W2A_Exploratory_Data_Analysis_with_SQL.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "1a4572a7-337d-4da8-933e-77d85ab02a73",
   "metadata": {},
   "source": [
    "<p style=\"text-align:center\">\n",
    "    <a href=\"https://skills.network/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork865-2023-01-01\">\n",
    "    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/assets/logos/SN_web_lightmode.png\" width=\"200\" alt=\"Skills Network Logo\"  />\n",
    "    </a>\n",
    "</p>\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",
    "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",
   "id": "f0f042ef-27c0-4a64-94f5-b5f6ff99fa29",
   "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",
    "\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",
   "id": "9df33158-7234-4d15-83f0-acab745b6b06",
   "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\" target=\"_blank\">Spacex DataSet</a>\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7e594554-fe5c-4346-a1f3-38fb3e5c6126",
   "metadata": {},
   "source": [
    "**Navigate to the 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\">link</a> for viewing  the   Go to UI screen. \n",
    "\n",
    "\n",
    "* Later click on **Data link(below SQL)**  in the Go to UI screen  and click on **Load Data** tab.  \n",
    "\n",
    "\n",
    "\n",
    "* Later browse for the downloaded spacex file.\n",
    "\n",
    "\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",
    "\n",
    "* Once done select the schema andload the file.  \n",
    "\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",
    " \n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "10e0e2ed-3414-4c28-ad6e-7e21c1863683",
   "metadata": {},
   "source": [
    "\n",
    "If you are facing a problem in uploading the dataset (which is a csv file), you can follow the steps below to upload the .sql file instead of the CSV file:\n",
    "\n",
    "* Download the file <a href=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/datasets/Spacex%20.sql\">Spacex.sql</a>\n",
    "\n",
    "* Later click on **SQL** in the  **Go to UI Screen**.\n",
    "\n",
    "* Use the **From file** option to browse for the **SQL** file and upload it.\n",
    "\n",
    "<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_2/images/sqlfile.png\">\n",
    "\n",
    "* Once you upload the script,you can use the **Run All** option to run all the queries to insert the data.\n",
    "\n",
    "<img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_2/images/runall.png\">\n",
    "\n",
    "    \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "cfa51ac3-773f-464f-8613-0f40371d1237",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting ibm_db==3.1.0\n",
      "  Using cached ibm_db-3.1.0-cp310-cp310-linux_x86_64.whl\n",
      "Collecting ibm_db_sa==0.3.3\n",
      "  Using cached ibm_db_sa-0.3.3-py3-none-any.whl\n",
      "Collecting sqlalchemy>=0.7.3\n",
      "  Using cached SQLAlchemy-2.0.10-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (2.8 MB)\n",
      "Collecting typing-extensions>=4.2.0\n",
      "  Using cached typing_extensions-4.5.0-py3-none-any.whl (27 kB)\n",
      "Collecting greenlet!=0.4.17\n",
      "  Using cached greenlet-2.0.2-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl (613 kB)\n",
      "Installing collected packages: ibm_db, typing-extensions, greenlet, sqlalchemy, ibm_db_sa\n",
      "  Attempting uninstall: ibm_db\n",
      "    Found existing installation: ibm-db 3.1.0\n",
      "    Uninstalling ibm-db-3.1.0:\n",
      "      Successfully uninstalled ibm-db-3.1.0\n",
      "  Attempting uninstall: typing-extensions\n",
      "    Found existing installation: typing_extensions 4.5.0\n",
      "    Uninstalling typing_extensions-4.5.0:\n",
      "      Successfully uninstalled typing_extensions-4.5.0\n",
      "  Attempting uninstall: greenlet\n",
      "    Found existing installation: greenlet 2.0.2\n",
      "    Uninstalling greenlet-2.0.2:\n",
      "      Successfully uninstalled greenlet-2.0.2\n",
      "  Attempting uninstall: sqlalchemy\n",
      "    Found existing installation: SQLAlchemy 1.3.24\n",
      "    Uninstalling SQLAlchemy-1.3.24:\n",
      "      Successfully uninstalled SQLAlchemy-1.3.24\n",
      "  Attempting uninstall: ibm_db_sa\n",
      "    Found existing installation: ibm-db-sa 0.3.3\n",
