diff --git a/.ipynb_checkpoints/Lab-Sql-9-checkpoint.ipynb b/.ipynb_checkpoints/Lab-Sql-9-checkpoint.ipynb
new file mode 100644
index 0000000..989fcbd
--- /dev/null
+++ b/.ipynb_checkpoints/Lab-Sql-9-checkpoint.ipynb
@@ -0,0 +1,768 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "2509c211",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "········\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Importing libraries\n",
+    "import pymysql\n",
+    "from sqlalchemy import create_engine\n",
+    "import pandas as pd\n",
+    "import getpass # To get the password without showing the input\n",
+    "password = getpass.getpass()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "0e421dc4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create a Python connection with SQL database\n",
+    "connection_string = 'mysql+pymysql://root:' + password + '@localhost/bank'\n",
+    "engine = create_engine(connection_string)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "769411ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2005-05-24 22:53:30</td>\n",
+       "      <td>367</td>\n",
+       "      <td>130</td>\n",
+       "      <td>2005-05-26 22:04:30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2005-05-24 22:54:33</td>\n",
+       "      <td>1525</td>\n",
+       "      <td>459</td>\n",
+       "      <td>2005-05-28 19:40:33</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2005-05-24 23:03:39</td>\n",
+       "      <td>1711</td>\n",
+       "      <td>408</td>\n",
+       "      <td>2005-06-01 22:12:39</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2005-05-24 23:04:41</td>\n",
+       "      <td>2452</td>\n",
+       "      <td>333</td>\n",
+       "      <td>2005-06-03 01:43:41</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>2005-05-24 23:05:21</td>\n",
+       "      <td>2079</td>\n",
+       "      <td>222</td>\n",
+       "      <td>2005-06-02 04:33:21</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1151</th>\n",
+       "      <td>1153</td>\n",
+       "      <td>2005-05-31 21:36:44</td>\n",
+       "      <td>2725</td>\n",
+       "      <td>506</td>\n",
+       "      <td>2005-06-10 01:26:44</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1152</th>\n",
+       "      <td>1154</td>\n",
+       "      <td>2005-05-31 21:42:09</td>\n",
+       "      <td>2732</td>\n",
+       "      <td>59</td>\n",
+       "      <td>2005-06-08 16:40:09</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1153</th>\n",
+       "      <td>1155</td>\n",
+       "      <td>2005-05-31 22:17:11</td>\n",
+       "      <td>2048</td>\n",
+       "      <td>251</td>\n",
+       "      <td>2005-06-04 20:27:11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1154</th>\n",
+       "      <td>1156</td>\n",
+       "      <td>2005-05-31 22:37:34</td>\n",
+       "      <td>460</td>\n",
+       "      <td>106</td>\n",
+       "      <td>2005-06-01 23:02:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1155</th>\n",
+       "      <td>1157</td>\n",
+       "      <td>2005-05-31 22:47:45</td>\n",
+       "      <td>1449</td>\n",
+       "      <td>61</td>\n",
+       "      <td>2005-06-02 18:01:45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1156 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0             1 2005-05-24 22:53:30           367          130   \n",
+       "1             2 2005-05-24 22:54:33          1525          459   \n",
+       "2             3 2005-05-24 23:03:39          1711          408   \n",
+       "3             4 2005-05-24 23:04:41          2452          333   \n",
+       "4             5 2005-05-24 23:05:21          2079          222   \n",
+       "...         ...                 ...           ...          ...   \n",
+       "1151       1153 2005-05-31 21:36:44          2725          506   \n",
+       "1152       1154 2005-05-31 21:42:09          2732           59   \n",
+       "1153       1155 2005-05-31 22:17:11          2048          251   \n",
+       "1154       1156 2005-05-31 22:37:34           460          106   \n",
+       "1155       1157 2005-05-31 22:47:45          1449           61   \n",
+       "\n",
+       "             return_date  staff_id         last_update  \n",
+       "0    2005-05-26 22:04:30         1 2006-02-15 21:30:53  \n",
+       "1    2005-05-28 19:40:33         1 2006-02-15 21:30:53  \n",
+       "2    2005-06-01 22:12:39         1 2006-02-15 21:30:53  \n",
+       "3    2005-06-03 01:43:41         2 2006-02-15 21:30:53  \n",
+       "4    2005-06-02 04:33:21         1 2006-02-15 21:30:53  \n",
+       "...                  ...       ...                 ...  \n",
+       "1151 2005-06-10 01:26:44         2 2006-02-15 21:30:53  \n",
