EXPLANATORY DATA  ANAYSIS USING THE NOBEL PEACE PRICE DATA SET.ipynb

{
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   "cell_type": "markdown",
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   "source": [
    "1. The most Nobel of Prizes\n",
    "\n",
    "\n",
    "The Nobel Prize is perhaps the world's most well known scientific award. Except for the honor, prestige and substantial prize money the recipient also gets a gold medal showing Alfred Nobel (1833 - 1896) who established the prize. Every year it's given to scientists and scholars in the categories chemistry, literature, physics, physiology or medicine, economics, and peace. The first Nobel Prize was handed out in 1901, and at that time the Prize was very Eurocentric and male-focused, but nowadays it's not biased in any way whatsoever. Surely. Right?\n",
    "\n",
    "Well, we're going to find out! The Nobel Foundation has made a dataset available of all prize winners from the start of the prize, in 1901, to 2016. Let's load it in and take a look."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\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>category</th>\n",
       "      <th>prize</th>\n",
       "      <th>motivation</th>\n",
       "      <th>prize_share</th>\n",
       "      <th>laureate_id</th>\n",
       "      <th>laureate_type</th>\n",
       "      <th>full_name</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>birth_country</th>\n",
       "      <th>sex</th>\n",
       "      <th>organization_name</th>\n",
       "      <th>organization_city</th>\n",
       "      <th>organization_country</th>\n",
       "      <th>death_date</th>\n",
       "      <th>death_city</th>\n",
       "      <th>death_country</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1901</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1901</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>160</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Jacobus Henricus van 't Hoff</td>\n",
       "      <td>1852-08-30</td>\n",
       "      <td>Rotterdam</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Male</td>\n",
       "      <td>Berlin University</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1911-03-01</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1901</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1901</td>\n",
       "      <td>\"in special recognition of his poetic composit...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>569</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Sully Prudhomme</td>\n",
       "      <td>1839-03-16</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1907-09-07</td>\n",
       "      <td>Châtenay</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1901</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1901</td>\n",
       "      <td>\"for his work on serum therapy, especially its...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>293</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Emil Adolf von Behring</td>\n",
       "      <td>1854-03-15</td>\n",
       "      <td>Hansdorf (Lawice)</td>\n",
       "      <td>Prussia (Poland)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Marburg University</td>\n",
       "      <td>Marburg</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1917-03-31</td>\n",
       "      <td>Marburg</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1901</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>462</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Jean Henry Dunant</td>\n",
       "      <td>1828-05-08</td>\n",
       "      <td>Geneva</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1910-10-30</td>\n",
       "      <td>Heiden</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1901</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>463</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Frédéric Passy</td>\n",
       "      <td>1822-05-20</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1912-06-12</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1901</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1901</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>1</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Wilhelm Conrad Röntgen</td>\n",
       "      <td>1845-03-27</td>\n",
       "      <td>Lennep (Remscheid)</td>\n",
       "      <td>Prussia (Germany)</td>\n",
       "      <td>Male</td>\n",
       "      <td>Munich University</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1923-02-10</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   year    category                                           prize  \\\n",
       "0  1901   Chemistry               The Nobel Prize in Chemistry 1901   \n",
       "1  1901  Literature              The Nobel Prize in Literature 1901   \n",
       "2  1901    Medicine  The Nobel Prize in Physiology or Medicine 1901   \n",
       "3  1901       Peace                      The Nobel Peace Prize 1901   \n",
       "4  1901       Peace                      The Nobel Peace Prize 1901   \n",
       "5  1901     Physics                 The Nobel Prize in Physics 1901   \n",
       "\n",
       "                                          motivation prize_share  laureate_id  \\\n",
       "0  \"in recognition of the extraordinary services ...         1/1          160   \n",
       "1  \"in special recognition of his poetic composit...         1/1          569   \n",
       "2  \"for his work on serum therapy, especially its...         1/1          293   \n",
       "3                                                NaN         1/2          462   \n",
