jupyter-labs-eda-sql-coursera.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "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-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01\" target=\"_blank\">\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",
    "\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-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01\" 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",
    "    Here you should place the cursor at Date field and manually type as DD-MM-YYYY.\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-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01\">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": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Collecting sqlalchemy==1.3.9\n",
      "  Using cached SQLAlchemy-1.3.9.tar.gz (6.0 MB)\n",
      "  Preparing metadata (setup.py): started\n",
      "  Preparing metadata (setup.py): finished with status 'done'\n",
      "Using legacy 'setup.py install' for sqlalchemy, since package 'wheel' is not installed.\n",
      "Installing collected packages: sqlalchemy\n",
      "  Running setup.py install for sqlalchemy: started\n",
      "  Running setup.py install for sqlalchemy: finished with status 'done'\n",
      "Successfully installed sqlalchemy-1.3.9\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: There was an error checking the latest version of pip.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Collecting ibm_db_sa\n",
      "  Downloading ibm_db_sa-0.3.8-py3-none-any.whl (30 kB)\n",
      "Requirement already satisfied: sqlalchemy>=0.7.3 in c:\\users\\rumen\\appdata\\roaming\\python\\python310\\site-packages (from ibm_db_sa) (1.3.9)\n",
      "Collecting ibm-db>=2.0.0\n",
      "  Downloading ibm_db-3.1.1.tar.gz (1.1 MB)\n",
      "     ---------------------------------------- 1.1/1.1 MB 8.7 MB/s eta 0:00:00\n",
      "  Installing build dependencies: started\n",
      "  Installing build dependencies: finished with status 'done'\n",
      "  Getting requirements to build wheel: started\n",
      "  Getting requirements to build wheel: finished with status 'done'\n",
      "  Installing backend dependencies: started\n",
      "  Installing backend dependencies: finished with status 'done'\n",
      "  Preparing metadata (pyproject.toml): started\n",
      "  Preparing metadata (pyproject.toml): finished with status 'done'\n",
      "Building wheels for collected packages: ibm-db\n",
      "  Building wheel for ibm-db (pyproject.toml): started\n",
      "  Building wheel for ibm-db (pyproject.toml): finished with status 'done'\n",
      "  Created wheel for ibm-db: filename=ibm_db-3.1.1-py3-none-any.whl size=29942913 sha256=61a442905470db3bd16f7670dce5af1ab296102324e45e9836018d4e2e13ec53\n",
      "  Stored in directory: c:\\users\\rumen\\appdata\\local\\pip\\cache\\wheels\\ae\\c5\\63\\9d8a1d9f21d08b97a4eed3d773802f4b7d28cf4b7e40341eec\n",
      "Successfully built ibm-db\n",
      "Installing collected packages: ibm-db, ibm_db_sa\n",
      "Successfully installed ibm-db-3.1.1 ibm_db_sa-0.3.8\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: There was an error checking the latest version of pip.\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Collecting ipython-sql\n",
      "  Downloading ipython_sql-0.4.0-py3-none-any.whl (19 kB)\n",
      "Requirement already satisfied: ipython>=1.0 in c:\\program files\\python310\\lib\\site-packages (from ipython-sql) (8.3.0)\n",
      "Collecting prettytable<1\n",
      "  Downloading prettytable-0.7.2.zip (28 kB)\n",
      "  Preparing metadata (setup.py): started\n",
      "  Preparing metadata (setup.py): finished with status 'done'\n",
      "Requirement already satisfied: sqlalchemy>=0.6.7 in c:\\users\\rumen\\appdata\\roaming\\python\\python310\\site-packages (from ipython-sql) (1.3.9)\n",
      "Requirement already satisfied: sqlparse in c:\\program files\\python310\\lib\\site-packages (from ipython-sql) (0.4.2)\n",
      "Requirement already satisfied: ipython-genutils>=0.1.0 in c:\\program files\\python310\\lib\\site-packages (from ipython-sql) (0.2.0)\n",
      "Requirement already satisfied: six in c:\\program files\\python310\\lib\\site-packages (from ipython-sql) (1.16.0)\n",
      "Requirement already satisfied: matplotlib-inline in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (0.1.3)\n",
      "Requirement already satisfied: stack-data in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (0.2.0)\n",
      "Requirement already satisfied: traitlets>=5 in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (5.2.1.post0)\n",
      "Requirement already satisfied: decorator in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (5.1.1)\n",
      "Requirement already satisfied: pygments>=2.4.0 in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (2.12.0)\n",
      "Requirement already satisfied: colorama in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (0.4.4)\n",
