lab_jupyter_launch_site_location.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {
    "id": "3n3ltmfnrqpi",
    "outputId": "a2d4f52a-2fb7-4668-f5f0-fe862aab8eb0",
    "papermill": {
     "duration": 1.489571,
     "end_time": "2020-09-19T06:26:57.168979",
     "exception": false,
     "start_time": "2020-09-19T06:26:55.679408",
     "status": "completed"
    },
    "tags": []
   },
   "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"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# **Launch Sites Locations Analysis with Folium**\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Estimated time needed: **40** minutes\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The launch success rate may depend on many factors such as payload mass, orbit type, and so on. It may also depend on the location and proximities of a launch site, i.e., the initial position of rocket trajectories. Finding an optimal location for building a launch site certainly involves many factors and hopefully we could discover some of the factors by analyzing the existing launch site locations.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In the previous exploratory data analysis labs, you have visualized the SpaceX launch dataset using `matplotlib` and `seaborn` and discovered some preliminary correlations between the launch site and success rates. In this lab, you will be performing more interactive visual analytics using `Folium`.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Objectives\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "This lab contains the following tasks:\n",
    "\n",
    "*   **TASK 1:** Mark all launch sites on a map\n",
    "*   **TASK 2:** Mark the success/failed launches for each site on the map\n",
    "*   **TASK 3:** Calculate the distances between a launch site to its proximities\n",
    "\n",
    "After completed the above tasks, you should be able to find some geographical patterns about launch sites.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first import required Python packages for this lab:\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",
      "Requirement already satisfied: folium in /gnu/store/b9mq6wa39q8iv7xq69c1glalxxdivh8z-profile/lib/python3.9/site-packages (0.0.0)\n",
      "Requirement already satisfied: branca>=0.3.0 in /gnu/store/b9mq6wa39q8iv7xq69c1glalxxdivh8z-profile/lib/python3.9/site-packages (from folium) (0.3.1)\n",
      "Requirement already satisfied: jinja2>=2.9 in /gnu/store/zc8b68mc705c4q7ay33fjbzmkjm306bd-python-jinja2-3.1.1/lib/python3.9/site-packages (from folium) (3.1.1)\n",
      "Requirement already satisfied: numpy in /gnu/store/baasq7l00bcnvzd5ba06dq4rnhb0hmzv-python-numpy-1.21.6/lib/python3.9/site-packages (from folium) (1.21.6)\n",
      "Requirement already satisfied: requests in /gnu/store/16phcgf2639b09r28xch3x9cgy1yd4kj-python-requests-2.27.1/lib/python3.9/site-packages (from folium) (2.27.1)\n",
      "Requirement already satisfied: six in /gnu/store/3bjjwwwbniv92j0cg8kp1h5k2q3c42n3-python-six-1.16.0/lib/python3.9/site-packages (from branca>=0.3.0->folium) (1.16.0)\n",
      "Requirement already satisfied: MarkupSafe>=2.0 in /gnu/store/3l6b18r0jg777dvxi9j2j6ndy712il16-python-markupsafe-2.0.1/lib/python3.9/site-packages (from jinja2>=2.9->folium) (2.0.1)\n",
      "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /gnu/store/9bzm9zhbw6zk9ynhzx1qhzhzardd419w-python-urllib3-1.26.8/lib/python3.9/site-packages (from requests->folium) (1.26.8)\n",
      "Requirement already satisfied: certifi>=2017.4.17 in /gnu/store/sgs95j3njwkkw752iy4i8rycn37cs69z-python-certifi-2021.10.8/lib/python3.9/site-packages (from requests->folium) (2021.10.8)\n",
      "Requirement already satisfied: charset_normalizer~=2.0.0 in /gnu/store/bqnf63plzf2gwqa6mw0wjhca41hc0nh3-python-charset-normalizer-2.0.11/lib/python3.9/site-packages (from requests->folium) (2.0.11)\n",
      "Requirement already satisfied: idna<4,>=2.5 in /gnu/store/hj74j5jjqr55qy8ldvs23rlxanr3f1l7-python-idna-3.3/lib/python3.9/site-packages (from requests->folium) (3.3)\n",
      "\u001b[33mWARNING: You are using pip version 21.2.4; however, version 22.2.2 is available.\n",
      "You should consider upgrading via the '/gnu/store/7ps5mf7251wd2zdsd3n5g7njilpkx4ai-python-3.9.9/bin/python3.9 -m pip install --upgrade pip' command.\u001b[0m\n",
      "Defaulting to user installation because normal site-packages is not writeable\n",
      "Requirement already satisfied: wget in /gnu/store/b9mq6wa39q8iv7xq69c1glalxxdivh8z-profile/lib/python3.9/site-packages (3.2)\n",
      "\u001b[33mWARNING: You are using pip version 21.2.4; however, version 22.2.2 is available.\n",
      "You should consider upgrading via the '/gnu/store/7ps5mf7251wd2zdsd3n5g7njilpkx4ai-python-3.9.9/bin/python3.9 -m pip install --upgrade pip' command.\u001b[0m\n"
     ]
    }
   ],
   "source": [
    "!pip3 install folium\n",
    "!pip3 install wget"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "import folium\n",
    "import wget\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Import folium MarkerCluster plugin\n",
    "from folium.plugins import MarkerCluster\n",
    "# Import folium MousePosition plugin\n",
    "from folium.plugins import MousePosition\n",
    "# Import folium DivIcon plugin\n",
    "from folium.features import DivIcon"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "If you need to refresh your memory about folium, you may download and refer to this previous folium lab:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Generating Maps with Python](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/labs/module\\_3/DV0101EN-3-5-1-Generating-Maps-in-Python-py-v2.0.ipynb)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Task 1: Mark all launch sites on a map\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "First, let's try to add each site's location on a map using site's latitude and longitude coordinates\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following dataset with the name `spacex_launch_geo.csv` is an augmented dataset with latitude and longitude added for each site.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\r",
      "  0% [                                                                                ]    0 / 7710\r",
      "100% [................................................................................] 7710 / 7710"
     ]
    }
   ],
   "source": [
    "# Download and read the `spacex_launch_geo.csv`\n",
    "spacex_csv_file = wget.download('https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/datasets/spacex_launch_geo.csv')\n",
    "spacex_df=pd.read_csv(spacex_csv_file)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, you can take a look at what are the coordinates for each site.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Launch Site</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>CCAFS LC-40</td>\n",
       "      <td>28.562302</td>\n",
       "      <td>-80.577356</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>KSC LC-39A</td>\n",
       "      <td>28.573255</td>\n",
       "      <td>-80.646895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>VAFB SLC-4E</td>\n",
       "      <td>34.632834</td>\n",
       "      <td>-120.610745</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Launch Site        Lat        Long\n",
       "0   CCAFS LC-40  28.562302  -80.577356\n",
       "1  CCAFS SLC-40  28.563197  -80.576820\n",
       "2    KSC LC-39A  28.573255  -80.646895\n",
       "3   VAFB SLC-4E  34.632834 -120.610745"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Select relevant sub-columns: `Launch Site`, `Lat(Latitude)`, `Long(Longitude)`, `class`\n",
    "spacex_df = spacex_df[['Launch Site', 'Lat', 'Long', 'class']]\n",
    "launch_sites_df = spacex_df.groupby(['Launch Site'], as_index=False).first()\n",
    "launch_sites_df = launch_sites_df[['Launch Site', 'Lat', 'Long']]\n",
    "launch_sites_df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Above coordinates are just plain numbers that can not give you any intuitive insights about where are those launch sites. If you are very good at geography, you can interpret those numbers directly in your mind. If not, that's fine too. Let's visualize those locations by pinning them on a map.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We first need to create a folium `Map` object, with an initial center location to be NASA Johnson Space Center at Houston, Texas.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Start location is NASA Johnson Space Center\n",
    "nasa_coordinate = [29.559684888503615, -95.0830971930759]\n",
    "site_map = folium.Map(location=nasa_coordinate, zoom_start=10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We could use `folium.Circle` to add a highlighted circle area with a text label on a specific coordinate. For example,\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
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style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f02acf1bd90>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a blue circle at NASA Johnson Space Center's coordinate with a popup label showing its name\n",
    "circle = folium.Circle(nasa_coordinate, radius=1000, color='#d35400', fill=True).add_child(folium.Popup('NASA Johnson Space Center'))\n",
    "# Create a blue circle at NASA Johnson Space Center's coordinate with a icon showing its name\n",
    "marker = folium.map.Marker(\n",
    "    nasa_coordinate,\n",
    "    # Create an icon as a text label\n",
    "    icon=DivIcon(\n",
    "        icon_size=(20,20),\n",
    "        icon_anchor=(0,0),\n",
    "        html='<div style=\"font-size: 12; color:#d35400;\"><b>%s</b></div>' % 'NASA JSC',\n",
    "        )\n",
    "    )\n",
    "site_map.add_child(circle)\n",
    "site_map.add_child(marker)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "and you should find a small yellow circle near the city of Houston and you can zoom-in to see a larger circle.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, let's add a circle for each launch site in data frame `launch_sites`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*TODO:*  Create and add `folium.Circle` and `folium.Marker` for each launch site on the site map\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An example of folium.Circle:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`folium.Circle(coordinate, radius=1000, color='#000000', fill=True).add_child(folium.Popup(...))`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "An example of folium.Marker:\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`folium.map.Marker(coordinate, icon=DivIcon(icon_size=(20,20),icon_anchor=(0,0), html='<div style=\"font-size: 12; color:#d35400;\"><b>%s</b></div>' % 'label', ))`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "1\n",
      "2\n",
      "3\n"
     ]
    },
    {
     "data": {
      "text/html": [
       "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><iframe src=\"data:text/html;charset=utf-8;base64,<!DOCTYPE html>
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    <meta http-equiv="content-type" content="text/html; charset=UTF-8" />
    
