Visual-History-of-Nobel-Prize-Laureates.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# A Visual History of Nobel Prize Winners\n",
    "\n",
    "\n",
    "\n",
    "The Nobel Prize is perhaps the world's most well known scientific award. Every year it is given to scientists and scholars in chemistry, literature, physics, medicine, economics, and peace. In this project, we aim at exploring patterns and trends in over 100 years worth of Nobel Prize winners.\n",
    "\n",
    "Specifically, we try to answer the following questions:\n",
    "\n",
    "1. Who gets the Nobel Prize?\n",
    "2. What is the gender of a typical Nobel Prize winner?\n",
    "3. Dominant country in each field?\n",
    "4. USA dominance, visualized\n",
    "5. The first woman to win the Nobel Prize\n",
    "6. Organizations vs. Individuals\n",
    "7. Oldest and youngest winners\n",
    "8. Age differences between prize categories\n",
    "\n",
    "The dataset we use can be found on kaggle: https://www.kaggle.com/nobelfoundation/nobel-laureates"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 1. Data Cleaning & Transformations:\n",
    "\n",
    "We start by inspecting the data and cleaning it. We will have a look at the missing values, the noisy values and try to clean the data as much as possible. We as well will perform some transformations and pre-processing on the data so as to serve answering our target questions."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "%matplotlib inline\n",
    "import pandas as pd\n",
    "import numpy as np\n",
    "import warnings\n",
    "import matplotlib.pyplot as plt\n",
    "warnings.filterwarnings('ignore')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>72</th>\n",
       "      <td>1912</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1912</td>\n",
       "      <td>\"in recognition of his work on vascular suture...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>306</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Alexis Carrel</td>\n",
       "      <td>1873-06-28</td>\n",
       "      <td>Sainte-Foy-lès-Lyon</td>\n",
       "      <td>France</td>\n",
       "      <td>Male</td>\n",
       "      <td>Rockefeller Institute for Medical Research</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1944-11-05</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>853</th>\n",
       "      <td>2009</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 2009</td>\n",
       "      <td>\"for studies of the structure and function of ...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>841</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Venkatraman Ramakrishnan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chidambaram, Tamil Nadu</td>\n",
       "      <td>India</td>\n",
       "      <td>Male</td>\n",
       "      <td>MRC Laboratory of Molecular Biology</td>\n",
       "      <td>Cambridge</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>894</th>\n",
       "      <td>2011</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 2011</td>\n",
       "      <td>\"for the discovery of the accelerating expansi...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>864</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Saul Perlmutter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Champaign-Urbana, IL</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Male</td>\n",
       "      <td>Lawrence Berkeley National Laboratory</td>\n",
       "      <td>Berkeley, CA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>866</th>\n",
       "      <td>2009</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2009</td>\n",
       "      <td>\"for his extraordinary efforts to strengthen i...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>845</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Barack H. Obama</td>\n",
       "      <td>1961-08-04</td>\n",
       "      <td>Honolulu, HI</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Male</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>603</th>\n",
       "      <td>1988</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1988</td>\n",
       "      <td>\"for the determination of the three-dimensiona...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>271</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Robert Huber</td>\n",
       "      <td>1937-02-20</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Male</td>\n",
       "      <td>Max-Planck-Institut für Biochemie</td>\n",
       "      <td>Martinsried</td>\n",
       "      <td>Federal Republic of Germany</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>53</th>\n",
       "      <td>1909</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1909</td>\n",
       "      <td>\"for his work on the physiology, pathology and...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>303</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Emil Theodor Kocher</td>\n",
       "      <td>1841-08-25</td>\n",
       "      <td>Berne</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>Male</td>\n",
       "      <td>Berne University</td>\n",
       "      <td>Berne</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>1917-07-27</td>\n",
       "      <td>Berne</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>950</th>\n",
       "      <td>2015</td>\n",
       "      <td>Economics</td>\n",
       "      <td>The Sveriges Riksbank Prize in Economic Scienc...</td>\n",
       "      <td>\"for his analysis of consumption, poverty, and...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>926</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Angus Deaton</td>\n",
       "      <td>1945-10-19</td>\n",
       "      <td>Edinburgh</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Male</td>\n",
       "      <td>Princeton University</td>\n",
       "      <td>Princeton, NJ</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>164</th>\n",
       "      <td>1931</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1931</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>497</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Nicholas Murray Butler</td>\n",
       "      <td>1862-04-02</td>\n",
       "      <td>Elizabeth, NJ</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Male</td>\n",
       "      <td>Columbia University</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1947-12-07</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>265</th>\n",
       "      <td>1950</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1950</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>511</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Ralph Bunche</td>\n",
       "      <td>1904-08-07</td>\n",
       "      <td>Detroit, MI</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Male</td>\n",
       "      <td>Harvard University</td>\n",
       "      <td>Cambridge, MA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1971-12-09</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1902</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1902</td>\n",
       "      <td>\"in recognition of the extraordinary service t...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>3</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Pieter Zeeman</td>\n",
       "      <td>1865-05-25</td>\n",
       "      <td>Zonnemaire</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>Male</td>\n",
       "      <td>Amsterdam University</td>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1943-10-09</td>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>Netherlands</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year   Category                                              Prize  \\\n",
       "72   1912   Medicine     The Nobel Prize in Physiology or Medicine 1912   \n",
       "853  2009  Chemistry                  The Nobel Prize in Chemistry 2009   \n",
       "894  2011    Physics                    The Nobel Prize in Physics 2011   \n",
       "866  2009      Peace                         The Nobel Peace Prize 2009   \n",
       "603  1988  Chemistry                  The Nobel Prize in Chemistry 1988   \n",
       "53   1909   Medicine     The Nobel Prize in Physiology or Medicine 1909   \n",
       "950  2015  Economics  The Sveriges Riksbank Prize in Economic Scienc...   \n",
       "164  1931      Peace                         The Nobel Peace Prize 1931   \n",
       "265  1950      Peace                         The Nobel Peace Prize 1950   \n",
       "12   1902    Physics                    The Nobel Prize in Physics 1902   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "72   \"in recognition of his work on vascular suture...         1/1   \n",
       "853  \"for studies of the structure and function of ...         1/3   \n",
       "894  \"for the discovery of the accelerating expansi...         1/2   \n",
       "866  \"for his extraordinary efforts to strengthen i...         1/1   \n",
       "603  \"for the determination of the three-dimensiona...         1/3   \n",
       "53   \"for his work on the physiology, pathology and...         1/1   \n",
       "950  \"for his analysis of consumption, poverty, and...         1/1   \n",
       "164                                                NaN         1/2   \n",
       "265                                                NaN         1/1   \n",
       "12   \"in recognition of the extraordinary service t...         1/2   \n",
       "\n",
       "     Laureate ID Laureate Type                 Full Name  Birth Date  \\\n",
       "72           306    Individual             Alexis Carrel  1873-06-28   \n",
       "853          841    Individual  Venkatraman Ramakrishnan         NaN   \n",
       "894          864    Individual           Saul Perlmutter         NaN   \n",
       "866          845    Individual           Barack H. Obama  1961-08-04   \n",
       "603          271    Individual              Robert Huber  1937-02-20   \n",
       "53           303    Individual       Emil Theodor Kocher  1841-08-25   \n",
       "950          926    Individual              Angus Deaton  1945-10-19   \n",
       "164          497    Individual    Nicholas Murray Butler  1862-04-02   \n",
       "265          511    Individual              Ralph Bunche  1904-08-07   \n",
       "12             3    Individual             Pieter Zeeman  1865-05-25   \n",
       "\n",
       "                  Birth City             Birth Country   Sex  \\\n",
       "72       Sainte-Foy-lès-Lyon                    France  Male   \n",
       "853  Chidambaram, Tamil Nadu                     India  Male   \n",
       "894     Champaign-Urbana, IL  United States of America  Male   \n",
       "866             Honolulu, HI  United States of America  Male   \n",
       "603                   Munich                   Germany  Male   \n",
       "53                     Berne               Switzerland  Male   \n",
       "950                Edinburgh            United Kingdom  Male   \n",
       "164            Elizabeth, NJ  United States of America  Male   \n",
       "265              Detroit, MI  United States of America  Male   \n",
       "12                Zonnemaire               Netherlands  Male   \n",
       "\n",
       "                              Organization Name Organization City  \\\n",
       "72   Rockefeller Institute for Medical Research      New York, NY   \n",
       "853         MRC Laboratory of Molecular Biology         Cambridge   \n",
       "894       Lawrence Berkeley National Laboratory      Berkeley, CA   \n",
       "866                                         NaN               NaN   \n",
       "603           Max-Planck-Institut für Biochemie       Martinsried   \n",
       "53                             Berne University             Berne   \n",
       "950                        Princeton University     Princeton, NJ   \n",
       "164                         Columbia University      New York, NY   \n",
       "265                          Harvard University     Cambridge, MA   \n",
       "12                         Amsterdam University         Amsterdam   \n",
       "\n",
       "            Organization Country  Death Date    Death City  \\\n",
       "72      United States of America  1944-11-05         Paris   \n",
       "853               United Kingdom         NaN           NaN   \n",
       "894     United States of America         NaN           NaN   \n",
       "866                          NaN         NaN           NaN   \n",
       "603  Federal Republic of Germany         NaN           NaN   \n",
       "53                   Switzerland  1917-07-27         Berne   \n",
       "950     United States of America         NaN           NaN   \n",
       "164     United States of America  1947-12-07  New York, NY   \n",
       "265     United States of America  1971-12-09  New York, NY   \n",
       "12                   Netherlands  1943-10-09     Amsterdam   \n",
       "\n",
       "                Death Country  \n",
       "72                     France  \n",
       "853                       NaN  \n",
       "894                       NaN  \n",
       "866                       NaN  \n",
       "603                       NaN  \n",
       "53                Switzerland  \n",
       "950                       NaN  \n",
       "164  United States of America  \n",
       "265  United States of America  \n",
       "12                Netherlands  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Inspecting the data\n",
    "nobel_data = pd.read_csv(\"Data - Nobel Prize Laureates.csv\")\n",
    "nobel_data.sample(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Unique Values and Duplicate Records:**    \n",
    "We will take a look at the number of unique values in each column and checkout the shape of the dataset. The ID column should be unique, that means that the number of rows must be the same as the number of unique values in ID column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(969, 18)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#print number of rows by number of columns\n",
    "nobel_data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year                    113\n",
       "Category                  6\n",
       "Prize                   579\n",
       "Motivation              565\n",
       "Prize Share               4\n",
       "Laureate ID             904\n",
       "Laureate Type             2\n",
       "Full Name               904\n",
       "Birth Date              868\n",
       "Birth City              601\n",
       "Birth Country           121\n",
       "Sex                       2\n",
       "Organization Name       315\n",
       "Organization City       186\n",
       "Organization Country     29\n",
       "Death Date              582\n",
       "Death City              291\n",
       "Death Country            50\n",
       "dtype: int64"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#print the count of unique values in each column\n",
    "nobel_data.nunique()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We realise there are 969 records in the data, however there are only 904 IDs. This indicates we have duplicate records that need to be eliminated. We shall use pandas' drop_duplicates method and make sure that the number of records matches the number of unique IDs then."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(904, 18)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#based on the ID column, drop duplicates keeping only the first occurence\n",
    "nobel_no_dup = nobel_data.drop_duplicates(subset='Laureate ID', keep='first')\n",
    "\n",
    "#check that the number of records is now the same as the number of unique IDs\n",
    "nobel_no_dup.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "**Missing Values Analysis and Imputation:**    \n",
    "We will now analyze the missing values and try to derive conclusions about what are plausible values and techniques to impute with, and what values can be manually filled using the internet."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Missing Data Percentage: 11.54%\n"
     ]
    }
   ],
   "source": [
    "#Check the missing values in the dataset\n",
    "# get the number of missing data points per column\n",
    "missing_values = nobel_no_dup.isnull().sum()\n",
    "\n",
    "# We want to check the percentage of the missing values.\n",
    "#Therefore we get the number of missing values and number of total cells to calculate %\n",
    "total_cells = np.product(nobel_no_dup.shape) \n",
    "total_missing_cells = missing_values.sum()\n",
    "\n",
    "# percent of data that is missing\n",
    "percentage_missing_values = (total_missing_cells/total_cells) * 100\n",
    "percentage_missing_values = '%.2f' % percentage_missing_values\n",
    "print(\"Missing Data Percentage: \" + str(percentage_missing_values) + \"%\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Having calculated the percentage of the missing data, we can't simply drop the records with missing values since the percentage exceeds the safe zone (2-3%). Therefore, further analysis of the missing values is needed. We will start by looking at the \"Laureate Type\" column.  \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Individual      877\n",
       "Organization     27\n",
       "Name: Laureate Type, dtype: int64"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check the different values in the column along with their counts\n",
    "nobel_no_dup['Laureate Type'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We note that there are two unique values for the \"Laureate Type\" column: Individual and Organization. We also note that most of the records are individuals vs, very small % which are organizations. It is particularly interesting to look at the demographics data of the organization records."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "        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>24</th>\n",
       "      <td>1904</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>467</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Institut de droit international (Institute of ...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>1910</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>477</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Bureau international permanent de la Paix (Per...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1917</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1917</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>482</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Comité international de la Croix Rouge (Intern...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>1938</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1938</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>503</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Office international Nansen pour les Réfugiés ...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>1947</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>508</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Friends Service Council (The Quakers)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>1947</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>509</td>\n",
       "      <td>Organization</td>\n",
       "      <td>American Friends Service Committee (The Quakers)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>1954</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1954</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>515</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Office of the United Nations High Commissioner...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>1963</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1963</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>523</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Ligue des Sociétés de la Croix-Rouge (League o...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>1965</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1965</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>525</td>\n",
       "      <td>Organization</td>\n",
       "      <td>United Nations Children's Fund (UNICEF)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>1969</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1969</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>527</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Labour Organization (I.L.O.)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>1973</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1973</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>531</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Le Duc Tho</td>\n",
       "      <td>1911-10-14</td>\n",
       "      <td>Nam Ha province</td>\n",
       "      <td>Vietnam</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-10-13</td>\n",
       "      <td>Hanoi</td>\n",
       "      <td>Vietnam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>1977</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>537</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Amnesty International</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>1979</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1979</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>540</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Mother Teresa</td>\n",
       "      <td>1910-08-26</td>\n",
       "      <td>Uskup (Skopje)</td>\n",
       "      <td>Ottoman Empire (Republic of Macedonia)</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1997-09-05</td>\n",
       "      <td>Calcutta</td>\n",
       "      <td>India</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>1985</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>547</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Physicians for the Prevention of...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>1988</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1988</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>550</td>\n",
       "      <td>Organization</td>\n",
       "      <td>United Nations Peacekeeping Forces</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>1989</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1989</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>551</td>\n",
       "      <td>Organization</td>\n",
       "      <td>The 14th Dalai Lama (Tenzin Gyatso)</td>\n",
       "      <td>1935-07-06</td>\n",
       "      <td>Taktser</td>\n",
       "      <td>Tibet (People's Republic of China)</td>\n",
       "      <td>Male</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>1991</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1991</td>\n",
       "      <td>\"for her non-violent struggle for democracy an...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>553</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Aung San Suu Kyi</td>\n",
       "      <td>1945-06-19</td>\n",
       "      <td>Rangoon (Yangon)</td>\n",
       "      <td>Burma (Myanmar)</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1995</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1995</td>\n",
       "      <td>\"for their efforts to diminish the part played...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>561</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Pugwash Conferences on Science and World Affairs</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>1997</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1997</td>\n",
       "      <td>\"for their work for the banning and clearing o...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>564</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Campaign to Ban Landmines (ICBL)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>1999</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1999</td>\n",
       "      <td>\"in recognition of the organization's pioneeri...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>568</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Médecins Sans Frontières</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>2001</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2001</td>\n",
       "      <td>\"for their work for a better organized and mor...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>748</td>\n",
       "      <td>Organization</td>\n",
       "      <td>United Nations (U.N.)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>2005</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2005</td>\n",
       "      <td>\"for their efforts to prevent nuclear energy f...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>797</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Atomic Energy Agency (IAEA)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>821</th>\n",
       "      <td>2006</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2006</td>\n",
       "      <td>\"for their efforts to create economic and soci...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>810</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Grameen Bank</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>2007</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2007</td>\n",
       "      <td>\"for their efforts to build up and disseminate...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>818</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Intergovernmental Panel on Climate Change (IPCC)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>909</th>\n",
       "      <td>2012</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2012</td>\n",
       "      <td>\"for over six decades contributed to the advan...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>881</td>\n",
       "      <td>Organization</td>\n",
       "      <td>European Union (EU)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>2013</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2013</td>\n",
       "      <td>\"for its extensive efforts to eliminate chemic...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>893</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Organisation for the Prohibition of Chemical W...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>2015</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2015</td>\n",
       "      <td>\"for its decisive contribution to the building...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>925</td>\n",
       "      <td>Organization</td>\n",
       "      <td>National Dialogue Quartet</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year Category                       Prize  \\\n",
       "24   1904    Peace  The Nobel Peace Prize 1904   \n",
       "61   1910    Peace  The Nobel Peace Prize 1910   \n",
       "90   1917    Peace  The Nobel Peace Prize 1917   \n",
       "206  1938    Peace  The Nobel Peace Prize 1938   \n",
       "244  1947    Peace  The Nobel Peace Prize 1947   \n",
       "245  1947    Peace  The Nobel Peace Prize 1947   \n",
       "295  1954    Peace  The Nobel Peace Prize 1954   \n",
       "366  1963    Peace  The Nobel Peace Prize 1963   \n",
       "383  1965    Peace  The Nobel Peace Prize 1965   \n",
       "416  1969    Peace  The Nobel Peace Prize 1969   \n",
       "452  1973    Peace  The Nobel Peace Prize 1973   \n",
       "498  1977    Peace  The Nobel Peace Prize 1977   \n",
       "520  1979    Peace  The Nobel Peace Prize 1979   \n",
       "578  1985    Peace  The Nobel Peace Prize 1985   \n",
       "610  1988    Peace  The Nobel Peace Prize 1988   \n",
       "620  1989    Peace  The Nobel Peace Prize 1989   \n",
       "640  1991    Peace  The Nobel Peace Prize 1991   \n",
       "682  1995    Peace  The Nobel Peace Prize 1995   \n",
       "705  1997    Peace  The Nobel Peace Prize 1997   \n",
       "728  1999    Peace  The Nobel Peace Prize 1999   \n",
       "754  2001    Peace  The Nobel Peace Prize 2001   \n",
       "808  2005    Peace  The Nobel Peace Prize 2005   \n",
       "821  2006    Peace  The Nobel Peace Prize 2006   \n",
       "833  2007    Peace  The Nobel Peace Prize 2007   \n",
       "909  2012    Peace  The Nobel Peace Prize 2012   \n",
       "927  2013    Peace  The Nobel Peace Prize 2013   \n",
       "955  2015    Peace  The Nobel Peace Prize 2015   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "24                                                 NaN         1/1   \n",
       "61                                                 NaN         1/1   \n",
       "90                                                 NaN         1/1   \n",
       "206                                                NaN         1/1   \n",
       "244                                                NaN         1/2   \n",
       "245                                                NaN         1/2   \n",
       "295                                                NaN         1/1   \n",
       "366                                                NaN         1/2   \n",
       "383                                                NaN         1/1   \n",
       "416                                                NaN         1/1   \n",
       "452                                                NaN         1/2   \n",
       "498                                                NaN         1/1   \n",
       "520                                                NaN         1/1   \n",
       "578                                                NaN         1/1   \n",
       "610                                                NaN         1/1   \n",
       "620                                                NaN         1/1   \n",
       "640  \"for her non-violent struggle for democracy an...         1/1   \n",
