diff --git a/test.ipynb b/test.ipynb
index ebce3d0..6cc6f63 100644
--- a/test.ipynb
+++ b/test.ipynb
@@ -1,416 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "# Eland"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "import eland as ed"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "df = ed.read_es('localhost', 'kibana_sample_data_flights')"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "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>AvgTicketPrice</th>\n",
-       "      <th>Cancelled</th>\n",
-       "      <th>Carrier</th>\n",
-       "      <th>Dest</th>\n",
-       "      <th>DestAirportID</th>\n",
-       "      <th>DestCityName</th>\n",
-       "      <th>DestCountry</th>\n",
-       "      <th>DestLocation</th>\n",
-       "      <th>DestRegion</th>\n",
-       "      <th>DestWeather</th>\n",
-       "      <th>...</th>\n",
-       "      <th>FlightTimeMin</th>\n",
-       "      <th>Origin</th>\n",
-       "      <th>OriginAirportID</th>\n",
-       "      <th>OriginCityName</th>\n",
-       "      <th>OriginCountry</th>\n",
-       "      <th>OriginLocation</th>\n",
-       "      <th>OriginRegion</th>\n",
-       "      <th>OriginWeather</th>\n",
-       "      <th>dayOfWeek</th>\n",
-       "      <th>timestamp</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>0</th>\n",
-       "      <td>841.265642</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Kibana Airlines</td>\n",
-       "      <td>Sydney Kingsford Smith International Airport</td>\n",
-       "      <td>SYD</td>\n",
-       "      <td>Sydney</td>\n",
-       "      <td>AU</td>\n",
-       "      <td>{'lat': '-33.94609833', 'lon': '151.177002'}</td>\n",
-       "      <td>SE-BD</td>\n",
-       "      <td>Rain</td>\n",
-       "      <td>...</td>\n",
-       "      <td>1030.770416</td>\n",
-       "      <td>Frankfurt am Main Airport</td>\n",
-       "      <td>FRA</td>\n",
-       "      <td>Frankfurt am Main</td>\n",
-       "      <td>DE</td>\n",
-       "      <td>{'lat': '50.033333', 'lon': '8.570556'}</td>\n",
-       "      <td>DE-HE</td>\n",
-       "      <td>Sunny</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2019-05-27T00:00:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>882.982662</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Logstash Airways</td>\n",
-       "      <td>Venice Marco Polo Airport</td>\n",
-       "      <td>VE05</td>\n",
-       "      <td>Venice</td>\n",
-       "      <td>IT</td>\n",
-       "      <td>{'lat': '45.505299', 'lon': '12.3519'}</td>\n",
-       "      <td>IT-34</td>\n",
-       "      <td>Sunny</td>\n",
-       "      <td>...</td>\n",
-       "      <td>464.389481</td>\n",
-       "      <td>Cape Town International Airport</td>\n",
-       "      <td>CPT</td>\n",
-       "      <td>Cape Town</td>\n",
-       "      <td>ZA</td>\n",
-       "      <td>{'lat': '-33.96480179', 'lon': '18.60169983'}</td>\n",
-       "      <td>SE-BD</td>\n",
-       "      <td>Clear</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2019-05-27T18:27:00</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2</th>\n",
-       "      <td>190.636904</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Logstash Airways</td>\n",
-       "      <td>Venice Marco Polo Airport</td>\n",
-       "      <td>VE05</td>\n",
-       "      <td>Venice</td>\n",
-       "      <td>IT</td>\n",
-       "      <td>{'lat': '45.505299', 'lon': '12.3519'}</td>\n",
-       "      <td>IT-34</td>\n",
-       "      <td>Cloudy</td>\n",
-       "      <td>...</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>Venice Marco Polo Airport</td>\n",
-       "      <td>VE05</td>\n",
-       "      <td>Venice</td>\n",
-       "      <td>IT</td>\n",
-       "      <td>{'lat': '45.505299', 'lon': '12.3519'}</td>\n",
-       "      <td>IT-34</td>\n",
-       "      <td>Rain</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2019-05-27T17:11:14</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>3</th>\n",