        <script>
            L_NO_TOUCH = false;
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        </script>
    
    <style>html, body {width: 100%;height: 100%;margin: 0;padding: 0;}</style>
    <style>#map {position:absolute;top:0;bottom:0;right:0;left:0;}</style>
    <script src="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.js"></script>
    <script src="https://code.jquery.com/jquery-1.12.4.min.js"></script>
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    <script src="https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js"></script>
    <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/leaflet@1.6.0/dist/leaflet.css"/>
    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/bootstrap/3.2.0/css/bootstrap.min.css"/>
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    <link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.6.3/css/font-awesome.min.css"/>
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    <link rel="stylesheet" href="https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css"/>
    
            <meta name="viewport" content="width=device-width,
                initial-scale=1.0, maximum-scale=1.0, user-scalable=no" />
            <style>
                #map_1f244dca6892481a847dd34fa47f8a41 {
                    position: relative;
                    width: 100.0%;
                    height: 100.0%;
                    left: 0.0%;
                    top: 0.0%;
                }
            </style>
        
</head>
<body>    
    
            <div class="folium-map" id="map_1f244dca6892481a847dd34fa47f8a41" ></div>
        
</body>
<script>    
    
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                    crs: L.CRS.EPSG3857,
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            );

            

        
    
            var tile_layer_476240f22bb147658f5bc8b05fa7d71b = L.tileLayer(
                "https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png",
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            ).addTo(map_1f244dca6892481a847dd34fa47f8a41);
        
    
            var marker_22f51e3adfd4415bbf5fe9182d1ae461 = L.marker(
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        ;

        
    
    
            var marker_9b8cfcc1b00c46ed87e4550aba75251b = L.marker(
                [28.56319718, -80.57682003],
                {}
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        var popup_1a8c20082d934f01a7b1cab91297dfe3 = L.popup({"maxWidth": "100%"});

        
            var html_5de02a20fb734ccf9a4c73c6348dc1bb = $(`<div id="html_5de02a20fb734ccf9a4c73c6348dc1bb" style="width: 100.0%; height: 100.0%;">CCAFS SLC-40</div>`)[0];
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        marker_9b8cfcc1b00c46ed87e4550aba75251b.bindPopup(popup_1a8c20082d934f01a7b1cab91297dfe3)
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            var marker_367d7f26a7a844338d38bf564f2df71e = L.marker(
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        var popup_719006c541d846919c78ba7a21460554 = L.popup({"maxWidth": "100%"});

        
            var html_c3e1376f24634a7492f6d12b101e63bd = $(`<div id="html_c3e1376f24634a7492f6d12b101e63bd" style="width: 100.0%; height: 100.0%;">KSC LC-39A</div>`)[0];
            popup_719006c541d846919c78ba7a21460554.setContent(html_c3e1376f24634a7492f6d12b101e63bd);
        

        marker_367d7f26a7a844338d38bf564f2df71e.bindPopup(popup_719006c541d846919c78ba7a21460554)
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            var marker_5279d6e39d8f46a5b46e459d2f49feea = L.marker(
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                {}
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        var popup_72021cad0d3d40e784498635991ad32f = L.popup({"maxWidth": "100%"});

