GH_jupyter-labs-eda-dataviz-v10.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<center>\n",
    "    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module_2/%20https:/cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/images/IDSNlogo.png\" width=\"300\" alt=\"cognitiveclass.ai logo\">\n",
    "</center>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **SpaceX  Falcon 9 First Stage Landing Prediction**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Assignment: Exploring and Preparing Data\n",
    "\n",
    "### Stephane Dedieu, rev. June 1st,  2022\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Estimated time needed: **70** minutes\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this assignment, we will predict if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is due to the fact that SpaceX can reuse the first stage.\n",
    "\n",
    "In this lab, you will perform Exploratory Data Analysis and Feature Engineering.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Falcon 9 first stage will land successfully\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0701EN-SkillsNetwork/api/Images/landing\\_1.gif)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Several examples of an unsuccessful landing are shown here:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0701EN-SkillsNetwork/api/Images/crash.gif)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Most unsuccessful landings are planned. Space X performs a controlled landing in the oceans.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Objectives\n",
    "\n",
    "Perform exploratory Data Analysis and Feature Engineering using `Pandas` and `Matplotlib`\n",
    "\n",
    "*   Exploratory Data Analysis\n",
    "*   Preparing Data  Feature Engineering\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "***\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Import Libraries and Define Auxiliary Functions\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We will import the following libraries the lab\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<style>.container { width:90% !important; }</style>"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "\n",
       "<style>\n",
       ".output_png {\n",
       "    display: table-cell;\n",
       "    text-align: center;\n",
       "    vertical-align: middle;\n",
       "}\n",
       "</style>\n"
      ],
      "text/plain": [
       "<IPython.core.display.HTML object>"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from IPython.display import display, HTML\n",
    "display(HTML(\"<style>.container { width:90% !important; }</style>\"))\n",
    "#-------  For centering figures \n",
    "from IPython.core.display import HTML\n",
    "HTML(\"\"\"\n",
    "<style>\n",
    ".output_png {\n",
    "    display: table-cell;\n",
    "    text-align: center;\n",
    "    vertical-align: middle;\n",
    "}\n",
    "</style>\n",
    "\"\"\")\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# andas is a software library written for the Python programming language for data manipulation and analysis.\n",
    "import pandas as pd\n",
    "#NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays\n",
    "import numpy as np\n",
    "# Matplotlib is a plotting library for python and pyplot gives us a MatLab like plotting framework. We will use this in our plotter function to plot data.\n",
    "import matplotlib.pyplot as plt\n",
    "#Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics\n",
    "import seaborn as sns"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exploratory Data Analysis\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's read the SpaceX dataset into a Pandas dataframe and print its summary\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FlightNumber</th>\n",
       "      <th>Date</th>\n",
       "      <th>BoosterVersion</th>\n",
       "      <th>PayloadMass</th>\n",
       "      <th>Orbit</th>\n",
       "      <th>LaunchSite</th>\n",
       "      <th>Outcome</th>\n",
       "      <th>Flights</th>\n",
       "      <th>GridFins</th>\n",
       "      <th>Reused</th>\n",
       "      <th>Legs</th>\n",
       "      <th>LandingPad</th>\n",
       "      <th>Block</th>\n",
       "      <th>ReusedCount</th>\n",
       "      <th>Serial</th>\n",
       "      <th>Longitude</th>\n",
       "      <th>Latitude</th>\n",
       "      <th>Class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>2010-06-04</td>\n",
       "      <td>Falcon 9</td>\n",
       "      <td>6104.959412</td>\n",
       "      <td>LEO</td>\n",
       "      <td>CCAFS SLC 40</td>\n",
       "      <td>None None</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>B0003</td>\n",
       "      <td>-80.577366</td>\n",
       "      <td>28.561857</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>2012-05-22</td>\n",
       "      <td>Falcon 9</td>\n",
       "      <td>525.000000</td>\n",
       "      <td>LEO</td>\n",
       "      <td>CCAFS SLC 40</td>\n",
       "      <td>None None</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>B0005</td>\n",
       "      <td>-80.577366</td>\n",
       "      <td>28.561857</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>2013-03-01</td>\n",
       "      <td>Falcon 9</td>\n",
       "      <td>677.000000</td>\n",
       "      <td>ISS</td>\n",
       "      <td>CCAFS SLC 40</td>\n",
       "      <td>None None</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>B0007</td>\n",