      "    Uninstalling ibm-db-sa-0.3.3:\n",
      "      Successfully uninstalled ibm-db-sa-0.3.3\n",
      "Successfully installed greenlet-2.0.2 ibm_db-3.1.0 ibm_db_sa-0.3.3 sqlalchemy-2.0.10 typing-extensions-4.5.0\n",
      "Collecting sqlalchemy==1.3.24\n",
      "  Using cached SQLAlchemy-1.3.24-cp310-cp310-linux_x86_64.whl\n",
      "Installing collected packages: sqlalchemy\n",
      "  Attempting uninstall: sqlalchemy\n",
      "    Found existing installation: SQLAlchemy 2.0.10\n",
      "    Uninstalling SQLAlchemy-2.0.10:\n",
      "      Successfully uninstalled SQLAlchemy-2.0.10\n",
      "Successfully installed sqlalchemy-1.3.24\n",
      "Found existing installation: ipython-sql 0.4.1\n",
      "Uninstalling ipython-sql-0.4.1:\n",
      "  Successfully uninstalled ipython-sql-0.4.1\n",
      "Collecting ipython-sql==0.4.1\n",
      "  Using cached ipython_sql-0.4.1-py3-none-any.whl (21 kB)\n",
      "Requirement already satisfied: six in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython-sql==0.4.1) (1.16.0)\n",
      "Requirement already satisfied: prettytable<1 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython-sql==0.4.1) (0.7.2)\n",
      "Requirement already satisfied: ipython-genutils>=0.1.0 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython-sql==0.4.1) (0.2.0)\n",
      "Requirement already satisfied: ipython>=1.0 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython-sql==0.4.1) (8.4.0)\n",
      "Requirement already satisfied: sqlparse in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython-sql==0.4.1) (0.4.4)\n",
      "Requirement already satisfied: sqlalchemy>=0.6.7 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython-sql==0.4.1) (1.3.24)\n",
      "Requirement already satisfied: stack-data in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (0.2.0)\n",
      "Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (3.0.20)\n",
      "Requirement already satisfied: decorator in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (5.1.1)\n",
      "Requirement already satisfied: jedi>=0.16 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (0.18.1)\n",
      "Requirement already satisfied: traitlets>=5 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (5.1.1)\n",
      "Requirement already satisfied: backcall in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (0.2.0)\n",
      "Requirement already satisfied: pexpect>4.3 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (4.8.0)\n",
      "Requirement already satisfied: pickleshare in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (0.7.5)\n",
      "Requirement already satisfied: setuptools>=18.5 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (65.6.3)\n",
      "Requirement already satisfied: matplotlib-inline in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (0.1.6)\n",
      "Requirement already satisfied: pygments>=2.4.0 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from ipython>=1.0->ipython-sql==0.4.1) (2.11.2)\n",
      "Requirement already satisfied: parso<0.9.0,>=0.8.0 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from jedi>=0.16->ipython>=1.0->ipython-sql==0.4.1) (0.8.3)\n",
      "Requirement already satisfied: ptyprocess>=0.5 in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from pexpect>4.3->ipython>=1.0->ipython-sql==0.4.1) (0.7.0)\n",
      "Requirement already satisfied: wcwidth in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=1.0->ipython-sql==0.4.1) (0.2.5)\n",
      "Requirement already satisfied: asttokens in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from stack-data->ipython>=1.0->ipython-sql==0.4.1) (2.0.5)\n",
      "Requirement already satisfied: pure-eval in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from stack-data->ipython>=1.0->ipython-sql==0.4.1) (0.2.2)\n",
      "Requirement already satisfied: executing in /opt/conda/envs/Python-3.10/lib/python3.10/site-packages (from stack-data->ipython>=1.0->ipython-sql==0.4.1) (0.8.3)\n",
      "Installing collected packages: ipython-sql\n",
      "Successfully installed ipython-sql-0.4.1\n"
     ]
    }
   ],
   "source": [
    "!pip install --force-reinstall ibm_db==3.1.0 ibm_db_sa==0.3.3\n",
    "!pip install sqlalchemy==1.3.24\n",
    "!pip uninstall ipython-sql -y\n",
    "!pip install ipython-sql==0.4.1"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c3dba6f4-b072-426f-a321-170cc50d9d54",