        
            var html_67cb42f5ee3e4d91ae69bed9648274eb = $(`<div id="html_67cb42f5ee3e4d91ae69bed9648274eb" style="width: 100.0%; height: 100.0%;">VAFB SLC-4E</div>`)[0];
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                [[0.0, -120.0], [0.0, -80.0]],
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f02ace74400>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Initial the map\n",
    "site_map = folium.Map(location=nasa_coordinate, zoom_start=4)\n",
    "# For each launch site, add a Circle object based on its coordinate (Lat, Long) values. In addition, add Launch site name as a popup label\n",
    "for i in range(0,len(launch_sites_df)):\n",
    "    print(i)\n",
    "    bubble = folium.Popup(launch_sites_df.iloc[i]['Launch Site'])\n",
    "    folium.Marker([launch_sites_df.iloc[i]['Lat'],launch_sites_df.iloc[i]['Long']], popup=bubble).add_to(site_map)\n",
    "# show equator\n",
    "folium.PolyLine([[0,-120],[0,-80]]).add_to(site_map)   \n",
    "site_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The generated map with marked launch sites should look similar to the following:\n"
   ]
  },
  {
   "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_3/images/launch_site_markers.png\" />\n",
    "</center>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now, you can explore the map by zoom-in/out the marked areas\n",
    ", and try to answer the following questions:\n",
    "\n",
    "*   Are all launch sites in proximity to the Equator line?\n",
    "*   Are all launch sites in very close proximity to the coast?\n",
    "\n",
    "Also please try to explain your findings.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### answer\n",
    "* I put a blue line on the map to represent the equator and based off it I wouldn't say they're on the equator, but they are as close to them you can get in the USA.\n",
    "\n",
    "* The 3 points in Florida are very close to each other, but the fourth site is on the other side of the country."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Task 2: Mark the success/failed launches for each site on the map\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, let's try to enhance the map by adding the launch outcomes for each site, and see which sites have high success rates.\n",
    "Recall that data frame spacex_df has detailed launch records, and the `class` column indicates if this launch was successful or not\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<div>\n",
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       "\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>Launch Site</th>\n",
       "      <th>Lat</th>\n",
       "      <th>Long</th>\n",
       "      <th>class</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>46</th>\n",
       "      <td>KSC LC-39A</td>\n",
       "      <td>28.573255</td>\n",
       "      <td>-80.646895</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>47</th>\n",
       "      <td>KSC LC-39A</td>\n",
       "      <td>28.573255</td>\n",
       "      <td>-80.646895</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>KSC LC-39A</td>\n",
       "      <td>28.573255</td>\n",
       "      <td>-80.646895</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Launch Site        Lat       Long  class\n",
       "46    KSC LC-39A  28.573255 -80.646895      1\n",
       "47    KSC LC-39A  28.573255 -80.646895      1\n",
       "48    KSC LC-39A  28.573255 -80.646895      1\n",
       "49  CCAFS SLC-40  28.563197 -80.576820      1\n",
       "50  CCAFS SLC-40  28.563197 -80.576820      1\n",
       "51  CCAFS SLC-40  28.563197 -80.576820      0\n",
       "52  CCAFS SLC-40  28.563197 -80.576820      0\n",
       "53  CCAFS SLC-40  28.563197 -80.576820      0\n",
       "54  CCAFS SLC-40  28.563197 -80.576820      1\n",
       "55  CCAFS SLC-40  28.563197 -80.576820      0"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "spacex_df.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, let's create markers for all launch records.\n",
    "If a launch was successful `(class=1)`, then we use a green marker and if a launch was failed, we use a red marker `(class=0)`\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Note that a launch only happens in one of the four launch sites, which means many launch records will have the exact same coordinate. Marker clusters can be a good way to simplify a map containing many markers having the same coordinate.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first create a `MarkerCluster` object\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "id": "wP9PVUZ7Jfjt",
    "outputId": "6a3b8164-940c-4b93-9f3d-c655c4a0c683",
    "papermill": {
     "duration": 0.904519,
     "end_time": "2020-09-19T06:27:38.357041",
     "exception": false,
     "start_time": "2020-09-19T06:27:37.452522",
     "status": "completed"
    },
    "tags": []
   },
   "outputs": [],
   "source": [
    "marker_cluster = MarkerCluster()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*TODO:* Create a new column in `launch_sites` dataframe called `marker_color` to store the marker colors based on the `class` value\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "\n",
    "# Apply a function to check the value of `class` column\n",
    "# If class=1, marker_color value will be green\n",
    "# If class=0, marker_color value will be red\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Launch Site</th>\n",
       "      <th>Lat</th>\n",
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       "      <th>class</th>\n",
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       "      <td>1</td>\n",
       "      <td>green</td>\n",
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       "      <td>28.573255</td>\n",
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       "      <td>1</td>\n",
       "      <td>green</td>\n",
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       "    <tr>\n",
       "      <th>48</th>\n",
       "      <td>KSC LC-39A</td>\n",
       "      <td>28.573255</td>\n",
       "      <td>-80.646895</td>\n",
       "      <td>1</td>\n",
       "      <td>green</td>\n",
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       "    <tr>\n",
       "      <th>49</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>1</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>1</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>52</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>54</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>1</td>\n",
       "      <td>green</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>55</th>\n",
       "      <td>CCAFS SLC-40</td>\n",
       "      <td>28.563197</td>\n",
       "      <td>-80.576820</td>\n",
       "      <td>0</td>\n",
       "      <td>red</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Launch Site        Lat       Long  class marker_color\n",
       "46    KSC LC-39A  28.573255 -80.646895      1        green\n",
       "47    KSC LC-39A  28.573255 -80.646895      1        green\n",
       "48    KSC LC-39A  28.573255 -80.646895      1        green\n",
       "49  CCAFS SLC-40  28.563197 -80.576820      1        green\n",
       "50  CCAFS SLC-40  28.563197 -80.576820      1        green\n",
       "51  CCAFS SLC-40  28.563197 -80.576820      0          red\n",
       "52  CCAFS SLC-40  28.563197 -80.576820      0          red\n",
       "53  CCAFS SLC-40  28.563197 -80.576820      0          red\n",
       "54  CCAFS SLC-40  28.563197 -80.576820      1        green\n",
       "55  CCAFS SLC-40  28.563197 -80.576820      0          red"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Function to assign color to launch outcome\n",
    "def assign_marker_color(launch_outcome):\n",
    "    if launch_outcome == 1:\n",
    "        return 'green'\n",
    "    else:\n",
    "        return 'red'\n",
    "    \n",
    "spacex_df['marker_color'] = spacex_df['class'].apply(assign_marker_color)\n",
    "spacex_df.tail(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*TODO:* For each launch result in `spacex_df` data frame, add a `folium.Marker` to `marker_cluster`\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
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            var icon_e56046a2db124632859f1c4860d15dd4 = L.AwesomeMarkers.icon(
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            var icon_ec10563be94746388ba95f866575f1d5 = L.AwesomeMarkers.icon(
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            var icon_8aaff609bb0e417592c4ea3626ab4b77 = L.AwesomeMarkers.icon(
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            var icon_f44eb082bdb84c47a1441d70a8926aa4 = L.AwesomeMarkers.icon(
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            var icon_a610819fcd4b49bebfe0ff8ed6ac344a = L.AwesomeMarkers.icon(
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            var icon_dd237d460dd642ffb1dd7c0e384bbd02 = L.AwesomeMarkers.icon(
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            var icon_4bf5e618950b42c287f72ff66e7da13f = L.AwesomeMarkers.icon(
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            var marker_4c02f2cd3f2342caa9dd96a421e50223 = L.marker(
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            var icon_d3d37c13e56d469298daf3b228b842ce = L.AwesomeMarkers.icon(
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            var marker_f3e4d1f126ed4627b28a74a207c24fe6 = L.marker(
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            var icon_910ba57e9b39429fb23f404333abca2c = L.AwesomeMarkers.icon(
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            var marker_0527853bc5ae4ccf924f588ff32a58fe = L.marker(
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            var icon_6ce317f010574a4087c5e92e5f2411c6 = L.AwesomeMarkers.icon(
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            var marker_7351aebda12644a89fd3ecef07bd7605 = L.marker(
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            var icon_76fd0678486d4ef185a1fec6c9956645 = L.AwesomeMarkers.icon(
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            var marker_a2bcb195782d42e0894cd0e28ed9a174 = L.marker(
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            var icon_8f6d02ccc33b45f2bb0936b718a28a85 = L.AwesomeMarkers.icon(
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            var marker_e0389970f2e740659dc1dd15b62a6d00 = L.marker(
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            var icon_060c870a791948a69510923913c05a62 = L.AwesomeMarkers.icon(
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            var marker_b44c104ef57447e681c88fd5b30888ed = L.marker(
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            var icon_1a71e68e975d48b0bdbe402310c24c6f = L.AwesomeMarkers.icon(
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            var marker_ae5bab48a67e49ee889dfc3256729ae3 = L.marker(
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            var icon_884f71a15bd141eab61d83f40650941b = L.AwesomeMarkers.icon(
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            var marker_fb338811522e4493b1b73cbd25450da0 = L.marker(
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            var icon_b059701e8ac0400fafcdfaf98baffbdc = L.AwesomeMarkers.icon(
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            var marker_7330a492b0ff491cb19ce74fa1194dba = L.marker(
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            var icon_1c38c6800c504e34bffc7bf1116382f6 = L.AwesomeMarkers.icon(
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            var marker_151c540d31fe4bc4afea5f543122931c = L.marker(
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            var icon_be82e1de93d942f0a35c771df3d725e8 = L.AwesomeMarkers.icon(
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            var marker_71197ad00c29479bb0aad706617e6b40 = L.marker(
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            var icon_eb37dad9c2ae445e9d677abc2f0cf25e = L.AwesomeMarkers.icon(
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            var marker_2d1d5535b0d3438bb9071e2baf7ddf69 = L.marker(
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            var icon_b84b5df8c48a4c5a93d0ea3ef40bf847 = L.AwesomeMarkers.icon(
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            var marker_81da231b0bf1403289ddf9089451724f = L.marker(
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            var icon_4737d84cdfa24f4d86c2c60ce8f3564e = L.AwesomeMarkers.icon(
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            var marker_5578b0c907a94120a54a6add5f0c358b = L.marker(
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            var icon_3aeaf56d3d1146aab07972f20381b30d = L.AwesomeMarkers.icon(
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            var marker_c8215a85bc3143ec9aabc43cd90c3081 = L.marker(
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            var icon_8e5a7ea0282141dd8a41a866d9b19b0a = L.AwesomeMarkers.icon(
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            var marker_30cd875023a348709c255eb71337303f = L.marker(
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            var icon_6d1dbd1760b84c0f8784a97cae514a33 = L.AwesomeMarkers.icon(
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            var marker_44efa292f72146beacf60de4311a0cf7 = L.marker(
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            var icon_2b5837dc78a44170ba7783281577933b = L.AwesomeMarkers.icon(
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            var icon_72890af0b05945fcaf9000741fdcefb3 = L.AwesomeMarkers.icon(
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            var icon_56a27252ab6b46879b08b065f6dd9862 = L.AwesomeMarkers.icon(
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            var marker_c513e45dff4d4c93adcf3271100a03c7 = L.marker(
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            var icon_76de66cba2bd42658c219c5201b50bd9 = L.AwesomeMarkers.icon(
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            var marker_0dd007bb027149349fb8de23ef599b0d = L.marker(
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            var icon_86f866e683164e488c206dc5f5ed1396 = L.AwesomeMarkers.icon(
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            var marker_179e4397dc41449ab90507cd32007ff3 = L.marker(
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            var icon_393bdcd7c3724e918551494fcc792071 = L.AwesomeMarkers.icon(
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            var marker_0c7f08a17a3548f8b6e62a437dfa1a8d = L.marker(
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            var icon_c8a2da9167d34cd3879fe26abd578194 = L.AwesomeMarkers.icon(
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f02ace74400>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Add marker_cluster to current site_map\n",
    "site_map.add_child(marker_cluster)\n",
    "\n",
    "# for each row in spacex_df data frame\n",
    "# create a Marker object with its coordinate\n",
    "# and customize the Marker's icon property to indicate if this launch was successed or failed, \n",
    "# e.g., icon=folium.Icon(color='white', icon_color=row['marker_color']\n",
    "for index, record in spacex_df.iterrows():\n",
    "    # TODO: Create and add a Marker cluster to the site map\n",
    "    marker = folium.Marker([record['Lat'],record['Long']], icon=folium.Icon(color='white', icon_color=record['marker_color'])).add_to(marker_cluster)\n",
    "    marker_cluster.add_child(marker)\n",
    "\n",
    "site_map"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Your updated map may look like the following screenshots:\n"
   ]
  },
  {
   "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_3/images/launch_site_marker_cluster.png\" />\n",
    "</center>\n"
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  {
   "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_3/images/launch_site_marker_cluster_zoomed.png\" />\n",
    "</center>\n"
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  },
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   "cell_type": "markdown",
   "metadata": {},
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    "From the color-labeled markers in marker clusters, you should be able to easily identify which launch sites have relatively high success rates.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# TASK 3: Calculate the distances between a launch site to its proximities\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next, we need to explore and analyze the proximities of launch sites.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's first add a `MousePosition` on the map to get coordinate for a mouse over a point on the map. As such, while you are exploring the map, you can easily find the coordinates of any points of interests (such as railway)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
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            var html_67cb42f5ee3e4d91ae69bed9648274eb = $(`<div id="html_67cb42f5ee3e4d91ae69bed9648274eb" style="width: 100.0%; height: 100.0%;">VAFB SLC-4E</div>`)[0];
            popup_72021cad0d3d40e784498635991ad32f.setContent(html_67cb42f5ee3e4d91ae69bed9648274eb);
        

