2. Learning about Trade Data.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Goals 2\n",
    "## Given some trade data over time, can we predict future trade numbers, per country and per species?\n",
    "\n",
    "This notebook is a little more traditional data science, we'll look at the trade data and see what we can learn from it. Finally, we'll use linear regression to see if we can predict future trade numbers for a country and for a species...\n",
    "\n",
    "\n",
    "\n",
    "Sankey diagram for a country, showing flow of trade\n",
    "Top exporting countries\n",
    "top exported species\n",
    "logistic regression on total exports/imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import pandas as pd\n",
    "import matplotlib.pyplot as plt\n",
    "import matplotlib\n",
    "from sklearn import datasets, linear_model\n",
    "from sklearn.metrics import mean_squared_error, r2_score\n",
    "from sklearn.model_selection import train_test_split\n",
    "from sklearn.svm import SVR"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### About the dataset\n",
    "\n",
    "The data available it quite a lot and may kill the website when downloading it, so we'll limit ourselves initially to looking at data from 1975 - 2017 where UK is the exporting country."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
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       "      <th>Taxon</th>\n",
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       "      <td>Equus przewalskii</td>\n",
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       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>CA</td>\n",
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       "      <td>Sauria</td>\n",
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       "      <td>Varanus griseus</td>\n",
       "      <td>Reptilia</td>\n",
       "      <td>Sauria</td>\n",
       "      <td>Varanidae</td>\n",
       "      <td>Varanus</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>1228.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1975</td>\n",
       "      <td>II</td>\n",
       "      <td>Branta ruficollis</td>\n",
       "      <td>Aves</td>\n",
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       "      <td>Anatidae</td>\n",
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       "      <td>1975</td>\n",
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       "      <td>Leopardus pardalis</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Leopardus</td>\n",
       "      <td>CA</td>\n",
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       "      <td>CA</td>\n",
       "      <td>273.0</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1975</td>\n",
       "      <td>II</td>\n",
       "      <td>Leopardus wiedii</td>\n",
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       "      <td>Felidae</td>\n",
       "      <td>Leopardus</td>\n",
       "      <td>CA</td>\n",
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       "      <td>551.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
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       "      <th>7</th>\n",
       "      <td>1975</td>\n",
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       "      <td>Diceros bicornis</td>\n",
       "      <td>Mammalia</td>\n",
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       "      <td>Rhinocerotidae</td>\n",
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       "      <td>trophies</td>\n",
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       "      <td>Asarcornis scutulata</td>\n",
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       "      <td>Asarcornis</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
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       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
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       "      <th>10</th>\n",
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       "      <td>I</td>\n",
       "      <td>Branta sandvicensis</td>\n",
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       "      <td>Cercopithecus diana</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Primates</td>\n",
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       "      <td>NaN</td>\n",
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       "      <th>12</th>\n",
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       "      <td>I</td>\n",
       "      <td>Rucervus duvaucelii</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Artiodactyla</td>\n",
       "      <td>Cervidae</td>\n",
       "      <td>Rucervus</td>\n",
       "      <td>DE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
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       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Crocodylus siamensis</td>\n",
       "      <td>Reptilia</td>\n",
       "      <td>Crocodylia</td>\n",
       "      <td>Crocodylidae</td>\n",
       "      <td>Crocodylus</td>\n",
       "      <td>ES</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Elephas maximus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Proboscidea</td>\n",
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       "      <td>Elephas</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
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       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>C</td>\n",
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       "      <th>15</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Elephas maximus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Proboscidea</td>\n",
       "      <td>Elephantidae</td>\n",
       "      <td>Elephas</td>\n",
       "      <td>FR</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Elephas maximus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Proboscidea</td>\n",
       "      <td>Elephantidae</td>\n",
       "      <td>Elephas</td>\n",
       "      <td>OM</td>\n",
       "      <td>GB</td>\n",
       "      <td>IN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Elephas maximus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Proboscidea</td>\n",
       "      <td>Elephantidae</td>\n",
       "      <td>Elephas</td>\n",
       "      <td>PT</td>\n",
       "      <td>GB</td>\n",
       "      <td>IN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Equus przewalskii</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Perissodactyla</td>\n",
       "      <td>Equidae</td>\n",
       "      <td>Equus</td>\n",
       "      <td>DD</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
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       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Falco peregrinus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Falconiformes</td>\n",
       "      <td>Falconidae</td>\n",
       "      <td>Falco</td>\n",
       "      <td>SE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
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       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Acinonyx jubatus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Acinonyx</td>\n",
       "      <td>AE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Catopuma temminckii</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Catopuma</td>\n",
       "      <td>ES</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Leopardus jacobitus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Leopardus</td>\n",
       "      <td>ES</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>84.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Leopardus pardalis mearnsi</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Leopardus</td>\n",
       "      <td>ES</td>\n",
       "      <td>GB</td>\n",
       "      <td>AR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>104.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>AT</td>\n",
       "      <td>GB</td>\n",
       "      <td>BR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>49.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>AT</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>61.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>BE</td>\n",
       "      <td>GB</td>\n",
       "      <td>BR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>91.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>BE</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>BR</td>\n",
       "      <td>NaN</td>\n",
       "      <td>74.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>PY</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49339</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Martes flavigula</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Martes</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>RU</td>\n",
       "      <td>4.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>specimens</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49340</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>CN</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4201.00000</td>\n",
       "      <td>hair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49341</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>LK</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>7.00000</td>\n",
       "      <td>hair</td>\n",
       "      <td>kg</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49342</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>4032.15972</td>\n",
       "      <td>hair</td>\n",
       "      <td>kg</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49343</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>hair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49344</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>47089.0</td>\n",
       "      <td>25813.00000</td>\n",
       "      <td>hair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49345</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>hair products</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49346</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>53489.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>hair products</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49347</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>RU</td>\n",
       "      <td>44.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>hair products</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49348</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>RU</td>\n",