-       "      <td>181.694216</td>\n",
-       "      <td>True</td>\n",
-       "      <td>Kibana Airlines</td>\n",
-       "      <td>Treviso-Sant'Angelo Airport</td>\n",
-       "      <td>TV01</td>\n",
-       "      <td>Treviso</td>\n",
-       "      <td>IT</td>\n",
-       "      <td>{'lat': '45.648399', 'lon': '12.1944'}</td>\n",
-       "      <td>IT-34</td>\n",
-       "      <td>Clear</td>\n",
-       "      <td>...</td>\n",
-       "      <td>222.749059</td>\n",
-       "      <td>Naples International Airport</td>\n",
-       "      <td>NA01</td>\n",
-       "      <td>Naples</td>\n",
-       "      <td>IT</td>\n",
-       "      <td>{'lat': '40.886002', 'lon': '14.2908'}</td>\n",
-       "      <td>IT-72</td>\n",
-       "      <td>Thunder &amp; Lightning</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2019-05-27T10:33:28</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>4</th>\n",
-       "      <td>730.041778</td>\n",
-       "      <td>False</td>\n",
-       "      <td>Kibana Airlines</td>\n",
-       "      <td>Xi'an Xianyang International Airport</td>\n",
-       "      <td>XIY</td>\n",
-       "      <td>Xi'an</td>\n",
-       "      <td>CN</td>\n",
-       "      <td>{'lat': '34.447102', 'lon': '108.751999'}</td>\n",
-       "      <td>SE-BD</td>\n",
-       "      <td>Clear</td>\n",
-       "      <td>...</td>\n",
-       "      <td>785.779071</td>\n",
-       "      <td>Licenciado Benito Juarez International Airport</td>\n",
-       "      <td>AICM</td>\n",
-       "      <td>Mexico City</td>\n",
-       "      <td>MX</td>\n",
-       "      <td>{'lat': '19.4363', 'lon': '-99.072098'}</td>\n",
-       "      <td>MX-DIF</td>\n",
-       "      <td>Damaging Wind</td>\n",
-       "      <td>0</td>\n",
-       "      <td>2019-05-27T05:13:00</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "<p>5 rows × 27 columns</p>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "   AvgTicketPrice  Cancelled           Carrier  \\\n",
-       "0      841.265642      False   Kibana Airlines   \n",
-       "1      882.982662      False  Logstash Airways   \n",
-       "2      190.636904      False  Logstash Airways   \n",
-       "3      181.694216       True   Kibana Airlines   \n",
-       "4      730.041778      False   Kibana Airlines   \n",
-       "\n",
-       "                                           Dest DestAirportID DestCityName  \\\n",
-       "0  Sydney Kingsford Smith International Airport           SYD       Sydney   \n",
-       "1                     Venice Marco Polo Airport          VE05       Venice   \n",
-       "2                     Venice Marco Polo Airport          VE05       Venice   \n",
-       "3                   Treviso-Sant'Angelo Airport          TV01      Treviso   \n",
-       "4          Xi'an Xianyang International Airport           XIY        Xi'an   \n",
-       "\n",
-       "  DestCountry                                  DestLocation DestRegion  \\\n",
-       "0          AU  {'lat': '-33.94609833', 'lon': '151.177002'}      SE-BD   \n",
-       "1          IT        {'lat': '45.505299', 'lon': '12.3519'}      IT-34   \n",
-       "2          IT        {'lat': '45.505299', 'lon': '12.3519'}      IT-34   \n",
-       "3          IT        {'lat': '45.648399', 'lon': '12.1944'}      IT-34   \n",
-       "4          CN     {'lat': '34.447102', 'lon': '108.751999'}      SE-BD   \n",
-       "\n",
-       "  DestWeather  ...  FlightTimeMin  \\\n",
-       "0        Rain  ...    1030.770416   \n",
-       "1       Sunny  ...     464.389481   \n",
-       "2      Cloudy  ...       0.000000   \n",
-       "3       Clear  ...     222.749059   \n",
-       "4       Clear  ...     785.779071   \n",
-       "\n",
-       "                                           Origin  OriginAirportID  \\\n",
-       "0                       Frankfurt am Main Airport              FRA   \n",