       "4                                                NaN         1/2          463   \n",
       "5  \"in recognition of the extraordinary services ...         1/1            1   \n",
       "\n",
       "  laureate_type                     full_name  birth_date          birth_city  \\\n",
       "0    Individual  Jacobus Henricus van 't Hoff  1852-08-30           Rotterdam   \n",
       "1    Individual               Sully Prudhomme  1839-03-16               Paris   \n",
       "2    Individual        Emil Adolf von Behring  1854-03-15   Hansdorf (Lawice)   \n",
       "3    Individual             Jean Henry Dunant  1828-05-08              Geneva   \n",
       "4    Individual                Frédéric Passy  1822-05-20               Paris   \n",
       "5    Individual        Wilhelm Conrad Röntgen  1845-03-27  Lennep (Remscheid)   \n",
       "\n",
       "       birth_country   sex   organization_name organization_city  \\\n",
       "0        Netherlands  Male   Berlin University            Berlin   \n",
       "1             France  Male                 NaN               NaN   \n",
       "2   Prussia (Poland)  Male  Marburg University           Marburg   \n",
       "3        Switzerland  Male                 NaN               NaN   \n",
       "4             France  Male                 NaN               NaN   \n",
       "5  Prussia (Germany)  Male   Munich University            Munich   \n",
       "\n",
       "  organization_country  death_date death_city death_country  \n",
       "0              Germany  1911-03-01     Berlin       Germany  \n",
       "1                  NaN  1907-09-07   Châtenay        France  \n",
       "2              Germany  1917-03-31    Marburg       Germany  \n",
       "3                  NaN  1910-10-30     Heiden   Switzerland  \n",
       "4                  NaN  1912-06-12      Paris        France  \n",
       "5              Germany  1923-02-10     Munich       Germany  "
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Loading in required libraries\n",
    "import pandas as pd\n",
    "import seaborn as sns\n",
    "import numpy as np\n",
    "\n",
    "\n",
    "# Reading in the Nobel Prize data\n",
    "nobel  = pd.read_csv(r'C:\\Users\\DMONGARE\\Desktop\\J projects\\A Visual History of Nobel Prize Winners\\datasets\\nobel.csv')\n",
    "\n",
    "# Taking a look at the first several winners\n",
    "nobel.head(6)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 2. So, who gets the Nobel Prize?\n",
    "\n",
    "Just looking at the first couple of prize winners, or Nobel laureates as they are also called, we already see a celebrity: Wilhelm Conrad Röntgen, the guy who discovered X-rays. And actually, we see that all of the winners in 1901 were guys that came from Europe. But that was back in 1901, looking at all winners in the dataset, from 1901 to 2016, which sex and which country is the most commonly represented?\n",
    "\n",
    "(For country, we will use the birth_country of the winner, as the organization_country is NaN for all shared Nobel Prizes.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "911"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display the number of (possibly shared) Nobel Prizes handed out between 1901 and 2016\n",
    "display(len(nobel))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Male      836\n",
       "Female     49\n",
       "Name: sex, dtype: int64"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Display the number of prizes won by male and female recipients.\n",
    "display(nobel[\"sex\"].value_counts())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "United States of America    259\n",
       "United Kingdom               85\n",
       "Germany                      61\n",
       "France                       51\n",
       "Sweden                       29\n",
       "Japan                        24\n",
       "Canada                       18\n",
       "Netherlands                  18\n",
       "Italy                        17\n",
       "Russia                       17\n",
       "Name: birth_country, dtype: int64"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Display the number of prizes won by the top 10 nationalities.\n",
    "nobel[\"birth_country\"].value_counts().head(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. USA dominance\n",
    "\n",
    "Not so surprising perhaps: the most common Nobel laureate between 1901 and 2016 was a man born in the United States of America. But in 1901 all the winners were European. When did the USA start to dominate the Nobel Prize charts?    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>decade</th>\n",
       "      <th>usa_born_winner</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1900</td>\n",
       "      <td>0.017544</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1910</td>\n",
       "      <td>0.075000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1920</td>\n",
       "      <td>0.074074</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1930</td>\n",
       "      <td>0.250000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1940</td>\n",
       "      <td>0.302326</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>1950</td>\n",
       "      <td>0.291667</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1960</td>\n",
       "      <td>0.265823</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1970</td>\n",
       "      <td>0.317308</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1980</td>\n",
       "      <td>0.319588</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1990</td>\n",
       "      <td>0.403846</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>2000</td>\n",