       "      <td>-80.577366</td>\n",
       "      <td>28.561857</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>2013-09-29</td>\n",
       "      <td>Falcon 9</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>PO</td>\n",
       "      <td>VAFB SLC 4E</td>\n",
       "      <td>False Ocean</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>B1003</td>\n",
       "      <td>-120.610829</td>\n",
       "      <td>34.632093</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>2013-12-03</td>\n",
       "      <td>Falcon 9</td>\n",
       "      <td>3170.000000</td>\n",
       "      <td>GTO</td>\n",
       "      <td>CCAFS SLC 40</td>\n",
       "      <td>None None</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>B1004</td>\n",
       "      <td>-80.577366</td>\n",
       "      <td>28.561857</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   FlightNumber        Date BoosterVersion  PayloadMass Orbit    LaunchSite  \\\n",
       "0             1  2010-06-04       Falcon 9  6104.959412   LEO  CCAFS SLC 40   \n",
       "1             2  2012-05-22       Falcon 9   525.000000   LEO  CCAFS SLC 40   \n",
       "2             3  2013-03-01       Falcon 9   677.000000   ISS  CCAFS SLC 40   \n",
       "3             4  2013-09-29       Falcon 9   500.000000    PO   VAFB SLC 4E   \n",
       "4             5  2013-12-03       Falcon 9  3170.000000   GTO  CCAFS SLC 40   \n",
       "\n",
       "       Outcome  Flights  GridFins  Reused   Legs LandingPad  Block  \\\n",
       "0    None None        1     False   False  False        NaN    1.0   \n",
       "1    None None        1     False   False  False        NaN    1.0   \n",
       "2    None None        1     False   False  False        NaN    1.0   \n",
       "3  False Ocean        1     False   False  False        NaN    1.0   \n",
       "4    None None        1     False   False  False        NaN    1.0   \n",
       "\n",
       "   ReusedCount Serial   Longitude   Latitude  Class  \n",
       "0            0  B0003  -80.577366  28.561857      0  \n",
       "1            0  B0005  -80.577366  28.561857      0  \n",
       "2            0  B0007  -80.577366  28.561857      0  \n",
       "3            0  B1003 -120.610829  34.632093      0  \n",
       "4            0  B1004  -80.577366  28.561857      0  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df=pd.read_csv(\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/datasets/dataset_part_2.csv\")\n",
    "\n",
    "# If you were unable to complete the previous lab correctly you can uncomment and load this csv\n",
    "# df = pd.read_csv('https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0701EN-SkillsNetwork/api/dataset_part_2.csv')\n",
    "\n",
    "df.head(5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's try to see how the `FlightNumber` (indicating the continuous launch attempts.) and `Payload` variables would affect the launch outcome.\n",
    "\n",
    "We can plot out the <code>FlightNumber</code> vs. <code>PayloadMass</code>and overlay the outcome of the launch. We see that as the flight number increases, the first stage is more likely to land successfully. The payload mass is also important; it seems the more massive the payload, the less likely the first stage will return.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1341.72x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#sns.catplot(y=\"PayloadMass\", x=\"FlightNumber\", hue=\"Class\", data=df, aspect = 5)\n",
    "#plt.xlabel(\"Flight Number\",fontsize=20)\n",
    "#plt.ylabel(\"Pay load Mass (kg)\",fontsize=20)\n",
    "#plt.show()\n",
    "\n",
    "sns.set(font_scale = 1)\n",
    "sns.catplot(y=\"PayloadMass\", x=\"FlightNumber\", hue=\"Class\", data=df, s=10,\n",
    "               alpha=0.5, linewidth=3, height=6, aspect=3)\n",
    "plt.title(\"Payload mass v. Flight number\",fontsize=20)\n",
    "plt.xlabel(\"Flight Number\",fontsize=20)\n",
    "plt.ylabel(\"Payload Mass\",fontsize=20)\n",
    "plt.show()\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We see that different launch sites have different success rates.  <code>CCAFS LC-40</code>, has a success rate of 60 %, while  <code>KSC LC-39A</code> and <code>VAFB SLC 4E</code> has a success rate of 77%.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, let's drill down to each site visualize its detailed launch records.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TASK 1: Visualize the relationship between Flight Number and Launch Site\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the function <code>catplot</code> to plot <code>FlightNumber</code> vs <code>LaunchSite</code>, set the  parameter <code>x</code>  parameter to <code>FlightNumber</code>,set the  <code>y</code> to <code>Launch Site</code> and set the parameter <code>hue</code> to <code>'class'</code>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1364.53x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a scatter point chart with x axis to be Flight Number and y axis to be the launch site, and hue to be the class value\n",
    "\n",
    "#sns.catplot(y=\"LaunchSite\", x=\"FlightNumber\", hue=\"Class\", kind=\"swarm\", data=df, aspect = 3)\n",
    "\n",
    "#sns.catplot(y=\"LaunchSite\", x=\"FlightNumber\", hue=\"Class\", kind=\"swarm\", data=df, s=10,\n",
    "#               alpha=0.5, linewidth=3, height=6, aspect=3)\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.catplot(y=\"LaunchSite\", x=\"FlightNumber\", hue=\"Class\", data=df, s=10,\n",