-       "1                 Cape Town International Airport              CPT   \n",
-       "2                       Venice Marco Polo Airport             VE05   \n",
-       "3                    Naples International Airport             NA01   \n",
-       "4  Licenciado Benito Juarez International Airport             AICM   \n",
-       "\n",
-       "      OriginCityName OriginCountry  \\\n",
-       "0  Frankfurt am Main            DE   \n",
-       "1          Cape Town            ZA   \n",
-       "2             Venice            IT   \n",
-       "3             Naples            IT   \n",
-       "4        Mexico City            MX   \n",
-       "\n",
-       "                                  OriginLocation  OriginRegion  \\\n",
-       "0        {'lat': '50.033333', 'lon': '8.570556'}         DE-HE   \n",
-       "1  {'lat': '-33.96480179', 'lon': '18.60169983'}         SE-BD   \n",
-       "2         {'lat': '45.505299', 'lon': '12.3519'}         IT-34   \n",
-       "3         {'lat': '40.886002', 'lon': '14.2908'}         IT-72   \n",
-       "4        {'lat': '19.4363', 'lon': '-99.072098'}        MX-DIF   \n",
-       "\n",
-       "         OriginWeather dayOfWeek            timestamp  \n",
-       "0                Sunny         0  2019-05-27T00:00:00  \n",
-       "1                Clear         0  2019-05-27T18:27:00  \n",
-       "2                 Rain         0  2019-05-27T17:11:14  \n",
-       "3  Thunder & Lightning         0  2019-05-27T10:33:28  \n",
-       "4        Damaging Wind         0  2019-05-27T05:13:00  \n",
-       "\n",
-       "[5 rows x 27 columns]"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.head()"
-   ]
-  },
-  {
-   "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>AvgTicketPrice</th>\n",
-       "      <th>DistanceKilometers</th>\n",
-       "      <th>DistanceMiles</th>\n",
-       "      <th>FlightDelayMin</th>\n",
-       "      <th>FlightTimeMin</th>\n",
-       "      <th>dayOfWeek</th>\n",
-       "    </tr>\n",
-       "  </thead>\n",
-       "  <tbody>\n",
-       "    <tr>\n",
-       "      <th>count</th>\n",
-       "      <td>13059.000000</td>\n",
-       "      <td>13059.000000</td>\n",
-       "      <td>13059.000000</td>\n",
-       "      <td>13059.000000</td>\n",
-       "      <td>13059.000000</td>\n",
-       "      <td>13059.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>mean</th>\n",
-       "      <td>628.253689</td>\n",
-       "      <td>7092.142457</td>\n",
-       "      <td>4406.853010</td>\n",
-       "      <td>47.335171</td>\n",
-       "      <td>511.127842</td>\n",
-       "      <td>2.835975</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>std</th>\n",
-       "      <td>266.386661</td>\n",
-       "      <td>4578.263193</td>\n",
-       "      <td>2844.800855</td>\n",
-       "      <td>96.743006</td>\n",
-       "      <td>334.741135</td>\n",
-       "      <td>1.939365</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>min</th>\n",
-       "      <td>100.020531</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>25%</th>\n",
-       "      <td>410.008918</td>\n",
-       "      <td>2470.545974</td>\n",
-       "      <td>1535.126118</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>251.682199</td>\n",
-       "      <td>1.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>50%</th>\n",
-       "      <td>640.362374</td>\n",
-       "      <td>7612.072403</td>\n",
-       "      <td>4729.922470</td>\n",
-       "      <td>0.000000</td>\n",
-       "      <td>503.148975</td>\n",
-       "      <td>3.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>75%</th>\n",
-       "      <td>842.260482</td>\n",
-       "      <td>9735.660463</td>\n",
-       "      <td>6049.459005</td>\n",
-       "      <td>14.102113</td>\n",
-       "      <td>720.569838</td>\n",
-       "      <td>4.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>max</th>\n",