       "      <td>9.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>hair products</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49349</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>RU</td>\n",
       "      <td>30.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>specimens</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49350</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>XX</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5366.00000</td>\n",
       "      <td>hair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49351</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>AU</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.00000</td>\n",
       "      <td>carvings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49352</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>HK</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>teeth</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49353</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>KR</td>\n",
       "      <td>GB</td>\n",
       "      <td>CA</td>\n",
       "      <td>NaN</td>\n",
       "      <td>500.00000</td>\n",
       "      <td>ivory pieces</td>\n",
       "      <td>kg</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49354</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>NZ</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>carvings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49355</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>NZ</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ivory carvings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49356</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>carvings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49357</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>5.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ivory carvings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49358</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>ivory pieces</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49359</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Lodoicea maldivica</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Arecales</td>\n",
       "      <td>Palmae</td>\n",
       "      <td>Lodoicea</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>seeds</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49360</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>IN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>feathers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49361</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>KE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>feathers</td>\n",
       "      <td>kg</td>\n",
       "      <td>T</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49362</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>KE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>feathers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49363</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>500.00000</td>\n",
       "      <td>feathers</td>\n",
       "      <td>kg</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49364</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>3830.0</td>\n",
       "      <td>150.00000</td>\n",
       "      <td>feathers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49365</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>bodies</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49366</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>bodies</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49367</th>\n",
       "      <td>2017</td>\n",
       "      <td>II</td>\n",
       "      <td>Alligator mississippiensis</td>\n",
       "      <td>Reptilia</td>\n",
       "      <td>Crocodylia</td>\n",
       "      <td>Alligatoridae</td>\n",
       "      <td>Alligator</td>\n",
       "      <td>MO</td>\n",
       "      <td>GB</td>\n",
       "      <td>US</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>leather products (small)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49368</th>\n",
       "      <td>2017</td>\n",
       "      <td>II</td>\n",
       "      <td>Varanus salvator</td>\n",
       "      <td>Reptilia</td>\n",
       "      <td>Sauria</td>\n",
       "      <td>Varanidae</td>\n",
       "      <td>Varanus</td>\n",
       "      <td>MO</td>\n",
       "      <td>GB</td>\n",
       "      <td>ID</td>\n",
       "      <td>2.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>leather products (small)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>49369 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Year App.                       Taxon     Class           Order  \\\n",
       "0      1975    I           Equus przewalskii  Mammalia  Perissodactyla   \n",
       "1      1975    I               Panthera onca  Mammalia       Carnivora   \n",
       "2      1975    I          Varanus flavescens  Reptilia          Sauria   \n",
       "3      1975    I             Varanus griseus  Reptilia          Sauria   \n",
       "4      1975   II           Branta ruficollis      Aves    Anseriformes   \n",
       "5      1975   II          Leopardus pardalis  Mammalia       Carnivora   \n",
       "6      1975   II            Leopardus wiedii  Mammalia       Carnivora   \n",
       "7      1975   II            Diceros bicornis  Mammalia  Perissodactyla   \n",
       "8      1976    I        Asarcornis scutulata      Aves    Anseriformes   \n",
       "9      1976    I         Branta sandvicensis      Aves    Anseriformes   \n",
       "10     1976    I         Branta sandvicensis      Aves    Anseriformes   \n",
       "11     1976    I         Cercopithecus diana  Mammalia        Primates   \n",
       "12     1976    I         Rucervus duvaucelii  Mammalia    Artiodactyla   \n",
       "13     1976    I        Crocodylus siamensis  Reptilia      Crocodylia   \n",
       "14     1976    I             Elephas maximus  Mammalia     Proboscidea   \n",
       "15     1976    I             Elephas maximus  Mammalia     Proboscidea   \n",
       "16     1976    I             Elephas maximus  Mammalia     Proboscidea   \n",
       "17     1976    I             Elephas maximus  Mammalia     Proboscidea   \n",
       "18     1976    I           Equus przewalskii  Mammalia  Perissodactyla   \n",
       "19     1976    I            Falco peregrinus      Aves   Falconiformes   \n",
       "20     1976    I            Acinonyx jubatus  Mammalia       Carnivora   \n",
       "21     1976    I         Catopuma temminckii  Mammalia       Carnivora   \n",
       "22     1976    I         Leopardus jacobitus  Mammalia       Carnivora   \n",
       "23     1976    I  Leopardus pardalis mearnsi  Mammalia       Carnivora   \n",
       "24     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "25     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "26     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "27     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "28     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "29     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "...     ...  ...                         ...       ...             ...   \n",
       "49339  2016  III            Martes flavigula  Mammalia       Carnivora   \n",
       "49340  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49341  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49342  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49343  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49344  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49345  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49346  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49347  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49348  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49349  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49350  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49351  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49352  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49353  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49354  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49355  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49356  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49357  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49358  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49359  2016  III          Lodoicea maldivica       NaN        Arecales   \n",
       "49360  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49361  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49362  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49363  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49364  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49365  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49366  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49367  2017   II  Alligator mississippiensis  Reptilia      Crocodylia   \n",
       "49368  2017   II            Varanus salvator  Reptilia          Sauria   \n",
       "\n",
       "                Family          Genus Importer Exporter Origin  \\\n",
       "0              Equidae          Equus       SE       GB    NaN   \n",
       "1              Felidae       Panthera       CA       GB     CA   \n",
       "2            Varanidae        Varanus       CH       GB     XX   \n",
       "3            Varanidae        Varanus       CH       GB    NaN   \n",
       "4             Anatidae         Branta       CH       GB    NaN   \n",
       "5              Felidae      Leopardus       CA       GB     CA   \n",
       "6              Felidae      Leopardus       CA       GB     CA   \n",
       "7       Rhinocerotidae        Diceros       CH       GB    NaN   \n",
       "8             Anatidae     Asarcornis       US       GB     XX   \n",
       "9             Anatidae         Branta       AT       GB    NaN   \n",
       "10            Anatidae         Branta       CA       GB    NaN   \n",
       "11     Cercopithecidae  Cercopithecus       ZA       GB     XX   \n",
       "12            Cervidae       Rucervus       DE       GB    NaN   \n",
       "13        Crocodylidae     Crocodylus       ES       GB     XX   \n",
       "14        Elephantidae        Elephas       CH       GB     CH   \n",
       "15        Elephantidae        Elephas       FR       GB    NaN   \n",