+       "1152 2005-06-08 16:40:09         1 2006-02-15 21:30:53  \n",
+       "1153 2005-06-04 20:27:11         2 2006-02-15 21:30:53  \n",
+       "1154 2005-06-01 23:02:34         2 2006-02-15 21:30:53  \n",
+       "1155 2005-06-02 18:01:45         1 2006-02-15 21:30:53  \n",
+       "\n",
+       "[1156 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Importing rentals_may table from SQL\n",
+    "rentals_may = pd.read_sql_query(\"SELECT * FROM SAKILA.RENTALS_MAY\", engine)\n",
+    "rentals_may"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "df241aa3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1158</td>\n",
+       "      <td>2005-06-14 22:53:33</td>\n",
+       "      <td>1632</td>\n",
+       "      <td>416</td>\n",
+       "      <td>2005-06-18 21:37:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1159</td>\n",
+       "      <td>2005-06-14 22:55:13</td>\n",
+       "      <td>4395</td>\n",
+       "      <td>516</td>\n",
+       "      <td>2005-06-17 02:11:13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1160</td>\n",
+       "      <td>2005-06-14 23:00:34</td>\n",
+       "      <td>2795</td>\n",
+       "      <td>239</td>\n",
+       "      <td>2005-06-18 01:58:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1161</td>\n",
+       "      <td>2005-06-14 23:07:08</td>\n",
+       "      <td>1690</td>\n",
+       "      <td>285</td>\n",
+       "      <td>2005-06-21 17:12:08</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1162</td>\n",
+       "      <td>2005-06-14 23:09:38</td>\n",
+       "      <td>987</td>\n",
+       "      <td>310</td>\n",
+       "      <td>2005-06-23 22:00:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2306</th>\n",
+       "      <td>3465</td>\n",
+       "      <td>2005-06-21 22:10:01</td>\n",
+       "      <td>1488</td>\n",
+       "      <td>510</td>\n",
+       "      <td>2005-06-30 21:35:01</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2307</th>\n",
+       "      <td>3466</td>\n",
+       "      <td>2005-06-21 22:13:33</td>\n",
+       "      <td>371</td>\n",
+       "      <td>226</td>\n",
+       "      <td>2005-06-25 21:01:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2308</th>\n",
+       "      <td>3467</td>\n",
+       "      <td>2005-06-21 22:19:25</td>\n",
+       "      <td>729</td>\n",
+       "      <td>543</td>\n",
+       "      <td>2005-06-27 00:03:25</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2309</th>\n",
+       "      <td>3468</td>\n",
+       "      <td>2005-06-21 22:43:45</td>\n",
+       "      <td>2899</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2005-06-30 01:49:45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2310</th>\n",
+       "      <td>3469</td>\n",
+       "      <td>2005-06-21 22:48:59</td>\n",
+       "      <td>4087</td>\n",
+       "      <td>181</td>\n",
+       "      <td>2005-06-28 19:32:59</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2311 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0          1158 2005-06-14 22:53:33          1632          416   \n",
+       "1          1159 2005-06-14 22:55:13          4395          516   \n",
+       "2          1160 2005-06-14 23:00:34          2795          239   \n",
+       "3          1161 2005-06-14 23:07:08          1690          285   \n",
+       "4          1162 2005-06-14 23:09:38           987          310   \n",
+       "...         ...                 ...           ...          ...   \n",
+       "2306       3465 2005-06-21 22:10:01          1488          510   \n",
+       "2307       3466 2005-06-21 22:13:33           371          226   \n",
+       "2308       3467 2005-06-21 22:19:25           729          543   \n",
+       "2309       3468 2005-06-21 22:43:45          2899          100   \n",
+       "2310       3469 2005-06-21 22:48:59          4087          181   \n",
+       "\n",
+       "             return_date  staff_id         last_update  \n",
+       "0    2005-06-18 21:37:33         2 2006-02-15 21:30:53  \n",
+       "1    2005-06-17 02:11:13         1 2006-02-15 21:30:53  \n",
+       "2    2005-06-18 01:58:34         2 2006-02-15 21:30:53  \n",
+       "3    2005-06-21 17:12:08         1 2006-02-15 21:30:53  \n",
+       "4    2005-06-23 22:00:38         1 2006-02-15 21:30:53  \n",
+       "...                  ...       ...                 ...  \n",
+       "2306 2005-06-30 21:35:01         1 2006-02-15 21:30:53  \n",
+       "2307 2005-06-25 21:01:33         2 2006-02-15 21:30:53  \n",
+       "2308 2005-06-27 00:03:25         2 2006-02-15 21:30:53  \n",
+       "2309 2005-06-30 01:49:45         1 2006-02-15 21:30:53  \n",
+       "2310 2005-06-28 19:32:59         1 2006-02-15 21:30:53  \n",
