From bb10748d0880b7443503c969294d0e547431377a Mon Sep 17 00:00:00 2001
From: TiagoQuaresmaSimoes <tiqsim@gmail.com>
Date: Fri, 24 Nov 2023 21:21:37 +0000
Subject: [PATCH] [lab-sql-9]Tiago

---
 .../[lab-sql-9]Tiago-checkpoint.ipynb         | 524 ++++++++++++++++++
 [lab-sql-9]Tiago.ipynb                        | 524 ++++++++++++++++++
 [lab-sql-9]Tiago.sql                          |  55 ++
 3 files changed, 1103 insertions(+)
 create mode 100644 .ipynb_checkpoints/[lab-sql-9]Tiago-checkpoint.ipynb
 create mode 100644 [lab-sql-9]Tiago.ipynb
 create mode 100644 [lab-sql-9]Tiago.sql

diff --git a/.ipynb_checkpoints/[lab-sql-9]Tiago-checkpoint.ipynb b/.ipynb_checkpoints/[lab-sql-9]Tiago-checkpoint.ipynb
new file mode 100644
index 0000000..47b472b
--- /dev/null
+++ b/.ipynb_checkpoints/[lab-sql-9]Tiago-checkpoint.ipynb
@@ -0,0 +1,524 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "db6bed8d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pymysql\n",
+    "from sqlalchemy import create_engine\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "be051a50",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "········\n"
+     ]
+    }
+   ],
+   "source": [
+    "import getpass \n",
+    "password = getpass.getpass()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "61b33f78",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "connection_string = 'mysql+pymysql://root:' + password + '@localhost/bank'\n",
+    "engine = create_engine(connection_string)\n",
+    "may = pd.read_sql_query(\"select concat(c.first_name, ' ', c.last_name) as name, count(r.rental_id) as qty \\\n",
+    "from sakila.rentals_may as r \\\n",
+    "left join sakila.customer as c \\\n",
+    "on  c.customer_id = r.customer_id \\\n",
+    "group by r.customer_id \\\n",
+    "order by 2 desc;\", engine)\n",
+    "june = pd.read_sql_query(\"select concat(c.first_name, ' ', c.last_name) as name, count(r.rental_id) as qty \\\n",
+    "from sakila.rentals_june as r \\\n",
+    "left join sakila.customer as c \\\n",
+    "on  c.customer_id = r.customer_id \\\n",
+    "group by r.customer_id \\\n",
+    "order by 2 desc;\", engine)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "c9b480aa",
+   "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>name</th>\n",
+       "      <th>qty</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SUE PETERS</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LESLIE SEWARD</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>EDNA WEST</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CASSANDRA WALTERS</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MINNIE ROMERO</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>515</th>\n",
+       "      <td>JOEL FRANCISCO</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>516</th>\n",
+       "      <td>JACK FOUST</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>517</th>\n",
+       "      <td>DOROTHY TAYLOR</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>518</th>\n",
+       "      <td>ANITA MORALES</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>519</th>\n",
+       "      <td>KATHERINE RIVERA</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>520 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  name  qty\n",
+       "0           SUE PETERS    8\n",
+       "1        LESLIE SEWARD    7\n",
+       "2            EDNA WEST    7\n",
+       "3    CASSANDRA WALTERS    6\n",
+       "4        MINNIE ROMERO    6\n",
+       "..                 ...  ...\n",
+       "515     JOEL FRANCISCO    1\n",
+       "516         JACK FOUST    1\n",
+       "517     DOROTHY TAYLOR    1\n",
+       "518      ANITA MORALES    1\n",
+       "519   KATHERINE RIVERA    1\n",
+       "\n",
+       "[520 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c089070f",
+   "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>name</th>\n",
+       "      <th>qty</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>BRENDA WRIGHT</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ALEX GRESHAM</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FRANK WAGGONER</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>DAISY BATES</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>IAN STILL</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>585</th>\n",
+       "      <td>FRANCIS SIKES</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>586</th>\n",
+       "      <td>ALLEN BUTTERFIELD</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>587</th>\n",
+       "      <td>GREGORY MAULDIN</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>588</th>\n",
+       "      <td>LAURA RODRIGUEZ</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>589</th>\n",
+       "      <td>ELLEN SIMPSON</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>590 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  name  qty\n",