       "682  \"for their efforts to diminish the part played...         1/2   \n",
       "705  \"for their work for the banning and clearing o...         1/2   \n",
       "728  \"in recognition of the organization's pioneeri...         1/1   \n",
       "754  \"for their work for a better organized and mor...         1/2   \n",
       "808  \"for their efforts to prevent nuclear energy f...         1/2   \n",
       "821  \"for their efforts to create economic and soci...         1/2   \n",
       "833  \"for their efforts to build up and disseminate...         1/2   \n",
       "909  \"for over six decades contributed to the advan...         1/1   \n",
       "927  \"for its extensive efforts to eliminate chemic...         1/1   \n",
       "955  \"for its decisive contribution to the building...         1/1   \n",
       "\n",
       "     Laureate ID Laureate Type  \\\n",
       "24           467  Organization   \n",
       "61           477  Organization   \n",
       "90           482  Organization   \n",
       "206          503  Organization   \n",
       "244          508  Organization   \n",
       "245          509  Organization   \n",
       "295          515  Organization   \n",
       "366          523  Organization   \n",
       "383          525  Organization   \n",
       "416          527  Organization   \n",
       "452          531  Organization   \n",
       "498          537  Organization   \n",
       "520          540  Organization   \n",
       "578          547  Organization   \n",
       "610          550  Organization   \n",
       "620          551  Organization   \n",
       "640          553  Organization   \n",
       "682          561  Organization   \n",
       "705          564  Organization   \n",
       "728          568  Organization   \n",
       "754          748  Organization   \n",
       "808          797  Organization   \n",
       "821          810  Organization   \n",
       "833          818  Organization   \n",
       "909          881  Organization   \n",
       "927          893  Organization   \n",
       "955          925  Organization   \n",
       "\n",
       "                                             Full Name  Birth Date  \\\n",
       "24   Institut de droit international (Institute of ...         NaN   \n",
       "61   Bureau international permanent de la Paix (Per...         NaN   \n",
       "90   Comité international de la Croix Rouge (Intern...         NaN   \n",
       "206  Office international Nansen pour les Réfugiés ...         NaN   \n",
       "244              Friends Service Council (The Quakers)         NaN   \n",
       "245   American Friends Service Committee (The Quakers)         NaN   \n",
       "295  Office of the United Nations High Commissioner...         NaN   \n",
       "366  Ligue des Sociétés de la Croix-Rouge (League o...         NaN   \n",
       "383            United Nations Children's Fund (UNICEF)         NaN   \n",
       "416         International Labour Organization (I.L.O.)         NaN   \n",
       "452                                         Le Duc Tho  1911-10-14   \n",
       "498                              Amnesty International         NaN   \n",
       "520                                      Mother Teresa  1910-08-26   \n",
       "578  International Physicians for the Prevention of...         NaN   \n",
       "610                 United Nations Peacekeeping Forces         NaN   \n",
       "620                The 14th Dalai Lama (Tenzin Gyatso)  1935-07-06   \n",
       "640                                   Aung San Suu Kyi  1945-06-19   \n",
       "682   Pugwash Conferences on Science and World Affairs         NaN   \n",
       "705     International Campaign to Ban Landmines (ICBL)         NaN   \n",
       "728                           Médecins Sans Frontières         NaN   \n",
       "754                              United Nations (U.N.)         NaN   \n",
       "808          International Atomic Energy Agency (IAEA)         NaN   \n",
       "821                                       Grameen Bank         NaN   \n",
       "833   Intergovernmental Panel on Climate Change (IPCC)         NaN   \n",
       "909                                European Union (EU)         NaN   \n",
       "927  Organisation for the Prohibition of Chemical W...         NaN   \n",
       "955                          National Dialogue Quartet         NaN   \n",
       "\n",
       "           Birth City                           Birth Country     Sex  \\\n",
       "24                NaN                                     NaN     NaN   \n",
       "61                NaN                                     NaN     NaN   \n",
       "90                NaN                                     NaN     NaN   \n",
       "206               NaN                                     NaN     NaN   \n",
       "244               NaN                                     NaN     NaN   \n",
       "245               NaN                                     NaN     NaN   \n",
       "295               NaN                                     NaN     NaN   \n",
       "366               NaN                                     NaN     NaN   \n",
       "383               NaN                                     NaN     NaN   \n",
       "416               NaN                                     NaN     NaN   \n",
       "452   Nam Ha province                                 Vietnam    Male   \n",
       "498               NaN                                     NaN     NaN   \n",
       "520    Uskup (Skopje)  Ottoman Empire (Republic of Macedonia)  Female   \n",
       "578               NaN                                     NaN     NaN   \n",
       "610               NaN                                     NaN     NaN   \n",
       "620           Taktser      Tibet (People's Republic of China)    Male   \n",
       "640  Rangoon (Yangon)                         Burma (Myanmar)  Female   \n",
       "682               NaN                                     NaN     NaN   \n",
       "705               NaN                                     NaN     NaN   \n",
       "728               NaN                                     NaN     NaN   \n",
       "754               NaN                                     NaN     NaN   \n",
       "808               NaN                                     NaN     NaN   \n",
       "821               NaN                                     NaN     NaN   \n",
       "833               NaN                                     NaN     NaN   \n",
       "909               NaN                                     NaN     NaN   \n",
       "927               NaN                                     NaN     NaN   \n",
       "955               NaN                                     NaN     NaN   \n",
       "\n",
       "    Organization Name Organization City Organization Country  Death Date  \\\n",
       "24                NaN               NaN                  NaN         NaN   \n",
       "61                NaN               NaN                  NaN         NaN   \n",
       "90                NaN               NaN                  NaN         NaN   \n",
       "206               NaN               NaN                  NaN         NaN   \n",
       "244               NaN               NaN                  NaN         NaN   \n",
       "245               NaN               NaN                  NaN         NaN   \n",
       "295               NaN               NaN                  NaN         NaN   \n",
       "366               NaN               NaN                  NaN         NaN   \n",
       "383               NaN               NaN                  NaN         NaN   \n",
       "416               NaN               NaN                  NaN         NaN   \n",
       "452               NaN               NaN                  NaN  1990-10-13   \n",
       "498               NaN               NaN                  NaN         NaN   \n",
       "520               NaN               NaN                  NaN  1997-09-05   \n",
       "578               NaN               NaN                  NaN         NaN   \n",
       "610               NaN               NaN                  NaN         NaN   \n",
       "620               NaN               NaN                  NaN         NaN   \n",
       "640               NaN               NaN                  NaN         NaN   \n",
       "682               NaN               NaN                  NaN         NaN   \n",
       "705               NaN               NaN                  NaN         NaN   \n",
       "728               NaN               NaN                  NaN         NaN   \n",
       "754               NaN               NaN                  NaN         NaN   \n",
       "808               NaN               NaN                  NaN         NaN   \n",
       "821               NaN               NaN                  NaN         NaN   \n",
       "833               NaN               NaN                  NaN         NaN   \n",
       "909               NaN               NaN                  NaN         NaN   \n",
       "927               NaN               NaN                  NaN         NaN   \n",
       "955               NaN               NaN                  NaN         NaN   \n",
       "\n",
       "    Death City Death Country  \n",
       "24         NaN           NaN  \n",
       "61         NaN           NaN  \n",
       "90         NaN           NaN  \n",
       "206        NaN           NaN  \n",
       "244        NaN           NaN  \n",
       "245        NaN           NaN  \n",
       "295        NaN           NaN  \n",
       "366        NaN           NaN  \n",
       "383        NaN           NaN  \n",
       "416        NaN           NaN  \n",
       "452      Hanoi       Vietnam  \n",
       "498        NaN           NaN  \n",
       "520   Calcutta         India  \n",
       "578        NaN           NaN  \n",
       "610        NaN           NaN  \n",
       "620        NaN           NaN  \n",
       "640        NaN           NaN  \n",
       "682        NaN           NaN  \n",
       "705        NaN           NaN  \n",
       "728        NaN           NaN  \n",
       "754        NaN           NaN  \n",
       "808        NaN           NaN  \n",
       "821        NaN           NaN  \n",
       "833        NaN           NaN  \n",
       "909        NaN           NaN  \n",
       "927        NaN           NaN  \n",
       "955        NaN           NaN  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get only records of type organization\n",
    "org = nobel_no_dup.loc[nobel_no_dup['Laureate Type'] == \"Organization\"]\n",
    "org"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We note that all the organization records have NaN values for the demographic columns, except for some records such as Mother Teresa who have demographic data and were mistakenly recorded as organizations. We will identify these values and correct them. And we also decide not to impute the missing demographic values for the organization records, since it makes sense that this data is Nan, and more importantly since we don't need it in answering any of our target analysis questions indicated at the top of the notebook."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(904, 18)"
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#identify records who are labeled as organization but have a birth date which is not nan\n",
    "isOrg = nobel_no_dup['Laureate Type'] == \"Organization\"\n",
    "isBD = pd.notna(nobel_no_dup['Birth Date'])\n",
    "mask = isOrg & isBD\n",
    "\n",
    "#change the laureate type of these records to be individual\n",
    "#run twice to suppress the warning\n",
    "#nobel_no_dup.loc[ mask, 'Laureate Type'] = \"Individual\"\n",
    "\n",
    "df = nobel_no_dup.loc[mask].copy()\n",
    "df['Laureate Type'] = \"Individual\"\n",
    "nobel1 = nobel_no_dup.drop(nobel_no_dup.loc[ mask].index, axis=0)\n",
    "nobel1 = pd.concat([nobel1, df], axis=0)\n",
    "nobel1.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we check records which are labeled organization, and expect all of them to be actual organizations."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "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>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>24</th>\n",
       "      <td>1904</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>467</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Institut de droit international (Institute of ...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>1910</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>477</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Bureau international permanent de la Paix (Per...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1917</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1917</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>482</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Comité international de la Croix Rouge (Intern...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>1938</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1938</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>503</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Office international Nansen pour les Réfugiés ...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>1947</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>508</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Friends Service Council (The Quakers)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>1947</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>509</td>\n",
       "      <td>Organization</td>\n",
       "      <td>American Friends Service Committee (The Quakers)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>1954</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1954</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>515</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Office of the United Nations High Commissioner...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>1963</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1963</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>523</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Ligue des Sociétés de la Croix-Rouge (League o...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>1965</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1965</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>525</td>\n",
       "      <td>Organization</td>\n",
       "      <td>United Nations Children's Fund (UNICEF)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>1969</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1969</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>527</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Labour Organization (I.L.O.)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>1977</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>537</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Amnesty International</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>1985</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>547</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Physicians for the Prevention of...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>1988</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1988</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>550</td>\n",
       "      <td>Organization</td>\n",
       "      <td>United Nations Peacekeeping Forces</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1995</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1995</td>\n",
       "      <td>\"for their efforts to diminish the part played...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>561</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Pugwash Conferences on Science and World Affairs</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>1997</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1997</td>\n",
       "      <td>\"for their work for the banning and clearing o...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>564</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Campaign to Ban Landmines (ICBL)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>1999</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1999</td>\n",
       "      <td>\"in recognition of the organization's pioneeri...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>568</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Médecins Sans Frontières</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>2001</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2001</td>\n",
       "      <td>\"for their work for a better organized and mor...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>748</td>\n",
       "      <td>Organization</td>\n",
       "      <td>United Nations (U.N.)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>2005</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2005</td>\n",
       "      <td>\"for their efforts to prevent nuclear energy f...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>797</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Atomic Energy Agency (IAEA)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>821</th>\n",
       "      <td>2006</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2006</td>\n",
       "      <td>\"for their efforts to create economic and soci...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>810</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Grameen Bank</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>2007</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2007</td>\n",
       "      <td>\"for their efforts to build up and disseminate...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>818</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Intergovernmental Panel on Climate Change (IPCC)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>909</th>\n",
       "      <td>2012</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2012</td>\n",
       "      <td>\"for over six decades contributed to the advan...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>881</td>\n",
       "      <td>Organization</td>\n",
       "      <td>European Union (EU)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>2013</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2013</td>\n",
       "      <td>\"for its extensive efforts to eliminate chemic...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>893</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Organisation for the Prohibition of Chemical W...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>2015</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2015</td>\n",
       "      <td>\"for its decisive contribution to the building...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>925</td>\n",
       "      <td>Organization</td>\n",
       "      <td>National Dialogue Quartet</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year Category                       Prize  \\\n",
       "24   1904    Peace  The Nobel Peace Prize 1904   \n",
       "61   1910    Peace  The Nobel Peace Prize 1910   \n",
       "90   1917    Peace  The Nobel Peace Prize 1917   \n",
       "206  1938    Peace  The Nobel Peace Prize 1938   \n",
       "244  1947    Peace  The Nobel Peace Prize 1947   \n",
       "245  1947    Peace  The Nobel Peace Prize 1947   \n",
       "295  1954    Peace  The Nobel Peace Prize 1954   \n",
       "366  1963    Peace  The Nobel Peace Prize 1963   \n",
       "383  1965    Peace  The Nobel Peace Prize 1965   \n",
       "416  1969    Peace  The Nobel Peace Prize 1969   \n",
       "498  1977    Peace  The Nobel Peace Prize 1977   \n",
       "578  1985    Peace  The Nobel Peace Prize 1985   \n",
       "610  1988    Peace  The Nobel Peace Prize 1988   \n",
       "682  1995    Peace  The Nobel Peace Prize 1995   \n",
       "705  1997    Peace  The Nobel Peace Prize 1997   \n",
       "728  1999    Peace  The Nobel Peace Prize 1999   \n",
       "754  2001    Peace  The Nobel Peace Prize 2001   \n",
       "808  2005    Peace  The Nobel Peace Prize 2005   \n",
       "821  2006    Peace  The Nobel Peace Prize 2006   \n",
       "833  2007    Peace  The Nobel Peace Prize 2007   \n",
       "909  2012    Peace  The Nobel Peace Prize 2012   \n",
       "927  2013    Peace  The Nobel Peace Prize 2013   \n",
       "955  2015    Peace  The Nobel Peace Prize 2015   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "24                                                 NaN         1/1   \n",
       "61                                                 NaN         1/1   \n",
       "90                                                 NaN         1/1   \n",
       "206                                                NaN         1/1   \n",
       "244                                                NaN         1/2   \n",
       "245                                                NaN         1/2   \n",
       "295                                                NaN         1/1   \n",
       "366                                                NaN         1/2   \n",
       "383                                                NaN         1/1   \n",
       "416                                                NaN         1/1   \n",
       "498                                                NaN         1/1   \n",
       "578                                                NaN         1/1   \n",
       "610                                                NaN         1/1   \n",
       "682  \"for their efforts to diminish the part played...         1/2   \n",
       "705  \"for their work for the banning and clearing o...         1/2   \n",
       "728  \"in recognition of the organization's pioneeri...         1/1   \n",
       "754  \"for their work for a better organized and mor...         1/2   \n",
       "808  \"for their efforts to prevent nuclear energy f...         1/2   \n",
       "821  \"for their efforts to create economic and soci...         1/2   \n",
       "833  \"for their efforts to build up and disseminate...         1/2   \n",
       "909  \"for over six decades contributed to the advan...         1/1   \n",
       "927  \"for its extensive efforts to eliminate chemic...         1/1   \n",
       "955  \"for its decisive contribution to the building...         1/1   \n",
       "\n",
       "     Laureate ID Laureate Type  \\\n",
       "24           467  Organization   \n",
       "61           477  Organization   \n",
       "90           482  Organization   \n",
       "206          503  Organization   \n",
       "244          508  Organization   \n",
       "245          509  Organization   \n",
       "295          515  Organization   \n",
       "366          523  Organization   \n",
       "383          525  Organization   \n",
       "416          527  Organization   \n",
       "498          537  Organization   \n",
       "578          547  Organization   \n",
       "610          550  Organization   \n",
       "682          561  Organization   \n",
       "705          564  Organization   \n",
       "728          568  Organization   \n",
       "754          748  Organization   \n",
       "808          797  Organization   \n",
       "821          810  Organization   \n",
       "833          818  Organization   \n",
       "909          881  Organization   \n",
       "927          893  Organization   \n",
       "955          925  Organization   \n",
       "\n",
       "                                             Full Name Birth Date Birth City  \\\n",
       "24   Institut de droit international (Institute of ...        NaN        NaN   \n",
       "61   Bureau international permanent de la Paix (Per...        NaN        NaN   \n",
       "90   Comité international de la Croix Rouge (Intern...        NaN        NaN   \n",
       "206  Office international Nansen pour les Réfugiés ...        NaN        NaN   \n",
       "244              Friends Service Council (The Quakers)        NaN        NaN   \n",
       "245   American Friends Service Committee (The Quakers)        NaN        NaN   \n",
       "295  Office of the United Nations High Commissioner...        NaN        NaN   \n",
       "366  Ligue des Sociétés de la Croix-Rouge (League o...        NaN        NaN   \n",
       "383            United Nations Children's Fund (UNICEF)        NaN        NaN   \n",
       "416         International Labour Organization (I.L.O.)        NaN        NaN   \n",
       "498                              Amnesty International        NaN        NaN   \n",
       "578  International Physicians for the Prevention of...        NaN        NaN   \n",
       "610                 United Nations Peacekeeping Forces        NaN        NaN   \n",
       "682   Pugwash Conferences on Science and World Affairs        NaN        NaN   \n",
       "705     International Campaign to Ban Landmines (ICBL)        NaN        NaN   \n",
       "728                           Médecins Sans Frontières        NaN        NaN   \n",
       "754                              United Nations (U.N.)        NaN        NaN   \n",
       "808          International Atomic Energy Agency (IAEA)        NaN        NaN   \n",
       "821                                       Grameen Bank        NaN        NaN   \n",
       "833   Intergovernmental Panel on Climate Change (IPCC)        NaN        NaN   \n",
       "909                                European Union (EU)        NaN        NaN   \n",
       "927  Organisation for the Prohibition of Chemical W...        NaN        NaN   \n",
       "955                          National Dialogue Quartet        NaN        NaN   \n",
       "\n",
       "    Birth Country  Sex Organization Name Organization City  \\\n",
       "24            NaN  NaN               NaN               NaN   \n",
       "61            NaN  NaN               NaN               NaN   \n",
       "90            NaN  NaN               NaN               NaN   \n",
       "206           NaN  NaN               NaN               NaN   \n",
       "244           NaN  NaN               NaN               NaN   \n",
       "245           NaN  NaN               NaN               NaN   \n",
       "295           NaN  NaN               NaN               NaN   \n",
       "366           NaN  NaN               NaN               NaN   \n",
       "383           NaN  NaN               NaN               NaN   \n",
       "416           NaN  NaN               NaN               NaN   \n",
       "498           NaN  NaN               NaN               NaN   \n",
       "578           NaN  NaN               NaN               NaN   \n",
       "610           NaN  NaN               NaN               NaN   \n",
       "682           NaN  NaN               NaN               NaN   \n",
       "705           NaN  NaN               NaN               NaN   \n",
       "728           NaN  NaN               NaN               NaN   \n",
       "754           NaN  NaN               NaN               NaN   \n",
       "808           NaN  NaN               NaN               NaN   \n",
       "821           NaN  NaN               NaN               NaN   \n",
       "833           NaN  NaN               NaN               NaN   \n",
       "909           NaN  NaN               NaN               NaN   \n",
       "927           NaN  NaN               NaN               NaN   \n",
       "955           NaN  NaN               NaN               NaN   \n",
       "\n",
       "    Organization Country Death Date Death City Death Country  \n",
       "24                   NaN        NaN        NaN           NaN  \n",
       "61                   NaN        NaN        NaN           NaN  \n",
       "90                   NaN        NaN        NaN           NaN  \n",
       "206                  NaN        NaN        NaN           NaN  \n",
       "244                  NaN        NaN        NaN           NaN  \n",
       "245                  NaN        NaN        NaN           NaN  \n",
       "295                  NaN        NaN        NaN           NaN  \n",
       "366                  NaN        NaN        NaN           NaN  \n",
       "383                  NaN        NaN        NaN           NaN  \n",
       "416                  NaN        NaN        NaN           NaN  \n",
       "498                  NaN        NaN        NaN           NaN  \n",
       "578                  NaN        NaN        NaN           NaN  \n",
       "610                  NaN        NaN        NaN           NaN  \n",
       "682                  NaN        NaN        NaN           NaN  \n",
       "705                  NaN        NaN        NaN           NaN  \n",
       "728                  NaN        NaN        NaN           NaN  \n",
       "754                  NaN        NaN        NaN           NaN  \n",
       "808                  NaN        NaN        NaN           NaN  \n",
       "821                  NaN        NaN        NaN           NaN  \n",
       "833                  NaN        NaN        NaN           NaN  \n",
       "909                  NaN        NaN        NaN           NaN  \n",
       "927                  NaN        NaN        NaN           NaN  \n",
       "955                  NaN        NaN        NaN           NaN  "
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get only records of type organization\n",
    "org = nobel1.loc[nobel1['Laureate Type'] == \"Organization\"]\n",
    "org"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also check records which are labeled as organization but have a birth date, and expect that none exist anymore."