        marker_5279d6e39d8f46a5b46e459d2f49feea.bindPopup(popup_72021cad0d3d40e784498635991ad32f)
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            var poly_line_e091c14332e54ad993b6a6dff9c1da8d = L.polyline(
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            ).addTo(map_1f244dca6892481a847dd34fa47f8a41);
        
    
            var marker_cluster_831f6f6499e04d7cb5cf551f85526896 = L.markerClusterGroup(
                {}
            );
            map_1f244dca6892481a847dd34fa47f8a41.addLayer(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var marker_c0320fab5b384f4c9b30d88ce6a77925 = L.marker(
                [28.56230197, -80.57735648],
                {}
            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_1a05000a59fd4d8387635f7581ad52e0 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_c0320fab5b384f4c9b30d88ce6a77925.setIcon(icon_1a05000a59fd4d8387635f7581ad52e0);
        
    
            var marker_89b489681ab84c12bff6fdaf6d89142b = L.marker(
                [28.56230197, -80.57735648],
                {}
            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_e56046a2db124632859f1c4860d15dd4 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_89b489681ab84c12bff6fdaf6d89142b.setIcon(icon_e56046a2db124632859f1c4860d15dd4);
        
    
            var marker_91dbbf72c952429bb93f72382dc93aab = L.marker(
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                {}
            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_ec10563be94746388ba95f866575f1d5 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_91dbbf72c952429bb93f72382dc93aab.setIcon(icon_ec10563be94746388ba95f866575f1d5);
        
    
            var marker_40de7c7d7cfd42d5a080e0c4a5fce005 = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_8aaff609bb0e417592c4ea3626ab4b77 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_40de7c7d7cfd42d5a080e0c4a5fce005.setIcon(icon_8aaff609bb0e417592c4ea3626ab4b77);
        
    
            var marker_47341a7557e04c9ca031a24916bdcaf6 = L.marker(
                [28.56230197, -80.57735648],
                {}
            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_f44eb082bdb84c47a1441d70a8926aa4 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_47341a7557e04c9ca031a24916bdcaf6.setIcon(icon_f44eb082bdb84c47a1441d70a8926aa4);
        
    
            var marker_42650f5be9004fd4825b932c0edeb207 = L.marker(
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                {}
            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_05393ff3cc644e7d9b3c49c87ed71fb6 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_42650f5be9004fd4825b932c0edeb207.setIcon(icon_05393ff3cc644e7d9b3c49c87ed71fb6);
        
    
            var marker_4f248d7e57d74d739bbd0de564c82ea9 = L.marker(
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            var icon_a610819fcd4b49bebfe0ff8ed6ac344a = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_4f248d7e57d74d739bbd0de564c82ea9.setIcon(icon_a610819fcd4b49bebfe0ff8ed6ac344a);
        
    
            var marker_16288261d533448c9f225ba18193aca6 = L.marker(
                [28.56230197, -80.57735648],
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            var icon_dd237d460dd642ffb1dd7c0e384bbd02 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_16288261d533448c9f225ba18193aca6.setIcon(icon_dd237d460dd642ffb1dd7c0e384bbd02);
        