+       "0        BRENDA WRIGHT   11\n",
+       "1         ALEX GRESHAM   10\n",
+       "2       FRANK WAGGONER    9\n",
+       "3          DAISY BATES    9\n",
+       "4            IAN STILL    9\n",
+       "..                 ...  ...\n",
+       "585      FRANCIS SIKES    1\n",
+       "586  ALLEN BUTTERFIELD    1\n",
+       "587    GREGORY MAULDIN    1\n",
+       "588    LAURA RODRIGUEZ    1\n",
+       "589      ELLEN SIMPSON    1\n",
+       "\n",
+       "[590 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "june"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "0376b5e5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_all= pd.merge(may, june, how='inner', on='name')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "e320119f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_all=df_all.rename(columns={\"qty_x\": \"may\", \"qty_y\": \"june\"})\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "ec229515",
+   "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>name</th>\n",
+       "      <th>may</th>\n",
+       "      <th>june</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SUE PETERS</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LESLIE SEWARD</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>EDNA WEST</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CASSANDRA WALTERS</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MINNIE ROMERO</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>507</th>\n",
+       "      <td>CLAUDIA FULLER</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>508</th>\n",
+       "      <td>JOEL FRANCISCO</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>509</th>\n",
+       "      <td>JACK FOUST</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>510</th>\n",
+       "      <td>DOROTHY TAYLOR</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>511</th>\n",
+       "      <td>ANITA MORALES</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>512 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  name  may  june\n",
+       "0           SUE PETERS    8     8\n",
+       "1        LESLIE SEWARD    7     5\n",
+       "2            EDNA WEST    7     5\n",
+       "3    CASSANDRA WALTERS    6     3\n",
+       "4        MINNIE ROMERO    6     5\n",
+       "..                 ...  ...   ...\n",
+       "507     CLAUDIA FULLER    1     8\n",
+       "508     JOEL FRANCISCO    1     7\n",
+       "509         JACK FOUST    1     3\n",
+       "510     DOROTHY TAYLOR    1     5\n",
+       "511      ANITA MORALES    1     1\n",
+       "\n",
+       "[512 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_all"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "b16c456e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "may= df_all[\"may\"].values.tolist()\n",
+    "june= df_all[\"june\"].values.tolist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "0c244302",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "May Count: 92\n",
+      "June Count: 358\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "may_count = 0\n",
+    "june_count = 0\n",
+    "    \n",
+    "for i in range(0, len(may)):\n",
+    "    if (may[i] > june[i]):\n",
+    "        may_count += 1\n",
+    "    elif (may[i] < june[i]):\n",
+    "        june_count += 1\n",
+    "    else: pass\n",
+    "\n",
+    "print(\"May Count:\", may_count)\n",
+    "print(\"June Count:\", june_count)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cea199f3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4106db87",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/[lab-sql-9]Tiago.ipynb b/[lab-sql-9]Tiago.ipynb
new file mode 100644
index 0000000..47b472b
--- /dev/null
+++ b/[lab-sql-9]Tiago.ipynb
@@ -0,0 +1,524 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "id": "db6bed8d",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import pymysql\n",
+    "from sqlalchemy import create_engine\n",
+    "import pandas as pd"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "id": "be051a50",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "········\n"
+     ]
+    }
+   ],
+   "source": [
+    "import getpass \n",
+    "password = getpass.getpass()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "id": "61b33f78",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "connection_string = 'mysql+pymysql://root:' + password + '@localhost/bank'\n",
+    "engine = create_engine(connection_string)\n",
+    "may = pd.read_sql_query(\"select concat(c.first_name, ' ', c.last_name) as name, count(r.rental_id) as qty \\\n",
+    "from sakila.rentals_may as r \\\n",
+    "left join sakila.customer as c \\\n",
+    "on  c.customer_id = r.customer_id \\\n",
+    "group by r.customer_id \\\n",
+    "order by 2 desc;\", engine)\n",
+    "june = pd.read_sql_query(\"select concat(c.first_name, ' ', c.last_name) as name, count(r.rental_id) as qty \\\n",
