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  1. {
  2.  "cells": [
  3.   {
  4.    "cell_type": "code",
  5.    "execution_count": 24,
  6.    "metadata": {},
  7.    "outputs": [],
  8.    "source": [
  9.     "import pandas as pd\n",
  10.     "import numpy as np"
  11.    ]
  12.   },
  13.   {
  14.    "cell_type": "code",
  15.    "execution_count": 10,
  16.    "metadata": {},
  17.    "outputs": [],
  18.    "source": [
  19.     "df_full = pd.read_csv(\"data/complete.csv\")"
  20.    ]
  21.   },
  22.   {
  23.    "cell_type": "code",
  24.    "execution_count": 84,
  25.    "metadata": {},
  26.    "outputs": [],
  27.    "source": [
  28.     "# Removes lines with no or very low values (less than one ton traded in a year)\n",
  29.     "df = df_full.loc[(df_full[\"Netweight (kg)\"] > 1000) & (df_full[\"Partner\"] != \"World\")].copy()"
  30.    ]
  31.   },
  32.   {
  33.    "cell_type": "code",
  34.    "execution_count": 85,
  35.    "metadata": {},
  36.    "outputs": [],
  37.    "source": [
  38.     "# Computes price per kg\n",
  39.     "df[\"price per kg\"] = df[\"Trade Value (US$)\"] / df[\"Netweight (kg)\"]"
  40.    ]
  41.   },
  42.   {
  43.    "cell_type": "code",
  44.    "execution_count": 86,
  45.    "metadata": {},
  46.    "outputs": [
  47.     {
  48.      "data": {
  49.       "text/plain": [
  50.        "2.832909336589367"
  51.       ]
  52.      },
  53.      "execution_count": 86,
  54.      "metadata": {},
  55.      "output_type": "execute_result"
  56.     }
  57.    ],
  58.    "source": [
  59.     "# Total average price 2000-2018\n",
  60.     "average_price = df[\"Trade Value (US$)\"].sum() / df[\"Netweight (kg)\"].sum()\n",
  61.     "\n",
  62.     "average_price"
  63.    ]
  64.   },
  65.   {
  66.    "cell_type": "code",
  67.    "execution_count": 87,
  68.    "metadata": {},
  69.    "outputs": [
  70.     {
  71.      "data": {
  72.       "text/plain": [
  73.        "<matplotlib.axes._subplots.AxesSubplot at 0x7ff22e31b410>"
  74.       ]
  75.      },
  76.      "execution_count": 87,
  77.      "metadata": {},
  78.      "output_type": "execute_result"
  79.     },
  80.     {
  81.      "data": {
  82.       "image/png": 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\n",
  83.       "text/plain": [
  84.        "<Figure size 432x288 with 1 Axes>"
  85.       ]
  86.      },
  87.      "metadata": {
  88.       "needs_background": "light"
  89.      },
  90.      "output_type": "display_data"
  91.     }
  92.    ],
  93.    "source": [
  94.     "# Average export price by country\n",
  95.     "exporters_df = pd.pivot_table(df.loc[df[\"Trade Flow\"] == \"Export\"], values=[\"Trade Value (US$)\", \"Netweight (kg)\"], index=[\"Reporter\"], aggfunc=np.sum)\n",
  96.     "exporters_df[\"price per kg\"] = exporters_df[\"Trade Value (US$)\"] / exporters_df[\"Netweight (kg)\"]\n",
  97.     "exporters_df.sort_values(\"price per kg\", ascending = False, inplace=True)\n",
  98.     "\n",
  99.     "ax = exporters_df.head(10).plot.barh(y='price per kg', rot=0)\n",
  100.     "ax.set_title(\"Average export price per kg (2000-2018)\\nMoney flows *to* the country\")\n",
  101.     "ax"
  102.    ]
  103.   },
  104.   {
  105.    "cell_type": "markdown",
  106.    "metadata": {},
  107.    "source": [
  108.     "### Tax heavens export the most expensive wines\n",
  109.     "\n",
  110.     "Wine exported from the countries below is sold at prices more than triple the average trade value over the period. This is all the stranger as none of these countries is known to produce expensive wines.\n",
  111.     "\n",
  112.     "A possible explanation is that some people import average wine in these countries, then export it to a country X in order to send cash from country X to a tax heaven."