    
            var marker_37520648e0374745b4fc3f6e676f3b01 = L.marker(
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            var icon_2137e3f972b94708b8b90200980c411b = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
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            marker_37520648e0374745b4fc3f6e676f3b01.setIcon(icon_2137e3f972b94708b8b90200980c411b);
        
    
            var marker_55bf8969ff824413b5b8057f54ed8cfb = L.marker(
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            var icon_3a1a3183cdde4d0593b5d50dd25981d0 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_55bf8969ff824413b5b8057f54ed8cfb.setIcon(icon_3a1a3183cdde4d0593b5d50dd25981d0);
        
    
            var marker_abbb783e30cd476783ed554139a058ae = L.marker(
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            var icon_d32c14a65217495da2791ed0e8e75b1b = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_abbb783e30cd476783ed554139a058ae.setIcon(icon_d32c14a65217495da2791ed0e8e75b1b);
        
    
            var marker_6ad4efef046c45abad4ee75872248bfa = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_4bf5e618950b42c287f72ff66e7da13f = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_6ad4efef046c45abad4ee75872248bfa.setIcon(icon_4bf5e618950b42c287f72ff66e7da13f);
        
    
            var marker_4c02f2cd3f2342caa9dd96a421e50223 = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_d3d37c13e56d469298daf3b228b842ce = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_4c02f2cd3f2342caa9dd96a421e50223.setIcon(icon_d3d37c13e56d469298daf3b228b842ce);
        
    
            var marker_f3e4d1f126ed4627b28a74a207c24fe6 = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_910ba57e9b39429fb23f404333abca2c = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_f3e4d1f126ed4627b28a74a207c24fe6.setIcon(icon_910ba57e9b39429fb23f404333abca2c);
        
    
            var marker_0527853bc5ae4ccf924f588ff32a58fe = L.marker(
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            var icon_6ce317f010574a4087c5e92e5f2411c6 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_0527853bc5ae4ccf924f588ff32a58fe.setIcon(icon_6ce317f010574a4087c5e92e5f2411c6);
        
    
            var marker_7351aebda12644a89fd3ecef07bd7605 = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_76fd0678486d4ef185a1fec6c9956645 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_7351aebda12644a89fd3ecef07bd7605.setIcon(icon_76fd0678486d4ef185a1fec6c9956645);
        
    
            var marker_a2bcb195782d42e0894cd0e28ed9a174 = L.marker(
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                {}
            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_8f6d02ccc33b45f2bb0936b718a28a85 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_a2bcb195782d42e0894cd0e28ed9a174.setIcon(icon_8f6d02ccc33b45f2bb0936b718a28a85);
        
    
            var marker_e0389970f2e740659dc1dd15b62a6d00 = L.marker(
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                {}
            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_060c870a791948a69510923913c05a62 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_e0389970f2e740659dc1dd15b62a6d00.setIcon(icon_060c870a791948a69510923913c05a62);
        
    
            var marker_b44c104ef57447e681c88fd5b30888ed = L.marker(
                [28.56230197, -80.57735648],
                {}
            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_1a71e68e975d48b0bdbe402310c24c6f = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_b44c104ef57447e681c88fd5b30888ed.setIcon(icon_1a71e68e975d48b0bdbe402310c24c6f);
        
    
            var marker_ae5bab48a67e49ee889dfc3256729ae3 = L.marker(
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                {}
            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_884f71a15bd141eab61d83f40650941b = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_ae5bab48a67e49ee889dfc3256729ae3.setIcon(icon_884f71a15bd141eab61d83f40650941b);
        
    
            var marker_fb338811522e4493b1b73cbd25450da0 = L.marker(
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                {}
            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_b059701e8ac0400fafcdfaf98baffbdc = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_fb338811522e4493b1b73cbd25450da0.setIcon(icon_b059701e8ac0400fafcdfaf98baffbdc);
        
    
            var marker_7330a492b0ff491cb19ce74fa1194dba = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_1c38c6800c504e34bffc7bf1116382f6 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_7330a492b0ff491cb19ce74fa1194dba.setIcon(icon_1c38c6800c504e34bffc7bf1116382f6);
        
    
            var marker_151c540d31fe4bc4afea5f543122931c = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_be82e1de93d942f0a35c771df3d725e8 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_151c540d31fe4bc4afea5f543122931c.setIcon(icon_be82e1de93d942f0a35c771df3d725e8);
        
    
            var marker_71197ad00c29479bb0aad706617e6b40 = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_eb37dad9c2ae445e9d677abc2f0cf25e = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_71197ad00c29479bb0aad706617e6b40.setIcon(icon_eb37dad9c2ae445e9d677abc2f0cf25e);
        
    
            var marker_2d1d5535b0d3438bb9071e2baf7ddf69 = L.marker(
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            var icon_b84b5df8c48a4c5a93d0ea3ef40bf847 = L.AwesomeMarkers.icon(
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            );
            marker_2d1d5535b0d3438bb9071e2baf7ddf69.setIcon(icon_b84b5df8c48a4c5a93d0ea3ef40bf847);
        
    
            var marker_81da231b0bf1403289ddf9089451724f = L.marker(
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            var icon_4737d84cdfa24f4d86c2c60ce8f3564e = L.AwesomeMarkers.icon(
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            );
            marker_81da231b0bf1403289ddf9089451724f.setIcon(icon_4737d84cdfa24f4d86c2c60ce8f3564e);
        
    
            var marker_5578b0c907a94120a54a6add5f0c358b = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_3aeaf56d3d1146aab07972f20381b30d = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_5578b0c907a94120a54a6add5f0c358b.setIcon(icon_3aeaf56d3d1146aab07972f20381b30d);
        
    
            var marker_c8215a85bc3143ec9aabc43cd90c3081 = L.marker(
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            var icon_8e5a7ea0282141dd8a41a866d9b19b0a = L.AwesomeMarkers.icon(
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            );
            marker_c8215a85bc3143ec9aabc43cd90c3081.setIcon(icon_8e5a7ea0282141dd8a41a866d9b19b0a);
        
    
            var marker_30cd875023a348709c255eb71337303f = L.marker(
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            var icon_6d1dbd1760b84c0f8784a97cae514a33 = L.AwesomeMarkers.icon(
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            );
            marker_30cd875023a348709c255eb71337303f.setIcon(icon_6d1dbd1760b84c0f8784a97cae514a33);
        
    
            var marker_44efa292f72146beacf60de4311a0cf7 = L.marker(
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            var icon_2b5837dc78a44170ba7783281577933b = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_44efa292f72146beacf60de4311a0cf7.setIcon(icon_2b5837dc78a44170ba7783281577933b);
        
    
            var marker_d82987a591104517a465bd002cf44e03 = L.marker(
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            var icon_72890af0b05945fcaf9000741fdcefb3 = L.AwesomeMarkers.icon(
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            );
            marker_d82987a591104517a465bd002cf44e03.setIcon(icon_72890af0b05945fcaf9000741fdcefb3);
        
    
            var marker_3efeeee611db42f4b65496e421007715 = L.marker(
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            var icon_56a27252ab6b46879b08b065f6dd9862 = L.AwesomeMarkers.icon(
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            );
            marker_3efeeee611db42f4b65496e421007715.setIcon(icon_56a27252ab6b46879b08b065f6dd9862);
        
