4.jupyter-labs-eda-sql-coursera.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center>\n",
    "    <img src=\"https://gitlab.com/ibm/skills-network/courses/placeholder101/-/raw/master/labs/module%201/images/IDSNlogo.png\"  width=\"300\" alt=\"cognitiveclass.ai logo\"  />\n",
    "</center>\n",
    "\n",
    "<h1 align=center><font size = 5>Assignment: SQL Notebook for Peer Assignment</font></h1>\n",
    "\n",
    "Estimated time needed: **60** minutes.\n",
    "\n",
    "## Introduction\n",
    "\n",
    "Using this Python notebook you will:\n",
    "\n",
    "1.  Understand the Spacex DataSet\n",
    "2.  Load the dataset  into the corresponding table in a Db2 database\n",
    "3.  Execute SQL queries to answer assignment questions\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Overview of the DataSet\n",
    "\n",
    "SpaceX has gained worldwide attention for a series of historic milestones.\n",
    "\n",
    "It is the only private company ever to return a spacecraft from low-earth orbit, which it first accomplished in December 2010.\n",
    "SpaceX advertises Falcon 9 rocket launches on its website with a cost of 62 million dollars wheras other providers cost upward of 165 million dollars each, much of the savings is because Space X can reuse the first stage.\n",
    "\n",
    "Therefore if we can determine if the first stage will land, we can determine the cost of a launch.\n",
    "\n",
    "This information can be used if an alternate company wants to bid against SpaceX for a rocket launch.\n",
    "\n",
    "This dataset includes a record for each payload carried during a SpaceX mission into outer space.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Download the datasets\n",
    "\n",
    "This assignment requires you to load the spacex dataset.\n",
    "\n",
    "In many cases the dataset to be analyzed is available as a .CSV (comma separated values) file, perhaps on the internet. Click on the link below to download and save the dataset (.CSV file):\n",
    "\n",
    "<a href=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_2/data/Spacex.csv?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2021-01-01\" target=\"_blank\">Spacex DataSet</a>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Store the dataset in database table\n",
    "\n",
    "**it is highly recommended to manually load the table using the database console LOAD tool in DB2**.\n",
    "\n",
    "<img src = \"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_2/images/spacexload.png\">\n",
    "\n",
    "Now open the Db2 console, open the LOAD tool, Select / Drag the .CSV file for the  dataset, Next create a New Table, and then follow the steps on-screen instructions to load the data. Name the new table as follows:\n",
    "\n",
    "**SPACEXDATASET**\n",
    "\n",
    "**Follow these steps while using old DB2 UI which is having Open Console Screen**\n",
    "\n",
    "**Note:While loading Spacex dataset, ensure that detect datatypes is disabled. Later click on the pencil icon(edit option).**\n",
    "\n",
    "1.  Change the Date Format by manually typing DD-MM-YYYY and timestamp format as DD-MM-YYYY HH\\:MM:SS\n",
    "\n",
    "2.  Change the PAYLOAD_MASS\\_\\_KG\\_  datatype  to INTEGER.\n",
    "\n",
    "<img src = \"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_2/images/spacexload2.png\">\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Changes to be considered when having DB2 instance with the new UI having Go to UI screen**\n",
    "\n",
    "*   Refer to this insruction in this <a href=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DB0201EN-SkillsNetwork/labs/Labs_Coursera_V5/labs/Lab%20-%20Sign%20up%20for%20IBM%20Cloud%20-%20Create%20Db2%20service%20instance%20-%20Get%20started%20with%20the%20Db2%20console/instructional-labs.md.html?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2021-01-01\">link</a> for viewing  the new  Go to UI screen.\n",
    "\n",
    "*   Later click on **Data link(below SQL)**  in the Go to UI screen  and click on **Load Data** tab.\n",
    "\n",
    "*   Later browse for the downloaded spacex file.\n",
    "\n",
    "<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_2/images/browsefile.png\" width=\"800\"/>\n",
    "\n",
    "*   Once done select the schema andload the file.\n",
    "\n",
    " <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_2/images/spacexload3.png\" width=\"800\"/>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "!pip install sqlalchemy==1.3.9\n",
    "!pip install ibm_db_sa"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Connect to the database\n",
    "\n",
    "Let us first load the SQL extension and establish a connection with the database\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext sql"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**DB2 magic in case of old UI service credentials.**\n",
    "\n",
    "In the next cell enter your db2 connection string. Recall you created Service Credentials for your Db2 instance before. From the **uri** field of your Db2 service credentials copy everything after db2:// (except the double quote at the end) and paste it in the cell below after ibm_db_sa://\n",