-       "      <td>1199.729004</td>\n",
-       "      <td>19881.482422</td>\n",
-       "      <td>12353.780273</td>\n",
-       "      <td>360.000000</td>\n",
-       "      <td>1902.901978</td>\n",
-       "      <td>6.000000</td>\n",
-       "    </tr>\n",
-       "  </tbody>\n",
-       "</table>\n",
-       "</div>"
-      ],
-      "text/plain": [
-       "       AvgTicketPrice  DistanceKilometers  DistanceMiles  FlightDelayMin  \\\n",
-       "count    13059.000000        13059.000000   13059.000000    13059.000000   \n",
-       "mean       628.253689         7092.142457    4406.853010       47.335171   \n",
-       "std        266.386661         4578.263193    2844.800855       96.743006   \n",
-       "min        100.020531            0.000000       0.000000        0.000000   \n",
-       "25%        410.008918         2470.545974    1535.126118        0.000000   \n",
-       "50%        640.362374         7612.072403    4729.922470        0.000000   \n",
-       "75%        842.260482         9735.660463    6049.459005       14.102113   \n",
-       "max       1199.729004        19881.482422   12353.780273      360.000000   \n",
-       "\n",
-       "       FlightTimeMin     dayOfWeek  \n",
-       "count   13059.000000  13059.000000  \n",
-       "mean      511.127842      2.835975  \n",
-       "std       334.741135      1.939365  \n",
-       "min         0.000000      0.000000  \n",
-       "25%       251.682199      1.000000  \n",
-       "50%       503.148975      3.000000  \n",
-       "75%       720.569838      4.000000  \n",
-       "max      1902.901978      6.000000  "
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "df.describe()"
-   ]
-  },
   {
    "cell_type": "markdown",
    "metadata": {},
@@ -420,7 +9,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -429,7 +18,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -438,7 +27,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -671,7 +260,7 @@
        "[5 rows x 27 columns]"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -682,7 +271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -822,7 +411,7 @@
        "max         31.715034    1902.902032      6.000000  "
       ]
      },
-     "execution_count": 8,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -830,6 +419,419 @@
    "source": [
     "pd_df.describe()"
    ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# Eland"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import eland as ed"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "ed_df = ed.read_es('localhost', 'kibana_sample_data_flights')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {
+    "scrolled": true
+   },
+   "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>AvgTicketPrice</th>\n",
+       "      <th>Cancelled</th>\n",
+       "      <th>Carrier</th>\n",
+       "      <th>Dest</th>\n",
+       "      <th>DestAirportID</th>\n",
+       "      <th>DestCityName</th>\n",
+       "      <th>DestCountry</th>\n",
+       "      <th>DestLocation</th>\n",
+       "      <th>DestRegion</th>\n",
+       "      <th>DestWeather</th>\n",
+       "      <th>...</th>\n",
+       "      <th>FlightTimeMin</th>\n",
+       "      <th>Origin</th>\n",
+       "      <th>OriginAirportID</th>\n",
+       "      <th>OriginCityName</th>\n",
+       "      <th>OriginCountry</th>\n",
+       "      <th>OriginLocation</th>\n",
+       "      <th>OriginRegion</th>\n",
+       "      <th>OriginWeather</th>\n",
+       "      <th>dayOfWeek</th>\n",
+       "      <th>timestamp</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>841.265642</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Kibana Airlines</td>\n",
+       "      <td>Sydney Kingsford Smith International Airport</td>\n",
+       "      <td>SYD</td>\n",
+       "      <td>Sydney</td>\n",
+       "      <td>AU</td>\n",
+       "      <td>{'lat': '-33.94609833', 'lon': '151.177002'}</td>\n",
