foreign-students.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": true,
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "# noinspection PyUnresolvedReferences\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "      COUNTRY       Country                 INDICATOR  \\\n0         AUS     Australia  ENRL_SHARE_MOBILE-FIELDS   \n1         AUS     Australia  ENRL_SHARE_MOBILE-FIELDS   \n2         AUS     Australia  ENRL_SHARE_MOBILE-FIELDS   \n3         AUS     Australia  ENRL_SHARE_MOBILE-FIELDS   \n4         AUS     Australia  ENRL_SHARE_MOBILE-FIELDS   \n...       ...           ...                       ...   \n10641     ZAF  South Africa  ENRL_SHARE_MOBILE-FIELDS   \n10642     ZAF  South Africa         ENRL_SHARE_FIELDS   \n10643     ZAF  South Africa  ENRL_SHARE_MOBILE-FIELDS   \n10644     ZAF  South Africa         ENRL_SHARE_FIELDS   \n10645     ZAF  South Africa  ENRL_SHARE_MOBILE-FIELDS   \n\n                                 Indicator SEX Gender EDUCATION_LEV  \\\n0        Share of mobile students by field  _T  Total     ISCED11_5   \n1        Share of mobile students by field  _T  Total     ISCED11_6   \n2        Share of mobile students by field  _T  Total     ISCED11_7   \n3        Share of mobile students by field  _T  Total     ISCED11_8   \n4        Share of mobile students by field  _T  Total   ISCED11_5T8   \n...                                    ...  ..    ...           ...   \n10641    Share of mobile students by field  _T  Total     ISCED11_7   \n10642  Share of students enrolled by field  _T  Total     ISCED11_8   \n10643    Share of mobile students by field  _T  Total     ISCED11_8   \n10644  Share of students enrolled by field  _T  Total   ISCED11_5T8   \n10645    Share of mobile students by field  _T  Total   ISCED11_5T8   \n\n                      Education level MOBILITY  \\\n0      Short-cycle tertiary education      MOB   \n1      Bachelor’s or equivalent level      MOB   \n2        Master’s or equivalent level      MOB   \n3        Doctoral or equivalent level      MOB   \n4                  Tertiary education      MOB   \n...                               ...      ...   \n10641    Master’s or equivalent level      MOB   \n10642    Doctoral or equivalent level       _T   \n10643    Doctoral or equivalent level      MOB   \n10644              Tertiary education       _T   \n10645              Tertiary education      MOB   \n\n                             Mobility status EDUCATION_FIELD     Field  YEAR  \\\n0      Mobile including homecoming nationals              _T     Total  9999   \n1      Mobile including homecoming nationals              _T     Total  9999   \n2      Mobile including homecoming nationals              _T     Total  9999   \n3      Mobile including homecoming nationals              _T     Total  9999   \n4      Mobile including homecoming nationals              _T     Total  9999   \n...                                      ...             ...       ...   ...   \n10641  Mobile including homecoming nationals             F10  Services  9999   \n10642                                  Total             F10  Services  9999   \n10643  Mobile including homecoming nationals             F10  Services  9999   \n10644                                  Total             F10  Services  9999   \n10645  Mobile including homecoming nationals             F10  Services  9999   \n\n                        Year   Value Flag Codes          Flags  \n0      Latest available year  32.568        NaN            NaN  \n1      Latest available year  17.260        NaN            NaN  \n2      Latest available year  56.320        NaN            NaN  \n3      Latest available year  35.687        NaN            NaN  \n4      Latest available year  28.375        NaN            NaN  \n...                      ...     ...        ...            ...  \n10641  Latest available year     NaN          o  Missing value  \n10642  Latest available year   0.181        NaN            NaN  \n10643  Latest available year     NaN          o  Missing value  \n10644  Latest available year   0.487        NaN            NaN  \n10645  Latest available year     NaN          o  Missing value  \n\n[10646 rows x 17 columns]",