+    "from sakila.rentals_june as r \\\n",
+    "left join sakila.customer as c \\\n",
+    "on  c.customer_id = r.customer_id \\\n",
+    "group by r.customer_id \\\n",
+    "order by 2 desc;\", engine)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "id": "c9b480aa",
+   "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>name</th>\n",
+       "      <th>qty</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SUE PETERS</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LESLIE SEWARD</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>EDNA WEST</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CASSANDRA WALTERS</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MINNIE ROMERO</td>\n",
+       "      <td>6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>515</th>\n",
+       "      <td>JOEL FRANCISCO</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>516</th>\n",
+       "      <td>JACK FOUST</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>517</th>\n",
+       "      <td>DOROTHY TAYLOR</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>518</th>\n",
+       "      <td>ANITA MORALES</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>519</th>\n",
+       "      <td>KATHERINE RIVERA</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>520 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  name  qty\n",
+       "0           SUE PETERS    8\n",
+       "1        LESLIE SEWARD    7\n",
+       "2            EDNA WEST    7\n",
+       "3    CASSANDRA WALTERS    6\n",
+       "4        MINNIE ROMERO    6\n",
+       "..                 ...  ...\n",
+       "515     JOEL FRANCISCO    1\n",
+       "516         JACK FOUST    1\n",
+       "517     DOROTHY TAYLOR    1\n",
+       "518      ANITA MORALES    1\n",
+       "519   KATHERINE RIVERA    1\n",
+       "\n",
+       "[520 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 5,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "may"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "id": "c089070f",
+   "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>name</th>\n",
+       "      <th>qty</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>BRENDA WRIGHT</td>\n",
+       "      <td>11</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>ALEX GRESHAM</td>\n",
+       "      <td>10</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>FRANK WAGGONER</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>DAISY BATES</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>IAN STILL</td>\n",
+       "      <td>9</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>585</th>\n",
+       "      <td>FRANCIS SIKES</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>586</th>\n",
+       "      <td>ALLEN BUTTERFIELD</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>587</th>\n",
+       "      <td>GREGORY MAULDIN</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>588</th>\n",
+       "      <td>LAURA RODRIGUEZ</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>589</th>\n",
+       "      <td>ELLEN SIMPSON</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>590 rows × 2 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  name  qty\n",
+       "0        BRENDA WRIGHT   11\n",
+       "1         ALEX GRESHAM   10\n",
+       "2       FRANK WAGGONER    9\n",
+       "3          DAISY BATES    9\n",
+       "4            IAN STILL    9\n",
+       "..                 ...  ...\n",
+       "585      FRANCIS SIKES    1\n",
+       "586  ALLEN BUTTERFIELD    1\n",
+       "587    GREGORY MAULDIN    1\n",
+       "588    LAURA RODRIGUEZ    1\n",
+       "589      ELLEN SIMPSON    1\n",
+       "\n",
+       "[590 rows x 2 columns]"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "june"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "id": "0376b5e5",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_all= pd.merge(may, june, how='inner', on='name')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "id": "e320119f",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "df_all=df_all.rename(columns={\"qty_x\": \"may\", \"qty_y\": \"june\"})\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "id": "ec229515",
+   "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>name</th>\n",
+       "      <th>may</th>\n",
+       "      <th>june</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>SUE PETERS</td>\n",
+       "      <td>8</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LESLIE SEWARD</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>EDNA WEST</td>\n",
+       "      <td>7</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>CASSANDRA WALTERS</td>\n",
+       "      <td>6</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>MINNIE ROMERO</td>\n",
+       "      <td>6</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>507</th>\n",
+       "      <td>CLAUDIA FULLER</td>\n",