   "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": 2,
   "id": "f6d1a362-0ff3-489a-89bf-89e07ae36de6",
   "metadata": {},
   "outputs": [],
   "source": [
    "%load_ext sql"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "0d0f926b-bc7f-4fa8-bfb7-1df4c6eef9b1",
   "metadata": {},
   "source": [
    "\n",
    "\n",
    "\n",
    "**DB2 magic in case of  UI service credentials.**\n",
    "\n",
    "\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": 3,
   "id": "88bdd54b-9c54-4045-a2cc-36150de56071",
   "metadata": {},
   "outputs": [],
   "source": [
    "%sql ibm_db_sa://qwq44400:lTW5znam0G0CdvmA@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb?security=SSL"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0eba71f-c487-4645-a9db-b38e3de859bd",
   "metadata": {},
   "source": [
    "## Tasks\n",
    "\n",
    "Now write and execute SQL queries to solve the assignment tasks.\n",
    "\n",
    "### Task 1\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "##### Display the names of the unique launch sites  in the space mission\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "f31edd45-b6bb-4b6b-b0e8-7f5abee8c30a",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://qwq44400:***@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb\n",
      "Done.\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>CCAFS SLC-40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>KSC LC-39A</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>VAFB SLC-4E</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('CCAFS LC-40',), ('CCAFS SLC-40',), ('KSC LC-39A',), ('VAFB SLC-4E',)]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select distinct(launch_site) from spacex;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "3dcd6095-ce1e-47fe-b980-82ec5c94868b",
   "metadata": {},
   "source": [
    "\n",
    "### Task 2\n",
    "\n",
    "\n",
    "#####  Display 5 records where launch sites begin with the string 'CCA' \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "546fb108-e3e5-4cd0-85c4-59d7b1c3de4e",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://qwq44400:***@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb\n",
      "Done.\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), datetime.time(18, 45), 'F9 v1.0  B0003', 'CCAFS LC-40', 'Dragon Spacecraft Qualification Unit', 0, 'LEO', 'SpaceX', 'Success', 'Failure (parachute)'),\n",
       " (datetime.date(2010, 12, 8), datetime.time(15, 43), '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), datetime.time(7, 44), '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), datetime.time(0, 35), 'F9 v1.0  B0006', 'CCAFS LC-40', 'SpaceX CRS-1', 500, 'LEO (ISS)', 'NASA (CRS)', 'Success', 'No attempt'),\n",
       " (datetime.date(2013, 3, 1), datetime.time(15, 10), 'F9 v1.0  B0007', 'CCAFS LC-40', 'SpaceX CRS-2', 677, 'LEO (ISS)', 'NASA (CRS)', 'Success', 'No attempt')]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "select *\n",
    "from spacex \n",
    "where launch_site like'CCA%'\n",
    "limit 5;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c71c6965-cf7d-4d67-ac53-a02bfd9989d1",
   "metadata": {},
   "source": [
    "### Task 3\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "##### Display the total payload mass carried by boosters launched by NASA (CRS)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "880f11e0-4aa3-46cd-a6c6-7b5f483544f0",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://qwq44400:***@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>45596</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(45596,)]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "SELECT SUM(PAYLOAD_MASS__KG_)\n",
    "FROM SPACEX\n",
    "WHERE CUSTOMER = 'NASA (CRS)';"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "390dab14-7504-49dd-80d1-845142f118e9",
   "metadata": {},
   "source": [
    "### Task 4\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "##### Display average payload mass carried by booster version F9 v1.1\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "f5556b76-1f7b-4cdf-9802-0ae766b032ff",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://qwq44400:***@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2534</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(2534,)]"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT AVG(PAYLOAD_MASS__KG_)\n",