       "16        Elephantidae        Elephas       OM       GB     IN   \n",
       "17        Elephantidae        Elephas       PT       GB     IN   \n",
       "18             Equidae          Equus       DD       GB    NaN   \n",
       "19          Falconidae          Falco       SE       GB    NaN   \n",
       "20             Felidae       Acinonyx       AE       GB    NaN   \n",
       "21             Felidae       Catopuma       ES       GB     XX   \n",
       "22             Felidae      Leopardus       ES       GB     XX   \n",
       "23             Felidae      Leopardus       ES       GB     AR   \n",
       "24             Felidae       Panthera       AT       GB     BR   \n",
       "25             Felidae       Panthera       AT       GB     XX   \n",
       "26             Felidae       Panthera       BE       GB     BR   \n",
       "27             Felidae       Panthera       BE       GB     XX   \n",
       "28             Felidae       Panthera       CH       GB     BR   \n",
       "29             Felidae       Panthera       CH       GB     PY   \n",
       "...                ...            ...      ...      ...    ...   \n",
       "49339       Mustelidae         Martes       US       GB     RU   \n",
       "49340       Mustelidae        Mustela       CN       GB     CN   \n",
       "49341       Mustelidae        Mustela       LK       GB     CN   \n",
       "49342       Mustelidae        Mustela       US       GB     CN   \n",
       "49343       Mustelidae        Mustela       US       GB     CN   \n",
       "49344       Mustelidae        Mustela       US       GB     CN   \n",
       "49345       Mustelidae        Mustela       US       GB     CN   \n",
       "49346       Mustelidae        Mustela       US       GB     CN   \n",
       "49347       Mustelidae        Mustela       US       GB     RU   \n",
       "49348       Mustelidae        Mustela       US       GB     RU   \n",
       "49349       Mustelidae        Mustela       US       GB     RU   \n",
       "49350       Mustelidae        Mustela       XX       GB     CN   \n",
       "49351       Odobenidae       Odobenus       AU       GB     XX   \n",
       "49352       Odobenidae       Odobenus       HK       GB     XX   \n",
       "49353       Odobenidae       Odobenus       KR       GB     CA   \n",
       "49354       Odobenidae       Odobenus       NZ       GB     XX   \n",
       "49355       Odobenidae       Odobenus       NZ       GB     XX   \n",
       "49356       Odobenidae       Odobenus       US       GB     XX   \n",
       "49357       Odobenidae       Odobenus       US       GB     XX   \n",
       "49358       Odobenidae       Odobenus       US       GB     XX   \n",
       "49359           Palmae       Lodoicea       US       GB     XX   \n",
       "49360      Phasianidae           Pavo       CH       GB     IN   \n",
       "49361      Phasianidae           Pavo       KE       GB    NaN   \n",
       "49362      Phasianidae           Pavo       KE       GB    NaN   \n",
       "49363      Phasianidae           Pavo       US       GB     CN   \n",
       "49364      Phasianidae           Pavo       US       GB     CN   \n",
       "49365      Phasianidae           Pavo       US       GB     XX   \n",
       "49366      Phasianidae           Pavo       US       GB    NaN   \n",
       "49367    Alligatoridae      Alligator       MO       GB     US   \n",
       "49368        Varanidae        Varanus       MO       GB     ID   \n",
       "\n",
       "       Importer reported quantity  Exporter reported quantity  \\\n",
       "0                             2.0                         NaN   \n",
       "1                             6.0                         NaN   \n",
       "2                          5442.0                         NaN   \n",
       "3                          1228.0                         NaN   \n",
       "4                             2.0                         NaN   \n",
       "5                           273.0                         NaN   \n",
       "6                           551.0                         NaN   \n",
       "7                             1.0                         NaN   \n",
       "8                             NaN                     2.00000   \n",
       "9                             NaN                     2.00000   \n",
       "10                            2.0                         NaN   \n",
       "11                            2.0                         NaN   \n",
       "12                            NaN                     1.00000   \n",
       "13                            NaN                     2.00000   \n",
       "14                            NaN                     2.00000   \n",
       "15                            5.0                         NaN   \n",
       "16                            NaN                     4.00000   \n",
       "17                            NaN                     3.00000   \n",
       "18                            NaN                     2.00000   \n",
       "19                            3.0                         NaN   \n",
       "20                            NaN                     2.00000   \n",
       "21                            NaN                     1.00000   \n",
       "22                            NaN                    84.00000   \n",
       "23                            NaN                   104.00000   \n",
       "24                            NaN                    49.00000   \n",
       "25                            NaN                    61.00000   \n",
       "26                            NaN                    91.00000   \n",
       "27                            NaN                     2.00000   \n",
       "28                            NaN                    74.00000   \n",
       "29                            NaN                     5.00000   \n",
       "...                           ...                         ...   \n",
       "49339                         4.0                         NaN   \n",
       "49340                         NaN                  4201.00000   \n",
       "49341                         NaN                     7.00000   \n",
       "49342                         NaN                  4032.15972   \n",
       "49343                         2.0                         NaN   \n",
       "49344                     47089.0                 25813.00000   \n",
       "49345                        37.0                         NaN   \n",
       "49346                     53489.0                         NaN   \n",
       "49347                        44.0                         NaN   \n",
       "49348                         9.0                         NaN   \n",
       "49349                        30.0                         NaN   \n",
       "49350                         NaN                  5366.00000   \n",
       "49351                         NaN                     3.00000   \n",
       "49352                         1.0                         NaN   \n",
       "49353                         NaN                   500.00000   \n",
       "49354                         NaN                     1.00000   \n",
       "49355                         1.0                         NaN   \n",
       "49356                         NaN                     1.00000   \n",
       "49357                         5.0                         NaN   \n",
       "49358                         1.0                         NaN   \n",
       "49359                         NaN                     1.00000   \n",
       "49360                         NaN                     1.00000   \n",
       "49361                        20.0                         NaN   \n",
       "49362                      2500.0                         NaN   \n",
       "49363                         NaN                   500.00000   \n",
       "49364                      3830.0                   150.00000   \n",
       "49365                         1.0                         NaN   \n",
       "49366                         1.0                         NaN   \n",
       "49367                         1.0                         NaN   \n",
       "49368                         2.0                         NaN   \n",
       "\n",
       "                           Term Unit Purpose Source  \n",
       "0                          live  NaN       Z      C  \n",
       "1                         skins  NaN     NaN    NaN  \n",
       "2                         skins  NaN     NaN    NaN  \n",
       "3                         skins  NaN     NaN    NaN  \n",
       "4                          live  NaN       P      C  \n",
       "5                         skins  NaN     NaN    NaN  \n",
       "6                         skins  NaN     NaN    NaN  \n",
       "7                      trophies  NaN     NaN    NaN  \n",
       "8                          live  NaN     NaN    NaN  \n",
       "9                          live  NaN     NaN      C  \n",
       "10                         live  NaN       Z    NaN  \n",
       "11                         live  NaN       Z    NaN  \n",
       "12                         live  NaN     NaN      C  \n",
       "13                         live  NaN       Q    NaN  \n",
       "14                         live  NaN       Q      C  \n",
       "15                         live  NaN       Q    NaN  \n",
       "16                         live  NaN       Q    NaN  \n",
       "17                         live  NaN       Q    NaN  \n",
       "18                         live  NaN     NaN      C  \n",
       "19                         live  NaN       B    NaN  \n",
       "20                         live  NaN     NaN      C  \n",
       "21                         live  NaN     NaN    NaN  \n",
       "22                        skins  NaN     NaN    NaN  \n",
       "23                        skins  NaN     NaN    NaN  \n",
       "24                        skins  NaN     NaN    NaN  \n",
       "25                        skins  NaN     NaN    NaN  \n",
       "26                        skins  NaN     NaN    NaN  \n",
       "27                        skins  NaN     NaN    NaN  \n",
       "28                        skins  NaN     NaN    NaN  \n",
       "29                        skins  NaN     NaN    NaN  \n",
       "...                         ...  ...     ...    ...  \n",
       "49339                 specimens  NaN       S      W  \n",