+       "      <td>SE-BD</td>\n",
+       "      <td>Rain</td>\n",
+       "      <td>...</td>\n",
+       "      <td>1030.770416</td>\n",
+       "      <td>Frankfurt am Main Airport</td>\n",
+       "      <td>FRA</td>\n",
+       "      <td>Frankfurt am Main</td>\n",
+       "      <td>DE</td>\n",
+       "      <td>{'lat': '50.033333', 'lon': '8.570556'}</td>\n",
+       "      <td>DE-HE</td>\n",
+       "      <td>Sunny</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2019-05-27T00:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>882.982662</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Logstash Airways</td>\n",
+       "      <td>Venice Marco Polo Airport</td>\n",
+       "      <td>VE05</td>\n",
+       "      <td>Venice</td>\n",
+       "      <td>IT</td>\n",
+       "      <td>{'lat': '45.505299', 'lon': '12.3519'}</td>\n",
+       "      <td>IT-34</td>\n",
+       "      <td>Sunny</td>\n",
+       "      <td>...</td>\n",
+       "      <td>464.389481</td>\n",
+       "      <td>Cape Town International Airport</td>\n",
+       "      <td>CPT</td>\n",
+       "      <td>Cape Town</td>\n",
+       "      <td>ZA</td>\n",
+       "      <td>{'lat': '-33.96480179', 'lon': '18.60169983'}</td>\n",
+       "      <td>SE-BD</td>\n",
+       "      <td>Clear</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2019-05-27T18:27:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>190.636904</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Logstash Airways</td>\n",
+       "      <td>Venice Marco Polo Airport</td>\n",
+       "      <td>VE05</td>\n",
+       "      <td>Venice</td>\n",
+       "      <td>IT</td>\n",
+       "      <td>{'lat': '45.505299', 'lon': '12.3519'}</td>\n",
+       "      <td>IT-34</td>\n",
+       "      <td>Cloudy</td>\n",
+       "      <td>...</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>Venice Marco Polo Airport</td>\n",
+       "      <td>VE05</td>\n",
+       "      <td>Venice</td>\n",
+       "      <td>IT</td>\n",
+       "      <td>{'lat': '45.505299', 'lon': '12.3519'}</td>\n",
+       "      <td>IT-34</td>\n",
+       "      <td>Rain</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2019-05-27T17:11:14</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>181.694216</td>\n",
+       "      <td>True</td>\n",
+       "      <td>Kibana Airlines</td>\n",
+       "      <td>Treviso-Sant'Angelo Airport</td>\n",
+       "      <td>TV01</td>\n",
+       "      <td>Treviso</td>\n",
+       "      <td>IT</td>\n",
+       "      <td>{'lat': '45.648399', 'lon': '12.1944'}</td>\n",
+       "      <td>IT-34</td>\n",
+       "      <td>Clear</td>\n",
+       "      <td>...</td>\n",
+       "      <td>222.749059</td>\n",
+       "      <td>Naples International Airport</td>\n",
+       "      <td>NA01</td>\n",
+       "      <td>Naples</td>\n",
+       "      <td>IT</td>\n",
+       "      <td>{'lat': '40.886002', 'lon': '14.2908'}</td>\n",
+       "      <td>IT-72</td>\n",
+       "      <td>Thunder &amp; Lightning</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2019-05-27T10:33:28</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>730.041778</td>\n",
+       "      <td>False</td>\n",
+       "      <td>Kibana Airlines</td>\n",
+       "      <td>Xi'an Xianyang International Airport</td>\n",
+       "      <td>XIY</td>\n",
+       "      <td>Xi'an</td>\n",
+       "      <td>CN</td>\n",
+       "      <td>{'lat': '34.447102', 'lon': '108.751999'}</td>\n",
+       "      <td>SE-BD</td>\n",
+       "      <td>Clear</td>\n",
+       "      <td>...</td>\n",
+       "      <td>785.779071</td>\n",
+       "      <td>Licenciado Benito Juarez International Airport</td>\n",
+       "      <td>AICM</td>\n",
+       "      <td>Mexico City</td>\n",
+       "      <td>MX</td>\n",
+       "      <td>{'lat': '19.4363', 'lon': '-99.072098'}</td>\n",
+       "      <td>MX-DIF</td>\n",