   ]
  },
  {
   "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>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",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Year, Category, Prize, Motivation, Prize Share, Laureate ID, Laureate Type, Full Name, Birth Date, Birth City, Birth Country, Sex, Organization Name, Organization City, Organization Country, Death Date, Death City, Death Country]\n",
       "Index: []"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "isOrg = nobel1['Laureate Type'] == \"Organization\"\n",
    "isBD = pd.notna(nobel1['Birth Date'])\n",
    "mask = isOrg & isBD\n",
    "nobel1.loc[isOrg & isBD]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now all is good concerning the organizations. Now we want to analyze the individuals and their missing values. First, we group only the individual records, then display the count of missing values in each column."
   ]
  },
  {
   "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>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>426</th>\n",
       "      <td>1970</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1970</td>\n",
       "      <td>\"for fundamental work and discoveries concerni...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>92</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Louis Eugène Félix Néel</td>\n",
       "      <td>1904-11-22</td>\n",
       "      <td>Lyon</td>\n",
       "      <td>France</td>\n",
       "      <td>Male</td>\n",
       "      <td>University of Grenoble</td>\n",
       "      <td>Grenoble</td>\n",
       "      <td>France</td>\n",
       "      <td>2000-11-17</td>\n",
       "      <td>Brive-Corrèze</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>952</th>\n",
       "      <td>2015</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 2015</td>\n",
       "      <td>\"for their discoveries concerning a novel ther...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>916</td>\n",
       "      <td>Individual</td>\n",
       "      <td>William C. Campbell</td>\n",
       "      <td>1930-06-28</td>\n",
       "      <td>Ramelton</td>\n",
       "      <td>Ireland</td>\n",
       "      <td>Male</td>\n",
       "      <td>Drew University</td>\n",
       "      <td>Madison, NJ</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>166</th>\n",
       "      <td>1932</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1932</td>\n",
       "      <td>\"for his distinguished art of narration which ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>605</td>\n",
       "      <td>Individual</td>\n",
       "      <td>John Galsworthy</td>\n",
       "      <td>1867-08-14</td>\n",
       "      <td>Kingston Hill</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1933-01-31</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1905</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1905</td>\n",
       "      <td>\"in recognition of his services in the advance...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>164</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Johann Friedrich Wilhelm Adolf von Baeyer</td>\n",
       "      <td>1835-10-31</td>\n",
       "      <td>Berlin</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>1917-08-20</td>\n",
       "      <td>Starnberg</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>369</th>\n",
       "      <td>1963</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1963</td>\n",
       "      <td>\"for their discoveries concerning nuclear shel...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>80</td>\n",
       "      <td>Individual</td>\n",
       "      <td>J. Hans D. Jensen</td>\n",
       "      <td>1907-06-25</td>\n",
       "      <td>Hamburg</td>\n",
       "      <td>Germany</td>\n",
       "      <td>Male</td>\n",
       "      <td>University of Heidelberg</td>\n",
       "      <td>Heidelberg</td>\n",
       "      <td>Federal Republic of Germany</td>\n",
       "      <td>1973-02-11</td>\n",
       "      <td>Heidelberg</td>\n",
       "      <td>West Germany (Germany)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>652</th>\n",
       "      <td>1993</td>\n",
       "      <td>Economics</td>\n",
       "      <td>The Sveriges Riksbank Prize in Economic Scienc...</td>\n",
       "      <td>\"for having renewed research in economic histo...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>709</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Robert W. Fogel</td>\n",
       "      <td>1927-07-01</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Male</td>\n",
       "      <td>University of Chicago</td>\n",
       "      <td>Chicago, IL</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>2013-06-11</td>\n",
       "      <td>Oak Lawn, IL</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>200</th>\n",
       "      <td>1937</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1937</td>\n",
       "      <td>\"for their experimental discovery of the diffr...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>44</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Clinton Joseph Davisson</td>\n",
       "      <td>1881-10-22</td>\n",
       "      <td>Bloomington, IL</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Male</td>\n",
       "      <td>Bell Telephone Laboratories</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1958-02-01</td>\n",
       "      <td>Charlottesville, VA</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>429</th>\n",
       "      <td>1971</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1971</td>\n",
       "      <td>\"for a poetry that with the action of an eleme...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>645</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Pablo Neruda</td>\n",
       "      <td>1904-07-12</td>\n",
       "      <td>Parral</td>\n",
       "      <td>Chile</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1973-09-23</td>\n",
       "      <td>Santiago</td>\n",
       "      <td>Chile</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>336</th>\n",
       "      <td>1959</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1959</td>\n",
       "      <td>\"for their discovery of the antiproton\"</td>\n",
       "      <td>1/2</td>\n",
       "      <td>72</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Emilio Gino Segrè</td>\n",
       "      <td>1905-02-01</td>\n",
       "      <td>Tivoli</td>\n",
       "      <td>Italy</td>\n",
       "      <td>Male</td>\n",
       "      <td>University of California</td>\n",
       "      <td>Berkeley, CA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1989-04-22</td>\n",
       "      <td>Lafayette, CA</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178</th>\n",
       "      <td>1934</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1934</td>\n",
       "      <td>\"for their discoveries concerning liver therap...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>327</td>\n",
       "      <td>Individual</td>\n",
       "      <td>George Richards Minot</td>\n",
       "      <td>1885-12-02</td>\n",
       "      <td>Boston, MA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Male</td>\n",
       "      <td>Harvard University</td>\n",
       "      <td>Cambridge, MA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1950-02-25</td>\n",
       "      <td>Brookline, MA</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year    Category                                              Prize  \\\n",
       "426  1970     Physics                    The Nobel Prize in Physics 1970   \n",
       "952  2015    Medicine     The Nobel Prize in Physiology or Medicine 2015   \n",
       "166  1932  Literature                 The Nobel Prize in Literature 1932   \n",
       "26   1905   Chemistry                  The Nobel Prize in Chemistry 1905   \n",
       "369  1963     Physics                    The Nobel Prize in Physics 1963   \n",
       "652  1993   Economics  The Sveriges Riksbank Prize in Economic Scienc...   \n",
       "200  1937     Physics                    The Nobel Prize in Physics 1937   \n",
       "429  1971  Literature                 The Nobel Prize in Literature 1971   \n",
       "336  1959     Physics                    The Nobel Prize in Physics 1959   \n",
       "178  1934    Medicine     The Nobel Prize in Physiology or Medicine 1934   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "426  \"for fundamental work and discoveries concerni...         1/2   \n",
       "952  \"for their discoveries concerning a novel ther...         1/4   \n",
       "166  \"for his distinguished art of narration which ...         1/1   \n",
       "26   \"in recognition of his services in the advance...         1/1   \n",
       "369  \"for their discoveries concerning nuclear shel...         1/4   \n",
       "652  \"for having renewed research in economic histo...         1/2   \n",
       "200  \"for their experimental discovery of the diffr...         1/2   \n",
       "429  \"for a poetry that with the action of an eleme...         1/1   \n",
       "336            \"for their discovery of the antiproton\"         1/2   \n",
       "178  \"for their discoveries concerning liver therap...         1/3   \n",
       "\n",
       "     Laureate ID Laureate Type                                  Full Name  \\\n",
       "426           92    Individual                    Louis Eugène Félix Néel   \n",
       "952          916    Individual                        William C. Campbell   \n",
       "166          605    Individual                            John Galsworthy   \n",
       "26           164    Individual  Johann Friedrich Wilhelm Adolf von Baeyer   \n",
       "369           80    Individual                          J. Hans D. Jensen   \n",
       "652          709    Individual                            Robert W. Fogel   \n",
       "200           44    Individual                    Clinton Joseph Davisson   \n",
       "429          645    Individual                               Pablo Neruda   \n",
       "336           72    Individual                          Emilio Gino Segrè   \n",
       "178          327    Individual                      George Richards Minot   \n",
       "\n",
       "     Birth Date       Birth City             Birth Country   Sex  \\\n",
       "426  1904-11-22             Lyon                    France  Male   \n",
       "952  1930-06-28         Ramelton                   Ireland  Male   \n",
       "166  1867-08-14    Kingston Hill            United Kingdom  Male   \n",
       "26   1835-10-31           Berlin         Prussia (Germany)  Male   \n",
       "369  1907-06-25          Hamburg                   Germany  Male   \n",
       "652  1927-07-01     New York, NY  United States of America  Male   \n",
       "200  1881-10-22  Bloomington, IL  United States of America  Male   \n",
       "429  1904-07-12           Parral                     Chile  Male   \n",
       "336  1905-02-01           Tivoli                     Italy  Male   \n",
       "178  1885-12-02       Boston, MA  United States of America  Male   \n",
       "\n",
       "               Organization Name Organization City  \\\n",
       "426       University of Grenoble          Grenoble   \n",
       "952              Drew University       Madison, NJ   \n",
       "166                          NaN               NaN   \n",
       "26             Munich University            Munich   \n",
       "369     University of Heidelberg        Heidelberg   \n",
       "652        University of Chicago       Chicago, IL   \n",
       "200  Bell Telephone Laboratories      New York, NY   \n",
       "429                          NaN               NaN   \n",
       "336     University of California      Berkeley, CA   \n",
       "178           Harvard University     Cambridge, MA   \n",
       "\n",
       "            Organization Country  Death Date           Death City  \\\n",
       "426                       France  2000-11-17        Brive-Corrèze   \n",
       "952     United States of America         NaN                  NaN   \n",
       "166                          NaN  1933-01-31               London   \n",
       "26                       Germany  1917-08-20            Starnberg   \n",
       "369  Federal Republic of Germany  1973-02-11           Heidelberg   \n",
       "652     United States of America  2013-06-11         Oak Lawn, IL   \n",
       "200     United States of America  1958-02-01  Charlottesville, VA   \n",
       "429                          NaN  1973-09-23             Santiago   \n",
       "336     United States of America  1989-04-22        Lafayette, CA   \n",
       "178     United States of America  1950-02-25        Brookline, MA   \n",
       "\n",
       "                Death Country  \n",
       "426                    France  \n",
       "952                       NaN  \n",
       "166            United Kingdom  \n",
       "26                    Germany  \n",
       "369    West Germany (Germany)  \n",
       "652  United States of America  \n",
       "200  United States of America  \n",
       "429                     Chile  \n",
       "336  United States of America  \n",
       "178  United States of America  "
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get only records of type individual\n",
    "ind = nobel1.loc[nobel1['Laureate Type'] == \"Individual\"]\n",
    "ind.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year                      0\n",
       "Category                  0\n",
       "Prize                     0\n",
       "Motivation               71\n",
       "Prize Share               0\n",
       "Laureate ID               0\n",
       "Laureate Type             0\n",
       "Full Name                 0\n",
       "Birth Date                2\n",
       "Birth City                2\n",
       "Birth Country             0\n",
       "Sex                       0\n",
       "Organization Name       220\n",
       "Organization City       218\n",
       "Organization Country    218\n",
       "Death Date              292\n",
       "Death City              309\n",
       "Death Country           303\n",
       "dtype: int64"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get missing values count in individual records\n",
    "ind_missing_values = ind.isnull().sum()\n",
    "ind_missing_values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we observe very interesting patterns in our data. We note that the birth date and the birth country have only two missing values which we can identify and fill manually.  \n",
    "We also note that we have large number of missing values for the organization name, organization city and organization country. This is most probably due to some individuals not belonging to any organization like Naguib Mahfouz for example. We also note that there exists large number of missing values for death date, death city and death country. This is probably due to some people being still alive.    \n",
    "Since the death dates and the organizations don't matter much to our proposed question, we decide to keep them as NaNs since this is normal: if someone didn't die yet, his death date is not a missing value, the record can still be considered complete then. Later on, we will drop this column as it is irrelevant to our proposed analysis questions.      \n",
    "We focus however on identifying the 2 missing values for \"Birth Date\" and \"Birth City\", since they are important to our analysis."
