jupyter-labs-eda-sql-coursera_sqllite.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-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",
   "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",
   "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": "code",
   "execution_count": 1,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Collecting sqlalchemy==1.3.9\n",
      "  Downloading SQLAlchemy-1.3.9.tar.gz (6.0 MB)\n",
      "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m6.0/6.0 MB\u001b[0m \u001b[31m62.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m00:01\u001b[0m00:01\u001b[0m\n",
      "\u001b[?25h  Preparing metadata (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25hBuilding wheels for collected packages: sqlalchemy\n",
      "  Building wheel for sqlalchemy (setup.py) ... \u001b[?25ldone\n",
      "\u001b[?25h  Created wheel for sqlalchemy: filename=SQLAlchemy-1.3.9-cp37-cp37m-linux_x86_64.whl size=1159121 sha256=f4bed3070667e19bc24f80656c543b28033403caf65953c053f71b88e868cfad\n",
      "  Stored in directory: /home/jupyterlab/.cache/pip/wheels/03/71/13/010faf12246f72dc76b4150e6e599d13a85b4435e06fb9e51f\n",
      "Successfully built sqlalchemy\n",
      "Installing collected packages: sqlalchemy\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",
      "Successfully installed sqlalchemy-1.3.9\n"
     ]
    }
   ],
   "source": [
    "!pip install sqlalchemy==1.3.9\n"
   ]
  },
  {
   "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": 2,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "%load_ext sql"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "import csv, sqlite3\n",
    "\n",
    "con = sqlite3.connect(\"my_data1.db\")\n",
    "cur = con.cursor()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "!pip install -q pandas==1.1.5"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'Connected: @my_data1.db'"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql sqlite:///my_data1.db"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "/home/jupyterlab/conda/envs/python/lib/python3.7/site-packages/pandas/core/generic.py:2882: UserWarning: The spaces in these column names will not be changed. In pandas versions < 0.14, spaces were converted to underscores.\n",
      "  both result in 0.1234 being formatted as 0.12.\n"
     ]
    }
   ],
   "source": [
    "import pandas as pd\n",
    "df = pd.read_csv(\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_2/data/Spacex.csv\")\n",
    "df.to_sql(\"SPACEXTBL\", con, if_exists='replace', index=False,method=\"multi\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Tasks\n",
    "\n",
    "Now write and execute SQL queries to solve the assignment tasks.\n",
    "\n",
    "**Note: If the column names are in mixed case enclose it in double quotes\n",
    "   For Example \"Landing_Outcome\"**\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": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///my_data1.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Launch_Site</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\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>None</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('CCAFS LC-40',),\n",
       " ('VAFB SLC-4E',),\n",
       " ('KSC LC-39A',),\n",
       " ('CCAFS SLC-40',),\n",
       " (None,)]"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select distinct(Launch_site) from SPACEXTBL"
   ]
  },
  {
   "cell_type": "markdown",
   "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": 14,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///my_data1.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\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",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>06/04/2010</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>0.0</td>\n",
       "            <td>LEO</td>\n",
       "            <td>SpaceX</td>\n",
       "            <td>Success</td>\n",
       "            <td>Failure (parachute)</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>12/08/2010</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>0.0</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>22/05/2012</td>\n",
       "            <td>7:44:00</td>\n",
       "            <td>F9 v1.0  B0005</td>\n",
       "            <td>CCAFS LC-40</td>\n",
       "            <td>Dragon demo flight C2</td>\n",
       "            <td>525.0</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>10/08/2012</td>\n",
       "            <td>0:35:00</td>\n",
       "            <td>F9 v1.0  B0006</td>\n",
       "            <td>CCAFS LC-40</td>\n",
       "            <td>SpaceX CRS-1</td>\n",
       "            <td>500.0</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>03/01/2013</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>677.0</td>\n",
       "            <td>LEO (ISS)</td>\n",
       "            <td>NASA (CRS)</td>\n",
       "            <td>Success</td>\n",
       "            <td>No attempt</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('06/04/2010', '18:45:00', 'F9 v1.0  B0003', 'CCAFS LC-40', 'Dragon Spacecraft Qualification Unit', 0.0, 'LEO', 'SpaceX', 'Success', 'Failure (parachute)'),\n",
       " ('12/08/2010', '15:43:00', 'F9 v1.0  B0004', 'CCAFS LC-40', 'Dragon demo flight C1, two CubeSats, barrel of Brouere cheese', 0.0, 'LEO (ISS)', 'NASA (COTS) NRO', 'Success', 'Failure (parachute)'),\n",
       " ('22/05/2012', '7:44:00', 'F9 v1.0  B0005', 'CCAFS LC-40', 'Dragon demo flight C2', 525.0, 'LEO (ISS)', 'NASA (COTS)', 'Success', 'No attempt'),\n",
       " ('10/08/2012', '0:35:00', 'F9 v1.0  B0006', 'CCAFS LC-40', 'SpaceX CRS-1', 500.0, 'LEO (ISS)', 'NASA (CRS)', 'Success', 'No attempt'),\n",
       " ('03/01/2013', '15:10:00', 'F9 v1.0  B0007', 'CCAFS LC-40', 'SpaceX CRS-2', 677.0, 'LEO (ISS)', 'NASA (CRS)', 'Success', 'No attempt')]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "select * from SPACEXTBL where Launch_site like 'CCA%' LIMIT 5"
   ]