       "      <td>0.422764</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>2010</td>\n",
       "      <td>0.292683</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    decade  usa_born_winner\n",
       "0     1900         0.017544\n",
       "1     1910         0.075000\n",
       "2     1920         0.074074\n",
       "3     1930         0.250000\n",
       "4     1940         0.302326\n",
       "5     1950         0.291667\n",
       "6     1960         0.265823\n",
       "7     1970         0.317308\n",
       "8     1980         0.319588\n",
       "9     1990         0.403846\n",
       "10    2000         0.422764\n",
       "11    2010         0.292683"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calculating the proportion of USA born winners per decade\n",
    "nobel['usa_born_winner'] = nobel['birth_country']=='United States of America'\n",
    "nobel['decade'] = (np.floor(nobel[\"year\"] / 10) * 10).astype(int)\n",
    "prop_usa_winners = nobel.groupby(\"decade\", as_index=False)[\"usa_born_winner\"].mean()\n",
    "\n",
    "# Display the proportions of USA born winners per decade\n",
    "prop_usa_winners"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 4. USA dominance, visualized\n",
    "\n",
    "A table is OK, but to see when the USA started to dominate the Nobel charts we need a plot!\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 792x504 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Setting the plotting theme\n",
    "sns.set()\n",
    "# and setting the size of all plots.\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['figure.figsize'] = [11, 7]\n",
    "\n",
    "# Plotting USA born winners \n",
    "ax = sns.lineplot(x='decade',y='usa_born_winner',data=nobel)\n",
    "\n",
    "# Adding %-formatting to the y-axis\n",
    "from matplotlib.ticker import PercentFormatter\n",
    "ax.yaxis.set_major_formatter(PercentFormatter())"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 8. How old are you when you get the prize?\n",
    "\n",
    "The list of repeat winners contains some illustrious names! We again meet Marie Curie, who got the prize in physics for discovering radiation and in chemistry for isolating radium and polonium. John Bardeen got it twice in physics for transistors and superconductivity, Frederick Sanger got it twice in chemistry, and Linus Carl Pauling got it first in chemistry and later in peace for his work in promoting nuclear disarmament. We also learn that organizations also get the prize as both the Red Cross and the UNHCR have gotten it twice.\n",
    "\n",
    "But how old are you generally when you get the prize?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1bb302c9b20>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x360 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Converting birth_date from String to datetime\n",
    "nobel['birth_date'] = pd.to_datetime(nobel[\"birth_date\"])\n",
    "\n",
    "# Calculating the age of Nobel Prize winners\n",
    "nobel['age'] = nobel['year']-nobel['birth_date'].dt.year\n",
    "\n",
    "# Plotting the age of Nobel Prize winners\n",
    "sns.lmplot(x='year',y='age',data=nobel,lowess=True, aspect=2,line_kws={'color' : 'black'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 9. Age differences between prize categories\n",
    "\n",
    "The plot above shows us a lot! We see that people use to be around 55 when they received the price, but nowadays the average is closer to 65. But there is a large spread in the laureates' ages, and while most are 50+, some are very young.\n",
    "\n",
    "We also see that the density of points is much high nowadays than in the early 1900s -- nowadays many more of the prizes are shared, and so there are many more winners. We also see that there was a disruption in awarded prizes around the Second World War (1939 - 1945).\n",
    "\n",
    "Let's look at age trends within different prize categories."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.FacetGrid at 0x1bb35c43730>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x2160 with 6 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Same plot as above, but separate plots for each type of Nobel Prize\n",
    "sns.lmplot(x='year',y='age',data=nobel,row='category',lowess=True, aspect=2,line_kws={'color' : 'black'})"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 10. Oldest and youngest winners\n",
    "\n",
    "More plots with lots of exciting stuff going on! We see that both winners of the chemistry, medicine, and physics prize have gotten older over time. The trend is strongest for physics: the average age used to be below 50, and now it's almost 70. Literature and economics are more stable. We also see that economics is a newer category. But peace shows an opposite trend where winners are getting younger!\n",
    "\n",
    "In the peace category we also a winner around 2010 that seems exceptionally young. This begs the questions, who are the oldest and youngest people ever to have won a Nobel Prize?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "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>category</th>\n",
       "      <th>prize</th>\n",
       "      <th>motivation</th>\n",
       "      <th>prize_share</th>\n",
       "      <th>laureate_id</th>\n",
       "      <th>laureate_type</th>\n",
       "      <th>full_name</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>...</th>\n",
       "      <th>sex</th>\n",
       "      <th>organization_name</th>\n",
       "      <th>organization_city</th>\n",
       "      <th>organization_country</th>\n",
