0. An overview of Switzerland in the Panama Papers.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import requests"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## The panama papers content\n",
    "\n",
    "###  Entities:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "entities = pd.read_csv('../data/panama/Entities.csv', header=0, low_memory=False)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Retain only Swiss Entities (not matching some wrong country classification):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from helpers.swiss_codes import filter_swiss\n",
    "swiss_entities = filter_swiss(entities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "7.68 % of the entities are located in Switzerland.\n"
     ]
    }
   ],
   "source": [
    "percent = 100*len(swiss_entities)/len(entities)\n",
    "print('%.2f' % percent, '% of the entities are located in Switzerland.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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YeI/tQ8cUz8hkzlvmvEVERHTFfSoVImlb29dI2mnQ721fOocxjlyStyRvERERXXFfk7dP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\nB8et2IMzCijmAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x118eb7fd0>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = entities[['name','countries']].groupby('countries').count() \\\n",
    "    .sort_values(by='name',ascending=False).head(15)\n",
    "df.plot.bar(legend=False, figsize=(10,6), color=['r' if d == 'Switzerland' else 'b' for d in df.index])\n",
    "plt.ylabel('Number of entities')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Parse all Swiss Entities and assign corresponding postal code and canton column:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "from helpers.swiss_codes import add_columns\n",
    "\n",
    "data = add_columns(swiss_entities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {
    "collapsed": false,
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "import json\n",
    "try:\n",
    "    with open('data/addresses.json', 'r') as fp:\n",
    "        addresses = json.load(fp)\n",
    "except:\n",
    "    code_url = 'http://api.geonames.org/postalCodeSearchJSON?'\n",
    "    params = {'username':'lionelfleury','country':'CH','postalcode':'1015'}\n",
    "    addresses = {}\n",
    "    for code in postal_codes:\n",
    "        params.update({'postalcode':code})\n",
    "        r = requests.get(code_url, params)\n",
    "        try:\n",
    "            a = r.json()['postalCodes'][0]\n",
    "            addresses[code] = a\n",
    "        except:\n",
    "            print('Postal code not found:',code)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'adminCode1': 'VD',\n",
       " 'adminCode2': '2225',\n",
       " 'adminCode3': '5586',\n",
       " 'adminName1': 'Canton de Vaud',\n",
       " 'adminName2': 'District de Lausanne',\n",
       " 'adminName3': 'Lausanne',\n",
       " 'countryCode': 'CH',\n",
       " 'lat': 46.52913524902344,\n",
       " 'lng': 6.652444170227051,\n",
       " 'placeName': 'Lausanne',\n",
       " 'postalCode': '1000'}"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "addresses['1000']"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Intermedietaries"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "inter = pd.read_csv('../data/panama/Intermediaries.csv', header=0, low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "swiss_inter = filter_swiss(inter)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.35 % of the intermedietaries are located in Switzerland.\n"