  },
  {
   "cell_type": "markdown",
   "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": 18,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///my_data1.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>sum(PAYLOAD_MASS__KG_)</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>45596.0</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(45596.0,)]"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select sum(PAYLOAD_MASS__KG_) from SPACEXTBL where Customer = 'NASA (CRS)'"
   ]
  },
  {
   "cell_type": "markdown",
   "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": 23,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///my_data1.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>avg(PAYLOAD_MASS__KG_)</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>2928.4</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(2928.4,)]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select avg(PAYLOAD_MASS__KG_) from SPACEXTBL 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",
    "\n",
    "_Hint:Use min function_ \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///my_data1.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>First_Successful_Landing</th>\n",
       "            <th>Landing_Outcome</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>22/12/2015</td>\n",
       "            <td>Success (ground pad)</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('22/12/2015', 'Success (ground pad)')]"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#to check various distinct landing outcomes\n",
    "#%sql select DISTINCT(Landing_Outcome) from SPACEXTBL\n",
    "\n",
    "%sql select Date as First_Successful_Landing, Landing_Outcome from SPACEXTBL where Landing_Outcome = 'Success (ground pad)' order by Date desc LIMIT 1\n",
    "\n",
    "#formula using min function\n",
    "# %sql select min(date) as First_Successful_landing from SPACEXTBL where Landing_Outcome like 'Success (ground pad)'"
   ]
  },
  {
   "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": 56,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///my_data1.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Booster_Version</th>\n",
       "            <th>PAYLOAD_MASS__KG_</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>F9 FT B1022</td>\n",
       "            <td>4696.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 FT B1026</td>\n",
       "            <td>4600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 FT  B1021.2</td>\n",
       "            <td>5300.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 FT  B1031.2</td>\n",
       "            <td>5200.0</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('F9 FT B1022', 4696.0),\n",
       " ('F9 FT B1026', 4600.0),\n",
       " ('F9 FT  B1021.2', 5300.0),\n",
       " ('F9 FT  B1031.2', 5200.0)]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# selected payload mass for verification\n",
    "%sql SELECT Booster_Version, PAYLOAD_MASS__KG_ from SPACEXTBL where Landing_Outcome like 'Success (drone ship)'  and PAYLOAD_MASS__KG_ between 4000 and 6000"
   ]
  },
  {
   "cell_type": "markdown",
   "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": 58,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///my_data1.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Mission_Outcome</th>\n",
       "            <th>Total</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>None</td>\n",
       "            <td>0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Failure (in flight)</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Success</td>\n",
       "            <td>98</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Success </td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Success (payload status unclear)</td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[(None, 0),\n",
       " ('Failure (in flight)', 1),\n",
       " ('Success', 98),\n",
       " ('Success ', 1),\n",
       " ('Success (payload status unclear)', 1)]"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql select Mission_Outcome, count(Mission_Outcome) as Total from SPACEXTBL group by Mission_Outcome"
   ]
  },
  {
   "cell_type": "markdown",
   "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": 61,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///my_data1.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>Booster_Version</th>\n",
       "            <th>Payload_Mass</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1048.4</td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1049.4</td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1051.3</td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1056.4</td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1048.5</td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1051.4</td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1049.5</td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1060.2 </td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1058.3 </td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1051.6</td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1060.3</td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>F9 B5 B1049.7 </td>\n",
       "            <td>15600.0</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('F9 B5 B1048.4', 15600.0),\n",
       " ('F9 B5 B1049.4', 15600.0),\n",
       " ('F9 B5 B1051.3', 15600.0),\n",
       " ('F9 B5 B1056.4', 15600.0),\n",
       " ('F9 B5 B1048.5', 15600.0),\n",
       " ('F9 B5 B1051.4', 15600.0),\n",
       " ('F9 B5 B1049.5', 15600.0),\n",
       " ('F9 B5 B1060.2 ', 15600.0),\n",
       " ('F9 B5 B1058.3 ', 15600.0),\n",
       " ('F9 B5 B1051.6', 15600.0),\n",
       " ('F9 B5 B1060.3', 15600.0),\n",
       " ('F9 B5 B1049.7 ', 15600.0)]"
      ]
     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%sql SELECT Booster_Version, PAYLOAD_MASS__KG_ as Payload_Mass from SPACEXTBL where PAYLOAD_MASS__KG_ in (select max(PAYLOAD_MASS__KG_) from SPACEXTBL)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 9\n",