    "               alpha=0.5, linewidth=3, height=6, aspect=3)\n",
    "plt.title(\"Launch site v. Flight number\",fontsize=20)\n",
    "plt.xlabel(\"Flight Number\",fontsize=20)\n",
    "plt.ylabel(\"Launch Site\",fontsize=20)\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now try to explain the patterns you found in the Flight Number vs. Launch Site scatter point plots.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TASK 2: Visualize the relationship between Payload and Launch Site\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We also want to observe if there is any relationship between launch sites and their payload mass.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1364.53x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a scatter point chart with x axis to be Pay Load Mass (kg) and y axis to be the launch site, and hue to be the class value\n",
    "\n",
    "\n",
    "sns.set(font_scale = 1.5)\n",
    "sns.catplot(y=\"LaunchSite\", x=\"PayloadMass\", hue=\"Class\", data=df, s=10,\n",
    "               alpha=0.5, linewidth=3, height=6, aspect=3)\n",
    "plt.title(\"Launch site v. payload mass\",fontsize=20)\n",
    "plt.xlabel(\"Payload Mass (kg)\",fontsize=20)\n",
    "plt.ylabel(\"Launch Site\",fontsize=20)\n",
    "plt.show()\n",
    "\n",
    "\n",
    "\n",
    "\n",
    "\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now if you observe Payload Vs. Launch Site scatter point chart you will find for the VAFB-SLC  launchsite there are no  rockets  launched for  heavypayload mass(greater than 10000).\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TASK  3: Visualize the relationship between success rate of each orbit type\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we want to visually check if there are any relationship between success rate and orbit type.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's create a `bar chart` for the sucess rate of each orbit\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 864x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# HINT use groupby method on Orbit column and get the mean of Class column\n",
    "df.groupby(['Orbit']).mean()['Class'].plot(kind='bar', title=\"Success rate for each orbit\", width=0.75,\n",
    "                                           figsize=(12, 7), color=(0.5, 0.1, 0.1, 0.5), edgecolor = '#7eb54e')\n",
    "plt.xlabel(\"Orbit\",fontsize=15)\n",
    "plt.ylabel(\"Success Rate\",fontsize=15)\n",
    "plt.tight_layout()\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Analyze the ploted bar chart try to find which orbits have high sucess rate.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TASK  4: Visualize the relationship between FlightNumber and Orbit type\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For each orbit, we want to see if there is any relationship between FlightNumber and Orbit type.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1353.12x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a scatter point chart with x axis to be FlightNumber and y axis to be the Orbit, and hue to be the class value\n",
    "sns.set(font_scale = 1.25)\n",
    "sns.catplot(y=\"Orbit\", x=\"FlightNumber\", hue=\"Class\", data=df, s=10,\n",
    "               alpha=0.5, linewidth=2, height=6, aspect=3)\n",
    "plt.xlabel(\"Flight Number\",fontsize=20)\n",
    "plt.ylabel(\"Orbit\",fontsize=20)\n",
    "plt.title(\"Orbit v. Flight Number\",fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You should see that in the LEO orbit the Success appears related to the number of flights; on the other hand, there seems to be no relationship between flight number when in GTO orbit.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TASK  5: Visualize the relationship between Payload and Orbit type\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Similarly, we can plot the Payload vs. Orbit scatter point charts to reveal the relationship between Payload and Orbit type\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 1353.12x432 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a scatter point chart with x axis to be Payload and y axis to be the Orbit, and hue to be the class value\n",
    "sns.set(font_scale = 1.25)\n",
    "sns.catplot(y=\"Orbit\", x=\"PayloadMass\", hue=\"Class\", data=df, s=10,\n",
    "               alpha=0.5, linewidth=2, height=6, aspect=3)\n",
    "#sns.catplot(y=\"Orbit\", x=\"PayloadMass\", hue=\"Class\", data=df, aspect = 3)\n",
    "plt.xlabel(\"Payload Mass(Kg)\",fontsize=20)\n",
    "plt.ylabel(\"Orbit\",fontsize=20)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "With heavy payloads the successful landing or positive landing rate are more for Polar,LEO and ISS.\n",
    "\n",
    "However for GTO we cannot distinguish this well as both positive landing rate and negative landing(unsuccessful mission) are both there here.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TASK  6: Visualize the launch success yearly trend\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can plot a line chart with x axis to be <code>Year</code> and y axis to be average success rate, to get the average launch success trend.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The function will help you get the year from the date:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "# A function to Extract years from the date \n",