+       "\n",
+       "[2311 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Importing rentals_june table from SQL\n",
+    "rentals_june = pd.read_sql_query(\"SELECT * FROM SAKILA.RENTALS_JUNE\", engine)\n",
+    "rentals_june"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "3e0acf5c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>number_of_rentals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>130</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>459</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>408</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>333</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>222</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>515</th>\n",
+       "      <td>191</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>516</th>\n",
+       "      <td>351</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>517</th>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>518</th>\n",
+       "      <td>136</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>519</th>\n",
+       "      <td>61</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>520 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer_id  number_of_rentals\n",
+       "0            130                  2\n",
+       "1            459                  1\n",
+       "2            408                  3\n",
+       "3            333                  1\n",
+       "4            222                  5\n",
+       "..           ...                ...\n",
+       "515          191                  2\n",
+       "516          351                  1\n",
+       "517           10                  1\n",
+       "518          136                  1\n",
+       "519           61                  1\n",
+       "\n",
+       "[520 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Checking the number of rentals for each customer for May\n",
+    "query_may = \"select customer_id, count(*) as number_of_rentals \\\n",
+    "from sakila.rentals_may \\\n",
+    "group by customer_id\"\n",
+    "\n",
+    "number_of_rentals_may = pd.read_sql_query(query_may, engine)\n",
+    "number_of_rentals_may"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "60dd7178",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>number_of_rentals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>416</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>516</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>239</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>285</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>310</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>585</th>\n",
+       "      <td>412</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>586</th>\n",
+       "      <td>335</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>587</th>\n",
+       "      <td>226</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>588</th>\n",
+       "      <td>22</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>589</th>\n",
+       "      <td>126</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>590 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer_id  number_of_rentals\n",
+       "0            416                  5\n",
+       "1            516                  6\n",
+       "2            239                  5\n",
+       "3            285                  3\n",
+       "4            310                  6\n",
+       "..           ...                ...\n",
+       "585          412                  1\n",
+       "586          335                  1\n",
+       "587          226                  2\n",
+       "588           22                  1\n",
+       "589          126                  1\n",
+       "\n",
+       "[590 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Checking the number of rentals for each customer for June\n",
+    "query_june = \"select customer_id, count(*) as number_of_rentals \\\n",
+    "from sakila.rentals_june \\\n",
+    "group by customer_id\"\n",
+    "\n",
+    "number_of_rentals_june = pd.read_sql_query(query_june, engine)\n",
+    "number_of_rentals_june"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "475f2018",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Writing a function that checks if customer borrowed more or less films in the month of June as compared to May\n",
+    "def check_customer(customer_id):\n",
+    "    if number_of_rentals_june[number_of_rentals_june[\"customer_id\"] == customer_id].iloc[0,1] > number_of_rentals_may[number_of_rentals_may[\"customer_id\"] == customer_id].iloc[0,1]:\n",
+    "        print(\"Customer borrowed more films in June than May\")\n",