    "FROM SPACEX\n",
    "WHERE BOOSTER_VERSION LIKE 'F9 v1.1%'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "2e1a7ec4-bbd5-403b-9e8d-2772313b32a7",
   "metadata": {},
   "source": [
    "### Task 5\n",
    "\n",
    "##### List the date when the first successful landing outcome in ground pad was acheived.\n",
    "\n",
    "\n",
    "_Hint:Use min function_ \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "1cc1dbe7-cb50-4b40-8db3-b4d4cdee01a5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://qwq44400:***@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>1</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2015-12-22</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(datetime.date(2015, 12, 22),)]"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "SELECT MIN(DATE)\n",
    "FROM SPACEX\n",
    "WHERE LANDING__OUTCOME = 'Success (ground pad)'"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "61b1d91a-b208-4beb-80d4-00624dbe46a8",
   "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": 18,
   "id": "521f4752-62e6-402b-ac53-42b8795dc1c4",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://qwq44400:***@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>booster_version</th>\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  B1021.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 FT  B1031.2</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('F9 FT B1022',), ('F9 FT B1026',), ('F9 FT  B1021.2',), ('F9 FT  B1031.2',)]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT BOOSTER_VERSION\n",
    "FROM SPACEX \n",
    "WHERE LANDING__OUTCOME='Success (drone ship)' \n",
    "AND PAYLOAD_MASS__KG_ > 4000 \n",
    "AND PAYLOAD_MASS__KG_ < 6000 "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "ceccf431-8329-4443-875f-1505a5c2c083",
   "metadata": {},
   "source": [
    "### Task 7\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "##### List the total number of successful and failure mission outcomes\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "f0099236-66c8-4369-ae2d-fc5aae522610",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://qwq44400:***@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>mission_outcome</th>\n",
       "        <th>total_number_of_launches</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Failure (in flight)</td>\n",
       "        <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Success</td>\n",
       "        <td>99</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Success (payload status unclear)</td>\n",
       "        <td>1</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Failure (in flight)', 1),\n",
       " ('Success', 99),\n",
       " ('Success (payload status unclear)', 1)]"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "SELECT MISSION_OUTCOME, COUNT(*) AS TOTAL_NUMBER_OF_LAUNCHES\n",
    "FROM SPACEX\n",
    "GROUP BY MISSION_OUTCOME;"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cffcca0b-2fb7-45a9-afd6-a2af9edcddfa",
   "metadata": {},
   "source": [
    "### Task 8\n",
    "\n",
    "\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": 27,
   "id": "2cb7b593-2192-47e4-99c5-2bc62ca6ebd5",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://qwq44400:***@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb\n",
      "Done.\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": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT BOOSTER_VERSION\n",
    "FROM SPACEX\n",
    "WHERE PAYLOAD_MASS__KG_ = (SELECT MAX(PAYLOAD_MASS__KG_) FROM SPACEX);"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "d81d8af0-6542-4c3b-8713-d2c266a36434",
   "metadata": {},
   "source": [
    "### Task 9\n",
    "\n",
    "\n",
    "##### List the failed landing_outcomes in drone ship, their booster versions, and launch site names for in year 2015\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "dd00fec0-d4b5-4fb1-8cd7-f95ebf2f1856",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://qwq44400:***@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>landing__outcome</th>\n",
       "        <th>booster_version</th>\n",
       "        <th>launch_site</th>\n",
       "        <th>DATE</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Failure (drone ship)</td>\n",