  113.    ]
  114.   },
  115.   {
  116.    "cell_type": "code",
  117.    "execution_count": 88,
  118.    "metadata": {},
  119.    "outputs": [
  120.     {
  121.      "data": {
  122.       "text/plain": [
  123.        "<matplotlib.axes._subplots.AxesSubplot at 0x7ff22e488150>"
  124.       ]
  125.      },
  126.      "execution_count": 88,
  127.      "metadata": {},
  128.      "output_type": "execute_result"
  129.     },
  130.     {
  131.      "data": {
  132.       "image/png": 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\n",
  133.       "text/plain": [
  134.        "<Figure size 432x288 with 1 Axes>"
  135.       ]
  136.      },
  137.      "metadata": {
  138.       "needs_background": "light"
  139.      },
  140.      "output_type": "display_data"
  141.     }
  142.    ],
  143.    "source": [
  144.     "# Average import price by country\n",
  145.     "importers_df = pd.pivot_table(df.loc[df[\"Trade Flow\"] == \"Import\"], values=[\"Trade Value (US$)\", \"Netweight (kg)\"], index=[\"Reporter\"], aggfunc=np.sum)\n",
  146.     "importers_df[\"price per kg\"] = importers_df[\"Trade Value (US$)\"] / importers_df[\"Netweight (kg)\"]\n",
  147.     "importers_df.sort_values(\"price per kg\", ascending = False, inplace=True)\n",
  148.     "\n",
  149.     "ax = importers_df.head(10).plot.barh(y='price per kg', rot=0)\n",
  150.     "ax.set_title(\"Average export price per kg (2000-2018)\\nMoney flows *from* the country\")\n",
  151.     "ax"
  152.    ]
  153.   },
  154.   {
  155.    "cell_type": "markdown",
  156.    "metadata": {},
  157.    "source": [
  158.     "### Wine imports look legit\n",
  159.     "\n",
  160.     "Wine imports are much closer to the average price per kg of wine traded (slightly less than 3$)."
  161.    ]
  162.   },
  163.   {
  164.    "cell_type": "code",
  165.    "execution_count": 89,
  166.    "metadata": {},
  167.    "outputs": [
  168.     {
  169.      "data": {
  170.       "text/plain": [
  171.        "<matplotlib.axes._subplots.AxesSubplot at 0x7ff22e19b210>"
  172.       ]
  173.      },
  174.      "execution_count": 89,
  175.      "metadata": {},
  176.      "output_type": "execute_result"
  177.     },
  178.     {
  179.      "data": {
  180.       "image/png": 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\n",
  181.       "text/plain": [
  182.        "<Figure size 432x288 with 1 Axes>"
  183.       ]
  184.      },
  185.      "metadata": {
  186.       "needs_background": "light"
  187.      },
  188.      "output_type": "display_data"
  189.     }
  190.    ],
  191.    "source": [
  192.     "# Evolution of exports from tax heavens over time\n",
  193.     "\n",
  194.     "most_expensive_exporters_df = df.loc[df[\"Reporter\"].isin(exporters_df.head(10).index)]\n",
  195.     "most_expensive_exporters_by_year_df = pd.pivot_table(most_expensive_exporters_df.loc[most_expensive_exporters_df[\"Trade Flow\"] == \"Export\"], values=[\"Trade Value (US$)\", \"Netweight (kg)\"], index=[\"Year\"], aggfunc=np.sum)\n",
  196.     "most_expensive_exporters_by_year_df[\"price per kg\"] = most_expensive_exporters_by_year_df[\"Trade Value (US$)\"] / most_expensive_exporters_by_year_df[\"Netweight (kg)\"]\n",
  197.     "ax = most_expensive_exporters_by_year_df.plot(y=\"price per kg\")\n",
  198.     "ax.set_title(\"Average export price per kg\\nfrom top 10 most expensive exporters\")\n",
  199.     "ax"
  200.    ]
  201.   },
  202.   {
  203.    "cell_type": "markdown",
  204.    "metadata": {},
  205.    "source": [
  206.     "### Price variations seem to follow the business cycle\n",
  207.     "\n",
  208.     "Price per kg seems to peak before the 2008 downturn and in recent years (data from 2018 is extremely patchy). However, missing data from China and Hong Kong during several years make this result uncertain."