      "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>COUNTRY</th>\n      <th>Country</th>\n      <th>INDICATOR</th>\n      <th>Indicator</th>\n      <th>SEX</th>\n      <th>Gender</th>\n      <th>EDUCATION_LEV</th>\n      <th>Education level</th>\n      <th>MOBILITY</th>\n      <th>Mobility status</th>\n      <th>EDUCATION_FIELD</th>\n      <th>Field</th>\n      <th>YEAR</th>\n      <th>Year</th>\n      <th>Value</th>\n      <th>Flag Codes</th>\n      <th>Flags</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>AUS</td>\n      <td>Australia</td>\n      <td>ENRL_SHARE_MOBILE-FIELDS</td>\n      <td>Share of mobile students by field</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>ISCED11_5</td>\n      <td>Short-cycle tertiary education</td>\n      <td>MOB</td>\n      <td>Mobile including homecoming nationals</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>9999</td>\n      <td>Latest available year</td>\n      <td>32.568</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>AUS</td>\n      <td>Australia</td>\n      <td>ENRL_SHARE_MOBILE-FIELDS</td>\n      <td>Share of mobile students by field</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>ISCED11_6</td>\n      <td>Bachelor’s or equivalent level</td>\n      <td>MOB</td>\n      <td>Mobile including homecoming nationals</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>9999</td>\n      <td>Latest available year</td>\n      <td>17.260</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>AUS</td>\n      <td>Australia</td>\n      <td>ENRL_SHARE_MOBILE-FIELDS</td>\n      <td>Share of mobile students by field</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>ISCED11_7</td>\n      <td>Master’s or equivalent level</td>\n      <td>MOB</td>\n      <td>Mobile including homecoming nationals</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>9999</td>\n      <td>Latest available year</td>\n      <td>56.320</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>AUS</td>\n      <td>Australia</td>\n      <td>ENRL_SHARE_MOBILE-FIELDS</td>\n      <td>Share of mobile students by field</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>ISCED11_8</td>\n      <td>Doctoral or equivalent level</td>\n      <td>MOB</td>\n      <td>Mobile including homecoming nationals</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>9999</td>\n      <td>Latest available year</td>\n      <td>35.687</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>AUS</td>\n      <td>Australia</td>\n      <td>ENRL_SHARE_MOBILE-FIELDS</td>\n      <td>Share of mobile students by field</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>ISCED11_5T8</td>\n      <td>Tertiary education</td>\n      <td>MOB</td>\n      <td>Mobile including homecoming nationals</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>9999</td>\n      <td>Latest available year</td>\n      <td>28.375</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      <td>...</td>\n    </tr>\n    <tr>\n      <th>10641</th>\n      <td>ZAF</td>\n      <td>South Africa</td>\n      <td>ENRL_SHARE_MOBILE-FIELDS</td>\n      <td>Share of mobile students by field</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>ISCED11_7</td>\n      <td>Master’s or equivalent level</td>\n      <td>MOB</td>\n      <td>Mobile including homecoming nationals</td>\n      <td>F10</td>\n      <td>Services</td>\n      <td>9999</td>\n      <td>Latest available year</td>\n      <td>NaN</td>\n      <td>o</td>\n      <td>Missing value</td>\n    </tr>\n    <tr>\n      <th>10642</th>\n      <td>ZAF</td>\n      <td>South Africa</td>\n      <td>ENRL_SHARE_FIELDS</td>\n      <td>Share of students enrolled by field</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>ISCED11_8</td>\n      <td>Doctoral or equivalent level</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>F10</td>\n      <td>Services</td>\n      <td>9999</td>\n      <td>Latest available year</td>\n      <td>0.181</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>10643</th>\n      <td>ZAF</td>\n      <td>South Africa</td>\n      <td>ENRL_SHARE_MOBILE-FIELDS</td>\n      <td>Share of mobile students by field</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>ISCED11_8</td>\n      <td>Doctoral or equivalent level</td>\n      <td>MOB</td>\n      <td>Mobile including homecoming nationals</td>\n      <td>F10</td>\n      <td>Services</td>\n      <td>9999</td>\n      <td>Latest available year</td>\n      <td>NaN</td>\n      <td>o</td>\n      <td>Missing value</td>\n    </tr>\n    <tr>\n      <th>10644</th>\n      <td>ZAF</td>\n      <td>South Africa</td>\n      <td>ENRL_SHARE_FIELDS</td>\n      <td>Share of students enrolled by field</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>ISCED11_5T8</td>\n      <td>Tertiary education</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>F10</td>\n      <td>Services</td>\n      <td>9999</td>\n      <td>Latest available year</td>\n      <td>0.487</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>10645</th>\n      <td>ZAF</td>\n      <td>South Africa</td>\n      <td>ENRL_SHARE_MOBILE-FIELDS</td>\n      <td>Share of mobile students by field</td>\n      <td>_T</td>\n      <td>Total</td>\n      <td>ISCED11_5T8</td>\n      <td>Tertiary education</td>\n      <td>MOB</td>\n      <td>Mobile including homecoming nationals</td>\n      <td>F10</td>\n      <td>Services</td>\n      <td>9999</td>\n      <td>Latest available year</td>\n      <td>NaN</td>\n      <td>o</td>\n      <td>Missing value</td>\n    </tr>\n  </tbody>\n</table>\n<p>10646 rows × 17 columns</p>\n</div>"
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('https://gist.githubusercontent.com/BlackLight/abf1b54d2449fb4ae03fb6cdeba9b1f8/raw/eef00580baaf89a30b350823c575f94bdce88b03/foreign_students_by_country_and_field.csv')\n",
    "data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "education_levels = [\n",
    "    'Bachelor’s or equivalent level',\n",
    "    'Master’s or equivalent level',\n",
    "    'Doctoral or equivalent level',\n",
    "    'Tertiary education',\n",
    "    'Short-cycle tertiary education',\n",
    "]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [],
   "source": [
    "shares_by_education_level_and_country = {\n",
    "    education_level: pd.DataFrame(\n",
    "        data[\n",
    "            (data['Gender'] == 'Total') &\n",
    "            (data['Field'] == 'Total') &\n",
    "            (data['YEAR'] == 9999) &\n",
    "            (data['Education level'] == education_level) &\n",
    "            (data['MOBILITY'] == 'MOB')\n",
    "            ][\n",
    "            ['Country', 'Value']\n",
    "        ].groupby(\n",
    "            ['Country']\n",
    "        ).sum()\n",
    "    ).sort_values(by=['Value'], ascending=False)\n",
    "    for education_level in education_levels\n",
    "}"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "                  Value\nCountry                \nLuxembourg       23.858\nAustria          18.418\nNew Zealand      18.085\nAustralia        17.260\nUnited Kingdom   15.236\nCanada           12.932\nCzech Republic   12.118\nNetherlands      10.553\nHungary           9.642\nSwitzerland       9.591\nLatvia            8.418\nSlovak Republic   8.019\nIreland           7.704\nEstonia           7.368\nBelgium           7.159\nFrance            7.149\nGermany           6.604\nPortugal          6.149\nSlovenia          5.918\nDenmark           5.707\nRussia            5.649\nOECD - Europe     5.579\nFinland           5.529\nIceland           4.928\nOECD - Total      4.769\nUnited States     4.482\nLithuania         3.746\nGreece            3.696\nPoland            3.387\nJapan             3.065\nSweden            2.967\nIsrael            2.920\nKorea             2.894\nNorway            2.458\nTurkey            2.310\nItaly             2.093\nSpain             1.475\nMexico            0.555\nChile             0.456\nColombia          0.229\nBrazil            0.204\nIndonesia         0.000\nCosta Rica        0.000\nSouth Africa      0.000\nArgentina         0.000",