   ]
  },
  {
   "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>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>750</th>\n",
       "      <td>2001</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 2001</td>\n",
       "      <td>\"for having united perceptive narrative and in...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>747</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Sir Vidiadhar Surajprasad Naipaul</td>\n",
       "      <td>1932-08-17</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Trinidad</td>\n",
       "      <td>Male</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>880</th>\n",
       "      <td>2010</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2010</td>\n",
       "      <td>\"for his long and non-violent struggle for fun...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>855</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Liu Xiaobo</td>\n",
       "      <td>1955-12-28</td>\n",
       "      <td>NaN</td>\n",
       "      <td>China</td>\n",
       "      <td>Male</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",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year    Category                               Prize  \\\n",
       "750  2001  Literature  The Nobel Prize in Literature 2001   \n",
       "880  2010       Peace          The Nobel Peace Prize 2010   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "750  \"for having united perceptive narrative and in...         1/1   \n",
       "880  \"for his long and non-violent struggle for fun...         1/1   \n",
       "\n",
       "     Laureate ID Laureate Type                          Full Name  Birth Date  \\\n",
       "750          747    Individual  Sir Vidiadhar Surajprasad Naipaul  1932-08-17   \n",
       "880          855    Individual                         Liu Xiaobo  1955-12-28   \n",
       "\n",
       "    Birth City Birth Country   Sex Organization Name Organization City  \\\n",
       "750        NaN      Trinidad  Male               NaN               NaN   \n",
       "880        NaN         China  Male               NaN               NaN   \n",
       "\n",
       "    Organization Country Death Date Death City Death Country  \n",
       "750                  NaN        NaN        NaN           NaN  \n",
       "880                  NaN        NaN        NaN           NaN  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get records who are individuals and their birth city is NaN\n",
    "isInd = nobel1['Laureate Type'] == \"Individual\"\n",
    "isCityNan = pd.isna(nobel1['Birth City'])\n",
    "\n",
    "nobel1.loc[isInd & isCityNan]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we identified the 2 records whose birth city is Nan, we fill them up manually. Using the internet we get that the birth city of Sir Vidiadhar Surajprasad Naipaul is Chaguanas, and the birth city of Liu Xiaobo is Changchun. We fill them out manually."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "nobel1.loc[nobel1['Full Name'] == \"Sir Vidiadhar Surajprasad Naipaul\", 'Birth City'] = \"Chaguanas\"\n",
    "nobel1.loc[nobel1['Full Name'] == \"Liu Xiaobo\", 'Birth City'] = \"Changchun\"\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {
    "scrolled": true
   },
   "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>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>853</th>\n",
       "      <td>2009</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 2009</td>\n",
       "      <td>\"for studies of the structure and function of ...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>841</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Venkatraman Ramakrishnan</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Chidambaram, Tamil Nadu</td>\n",
       "      <td>India</td>\n",
       "      <td>Male</td>\n",
       "      <td>MRC Laboratory of Molecular Biology</td>\n",
       "      <td>Cambridge</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>894</th>\n",
       "      <td>2011</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 2011</td>\n",
       "      <td>\"for the discovery of the accelerating expansi...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>864</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Saul Perlmutter</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Champaign-Urbana, IL</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>Male</td>\n",
       "      <td>Lawrence Berkeley National Laboratory</td>\n",
       "      <td>Berkeley, CA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year   Category                              Prize  \\\n",
       "853  2009  Chemistry  The Nobel Prize in Chemistry 2009   \n",
       "894  2011    Physics    The Nobel Prize in Physics 2011   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "853  \"for studies of the structure and function of ...         1/3   \n",
       "894  \"for the discovery of the accelerating expansi...         1/2   \n",
       "\n",
       "     Laureate ID Laureate Type                 Full Name Birth Date  \\\n",
       "853          841    Individual  Venkatraman Ramakrishnan        NaN   \n",
       "894          864    Individual           Saul Perlmutter        NaN   \n",
       "\n",
       "                  Birth City             Birth Country   Sex  \\\n",
       "853  Chidambaram, Tamil Nadu                     India  Male   \n",
       "894     Champaign-Urbana, IL  United States of America  Male   \n",
       "\n",
       "                         Organization Name Organization City  \\\n",
       "853    MRC Laboratory of Molecular Biology         Cambridge   \n",
       "894  Lawrence Berkeley National Laboratory      Berkeley, CA   \n",
       "\n",
       "         Organization Country Death Date Death City Death Country  \n",
       "853            United Kingdom        NaN        NaN           NaN  \n",
       "894  United States of America        NaN        NaN           NaN  "
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get records who are individuals and their birth date is NaN\n",
    "isInd = nobel1['Laureate Type'] == \"Individual\"\n",
    "isBDNan = pd.isna(nobel1['Birth Date'])\n",
    "\n",
    "nobel1.loc[isInd & isBDNan]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Also using the internet we get that the birth date of Venkatraman Ramakrishnan is 1 April 1952, and the birth date of Saul Perlmutter is 22 September 1959. We as well fill them manually. We first however inspect the type of the date column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "nobel1.loc[nobel1['Full Name'] == \"Venkatraman Ramakrishnan\", 'Birth Date'] = '1952-1-4'\n",
    "nobel1.loc[nobel1['Full Name'] == \"Saul Perlmutter\", 'Birth Date'] = '1959-22-9'\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we check the missing values in individuals. We expect not to have any missing values in birth date and birth city."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year                      0\n",
       "Category                  0\n",
       "Prize                     0\n",
       "Motivation               71\n",
       "Prize Share               0\n",
       "Laureate ID               0\n",
       "Laureate Type             0\n",
       "Full Name                 0\n",
       "Birth Date                0\n",
       "Birth City                0\n",
       "Birth Country             0\n",
       "Sex                       0\n",
       "Organization Name       220\n",
       "Organization City       218\n",
       "Organization Country    218\n",
       "Death Date              292\n",
       "Death City              309\n",
       "Death Country           303\n",
       "dtype: int64"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "ind = nobel1.loc[nobel1['Laureate Type'] == \"Individual\"]\n",
    "#get missing values count in individual records\n",
    "ind_missing_values = ind.isnull().sum()\n",
    "ind_missing_values"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As for the motivation column, we need it to get insights about who gets the nobel prize (see our analysis questions at the top of the notebook), we might get the most repeated words for this task or something similar. For this, we don't need all the values to be there and we also find it infeasible to manually fill them or to impute them with the most frequent value (since they are non numeric), therefore we keep this column as it is and later on see how we can benefit from it. "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now since our target questions requires some answers about the age of the individuals when they accquired the prize, we find it beneficial to add an age column using the birth date and the year of the prize. We first check the type of the date column, and try to extract the year from it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Year                     int64\n",
       "Category                object\n",
       "Prize                   object\n",
       "Motivation              object\n",
       "Prize Share             object\n",
       "Laureate ID              int64\n",
       "Laureate Type           object\n",
       "Full Name               object\n",
       "Birth Date              object\n",
       "Birth City              object\n",
       "Birth Country           object\n",
       "Sex                     object\n",
       "Organization Name       object\n",
       "Organization City       object\n",
       "Organization Country    object\n",
       "Death Date              object\n",
       "Death City              object\n",
       "Death Country           object\n",
       "dtype: object"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#check the data type of each column\n",
    "nobel1.dtypes"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We notice that the \"Birth Date\" column is of type string instead of type datetime, therefore we try to typecast it using pandas' to_datetime"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "#nobel1['Birth Date'] = pd.to_datetime(nobel1['Birth Date'])\n",
    "\n",
    "#when running the commented line above we get this error:\n",
    "#ValueError: month must be in 1..12\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The above error means that the dates are having inconsistent format. Since we are only interested in the year, we perform string manipulation in order to extract the year, then parse it into an integer. We will then subtract the prize date from the birth date to accquire the age column that we need."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "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>Birth Year</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [Birth Year]\n",
       "Index: []"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get organization records alone\n",
    "org = nobel1.loc[nobel1['Laureate Type'] == \"Organization\"]\n",
    "#get individual records alone\n",
    "ind = nobel1.loc[nobel1['Laureate Type'] == \"Individual\"]\n",
    "\n",
    "#split the date using \"-\" and store the result in 3 columns in a new dataframe df\n",
    "df = pd.DataFrame()\n",
    "df[ ['1','2','3'] ] = ind['Birth Date'].str.split(\"-\", expand=True)\n",
    "#the year is stored in the first column\n",
    "df['Birth Year'] = df['1']\n",
    "#drop 1,2,3 and keep year only\n",
    "df = df.drop(['1', '2', '3'], axis=1)\n",
    "\n",
    "#Now we make sure that the year is assigned correctly\n",
    "#we do this by trying to print all values of Birth Year whose length is not =4, this should be false\n",
    "df.loc[df['Birth Year'].str.len() != 4]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now that we extracted the year correctly, we proceed to modifying the ind dataframe and the org accordingly, and concatenate them."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "      <th></th>\n",
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       "      <th>Category</th>\n",
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       "      <th>Motivation</th>\n",
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       "      <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>Birth Year</th>\n",
       "      <th>Age</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>1852.0</td>\n",
       "      <td>49.0</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>1839.0</td>\n",
       "      <td>62.0</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>1854.0</td>\n",
       "      <td>47.0</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>1828.0</td>\n",
       "      <td>73.0</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>1822.0</td>\n",
       "      <td>79.0</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>1845.0</td>\n",
       "      <td>56.0</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",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1902</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1902</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>161</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Hermann Emil Fischer</td>\n",
       "      <td>1852-10-09</td>\n",
       "      <td>Euskirchen</td>\n",
       "      <td>Prussia (Germany)</td>\n",
       "      <td>1852.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Berlin University</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1919-07-15</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1902</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1902</td>\n",
       "      <td>\"the greatest living master of the art of hist...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>571</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Christian Matthias Theodor Mommsen</td>\n",
       "      <td>1817-11-30</td>\n",
       "      <td>Garding</td>\n",
       "      <td>Schleswig (Germany)</td>\n",
       "      <td>1817.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1903-11-01</td>\n",
       "      <td>Charlottenburg</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1902</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1902</td>\n",
       "      <td>\"for his work on malaria, by which he has show...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>294</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Ronald Ross</td>\n",
       "      <td>1857-05-13</td>\n",
       "      <td>Almora</td>\n",
       "      <td>India</td>\n",
       "      <td>1857.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>University College</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1932-09-16</td>\n",
       "      <td>Putney Heath</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1902</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>464</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Élie Ducommun</td>\n",
       "      <td>1833-02-19</td>\n",
       "      <td>Geneva</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>1833.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1906-12-07</td>\n",
       "      <td>Bern</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1902</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>465</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Charles Albert Gobat</td>\n",
       "      <td>1843-05-21</td>\n",
       "      <td>Tramelan</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>1843.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1914-03-16</td>\n",
       "      <td>Bern</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1902</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1902</td>\n",
       "      <td>\"in recognition of the extraordinary service t...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>2</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Hendrik Antoon Lorentz</td>\n",
       "      <td>1853-07-18</td>\n",
       "      <td>Arnhem</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1853.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Leiden University</td>\n",
       "      <td>Leiden</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1928-02-04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Netherlands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1902</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1902</td>\n",
       "      <td>\"in recognition of the extraordinary service t...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>3</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Pieter Zeeman</td>\n",
       "      <td>1865-05-25</td>\n",
       "      <td>Zonnemaire</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1865.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Amsterdam University</td>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1943-10-09</td>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>Netherlands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1903</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1903</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>162</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Svante August Arrhenius</td>\n",
       "      <td>1859-02-19</td>\n",
       "      <td>Vik</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>1859.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Stockholm University</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>1927-10-02</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>Sweden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1903</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1903</td>\n",
       "      <td>\"as a tribute to his noble, magnificent and ve...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>572</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Bjørnstjerne Martinus Bjørnson</td>\n",
       "      <td>1832-12-08</td>\n",
       "      <td>Kvikne</td>\n",
       "      <td>Norway</td>\n",
       "      <td>1832.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1910-04-26</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1903</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1903</td>\n",
       "      <td>\"in recognition of his contribution to the tre...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>295</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Niels Ryberg Finsen</td>\n",
       "      <td>1860-12-15</td>\n",
       "      <td>Thorshavn</td>\n",
       "      <td>Faroe Islands (Denmark)</td>\n",
       "      <td>1860.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Finsen Medical Light Institute</td>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>1904-09-24</td>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>Denmark</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1903</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1903</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>466</td>\n",
       "      <td>Individual</td>\n",
       "      <td>William Randal Cremer</td>\n",
       "      <td>1828-03-18</td>\n",
       "      <td>Fareham</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1828.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1908-07-22</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1903</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1903</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>4</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Antoine Henri Becquerel</td>\n",
       "      <td>1852-12-15</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>1852.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>École Polytechnique</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>1908-08-25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1903</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1903</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>5</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Pierre Curie</td>\n",
       "      <td>1859-05-15</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>1859.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>École municipale de physique et de chimie indu...</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>1906-04-19</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1903</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1903</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>6</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Marie Curie, née Sklodowska</td>\n",
       "      <td>1867-11-07</td>\n",
       "      <td>Warsaw</td>\n",
       "      <td>Russian Empire (Poland)</td>\n",
       "      <td>1867.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1934-07-04</td>\n",
       "      <td>Sallanches</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1904</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1904</td>\n",
       "      <td>\"in recognition of his services in the discove...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>163</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Sir William Ramsay</td>\n",
       "      <td>1852-10-02</td>\n",
       "      <td>Glasgow</td>\n",
       "      <td>Scotland</td>\n",
       "      <td>1852.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>University College</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1916-07-23</td>\n",
       "      <td>High Wycombe</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1904</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1904</td>\n",
       "      <td>\"in recognition of the fresh originality and t...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>573</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Frédéric Mistral</td>\n",
       "      <td>1830-09-08</td>\n",
       "      <td>Maillane</td>\n",
       "      <td>France</td>\n",
       "      <td>1830.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1914-03-25</td>\n",
       "      <td>Maillane</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1904</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1904</td>\n",
       "      <td>\"in recognition of the numerous and brilliant ...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>574</td>\n",
       "      <td>Individual</td>\n",
       "      <td>José Echegaray y Eizaguirre</td>\n",
       "      <td>1832-04-19</td>\n",
       "      <td>Madrid</td>\n",
       "      <td>Spain</td>\n",
       "      <td>1832.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1916-09-04</td>\n",
       "      <td>Madrid</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1904</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1904</td>\n",
       "      <td>\"in recognition of his work on the physiology ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>296</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Ivan Petrovich Pavlov</td>\n",
       "      <td>1849-09-14</td>\n",
       "      <td>Ryazan</td>\n",
       "      <td>Russia</td>\n",
       "      <td>1849.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Military Medical Academy</td>\n",
       "      <td>St. Petersburg</td>\n",
       "      <td>Russia</td>\n",
       "      <td>1936-02-27</td>\n",
       "      <td>Leningrad</td>\n",
       "      <td>Russia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1904</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1904</td>\n",
       "      <td>\"for his investigations of the densities of th...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>8</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Lord Rayleigh (John William Strutt)</td>\n",
       "      <td>1842-11-12</td>\n",
       "      <td>Langford Grove, Maldon, Essex</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1842.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Royal Institution of Great Britain</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1919-06-30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1905</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1905</td>\n",
       "      <td>\"in recognition of his services in the advance...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>164</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Johann Friedrich Wilhelm Adolf von Baeyer</td>\n",
       "      <td>1835-10-31</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Prussia (Germany)</td>\n",
       "      <td>1835.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Munich University</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1917-08-20</td>\n",
       "      <td>Starnberg</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1905</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1905</td>\n",
       "      <td>\"because of his outstanding merits as an epic ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>575</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Henryk Sienkiewicz</td>\n",
       "      <td>1846-05-05</td>\n",
       "      <td>Wola Okrzejska</td>\n",
       "      <td>Poland</td>\n",
       "      <td>1846.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1916-11-15</td>\n",
       "      <td>Vevey</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1905</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1905</td>\n",
       "      <td>\"for his investigations and discoveries in rel...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>297</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Robert Koch</td>\n",
       "      <td>1843-12-11</td>\n",
       "      <td>Clausthal (Clausthal-Zellerfeld)</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1843.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Institute for Infectious Diseases</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1910-05-27</td>\n",
       "      <td>Baden-Baden</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1905</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>468</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Baroness Bertha Sophie Felicita von Suttner, n...</td>\n",
       "      <td>1843-06-09</td>\n",
       "      <td>Prague</td>\n",
       "      <td>Austrian Empire (Czech Republic)</td>\n",
       "      <td>1843.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1914-06-21</td>\n",
       "      <td>Vienna</td>\n",
       "      <td>Austria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1905</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1905</td>\n",
       "      <td>\"for his work on cathode rays\"</td>\n",
       "      <td>1/1</td>\n",
       "      <td>9</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Philipp Eduard Anton von Lenard</td>\n",
       "      <td>1862-06-07</td>\n",
       "      <td>Pressburg (Bratislava)</td>\n",
       "      <td>Hungary (Slovakia)</td>\n",
       "      <td>1862.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Kiel University</td>\n",
       "      <td>Kiel</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1947-05-20</td>\n",
       "      <td>Messelhausen</td>\n",
       "      <td>Germany</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>966</th>\n",
       "      <td>2016</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 2016</td>\n",
       "      <td>\"for theoretical discoveries of topological ph...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>928</td>\n",
       "      <td>Individual</td>\n",
       "      <td>David J. Thouless</td>\n",
       "      <td>1934-09-21</td>\n",
       "      <td>Bearsden</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1934.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>University of Washington</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>967</th>\n",
       "      <td>2016</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 2016</td>\n",
       "      <td>\"for theoretical discoveries of topological ph...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>929</td>\n",
       "      <td>Individual</td>\n",
       "      <td>F. Duncan M. Haldane</td>\n",
       "      <td>1951-09-14</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1951.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Princeton University</td>\n",
       "      <td>Princeton, NJ</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>968</th>\n",
       "      <td>2016</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 2016</td>\n",
       "      <td>\"for theoretical discoveries of topological ph...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>930</td>\n",
       "      <td>Individual</td>\n",
       "      <td>J. Michael Kosterlitz</td>\n",
       "      <td>1943-06-22</td>\n",
       "      <td>Aberdeen</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1943.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Brown University</td>\n",
       "      <td>Providence, RI</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>1973</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1973</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>531</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Le Duc Tho</td>\n",
       "      <td>1911-10-14</td>\n",
       "      <td>Nam Ha province</td>\n",
       "      <td>Vietnam</td>\n",