    
            var marker_c513e45dff4d4c93adcf3271100a03c7 = L.marker(
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            var icon_76de66cba2bd42658c219c5201b50bd9 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_c513e45dff4d4c93adcf3271100a03c7.setIcon(icon_76de66cba2bd42658c219c5201b50bd9);
        
    
            var marker_0dd007bb027149349fb8de23ef599b0d = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_86f866e683164e488c206dc5f5ed1396 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_0dd007bb027149349fb8de23ef599b0d.setIcon(icon_86f866e683164e488c206dc5f5ed1396);
        
    
            var marker_179e4397dc41449ab90507cd32007ff3 = L.marker(
                [34.63283416, -120.6107455],
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      "text/plain": [
       "<folium.folium.Map at 0x7f02ace74400>"
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     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
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    "# Add Mouse Position to get the coordinate (Lat, Long) for a mouse over on the map\n",
    "formatter = \"function(num) {return L.Util.formatNum(num, 5);};\"\n",
    "mouse_position = MousePosition(\n",
    "    position='topright',\n",
    "    separator=' Long: ',\n",
    "    empty_string='NaN',\n",
    "    lng_first=False,\n",
    "    num_digits=20,\n",
    "    prefix='Lat:',\n",
    "    lat_formatter=formatter,\n",
    "    lng_formatter=formatter,\n",
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    "\n",
    "site_map.add_child(mouse_position)\n",
    "site_map"
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  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now zoom in to a launch site and explore its proximity to see if you can easily find any railway, highway, coastline, etc. Move your mouse to these points and mark down their coordinates (shown on the top-left) in order to the distance to the launch site.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can calculate the distance between two points on the map based on their `Lat` and `Long` values using the following method:\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "from math import sin, cos, sqrt, atan2, radians\n",
    "\n",
    "def calculate_distance(lat1, lon1, lat2, lon2):\n",
    "    # approximate radius of earth in km\n",
    "    R = 6373.0\n",
    "\n",
    "    lat1 = radians(lat1)\n",
    "    lon1 = radians(lon1)\n",
    "    lat2 = radians(lat2)\n",
    "    lon2 = radians(lon2)\n",
    "\n",
    "    dlon = lon2 - lon1\n",
    "    dlat = lat2 - lat1\n",
    "\n",
    "    a = sin(dlat / 2)**2 + cos(lat1) * cos(lat2) * sin(dlon / 2)**2\n",
    "    c = 2 * atan2(sqrt(a), sqrt(1 - a))\n",
    "\n",
    "    distance = R * c\n",
    "    return distance"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*TODO:* Mark down a point on the closest coastline using MousePosition and calculate the distance between the coastline point and the launch site.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "# find coordinate of the closet coastline\n",
    "# e.g.,: Lat: 28.56367  Lon: -80.57163\n",
    "\n",
    "launch_site_lat = 28.563197\n",
    "launch_site_lon = -80.576820\n",
    "coastline_lat = 28.56318\n",
    "coastline_lon = -80.56796\n",
    "distance_coastline = calculate_distance(launch_site_lat, launch_site_lon, coastline_lat, coastline_lon)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*TODO:* After obtained its coordinate, create a `folium.Marker` to show the distance\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "scrolled": true
   },
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            var icon_1a05000a59fd4d8387635f7581ad52e0 = L.AwesomeMarkers.icon(
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            var icon_e56046a2db124632859f1c4860d15dd4 = L.AwesomeMarkers.icon(
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            var icon_ec10563be94746388ba95f866575f1d5 = L.AwesomeMarkers.icon(
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            var marker_4f248d7e57d74d739bbd0de564c82ea9 = L.marker(
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            var icon_b059701e8ac0400fafcdfaf98baffbdc = L.AwesomeMarkers.icon(
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            var icon_eb37dad9c2ae445e9d677abc2f0cf25e = L.AwesomeMarkers.icon(
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            var marker_5578b0c907a94120a54a6add5f0c358b = L.marker(
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            var icon_2b5837dc78a44170ba7783281577933b = L.AwesomeMarkers.icon(
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      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f02ace74400>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create and add a folium.Marker on your selected closest coastline point on the map\n",
    "# Display the distance between coastline point and launch site using the icon property \n",
    "# for example\n",
    "coordinate = [coastline_lat,coastline_lon]\n",
    "distance_marker = folium.Marker(\n",
    "    coordinate,\n",
    "    icon=DivIcon(\n",
    "        icon_size=(20,20),\n",
    "        icon_anchor=(0,0),\n",
    "        html='<div style=\"font-size: 12; color:#d35400;\"><b>%s</b></div>' % \"{:10.2f} KM\".format(distance_coastline),\n",
    "        )\n",
    "    ).add_to(site_map)\n",
    "site_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*TODO:* Draw a `PolyLine` between a launch site to the selected coastline point\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
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            var icon_1a05000a59fd4d8387635f7581ad52e0 = L.AwesomeMarkers.icon(
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            var icon_e56046a2db124632859f1c4860d15dd4 = L.AwesomeMarkers.icon(
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            var icon_05393ff3cc644e7d9b3c49c87ed71fb6 = L.AwesomeMarkers.icon(
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            var marker_4f248d7e57d74d739bbd0de564c82ea9 = L.marker(
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            var icon_a610819fcd4b49bebfe0ff8ed6ac344a = L.AwesomeMarkers.icon(
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            var icon_dd237d460dd642ffb1dd7c0e384bbd02 = L.AwesomeMarkers.icon(
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            var icon_884f71a15bd141eab61d83f40650941b = L.AwesomeMarkers.icon(
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            var icon_b059701e8ac0400fafcdfaf98baffbdc = L.AwesomeMarkers.icon(
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            var icon_1c38c6800c504e34bffc7bf1116382f6 = L.AwesomeMarkers.icon(
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            var icon_be82e1de93d942f0a35c771df3d725e8 = L.AwesomeMarkers.icon(
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            var icon_eb37dad9c2ae445e9d677abc2f0cf25e = L.AwesomeMarkers.icon(
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            var icon_b84b5df8c48a4c5a93d0ea3ef40bf847 = L.AwesomeMarkers.icon(
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            var icon_4737d84cdfa24f4d86c2c60ce8f3564e = L.AwesomeMarkers.icon(
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            var marker_5578b0c907a94120a54a6add5f0c358b = L.marker(
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            var icon_3aeaf56d3d1146aab07972f20381b30d = L.AwesomeMarkers.icon(
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            var icon_8e5a7ea0282141dd8a41a866d9b19b0a = L.AwesomeMarkers.icon(
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            var icon_6d1dbd1760b84c0f8784a97cae514a33 = L.AwesomeMarkers.icon(
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            var marker_44efa292f72146beacf60de4311a0cf7 = L.marker(
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            var icon_2b5837dc78a44170ba7783281577933b = L.AwesomeMarkers.icon(
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            var icon_3f5ac7c7ddf547b4b8b4303fc2f0cb76 = L.AwesomeMarkers.icon(
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            var marker_121fe6f8908a44848f47a1b9780f655a = L.marker(
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            var icon_c93851e9b7c34db7a58f3595de6f10e4 = L.AwesomeMarkers.icon(
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            );
            marker_121fe6f8908a44848f47a1b9780f655a.setIcon(icon_c93851e9b7c34db7a58f3595de6f10e4);
        