    "\n",
    "<img src =\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DB0201EN-SkillsNetwork/labs/FinalModule_edX/images/URI.jpg\">\n",
    "\n",
    "in the following format\n",
    "\n",
    "**%sql ibm_db_sa://my-username:my-password@my-hostname:my-port/my-db-name**\n",
    "\n",
    "**DB2 magic in case of new UI service credentials.**\n",
    "\n",
    "<img src =\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_2/images/servicecredentials.png\" width=600>  \n",
    "\n",
    "*   Use the following format.\n",
    "\n",
    "*   Add security=SSL at the end\n",
    "\n",
    "**%sql ibm_db_sa://my-username:my-password@my-hostname:my-port/my-db-name?security=SSL**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('password.txt','r') as f1:\n",
    "    sql_pass = f1.read().splitlines()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "link ='mysql+pymysql://root:{}@localhost/{}'.format(sql_pass[0],sql_pass[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "%sql $link"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tasks\n",
    "\n",
    "Now write and execute SQL queries to solve the assignment tasks.\n",
    "\n",
    "### Task 1\n",
    "\n",
    "##### Display the names of the unique launch sites  in the space mission\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * mysql+pymysql://root:***@localhost/learn_schema\n",
      "5 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>Launch_Site</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>CCAFS LC-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>VAFB SLC-4E</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>KSC LC-39A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>CCAFS SLC-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>CCAFSSLC-40</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('CCAFS LC-40',),\n",
       " ('VAFB SLC-4E',),\n",
       " ('KSC LC-39A',),\n",
       " ('CCAFS SLC-40',),\n",
       " ('CCAFSSLC-40',)]"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select distinct(Launch_Site) from SpaceX"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 2\n",
    "\n",
    "##### Display 5 records where launch sites begin with the string 'CCA'\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * mysql+pymysql://root:***@localhost/learn_schema\n",
      "5 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>date</th>\n",
       "        <th>Time (UTC)</th>\n",
       "        <th>Booster_Version</th>\n",
       "        <th>Launch_Site</th>\n",
       "        <th>Payload</th>\n",
       "        <th>PAYLOAD_MASS__KG_</th>\n",
       "        <th>Orbit</th>\n",
       "        <th>Customer</th>\n",
       "        <th>Mission_Outcome</th>\n",
       "        <th>Landing _Outcome</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2010-06-04</td>\n",
       "        <td>18:45:00</td>\n",
       "        <td>F9 v1.0  B0003</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>Dragon Spacecraft Qualification Unit</td>\n",
       "        <td>0</td>\n",
       "        <td>LEO</td>\n",
       "        <td>SpaceX</td>\n",
       "        <td>Success</td>\n",
       "        <td>Failure (parachute)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2010-12-08</td>\n",
       "        <td>15:43:00</td>\n",
       "        <td>F9 v1.0  B0004</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>Dragon demo flight C1, two CubeSats, barrel of Brouere cheese</td>\n",
       "        <td>0</td>\n",
       "        <td>LEO (ISS)</td>\n",
       "        <td>NASA (COTS) NRO</td>\n",
       "        <td>Success</td>\n",
       "        <td>Failure (parachute)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2012-05-22</td>\n",
       "        <td>07:44:00</td>\n",
       "        <td>F9 v1.0  B0005</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>Dragon demo flight C2</td>\n",
       "        <td>525</td>\n",
       "        <td>LEO (ISS)</td>\n",
       "        <td>NASA (COTS)</td>\n",
       "        <td>Success</td>\n",
       "        <td>No attempt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2012-10-08</td>\n",
       "        <td>00:35:00</td>\n",
       "        <td>F9 v1.0  B0006</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>SpaceX CRS-1</td>\n",
       "        <td>500</td>\n",
       "        <td>LEO (ISS)</td>\n",
       "        <td>NASA (CRS)</td>\n",
       "        <td>Success</td>\n",
       "        <td>No attempt</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2013-03-01</td>\n",
       "        <td>15:10:00</td>\n",
       "        <td>F9 v1.0  B0007</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>SpaceX CRS-2</td>\n",
       "        <td>677</td>\n",
       "        <td>LEO (ISS)</td>\n",
       "        <td>NASA (CRS)</td>\n",
       "        <td>Success</td>\n",