       "49340                      hair  NaN       T      W  \n",
       "49341                      hair   kg       T      W  \n",
       "49342                      hair   kg       T      W  \n",
       "49343                      hair  NaN       P      I  \n",
       "49344                      hair  NaN       T      W  \n",
       "49345             hair products  NaN       P      I  \n",
       "49346             hair products  NaN       T      W  \n",
       "49347             hair products  NaN       P      I  \n",
       "49348             hair products  NaN       T      I  \n",
       "49349                 specimens  NaN       S      W  \n",
       "49350                      hair  NaN       T      W  \n",
       "49351                  carvings  NaN       T      O  \n",
       "49352                     teeth  NaN       T      O  \n",
       "49353              ivory pieces   kg       T      W  \n",
       "49354                  carvings  NaN       T      O  \n",
       "49355            ivory carvings  NaN       T      O  \n",
       "49356                  carvings  NaN       T      O  \n",
       "49357            ivory carvings  NaN       T      O  \n",
       "49358              ivory pieces  NaN       P      O  \n",
       "49359                     seeds  NaN       T      O  \n",
       "49360                  feathers  NaN       T      W  \n",
       "49361                  feathers   kg       T      C  \n",
       "49362                  feathers  NaN       T      C  \n",
       "49363                  feathers   kg       T      O  \n",
       "49364                  feathers  NaN       T      O  \n",
       "49365                    bodies  NaN       Q      O  \n",
       "49366                    bodies  NaN       T      C  \n",
       "49367  leather products (small)  NaN       T      W  \n",
       "49368  leather products (small)  NaN       T      W  \n",
       "\n",
       "[49369 rows x 16 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe = pd.read_csv(\"data/goal_2_data.csv\", skipinitialspace=True, dtype={\n",
    "    'Importer reported quantity': float,\n",
    "    'Exporter reported quantity': float\n",
    "})\n",
    "\n",
    "dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Formatting\n",
    "\n",
    "We'll run our standard formatting like we did on the previous notebook. We'll strip trailing spaces from the column names, and replace any NaN values with 0 in the quantities columns"
   ]
  },
  {
   "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>Year</th>\n",
       "      <th>App.</th>\n",
       "      <th>Taxon</th>\n",
       "      <th>Class</th>\n",
       "      <th>Order</th>\n",
       "      <th>Family</th>\n",
       "      <th>Genus</th>\n",
       "      <th>Importer</th>\n",
       "      <th>Exporter</th>\n",
       "      <th>Origin</th>\n",
       "      <th>Importer reported quantity</th>\n",
       "      <th>Exporter reported quantity</th>\n",
       "      <th>Term</th>\n",
       "      <th>Unit</th>\n",
       "      <th>Purpose</th>\n",
       "      <th>Source</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1975</td>\n",
       "      <td>I</td>\n",
       "      <td>Equus przewalskii</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Perissodactyla</td>\n",
       "      <td>Equidae</td>\n",
       "      <td>Equus</td>\n",
       "      <td>SE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Z</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1975</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>CA</td>\n",
       "      <td>GB</td>\n",
       "      <td>CA</td>\n",
       "      <td>6.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1975</td>\n",
       "      <td>I</td>\n",
       "      <td>Varanus flavescens</td>\n",
       "      <td>Reptilia</td>\n",
       "      <td>Sauria</td>\n",
       "      <td>Varanidae</td>\n",
       "      <td>Varanus</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>5442.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1975</td>\n",
       "      <td>I</td>\n",
       "      <td>Varanus griseus</td>\n",
       "      <td>Reptilia</td>\n",
       "      <td>Sauria</td>\n",
       "      <td>Varanidae</td>\n",
       "      <td>Varanus</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1228.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1975</td>\n",
       "      <td>II</td>\n",
       "      <td>Branta ruficollis</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Anseriformes</td>\n",
       "      <td>Anatidae</td>\n",
       "      <td>Branta</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1975</td>\n",
       "      <td>II</td>\n",
       "      <td>Leopardus pardalis</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Leopardus</td>\n",
       "      <td>CA</td>\n",
       "      <td>GB</td>\n",
       "      <td>CA</td>\n",
       "      <td>273.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1975</td>\n",
       "      <td>II</td>\n",
       "      <td>Leopardus wiedii</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Leopardus</td>\n",
       "      <td>CA</td>\n",
       "      <td>GB</td>\n",
       "      <td>CA</td>\n",
       "      <td>551.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1975</td>\n",
       "      <td>II</td>\n",
       "      <td>Diceros bicornis</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Perissodactyla</td>\n",
       "      <td>Rhinocerotidae</td>\n",
       "      <td>Diceros</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>trophies</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Asarcornis scutulata</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Anseriformes</td>\n",
       "      <td>Anatidae</td>\n",
       "      <td>Asarcornis</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Branta sandvicensis</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Anseriformes</td>\n",
       "      <td>Anatidae</td>\n",
       "      <td>Branta</td>\n",
       "      <td>AT</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Branta sandvicensis</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Anseriformes</td>\n",
       "      <td>Anatidae</td>\n",
       "      <td>Branta</td>\n",
       "      <td>CA</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Z</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Cercopithecus diana</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Primates</td>\n",
       "      <td>Cercopithecidae</td>\n",
       "      <td>Cercopithecus</td>\n",
       "      <td>ZA</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Z</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Rucervus duvaucelii</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Artiodactyla</td>\n",
       "      <td>Cervidae</td>\n",
       "      <td>Rucervus</td>\n",
       "      <td>DE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Crocodylus siamensis</td>\n",
       "      <td>Reptilia</td>\n",
       "      <td>Crocodylia</td>\n",
       "      <td>Crocodylidae</td>\n",
       "      <td>Crocodylus</td>\n",
       "      <td>ES</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Elephas maximus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Proboscidea</td>\n",
       "      <td>Elephantidae</td>\n",
       "      <td>Elephas</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>CH</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Elephas maximus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Proboscidea</td>\n",
       "      <td>Elephantidae</td>\n",
       "      <td>Elephas</td>\n",
       "      <td>FR</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Elephas maximus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Proboscidea</td>\n",
       "      <td>Elephantidae</td>\n",
       "      <td>Elephas</td>\n",
       "      <td>OM</td>\n",
       "      <td>GB</td>\n",
       "      <td>IN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Elephas maximus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Proboscidea</td>\n",
       "      <td>Elephantidae</td>\n",
       "      <td>Elephas</td>\n",
       "      <td>PT</td>\n",
       "      <td>GB</td>\n",
       "      <td>IN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Equus przewalskii</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Perissodactyla</td>\n",
       "      <td>Equidae</td>\n",
       "      <td>Equus</td>\n",
       "      <td>DD</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Falco peregrinus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Falconiformes</td>\n",
       "      <td>Falconidae</td>\n",
       "      <td>Falco</td>\n",
       "      <td>SE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>B</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Acinonyx jubatus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Acinonyx</td>\n",
       "      <td>AE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Catopuma temminckii</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Catopuma</td>\n",
       "      <td>ES</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>live</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Leopardus jacobitus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Leopardus</td>\n",
       "      <td>ES</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>84.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Leopardus pardalis mearnsi</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Leopardus</td>\n",
       "      <td>ES</td>\n",
       "      <td>GB</td>\n",
       "      <td>AR</td>\n",
       "      <td>0.0</td>\n",
       "      <td>104.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>AT</td>\n",
       "      <td>GB</td>\n",
       "      <td>BR</td>\n",
       "      <td>0.0</td>\n",
       "      <td>49.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>AT</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>61.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>BE</td>\n",
       "      <td>GB</td>\n",
       "      <td>BR</td>\n",
       "      <td>0.0</td>\n",
       "      <td>91.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>BE</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>BR</td>\n",
       "      <td>0.0</td>\n",
       "      <td>74.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1976</td>\n",
       "      <td>I</td>\n",
       "      <td>Panthera onca</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Felidae</td>\n",