    "year=[]\n",
    "def Extract_year(date):\n",
    "    for i in df[\"Date\"]:\n",
    "        year.append(i.split(\"-\")[0])\n",
    "    return year\n",
    "    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot a line chart with x axis to be the extracted year and y axis to be the success rate\n",
    "df['Year'] = pd.DataFrame(Extract_year(df['Date'])).astype('int')\n",
    "sns.lineplot(x = df['Year'].unique() , y = df.groupby(['Year'])['Class'].mean()) \n",
    "#plt.xlabel(\"Years\",fontsize=20)\n",
    "#plt.ylabel(\"Success Rate\",fontsize=20)\n",
    "plt.xlabel(\"Year\",fontsize=12, fontweight='bold')\n",
    "plt.ylabel(\"Success Rate\",fontsize=12, fontweight='bold')\n",
    "#plt.plot(X,total_launches)\n",
    "plt.title(\"Success rate. SpaceX Falcon-9\", fontsize=15, fontweight='bold')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "you can observe that the sucess rate since 2013 kept increasing till 2020\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Features Engineering\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "By now, you should obtain some preliminary insights about how each important variable would affect the success rate, we will select the features that will be used in success prediction in the future module.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FlightNumber</th>\n",
       "      <th>PayloadMass</th>\n",
       "      <th>Orbit</th>\n",
       "      <th>LaunchSite</th>\n",
       "      <th>Flights</th>\n",
       "      <th>GridFins</th>\n",
       "      <th>Reused</th>\n",
       "      <th>Legs</th>\n",
       "      <th>LandingPad</th>\n",
       "      <th>Block</th>\n",
       "      <th>ReusedCount</th>\n",
       "      <th>Serial</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>6104.959412</td>\n",
       "      <td>LEO</td>\n",
       "      <td>CCAFS SLC 40</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>B0003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>525.000000</td>\n",
       "      <td>LEO</td>\n",
       "      <td>CCAFS SLC 40</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>B0005</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>677.000000</td>\n",
       "      <td>ISS</td>\n",
       "      <td>CCAFS SLC 40</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>B0007</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>PO</td>\n",
       "      <td>VAFB SLC 4E</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>B1003</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>3170.000000</td>\n",
       "      <td>GTO</td>\n",
       "      <td>CCAFS SLC 40</td>\n",
       "      <td>1</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>False</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>B1004</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   FlightNumber  PayloadMass Orbit    LaunchSite  Flights  GridFins  Reused  \\\n",
       "0             1  6104.959412   LEO  CCAFS SLC 40        1     False   False   \n",
       "1             2   525.000000   LEO  CCAFS SLC 40        1     False   False   \n",
       "2             3   677.000000   ISS  CCAFS SLC 40        1     False   False   \n",
       "3             4   500.000000    PO   VAFB SLC 4E        1     False   False   \n",
       "4             5  3170.000000   GTO  CCAFS SLC 40        1     False   False   \n",
       "\n",
       "    Legs LandingPad  Block  ReusedCount Serial  \n",
       "0  False        NaN    1.0            0  B0003  \n",
       "1  False        NaN    1.0            0  B0005  \n",
       "2  False        NaN    1.0            0  B0007  \n",
       "3  False        NaN    1.0            0  B1003  \n",
       "4  False        NaN    1.0            0  B1004  "
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "features = df[['FlightNumber', 'PayloadMass', 'Orbit', 'LaunchSite', 'Flights', 'GridFins', 'Reused', 'Legs', 'LandingPad', 'Block', 'ReusedCount', 'Serial']]\n",
    "features.head()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TASK  7: Create dummy variables to categorical columns\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use the function <code>get_dummies</code> and <code>features</code> dataframe to apply OneHotEncoder to the column <code>Orbits</code>, <code>LaunchSite</code>, <code>LandingPad</code>, and <code>Serial</code>. Assign the value to the variable <code>features_one_hot</code>, display the results using the method head. Your result dataframe must include all features including the encoded ones.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>FlightNumber</th>\n",
       "      <th>PayloadMass</th>\n",
       "      <th>Flights</th>\n",
       "      <th>Block</th>\n",
       "      <th>ReusedCount</th>\n",
       "      <th>Orbit_ES-L1</th>\n",
       "      <th>Orbit_GEO</th>\n",
       "      <th>Orbit_GTO</th>\n",
       "      <th>Orbit_HEO</th>\n",
       "      <th>Orbit_ISS</th>\n",
       "      <th>...</th>\n",
       "      <th>Serial_B1058</th>\n",
       "      <th>Serial_B1059</th>\n",
       "      <th>Serial_B1060</th>\n",
       "      <th>Serial_B1062</th>\n",
       "      <th>GridFins_False</th>\n",
       "      <th>GridFins_True</th>\n",
       "      <th>Reused_False</th>\n",
       "      <th>Reused_True</th>\n",
       "      <th>Legs_False</th>\n",
       "      <th>Legs_True</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>6104.959412</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2</td>\n",