       "        <td>No attempt</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(datetime.date(2010, 6, 4), '18:45:00', 'F9 v1.0  B0003', 'CCAFS LC-40', 'Dragon Spacecraft Qualification Unit', 0, 'LEO', 'SpaceX', 'Success', 'Failure (parachute)'),\n",
       " (datetime.date(2010, 12, 8), '15:43:00', 'F9 v1.0  B0004', 'CCAFS LC-40', 'Dragon demo flight C1, two CubeSats, barrel of Brouere cheese', 0, 'LEO (ISS)', 'NASA (COTS) NRO', 'Success', 'Failure (parachute)'),\n",
       " (datetime.date(2012, 5, 22), '07:44:00', 'F9 v1.0  B0005', 'CCAFS LC-40', 'Dragon demo flight C2', 525, 'LEO (ISS)', 'NASA (COTS)', 'Success', 'No attempt'),\n",
       " (datetime.date(2012, 10, 8), '00:35:00', 'F9 v1.0  B0006', 'CCAFS LC-40', 'SpaceX CRS-1', 500, 'LEO (ISS)', 'NASA (CRS)', 'Success', 'No attempt'),\n",
       " (datetime.date(2013, 3, 1), '15:10:00', 'F9 v1.0  B0007', 'CCAFS LC-40', 'SpaceX CRS-2', 677, 'LEO (ISS)', 'NASA (CRS)', 'Success', 'No attempt')]"
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "select * from SpaceX\n",
    "where Launch_Site Like 'CCA%'\n",
    "Limit 5"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 3\n",
    "\n",
    "##### Display the total payload mass carried by boosters launched by NASA (CRS)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * mysql+pymysql://root:***@localhost/learn_schema\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>SUM(PAYLOAD_MASS__KG_)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>45596</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(Decimal('45596'),)]"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "Select SUM(PAYLOAD_MASS__KG_) from SpaceX\n",
    "Where Customer = 'NASA (CRS)'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 4\n",
    "\n",
    "##### Display average payload mass carried by booster version F9 v1.1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * mysql+pymysql://root:***@localhost/learn_schema\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>AVG(PAYLOAD_MASS__KG_)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2928.4000</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(Decimal('2928.4000'),)]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "Select AVG(PAYLOAD_MASS__KG_) from SpaceX\n",
    "Where Booster_Version = 'F9 v1.1'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 5\n",
    "\n",
    "##### List the date when the first succesful landing outcome in ground pad was acheived.\n",
    "\n",
    "*Hint:Use min function*\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * mysql+pymysql://root:***@localhost/learn_schema\n",
      "1 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>date</th>\n",
       "        <th>Time (UTC)</th>\n",
       "        <th>Booster_Version</th>\n",
       "        <th>Launch_Site</th>\n",
       "        <th>Payload</th>\n",
       "        <th>PAYLOAD_MASS__KG_</th>\n",
       "        <th>Orbit</th>\n",
       "        <th>Customer</th>\n",
       "        <th>Mission_Outcome</th>\n",
       "        <th>Landing _Outcome</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2015-12-22</td>\n",
       "        <td>01:29:00</td>\n",
       "        <td>F9 FT B1019</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>OG2 Mission 2  11 Orbcomm-OG2 satellites</td>\n",
       "        <td>2034</td>\n",
       "        <td>LEO</td>\n",
       "        <td>Orbcomm</td>\n",
       "        <td>Success</td>\n",
       "        <td>Success (ground pad)</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(datetime.date(2015, 12, 22), '01:29:00', 'F9 FT B1019', 'CCAFS LC-40', 'OG2 Mission 2  11 Orbcomm-OG2 satellites', 2034, 'LEO', 'Orbcomm', 'Success', 'Success (ground pad)')]"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql SELECT * from SpaceX \n",
    "where `Landing _Outcome` = 'Success (ground pad)'\n",
    "order by date ASC\n",
    "limit 1"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 6\n",
    "\n",
    "##### List the names of the boosters which have success in drone ship and have payload mass greater than 4000 but less than 6000\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * mysql+pymysql://root:***@localhost/learn_schema\n",
      "23 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>Booster_Version</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 v1.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 v1.1 B1011</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 v1.1 B1014</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 v1.1 B1016</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 FT B1020</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 FT B1022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 FT B1026</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 FT B1030</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 FT  B1021.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 FT B1032.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B4 B1040.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 FT  B1031.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B4 B1043.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 FT  B1032.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B4  B1040.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1046.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1047.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5B1054</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1048.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1051.2 </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5B1060.1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1058.2 </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5B1062.1</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('F9 v1.1',),\n",