     ]
    }
   ],
   "source": [
    "percent = 100*len(swiss_inter)/len(inter)\n",
    "print('%.2f' % percent, '% of the intermedietaries are located in Switzerland.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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X0ThjAkiyE+vH9N8dwxmVESZE59DehwPcHvjBcPnmwH8Dd5xyPACvHj7fGLgP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\nWcMb1nOq6jW9YlhIko32KK2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X7HvZcxPBQtude9aKGbMkV9KmMv6O1mOy27R5kj8HfgP4\nLu13at+qqiS/CBxXVQ/a6BNIq0CSRwG7VdU/DtfPBG5D+3/6gqr6t87x3Za2pOCnwM605SHPr6of\n9YxL4+NZ8/rNyF/CSKo8j7HvZZIHAA8EbjNvjcAOtGrL2tATgV+hTQH/YZJPAqdV1SnTDqSq/ibJ\nKcBtgZMmSiJsQ1uLJm0NXkArTjvrRsC9adXgjwW6JmhV9Z0kHwIOp42qH2ZypoWs+RG0ST0L0i1m\nofo4vWrmDD0k19HWoB01cdMVwPuq6qJpx7RaDDW9DqR1F9ipqm7SOSRpq5TkrKq678T1f6iq/ztc\nPqOq9usXHSQ5mdZd5Dm01lPH0E7a/rRnXGOS5I5V9bVNHdvamaBNGOM0XZIP03YATva9fHBVHdAx\npjsMa/a0CUn+ndaw+Su0llinA2dW1U+7BiZtpZL8V1X94iK3faWq9px2TPNieHRVvWfi+rbA4VX1\nVx3DGpVFltGcU1X37hVTD05xjt8TadOuJzDX9/KJPQJJ8tqqei7wD0k2yOx71jwamyT3Bb5JK2Vx\nHq3w8WNpa04+R1t/Imn5fTrJ04edktdJ8kzgzE4xXWcyORuuX0NrcbbmDTMNvwTsOK8Lyw6swZI7\na34Ebd4upJsCV87eRP9dSNcZQ9/LJPeuqnOGqc4NjHGrfS9JzgV+raq+P9QcexdzNcfuWlW9ao5J\nW7UkO9H6F1/FXFmNewO/ADy6qi7tFRts8J5zI+CGwI+qasd+UY3DsMHj0bSKCu+duOkK4F0j2YU7\nNWs+QRs7+16uTkk+W1X3GC7/I/A/VXXkcP0zPXrKSWtJkofRRmMAPl9Vp/aMZyFpFVgfBexXVYf1\njmcskjygqj7VO47eTNBGLsmnaRXe3zvRWPdzVfXLHWN6EK1y+B1o0+TdG7iPTZLPAfesqmuSfAl4\nxmyT5t4/P0njMsYNaj0l2Y1WOH629M/pwCFVdXG/qKbPNWirwAj7Xh4DPI/WeLh3LGP1L7See9+l\n9Zc8HWCoObYm+8pJgnlrq7YB7oNrUuc7Fngn8Pjh+pOHY4/oFlEHJmjjN8a+lz+sqhM7xzBq1hyT\ntIjJJu7XAF9nRF1sRmKnqjp24vpbkjy3WzSdOMU5ckluTet7+Wu0qcSTgOf0bPWU5OW0wrT/QVuI\nC0BVjaHPnSStKkmeW1Wv7R3HWAwnt8fSZiKgVS54alU9vF9U02eCNnJJHlRVn9jUsSnH9NEFDldV\nPWzqwUjSKpfkv6vq9r3jGIskd6CtQXsAbcfrJ2kDE//dNbApM0EbOfteStLWLck3q2r33nFoXFyD\nNlJj7Hs5Lw5oZzbfBT6+1lpwSNIycqQESPKXG7m51lq3BRO08boRrbnvtsD2E8cvp5Xd6GH7BY7t\nAfx5kiOr6l1TjkeSVoV5BWrXuwmwN2+zUDH27YCDgVuxxjouOMU5cquh72WSWwInO+0qSVoOSban\nVS04GDgeeHVVXdY3qulyBG2kVlPfy6GdUTZ9T0mSFjec8B8KPAk4Dti3qn7QN6o+TNDG623D5//X\nNYolSPJQYE3+AUmSlkeSVwGPAY4G7lZVP+ocUldOcWrJklzAhmsobgl8G3hKVX1p+lFJkrYGSa6l\n1da8hvXfa2bbCe7QJbBOTNBGbkx9L4faNJMK+F5VLbSwU5IkbSYTtJEbGm1v0Peyqr7XLShJkrSi\nXIM2fva9lCRpjXEEbeTseylJ0tpjgjZy9r2UJGntMUGTJEkaGdegjZR9LyVJWru26R2AFrX9vI8d\ngPsAJyb53Z6BSZKkleUU5ypj30tJkrZ+jqCtMlX1fVqxWkmStJUyQVtl7HspSdLWz00CI7WpvpfT\nj0iSJE2La9BGyr6XkiStXSZokiRJI+MaNEmSpJExQZMkSRoZEzRJkqSRMUGTpCVKckiSG2/k9qOT\n3GWaMUnaOrlJQJKWKMnXgHsPBaPn37ZNVV3bISxJWyFH0CRtVZI8Jclnk5yX5Lgkd0hySpLPJPlI\nkt2G+x2b5DETj7ti+PyQJB9N8u4kX0zytuH4nwC3Az6a5JTZxyT5f0nOAx4wPG7f4bZHJPlkkrOT\n/GuSmw7HX57kc0M8r5zqN0fSqmGhWklbjST7AC8CHlBVP0hyC+A44NiqenuSpwKvB357gYdPTifc\nE9gHuAT4RJIHVtXrkzwPWFdVs908tgM+VVV/Orz+bBy3Av4CeHhV/STJC4BDk7wBeHRV3WW43w7L\n+g34/+3dMWsUQRjG8f9TGEEb8QMEQdJaSVDSmQ8gFinEIKbXwmBp66eIRcAiRSBgFy0EEUVstLK2\nkRTaqEUinLwWN4ELycFpNWz+v2aHnd29neZ49p1hV9JgWEGTNCQ3gO3DANW214Gt1v8MWJrhOh+q\naq/Ga0A+AZfa/nD0W7gjYOeE868xDnhvW3XtLjAP/AD2kzxNcgvY/4exSTpFrKBJGrppC21HtIfU\njK89iioAAADySURBVEtfcxN9vyfaf5j+X3lQJy/kDfCyqu4c60gWgWVgBbjf2pJ0hBU0SUPyClhJ\nchGgbd8Bt1v/KvCmtb8AV1v7JnBmhuv/BCanJTPluPfAUpLL7T7OJVlIch64UFW7wDpwZZZBSTp9\nrKBJGoyq+pzkCfA6yQj4CDwANpM8Ar4Ba+3wDeB5m4J8AUz7zu1khWwD2E3ytaqWOV6dq3Yf35Pc\nA7aSnG37HwO/2m8evqrj4f+PVtKQ+ZoNSZKkzjjFKUmS1BkDmiRJUmcMaJIkSZ0xoEmSJHXGgCZJ\nktQZA5okSVJnDGiSJEmdMaBJkiR15i8w9scH3IpwfwAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x11c62ca90>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = inter[['name','countries']].groupby('countries').count() \\\n",
