "9     73.7     43.2     34.7\n"
+     ]
+    }
+   ],
+   "source": [
+    "sb_1 = df_em[[\"Score_1\", \"Score_3\", \"Score_5\"]]\n",
+    "print(sb_1)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -161,10 +258,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "56.95000000000001\n"
+     ]
+    }
+   ],
+   "source": [
+    "mean_ = df_em[\"Score_3\"].mean()\n",
+    "print(mean_)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -175,10 +283,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 12,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "88.8\n"
+     ]
+    }
+   ],
+   "source": [
+    "max_ = df_em[\"Score_4\"].max()\n",
+    "print(max_)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -189,10 +308,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 13,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "40.75\n"
+     ]
+    }
+   ],
+   "source": [
+    "median_ = df_em[\"Score_2\"].median()\n",
+    "print(median_)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -203,7 +333,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -224,10 +354,31 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "                          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\n"
+     ]
+    }
+   ],
+   "source": [
+    "orders_df = pd.DataFrame(orders)\n",
+    "print(orders_df)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -238,10 +389,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 16,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Quantity    2978.0\n",
+      "Revenue      637.0\n",
+      "dtype: float64\n"
+     ]
+    }
+   ],
+   "source": [
+    "sum = orders_df[[\"Quantity\", \"Revenue\"]].sum()\n",
+    "print(sum)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -252,10 +416,57 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "11.95\n"
+     ]
+    }
+   ],
+   "source": [
+    "max_up = orders_df[\"UnitPrice\"].max() \n",
+    "print(max_up)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 18,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.18\n"
+     ]
+    }
+   ],
+   "source": [
+    "min_up= orders_df[\"UnitPrice\"].min()\n",
+    "print(min_up)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "11.77\n"
+     ]
+    }
+   ],
+   "source": [
+    "subs = max_up - min_up\n",
+    "print(subs)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -266,7 +477,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -285,10 +496,130 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 21,
    "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",
+       "  </tbody>\n",
+       "</table>\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",
+       "   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  "
+      ]
+     },
+     "execution_count": 21,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions.head()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -299,10 +630,32 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 22,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Serial No.           0\n",
+       "GRE Score            0\n",
+       "TOEFL Score          0\n",
+       "University Rating    0\n",
+       "SOP                  0\n",
+       "LOR                  0\n",
+       "CGPA                 0\n",
+       "Research             0\n",
+       "Chance of Admit      0\n",
+       "dtype: int64"
+      ]
+     },
+     "execution_count": 22,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions.isna().sum()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -313,17 +666,227 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "admissions.set_index(\"Serial No.\", inplace=True)"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 24,
    "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>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",
+       "    <tr>\n",
+       "      <th>Serial No.</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>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>2</th>\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>3</th>\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>4</th>\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>5</th>\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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>381</th>\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>382</th>\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>383</th>\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>384</th>\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>385</th>\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 × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            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]"
+      ]
+     },
+     "execution_count": 24,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -334,10 +897,55 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 25,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "Serial No.\n",
+       "1      False\n",
+       "2      False\n",
+       "3      False\n",
+       "4      False\n",
+       "5      False\n",
+       "       ...  \n",
+       "381    False\n",
+       "382    False\n",
+       "383    False\n",
+       "384    False\n",
+       "385    False\n",
+       "Length: 385, dtype: bool"
+      ]
+     },
+     "execution_count": 25,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions.duplicated([\"GRE Score\", \"CGPA\"])"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "0"
+      ]
+     },
+     "execution_count": 26,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions.duplicated([\"GRE Score\", \"CGPA\"]).sum()"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -348,10 +956,218 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 27,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
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+       "      <td>4</td>\n",
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+       "      <td>4.0</td>\n",
+       "      <td>9.23</td>\n",
+       "      <td>1</td>\n",
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+       "  </tbody>\n",
+       "</table>\n",
+       "<p>101 rows × 8 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            GRE Score  TOEFL Score  University Rating  SOP  LOR  CGPA  \\\n",