       "        <td>F9 v1.1 B1012</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>2015-01-10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Failure (drone ship)</td>\n",
       "        <td>F9 v1.1 B1015</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>2015-04-14</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Failure (drone ship)', 'F9 v1.1 B1012', 'CCAFS LC-40', datetime.date(2015, 1, 10)),\n",
       " ('Failure (drone ship)', 'F9 v1.1 B1015', 'CCAFS LC-40', datetime.date(2015, 4, 14))]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT LANDING__OUTCOME, BOOSTER_VERSION, LAUNCH_SITE, DATE\n",
    "FROM SPACEX\n",
    "WHERE LANDING__OUTCOME = 'Failure (drone ship)'\n",
    "AND YEAR(DATE)=2015; "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "cbfc7853-46d8-4a89-9468-1170274ec555",
   "metadata": {},
   "source": [
    "### Task 10\n",
    "\n",
    "##### Rank the count of landing outcomes (such as Failure (drone ship) or Success (ground pad)) between the date 2010-06-04 and 2017-03-20, in descending order\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "id": "a1aecee7-7189-4189-9c74-c0808ac34cd6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://qwq44400:***@2f3279a5-73d1-4859-88f0-a6c3e6b4b907.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:30756/bludb\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>landing__outcome</th>\n",
       "        <th>count_of_launches</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>No attempt</td>\n",
       "        <td>10</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Failure (drone ship)</td>\n",
       "        <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Success (drone ship)</td>\n",
       "        <td>5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Controlled (ocean)</td>\n",
       "        <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Success (ground pad)</td>\n",
       "        <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Failure (parachute)</td>\n",
       "        <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Uncontrolled (ocean)</td>\n",
       "        <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>Precluded (drone ship)</td>\n",
       "        <td>1</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('No attempt', 10),\n",
       " ('Failure (drone ship)', 5),\n",
       " ('Success (drone ship)', 5),\n",
       " ('Controlled (ocean)', 3),\n",
       " ('Success (ground pad)', 3),\n",
       " ('Failure (parachute)', 2),\n",
       " ('Uncontrolled (ocean)', 2),\n",
       " ('Precluded (drone ship)', 1)]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql\n",
    "SELECT LANDING__OUTCOME, COUNT(LANDING__OUTCOME) AS COUNT_OF_LAUNCHES\n",
    "FROM SPACEX\n",
    "WHERE DATE >= '2010-06-04' AND DATE <= '2017-03-20'\n",
    "GROUP BY LANDING__OUTCOME\n",
    "ORDER BY COUNT_OF_LAUNCHES DESC; "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "07c75a47-4b2b-4dba-a09d-2890d61169ca",
   "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?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?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?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\">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\">Hands-on Lab: Analyzing a real World Data Set</a>\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "76a8e6fb-7dfe-4e28-ab8e-c240920ae1d3",
   "metadata": {},
   "source": [
    "## Author(s)\n",
    "\n",
    "<h4> Lakshmi Holla </h4>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "5b99ecdf-6aa7-4cca-b6fc-bbc01e78f553",
   "metadata": {},
   "source": [
    "## Other Contributors\n",
    "\n",
    "<h4> Rav Ahuja </h4>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "b0f48c22-b195-4751-9638-48a6e6948a22",
   "metadata": {},
   "source": [
    "## Change log\n",
    "| Date | Version | Changed by | Change Description |\n",
    "|------|--------|--------|---------|\n",
    "| 2021-10-12 | 0.4 |Lakshmi Holla | Changed markdown|\n",
    "| 2021-08-24 | 0.3 |Lakshmi Holla | Added library update|\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",
   "id": "04d29bb5-339b-4842-b38c-af6de62d5ad5",
   "metadata": {},
   "source": [
    "## <h3 align=\"center\"> © IBM Corporation 2021. All rights reserved. <h3/>\n"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.10",
   "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": 4
}