+       "      <td>Damaging Wind</td>\n",
+       "      <td>0</td>\n",
+       "      <td>2019-05-27T05:13:00</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>5 rows × 27 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   AvgTicketPrice  Cancelled           Carrier  \\\n",
+       "0      841.265642      False   Kibana Airlines   \n",
+       "1      882.982662      False  Logstash Airways   \n",
+       "2      190.636904      False  Logstash Airways   \n",
+       "3      181.694216       True   Kibana Airlines   \n",
+       "4      730.041778      False   Kibana Airlines   \n",
+       "\n",
+       "                                           Dest DestAirportID DestCityName  \\\n",
+       "0  Sydney Kingsford Smith International Airport           SYD       Sydney   \n",
+       "1                     Venice Marco Polo Airport          VE05       Venice   \n",
+       "2                     Venice Marco Polo Airport          VE05       Venice   \n",
+       "3                   Treviso-Sant'Angelo Airport          TV01      Treviso   \n",
+       "4          Xi'an Xianyang International Airport           XIY        Xi'an   \n",
+       "\n",
+       "  DestCountry                                  DestLocation DestRegion  \\\n",
+       "0          AU  {'lat': '-33.94609833', 'lon': '151.177002'}      SE-BD   \n",
+       "1          IT        {'lat': '45.505299', 'lon': '12.3519'}      IT-34   \n",
+       "2          IT        {'lat': '45.505299', 'lon': '12.3519'}      IT-34   \n",
+       "3          IT        {'lat': '45.648399', 'lon': '12.1944'}      IT-34   \n",
+       "4          CN     {'lat': '34.447102', 'lon': '108.751999'}      SE-BD   \n",
+       "\n",
+       "  DestWeather  ...  FlightTimeMin  \\\n",
+       "0        Rain  ...    1030.770416   \n",
+       "1       Sunny  ...     464.389481   \n",
+       "2      Cloudy  ...       0.000000   \n",
+       "3       Clear  ...     222.749059   \n",
+       "4       Clear  ...     785.779071   \n",
+       "\n",
+       "                                           Origin  OriginAirportID  \\\n",
+       "0                       Frankfurt am Main Airport              FRA   \n",
+       "1                 Cape Town International Airport              CPT   \n",
+       "2                       Venice Marco Polo Airport             VE05   \n",
+       "3                    Naples International Airport             NA01   \n",
+       "4  Licenciado Benito Juarez International Airport             AICM   \n",
+       "\n",
+       "      OriginCityName OriginCountry  \\\n",
+       "0  Frankfurt am Main            DE   \n",
+       "1          Cape Town            ZA   \n",
+       "2             Venice            IT   \n",
+       "3             Naples            IT   \n",
+       "4        Mexico City            MX   \n",
+       "\n",
+       "                                  OriginLocation  OriginRegion  \\\n",
+       "0        {'lat': '50.033333', 'lon': '8.570556'}         DE-HE   \n",
+       "1  {'lat': '-33.96480179', 'lon': '18.60169983'}         SE-BD   \n",
+       "2         {'lat': '45.505299', 'lon': '12.3519'}         IT-34   \n",
+       "3         {'lat': '40.886002', 'lon': '14.2908'}         IT-72   \n",
+       "4        {'lat': '19.4363', 'lon': '-99.072098'}        MX-DIF   \n",
+       "\n",
+       "         OriginWeather dayOfWeek            timestamp  \n",
+       "0                Sunny         0  2019-05-27T00:00:00  \n",
+       "1                Clear         0  2019-05-27T18:27:00  \n",
+       "2                 Rain         0  2019-05-27T17:11:14  \n",
+       "3  Thunder & Lightning         0  2019-05-27T10:33:28  \n",
+       "4        Damaging Wind         0  2019-05-27T05:13:00  \n",
+       "\n",
+       "[5 rows x 27 columns]"
+      ]
+     },
+     "execution_count": 7,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ed_df.head()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "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>AvgTicketPrice</th>\n",