+       "Serial No.                                                              \n",
+       "1                 337          118                  4  4.5  4.5  9.65   \n",
+       "5                 330          115                  5  4.5  3.0  9.34   \n",
+       "11                328          112                  4  4.0  4.5  9.10   \n",
+       "20                328          116                  5  5.0  5.0  9.50   \n",
+       "21                334          119                  5  5.0  4.5  9.70   \n",
+       "...               ...          ...                ...  ...  ...   ...   \n",
+       "380               329          111                  4  4.5  4.0  9.23   \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",
+       "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",
+       "5                  1             0.90  \n",
+       "11                 1             0.78  \n",
+       "20                 1             0.94  \n",
+       "21                 1             0.95  \n",
+       "...              ...              ...  \n",
+       "380                1             0.89  \n",
+       "381                1             0.82  \n",
+       "382                1             0.84  \n",
+       "383                1             0.91  \n",
+       "385                1             0.95  \n",
+       "\n",
+       "[101 rows x 8 columns]"
+      ]
+     },
+     "execution_count": 27,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions[(admissions[\"CGPA\"] > 9) & (admissions[\"Research\"] != 0)]"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -362,17 +1178,290 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 28,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
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+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></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",
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+       "      <th>Chance of Admit</th>\n",
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+       "      <th>Serial No.</th>\n",
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+       "      <td>3.0</td>\n",
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+       "      <td>1</td>\n",
+       "      <td>0.82</td>\n",
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+       "      <td>0.84</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            GRE Score  TOEFL Score  University Rating  SOP  LOR  CGPA  \\\n",
+       "Serial No.                                                              \n",
+       "29                338          118                  4  3.0  4.5  9.40   \n",
+       "63                327          114                  3  3.0  3.0  9.02   \n",
+       "141               326          114                  3  3.0  3.0  9.11   \n",
+       "218               324          111                  4  3.0  3.0  9.01   \n",
+       "382               325          107                  3  3.0  3.5  9.11   \n",
+       "\n",
+       "            Research  Chance of Admit  \n",
+       "Serial No.                             \n",
+       "29                 1             0.91  \n",
+       "63                 0             0.61  \n",
+       "141                1             0.83  \n",
+       "218                1             0.82  \n",
+       "382                1             0.84  "
+      ]
+     },
+     "execution_count": 28,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions[(admissions[\"CGPA\"] > 9) & (admissions[\"SOP\"] < 3.5)]"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 29,
    "metadata": {},
-   "outputs": [],
-   "source": []
+   "outputs": [
+    {
+     "data": {
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+       "      <td>3</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>9.02</td>\n",
+       "      <td>0</td>\n",
+       "      <td>0.61</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>141</th>\n",
+       "      <td>326</td>\n",
+       "      <td>114</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>9.11</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.83</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>218</th>\n",
+       "      <td>324</td>\n",
+       "      <td>111</td>\n",
+       "      <td>4</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>9.01</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.82</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>382</th>\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",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            GRE Score  TOEFL Score  University Rating  SOP  LOR  CGPA  \\\n",
+       "Serial No.                                                              \n",
+       "29                338          118                  4  3.0  4.5  9.40   \n",
+       "63                327          114                  3  3.0  3.0  9.02   \n",
+       "141               326          114                  3  3.0  3.0  9.11   \n",
+       "218               324          111                  4  3.0  3.0  9.01   \n",
+       "382               325          107                  3  3.0  3.5  9.11   \n",
+       "\n",
+       "            Research  Chance of Admit  \n",
+       "Serial No.                             \n",
+       "29                 1             0.91  \n",
+       "63                 0             0.61  \n",
+       "141                1             0.83  \n",
+       "218                1             0.82  \n",
+       "382                1             0.84  "
+      ]
+     },
+     "execution_count": 29,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "a = admissions[(admissions[\"CGPA\"] > 9) & (admissions[\"SOP\"] < 3.5)]\n",
+    "a"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 30,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "0.8019999999999999\n"
+     ]
+    }
+   ],
+   "source": [
+    "mean_4 = a[\"Chance of Admit\"].mean()\n",
+    "print(mean_4)"
+   ]
   },
   {
    "cell_type": "markdown",
@@ -382,6 +1471,19 @@
     "To do this, we first create a function that receives an argument. The function will return True if the parameter entered is greater than 100, otherwise it will return False."