+    "    elif number_of_rentals_june[number_of_rentals_june[\"customer_id\"] == customer_id].iloc[0,1] < number_of_rentals_may[number_of_rentals_may[\"customer_id\"] == customer_id].iloc[0,1]:\n",
+    "        print(\"Customer borrowed more films in May than June\")\n",
+    "    else:\n",
+    "        print(\"Customer borrowed the same amount of films in May and June\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "c27ef760",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer borrowed more films in June than May\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Applying the function to the customer_id == 100\n",
+    "check_customer(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "59221aff",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer borrowed more films in May than June\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Applying the function to the customer_id == 150\n",
+    "check_customer(150)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "2ce8e568",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer borrowed the same amount of films in May and June\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Applying the function to the customer_id == 70\n",
+    "check_customer(70)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Lab-Sql-9.ipynb b/Lab-Sql-9.ipynb
new file mode 100644
index 0000000..989fcbd
--- /dev/null
+++ b/Lab-Sql-9.ipynb
@@ -0,0 +1,768 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "2509c211",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "········\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Importing libraries\n",
+    "import pymysql\n",
+    "from sqlalchemy import create_engine\n",
+    "import pandas as pd\n",
+    "import getpass # To get the password without showing the input\n",
+    "password = getpass.getpass()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "0e421dc4",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Create a Python connection with SQL database\n",
+    "connection_string = 'mysql+pymysql://root:' + password + '@localhost/bank'\n",
+    "engine = create_engine(connection_string)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "769411ec",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1</td>\n",
+       "      <td>2005-05-24 22:53:30</td>\n",
+       "      <td>367</td>\n",
+       "      <td>130</td>\n",
+       "      <td>2005-05-26 22:04:30</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>2</td>\n",
+       "      <td>2005-05-24 22:54:33</td>\n",
+       "      <td>1525</td>\n",
+       "      <td>459</td>\n",
+       "      <td>2005-05-28 19:40:33</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>3</td>\n",
+       "      <td>2005-05-24 23:03:39</td>\n",
+       "      <td>1711</td>\n",
+       "      <td>408</td>\n",
+       "      <td>2005-06-01 22:12:39</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>4</td>\n",
+       "      <td>2005-05-24 23:04:41</td>\n",
+       "      <td>2452</td>\n",
+       "      <td>333</td>\n",
+       "      <td>2005-06-03 01:43:41</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>5</td>\n",
+       "      <td>2005-05-24 23:05:21</td>\n",
+       "      <td>2079</td>\n",
+       "      <td>222</td>\n",
+       "      <td>2005-06-02 04:33:21</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1151</th>\n",
+       "      <td>1153</td>\n",
+       "      <td>2005-05-31 21:36:44</td>\n",
+       "      <td>2725</td>\n",
+       "      <td>506</td>\n",
+       "      <td>2005-06-10 01:26:44</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1152</th>\n",
+       "      <td>1154</td>\n",
+       "      <td>2005-05-31 21:42:09</td>\n",
+       "      <td>2732</td>\n",
+       "      <td>59</td>\n",
+       "      <td>2005-06-08 16:40:09</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1153</th>\n",
+       "      <td>1155</td>\n",
+       "      <td>2005-05-31 22:17:11</td>\n",
+       "      <td>2048</td>\n",
+       "      <td>251</td>\n",
+       "      <td>2005-06-04 20:27:11</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1154</th>\n",
+       "      <td>1156</td>\n",
+       "      <td>2005-05-31 22:37:34</td>\n",
+       "      <td>460</td>\n",
+       "      <td>106</td>\n",
+       "      <td>2005-06-01 23:02:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1155</th>\n",
+       "      <td>1157</td>\n",
+       "      <td>2005-05-31 22:47:45</td>\n",
+       "      <td>1449</td>\n",
+       "      <td>61</td>\n",
+       "      <td>2005-06-02 18:01:45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>1156 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0             1 2005-05-24 22:53:30           367          130   \n",
+       "1             2 2005-05-24 22:54:33          1525          459   \n",