    "\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",
    "\n",
    "**Note: SQLLite does not support monthnames. So you need to use  substr(Date, 4, 2) as month to get the months and substr(Date,7,4)='2015' for year.**\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///my_data1.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>month_name</th>\n",
       "            <th>month</th>\n",
       "            <th>Landing_Outcome</th>\n",
       "            <th>Booster_Version</th>\n",
       "            <th>Launch_Site</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>February</td>\n",
       "            <td>02</td>\n",
       "            <td>No attempt</td>\n",
       "            <td>F9 v1.1 B1014</td>\n",
       "            <td>CCAFS LC-40</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>April</td>\n",
       "            <td>04</td>\n",
       "            <td>Failure (drone ship)</td>\n",
       "            <td>F9 v1.1 B1015</td>\n",
       "            <td>CCAFS LC-40</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>April</td>\n",
       "            <td>04</td>\n",
       "            <td>No attempt</td>\n",
       "            <td>F9 v1.1 B1016</td>\n",
       "            <td>CCAFS LC-40</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>June</td>\n",
       "            <td>06</td>\n",
       "            <td>Precluded (drone ship)</td>\n",
       "            <td>F9 v1.1 B1018</td>\n",
       "            <td>CCAFS LC-40</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>October</td>\n",
       "            <td>10</td>\n",
       "            <td>Failure (drone ship)</td>\n",
       "            <td>F9 v1.1 B1012</td>\n",
       "            <td>CCAFS LC-40</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>November</td>\n",
       "            <td>11</td>\n",
       "            <td>Controlled (ocean)</td>\n",
       "            <td>F9 v1.1 B1013</td>\n",
       "            <td>CCAFS LC-40</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('February', '02', 'No attempt', 'F9 v1.1 B1014', 'CCAFS LC-40'),\n",
       " ('April', '04', 'Failure (drone ship)', 'F9 v1.1 B1015', 'CCAFS LC-40'),\n",
       " ('April', '04', 'No attempt', 'F9 v1.1 B1016', 'CCAFS LC-40'),\n",
       " ('June', '06', 'Precluded (drone ship)', 'F9 v1.1 B1018', 'CCAFS LC-40'),\n",
       " ('October', '10', 'Failure (drone ship)', 'F9 v1.1 B1012', 'CCAFS LC-40'),\n",
       " ('November', '11', 'Controlled (ocean)', 'F9 v1.1 B1013', 'CCAFS LC-40')]"
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "\n",
    "SELECT \n",
    "  CASE\n",
    "    WHEN substr(Date, 4,2) = '01' THEN 'January'\n",
    "    WHEN substr(Date, 4,2) = '02' THEN 'February'\n",
    "    WHEN substr(Date, 4,2) = '03' THEN 'March'\n",
    "    WHEN substr(Date, 4,2) = '04' THEN 'April'\n",
    "    WHEN substr(Date, 4,2) = '05' THEN 'May'\n",
    "    WHEN substr(Date, 4,2) = '06' THEN 'June'\n",
    "    WHEN substr(Date, 4,2) = '07' THEN 'July'\n",
    "    WHEN substr(Date, 4,2) = '08' THEN 'August'\n",
    "    WHEN substr(Date, 4,2) = '09' THEN 'September'\n",
    "    WHEN substr(Date, 4,2) = '10' THEN 'October'\n",
    "    WHEN substr(Date, 4,2) = '11' THEN 'November'\n",
    "    WHEN substr(Date, 4,2) = '12' THEN 'December'\n",
    "  END AS month_name,\n",
    "  substr(Date, 4,2) as month, Landing_outcome, Booster_Version, Launch_Site from SPACEXTBL where substr(Date,7,4)='2015' and Landing_Outcome not like '%Success%' order by month"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Task 10\n",
    "\n",
    "\n",
    "\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": 91,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      " * sqlite:///my_data1.db\n",
      "Done.\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<table>\n",
       "    <thead>\n",
       "        <tr>\n",
       "            <th>OUTCOME</th>\n",
       "            <th>TOTAL</th>\n",
       "        </tr>\n",
       "    </thead>\n",
       "    <tbody>\n",
       "        <tr>\n",
       "            <td>Success</td>\n",
       "            <td>20</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>No attempt</td>\n",
       "            <td>10</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Success (drone ship)</td>\n",
       "            <td>8</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Success (ground pad)</td>\n",
       "            <td>7</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Failure (drone ship)</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Failure</td>\n",
       "            <td>3</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Failure (parachute)</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>Controlled (ocean)</td>\n",
       "            <td>2</td>\n",
       "        </tr>\n",
       "        <tr>\n",
       "            <td>No attempt </td>\n",
       "            <td>1</td>\n",
       "        </tr>\n",
       "    </tbody>\n",
       "</table>"
      ],
      "text/plain": [
       "[('Success', 20),\n",
       " ('No attempt', 10),\n",
       " ('Success (drone ship)', 8),\n",
       " ('Success (ground pad)', 7),\n",
       " ('Failure (drone ship)', 3),\n",
       " ('Failure', 3),\n",
       " ('Failure (parachute)', 2),\n",
       " ('Controlled (ocean)', 2),\n",
       " ('No attempt ', 1)]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "%%sql \n",
    "\n",
    "select Landing_Outcome as OUTCOME,count(Landing_Outcome) as TOTAL \n",
    "from SPACEXTBL \n",
    "where date between '04-06-2010' and '20-03-2017' \n",
    "Group by landing_outcome order by total 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?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",
   "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",
    "| 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"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}