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 32,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def score (x):\n",
+    "    if x > 100:\n",
+    "        return True\n",
+    "    else:\n",
+    "        return False"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -398,17 +1500,240 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [],
-   "source": []
+   "source": [
+    "admissions[\"Decision\"] = admissions[\"TOEFL Score\"].apply(score)"
+   ]
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 34,
    "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>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",
+       "      <th>Decision</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Serial No.</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>337</td>\n",
+       "      <td>118</td>\n",
+       "      <td>4</td>\n",
+       "      <td>4.5</td>\n",
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+       "      <td>1</td>\n",
+       "      <td>0.92</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>316</td>\n",
+       "      <td>104</td>\n",
+       "      <td>3</td>\n",
+       "      <td>3.0</td>\n",
+       "      <td>3.5</td>\n",
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+       "      <td>0.72</td>\n",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\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",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\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",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\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",
+       "      <td>True</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>381</th>\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",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>382</th>\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",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>383</th>\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",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>384</th>\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",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>385</th>\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",
+       "      <td>True</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>385 rows × 9 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            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  Decision  \n",
+       "Serial No.                                       \n",
+       "1                  1             0.92      True  \n",
+       "2                  1             0.72      True  \n",
+       "3                  1             0.80      True  \n",
+       "4                  0             0.65      True  \n",
+       "5                  1             0.90      True  \n",
+       "...              ...              ...       ...  \n",
+       "381                1             0.82      True  \n",
+       "382                1             0.84      True  \n",
+       "383                1             0.91      True  \n",
+       "384                0             0.67      True  \n",
+       "385                1             0.95      True  \n",
+       "\n",
+       "[385 rows x 9 columns]"
+      ]
+     },
+     "execution_count": 34,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "admissions"
+   ]
   },
   {
    "cell_type": "code",
@@ -425,6 +1750,249 @@
     "HINT (use np.where)"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 38,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
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+       "\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>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",
+       "      <th>Decision</th>\n",
+       "      <th>decision2</th>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>Serial No.</th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
+       "      <th></th>\n",
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+       "  </thead>\n",
+       "  <tbody>\n",
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+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>322</td>\n",
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+       "      <td>0.80</td>\n",
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+       "      <td>1</td>\n",
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+       "    <tr>\n",
+       "      <th>4</th>\n",
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+       "    <tr>\n",
+       "      <th>5</th>\n",
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+       "      <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",
+       "      <td>True</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
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+       "    <tr>\n",
+       "      <th>381</th>\n",
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+       "      <td>110</td>\n",
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+       "      <td>3.5</td>\n",
+       "      <td>9.04</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.82</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>382</th>\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",
+       "      <td>True</td>\n",
+       "      <td>0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>383</th>\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",
+       "      <td>True</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>384</th>\n",
+       "      <td>312</td>\n",
+       "      <td>103</td>\n",
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+       "      <td>3.5</td>\n",
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+       "      <td>0</td>\n",
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+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>385</th>\n",
+       "      <td>333</td>\n",
+       "      <td>117</td>\n",
+       "      <td>4</td>\n",
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+       "      <td>4.0</td>\n",
+       "      <td>9.66</td>\n",
+       "      <td>1</td>\n",
+       "      <td>0.95</td>\n",
+       "      <td>True</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>385 rows × 10 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "            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  Decision  decision2  \n",
+       "Serial No.                                                  \n",
+       "1                  1             0.92      True          1  \n",
+       "2                  1             0.72      True          0  \n",
+       "3                  1             0.80      True          1  \n",
+       "4                  0             0.65      True          0  \n",
+       "5                  1             0.90      True          1  \n",
+       "...              ...              ...       ...        ...  \n",
+       "381                1             0.82      True          1  \n",
+       "382                1             0.84      True          0  \n",
+       "383                1             0.91      True          1  \n",
+       "384                0             0.67      True          1  \n",
+       "385                1             0.95      True          1  \n",
+       "\n",
+       "[385 rows x 10 columns]"
+      ]
+     },
+     "execution_count": 38,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "condition_5 = admissions[\"SOP\"] > 3\n",
+    "admissions[\"decision2\"] = np.where(condition_5, 1,0)\n",
+    "admissions"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -449,7 +2017,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.11.5"
   },
   "toc": {
    "base_numbering": "",