  209.    ]
  210.   },
  211.   {
  212.    "cell_type": "code",
  213.    "execution_count": 95,
  214.    "metadata": {},
  215.    "outputs": [
  216.     {
  217.      "data": {
  218.       "text/plain": [
  219.        "(<matplotlib.axes._subplots.AxesSubplot at 0x7ff22db37390>,\n",
  220.        " <matplotlib.axes._subplots.AxesSubplot at 0x7ff22dae5d50>)"
  221.       ]
  222.      },
  223.      "execution_count": 95,
  224.      "metadata": {},
  225.      "output_type": "execute_result"
  226.     },
  227.     {
  228.      "data": {
  229.       "image/png": 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\n",
  230.       "text/plain": [
  231.        "<Figure size 432x288 with 1 Axes>"
  232.       ]
  233.      },
  234.      "metadata": {
  235.       "needs_background": "light"
  236.      },
  237.      "output_type": "display_data"
  238.     },
  239.     {
  240.      "data": {
  241.       "image/png": 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\n",
  242.       "text/plain": [
  243.        "<Figure size 432x288 with 1 Axes>"
  244.       ]
  245.      },
  246.      "metadata": {
  247.       "needs_background": "light"
  248.      },
  249.      "output_type": "display_data"
  250.     }
  251.    ],
  252.    "source": [
  253.     "# Destination of wine exports\n",
  254.     "\n",
  255.     "destinations_of_expensive_exports_df = pd.pivot_table(most_expensive_exporters_df.loc[most_expensive_exporters_df[\"Trade Flow\"] == \"Export\"], values=[\"Trade Value (US$)\", \"Netweight (kg)\"], index=[\"Partner\"], aggfunc=np.sum)\n",
  256.     "destinations_of_expensive_exports_df[\"price per kg\"] = destinations_of_expensive_exports_df[\"Trade Value (US$)\"] / destinations_of_expensive_exports_df[\"Netweight (kg)\"]\n",
  257.     "destinations_of_expensive_exports_df.sort_values(\"Trade Value (US$)\", ascending = False, inplace=True)\n",
  258.     "ax = destinations_of_expensive_exports_df.head(15).plot.barh(y='Trade Value (US$)', rot=0)\n",
  259.     "ax2 = destinations_of_expensive_exports_df.sort_values(\"price per kg\", ascending = False).head(15).plot.barh(y='price per kg', rot=0)\n",
  260.     "ax.set_title(\"Top destinations of wine exported from tax heavens (2000-2018)\\nMoney flows *from* the country *to* a tax heaven\")\n",
  261.     "ax2.set_title(\"Price per kg of wine exported from tax heavens (2000-2018)\\n\")\n",
  262.     "\n",
  263.     "ax, ax2"
  264.    ]
  265.   },
  266.   {
  267.    "cell_type": "markdown",
  268.    "metadata": {},
  269.    "source": [
  270.     "### London and Hong Kong, capitals of suspicious wine trading\n",
  271.     "\n",
  272.     "The United Kingdom and Hong Kong are the two countries to which the most expensive wine per kg is exported *and* that have the highest volumes traded (five billion for Hong Kong and one billion for the UK)."
  273.    ]
  274.   },
  275.   {
  276.    "cell_type": "code",
  277.    "execution_count": null,
  278.    "metadata": {},
  279.    "outputs": [],
  280.    "source": []
  281.   }
  282.  ],
  283.  "metadata": {
  284.   "kernelspec": {
  285.    "display_name": "Python 3",
  286.    "language": "python",
  287.    "name": "python3"
  288.   },
  289.   "language_info": {
  290.    "codemirror_mode": {
  291.     "name": "ipython",
  292.     "version": 2
  293.    },
  294.    "file_extension": ".py",
  295.    "mimetype": "text/x-python",
  296.    "name": "python",
  297.    "nbconvert_exporter": "python",
  298.    "pygments_lexer": "ipython2",
  299.    "version": "2.7.15"
  300.   }
  301.  },
  302.  "nbformat": 4,
  303.  "nbformat_minor": 2
  304. }
RAW Paste Data
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