    
            var mouse_position_2d8ab24b3379435ca0cb03c721923a61 = new L.Control.MousePosition(
                {"emptyString": "NaN", "lngFirst": false, "numDigits": 20, "position": "topright", "prefix": "Lat:", "separator": " Long: "}
            );
            mouse_position_2d8ab24b3379435ca0cb03c721923a61.options["latFormatter"] =
                function(num) {return L.Util.formatNum(num, 5);};;
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                function(num) {return L.Util.formatNum(num, 5);};;
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            var marker_4f19ed3544da430e8d3ebae641cf5443 = L.marker(
                [28.56318, -80.56796],
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            var div_icon_6dc9435d42774273b60d49046c6e8ae9 = L.divIcon({"className": "empty", "html": "\u003cdiv style=\"font-size: 12; color:#d35400;\"\u003e\u003cb\u003e      0.87 KM\u003c/b\u003e\u003c/div\u003e", "iconAnchor": [0, 0], "iconSize": [20, 20]});
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            var poly_line_166c5dd2d8564c67bfdf50de2d98db57 = L.polyline(
                [[28.563197, -80.57682], [28.56318, -80.56796]],
                {"bubblingMouseEvents": true, "color": "#3388ff", "dashArray": null, "dashOffset": null, "fill": false, "fillColor": "#3388ff", "fillOpacity": 0.2, "fillRule": "evenodd", "lineCap": "round", "lineJoin": "round", "noClip": false, "opacity": 1.0, "smoothFactor": 1.0, "stroke": true, "weight": 1}
            ).addTo(map_1f244dca6892481a847dd34fa47f8a41);
        
</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f02ace74400>"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Create a `folium.PolyLine` object using the coastline coordinates and launch site coordinate\n",
    "coordinates = [[launch_site_lat,launch_site_lon],[coastline_lat,coastline_lon]]\n",
    "lines=folium.PolyLine(locations=coordinates, weight=1)\n",
    "\n",
    "site_map.add_child(lines)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Your updated map with distance line should look like the following screenshot:\n"
   ]
  },
  {
   "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_3/images/launch_site_marker_distance.png\" />\n",
    "</center>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "*TODO:* Similarly, you can draw a line betwee a launch site to its closest city, railway, highway, etc. You need to use `MousePosition` to find the their coordinates on the map first\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A railway map symbol may look like this:\n"
   ]
  },
  {
   "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_3/images/railway.png\" />\n",
    "</center>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A highway map symbol may look like this:\n"
   ]
  },
  {
   "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_3/images/highway.png\" />\n",
    "</center>\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "A city map symbol may look like this:\n"
   ]
  },
  {
   "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_3/images/city.png\" />\n",
    "</center>\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Create a marker with distance to a closest city, railway, highway, etc.\n",
    "# Draw a line between the marker to the launch site\n",
    "\n",
    "# railway\n",
    "railway_lat = 28.57209\n",
    "railway_long = -80.58534\n",
    "\n",
    "# highway\n",
    "highway_lat = 28.56324\n",
    "highway_long = -80.57074\n",
    "\n",
    "# city center\n",
    "citycenter_lat = 28.40137\n",
    "citycenter_long = -80.60477\n",
    "\n",
    "# create DivIcons\n",
    "for coor in [[railway_lat, railway_long], [highway_lat, highway_long], [citycenter_lat, citycenter_long]]:\n",
    "    coordinate = coor\n",
    "    coor_distance = calculate_distance(launch_site_lat, launch_site_lon, coor[0], coor[1]) \n",
    "    distance_marker = folium.Marker(\n",
    "        coor,\n",
    "        icon=DivIcon(\n",
    "            icon_size=(20,20),\n",
    "            icon_anchor=(0,0),\n",
    "            html='<div style=\"font-size: 12; color:#d35400;\"><b>%s</b></div>' % \"{:10.2f} KM\".format(coor_distance),\n",
    "            )\n",
    "        ).add_to(site_map)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "# draw lines \n",
    "for coor in [[railway_lat, railway_long], [highway_lat, highway_long], [citycenter_lat, citycenter_long]]:\n",
    "  tmpcoor = [[launch_site_lat,launch_site_lon], [coor[0],coor[1]]]\n",
    "  lines=folium.PolyLine(locations=tmpcoor, weight=1)\n",
    "  site_map.add_child(lines)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
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            var marker_71197ad00c29479bb0aad706617e6b40 = L.marker(
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            var icon_eb37dad9c2ae445e9d677abc2f0cf25e = L.AwesomeMarkers.icon(
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            var marker_2d1d5535b0d3438bb9071e2baf7ddf69 = L.marker(
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            var icon_b84b5df8c48a4c5a93d0ea3ef40bf847 = L.AwesomeMarkers.icon(
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            var icon_4737d84cdfa24f4d86c2c60ce8f3564e = L.AwesomeMarkers.icon(
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            var icon_3aeaf56d3d1146aab07972f20381b30d = L.AwesomeMarkers.icon(
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            var icon_8e5a7ea0282141dd8a41a866d9b19b0a = L.AwesomeMarkers.icon(
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            var icon_6d1dbd1760b84c0f8784a97cae514a33 = L.AwesomeMarkers.icon(
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            var icon_2b5837dc78a44170ba7783281577933b = L.AwesomeMarkers.icon(
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            var icon_72890af0b05945fcaf9000741fdcefb3 = L.AwesomeMarkers.icon(
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            var icon_56a27252ab6b46879b08b065f6dd9862 = L.AwesomeMarkers.icon(
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            var marker_c513e45dff4d4c93adcf3271100a03c7 = L.marker(
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            var icon_76de66cba2bd42658c219c5201b50bd9 = L.AwesomeMarkers.icon(
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            var icon_86f866e683164e488c206dc5f5ed1396 = L.AwesomeMarkers.icon(
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            var icon_393bdcd7c3724e918551494fcc792071 = L.AwesomeMarkers.icon(
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            var marker_0c7f08a17a3548f8b6e62a437dfa1a8d = L.marker(
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            var icon_c8a2da9167d34cd3879fe26abd578194 = L.AwesomeMarkers.icon(
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            );
            marker_0c7f08a17a3548f8b6e62a437dfa1a8d.setIcon(icon_c8a2da9167d34cd3879fe26abd578194);
        
    
            var marker_c647f0f7d3c242f4aea8389e15e65880 = L.marker(
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            var icon_5f98e1eeaf684b60accb5b6808d64cc5 = L.AwesomeMarkers.icon(
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            var marker_288ad8f562ac40dc9c88d4bf3a620d1b = L.marker(
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            var icon_c8ad670ba9094381b0d990c478b55675 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
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            var marker_396283ceb2c74b34af83c9a49c5ab156 = L.marker(
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            var icon_b3b609df0e384a0abe2a5ecdb78b7063 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_396283ceb2c74b34af83c9a49c5ab156.setIcon(icon_b3b609df0e384a0abe2a5ecdb78b7063);
        
    
            var marker_975d4c012f2f470c9b90229270306d26 = L.marker(
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            var icon_5a86333933134a96a742f36b8cf67922 = L.AwesomeMarkers.icon(
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            );
            marker_975d4c012f2f470c9b90229270306d26.setIcon(icon_5a86333933134a96a742f36b8cf67922);
        
    
            var marker_bf6d770cbaeb4c20b7e7efe1a574399b = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_76f150759efd465f9576ca23e6c4012c = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_bf6d770cbaeb4c20b7e7efe1a574399b.setIcon(icon_76f150759efd465f9576ca23e6c4012c);
        