       "      <td>1911.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-10-13</td>\n",
       "      <td>Hanoi</td>\n",
       "      <td>Vietnam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>1979</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1979</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>540</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Mother Teresa</td>\n",
       "      <td>1910-08-26</td>\n",
       "      <td>Uskup (Skopje)</td>\n",
       "      <td>Ottoman Empire (Republic of Macedonia)</td>\n",
       "      <td>1910.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1997-09-05</td>\n",
       "      <td>Calcutta</td>\n",
       "      <td>India</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>1989</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1989</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>551</td>\n",
       "      <td>Individual</td>\n",
       "      <td>The 14th Dalai Lama (Tenzin Gyatso)</td>\n",
       "      <td>1935-07-06</td>\n",
       "      <td>Taktser</td>\n",
       "      <td>Tibet (People's Republic of China)</td>\n",
       "      <td>1935.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>Male</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>1991</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1991</td>\n",
       "      <td>\"for her non-violent struggle for democracy an...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>553</td>\n",
       "      <td>Individual</td>\n",
       "      <td>Aung San Suu Kyi</td>\n",
       "      <td>1945-06-19</td>\n",
       "      <td>Rangoon (Yangon)</td>\n",
       "      <td>Burma (Myanmar)</td>\n",
       "      <td>1945.0</td>\n",
       "      <td>46.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1904</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>467</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Institut de droit international (Institute of ...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>1910</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>477</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Bureau international permanent de la Paix (Per...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1917</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1917</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>482</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Comité international de la Croix Rouge (Intern...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>1938</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1938</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>503</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Office international Nansen pour les Réfugiés ...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>1947</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>508</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Friends Service Council (The Quakers)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>1947</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>509</td>\n",
       "      <td>Organization</td>\n",
       "      <td>American Friends Service Committee (The Quakers)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>1954</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1954</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>515</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Office of the United Nations High Commissioner...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>1963</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1963</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>523</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Ligue des Sociétés de la Croix-Rouge (League o...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>1965</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1965</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>525</td>\n",
       "      <td>Organization</td>\n",
       "      <td>United Nations Children's Fund (UNICEF)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>1969</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1969</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>527</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Labour Organization (I.L.O.)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>1977</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>537</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Amnesty International</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>1985</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>547</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Physicians for the Prevention of...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>1988</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1988</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>550</td>\n",
       "      <td>Organization</td>\n",
       "      <td>United Nations Peacekeeping Forces</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1995</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1995</td>\n",
       "      <td>\"for their efforts to diminish the part played...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>561</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Pugwash Conferences on Science and World Affairs</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>1997</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1997</td>\n",
       "      <td>\"for their work for the banning and clearing o...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>564</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Campaign to Ban Landmines (ICBL)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>1999</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1999</td>\n",
       "      <td>\"in recognition of the organization's pioneeri...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>568</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Médecins Sans Frontières</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>2001</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2001</td>\n",
       "      <td>\"for their work for a better organized and mor...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>748</td>\n",
       "      <td>Organization</td>\n",
       "      <td>United Nations (U.N.)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>2005</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2005</td>\n",
       "      <td>\"for their efforts to prevent nuclear energy f...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>797</td>\n",
       "      <td>Organization</td>\n",
       "      <td>International Atomic Energy Agency (IAEA)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>821</th>\n",
       "      <td>2006</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2006</td>\n",
       "      <td>\"for their efforts to create economic and soci...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>810</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Grameen Bank</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>2007</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2007</td>\n",
       "      <td>\"for their efforts to build up and disseminate...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>818</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Intergovernmental Panel on Climate Change (IPCC)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>909</th>\n",
       "      <td>2012</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2012</td>\n",
       "      <td>\"for over six decades contributed to the advan...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>881</td>\n",
       "      <td>Organization</td>\n",
       "      <td>European Union (EU)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>2013</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2013</td>\n",
       "      <td>\"for its extensive efforts to eliminate chemic...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>893</td>\n",
       "      <td>Organization</td>\n",
       "      <td>Organisation for the Prohibition of Chemical W...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>2015</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2015</td>\n",
       "      <td>\"for its decisive contribution to the building...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>925</td>\n",
       "      <td>Organization</td>\n",
       "      <td>National Dialogue Quartet</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>904 rows × 20 columns</p>\n",
       "</div>"
      ],
      "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",
       "6    1902   Chemistry               The Nobel Prize in Chemistry 1902   \n",
       "7    1902  Literature              The Nobel Prize in Literature 1902   \n",
       "8    1902    Medicine  The Nobel Prize in Physiology or Medicine 1902   \n",
       "9    1902       Peace                      The Nobel Peace Prize 1902   \n",
       "10   1902       Peace                      The Nobel Peace Prize 1902   \n",
       "11   1902     Physics                 The Nobel Prize in Physics 1902   \n",
       "12   1902     Physics                 The Nobel Prize in Physics 1902   \n",
       "13   1903   Chemistry               The Nobel Prize in Chemistry 1903   \n",
       "14   1903  Literature              The Nobel Prize in Literature 1903   \n",
       "15   1903    Medicine  The Nobel Prize in Physiology or Medicine 1903   \n",
       "16   1903       Peace                      The Nobel Peace Prize 1903   \n",
       "17   1903     Physics                 The Nobel Prize in Physics 1903   \n",
       "18   1903     Physics                 The Nobel Prize in Physics 1903   \n",
       "19   1903     Physics                 The Nobel Prize in Physics 1903   \n",
       "20   1904   Chemistry               The Nobel Prize in Chemistry 1904   \n",
       "21   1904  Literature              The Nobel Prize in Literature 1904   \n",
       "22   1904  Literature              The Nobel Prize in Literature 1904   \n",
       "23   1904    Medicine  The Nobel Prize in Physiology or Medicine 1904   \n",
       "25   1904     Physics                 The Nobel Prize in Physics 1904   \n",
       "26   1905   Chemistry               The Nobel Prize in Chemistry 1905   \n",
       "27   1905  Literature              The Nobel Prize in Literature 1905   \n",
       "28   1905    Medicine  The Nobel Prize in Physiology or Medicine 1905   \n",
       "29   1905       Peace                      The Nobel Peace Prize 1905   \n",
       "30   1905     Physics                 The Nobel Prize in Physics 1905   \n",
       "..    ...         ...                                             ...   \n",
       "966  2016     Physics                 The Nobel Prize in Physics 2016   \n",
       "967  2016     Physics                 The Nobel Prize in Physics 2016   \n",
       "968  2016     Physics                 The Nobel Prize in Physics 2016   \n",
       "452  1973       Peace                      The Nobel Peace Prize 1973   \n",
       "520  1979       Peace                      The Nobel Peace Prize 1979   \n",
       "620  1989       Peace                      The Nobel Peace Prize 1989   \n",
       "640  1991       Peace                      The Nobel Peace Prize 1991   \n",
       "24   1904       Peace                      The Nobel Peace Prize 1904   \n",
       "61   1910       Peace                      The Nobel Peace Prize 1910   \n",
       "90   1917       Peace                      The Nobel Peace Prize 1917   \n",
       "206  1938       Peace                      The Nobel Peace Prize 1938   \n",
       "244  1947       Peace                      The Nobel Peace Prize 1947   \n",
       "245  1947       Peace                      The Nobel Peace Prize 1947   \n",
       "295  1954       Peace                      The Nobel Peace Prize 1954   \n",
       "366  1963       Peace                      The Nobel Peace Prize 1963   \n",
       "383  1965       Peace                      The Nobel Peace Prize 1965   \n",
       "416  1969       Peace                      The Nobel Peace Prize 1969   \n",
       "498  1977       Peace                      The Nobel Peace Prize 1977   \n",
       "578  1985       Peace                      The Nobel Peace Prize 1985   \n",
       "610  1988       Peace                      The Nobel Peace Prize 1988   \n",
       "682  1995       Peace                      The Nobel Peace Prize 1995   \n",
       "705  1997       Peace                      The Nobel Peace Prize 1997   \n",
       "728  1999       Peace                      The Nobel Peace Prize 1999   \n",
       "754  2001       Peace                      The Nobel Peace Prize 2001   \n",
       "808  2005       Peace                      The Nobel Peace Prize 2005   \n",
       "821  2006       Peace                      The Nobel Peace Prize 2006   \n",
       "833  2007       Peace                      The Nobel Peace Prize 2007   \n",
       "909  2012       Peace                      The Nobel Peace Prize 2012   \n",
       "927  2013       Peace                      The Nobel Peace Prize 2013   \n",
       "955  2015       Peace                      The Nobel Peace Prize 2015   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "0    \"in recognition of the extraordinary services ...         1/1   \n",
       "1    \"in special recognition of his poetic composit...         1/1   \n",
       "2    \"for his work on serum therapy, especially its...         1/1   \n",
       "3                                                  NaN         1/2   \n",
       "4                                                  NaN         1/2   \n",
       "5    \"in recognition of the extraordinary services ...         1/1   \n",
       "6    \"in recognition of the extraordinary services ...         1/1   \n",
       "7    \"the greatest living master of the art of hist...         1/1   \n",
       "8    \"for his work on malaria, by which he has show...         1/1   \n",
       "9                                                  NaN         1/2   \n",
       "10                                                 NaN         1/2   \n",
       "11   \"in recognition of the extraordinary service t...         1/2   \n",
       "12   \"in recognition of the extraordinary service t...         1/2   \n",
       "13   \"in recognition of the extraordinary services ...         1/1   \n",
       "14   \"as a tribute to his noble, magnificent and ve...         1/1   \n",
       "15   \"in recognition of his contribution to the tre...         1/1   \n",
       "16                                                 NaN         1/1   \n",
       "17   \"in recognition of the extraordinary services ...         1/2   \n",
       "18   \"in recognition of the extraordinary services ...         1/4   \n",
       "19   \"in recognition of the extraordinary services ...         1/4   \n",
       "20   \"in recognition of his services in the discove...         1/1   \n",
       "21   \"in recognition of the fresh originality and t...         1/2   \n",
       "22   \"in recognition of the numerous and brilliant ...         1/2   \n",
       "23   \"in recognition of his work on the physiology ...         1/1   \n",
       "25   \"for his investigations of the densities of th...         1/1   \n",
       "26   \"in recognition of his services in the advance...         1/1   \n",
       "27   \"because of his outstanding merits as an epic ...         1/1   \n",
       "28   \"for his investigations and discoveries in rel...         1/1   \n",
       "29                                                 NaN         1/1   \n",
       "30                      \"for his work on cathode rays\"         1/1   \n",
       "..                                                 ...         ...   \n",
       "966  \"for theoretical discoveries of topological ph...         1/2   \n",
       "967  \"for theoretical discoveries of topological ph...         1/4   \n",
       "968  \"for theoretical discoveries of topological ph...         1/4   \n",
       "452                                                NaN         1/2   \n",
       "520                                                NaN         1/1   \n",
       "620                                                NaN         1/1   \n",
       "640  \"for her non-violent struggle for democracy an...         1/1   \n",
       "24                                                 NaN         1/1   \n",
       "61                                                 NaN         1/1   \n",
       "90                                                 NaN         1/1   \n",
       "206                                                NaN         1/1   \n",
       "244                                                NaN         1/2   \n",
       "245                                                NaN         1/2   \n",
       "295                                                NaN         1/1   \n",
       "366                                                NaN         1/2   \n",
       "383                                                NaN         1/1   \n",
       "416                                                NaN         1/1   \n",
       "498                                                NaN         1/1   \n",
       "578                                                NaN         1/1   \n",
       "610                                                NaN         1/1   \n",
       "682  \"for their efforts to diminish the part played...         1/2   \n",
       "705  \"for their work for the banning and clearing o...         1/2   \n",
       "728  \"in recognition of the organization's pioneeri...         1/1   \n",
       "754  \"for their work for a better organized and mor...         1/2   \n",
       "808  \"for their efforts to prevent nuclear energy f...         1/2   \n",
       "821  \"for their efforts to create economic and soci...         1/2   \n",
       "833  \"for their efforts to build up and disseminate...         1/2   \n",
       "909  \"for over six decades contributed to the advan...         1/1   \n",
       "927  \"for its extensive efforts to eliminate chemic...         1/1   \n",
       "955  \"for its decisive contribution to the building...         1/1   \n",
       "\n",
       "     Laureate ID Laureate Type  \\\n",
       "0            160    Individual   \n",
       "1            569    Individual   \n",
       "2            293    Individual   \n",
       "3            462    Individual   \n",
       "4            463    Individual   \n",
       "5              1    Individual   \n",
       "6            161    Individual   \n",
       "7            571    Individual   \n",
       "8            294    Individual   \n",
       "9            464    Individual   \n",
       "10           465    Individual   \n",
       "11             2    Individual   \n",
       "12             3    Individual   \n",
       "13           162    Individual   \n",
       "14           572    Individual   \n",
       "15           295    Individual   \n",
       "16           466    Individual   \n",
       "17             4    Individual   \n",
       "18             5    Individual   \n",
       "19             6    Individual   \n",
       "20           163    Individual   \n",
       "21           573    Individual   \n",
       "22           574    Individual   \n",
       "23           296    Individual   \n",
       "25             8    Individual   \n",
       "26           164    Individual   \n",
       "27           575    Individual   \n",
       "28           297    Individual   \n",
       "29           468    Individual   \n",
       "30             9    Individual   \n",
       "..           ...           ...   \n",
       "966          928    Individual   \n",
       "967          929    Individual   \n",
       "968          930    Individual   \n",
       "452          531    Individual   \n",
       "520          540    Individual   \n",
       "620          551    Individual   \n",
       "640          553    Individual   \n",
       "24           467  Organization   \n",
       "61           477  Organization   \n",
       "90           482  Organization   \n",
       "206          503  Organization   \n",
       "244          508  Organization   \n",
       "245          509  Organization   \n",
       "295          515  Organization   \n",
       "366          523  Organization   \n",
       "383          525  Organization   \n",
       "416          527  Organization   \n",
       "498          537  Organization   \n",
       "578          547  Organization   \n",
       "610          550  Organization   \n",
       "682          561  Organization   \n",
       "705          564  Organization   \n",
       "728          568  Organization   \n",
       "754          748  Organization   \n",
       "808          797  Organization   \n",
       "821          810  Organization   \n",
       "833          818  Organization   \n",
       "909          881  Organization   \n",
       "927          893  Organization   \n",
       "955          925  Organization   \n",
       "\n",
       "                                             Full Name  Birth Date  \\\n",
       "0                         Jacobus Henricus van 't Hoff  1852-08-30   \n",
       "1                                      Sully Prudhomme  1839-03-16   \n",
       "2                               Emil Adolf von Behring  1854-03-15   \n",
       "3                                    Jean Henry Dunant  1828-05-08   \n",
       "4                                       Frédéric Passy  1822-05-20   \n",
       "5                               Wilhelm Conrad Röntgen  1845-03-27   \n",
       "6                                 Hermann Emil Fischer  1852-10-09   \n",
       "7                   Christian Matthias Theodor Mommsen  1817-11-30   \n",
       "8                                          Ronald Ross  1857-05-13   \n",
       "9                                        Élie Ducommun  1833-02-19   \n",
       "10                                Charles Albert Gobat  1843-05-21   \n",
       "11                              Hendrik Antoon Lorentz  1853-07-18   \n",
       "12                                       Pieter Zeeman  1865-05-25   \n",
       "13                             Svante August Arrhenius  1859-02-19   \n",
       "14                      Bjørnstjerne Martinus Bjørnson  1832-12-08   \n",
       "15                                 Niels Ryberg Finsen  1860-12-15   \n",
       "16                               William Randal Cremer  1828-03-18   \n",
       "17                             Antoine Henri Becquerel  1852-12-15   \n",
       "18                                        Pierre Curie  1859-05-15   \n",
       "19                         Marie Curie, née Sklodowska  1867-11-07   \n",
       "20                                  Sir William Ramsay  1852-10-02   \n",
       "21                                    Frédéric Mistral  1830-09-08   \n",
       "22                         José Echegaray y Eizaguirre  1832-04-19   \n",
       "23                               Ivan Petrovich Pavlov  1849-09-14   \n",
       "25                 Lord Rayleigh (John William Strutt)  1842-11-12   \n",
       "26           Johann Friedrich Wilhelm Adolf von Baeyer  1835-10-31   \n",
       "27                                  Henryk Sienkiewicz  1846-05-05   \n",
       "28                                         Robert Koch  1843-12-11   \n",
       "29   Baroness Bertha Sophie Felicita von Suttner, n...  1843-06-09   \n",
       "30                     Philipp Eduard Anton von Lenard  1862-06-07   \n",
       "..                                                 ...         ...   \n",
       "966                                  David J. Thouless  1934-09-21   \n",
       "967                               F. Duncan M. Haldane  1951-09-14   \n",
       "968                              J. Michael Kosterlitz  1943-06-22   \n",
       "452                                         Le Duc Tho  1911-10-14   \n",
       "520                                      Mother Teresa  1910-08-26   \n",
       "620                The 14th Dalai Lama (Tenzin Gyatso)  1935-07-06   \n",
       "640                                   Aung San Suu Kyi  1945-06-19   \n",
       "24   Institut de droit international (Institute of ...         NaN   \n",
       "61   Bureau international permanent de la Paix (Per...         NaN   \n",
       "90   Comité international de la Croix Rouge (Intern...         NaN   \n",
       "206  Office international Nansen pour les Réfugiés ...         NaN   \n",
       "244              Friends Service Council (The Quakers)         NaN   \n",
       "245   American Friends Service Committee (The Quakers)         NaN   \n",
       "295  Office of the United Nations High Commissioner...         NaN   \n",
       "366  Ligue des Sociétés de la Croix-Rouge (League o...         NaN   \n",
       "383            United Nations Children's Fund (UNICEF)         NaN   \n",
       "416         International Labour Organization (I.L.O.)         NaN   \n",
       "498                              Amnesty International         NaN   \n",
       "578  International Physicians for the Prevention of...         NaN   \n",
       "610                 United Nations Peacekeeping Forces         NaN   \n",
       "682   Pugwash Conferences on Science and World Affairs         NaN   \n",
       "705     International Campaign to Ban Landmines (ICBL)         NaN   \n",
       "728                           Médecins Sans Frontières         NaN   \n",
       "754                              United Nations (U.N.)         NaN   \n",
       "808          International Atomic Energy Agency (IAEA)         NaN   \n",
       "821                                       Grameen Bank         NaN   \n",
       "833   Intergovernmental Panel on Climate Change (IPCC)         NaN   \n",
       "909                                European Union (EU)         NaN   \n",
       "927  Organisation for the Prohibition of Chemical W...         NaN   \n",
       "955                          National Dialogue Quartet         NaN   \n",
       "\n",
       "                           Birth City                           Birth Country  \\\n",
       "0                           Rotterdam                             Netherlands   \n",
       "1                               Paris                                  France   \n",
       "2                   Hansdorf (Lawice)                        Prussia (Poland)   \n",
       "3                              Geneva                             Switzerland   \n",
       "4                               Paris                                  France   \n",
       "5                  Lennep (Remscheid)                       Prussia (Germany)   \n",
       "6                          Euskirchen                       Prussia (Germany)   \n",
       "7                             Garding                     Schleswig (Germany)   \n",
       "8                              Almora                                   India   \n",
       "9                              Geneva                             Switzerland   \n",
       "10                           Tramelan                             Switzerland   \n",
       "11                             Arnhem                             Netherlands   \n",
       "12                         Zonnemaire                             Netherlands   \n",
       "13                                Vik                                  Sweden   \n",
       "14                             Kvikne                                  Norway   \n",
       "15                          Thorshavn                 Faroe Islands (Denmark)   \n",
       "16                            Fareham                          United Kingdom   \n",
       "17                              Paris                                  France   \n",
       "18                              Paris                                  France   \n",
       "19                             Warsaw                 Russian Empire (Poland)   \n",
       "20                            Glasgow                                Scotland   \n",
       "21                           Maillane                                  France   \n",
       "22                             Madrid                                   Spain   \n",
       "23                             Ryazan                                  Russia   \n",
       "25      Langford Grove, Maldon, Essex                          United Kingdom   \n",
       "26                             Berlin                       Prussia (Germany)   \n",
       "27                     Wola Okrzejska                                  Poland   \n",
       "28   Clausthal (Clausthal-Zellerfeld)                                 Germany   \n",
       "29                             Prague        Austrian Empire (Czech Republic)   \n",