      "Requirement already satisfied: backcall in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (0.2.0)\n",
      "Requirement already satisfied: setuptools>=18.5 in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (58.1.0)\n",
      "Requirement already satisfied: pickleshare in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (0.7.5)\n",
      "Requirement already satisfied: jedi>=0.16 in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (0.18.1)\n",
      "Requirement already satisfied: prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0 in c:\\program files\\python310\\lib\\site-packages (from ipython>=1.0->ipython-sql) (3.0.29)\n",
      "Requirement already satisfied: parso<0.9.0,>=0.8.0 in c:\\program files\\python310\\lib\\site-packages (from jedi>=0.16->ipython>=1.0->ipython-sql) (0.8.3)\n",
      "Requirement already satisfied: wcwidth in c:\\program files\\python310\\lib\\site-packages (from prompt-toolkit!=3.0.0,!=3.0.1,<3.1.0,>=2.0.0->ipython>=1.0->ipython-sql) (0.2.5)\n",
      "Requirement already satisfied: asttokens in c:\\program files\\python310\\lib\\site-packages (from stack-data->ipython>=1.0->ipython-sql) (2.0.5)\n",
      "Requirement already satisfied: executing in c:\\program files\\python310\\lib\\site-packages (from stack-data->ipython>=1.0->ipython-sql) (0.8.3)\n",
      "Requirement already satisfied: pure-eval in c:\\program files\\python310\\lib\\site-packages (from stack-data->ipython>=1.0->ipython-sql) (0.2.2)\n",
      "Using legacy 'setup.py install' for prettytable, since package 'wheel' is not installed.\n",
      "Installing collected packages: prettytable, ipython-sql\n",
      "  Running setup.py install for prettytable: started\n",
      "  Running setup.py install for prettytable: finished with status 'done'\n",
      "Successfully installed ipython-sql-0.4.0 prettytable-0.7.2\n"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "WARNING: There was an error checking the latest version of pip.\n"
     ]
    }
   ],
   "source": [
    "!pip install sqlalchemy==1.3.9\n",
    "!pip install ibm_db_sa\n",
    "!pip install ipython-sql"
   ]
  },
  {
   "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": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "%sql ibm_db_sa://bqq96868:JRPENNCcDdwikC2h@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "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": 10,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://bqq96868:***@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL\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": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select distinct launch_site FROM BQQ96868.SPACEXTBL"
   ]
  },
  {
   "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": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://bqq96868:***@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL\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": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select * FROM BQQ96868.SPACEXTBL where substr(launch_site, 1, 3) = 'CCA' FETCH FIRST 5 ROWS ONLY"
   ]
  },
  {
   "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": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://bqq96868:***@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>sum_payload_mass</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>45596</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(45596,)]"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select sum(payload_mass__kg_) sum_payload_mass FROM BQQ96868.SPACEXTBL 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": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://bqq96868:***@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>avg_payload_mass</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2928</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(2928,)]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select avg(payload_mass__kg_) avg_payload_mass FROM BQQ96868.SPACEXTBL WHERE booster_version = 'F9 v1.1'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 5\n",
    "\n",
    "##### List the date when the first successful landing outcome in ground pad was acheived.\n",
    "\n",
    "*Hint:Use min function*\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://bqq96868:***@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>first_successful_landing_outcome</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>2015-12-22</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[(datetime.date(2015, 12, 22),)]"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select min(DATE) first_successful_landing_outcome FROM BQQ96868.SPACEXTBL WHERE landing__outcome like '%Success%'"
   ]
  },
  {
   "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": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://bqq96868:***@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>booster_version</th>\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",