+       "2             3 2005-05-24 23:03:39          1711          408   \n",
+       "3             4 2005-05-24 23:04:41          2452          333   \n",
+       "4             5 2005-05-24 23:05:21          2079          222   \n",
+       "...         ...                 ...           ...          ...   \n",
+       "1151       1153 2005-05-31 21:36:44          2725          506   \n",
+       "1152       1154 2005-05-31 21:42:09          2732           59   \n",
+       "1153       1155 2005-05-31 22:17:11          2048          251   \n",
+       "1154       1156 2005-05-31 22:37:34           460          106   \n",
+       "1155       1157 2005-05-31 22:47:45          1449           61   \n",
+       "\n",
+       "             return_date  staff_id         last_update  \n",
+       "0    2005-05-26 22:04:30         1 2006-02-15 21:30:53  \n",
+       "1    2005-05-28 19:40:33         1 2006-02-15 21:30:53  \n",
+       "2    2005-06-01 22:12:39         1 2006-02-15 21:30:53  \n",
+       "3    2005-06-03 01:43:41         2 2006-02-15 21:30:53  \n",
+       "4    2005-06-02 04:33:21         1 2006-02-15 21:30:53  \n",
+       "...                  ...       ...                 ...  \n",
+       "1151 2005-06-10 01:26:44         2 2006-02-15 21:30:53  \n",
+       "1152 2005-06-08 16:40:09         1 2006-02-15 21:30:53  \n",
+       "1153 2005-06-04 20:27:11         2 2006-02-15 21:30:53  \n",
+       "1154 2005-06-01 23:02:34         2 2006-02-15 21:30:53  \n",
+       "1155 2005-06-02 18:01:45         1 2006-02-15 21:30:53  \n",
+       "\n",
+       "[1156 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Importing rentals_may table from SQL\n",
+    "rentals_may = pd.read_sql_query(\"SELECT * FROM SAKILA.RENTALS_MAY\", engine)\n",
+    "rentals_may"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "id": "df241aa3",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>rental_id</th>\n",
+       "      <th>rental_date</th>\n",
+       "      <th>inventory_id</th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>return_date</th>\n",
+       "      <th>staff_id</th>\n",
+       "      <th>last_update</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>1158</td>\n",
+       "      <td>2005-06-14 22:53:33</td>\n",
+       "      <td>1632</td>\n",
+       "      <td>416</td>\n",
+       "      <td>2005-06-18 21:37:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1159</td>\n",
+       "      <td>2005-06-14 22:55:13</td>\n",
+       "      <td>4395</td>\n",
+       "      <td>516</td>\n",
+       "      <td>2005-06-17 02:11:13</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1160</td>\n",
+       "      <td>2005-06-14 23:00:34</td>\n",
+       "      <td>2795</td>\n",
+       "      <td>239</td>\n",
+       "      <td>2005-06-18 01:58:34</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1161</td>\n",
+       "      <td>2005-06-14 23:07:08</td>\n",
+       "      <td>1690</td>\n",
+       "      <td>285</td>\n",
+       "      <td>2005-06-21 17:12:08</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>1162</td>\n",
+       "      <td>2005-06-14 23:09:38</td>\n",
+       "      <td>987</td>\n",
+       "      <td>310</td>\n",
+       "      <td>2005-06-23 22:00:38</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</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",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2306</th>\n",
+       "      <td>3465</td>\n",
+       "      <td>2005-06-21 22:10:01</td>\n",
+       "      <td>1488</td>\n",
+       "      <td>510</td>\n",
+       "      <td>2005-06-30 21:35:01</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2307</th>\n",
+       "      <td>3466</td>\n",
+       "      <td>2005-06-21 22:13:33</td>\n",
+       "      <td>371</td>\n",
+       "      <td>226</td>\n",
+       "      <td>2005-06-25 21:01:33</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2308</th>\n",
+       "      <td>3467</td>\n",
+       "      <td>2005-06-21 22:19:25</td>\n",
+       "      <td>729</td>\n",
+       "      <td>543</td>\n",
+       "      <td>2005-06-27 00:03:25</td>\n",
+       "      <td>2</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2309</th>\n",
+       "      <td>3468</td>\n",
+       "      <td>2005-06-21 22:43:45</td>\n",
+       "      <td>2899</td>\n",
+       "      <td>100</td>\n",
+       "      <td>2005-06-30 01:49:45</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2310</th>\n",
+       "      <td>3469</td>\n",
+       "      <td>2005-06-21 22:48:59</td>\n",
+       "      <td>4087</td>\n",
+       "      <td>181</td>\n",
+       "      <td>2005-06-28 19:32:59</td>\n",
+       "      <td>1</td>\n",