       "      <td>Panthera</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>PY</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5.00000</td>\n",
       "      <td>skins</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49339</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Martes flavigula</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Martes</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>RU</td>\n",
       "      <td>4.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>specimens</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49340</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>CN</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4201.00000</td>\n",
       "      <td>hair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49341</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>LK</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>7.00000</td>\n",
       "      <td>hair</td>\n",
       "      <td>kg</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49342</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4032.15972</td>\n",
       "      <td>hair</td>\n",
       "      <td>kg</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49343</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>hair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49344</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>47089.0</td>\n",
       "      <td>25813.00000</td>\n",
       "      <td>hair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49345</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>37.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>hair products</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49346</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>53489.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>hair products</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49347</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>RU</td>\n",
       "      <td>44.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>hair products</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49348</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>RU</td>\n",
       "      <td>9.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>hair products</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>I</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49349</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>RU</td>\n",
       "      <td>30.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>specimens</td>\n",
       "      <td>NaN</td>\n",
       "      <td>S</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49350</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Mustela sibirica</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Mustelidae</td>\n",
       "      <td>Mustela</td>\n",
       "      <td>XX</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>5366.00000</td>\n",
       "      <td>hair</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49351</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>AU</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3.00000</td>\n",
       "      <td>carvings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49352</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>HK</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>teeth</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49353</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>KR</td>\n",
       "      <td>GB</td>\n",
       "      <td>CA</td>\n",
       "      <td>0.0</td>\n",
       "      <td>500.00000</td>\n",
       "      <td>ivory pieces</td>\n",
       "      <td>kg</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49354</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>NZ</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>carvings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49355</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>NZ</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>ivory carvings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49356</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>carvings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49357</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>5.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>ivory carvings</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49358</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Odobenus rosmarus</td>\n",
       "      <td>Mammalia</td>\n",
       "      <td>Carnivora</td>\n",
       "      <td>Odobenidae</td>\n",
       "      <td>Odobenus</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>ivory pieces</td>\n",
       "      <td>NaN</td>\n",
       "      <td>P</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49359</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Lodoicea maldivica</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Arecales</td>\n",
       "      <td>Palmae</td>\n",
       "      <td>Lodoicea</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>seeds</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49360</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>CH</td>\n",
       "      <td>GB</td>\n",
       "      <td>IN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.00000</td>\n",
       "      <td>feathers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49361</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>KE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>20.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>feathers</td>\n",
       "      <td>kg</td>\n",
       "      <td>T</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49362</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>KE</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2500.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>feathers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49363</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>500.00000</td>\n",
       "      <td>feathers</td>\n",
       "      <td>kg</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49364</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>CN</td>\n",
       "      <td>3830.0</td>\n",
       "      <td>150.00000</td>\n",
       "      <td>feathers</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49365</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>XX</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>bodies</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Q</td>\n",
       "      <td>O</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49366</th>\n",
       "      <td>2016</td>\n",
       "      <td>III</td>\n",
       "      <td>Pavo cristatus</td>\n",
       "      <td>Aves</td>\n",
       "      <td>Galliformes</td>\n",
       "      <td>Phasianidae</td>\n",
       "      <td>Pavo</td>\n",
       "      <td>US</td>\n",
       "      <td>GB</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>bodies</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>C</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49367</th>\n",
       "      <td>2017</td>\n",
       "      <td>II</td>\n",
       "      <td>Alligator mississippiensis</td>\n",
       "      <td>Reptilia</td>\n",
       "      <td>Crocodylia</td>\n",
       "      <td>Alligatoridae</td>\n",
       "      <td>Alligator</td>\n",
       "      <td>MO</td>\n",
       "      <td>GB</td>\n",
       "      <td>US</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>leather products (small)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>49368</th>\n",
       "      <td>2017</td>\n",
       "      <td>II</td>\n",
       "      <td>Varanus salvator</td>\n",
       "      <td>Reptilia</td>\n",
       "      <td>Sauria</td>\n",
       "      <td>Varanidae</td>\n",
       "      <td>Varanus</td>\n",
       "      <td>MO</td>\n",
       "      <td>GB</td>\n",
       "      <td>ID</td>\n",
       "      <td>2.0</td>\n",
       "      <td>0.00000</td>\n",
       "      <td>leather products (small)</td>\n",
       "      <td>NaN</td>\n",
       "      <td>T</td>\n",
       "      <td>W</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>49369 rows × 16 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "       Year App.                       Taxon     Class           Order  \\\n",
       "0      1975    I           Equus przewalskii  Mammalia  Perissodactyla   \n",
       "1      1975    I               Panthera onca  Mammalia       Carnivora   \n",
       "2      1975    I          Varanus flavescens  Reptilia          Sauria   \n",
       "3      1975    I             Varanus griseus  Reptilia          Sauria   \n",
       "4      1975   II           Branta ruficollis      Aves    Anseriformes   \n",
       "5      1975   II          Leopardus pardalis  Mammalia       Carnivora   \n",
       "6      1975   II            Leopardus wiedii  Mammalia       Carnivora   \n",
       "7      1975   II            Diceros bicornis  Mammalia  Perissodactyla   \n",
       "8      1976    I        Asarcornis scutulata      Aves    Anseriformes   \n",
       "9      1976    I         Branta sandvicensis      Aves    Anseriformes   \n",
       "10     1976    I         Branta sandvicensis      Aves    Anseriformes   \n",
       "11     1976    I         Cercopithecus diana  Mammalia        Primates   \n",
       "12     1976    I         Rucervus duvaucelii  Mammalia    Artiodactyla   \n",
       "13     1976    I        Crocodylus siamensis  Reptilia      Crocodylia   \n",
       "14     1976    I             Elephas maximus  Mammalia     Proboscidea   \n",
       "15     1976    I             Elephas maximus  Mammalia     Proboscidea   \n",
       "16     1976    I             Elephas maximus  Mammalia     Proboscidea   \n",
       "17     1976    I             Elephas maximus  Mammalia     Proboscidea   \n",
       "18     1976    I           Equus przewalskii  Mammalia  Perissodactyla   \n",
       "19     1976    I            Falco peregrinus      Aves   Falconiformes   \n",
       "20     1976    I            Acinonyx jubatus  Mammalia       Carnivora   \n",
       "21     1976    I         Catopuma temminckii  Mammalia       Carnivora   \n",
       "22     1976    I         Leopardus jacobitus  Mammalia       Carnivora   \n",
       "23     1976    I  Leopardus pardalis mearnsi  Mammalia       Carnivora   \n",