       " ('F9 v1.1 B1011',),\n",
       " ('F9 v1.1 B1014',),\n",
       " ('F9 v1.1 B1016',),\n",
       " ('F9 FT B1020',),\n",
       " ('F9 FT B1022',),\n",
       " ('F9 FT B1026',),\n",
       " ('F9 FT B1030',),\n",
       " ('F9 FT  B1021.2',),\n",
       " ('F9 FT B1032.1',),\n",
       " ('F9 B4 B1040.1',),\n",
       " ('F9 FT  B1031.2',),\n",
       " ('F9 B4 B1043.1',),\n",
       " ('F9 FT  B1032.2',),\n",
       " ('F9 B4  B1040.2',),\n",
       " ('F9 B5 B1046.2',),\n",
       " ('F9 B5 B1047.2',),\n",
       " ('F9 B5B1054',),\n",
       " ('F9 B5 B1048.3',),\n",
       " ('F9 B5 B1051.2 ',),\n",
       " ('F9 B5B1060.1',),\n",
       " ('F9 B5 B1058.2 ',),\n",
       " ('F9 B5B1062.1',)]"
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql SELECT distinct(Booster_Version) from SpaceX \n",
    "where PAYLOAD_MASS__KG_>4000 and PAYLOAD_MASS__KG_<6000"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 7\n",
    "\n",
    "##### List the total number of successful and failure mission outcomes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * mysql+pymysql://root:***@localhost/learn_schema\n",
      "3 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>Mission_Outcome</th>\n",
       "        <th>Count(Mission_Outcome)</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Success</td>\n",
       "        <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Failure (in flight)</td>\n",
       "        <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Success (payload status unclear)</td>\n",
       "        <td>1</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Success', 99),\n",
       " ('Failure (in flight)', 1),\n",
       " ('Success (payload status unclear)', 1)]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql SELECT Mission_Outcome,Count(Mission_Outcome) from SpaceX\n",
    "Group by Mission_Outcome"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 8\n",
    "\n",
    "##### List the   names of the booster_versions which have carried the maximum payload mass. Use a subquery\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * mysql+pymysql://root:***@localhost/learn_schema\n",
      "12 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>Booster_Version</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1048.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1049.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1051.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1056.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1048.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1051.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1049.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1060.2 </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1058.3 </td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1051.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1060.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1049.7 </td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('F9 B5 B1048.4',),\n",
       " ('F9 B5 B1049.4',),\n",
       " ('F9 B5 B1051.3',),\n",
       " ('F9 B5 B1056.4',),\n",
       " ('F9 B5 B1048.5',),\n",
       " ('F9 B5 B1051.4',),\n",
       " ('F9 B5 B1049.5',),\n",
       " ('F9 B5 B1060.2 ',),\n",
       " ('F9 B5 B1058.3 ',),\n",
       " ('F9 B5 B1051.6',),\n",
       " ('F9 B5 B1060.3',),\n",
       " ('F9 B5 B1049.7 ',)]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT Booster_Version from SpaceX\n",
    "Where PAYLOAD_MASS__KG_ = (SELECT MAX(PAYLOAD_MASS__KG_) from SpaceX)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 9\n",
    "\n",
    "##### List the records which will display the month names, failure landing_outcomes in drone ship ,booster versions, launch_site for the months in year 2015\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * mysql+pymysql://root:***@localhost/learn_schema\n",
      "2 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>Month</th>\n",
       "        <th>Booster_Version</th>\n",
       "        <th>Launch_Site</th>\n",
       "        <th>Landing _Outcome</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>January</td>\n",
       "        <td>F9 v1.1 B1012</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>Failure (drone ship)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>April</td>\n",
       "        <td>F9 v1.1 B1015</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>Failure (drone ship)</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('January', 'F9 v1.1 B1012', 'CCAFS LC-40', 'Failure (drone ship)'),\n",