+       "      <td>2006-02-15 21:30:53</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>2311 rows × 7 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "      rental_id         rental_date  inventory_id  customer_id  \\\n",
+       "0          1158 2005-06-14 22:53:33          1632          416   \n",
+       "1          1159 2005-06-14 22:55:13          4395          516   \n",
+       "2          1160 2005-06-14 23:00:34          2795          239   \n",
+       "3          1161 2005-06-14 23:07:08          1690          285   \n",
+       "4          1162 2005-06-14 23:09:38           987          310   \n",
+       "...         ...                 ...           ...          ...   \n",
+       "2306       3465 2005-06-21 22:10:01          1488          510   \n",
+       "2307       3466 2005-06-21 22:13:33           371          226   \n",
+       "2308       3467 2005-06-21 22:19:25           729          543   \n",
+       "2309       3468 2005-06-21 22:43:45          2899          100   \n",
+       "2310       3469 2005-06-21 22:48:59          4087          181   \n",
+       "\n",
+       "             return_date  staff_id         last_update  \n",
+       "0    2005-06-18 21:37:33         2 2006-02-15 21:30:53  \n",
+       "1    2005-06-17 02:11:13         1 2006-02-15 21:30:53  \n",
+       "2    2005-06-18 01:58:34         2 2006-02-15 21:30:53  \n",
+       "3    2005-06-21 17:12:08         1 2006-02-15 21:30:53  \n",
+       "4    2005-06-23 22:00:38         1 2006-02-15 21:30:53  \n",
+       "...                  ...       ...                 ...  \n",
+       "2306 2005-06-30 21:35:01         1 2006-02-15 21:30:53  \n",
+       "2307 2005-06-25 21:01:33         2 2006-02-15 21:30:53  \n",
+       "2308 2005-06-27 00:03:25         2 2006-02-15 21:30:53  \n",
+       "2309 2005-06-30 01:49:45         1 2006-02-15 21:30:53  \n",
+       "2310 2005-06-28 19:32:59         1 2006-02-15 21:30:53  \n",
+       "\n",
+       "[2311 rows x 7 columns]"
+      ]
+     },
+     "execution_count": 13,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Importing rentals_june table from SQL\n",
+    "rentals_june = pd.read_sql_query(\"SELECT * FROM SAKILA.RENTALS_JUNE\", engine)\n",
+    "rentals_june"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 14,
+   "id": "3e0acf5c",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>number_of_rentals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>130</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>459</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>408</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>333</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>222</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>515</th>\n",
+       "      <td>191</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>516</th>\n",
+       "      <td>351</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>517</th>\n",
+       "      <td>10</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>518</th>\n",
+       "      <td>136</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>519</th>\n",
+       "      <td>61</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>520 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer_id  number_of_rentals\n",
+       "0            130                  2\n",
+       "1            459                  1\n",
+       "2            408                  3\n",
+       "3            333                  1\n",
+       "4            222                  5\n",
+       "..           ...                ...\n",
+       "515          191                  2\n",
+       "516          351                  1\n",
+       "517           10                  1\n",
+       "518          136                  1\n",
+       "519           61                  1\n",
+       "\n",
+       "[520 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 14,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Checking the number of rentals for each customer for May\n",
+    "query_may = \"select customer_id, count(*) as number_of_rentals \\\n",
+    "from sakila.rentals_may \\\n",
+    "group by customer_id\"\n",
+    "\n",
+    "number_of_rentals_may = pd.read_sql_query(query_may, engine)\n",
+    "number_of_rentals_may"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 15,
+   "id": "60dd7178",
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>customer_id</th>\n",
+       "      <th>number_of_rentals</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>416</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>516</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>239</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>285</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>310</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>585</th>\n",