       "24     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "25     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "26     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "27     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "28     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "29     1976    I               Panthera onca  Mammalia       Carnivora   \n",
       "...     ...  ...                         ...       ...             ...   \n",
       "49339  2016  III            Martes flavigula  Mammalia       Carnivora   \n",
       "49340  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49341  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49342  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49343  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49344  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49345  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49346  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49347  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49348  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49349  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49350  2016  III            Mustela sibirica  Mammalia       Carnivora   \n",
       "49351  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49352  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49353  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49354  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49355  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49356  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49357  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49358  2016  III           Odobenus rosmarus  Mammalia       Carnivora   \n",
       "49359  2016  III          Lodoicea maldivica       NaN        Arecales   \n",
       "49360  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49361  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49362  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49363  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49364  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49365  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49366  2016  III              Pavo cristatus      Aves     Galliformes   \n",
       "49367  2017   II  Alligator mississippiensis  Reptilia      Crocodylia   \n",
       "49368  2017   II            Varanus salvator  Reptilia          Sauria   \n",
       "\n",
       "                Family          Genus Importer Exporter Origin  \\\n",
       "0              Equidae          Equus       SE       GB    NaN   \n",
       "1              Felidae       Panthera       CA       GB     CA   \n",
       "2            Varanidae        Varanus       CH       GB     XX   \n",
       "3            Varanidae        Varanus       CH       GB    NaN   \n",
       "4             Anatidae         Branta       CH       GB    NaN   \n",
       "5              Felidae      Leopardus       CA       GB     CA   \n",
       "6              Felidae      Leopardus       CA       GB     CA   \n",
       "7       Rhinocerotidae        Diceros       CH       GB    NaN   \n",
       "8             Anatidae     Asarcornis       US       GB     XX   \n",
       "9             Anatidae         Branta       AT       GB    NaN   \n",
       "10            Anatidae         Branta       CA       GB    NaN   \n",
       "11     Cercopithecidae  Cercopithecus       ZA       GB     XX   \n",
       "12            Cervidae       Rucervus       DE       GB    NaN   \n",
       "13        Crocodylidae     Crocodylus       ES       GB     XX   \n",
       "14        Elephantidae        Elephas       CH       GB     CH   \n",
       "15        Elephantidae        Elephas       FR       GB    NaN   \n",
       "16        Elephantidae        Elephas       OM       GB     IN   \n",
       "17        Elephantidae        Elephas       PT       GB     IN   \n",
       "18             Equidae          Equus       DD       GB    NaN   \n",
       "19          Falconidae          Falco       SE       GB    NaN   \n",
       "20             Felidae       Acinonyx       AE       GB    NaN   \n",
       "21             Felidae       Catopuma       ES       GB     XX   \n",
       "22             Felidae      Leopardus       ES       GB     XX   \n",
       "23             Felidae      Leopardus       ES       GB     AR   \n",
       "24             Felidae       Panthera       AT       GB     BR   \n",
       "25             Felidae       Panthera       AT       GB     XX   \n",
       "26             Felidae       Panthera       BE       GB     BR   \n",
       "27             Felidae       Panthera       BE       GB     XX   \n",
       "28             Felidae       Panthera       CH       GB     BR   \n",
       "29             Felidae       Panthera       CH       GB     PY   \n",
       "...                ...            ...      ...      ...    ...   \n",
       "49339       Mustelidae         Martes       US       GB     RU   \n",
       "49340       Mustelidae        Mustela       CN       GB     CN   \n",
       "49341       Mustelidae        Mustela       LK       GB     CN   \n",
       "49342       Mustelidae        Mustela       US       GB     CN   \n",
       "49343       Mustelidae        Mustela       US       GB     CN   \n",
       "49344       Mustelidae        Mustela       US       GB     CN   \n",
       "49345       Mustelidae        Mustela       US       GB     CN   \n",
       "49346       Mustelidae        Mustela       US       GB     CN   \n",
       "49347       Mustelidae        Mustela       US       GB     RU   \n",
       "49348       Mustelidae        Mustela       US       GB     RU   \n",
       "49349       Mustelidae        Mustela       US       GB     RU   \n",
       "49350       Mustelidae        Mustela       XX       GB     CN   \n",
       "49351       Odobenidae       Odobenus       AU       GB     XX   \n",
       "49352       Odobenidae       Odobenus       HK       GB     XX   \n",
       "49353       Odobenidae       Odobenus       KR       GB     CA   \n",
       "49354       Odobenidae       Odobenus       NZ       GB     XX   \n",
       "49355       Odobenidae       Odobenus       NZ       GB     XX   \n",
       "49356       Odobenidae       Odobenus       US       GB     XX   \n",
       "49357       Odobenidae       Odobenus       US       GB     XX   \n",
       "49358       Odobenidae       Odobenus       US       GB     XX   \n",
       "49359           Palmae       Lodoicea       US       GB     XX   \n",
       "49360      Phasianidae           Pavo       CH       GB     IN   \n",
       "49361      Phasianidae           Pavo       KE       GB    NaN   \n",
       "49362      Phasianidae           Pavo       KE       GB    NaN   \n",
       "49363      Phasianidae           Pavo       US       GB     CN   \n",
       "49364      Phasianidae           Pavo       US       GB     CN   \n",
       "49365      Phasianidae           Pavo       US       GB     XX   \n",
       "49366      Phasianidae           Pavo       US       GB    NaN   \n",
       "49367    Alligatoridae      Alligator       MO       GB     US   \n",
       "49368        Varanidae        Varanus       MO       GB     ID   \n",
       "\n",
       "       Importer reported quantity  Exporter reported quantity  \\\n",
       "0                             2.0                     0.00000   \n",
       "1                             6.0                     0.00000   \n",
       "2                          5442.0                     0.00000   \n",
       "3                          1228.0                     0.00000   \n",
       "4                             2.0                     0.00000   \n",
       "5                           273.0                     0.00000   \n",
       "6                           551.0                     0.00000   \n",
       "7                             1.0                     0.00000   \n",
       "8                             0.0                     2.00000   \n",
       "9                             0.0                     2.00000   \n",
       "10                            2.0                     0.00000   \n",
       "11                            2.0                     0.00000   \n",
       "12                            0.0                     1.00000   \n",
       "13                            0.0                     2.00000   \n",
       "14                            0.0                     2.00000   \n",
       "15                            5.0                     0.00000   \n",
       "16                            0.0                     4.00000   \n",
       "17                            0.0                     3.00000   \n",
       "18                            0.0                     2.00000   \n",
       "19                            3.0                     0.00000   \n",
       "20                            0.0                     2.00000   \n",
       "21                            0.0                     1.00000   \n",
       "22                            0.0                    84.00000   \n",
       "23                            0.0                   104.00000   \n",
       "24                            0.0                    49.00000   \n",
       "25                            0.0                    61.00000   \n",
       "26                            0.0                    91.00000   \n",
       "27                            0.0                     2.00000   \n",
       "28                            0.0                    74.00000   \n",
       "29                            0.0                     5.00000   \n",
       "...                           ...                         ...   \n",
       "49339                         4.0                     0.00000   \n",
       "49340                         0.0                  4201.00000   \n",
       "49341                         0.0                     7.00000   \n",
       "49342                         0.0                  4032.15972   \n",
       "49343                         2.0                     0.00000   \n",
       "49344                     47089.0                 25813.00000   \n",
       "49345                        37.0                     0.00000   \n",
       "49346                     53489.0                     0.00000   \n",
       "49347                        44.0                     0.00000   \n",
       "49348                         9.0                     0.00000   \n",
       "49349                        30.0                     0.00000   \n",
       "49350                         0.0                  5366.00000   \n",