      "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>Value</th>\n    </tr>\n    <tr>\n      <th>Country</th>\n      <th></th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>Luxembourg</th>\n      <td>23.858</td>\n    </tr>\n    <tr>\n      <th>Austria</th>\n      <td>18.418</td>\n    </tr>\n    <tr>\n      <th>New Zealand</th>\n      <td>18.085</td>\n    </tr>\n    <tr>\n      <th>Australia</th>\n      <td>17.260</td>\n    </tr>\n    <tr>\n      <th>United Kingdom</th>\n      <td>15.236</td>\n    </tr>\n    <tr>\n      <th>Canada</th>\n      <td>12.932</td>\n    </tr>\n    <tr>\n      <th>Czech Republic</th>\n      <td>12.118</td>\n    </tr>\n    <tr>\n      <th>Netherlands</th>\n      <td>10.553</td>\n    </tr>\n    <tr>\n      <th>Hungary</th>\n      <td>9.642</td>\n    </tr>\n    <tr>\n      <th>Switzerland</th>\n      <td>9.591</td>\n    </tr>\n    <tr>\n      <th>Latvia</th>\n      <td>8.418</td>\n    </tr>\n    <tr>\n      <th>Slovak Republic</th>\n      <td>8.019</td>\n    </tr>\n    <tr>\n      <th>Ireland</th>\n      <td>7.704</td>\n    </tr>\n    <tr>\n      <th>Estonia</th>\n      <td>7.368</td>\n    </tr>\n    <tr>\n      <th>Belgium</th>\n      <td>7.159</td>\n    </tr>\n    <tr>\n      <th>France</th>\n      <td>7.149</td>\n    </tr>\n    <tr>\n      <th>Germany</th>\n      <td>6.604</td>\n    </tr>\n    <tr>\n      <th>Portugal</th>\n      <td>6.149</td>\n    </tr>\n    <tr>\n      <th>Slovenia</th>\n      <td>5.918</td>\n    </tr>\n    <tr>\n      <th>Denmark</th>\n      <td>5.707</td>\n    </tr>\n    <tr>\n      <th>Russia</th>\n      <td>5.649</td>\n    </tr>\n    <tr>\n      <th>OECD - Europe</th>\n      <td>5.579</td>\n    </tr>\n    <tr>\n      <th>Finland</th>\n      <td>5.529</td>\n    </tr>\n    <tr>\n      <th>Iceland</th>\n      <td>4.928</td>\n    </tr>\n    <tr>\n      <th>OECD - Total</th>\n      <td>4.769</td>\n    </tr>\n    <tr>\n      <th>United States</th>\n      <td>4.482</td>\n    </tr>\n    <tr>\n      <th>Lithuania</th>\n      <td>3.746</td>\n    </tr>\n    <tr>\n      <th>Greece</th>\n      <td>3.696</td>\n    </tr>\n    <tr>\n      <th>Poland</th>\n      <td>3.387</td>\n    </tr>\n    <tr>\n      <th>Japan</th>\n      <td>3.065</td>\n    </tr>\n    <tr>\n      <th>Sweden</th>\n      <td>2.967</td>\n    </tr>\n    <tr>\n      <th>Israel</th>\n      <td>2.920</td>\n    </tr>\n    <tr>\n      <th>Korea</th>\n      <td>2.894</td>\n    </tr>\n    <tr>\n      <th>Norway</th>\n      <td>2.458</td>\n    </tr>\n    <tr>\n      <th>Turkey</th>\n      <td>2.310</td>\n    </tr>\n    <tr>\n      <th>Italy</th>\n      <td>2.093</td>\n    </tr>\n    <tr>\n      <th>Spain</th>\n      <td>1.475</td>\n    </tr>\n    <tr>\n      <th>Mexico</th>\n      <td>0.555</td>\n    </tr>\n    <tr>\n      <th>Chile</th>\n      <td>0.456</td>\n    </tr>\n    <tr>\n      <th>Colombia</th>\n      <td>0.229</td>\n    </tr>\n    <tr>\n      <th>Brazil</th>\n      <td>0.204</td>\n    </tr>\n    <tr>\n      <th>Indonesia</th>\n      <td>0.000</td>\n    </tr>\n    <tr>\n      <th>Costa Rica</th>\n      <td>0.000</td>\n    </tr>\n    <tr>\n      <th>South Africa</th>\n      <td>0.000</td>\n    </tr>\n    <tr>\n      <th>Argentina</th>\n      <td>0.000</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "list(shares_by_education_level_and_country.values())[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {
    "pycharm": {
     "name": "#%%\n"
    }
   },
   "outputs": [
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": "<Figure size 432x288 with 1 Axes>",
      "image/png": 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\n"
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "for education_level, data in shares_by_education_level_and_country.items():\n",
    "    data[:20].plot(kind='bar', title=f'Foreign students share\\n{education_level}')"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "PyCharm (montecarlo-markov)",
   "language": "python",
   "name": "pycharm-c0408362"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.7"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}