+       "      <td>412</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>586</th>\n",
+       "      <td>335</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>587</th>\n",
+       "      <td>226</td>\n",
+       "      <td>2</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>588</th>\n",
+       "      <td>22</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>589</th>\n",
+       "      <td>126</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>590 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "     customer_id  number_of_rentals\n",
+       "0            416                  5\n",
+       "1            516                  6\n",
+       "2            239                  5\n",
+       "3            285                  3\n",
+       "4            310                  6\n",
+       "..           ...                ...\n",
+       "585          412                  1\n",
+       "586          335                  1\n",
+       "587          226                  2\n",
+       "588           22                  1\n",
+       "589          126                  1\n",
+       "\n",
+       "[590 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 15,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Checking the number of rentals for each customer for June\n",
+    "query_june = \"select customer_id, count(*) as number_of_rentals \\\n",
+    "from sakila.rentals_june \\\n",
+    "group by customer_id\"\n",
+    "\n",
+    "number_of_rentals_june = pd.read_sql_query(query_june, engine)\n",
+    "number_of_rentals_june"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 46,
+   "id": "475f2018",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# Writing a function that checks if customer borrowed more or less films in the month of June as compared to May\n",
+    "def check_customer(customer_id):\n",
+    "    if number_of_rentals_june[number_of_rentals_june[\"customer_id\"] == customer_id].iloc[0,1] > number_of_rentals_may[number_of_rentals_may[\"customer_id\"] == customer_id].iloc[0,1]:\n",
+    "        print(\"Customer borrowed more films in June than May\")\n",
+    "    elif number_of_rentals_june[number_of_rentals_june[\"customer_id\"] == customer_id].iloc[0,1] < number_of_rentals_may[number_of_rentals_may[\"customer_id\"] == customer_id].iloc[0,1]:\n",
+    "        print(\"Customer borrowed more films in May than June\")\n",
+    "    else:\n",
+    "        print(\"Customer borrowed the same amount of films in May and June\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 50,
+   "id": "c27ef760",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer borrowed more films in June than May\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Applying the function to the customer_id == 100\n",
+    "check_customer(100)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 51,
+   "id": "59221aff",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer borrowed more films in May than June\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Applying the function to the customer_id == 150\n",
+    "check_customer(150)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 52,
+   "id": "2ce8e568",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Customer borrowed the same amount of films in May and June\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Applying the function to the customer_id == 70\n",
+    "check_customer(70)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/Lab-Sql-9.sql b/Lab-Sql-9.sql
new file mode 100644
index 0000000..8f71316
--- /dev/null
+++ b/Lab-Sql-9.sql
@@ -0,0 +1,23 @@
+-- 1) Creating a table rentals_may to store the data from rental table with information for the month of May
+-- 2) Inserting values in the table rentals_may using the table rental, filtering values only for the month of May
+create table sakila.rentals_may as 
+select *
+from sakila.rental
+where date_format(rental_date, "%M") = "May";
+
+-- 3) Creating a table rentals_june to store the data from rental table with information for the month of June
+-- 4) Inserting values in the table rentals_june using the table rental, filtering values only for the month of June
+create table sakila.rentals_june as 
+select *
+from sakila.rental
+where date_format(rental_date, "%M") = "June";
+
+-- 5) Checking the number of rentals for each customer for May
+select customer_id, count(*) as number_of_rentals
+from sakila.rentals_may
+group by customer_id;
+
+-- 6) Checking the number of rentals for each customer for June
+select customer_id, count(*) as number_of_rentals
+from sakila.rentals_june
+group by customer_id;
\ No newline at end of file