    "    .sort_values(by='name',ascending=False).head(15)\n",
    "df.plot.bar(legend=False, figsize=(10,6), color=['r' if d == 'Switzerland' else 'b' for d in df.index])\n",
    "plt.ylabel('Number of intermedietaries')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Officers"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "officers = pd.read_csv('../data/panama/Officers.csv', header=0, low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "swiss_officers = filter_swiss(officers, process_address=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1.24 % of the officers are located in Switzerland.\n"
     ]
    }
   ],
   "source": [
    "percent = 100*len(swiss_officers)/len(officers)\n",
    "print('%.2f' % percent, '% of the officers are located in Switzerland.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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WOkRERETEPBsnCXs7cLakTwACngv834lGFREREREjjbVgQdKuwFPr1TNtXzbRqCYgCxZg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\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x131577208>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = officers[['name','countries']].groupby('countries').count() \\\n",
    "    .sort_values(by='name',ascending=False).head(15)\n",
    "df.plot.bar(legend=False, figsize=(10,6), color=['r' if d == 'Switzerland' else 'b' for d in df.index])\n",
    "plt.ylabel('Number of officers')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Addresses"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": [
    "addrs = pd.read_csv('../data/panama/Addresses.csv', header=0, low_memory=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "swiss_addrs = filter_swiss(addrs)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2.11 % of the addresses are located in Switzerland.\n"
     ]
    }
   ],
   "source": [
    "percent = 100*len(swiss_addrs)/len(addrs)\n",
    "print('%.2f' % percent, '% of the addresses are located in Switzerland.')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "image/png": 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dzfXVgdNsv2gM8c2YLJtClk0jIiK6YVlPm64N/KXv+l+asYiIiIgYs2FOmx4LXCzppOb6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\nkqQRYvImSZI0QkzeJEmSRsh/AUpBNoDvS8hDAAAAAElFTkSuQmCC\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x124ad3b38>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "df = addrs[['address','countries']].groupby('countries').count() \\\n",
    "    .sort_values(by='address',ascending=False).head(15)\n",
    "df.plot.bar(legend=False, figsize=(10,6), color=['r' if d == 'Switzerland' else 'b' for d in df.index])\n",
    "plt.ylabel('Number of addresses')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "anaconda-cloud": {},
  "kernelspec": {
   "display_name": "Python [Root]",
   "language": "python",
   "name": "Python [Root]"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}