       "      <td>525.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3</td>\n",
       "      <td>677.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4</td>\n",
       "      <td>500.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>5</td>\n",
       "      <td>3170.000000</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 83 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   FlightNumber  PayloadMass  Flights  Block  ReusedCount  Orbit_ES-L1  \\\n",
       "0             1  6104.959412        1    1.0            0            0   \n",
       "1             2   525.000000        1    1.0            0            0   \n",
       "2             3   677.000000        1    1.0            0            0   \n",
       "3             4   500.000000        1    1.0            0            0   \n",
       "4             5  3170.000000        1    1.0            0            0   \n",
       "\n",
       "   Orbit_GEO  Orbit_GTO  Orbit_HEO  Orbit_ISS  ...  Serial_B1058  \\\n",
       "0          0          0          0          0  ...             0   \n",
       "1          0          0          0          0  ...             0   \n",
       "2          0          0          0          1  ...             0   \n",
       "3          0          0          0          0  ...             0   \n",
       "4          0          1          0          0  ...             0   \n",
       "\n",
       "   Serial_B1059  Serial_B1060  Serial_B1062  GridFins_False  GridFins_True  \\\n",
       "0             0             0             0               1              0   \n",
       "1             0             0             0               1              0   \n",
       "2             0             0             0               1              0   \n",
       "3             0             0             0               1              0   \n",
       "4             0             0             0               1              0   \n",
       "\n",
       "   Reused_False  Reused_True  Legs_False  Legs_True  \n",
       "0             1            0           1          0  \n",
       "1             1            0           1          0  \n",
       "2             1            0           1          0  \n",
       "3             1            0           1          0  \n",
       "4             1            0           1          0  \n",
       "\n",
       "[5 rows x 83 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# HINT: Use get_dummies() function on the categorical columns\n",
    "features_one_hot = pd.get_dummies(features, columns=['Orbit','LaunchSite','LandingPad','Serial','GridFins','Reused','Legs'])\n",
    "features_one_hot.head()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### TASK  8: Cast all numeric columns to `float64`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that our <code>features_one_hot</code> dataframe only contains numbers cast the entire dataframe to variable type <code>float64</code>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "FlightNumber     float64\n",
       "PayloadMass      float64\n",
       "Flights          float64\n",
       "Block            float64\n",
       "ReusedCount      float64\n",
       "                  ...   \n",
       "GridFins_True    float64\n",
       "Reused_False     float64\n",
       "Reused_True      float64\n",
       "Legs_False       float64\n",
       "Legs_True        float64\n",
       "Length: 83, dtype: object"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# HINT: use astype function\n",
    "features_one_hot.astype('float64').dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can now export it to a <b>CSV</b> for the next section,but to make the answers consistent, in the next lab we will provide data in a pre-selected date range.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<code>features_one_hot.to_csv('dataset_part\\_3.csv', index=False)</code>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Authors\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://www.linkedin.com/in/joseph-s-50398b136/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01\">Joseph Santarcangelo</a> has a PhD in Electrical Engineering, his research focused on using machine learning, signal processing, and computer vision to determine how videos impact human cognition. Joseph has been working for IBM since he completed his PhD.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "<a href=\"https://www.linkedin.com/in/nayefaboutayoun/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01\">Nayef Abou Tayoun</a> is a Data Scientist at IBM and pursuing a Master of Management in Artificial intelligence degree at Queen's University.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Change Log\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "| Date (YYYY-MM-DD) | Version | Changed By    | Change Description      |\n",
    "| ----------------- | ------- | ------------- | ----------------------- |\n",
    "| 2021-10-12        | 1.1     | Lakshmi Holla | Modified markdown       |\n",
    "| 2020-09-20        | 1.0     | Joseph        | Modified Multiple Areas |\n",
    "| 2020-11-10        | 1.1     | Nayef         | updating the input data |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright © 2020 IBM Corporation. All rights reserved.\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": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}