       "49351                         0.0                     3.00000   \n",
       "49352                         1.0                     0.00000   \n",
       "49353                         0.0                   500.00000   \n",
       "49354                         0.0                     1.00000   \n",
       "49355                         1.0                     0.00000   \n",
       "49356                         0.0                     1.00000   \n",
       "49357                         5.0                     0.00000   \n",
       "49358                         1.0                     0.00000   \n",
       "49359                         0.0                     1.00000   \n",
       "49360                         0.0                     1.00000   \n",
       "49361                        20.0                     0.00000   \n",
       "49362                      2500.0                     0.00000   \n",
       "49363                         0.0                   500.00000   \n",
       "49364                      3830.0                   150.00000   \n",
       "49365                         1.0                     0.00000   \n",
       "49366                         1.0                     0.00000   \n",
       "49367                         1.0                     0.00000   \n",
       "49368                         2.0                     0.00000   \n",
       "\n",
       "                           Term Unit Purpose Source  \n",
       "0                          live  NaN       Z      C  \n",
       "1                         skins  NaN     NaN    NaN  \n",
       "2                         skins  NaN     NaN    NaN  \n",
       "3                         skins  NaN     NaN    NaN  \n",
       "4                          live  NaN       P      C  \n",
       "5                         skins  NaN     NaN    NaN  \n",
       "6                         skins  NaN     NaN    NaN  \n",
       "7                      trophies  NaN     NaN    NaN  \n",
       "8                          live  NaN     NaN    NaN  \n",
       "9                          live  NaN     NaN      C  \n",
       "10                         live  NaN       Z    NaN  \n",
       "11                         live  NaN       Z    NaN  \n",
       "12                         live  NaN     NaN      C  \n",
       "13                         live  NaN       Q    NaN  \n",
       "14                         live  NaN       Q      C  \n",
       "15                         live  NaN       Q    NaN  \n",
       "16                         live  NaN       Q    NaN  \n",
       "17                         live  NaN       Q    NaN  \n",
       "18                         live  NaN     NaN      C  \n",
       "19                         live  NaN       B    NaN  \n",
       "20                         live  NaN     NaN      C  \n",
       "21                         live  NaN     NaN    NaN  \n",
       "22                        skins  NaN     NaN    NaN  \n",
       "23                        skins  NaN     NaN    NaN  \n",
       "24                        skins  NaN     NaN    NaN  \n",
       "25                        skins  NaN     NaN    NaN  \n",
       "26                        skins  NaN     NaN    NaN  \n",
       "27                        skins  NaN     NaN    NaN  \n",
       "28                        skins  NaN     NaN    NaN  \n",
       "29                        skins  NaN     NaN    NaN  \n",
       "...                         ...  ...     ...    ...  \n",
       "49339                 specimens  NaN       S      W  \n",
       "49340                      hair  NaN       T      W  \n",
       "49341                      hair   kg       T      W  \n",
       "49342                      hair   kg       T      W  \n",
       "49343                      hair  NaN       P      I  \n",
       "49344                      hair  NaN       T      W  \n",
       "49345             hair products  NaN       P      I  \n",
       "49346             hair products  NaN       T      W  \n",
       "49347             hair products  NaN       P      I  \n",
       "49348             hair products  NaN       T      I  \n",
       "49349                 specimens  NaN       S      W  \n",
       "49350                      hair  NaN       T      W  \n",
       "49351                  carvings  NaN       T      O  \n",
       "49352                     teeth  NaN       T      O  \n",
       "49353              ivory pieces   kg       T      W  \n",
       "49354                  carvings  NaN       T      O  \n",
       "49355            ivory carvings  NaN       T      O  \n",
       "49356                  carvings  NaN       T      O  \n",
       "49357            ivory carvings  NaN       T      O  \n",
       "49358              ivory pieces  NaN       P      O  \n",
       "49359                     seeds  NaN       T      O  \n",
       "49360                  feathers  NaN       T      W  \n",
       "49361                  feathers   kg       T      C  \n",
       "49362                  feathers  NaN       T      C  \n",
       "49363                  feathers   kg       T      O  \n",
       "49364                  feathers  NaN       T      O  \n",
       "49365                    bodies  NaN       Q      O  \n",
       "49366                    bodies  NaN       T      C  \n",
       "49367  leather products (small)  NaN       T      W  \n",
       "49368  leather products (small)  NaN       T      W  \n",
       "\n",
       "[49369 rows x 16 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dataframe.columns = dataframe.columns.str.strip() # Strip trailing spaces from column names\n",
    "dataframe['Importer reported quantity'].fillna(0, inplace=True) # Replace NaN values with 0 for quantity\n",
    "dataframe['Exporter reported quantity'].fillna(0, inplace=True) \n",
    "\n",
    "dataframe"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most Exported Species"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Mammalia          15926\n",
       "Reptilia          12869\n",
       "Aves              11306\n",
       "Anthozoa            597\n",
       "Actinopteri         449\n",
       "Hirudinoidea        288\n",
       "Bivalvia            139\n",
       "Insecta              98\n",
       "Amphibia             90\n",
       "Gastropoda           62\n",
       "Elasmobranchii       48\n",
       "Arachnida            45\n",
       "Hydrozoa             12\n",
       "Dipneusti             1\n",
       "Name: Class, dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "class_distribution = dataframe['Class'].value_counts()\n",
    "class_distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x107eeb828>"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "class_distribution.head(5).plot.bar(figsize=(10, 10), title=\"Top 5 Most Exported Species\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Most Exported to Countries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "US    15000\n",
       "JP     4264\n",
       "CH     2488\n",
       "CA     2062\n",
       "GB     1850\n",
       "AU     1503\n",
       "AE     1194\n",
       "XX     1186\n",
       "ZA     1136\n",
       "CN     1020\n",
       "Name: Importer, dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "importer_distribution = dataframe['Importer'].value_counts()\n",
    "importer_distribution.head(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x108b5ac50>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "importer_distribution.head(10).plot.bar(figsize=(10, 10), title=\"Top 10 Most Exported to Countries\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "T    24978\n",
       "P     7356\n",
       "B     2236\n",
       "S     1992\n",
       "Z     1561\n",
       "Q     1072\n",
       "M      963\n",
       "E      584\n",
       "H      132\n",
       "N       59\n",
       "G       54\n",
       "L       51\n",
       "Name: Purpose, dtype: int64"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "purpose_distribution = dataframe['Purpose'].value_counts()\n",
    "purpose_distribution"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x11015ab00>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "purpose_distribution.head(10).plot.bar(figsize=(10, 10), title=\"Top 10 Export Purposes\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Sankey Top 5 exports and their reason breakdown"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "### Sankey flow of exports in one year (country to country)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Linear regression of total trade over time"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "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>Year</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1988</td>\n",
       "      <td>1576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2000</td>\n",
       "      <td>1555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1981</td>\n",
       "      <td>1484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2013</td>\n",
       "      <td>1479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1998</td>\n",
       "      <td>1477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1999</td>\n",
       "      <td>1458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1993</td>\n",
       "      <td>1441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>2012</td>\n",
       "      <td>1423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>2009</td>\n",
       "      <td>1408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>2005</td>\n",
       "      <td>1405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2004</td>\n",
       "      <td>1390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1995</td>\n",
       "      <td>1386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1992</td>\n",
       "      <td>1335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>2014</td>\n",
       "      <td>1328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>2003</td>\n",
       "      <td>1327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>2011</td>\n",
       "      <td>1305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1994</td>\n",
       "      <td>1268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1996</td>\n",
       "      <td>1241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>2002</td>\n",
       "      <td>1234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>2010</td>\n",