       " ('April', 'F9 v1.1 B1015', 'CCAFS LC-40', 'Failure (drone ship)')]"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "SELECT MONTHNAME(date)as Month,Booster_Version,Launch_Site,`Landing _Outcome` from SpaceX\n",
    "Where `Landing _Outcome`='Failure (drone ship)'\n",
    "Group by date\n",
    "Having YEAR(date)=2015"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 10\n",
    "\n",
    "##### Rank the  count of  successful landing_outcomes between the date 2010-06-04 and 2017-03-20 in descending order.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * mysql+pymysql://root:***@localhost/learn_schema\n",
      "8 rows affected.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>Landing _Outcome</th>\n",
       "        <th>No.Of Landing</th>\n",
       "        <th>Ranking</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Precluded (drone ship)</td>\n",
       "        <td>1</td>\n",
       "        <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Failure (parachute)</td>\n",
       "        <td>2</td>\n",
       "        <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Uncontrolled (ocean)</td>\n",
       "        <td>2</td>\n",
       "        <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Controlled (ocean)</td>\n",
       "        <td>3</td>\n",
       "        <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Success (ground pad)</td>\n",
       "        <td>3</td>\n",
       "        <td>4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Failure (drone ship)</td>\n",
       "        <td>5</td>\n",
       "        <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Success (drone ship)</td>\n",
       "        <td>5</td>\n",
       "        <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>No attempt</td>\n",
       "        <td>10</td>\n",
       "        <td>8</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Precluded (drone ship)', 1, 1),\n",
       " ('Failure (parachute)', 2, 2),\n",
       " ('Uncontrolled (ocean)', 2, 2),\n",
       " ('Controlled (ocean)', 3, 4),\n",
       " ('Success (ground pad)', 3, 4),\n",
       " ('Failure (drone ship)', 5, 6),\n",
       " ('Success (drone ship)', 5, 6),\n",
       " ('No attempt', 10, 8)]"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT `Landing _Outcome`,Count(`Landing _Outcome`) as `No.Of Landing`,\n",
    "RANK() over (Order by Count(`Landing _Outcome`)) as Ranking\n",
    "from SpaceX\n",
    "WHERE DATE between '2010-06-04' and '2017-03-20'\n",
    "Group by `Landing _Outcome`"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Reference Links\n",
    "\n",
    "*   <a href =\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DB0201EN-SkillsNetwork/labs/Labs_Coursera_V5/labs/Lab%20-%20String%20Patterns%20-%20Sorting%20-%20Grouping/instructional-labs.md.html?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2021-01-01&origin=www.coursera.org\">Hands-on Lab : String Patterns, Sorting and Grouping</a>\n",
    "\n",
    "*   <a  href=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DB0201EN-SkillsNetwork/labs/Labs_Coursera_V5/labs/Lab%20-%20Built-in%20functions%20/Hands-on_Lab__Built-in_Functions.md.html?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2021-01-01&origin=www.coursera.org\">Hands-on Lab: Built-in functions</a>\n",
    "\n",
    "*   <a  href=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DB0201EN-SkillsNetwork/labs/Labs_Coursera_V5/labs/Lab%20-%20Sub-queries%20and%20Nested%20SELECTs%20/instructional-labs.md.html?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2021-01-01&origin=www.coursera.org\">Hands-on Lab : Sub-queries and Nested SELECT Statements</a>\n",
    "\n",
    "*   <a href=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DB0201EN-SkillsNetwork/labs/Module%205/DB0201EN-Week3-1-3-SQLmagic.ipynb?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2021-01-01\">Hands-on Tutorial: Accessing Databases with SQL magic</a>\n",
    "\n",
    "*   <a href= \"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DB0201EN-SkillsNetwork/labs/Module%205/DB0201EN-Week3-1-4-Analyzing.ipynb?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2021-01-01\">Hands-on Lab: Analyzing a real World Data Set</a>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Author(s)\n",
    "\n",
    "<h4> Lakshmi Holla </h4>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Other Contributors\n",
    "\n",
    "<h4> Rav Ahuja </h4>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Change log\n",
    "\n",
    "| Date | Version | Changed by | Change Description |\n",
    "|------|--------|--------|---------|\n",
    "| 2021-07-09 | 0.2 |Lakshmi Holla | Changes made in magic sql|\n",
    "| 2021-05-20 | 0.1 |Lakshmi Holla | Created Initial Version |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## <h3 align=\"center\"> © IBM Corporation 2021. All rights reserved. <h3/>\n"
   ]
  }
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