       "30             Pressburg (Bratislava)                      Hungary (Slovakia)   \n",
       "..                                ...                                     ...   \n",
       "966                          Bearsden                          United Kingdom   \n",
       "967                            London                          United Kingdom   \n",
       "968                          Aberdeen                          United Kingdom   \n",
       "452                   Nam Ha province                                 Vietnam   \n",
       "520                    Uskup (Skopje)  Ottoman Empire (Republic of Macedonia)   \n",
       "620                           Taktser      Tibet (People's Republic of China)   \n",
       "640                  Rangoon (Yangon)                         Burma (Myanmar)   \n",
       "24                                NaN                                     NaN   \n",
       "61                                NaN                                     NaN   \n",
       "90                                NaN                                     NaN   \n",
       "206                               NaN                                     NaN   \n",
       "244                               NaN                                     NaN   \n",
       "245                               NaN                                     NaN   \n",
       "295                               NaN                                     NaN   \n",
       "366                               NaN                                     NaN   \n",
       "383                               NaN                                     NaN   \n",
       "416                               NaN                                     NaN   \n",
       "498                               NaN                                     NaN   \n",
       "578                               NaN                                     NaN   \n",
       "610                               NaN                                     NaN   \n",
       "682                               NaN                                     NaN   \n",
       "705                               NaN                                     NaN   \n",
       "728                               NaN                                     NaN   \n",
       "754                               NaN                                     NaN   \n",
       "808                               NaN                                     NaN   \n",
       "821                               NaN                                     NaN   \n",
       "833                               NaN                                     NaN   \n",
       "909                               NaN                                     NaN   \n",
       "927                               NaN                                     NaN   \n",
       "955                               NaN                                     NaN   \n",
       "\n",
       "     Birth Year   Age     Sex  \\\n",
       "0        1852.0  49.0    Male   \n",
       "1        1839.0  62.0    Male   \n",
       "2        1854.0  47.0    Male   \n",
       "3        1828.0  73.0    Male   \n",
       "4        1822.0  79.0    Male   \n",
       "5        1845.0  56.0    Male   \n",
       "6        1852.0  50.0    Male   \n",
       "7        1817.0  85.0    Male   \n",
       "8        1857.0  45.0    Male   \n",
       "9        1833.0  69.0    Male   \n",
       "10       1843.0  59.0    Male   \n",
       "11       1853.0  49.0    Male   \n",
       "12       1865.0  37.0    Male   \n",
       "13       1859.0  44.0    Male   \n",
       "14       1832.0  71.0    Male   \n",
       "15       1860.0  43.0    Male   \n",
       "16       1828.0  75.0    Male   \n",
       "17       1852.0  51.0    Male   \n",
       "18       1859.0  44.0    Male   \n",
       "19       1867.0  36.0  Female   \n",
       "20       1852.0  52.0    Male   \n",
       "21       1830.0  74.0    Male   \n",
       "22       1832.0  72.0    Male   \n",
       "23       1849.0  55.0    Male   \n",
       "25       1842.0  62.0    Male   \n",
       "26       1835.0  70.0    Male   \n",
       "27       1846.0  59.0    Male   \n",
       "28       1843.0  62.0    Male   \n",
       "29       1843.0  62.0  Female   \n",
       "30       1862.0  43.0    Male   \n",
       "..          ...   ...     ...   \n",
       "966      1934.0  82.0    Male   \n",
       "967      1951.0  65.0    Male   \n",
       "968      1943.0  73.0    Male   \n",
       "452      1911.0  62.0    Male   \n",
       "520      1910.0  69.0  Female   \n",
       "620      1935.0  54.0    Male   \n",
       "640      1945.0  46.0  Female   \n",
       "24          NaN   NaN     NaN   \n",
       "61          NaN   NaN     NaN   \n",
       "90          NaN   NaN     NaN   \n",
       "206         NaN   NaN     NaN   \n",
       "244         NaN   NaN     NaN   \n",
       "245         NaN   NaN     NaN   \n",
       "295         NaN   NaN     NaN   \n",
       "366         NaN   NaN     NaN   \n",
       "383         NaN   NaN     NaN   \n",
       "416         NaN   NaN     NaN   \n",
       "498         NaN   NaN     NaN   \n",
       "578         NaN   NaN     NaN   \n",
       "610         NaN   NaN     NaN   \n",
       "682         NaN   NaN     NaN   \n",
       "705         NaN   NaN     NaN   \n",
       "728         NaN   NaN     NaN   \n",
       "754         NaN   NaN     NaN   \n",
       "808         NaN   NaN     NaN   \n",
       "821         NaN   NaN     NaN   \n",
       "833         NaN   NaN     NaN   \n",
       "909         NaN   NaN     NaN   \n",
       "927         NaN   NaN     NaN   \n",
       "955         NaN   NaN     NaN   \n",
       "\n",
       "                                     Organization Name Organization City  \\\n",
       "0                                    Berlin University            Berlin   \n",
       "1                                                  NaN               NaN   \n",
       "2                                   Marburg University           Marburg   \n",
       "3                                                  NaN               NaN   \n",
       "4                                                  NaN               NaN   \n",
       "5                                    Munich University            Munich   \n",
       "6                                    Berlin University            Berlin   \n",
       "7                                                  NaN               NaN   \n",
       "8                                   University College         Liverpool   \n",
       "9                                                  NaN               NaN   \n",
       "10                                                 NaN               NaN   \n",
       "11                                   Leiden University            Leiden   \n",
       "12                                Amsterdam University         Amsterdam   \n",
       "13                                Stockholm University         Stockholm   \n",
       "14                                                 NaN               NaN   \n",
       "15                      Finsen Medical Light Institute        Copenhagen   \n",
       "16                                                 NaN               NaN   \n",
       "17                                 École Polytechnique             Paris   \n",
       "18   École municipale de physique et de chimie indu...             Paris   \n",
       "19                                                 NaN               NaN   \n",
       "20                                  University College            London   \n",
       "21                                                 NaN               NaN   \n",
       "22                                                 NaN               NaN   \n",
       "23                            Military Medical Academy    St. Petersburg   \n",
       "25                  Royal Institution of Great Britain            London   \n",
       "26                                   Munich University            Munich   \n",
       "27                                                 NaN               NaN   \n",
       "28                   Institute for Infectious Diseases            Berlin   \n",
       "29                                                 NaN               NaN   \n",
       "30                                     Kiel University              Kiel   \n",
       "..                                                 ...               ...   \n",
       "966                           University of Washington       Seattle, WA   \n",
       "967                               Princeton University     Princeton, NJ   \n",
       "968                                   Brown University    Providence, RI   \n",
       "452                                                NaN               NaN   \n",
       "520                                                NaN               NaN   \n",
       "620                                                NaN               NaN   \n",
       "640                                                NaN               NaN   \n",
       "24                                                 NaN               NaN   \n",
       "61                                                 NaN               NaN   \n",
       "90                                                 NaN               NaN   \n",
       "206                                                NaN               NaN   \n",
       "244                                                NaN               NaN   \n",
       "245                                                NaN               NaN   \n",
       "295                                                NaN               NaN   \n",
       "366                                                NaN               NaN   \n",
       "383                                                NaN               NaN   \n",
       "416                                                NaN               NaN   \n",
       "498                                                NaN               NaN   \n",
       "578                                                NaN               NaN   \n",
       "610                                                NaN               NaN   \n",
       "682                                                NaN               NaN   \n",
       "705                                                NaN               NaN   \n",
       "728                                                NaN               NaN   \n",
       "754                                                NaN               NaN   \n",
       "808                                                NaN               NaN   \n",
       "821                                                NaN               NaN   \n",
       "833                                                NaN               NaN   \n",
       "909                                                NaN               NaN   \n",
       "927                                                NaN               NaN   \n",
       "955                                                NaN               NaN   \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  \n",
       "6                     Germany  1919-07-15          Berlin         Germany  \n",
       "7                         NaN  1903-11-01  Charlottenburg         Germany  \n",
       "8              United Kingdom  1932-09-16    Putney Heath  United Kingdom  \n",
       "9                         NaN  1906-12-07            Bern     Switzerland  \n",
       "10                        NaN  1914-03-16            Bern     Switzerland  \n",
       "11                Netherlands  1928-02-04             NaN     Netherlands  \n",
       "12                Netherlands  1943-10-09       Amsterdam     Netherlands  \n",
       "13                     Sweden  1927-10-02       Stockholm          Sweden  \n",
       "14                        NaN  1910-04-26           Paris          France  \n",
       "15                    Denmark  1904-09-24      Copenhagen         Denmark  \n",
       "16                        NaN  1908-07-22          London  United Kingdom  \n",
       "17                     France  1908-08-25             NaN          France  \n",
       "18                     France  1906-04-19           Paris          France  \n",
       "19                        NaN  1934-07-04      Sallanches          France  \n",
       "20             United Kingdom  1916-07-23    High Wycombe  United Kingdom  \n",
       "21                        NaN  1914-03-25        Maillane          France  \n",
       "22                        NaN  1916-09-04          Madrid           Spain  \n",
       "23                     Russia  1936-02-27       Leningrad          Russia  \n",
       "25             United Kingdom  1919-06-30             NaN  United Kingdom  \n",
       "26                    Germany  1917-08-20       Starnberg         Germany  \n",
       "27                        NaN  1916-11-15           Vevey     Switzerland  \n",
       "28                    Germany  1910-05-27     Baden-Baden         Germany  \n",
       "29                        NaN  1914-06-21          Vienna         Austria  \n",
       "30                    Germany  1947-05-20    Messelhausen         Germany  \n",
       "..                        ...         ...             ...             ...  \n",
       "966  United States of America         NaN             NaN             NaN  \n",
       "967  United States of America         NaN             NaN             NaN  \n",
       "968  United States of America         NaN             NaN             NaN  \n",
       "452                       NaN  1990-10-13           Hanoi         Vietnam  \n",
       "520                       NaN  1997-09-05        Calcutta           India  \n",
       "620                       NaN         NaN             NaN             NaN  \n",
       "640                       NaN         NaN             NaN             NaN  \n",
       "24                        NaN         NaN             NaN             NaN  \n",
       "61                        NaN         NaN             NaN             NaN  \n",
       "90                        NaN         NaN             NaN             NaN  \n",
       "206                       NaN         NaN             NaN             NaN  \n",
       "244                       NaN         NaN             NaN             NaN  \n",
       "245                       NaN         NaN             NaN             NaN  \n",
       "295                       NaN         NaN             NaN             NaN  \n",
       "366                       NaN         NaN             NaN             NaN  \n",
       "383                       NaN         NaN             NaN             NaN  \n",
       "416                       NaN         NaN             NaN             NaN  \n",
       "498                       NaN         NaN             NaN             NaN  \n",
       "578                       NaN         NaN             NaN             NaN  \n",
       "610                       NaN         NaN             NaN             NaN  \n",
       "682                       NaN         NaN             NaN             NaN  \n",
       "705                       NaN         NaN             NaN             NaN  \n",
       "728                       NaN         NaN             NaN             NaN  \n",
       "754                       NaN         NaN             NaN             NaN  \n",
       "808                       NaN         NaN             NaN             NaN  \n",
       "821                       NaN         NaN             NaN             NaN  \n",
       "833                       NaN         NaN             NaN             NaN  \n",
       "909                       NaN         NaN             NaN             NaN  \n",
       "927                       NaN         NaN             NaN             NaN  \n",
       "955                       NaN         NaN             NaN             NaN  \n",
       "\n",
       "[904 rows x 20 columns]"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#concat the year to the ind dataframe \n",
    "\n",
    "ind = pd.concat([ ind.iloc[: , 0:11], df, ind.iloc[: , 11:] ], axis=1)\n",
    "ind['Birth Year'] = ind['Birth Year'].astype(int)\n",
    "\n",
    "#calculate the age as the difference between year of prize and birth year\n",
    "ind['Age'] = ind['Year'] - ind['Birth Year']\n",
    "\n",
    "#we won't add zero values for the age of organization \n",
    "#and prefer to keep it as Nan and keep the birth year as float instead\n",
    "\n",
    "#form the nobel_no_dup as the concatentation of the modified ind and the ord\n",
    "nobel2 = pd.concat([ind,org], axis=0, sort=False)\n",
    "\n",
    "#reorder the columns, make age with birth year\n",
    "cols = nobel2.columns.tolist()\n",
    "cols_ord = cols[0:12] + cols[19:20] + cols[12:19]\n",
    "nobel3 = nobel2[cols_ord] \n",
    "nobel3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now examining the \"Laureate Type\" column, it has only two values: Individual and Organization. Therefore we find it convenient to encode it into binary integers (0/1) in order to make it easier to handle."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "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>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>Birth Year</th>\n",
       "      <th>Age</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>0</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>1852.0</td>\n",
       "      <td>49.0</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>0</td>\n",
       "      <td>Sully Prudhomme</td>\n",
       "      <td>1839-03-16</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>1839.0</td>\n",
       "      <td>62.0</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>0</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>1854.0</td>\n",
       "      <td>47.0</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>0</td>\n",
       "      <td>Jean Henry Dunant</td>\n",
       "      <td>1828-05-08</td>\n",
       "      <td>Geneva</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>1828.0</td>\n",
       "      <td>73.0</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>0</td>\n",
       "      <td>Frédéric Passy</td>\n",
       "      <td>1822-05-20</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>1822.0</td>\n",
       "      <td>79.0</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>0</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>1845.0</td>\n",
       "      <td>56.0</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",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>1902</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1902</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>161</td>\n",
       "      <td>0</td>\n",
       "      <td>Hermann Emil Fischer</td>\n",
       "      <td>1852-10-09</td>\n",
       "      <td>Euskirchen</td>\n",
       "      <td>Prussia (Germany)</td>\n",
       "      <td>1852.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Berlin University</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1919-07-15</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>1902</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1902</td>\n",
       "      <td>\"the greatest living master of the art of hist...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>571</td>\n",
       "      <td>0</td>\n",
       "      <td>Christian Matthias Theodor Mommsen</td>\n",
       "      <td>1817-11-30</td>\n",
       "      <td>Garding</td>\n",
       "      <td>Schleswig (Germany)</td>\n",
       "      <td>1817.0</td>\n",
       "      <td>85.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1903-11-01</td>\n",
       "      <td>Charlottenburg</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>1902</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1902</td>\n",
       "      <td>\"for his work on malaria, by which he has show...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>294</td>\n",
       "      <td>0</td>\n",
       "      <td>Ronald Ross</td>\n",
       "      <td>1857-05-13</td>\n",
       "      <td>Almora</td>\n",
       "      <td>India</td>\n",
       "      <td>1857.0</td>\n",
       "      <td>45.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>University College</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1932-09-16</td>\n",
       "      <td>Putney Heath</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>1902</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>464</td>\n",
       "      <td>0</td>\n",
       "      <td>Élie Ducommun</td>\n",
       "      <td>1833-02-19</td>\n",
       "      <td>Geneva</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>1833.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1906-12-07</td>\n",
       "      <td>Bern</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>1902</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1902</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>465</td>\n",
       "      <td>0</td>\n",
       "      <td>Charles Albert Gobat</td>\n",
       "      <td>1843-05-21</td>\n",
       "      <td>Tramelan</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>1843.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1914-03-16</td>\n",
       "      <td>Bern</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>1902</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1902</td>\n",
       "      <td>\"in recognition of the extraordinary service t...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>Hendrik Antoon Lorentz</td>\n",
       "      <td>1853-07-18</td>\n",
       "      <td>Arnhem</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1853.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Leiden University</td>\n",
       "      <td>Leiden</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1928-02-04</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Netherlands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>1902</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1902</td>\n",
       "      <td>\"in recognition of the extraordinary service t...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>Pieter Zeeman</td>\n",
       "      <td>1865-05-25</td>\n",
       "      <td>Zonnemaire</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1865.0</td>\n",
       "      <td>37.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Amsterdam University</td>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1943-10-09</td>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>Netherlands</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>1903</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1903</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>162</td>\n",
       "      <td>0</td>\n",
       "      <td>Svante August Arrhenius</td>\n",
       "      <td>1859-02-19</td>\n",
       "      <td>Vik</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>1859.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Stockholm University</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>1927-10-02</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>Sweden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>1903</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1903</td>\n",
       "      <td>\"as a tribute to his noble, magnificent and ve...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>572</td>\n",
       "      <td>0</td>\n",
       "      <td>Bjørnstjerne Martinus Bjørnson</td>\n",
       "      <td>1832-12-08</td>\n",
       "      <td>Kvikne</td>\n",
       "      <td>Norway</td>\n",
       "      <td>1832.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1910-04-26</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>1903</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1903</td>\n",
       "      <td>\"in recognition of his contribution to the tre...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>295</td>\n",
       "      <td>0</td>\n",
       "      <td>Niels Ryberg Finsen</td>\n",
       "      <td>1860-12-15</td>\n",
       "      <td>Thorshavn</td>\n",
       "      <td>Faroe Islands (Denmark)</td>\n",
       "      <td>1860.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Finsen Medical Light Institute</td>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>Denmark</td>\n",
       "      <td>1904-09-24</td>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>Denmark</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>1903</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1903</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>466</td>\n",
       "      <td>0</td>\n",
       "      <td>William Randal Cremer</td>\n",
       "      <td>1828-03-18</td>\n",
       "      <td>Fareham</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1828.0</td>\n",
       "      <td>75.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1908-07-22</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>1903</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1903</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>4</td>\n",
       "      <td>0</td>\n",
       "      <td>Antoine Henri Becquerel</td>\n",
       "      <td>1852-12-15</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>1852.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>École Polytechnique</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>1908-08-25</td>\n",
       "      <td>NaN</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>1903</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1903</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>5</td>\n",
       "      <td>0</td>\n",
       "      <td>Pierre Curie</td>\n",
       "      <td>1859-05-15</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>1859.0</td>\n",
       "      <td>44.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>École municipale de physique et de chimie indu...</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>1906-04-19</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1903</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1903</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>Marie Curie, née Sklodowska</td>\n",
       "      <td>1867-11-07</td>\n",
       "      <td>Warsaw</td>\n",
       "      <td>Russian Empire (Poland)</td>\n",
       "      <td>1867.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1934-07-04</td>\n",
       "      <td>Sallanches</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>1904</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1904</td>\n",
       "      <td>\"in recognition of his services in the discove...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>163</td>\n",
       "      <td>0</td>\n",
       "      <td>Sir William Ramsay</td>\n",
       "      <td>1852-10-02</td>\n",
       "      <td>Glasgow</td>\n",
       "      <td>Scotland</td>\n",
       "      <td>1852.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>University College</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1916-07-23</td>\n",
       "      <td>High Wycombe</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>1904</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1904</td>\n",
       "      <td>\"in recognition of the fresh originality and t...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>573</td>\n",
       "      <td>0</td>\n",
       "      <td>Frédéric Mistral</td>\n",
       "      <td>1830-09-08</td>\n",
       "      <td>Maillane</td>\n",
       "      <td>France</td>\n",
       "      <td>1830.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1914-03-25</td>\n",
       "      <td>Maillane</td>\n",
       "      <td>France</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>1904</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1904</td>\n",
       "      <td>\"in recognition of the numerous and brilliant ...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>574</td>\n",
       "      <td>0</td>\n",
       "      <td>José Echegaray y Eizaguirre</td>\n",
       "      <td>1832-04-19</td>\n",
       "      <td>Madrid</td>\n",
       "      <td>Spain</td>\n",
       "      <td>1832.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1916-09-04</td>\n",
       "      <td>Madrid</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>1904</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1904</td>\n",
       "      <td>\"in recognition of his work on the physiology ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>296</td>\n",
       "      <td>0</td>\n",
       "      <td>Ivan Petrovich Pavlov</td>\n",
       "      <td>1849-09-14</td>\n",
       "      <td>Ryazan</td>\n",
       "      <td>Russia</td>\n",
       "      <td>1849.0</td>\n",
       "      <td>55.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Military Medical Academy</td>\n",
       "      <td>St. Petersburg</td>\n",
       "      <td>Russia</td>\n",