       "    <tr>\n",
       "        <td>F9 FT B1022</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 FT B1026</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('F9 FT  B1021.2',), ('F9 FT  B1031.2',), ('F9 FT B1022',), ('F9 FT B1026',)]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select distinct booster_version FROM BQQ96868.SPACEXTBL WHERE landing__outcome = 'Success (drone ship)' and payload_mass__kg_ between 4000 and 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": 32,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://bqq96868:***@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>mission_outcome</th>\n",
       "        <th>total</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": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select mission_outcome, count(*) total FROM BQQ96868.SPACEXTBL 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": 37,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://bqq96868:***@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL\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 B1048.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1049.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1049.5</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1049.7</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1051.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1051.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1051.6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1056.4</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1058.3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1060.2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "        <td>F9 B5 B1060.3</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('F9 B5 B1048.4',),\n",
       " ('F9 B5 B1048.5',),\n",
       " ('F9 B5 B1049.4',),\n",
       " ('F9 B5 B1049.5',),\n",
       " ('F9 B5 B1049.7',),\n",
       " ('F9 B5 B1051.3',),\n",
       " ('F9 B5 B1051.4',),\n",
       " ('F9 B5 B1051.6',),\n",
       " ('F9 B5 B1056.4',),\n",
       " ('F9 B5 B1058.3',),\n",
       " ('F9 B5 B1060.2',),\n",
       " ('F9 B5 B1060.3',)]"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select distinct booster_version from BQQ96868.SPACEXTBL where payload_mass__kg_ = (select max(payload_mass__kg_) max_payload_mass FROM BQQ96868.SPACEXTBL)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 9\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": 41,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://bqq96868:***@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>booster_version</th>\n",
       "        <th>launch_site</th>\n",
       "        <th>landing__outcome</th>\n",
       "    </tr>\n",
       "    <tr>\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>F9 v1.1 B1015</td>\n",
       "        <td>CCAFS LC-40</td>\n",
       "        <td>Failure (drone ship)</td>\n",
       "    </tr>\n",
       "</table>"
      ],
      "text/plain": [
       "[('F9 v1.1 B1012', 'CCAFS LC-40', 'Failure (drone ship)'),\n",
       " ('F9 v1.1 B1015', 'CCAFS LC-40', 'Failure (drone ship)')]"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select booster_version, launch_site, landing__outcome from BQQ96868.SPACEXTBL WHERE landing__outcome = 'Failure (drone ship)' and substr(DATE, 1, 4) = '2015'"
   ]
  },
  {
   "cell_type": "markdown",
   "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": 49,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * ibm_db_sa://bqq96868:***@b0aebb68-94fa-46ec-a1fc-1c999edb6187.c3n41cmd0nqnrk39u98g.databases.appdomain.cloud:31249/bludb;security=SSL\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <tr>\n",
       "        <th>landing__outcome</th>\n",
       "        <th>RANK</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": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select landing__outcome, count(*) Rank from BQQ96868.SPACEXTBL WHERE DATE between '2010-06-04' and '2017-03-20' group by landing__outcome order by count(*) desc"
   ]
  },
  {
   "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-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01&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-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01&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-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01&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-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01\">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-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01\">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",
    "| 2021-10-12 | 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",
   "metadata": {},
   "source": [
    "## <h3 align=\"center\"> © IBM Corporation 2021. All rights reserved. <h3/>\n"
   ]
  }
 ],
 "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": "3.10.4"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}