       "      <td>1222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1982</td>\n",
       "      <td>1213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1989</td>\n",
       "      <td>1203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1997</td>\n",
       "      <td>1181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>2008</td>\n",
       "      <td>1177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2016</td>\n",
       "      <td>1162</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2015</td>\n",
       "      <td>1153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1990</td>\n",
       "      <td>1142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2007</td>\n",
       "      <td>1094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1980</td>\n",
       "      <td>1090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2001</td>\n",
       "      <td>1084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2006</td>\n",
       "      <td>1080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>1986</td>\n",
       "      <td>1076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>1991</td>\n",
       "      <td>1032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>1983</td>\n",
       "      <td>1032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>1979</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>1985</td>\n",
       "      <td>996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>1984</td>\n",
       "      <td>895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>1977</td>\n",
       "      <td>891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>1987</td>\n",
       "      <td>862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>1978</td>\n",
       "      <td>823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>1976</td>\n",
       "      <td>431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>1975</td>\n",
       "      <td>8</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>2017</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year  Count\n",
       "0   1988   1576\n",
       "1   2000   1555\n",
       "2   1981   1484\n",
       "3   2013   1479\n",
       "4   1998   1477\n",
       "5   1999   1458\n",
       "6   1993   1441\n",
       "7   2012   1423\n",
       "8   2009   1408\n",
       "9   2005   1405\n",
       "10  2004   1390\n",
       "11  1995   1386\n",
       "12  1992   1335\n",
       "13  2014   1328\n",
       "14  2003   1327\n",
       "15  2011   1305\n",
       "16  1994   1268\n",
       "17  1996   1241\n",
       "18  2002   1234\n",
       "19  2010   1222\n",
       "20  1982   1213\n",
       "21  1989   1203\n",
       "22  1997   1181\n",
       "23  2008   1177\n",
       "24  2016   1162\n",
       "25  2015   1153\n",
       "26  1990   1142\n",
       "27  2007   1094\n",
       "28  1980   1090\n",
       "29  2001   1084\n",
       "30  2006   1080\n",
       "31  1986   1076\n",
       "32  1991   1032\n",
       "33  1983   1032\n",
       "34  1979   1000\n",
       "35  1985    996\n",
       "36  1984    895\n",
       "37  1977    891\n",
       "38  1987    862\n",
       "39  1978    823\n",
       "40  1976    431\n",
       "41  1975      8\n",
       "42  2017      2"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_distribution = dataframe['Year'].value_counts().reset_index()\n",
    "year_distribution.columns = [\"Year\", \"Count\"]\n",
    "\n",
    "year_distribution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Our data needs a little further formatting. We'll need to order it by year..."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "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>Year</th>\n",
       "      <th>Count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1976</td>\n",
       "      <td>431</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1977</td>\n",
       "      <td>891</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1978</td>\n",
       "      <td>823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1979</td>\n",
       "      <td>1000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1980</td>\n",
       "      <td>1090</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1981</td>\n",
       "      <td>1484</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1982</td>\n",
       "      <td>1213</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1983</td>\n",
       "      <td>1032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1984</td>\n",
       "      <td>895</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1985</td>\n",
       "      <td>996</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1986</td>\n",
       "      <td>1076</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1987</td>\n",
       "      <td>862</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1988</td>\n",
       "      <td>1576</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1989</td>\n",
       "      <td>1203</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1990</td>\n",
       "      <td>1142</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1991</td>\n",
       "      <td>1032</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1992</td>\n",
       "      <td>1335</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1993</td>\n",
       "      <td>1441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1994</td>\n",
       "      <td>1268</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1995</td>\n",
       "      <td>1386</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1996</td>\n",
       "      <td>1241</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1997</td>\n",
       "      <td>1181</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1998</td>\n",
       "      <td>1477</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1999</td>\n",
       "      <td>1458</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>2000</td>\n",
       "      <td>1555</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>2001</td>\n",
       "      <td>1084</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>2002</td>\n",
       "      <td>1234</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>2003</td>\n",
       "      <td>1327</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>2004</td>\n",
       "      <td>1390</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>2005</td>\n",
       "      <td>1405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>2006</td>\n",
       "      <td>1080</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>2007</td>\n",
       "      <td>1094</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>2008</td>\n",
       "      <td>1177</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>2009</td>\n",
       "      <td>1408</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>2010</td>\n",
       "      <td>1222</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>2011</td>\n",
       "      <td>1305</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>2012</td>\n",
       "      <td>1423</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>2013</td>\n",
       "      <td>1479</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>2014</td>\n",
       "      <td>1328</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>2015</td>\n",
       "      <td>1153</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>2016</td>\n",
       "      <td>1162</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year  Count\n",
       "0   1976    431\n",
       "1   1977    891\n",
       "2   1978    823\n",
       "3   1979   1000\n",
       "4   1980   1090\n",
       "5   1981   1484\n",
       "6   1982   1213\n",
       "7   1983   1032\n",
       "8   1984    895\n",
       "9   1985    996\n",
       "10  1986   1076\n",
       "11  1987    862\n",
       "12  1988   1576\n",
       "13  1989   1203\n",
       "14  1990   1142\n",
       "15  1991   1032\n",
       "16  1992   1335\n",
       "17  1993   1441\n",
       "18  1994   1268\n",
       "19  1995   1386\n",
       "20  1996   1241\n",
       "21  1997   1181\n",
       "22  1998   1477\n",
       "23  1999   1458\n",
       "24  2000   1555\n",
       "25  2001   1084\n",
       "26  2002   1234\n",
       "27  2003   1327\n",
       "28  2004   1390\n",
       "29  2005   1405\n",
       "30  2006   1080\n",
       "31  2007   1094\n",
       "32  2008   1177\n",
       "33  2009   1408\n",
       "34  2010   1222\n",
       "35  2011   1305\n",
       "36  2012   1423\n",
       "37  2013   1479\n",
       "38  2014   1328\n",
       "39  2015   1153\n",
       "40  2016   1162"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "year_distribution = year_distribution.sort_values(by=['Year'])\n",
    "year_distribution = year_distribution[1:-1].reset_index()\n",
    "year_distribution = year_distribution.drop(columns=[\"index\"])\n",
    "year_distribution"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Let's take a look at the data on a scatter plot, we should be  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x109a65f60>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "year_distribution.plot.scatter(x=\"Year\", y=\"Count\", title=\"Total UK Exports by Year\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "year  = year_distribution[\"Year\"].values.reshape(-1, 1)\n",
    "count = year_distribution[\"Count\"].values.reshape(-1, 1).ravel()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "LinearRegression(copy_X=True, fit_intercept=True, n_jobs=1, normalize=False)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "model = linear_model.LinearRegression()\n",
    "model.fit(year, count)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "count_pred = model.predict(year)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.scatter(year, count)\n",
    "plt.plot(year, count_pred, color='red', linewidth=2)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "future_years = np.array([[2017], [2018], [2019], [2020], [2021], [2022], [2023]])\n",
    "future_counts = model.predict(future_years)\n",
    "\n",
    "years = np.concatenate((year, future_years))\n",
    "counts_pred = model.predict(years)\n",
    "\n",
    "plt.scatter(year, count, color=\"blue\")\n",
    "plt.scatter(future_years, future_counts, color=\"green\")\n",
    "plt.plot(years, counts_pred, color='red', linewidth=1)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}