       "      <td>1936-02-27</td>\n",
       "      <td>Leningrad</td>\n",
       "      <td>Russia</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>1904</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1904</td>\n",
       "      <td>\"for his investigations of the densities of th...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>8</td>\n",
       "      <td>0</td>\n",
       "      <td>Lord Rayleigh (John William Strutt)</td>\n",
       "      <td>1842-11-12</td>\n",
       "      <td>Langford Grove, Maldon, Essex</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1842.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Royal Institution of Great Britain</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1919-06-30</td>\n",
       "      <td>NaN</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>1905</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1905</td>\n",
       "      <td>\"in recognition of his services in the advance...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>164</td>\n",
       "      <td>0</td>\n",
       "      <td>Johann Friedrich Wilhelm Adolf von Baeyer</td>\n",
       "      <td>1835-10-31</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Prussia (Germany)</td>\n",
       "      <td>1835.0</td>\n",
       "      <td>70.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Munich University</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1917-08-20</td>\n",
       "      <td>Starnberg</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1905</td>\n",
       "      <td>Literature</td>\n",
       "      <td>The Nobel Prize in Literature 1905</td>\n",
       "      <td>\"because of his outstanding merits as an epic ...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>575</td>\n",
       "      <td>0</td>\n",
       "      <td>Henryk Sienkiewicz</td>\n",
       "      <td>1846-05-05</td>\n",
       "      <td>Wola Okrzejska</td>\n",
       "      <td>Poland</td>\n",
       "      <td>1846.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1916-11-15</td>\n",
       "      <td>Vevey</td>\n",
       "      <td>Switzerland</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>1905</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1905</td>\n",
       "      <td>\"for his investigations and discoveries in rel...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>297</td>\n",
       "      <td>0</td>\n",
       "      <td>Robert Koch</td>\n",
       "      <td>1843-12-11</td>\n",
       "      <td>Clausthal (Clausthal-Zellerfeld)</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1843.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Institute for Infectious Diseases</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1910-05-27</td>\n",
       "      <td>Baden-Baden</td>\n",
       "      <td>Germany</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>1905</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1905</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>468</td>\n",
       "      <td>0</td>\n",
       "      <td>Baroness Bertha Sophie Felicita von Suttner, n...</td>\n",
       "      <td>1843-06-09</td>\n",
       "      <td>Prague</td>\n",
       "      <td>Austrian Empire (Czech Republic)</td>\n",
       "      <td>1843.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1914-06-21</td>\n",
       "      <td>Vienna</td>\n",
       "      <td>Austria</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>1905</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1905</td>\n",
       "      <td>\"for his work on cathode rays\"</td>\n",
       "      <td>1/1</td>\n",
       "      <td>9</td>\n",
       "      <td>0</td>\n",
       "      <td>Philipp Eduard Anton von Lenard</td>\n",
       "      <td>1862-06-07</td>\n",
       "      <td>Pressburg (Bratislava)</td>\n",
       "      <td>Hungary (Slovakia)</td>\n",
       "      <td>1862.0</td>\n",
       "      <td>43.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Kiel University</td>\n",
       "      <td>Kiel</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1947-05-20</td>\n",
       "      <td>Messelhausen</td>\n",
       "      <td>Germany</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",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>966</th>\n",
       "      <td>2016</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 2016</td>\n",
       "      <td>\"for theoretical discoveries of topological ph...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>928</td>\n",
       "      <td>0</td>\n",
       "      <td>David J. Thouless</td>\n",
       "      <td>1934-09-21</td>\n",
       "      <td>Bearsden</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1934.0</td>\n",
       "      <td>82.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>University of Washington</td>\n",
       "      <td>Seattle, WA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>967</th>\n",
       "      <td>2016</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 2016</td>\n",
       "      <td>\"for theoretical discoveries of topological ph...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>929</td>\n",
       "      <td>0</td>\n",
       "      <td>F. Duncan M. Haldane</td>\n",
       "      <td>1951-09-14</td>\n",
       "      <td>London</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1951.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Princeton University</td>\n",
       "      <td>Princeton, NJ</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>968</th>\n",
       "      <td>2016</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 2016</td>\n",
       "      <td>\"for theoretical discoveries of topological ph...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>930</td>\n",
       "      <td>0</td>\n",
       "      <td>J. Michael Kosterlitz</td>\n",
       "      <td>1943-06-22</td>\n",
       "      <td>Aberdeen</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1943.0</td>\n",
       "      <td>73.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>Brown University</td>\n",
       "      <td>Providence, RI</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>452</th>\n",
       "      <td>1973</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1973</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>531</td>\n",
       "      <td>0</td>\n",
       "      <td>Le Duc Tho</td>\n",
       "      <td>1911-10-14</td>\n",
       "      <td>Nam Ha province</td>\n",
       "      <td>Vietnam</td>\n",
       "      <td>1911.0</td>\n",
       "      <td>62.0</td>\n",
       "      <td>Male</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1990-10-13</td>\n",
       "      <td>Hanoi</td>\n",
       "      <td>Vietnam</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>520</th>\n",
       "      <td>1979</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1979</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>540</td>\n",
       "      <td>0</td>\n",
       "      <td>Mother Teresa</td>\n",
       "      <td>1910-08-26</td>\n",
       "      <td>Uskup (Skopje)</td>\n",
       "      <td>Ottoman Empire (Republic of Macedonia)</td>\n",
       "      <td>1910.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>Female</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1997-09-05</td>\n",
       "      <td>Calcutta</td>\n",
       "      <td>India</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>620</th>\n",
       "      <td>1989</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1989</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>551</td>\n",
       "      <td>0</td>\n",
       "      <td>The 14th Dalai Lama (Tenzin Gyatso)</td>\n",
       "      <td>1935-07-06</td>\n",
       "      <td>Taktser</td>\n",
       "      <td>Tibet (People's Republic of China)</td>\n",
       "      <td>1935.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>Male</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>640</th>\n",
       "      <td>1991</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1991</td>\n",
       "      <td>\"for her non-violent struggle for democracy an...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>553</td>\n",
       "      <td>0</td>\n",
       "      <td>Aung San Suu Kyi</td>\n",
       "      <td>1945-06-19</td>\n",
       "      <td>Rangoon (Yangon)</td>\n",
       "      <td>Burma (Myanmar)</td>\n",
       "      <td>1945.0</td>\n",
       "      <td>46.0</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",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>1904</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1904</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>467</td>\n",
       "      <td>1</td>\n",
       "      <td>Institut de droit international (Institute of ...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>61</th>\n",
       "      <td>1910</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1910</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>477</td>\n",
       "      <td>1</td>\n",
       "      <td>Bureau international permanent de la Paix (Per...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>90</th>\n",
       "      <td>1917</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1917</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>482</td>\n",
       "      <td>1</td>\n",
       "      <td>Comité international de la Croix Rouge (Intern...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>206</th>\n",
       "      <td>1938</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1938</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>503</td>\n",
       "      <td>1</td>\n",
       "      <td>Office international Nansen pour les Réfugiés ...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244</th>\n",
       "      <td>1947</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>508</td>\n",
       "      <td>1</td>\n",
       "      <td>Friends Service Council (The Quakers)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>245</th>\n",
       "      <td>1947</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1947</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>509</td>\n",
       "      <td>1</td>\n",
       "      <td>American Friends Service Committee (The Quakers)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>295</th>\n",
       "      <td>1954</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1954</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>515</td>\n",
       "      <td>1</td>\n",
       "      <td>Office of the United Nations High Commissioner...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>366</th>\n",
       "      <td>1963</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1963</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/2</td>\n",
       "      <td>523</td>\n",
       "      <td>1</td>\n",
       "      <td>Ligue des Sociétés de la Croix-Rouge (League o...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>383</th>\n",
       "      <td>1965</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1965</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>525</td>\n",
       "      <td>1</td>\n",
       "      <td>United Nations Children's Fund (UNICEF)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>416</th>\n",
       "      <td>1969</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1969</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>527</td>\n",
       "      <td>1</td>\n",
       "      <td>International Labour Organization (I.L.O.)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>498</th>\n",
       "      <td>1977</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1977</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>537</td>\n",
       "      <td>1</td>\n",
       "      <td>Amnesty International</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>1985</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1985</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>547</td>\n",
       "      <td>1</td>\n",
       "      <td>International Physicians for the Prevention of...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>610</th>\n",
       "      <td>1988</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1988</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>550</td>\n",
       "      <td>1</td>\n",
       "      <td>United Nations Peacekeeping Forces</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>682</th>\n",
       "      <td>1995</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1995</td>\n",
       "      <td>\"for their efforts to diminish the part played...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>561</td>\n",
       "      <td>1</td>\n",
       "      <td>Pugwash Conferences on Science and World Affairs</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>705</th>\n",
       "      <td>1997</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1997</td>\n",
       "      <td>\"for their work for the banning and clearing o...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>564</td>\n",
       "      <td>1</td>\n",
       "      <td>International Campaign to Ban Landmines (ICBL)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>728</th>\n",
       "      <td>1999</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1999</td>\n",
       "      <td>\"in recognition of the organization's pioneeri...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>568</td>\n",
       "      <td>1</td>\n",
       "      <td>Médecins Sans Frontières</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>754</th>\n",
       "      <td>2001</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2001</td>\n",
       "      <td>\"for their work for a better organized and mor...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>748</td>\n",
       "      <td>1</td>\n",
       "      <td>United Nations (U.N.)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>808</th>\n",
       "      <td>2005</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2005</td>\n",
       "      <td>\"for their efforts to prevent nuclear energy f...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>797</td>\n",
       "      <td>1</td>\n",
       "      <td>International Atomic Energy Agency (IAEA)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>821</th>\n",
       "      <td>2006</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2006</td>\n",
       "      <td>\"for their efforts to create economic and soci...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>810</td>\n",
       "      <td>1</td>\n",
       "      <td>Grameen Bank</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>833</th>\n",
       "      <td>2007</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2007</td>\n",
       "      <td>\"for their efforts to build up and disseminate...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>818</td>\n",
       "      <td>1</td>\n",
       "      <td>Intergovernmental Panel on Climate Change (IPCC)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>909</th>\n",
       "      <td>2012</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2012</td>\n",
       "      <td>\"for over six decades contributed to the advan...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>881</td>\n",
       "      <td>1</td>\n",
       "      <td>European Union (EU)</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>927</th>\n",
       "      <td>2013</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2013</td>\n",
       "      <td>\"for its extensive efforts to eliminate chemic...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>893</td>\n",
       "      <td>1</td>\n",
       "      <td>Organisation for the Prohibition of Chemical W...</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>955</th>\n",
       "      <td>2015</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 2015</td>\n",
       "      <td>\"for its decisive contribution to the building...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>925</td>\n",
       "      <td>1</td>\n",
       "      <td>National Dialogue Quartet</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>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>904 rows × 20 columns</p>\n",
       "</div>"
      ],
      "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",
       "6    1902   Chemistry               The Nobel Prize in Chemistry 1902   \n",
       "7    1902  Literature              The Nobel Prize in Literature 1902   \n",
       "8    1902    Medicine  The Nobel Prize in Physiology or Medicine 1902   \n",
       "9    1902       Peace                      The Nobel Peace Prize 1902   \n",
       "10   1902       Peace                      The Nobel Peace Prize 1902   \n",
       "11   1902     Physics                 The Nobel Prize in Physics 1902   \n",
       "12   1902     Physics                 The Nobel Prize in Physics 1902   \n",
       "13   1903   Chemistry               The Nobel Prize in Chemistry 1903   \n",
       "14   1903  Literature              The Nobel Prize in Literature 1903   \n",
       "15   1903    Medicine  The Nobel Prize in Physiology or Medicine 1903   \n",
       "16   1903       Peace                      The Nobel Peace Prize 1903   \n",
       "17   1903     Physics                 The Nobel Prize in Physics 1903   \n",
       "18   1903     Physics                 The Nobel Prize in Physics 1903   \n",
       "19   1903     Physics                 The Nobel Prize in Physics 1903   \n",
       "20   1904   Chemistry               The Nobel Prize in Chemistry 1904   \n",
       "21   1904  Literature              The Nobel Prize in Literature 1904   \n",
       "22   1904  Literature              The Nobel Prize in Literature 1904   \n",
       "23   1904    Medicine  The Nobel Prize in Physiology or Medicine 1904   \n",
       "25   1904     Physics                 The Nobel Prize in Physics 1904   \n",
       "26   1905   Chemistry               The Nobel Prize in Chemistry 1905   \n",
       "27   1905  Literature              The Nobel Prize in Literature 1905   \n",
       "28   1905    Medicine  The Nobel Prize in Physiology or Medicine 1905   \n",
       "29   1905       Peace                      The Nobel Peace Prize 1905   \n",
       "30   1905     Physics                 The Nobel Prize in Physics 1905   \n",
       "..    ...         ...                                             ...   \n",
       "966  2016     Physics                 The Nobel Prize in Physics 2016   \n",
       "967  2016     Physics                 The Nobel Prize in Physics 2016   \n",
       "968  2016     Physics                 The Nobel Prize in Physics 2016   \n",
       "452  1973       Peace                      The Nobel Peace Prize 1973   \n",
       "520  1979       Peace                      The Nobel Peace Prize 1979   \n",
       "620  1989       Peace                      The Nobel Peace Prize 1989   \n",
       "640  1991       Peace                      The Nobel Peace Prize 1991   \n",
       "24   1904       Peace                      The Nobel Peace Prize 1904   \n",
       "61   1910       Peace                      The Nobel Peace Prize 1910   \n",
       "90   1917       Peace                      The Nobel Peace Prize 1917   \n",
       "206  1938       Peace                      The Nobel Peace Prize 1938   \n",
       "244  1947       Peace                      The Nobel Peace Prize 1947   \n",
       "245  1947       Peace                      The Nobel Peace Prize 1947   \n",
       "295  1954       Peace                      The Nobel Peace Prize 1954   \n",
       "366  1963       Peace                      The Nobel Peace Prize 1963   \n",
       "383  1965       Peace                      The Nobel Peace Prize 1965   \n",
       "416  1969       Peace                      The Nobel Peace Prize 1969   \n",
       "498  1977       Peace                      The Nobel Peace Prize 1977   \n",
       "578  1985       Peace                      The Nobel Peace Prize 1985   \n",
       "610  1988       Peace                      The Nobel Peace Prize 1988   \n",
       "682  1995       Peace                      The Nobel Peace Prize 1995   \n",
       "705  1997       Peace                      The Nobel Peace Prize 1997   \n",
       "728  1999       Peace                      The Nobel Peace Prize 1999   \n",
       "754  2001       Peace                      The Nobel Peace Prize 2001   \n",
       "808  2005       Peace                      The Nobel Peace Prize 2005   \n",
       "821  2006       Peace                      The Nobel Peace Prize 2006   \n",
       "833  2007       Peace                      The Nobel Peace Prize 2007   \n",
       "909  2012       Peace                      The Nobel Peace Prize 2012   \n",
       "927  2013       Peace                      The Nobel Peace Prize 2013   \n",
       "955  2015       Peace                      The Nobel Peace Prize 2015   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "0    \"in recognition of the extraordinary services ...         1/1   \n",
       "1    \"in special recognition of his poetic composit...         1/1   \n",
       "2    \"for his work on serum therapy, especially its...         1/1   \n",
       "3                                                  NaN         1/2   \n",
       "4                                                  NaN         1/2   \n",
       "5    \"in recognition of the extraordinary services ...         1/1   \n",
       "6    \"in recognition of the extraordinary services ...         1/1   \n",
       "7    \"the greatest living master of the art of hist...         1/1   \n",
       "8    \"for his work on malaria, by which he has show...         1/1   \n",
       "9                                                  NaN         1/2   \n",
       "10                                                 NaN         1/2   \n",
       "11   \"in recognition of the extraordinary service t...         1/2   \n",
       "12   \"in recognition of the extraordinary service t...         1/2   \n",
       "13   \"in recognition of the extraordinary services ...         1/1   \n",
       "14   \"as a tribute to his noble, magnificent and ve...         1/1   \n",
       "15   \"in recognition of his contribution to the tre...         1/1   \n",
       "16                                                 NaN         1/1   \n",
       "17   \"in recognition of the extraordinary services ...         1/2   \n",
       "18   \"in recognition of the extraordinary services ...         1/4   \n",
       "19   \"in recognition of the extraordinary services ...         1/4   \n",
       "20   \"in recognition of his services in the discove...         1/1   \n",
       "21   \"in recognition of the fresh originality and t...         1/2   \n",
       "22   \"in recognition of the numerous and brilliant ...         1/2   \n",
       "23   \"in recognition of his work on the physiology ...         1/1   \n",
       "25   \"for his investigations of the densities of th...         1/1   \n",
       "26   \"in recognition of his services in the advance...         1/1   \n",
       "27   \"because of his outstanding merits as an epic ...         1/1   \n",
       "28   \"for his investigations and discoveries in rel...         1/1   \n",
       "29                                                 NaN         1/1   \n",
       "30                      \"for his work on cathode rays\"         1/1   \n",
       "..                                                 ...         ...   \n",
       "966  \"for theoretical discoveries of topological ph...         1/2   \n",
       "967  \"for theoretical discoveries of topological ph...         1/4   \n",
       "968  \"for theoretical discoveries of topological ph...         1/4   \n",
       "452                                                NaN         1/2   \n",
       "520                                                NaN         1/1   \n",
       "620                                                NaN         1/1   \n",
       "640  \"for her non-violent struggle for democracy an...         1/1   \n",
       "24                                                 NaN         1/1   \n",
       "61                                                 NaN         1/1   \n",
       "90                                                 NaN         1/1   \n",
       "206                                                NaN         1/1   \n",
       "244                                                NaN         1/2   \n",
       "245                                                NaN         1/2   \n",
       "295                                                NaN         1/1   \n",
       "366                                                NaN         1/2   \n",
       "383                                                NaN         1/1   \n",
       "416                                                NaN         1/1   \n",
       "498                                                NaN         1/1   \n",
       "578                                                NaN         1/1   \n",
       "610                                                NaN         1/1   \n",
       "682  \"for their efforts to diminish the part played...         1/2   \n",
       "705  \"for their work for the banning and clearing o...         1/2   \n",
       "728  \"in recognition of the organization's pioneeri...         1/1   \n",
       "754  \"for their work for a better organized and mor...         1/2   \n",
       "808  \"for their efforts to prevent nuclear energy f...         1/2   \n",
       "821  \"for their efforts to create economic and soci...         1/2   \n",
       "833  \"for their efforts to build up and disseminate...         1/2   \n",
       "909  \"for over six decades contributed to the advan...         1/1   \n",
       "927  \"for its extensive efforts to eliminate chemic...         1/1   \n",
       "955  \"for its decisive contribution to the building...         1/1   \n",
       "\n",
       "     Laureate ID  Laureate Type  \\\n",
       "0            160              0   \n",
       "1            569              0   \n",
       "2            293              0   \n",
       "3            462              0   \n",
       "4            463              0   \n",
       "5              1              0   \n",
       "6            161              0   \n",
       "7            571              0   \n",
       "8            294              0   \n",
       "9            464              0   \n",
       "10           465              0   \n",
       "11             2              0   \n",
       "12             3              0   \n",
       "13           162              0   \n",
       "14           572              0   \n",
       "15           295              0   \n",
       "16           466              0   \n",
       "17             4              0   \n",
       "18             5              0   \n",
       "19             6              0   \n",
       "20           163              0   \n",
       "21           573              0   \n",
       "22           574              0   \n",
       "23           296              0   \n",
       "25             8              0   \n",
       "26           164              0   \n",
       "27           575              0   \n",
       "28           297              0   \n",
       "29           468              0   \n",
       "30             9              0   \n",
       "..           ...            ...   \n",
       "966          928              0   \n",
       "967          929              0   \n",
       "968          930              0   \n",
       "452          531              0   \n",
       "520          540              0   \n",
       "620          551              0   \n",
       "640          553              0   \n",
       "24           467              1   \n",
       "61           477              1   \n",
       "90           482              1   \n",
       "206          503              1   \n",
       "244          508              1   \n",
       "245          509              1   \n",
       "295          515              1   \n",
       "366          523              1   \n",
       "383          525              1   \n",
       "416          527              1   \n",
       "498          537              1   \n",
       "578          547              1   \n",
       "610          550              1   \n",
       "682          561              1   \n",
       "705          564              1   \n",
       "728          568              1   \n",
       "754          748              1   \n",
       "808          797              1   \n",
       "821          810              1   \n",
       "833          818              1   \n",
       "909          881              1   \n",
       "927          893              1   \n",
       "955          925              1   \n",
       "\n",
       "                                             Full Name  Birth Date  \\\n",