+       "      <th>DistanceKilometers</th>\n",
+       "      <th>DistanceMiles</th>\n",
+       "      <th>FlightDelayMin</th>\n",
+       "      <th>FlightTimeMin</th>\n",
+       "      <th>dayOfWeek</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>count</th>\n",
+       "      <td>13059.000000</td>\n",
+       "      <td>13059.000000</td>\n",
+       "      <td>13059.000000</td>\n",
+       "      <td>13059.000000</td>\n",
+       "      <td>13059.000000</td>\n",
+       "      <td>13059.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mean</th>\n",
+       "      <td>628.253689</td>\n",
+       "      <td>7092.142457</td>\n",
+       "      <td>4406.853010</td>\n",
+       "      <td>47.335171</td>\n",
+       "      <td>511.127842</td>\n",
+       "      <td>2.835975</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>std</th>\n",
+       "      <td>266.386661</td>\n",
+       "      <td>4578.263193</td>\n",
+       "      <td>2844.800855</td>\n",
+       "      <td>96.743006</td>\n",
+       "      <td>334.741135</td>\n",
+       "      <td>1.939365</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>min</th>\n",
+       "      <td>100.020531</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>0.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>25%</th>\n",
+       "      <td>410.008918</td>\n",
+       "      <td>2470.545974</td>\n",
+       "      <td>1535.126118</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>252.064162</td>\n",
+       "      <td>1.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>50%</th>\n",
+       "      <td>640.387285</td>\n",
+       "      <td>7612.072403</td>\n",
+       "      <td>4729.922470</td>\n",
+       "      <td>0.000000</td>\n",
+       "      <td>503.148975</td>\n",
+       "      <td>3.000000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>75%</th>\n",
+       "      <td>842.259390</td>\n",
+       "      <td>9735.660463</td>\n",
+       "      <td>6049.583389</td>\n",
+       "      <td>15.000000</td>\n",
+       "      <td>720.505705</td>\n",
+       "      <td>4.068000</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max</th>\n",
+       "      <td>1199.729004</td>\n",
+       "      <td>19881.482422</td>\n",
+       "      <td>12353.780273</td>\n",
+       "      <td>360.000000</td>\n",
+       "      <td>1902.901978</td>\n",
+       "      <td>6.000000</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "       AvgTicketPrice  DistanceKilometers  DistanceMiles  FlightDelayMin  \\\n",
+       "count    13059.000000        13059.000000   13059.000000    13059.000000   \n",
+       "mean       628.253689         7092.142457    4406.853010       47.335171   \n",
+       "std        266.386661         4578.263193    2844.800855       96.743006   \n",
+       "min        100.020531            0.000000       0.000000        0.000000   \n",
+       "25%        410.008918         2470.545974    1535.126118        0.000000   \n",
+       "50%        640.387285         7612.072403    4729.922470        0.000000   \n",
+       "75%        842.259390         9735.660463    6049.583389       15.000000   \n",
+       "max       1199.729004        19881.482422   12353.780273      360.000000   \n",
+       "\n",
+       "       FlightTimeMin     dayOfWeek  \n",
+       "count   13059.000000  13059.000000  \n",
+       "mean      511.127842      2.835975  \n",
+       "std       334.741135      1.939365  \n",
+       "min         0.000000      0.000000  \n",
+       "25%       252.064162      1.000000  \n",
+       "50%       503.148975      3.000000  \n",
+       "75%       720.505705      4.068000  \n",
+       "max      1902.901978      6.000000  "
+      ]
+     },
+     "execution_count": 8,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "ed_df.describe()"
+   ]
   }
  ],
  "metadata": {