       "      <th>death_date</th>\n",
       "      <th>death_city</th>\n",
       "      <th>death_country</th>\n",
       "      <th>usa_born_winner</th>\n",
       "      <th>decade</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>793</th>\n",
       "      <td>2007</td>\n",
       "      <td>Economics</td>\n",
       "      <td>The Sveriges Riksbank Prize in Economic Scienc...</td>\n",
       "      <td>\"for having laid the foundations of mechanism ...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>820</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Leonid Hurwicz</td>\n",
       "      <td>1917-08-21</td>\n",
       "      <td>Moscow</td>\n",
       "      <td>...</td>\n",
       "      <td>Male</td>\n",
       "      <td>University of Minnesota</td>\n",
       "      <td>Minneapolis, MN</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>2008-06-24</td>\n",
       "      <td>Minneapolis, MN</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>False</td>\n",
       "      <td>2000</td>\n",
       "      <td>90.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     year   category                                              prize  \\\n",
       "793  2007  Economics  The Sveriges Riksbank Prize in Economic Scienc...   \n",
       "\n",
       "                                            motivation prize_share  \\\n",
       "793  \"for having laid the foundations of mechanism ...         1/3   \n",
       "\n",
       "     laureate_id laureate_type       full_name birth_date birth_city  ...  \\\n",
       "793          820    Individual  Leonid Hurwicz 1917-08-21     Moscow  ...   \n",
       "\n",
       "      sex        organization_name organization_city  \\\n",
       "793  Male  University of Minnesota   Minneapolis, MN   \n",
       "\n",
       "         organization_country  death_date       death_city  \\\n",
       "793  United States of America  2008-06-24  Minneapolis, MN   \n",
       "\n",
       "                death_country usa_born_winner  decade   age  \n",
       "793  United States of America           False    2000  90.0  \n",
       "\n",
       "[1 rows x 21 columns]"
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The oldest winner of a Nobel Prize as of 2016\n",
    "nobel.nlargest(1,'age')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "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",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>year</th>\n",
       "      <th>category</th>\n",
       "      <th>prize</th>\n",
       "      <th>motivation</th>\n",
       "      <th>prize_share</th>\n",
       "      <th>laureate_id</th>\n",
       "      <th>laureate_type</th>\n",
       "      <th>full_name</th>\n",
       "      <th>birth_date</th>\n",
       "      <th>birth_city</th>\n",
       "      <th>...</th>\n",
       "      <th>sex</th>\n",
       "      <th>organization_name</th>\n",
       "      <th>organization_city</th>\n",
       "      <th>organization_country</th>\n",
       "      <th>death_date</th>\n",
       "      <th>death_city</th>\n",
       "      <th>death_country</th>\n",
       "      <th>usa_born_winner</th>\n",
       "      <th>decade</th>\n",
       "      <th>age</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>2014</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2014</td>\n",
       "      <td>\"for their struggle against the suppression of...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>914</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Malala Yousafzai</td>\n",
       "      <td>1997-07-12</td>\n",
       "      <td>Mingora</td>\n",
       "      <td>...</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>False</td>\n",
       "      <td>2010</td>\n",
       "      <td>17.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1 rows × 21 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     year category                       prize  \\\n",
       "885  2014    Peace  The Nobel Peace Prize 2014   \n",
       "\n",
       "                                            motivation prize_share  \\\n",
       "885  \"for their struggle against the suppression of...         1/2   \n",
       "\n",
       "     laureate_id laureate_type         full_name birth_date birth_city  ...  \\\n",
       "885          914    Individual  Malala Yousafzai 1997-07-12    Mingora  ...   \n",
       "\n",
       "        sex organization_name organization_city organization_country  \\\n",
       "885  Female               NaN               NaN                  NaN   \n",
       "\n",
       "    death_date death_city death_country usa_born_winner  decade   age  \n",
       "885        NaN        NaN           NaN           False    2010  17.0  \n",
       "\n",
       "[1 rows x 21 columns]"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# The youngest winner of a Nobel Prize as of 2016\n",
    "nobel.nsmallest(1,'age')"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 11. You get a prize!\n",
    "\n",
    "\n",
    "Hey! You get a prize for making it to the very end of this notebook! It might not be a Nobel Prize, but I made it myself in paint so it should count for something. But don't despair, Leonid Hurwicz was 90 years old when he got his prize, so it might not be too late for you. Who knows.\n",
    "\n",
    "Before you leave, what was again the name of the youngest winner ever who in 2014 got the prize for \"[her] struggle against the suppression of children and young people and for the right of all children to education\"?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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