+       "      <td>1</td>\n",
+       "      <td>8</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>508</th>\n",
+       "      <td>JOEL FRANCISCO</td>\n",
+       "      <td>1</td>\n",
+       "      <td>7</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>509</th>\n",
+       "      <td>JACK FOUST</td>\n",
+       "      <td>1</td>\n",
+       "      <td>3</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>510</th>\n",
+       "      <td>DOROTHY TAYLOR</td>\n",
+       "      <td>1</td>\n",
+       "      <td>5</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>511</th>\n",
+       "      <td>ANITA MORALES</td>\n",
+       "      <td>1</td>\n",
+       "      <td>1</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>512 rows × 3 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                  name  may  june\n",
+       "0           SUE PETERS    8     8\n",
+       "1        LESLIE SEWARD    7     5\n",
+       "2            EDNA WEST    7     5\n",
+       "3    CASSANDRA WALTERS    6     3\n",
+       "4        MINNIE ROMERO    6     5\n",
+       "..                 ...  ...   ...\n",
+       "507     CLAUDIA FULLER    1     8\n",
+       "508     JOEL FRANCISCO    1     7\n",
+       "509         JACK FOUST    1     3\n",
+       "510     DOROTHY TAYLOR    1     5\n",
+       "511      ANITA MORALES    1     1\n",
+       "\n",
+       "[512 rows x 3 columns]"
+      ]
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "df_all"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "id": "b16c456e",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "may= df_all[\"may\"].values.tolist()\n",
+    "june= df_all[\"june\"].values.tolist()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "id": "0c244302",
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "May Count: 92\n",
+      "June Count: 358\n"
+     ]
+    }
+   ],
+   "source": [
+    "\n",
+    "\n",
+    "may_count = 0\n",
+    "june_count = 0\n",
+    "    \n",
+    "for i in range(0, len(may)):\n",
+    "    if (may[i] > june[i]):\n",
+    "        may_count += 1\n",
+    "    elif (may[i] < june[i]):\n",
+    "        june_count += 1\n",
+    "    else: pass\n",
+    "\n",
+    "print(\"May Count:\", may_count)\n",
+    "print(\"June Count:\", june_count)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "cea199f3",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "4106db87",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "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": "3.10.9"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}
diff --git a/[lab-sql-9]Tiago.sql b/[lab-sql-9]Tiago.sql
new file mode 100644
index 0000000..7a64d1d
--- /dev/null
+++ b/[lab-sql-9]Tiago.sql
@@ -0,0 +1,55 @@
+-- In this lab we will find the customers who were active in consecutive months of May and June. Follow the steps to complete the analysis.
+
+-- Create a table rentals_may to store the data from rental table with information for the month of May.
+-- Insert values in the table rentals_may using the table rental, filtering values only for the month of May.
+CREATE TABLE rentals_may as
+SELECT *
+FROM sakila.rental
+where month(rental.rental_date)= 5;
+
+SELECT *
+FROM sakila.rentals_may;
+
+-- Create a table rentals_june to store the data from rental table with information for the month of June.
+-- Insert values in the table rentals_june using the table rental, filtering values only for the month of June.
+CREATE TABLE rentals_june as
+SELECT *
+FROM sakila.rental
+where month(rental.rental_date)= 6;
+
+SELECT *
+FROM sakila.rentals_june;
+
+-- Check the number of rentals for each customer for May.
+select concat(c.first_name, ' ', c.last_name) as name, count(r.rental_id) as Qty
+from sakila.rentals_may as r
+left join sakila.customer as c
+on  c.customer_id = r.customer_id
+group by r.customer_id
+order by 2 desc
+;
+
+
+
+-- Check the number of rentals for each customer for June.
+select concat(c.first_name, ' ', c.last_name) as name, count(r.rental_id) as Qty
+from sakila.rentals_june as r
+left join sakila.customer as c
+on  c.customer_id = r.customer_id
+group by r.customer_id
+order by 2 desc
+;
+
+
+-- Create a Python connection with SQL database and retrieve the results of the last two queries (also mentioned below) as dataframes:
+
+-- Check the number of rentals for each customer for May
+
+-- Check the number of rentals for each customer for June
+
+
+-- Hint: You can store the results from the two queries in two separate dataframes.
+
+-- Write a function that checks if customer borrowed more or less films in the month of June as compared to May.
+
+-- Hint: For this part, you can create a join between the two dataframes created before, using the merge function available for pandas dataframes. Here is a link to the documentation for the merge function.
\ No newline at end of file