    
            var marker_c943997e0a1f42ccbd75d39e4e7a7150 = L.marker(
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            var icon_664ea66e575f453a8e9b12998b6a52d8 = L.AwesomeMarkers.icon(
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            );
            marker_c943997e0a1f42ccbd75d39e4e7a7150.setIcon(icon_664ea66e575f453a8e9b12998b6a52d8);
        
    
            var marker_2a5b653fe5414d5ea1c53ea4e85c0900 = L.marker(
                [28.57325457, -80.64689529],
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_92adc69d34c64a7fba06b326fdd3b74e = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_2a5b653fe5414d5ea1c53ea4e85c0900.setIcon(icon_92adc69d34c64a7fba06b326fdd3b74e);
        
    
            var marker_ddfe44fe9ae644d4b450be195e52c118 = L.marker(
                [28.57325457, -80.64689529],
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_5089a4448ee147179448ff4d11fab99e = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_ddfe44fe9ae644d4b450be195e52c118.setIcon(icon_5089a4448ee147179448ff4d11fab99e);
        
    
            var marker_7e9e0678a5dd42b388267eaafd6b83b0 = L.marker(
                [28.57325457, -80.64689529],
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            var icon_2d1b08239f844314bbae42e5e1a047d5 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_7e9e0678a5dd42b388267eaafd6b83b0.setIcon(icon_2d1b08239f844314bbae42e5e1a047d5);
        
    
            var marker_93b3b1d5164f464d8adc1a1ad841799c = L.marker(
                [28.57325457, -80.64689529],
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_b4f05e919eb54334a292a2ed0f37c424 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_93b3b1d5164f464d8adc1a1ad841799c.setIcon(icon_b4f05e919eb54334a292a2ed0f37c424);
        
    
            var marker_ea5aaa8b55bd419d8815b0286f90a0d7 = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_7674daefb5f44638a8b668ed80176ffb = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_ea5aaa8b55bd419d8815b0286f90a0d7.setIcon(icon_7674daefb5f44638a8b668ed80176ffb);
        
    
            var marker_1b6f6c4354d8445180084719e9576f7e = L.marker(
                [28.57325457, -80.64689529],
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_4882cd63d53847c89aba7b0ab9ff2c7c = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "green", "markerColor": "white", "prefix": "glyphicon"}
            );
            marker_1b6f6c4354d8445180084719e9576f7e.setIcon(icon_4882cd63d53847c89aba7b0ab9ff2c7c);
        
    
            var marker_27ada22136de4e999a83a486edac3358 = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_add7d7dfc2c04fbbb1718ef52359db6c = L.AwesomeMarkers.icon(
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            );
            marker_27ada22136de4e999a83a486edac3358.setIcon(icon_add7d7dfc2c04fbbb1718ef52359db6c);
        
    
            var marker_2c5005dd00bd40e093c03f47f841120e = L.marker(
                [28.56319718, -80.57682003],
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_399fdc471e844bbb860d94ea54649806 = L.AwesomeMarkers.icon(
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            );
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            var marker_56f79f1c61924a80ad2775ac72fc8aa9 = L.marker(
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            var icon_d2bbdc3e3d9f4c7fb1103f16dc02c98d = L.AwesomeMarkers.icon(
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            );
            marker_56f79f1c61924a80ad2775ac72fc8aa9.setIcon(icon_d2bbdc3e3d9f4c7fb1103f16dc02c98d);
        
    
            var marker_fac7dc4bcf6b45728ce1dd690df8a300 = L.marker(
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            var icon_f34f68b33dc840f383cbac4450160779 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
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            var marker_973c497027cb4ef88cd0f4ed0f470311 = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_5c12c817c3ec405a815ef0c5020acc70 = L.AwesomeMarkers.icon(
                {"extraClasses": "fa-rotate-0", "icon": "info-sign", "iconColor": "red", "markerColor": "white", "prefix": "glyphicon"}
            );
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            var marker_3729952c55534b3dbe7e4ecd32e5ce35 = L.marker(
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            var icon_619e85b6836a46f7bf14c58a7fd42ff2 = L.AwesomeMarkers.icon(
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            );
            marker_3729952c55534b3dbe7e4ecd32e5ce35.setIcon(icon_619e85b6836a46f7bf14c58a7fd42ff2);
        
    
            var marker_bbb1380c361d4c7db7391a77cf99bc39 = L.marker(
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            var icon_3f5ac7c7ddf547b4b8b4303fc2f0cb76 = L.AwesomeMarkers.icon(
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            );
            marker_bbb1380c361d4c7db7391a77cf99bc39.setIcon(icon_3f5ac7c7ddf547b4b8b4303fc2f0cb76);
        
    
            var marker_121fe6f8908a44848f47a1b9780f655a = L.marker(
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            ).addTo(marker_cluster_831f6f6499e04d7cb5cf551f85526896);
        
    
            var icon_c93851e9b7c34db7a58f3595de6f10e4 = L.AwesomeMarkers.icon(
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            );
            marker_121fe6f8908a44848f47a1b9780f655a.setIcon(icon_c93851e9b7c34db7a58f3595de6f10e4);
        
    
            var mouse_position_2d8ab24b3379435ca0cb03c721923a61 = new L.Control.MousePosition(
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            var marker_4f19ed3544da430e8d3ebae641cf5443 = L.marker(
                [28.56318, -80.56796],
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            ).addTo(map_1f244dca6892481a847dd34fa47f8a41);
        
    
            var div_icon_6dc9435d42774273b60d49046c6e8ae9 = L.divIcon({"className": "empty", "html": "\u003cdiv style=\"font-size: 12; color:#d35400;\"\u003e\u003cb\u003e      0.87 KM\u003c/b\u003e\u003c/div\u003e", "iconAnchor": [0, 0], "iconSize": [20, 20]});
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</script>\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
      ],
      "text/plain": [
       "<folium.folium.Map at 0x7f02ace74400>"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# show lines and markers\n",
    "site_map"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "After you plot distance lines to the proximities, you can answer the following questions easily:\n",
    "\n",
    "*   Are launch sites in close proximity to railways?\n",
    "*   Are launch sites in close proximity to highways?\n",
    "*   Are launch sites in close proximity to coastline?\n",
    "*   Do launch sites keep certain distance away from cities?\n",
    "\n",
    "Also please try to explain your findings.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Answers\n",
    "* proximity to railways? <br>\n",
    "<span style=\"color:blue\">*Yes, according to the map above the railways are only 1.29 KM away.*</span>.\n",
    "\n",
    "* Are launch sites in close proximity to highways?<br>\n",
    "<span style=\"color:blue\">*Yes, according to the map above a highways are only 0.59 KM away*</span>.\n",
    "\n",
    "* Are launch sites in close proximity to coastline?<br>\n",
    "<span style=\"color:blue\">*Yes, according to the map above a coastline is only 0.87 KM away*</span>.\n",
    "\n",
    "* Do launch sites keep certain distance away from cities?<br>\n",
    "<span style=\"color:blue\">*Yes, there is a much greater distance between cite centers and the other landmarks.  For example, Cape Canaveral is 18.21 KM away from the CCAFS SLC-40 launch site*</span>."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Next Steps:\n",
    "\n",
    "Now you have discovered many interesting insights related to the launch sites' location using folium, in a very interactive way. Next, you will need to build a dashboard using Ploty Dash on detailed launch records.\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Authors\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "[Yan Luo](https://www.linkedin.com/in/yan-luo-96288783/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Other Contributors\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Joseph Santarcangelo\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",
    "| 2021-05-26        | 1.0     | Yan        | Created the initial version |\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright © 2021 IBM Corporation. All rights reserved.\n"
   ]
  }
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