       "0                         Jacobus Henricus van 't Hoff  1852-08-30   \n",
       "1                                      Sully Prudhomme  1839-03-16   \n",
       "2                               Emil Adolf von Behring  1854-03-15   \n",
       "3                                    Jean Henry Dunant  1828-05-08   \n",
       "4                                       Frédéric Passy  1822-05-20   \n",
       "5                               Wilhelm Conrad Röntgen  1845-03-27   \n",
       "6                                 Hermann Emil Fischer  1852-10-09   \n",
       "7                   Christian Matthias Theodor Mommsen  1817-11-30   \n",
       "8                                          Ronald Ross  1857-05-13   \n",
       "9                                        Élie Ducommun  1833-02-19   \n",
       "10                                Charles Albert Gobat  1843-05-21   \n",
       "11                              Hendrik Antoon Lorentz  1853-07-18   \n",
       "12                                       Pieter Zeeman  1865-05-25   \n",
       "13                             Svante August Arrhenius  1859-02-19   \n",
       "14                      Bjørnstjerne Martinus Bjørnson  1832-12-08   \n",
       "15                                 Niels Ryberg Finsen  1860-12-15   \n",
       "16                               William Randal Cremer  1828-03-18   \n",
       "17                             Antoine Henri Becquerel  1852-12-15   \n",
       "18                                        Pierre Curie  1859-05-15   \n",
       "19                         Marie Curie, née Sklodowska  1867-11-07   \n",
       "20                                  Sir William Ramsay  1852-10-02   \n",
       "21                                    Frédéric Mistral  1830-09-08   \n",
       "22                         José Echegaray y Eizaguirre  1832-04-19   \n",
       "23                               Ivan Petrovich Pavlov  1849-09-14   \n",
       "25                 Lord Rayleigh (John William Strutt)  1842-11-12   \n",
       "26           Johann Friedrich Wilhelm Adolf von Baeyer  1835-10-31   \n",
       "27                                  Henryk Sienkiewicz  1846-05-05   \n",
       "28                                         Robert Koch  1843-12-11   \n",
       "29   Baroness Bertha Sophie Felicita von Suttner, n...  1843-06-09   \n",
       "30                     Philipp Eduard Anton von Lenard  1862-06-07   \n",
       "..                                                 ...         ...   \n",
       "966                                  David J. Thouless  1934-09-21   \n",
       "967                               F. Duncan M. Haldane  1951-09-14   \n",
       "968                              J. Michael Kosterlitz  1943-06-22   \n",
       "452                                         Le Duc Tho  1911-10-14   \n",
       "520                                      Mother Teresa  1910-08-26   \n",
       "620                The 14th Dalai Lama (Tenzin Gyatso)  1935-07-06   \n",
       "640                                   Aung San Suu Kyi  1945-06-19   \n",
       "24   Institut de droit international (Institute of ...         NaN   \n",
       "61   Bureau international permanent de la Paix (Per...         NaN   \n",
       "90   Comité international de la Croix Rouge (Intern...         NaN   \n",
       "206  Office international Nansen pour les Réfugiés ...         NaN   \n",
       "244              Friends Service Council (The Quakers)         NaN   \n",
       "245   American Friends Service Committee (The Quakers)         NaN   \n",
       "295  Office of the United Nations High Commissioner...         NaN   \n",
       "366  Ligue des Sociétés de la Croix-Rouge (League o...         NaN   \n",
       "383            United Nations Children's Fund (UNICEF)         NaN   \n",
       "416         International Labour Organization (I.L.O.)         NaN   \n",
       "498                              Amnesty International         NaN   \n",
       "578  International Physicians for the Prevention of...         NaN   \n",
       "610                 United Nations Peacekeeping Forces         NaN   \n",
       "682   Pugwash Conferences on Science and World Affairs         NaN   \n",
       "705     International Campaign to Ban Landmines (ICBL)         NaN   \n",
       "728                           Médecins Sans Frontières         NaN   \n",
       "754                              United Nations (U.N.)         NaN   \n",
       "808          International Atomic Energy Agency (IAEA)         NaN   \n",
       "821                                       Grameen Bank         NaN   \n",
       "833   Intergovernmental Panel on Climate Change (IPCC)         NaN   \n",
       "909                                European Union (EU)         NaN   \n",
       "927  Organisation for the Prohibition of Chemical W...         NaN   \n",
       "955                          National Dialogue Quartet         NaN   \n",
       "\n",
       "                           Birth City                           Birth Country  \\\n",
       "0                           Rotterdam                             Netherlands   \n",
       "1                               Paris                                  France   \n",
       "2                   Hansdorf (Lawice)                        Prussia (Poland)   \n",
       "3                              Geneva                             Switzerland   \n",
       "4                               Paris                                  France   \n",
       "5                  Lennep (Remscheid)                       Prussia (Germany)   \n",
       "6                          Euskirchen                       Prussia (Germany)   \n",
       "7                             Garding                     Schleswig (Germany)   \n",
       "8                              Almora                                   India   \n",
       "9                              Geneva                             Switzerland   \n",
       "10                           Tramelan                             Switzerland   \n",
       "11                             Arnhem                             Netherlands   \n",
       "12                         Zonnemaire                             Netherlands   \n",
       "13                                Vik                                  Sweden   \n",
       "14                             Kvikne                                  Norway   \n",
       "15                          Thorshavn                 Faroe Islands (Denmark)   \n",
       "16                            Fareham                          United Kingdom   \n",
       "17                              Paris                                  France   \n",
       "18                              Paris                                  France   \n",
       "19                             Warsaw                 Russian Empire (Poland)   \n",
       "20                            Glasgow                                Scotland   \n",
       "21                           Maillane                                  France   \n",
       "22                             Madrid                                   Spain   \n",
       "23                             Ryazan                                  Russia   \n",
       "25      Langford Grove, Maldon, Essex                          United Kingdom   \n",
       "26                             Berlin                       Prussia (Germany)   \n",
       "27                     Wola Okrzejska                                  Poland   \n",
       "28   Clausthal (Clausthal-Zellerfeld)                                 Germany   \n",
       "29                             Prague        Austrian Empire (Czech Republic)   \n",
       "30             Pressburg (Bratislava)                      Hungary (Slovakia)   \n",
       "..                                ...                                     ...   \n",
       "966                          Bearsden                          United Kingdom   \n",
       "967                            London                          United Kingdom   \n",
       "968                          Aberdeen                          United Kingdom   \n",
       "452                   Nam Ha province                                 Vietnam   \n",
       "520                    Uskup (Skopje)  Ottoman Empire (Republic of Macedonia)   \n",
       "620                           Taktser      Tibet (People's Republic of China)   \n",
       "640                  Rangoon (Yangon)                         Burma (Myanmar)   \n",
       "24                                NaN                                     NaN   \n",
       "61                                NaN                                     NaN   \n",
       "90                                NaN                                     NaN   \n",
       "206                               NaN                                     NaN   \n",
       "244                               NaN                                     NaN   \n",
       "245                               NaN                                     NaN   \n",
       "295                               NaN                                     NaN   \n",
       "366                               NaN                                     NaN   \n",
       "383                               NaN                                     NaN   \n",
       "416                               NaN                                     NaN   \n",
       "498                               NaN                                     NaN   \n",
       "578                               NaN                                     NaN   \n",
       "610                               NaN                                     NaN   \n",
       "682                               NaN                                     NaN   \n",
       "705                               NaN                                     NaN   \n",
       "728                               NaN                                     NaN   \n",
       "754                               NaN                                     NaN   \n",
       "808                               NaN                                     NaN   \n",
       "821                               NaN                                     NaN   \n",
       "833                               NaN                                     NaN   \n",
       "909                               NaN                                     NaN   \n",
       "927                               NaN                                     NaN   \n",
       "955                               NaN                                     NaN   \n",
       "\n",
       "     Birth Year   Age     Sex  \\\n",
       "0        1852.0  49.0    Male   \n",
       "1        1839.0  62.0    Male   \n",
       "2        1854.0  47.0    Male   \n",
       "3        1828.0  73.0    Male   \n",
       "4        1822.0  79.0    Male   \n",
       "5        1845.0  56.0    Male   \n",
       "6        1852.0  50.0    Male   \n",
       "7        1817.0  85.0    Male   \n",
       "8        1857.0  45.0    Male   \n",
       "9        1833.0  69.0    Male   \n",
       "10       1843.0  59.0    Male   \n",
       "11       1853.0  49.0    Male   \n",
       "12       1865.0  37.0    Male   \n",
       "13       1859.0  44.0    Male   \n",
       "14       1832.0  71.0    Male   \n",
       "15       1860.0  43.0    Male   \n",
       "16       1828.0  75.0    Male   \n",
       "17       1852.0  51.0    Male   \n",
       "18       1859.0  44.0    Male   \n",
       "19       1867.0  36.0  Female   \n",
       "20       1852.0  52.0    Male   \n",
       "21       1830.0  74.0    Male   \n",
       "22       1832.0  72.0    Male   \n",
       "23       1849.0  55.0    Male   \n",
       "25       1842.0  62.0    Male   \n",
       "26       1835.0  70.0    Male   \n",
       "27       1846.0  59.0    Male   \n",
       "28       1843.0  62.0    Male   \n",
       "29       1843.0  62.0  Female   \n",
       "30       1862.0  43.0    Male   \n",
       "..          ...   ...     ...   \n",
       "966      1934.0  82.0    Male   \n",
       "967      1951.0  65.0    Male   \n",
       "968      1943.0  73.0    Male   \n",
       "452      1911.0  62.0    Male   \n",
       "520      1910.0  69.0  Female   \n",
       "620      1935.0  54.0    Male   \n",
       "640      1945.0  46.0  Female   \n",
       "24          NaN   NaN     NaN   \n",
       "61          NaN   NaN     NaN   \n",
       "90          NaN   NaN     NaN   \n",
       "206         NaN   NaN     NaN   \n",
       "244         NaN   NaN     NaN   \n",
       "245         NaN   NaN     NaN   \n",
       "295         NaN   NaN     NaN   \n",
       "366         NaN   NaN     NaN   \n",
       "383         NaN   NaN     NaN   \n",
       "416         NaN   NaN     NaN   \n",
       "498         NaN   NaN     NaN   \n",
       "578         NaN   NaN     NaN   \n",
       "610         NaN   NaN     NaN   \n",
       "682         NaN   NaN     NaN   \n",
       "705         NaN   NaN     NaN   \n",
       "728         NaN   NaN     NaN   \n",
       "754         NaN   NaN     NaN   \n",
       "808         NaN   NaN     NaN   \n",
       "821         NaN   NaN     NaN   \n",
       "833         NaN   NaN     NaN   \n",
       "909         NaN   NaN     NaN   \n",
       "927         NaN   NaN     NaN   \n",
       "955         NaN   NaN     NaN   \n",
       "\n",
       "                                     Organization Name Organization City  \\\n",
       "0                                    Berlin University            Berlin   \n",
       "1                                                  NaN               NaN   \n",
       "2                                   Marburg University           Marburg   \n",
       "3                                                  NaN               NaN   \n",
       "4                                                  NaN               NaN   \n",
       "5                                    Munich University            Munich   \n",
       "6                                    Berlin University            Berlin   \n",
       "7                                                  NaN               NaN   \n",
       "8                                   University College         Liverpool   \n",
       "9                                                  NaN               NaN   \n",
       "10                                                 NaN               NaN   \n",
       "11                                   Leiden University            Leiden   \n",
       "12                                Amsterdam University         Amsterdam   \n",
       "13                                Stockholm University         Stockholm   \n",
       "14                                                 NaN               NaN   \n",
       "15                      Finsen Medical Light Institute        Copenhagen   \n",
       "16                                                 NaN               NaN   \n",
       "17                                 École Polytechnique             Paris   \n",
       "18   École municipale de physique et de chimie indu...             Paris   \n",
       "19                                                 NaN               NaN   \n",
       "20                                  University College            London   \n",
       "21                                                 NaN               NaN   \n",
       "22                                                 NaN               NaN   \n",
       "23                            Military Medical Academy    St. Petersburg   \n",
       "25                  Royal Institution of Great Britain            London   \n",
       "26                                   Munich University            Munich   \n",
       "27                                                 NaN               NaN   \n",
       "28                   Institute for Infectious Diseases            Berlin   \n",
       "29                                                 NaN               NaN   \n",
       "30                                     Kiel University              Kiel   \n",
       "..                                                 ...               ...   \n",
       "966                           University of Washington       Seattle, WA   \n",
       "967                               Princeton University     Princeton, NJ   \n",
       "968                                   Brown University    Providence, RI   \n",
       "452                                                NaN               NaN   \n",
       "520                                                NaN               NaN   \n",
       "620                                                NaN               NaN   \n",
       "640                                                NaN               NaN   \n",
       "24                                                 NaN               NaN   \n",
       "61                                                 NaN               NaN   \n",
       "90                                                 NaN               NaN   \n",
       "206                                                NaN               NaN   \n",
       "244                                                NaN               NaN   \n",
       "245                                                NaN               NaN   \n",
       "295                                                NaN               NaN   \n",
       "366                                                NaN               NaN   \n",
       "383                                                NaN               NaN   \n",
       "416                                                NaN               NaN   \n",
       "498                                                NaN               NaN   \n",
       "578                                                NaN               NaN   \n",
       "610                                                NaN               NaN   \n",
       "682                                                NaN               NaN   \n",
       "705                                                NaN               NaN   \n",
       "728                                                NaN               NaN   \n",
       "754                                                NaN               NaN   \n",
       "808                                                NaN               NaN   \n",
       "821                                                NaN               NaN   \n",
       "833                                                NaN               NaN   \n",
       "909                                                NaN               NaN   \n",
       "927                                                NaN               NaN   \n",
       "955                                                NaN               NaN   \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  \n",
       "6                     Germany  1919-07-15          Berlin         Germany  \n",
       "7                         NaN  1903-11-01  Charlottenburg         Germany  \n",
       "8              United Kingdom  1932-09-16    Putney Heath  United Kingdom  \n",
       "9                         NaN  1906-12-07            Bern     Switzerland  \n",
       "10                        NaN  1914-03-16            Bern     Switzerland  \n",
       "11                Netherlands  1928-02-04             NaN     Netherlands  \n",
       "12                Netherlands  1943-10-09       Amsterdam     Netherlands  \n",
       "13                     Sweden  1927-10-02       Stockholm          Sweden  \n",
       "14                        NaN  1910-04-26           Paris          France  \n",
       "15                    Denmark  1904-09-24      Copenhagen         Denmark  \n",
       "16                        NaN  1908-07-22          London  United Kingdom  \n",
       "17                     France  1908-08-25             NaN          France  \n",
       "18                     France  1906-04-19           Paris          France  \n",
       "19                        NaN  1934-07-04      Sallanches          France  \n",
       "20             United Kingdom  1916-07-23    High Wycombe  United Kingdom  \n",
       "21                        NaN  1914-03-25        Maillane          France  \n",
       "22                        NaN  1916-09-04          Madrid           Spain  \n",
       "23                     Russia  1936-02-27       Leningrad          Russia  \n",
       "25             United Kingdom  1919-06-30             NaN  United Kingdom  \n",
       "26                    Germany  1917-08-20       Starnberg         Germany  \n",
       "27                        NaN  1916-11-15           Vevey     Switzerland  \n",
       "28                    Germany  1910-05-27     Baden-Baden         Germany  \n",
       "29                        NaN  1914-06-21          Vienna         Austria  \n",
       "30                    Germany  1947-05-20    Messelhausen         Germany  \n",
       "..                        ...         ...             ...             ...  \n",
       "966  United States of America         NaN             NaN             NaN  \n",
       "967  United States of America         NaN             NaN             NaN  \n",
       "968  United States of America         NaN             NaN             NaN  \n",
       "452                       NaN  1990-10-13           Hanoi         Vietnam  \n",
       "520                       NaN  1997-09-05        Calcutta           India  \n",
       "620                       NaN         NaN             NaN             NaN  \n",
       "640                       NaN         NaN             NaN             NaN  \n",
       "24                        NaN         NaN             NaN             NaN  \n",
       "61                        NaN         NaN             NaN             NaN  \n",
       "90                        NaN         NaN             NaN             NaN  \n",
       "206                       NaN         NaN             NaN             NaN  \n",
       "244                       NaN         NaN             NaN             NaN  \n",
       "245                       NaN         NaN             NaN             NaN  \n",
       "295                       NaN         NaN             NaN             NaN  \n",
       "366                       NaN         NaN             NaN             NaN  \n",
       "383                       NaN         NaN             NaN             NaN  \n",
       "416                       NaN         NaN             NaN             NaN  \n",
       "498                       NaN         NaN             NaN             NaN  \n",
       "578                       NaN         NaN             NaN             NaN  \n",
       "610                       NaN         NaN             NaN             NaN  \n",
       "682                       NaN         NaN             NaN             NaN  \n",
       "705                       NaN         NaN             NaN             NaN  \n",
       "728                       NaN         NaN             NaN             NaN  \n",
       "754                       NaN         NaN             NaN             NaN  \n",
       "808                       NaN         NaN             NaN             NaN  \n",
       "821                       NaN         NaN             NaN             NaN  \n",
       "833                       NaN         NaN             NaN             NaN  \n",
       "909                       NaN         NaN             NaN             NaN  \n",
       "927                       NaN         NaN             NaN             NaN  \n",
       "955                       NaN         NaN             NaN             NaN  \n",
       "\n",
       "[904 rows x 20 columns]"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nobel3[\"Laureate Type\"] = nobel3[\"Laureate Type\"].astype('category')\n",
    "nobel3[\"Laureate Type\"] = nobel3[\"Laureate Type\"].cat.codes\n",
    "nobel3"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We try to encode the \"Sex\" column as well, it consists of only 2 values: Male and Female. The problem is there is Nan values in this column for the organization records. Therefore we make a dictionary and map the values instead of using .cat.codes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "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",
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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>Birth Country</th>\n",
       "      <th>Birth Year</th>\n",
       "      <th>Age</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>397</th>\n",
       "      <td>1967</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1967</td>\n",
       "      <td>\"for their discoveries concerning the primary ...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>385</td>\n",
       "      <td>0</td>\n",
       "      <td>Ragnar Granit</td>\n",
       "      <td>1900-10-30</td>\n",
       "      <td>Helsinki</td>\n",
       "      <td>Russian Empire (Finland)</td>\n",
       "      <td>1900.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Karolinska Institutet</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>1991-03-12</td>\n",
       "      <td>Stockholm</td>\n",
       "      <td>Sweden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>669</th>\n",
       "      <td>1994</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1994</td>\n",
       "      <td>\"for their efforts to create peace in the Midd...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>558</td>\n",
       "      <td>0</td>\n",
       "      <td>Shimon Peres</td>\n",
       "      <td>1923-08-16</td>\n",
       "      <td>Vishneva</td>\n",
       "      <td>Poland (Belarus)</td>\n",
       "      <td>1923.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2016-09-28</td>\n",
       "      <td>Tel Aviv</td>\n",
       "      <td>Israel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>696</th>\n",
       "      <td>1996</td>\n",
       "      <td>Physics</td>\n",
       "      <td>The Nobel Prize in Physics 1996</td>\n",
       "      <td>\"for their discovery of superfluidity in heliu...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>150</td>\n",
       "      <td>0</td>\n",
       "      <td>Douglas D. Osheroff</td>\n",
       "      <td>1945-08-01</td>\n",
       "      <td>Aberdeen, WA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1945.0</td>\n",
       "      <td>51.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Stanford University</td>\n",
       "      <td>Stanford, CA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>885</th>\n",
       "      <td>2011</td>\n",
       "      <td>Economics</td>\n",
       "      <td>The Sveriges Riksbank Prize in Economic Scienc...</td>\n",
       "      <td>\"for their empirical research on cause and eff...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>873</td>\n",
       "      <td>0</td>\n",
       "      <td>Christopher A. Sims</td>\n",
       "      <td>1942-10-21</td>\n",
       "      <td>Washington, DC</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1942.0</td>\n",
       "      <td>69.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Princeton University</td>\n",
       "      <td>Princeton, NJ</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>650</th>\n",
       "      <td>1993</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 1993</td>\n",
       "      <td>\"for contributions to the developments of meth...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>278</td>\n",
       "      <td>0</td>\n",
       "      <td>Kary B. Mullis</td>\n",
       "      <td>1944-12-28</td>\n",
       "      <td>Lenoir, NC</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1944.0</td>\n",
       "      <td>49.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>La Jolla, CA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>670</th>\n",
       "      <td>1994</td>\n",
       "      <td>Peace</td>\n",
       "      <td>The Nobel Peace Prize 1994</td>\n",
       "      <td>\"for their efforts to create peace in the Midd...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>559</td>\n",
       "      <td>0</td>\n",
       "      <td>Yitzhak Rabin</td>\n",
       "      <td>1922-03-01</td>\n",
       "      <td>Jerusalem</td>\n",
       "      <td>British Mandate of Palestine (Israel)</td>\n",
       "      <td>1922.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1995-11-04</td>\n",
       "      <td>Tel Aviv</td>\n",
       "      <td>Israel</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>532</th>\n",
       "      <td>1980</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1980</td>\n",
       "      <td>\"for their discoveries concerning genetically ...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>421</td>\n",
       "      <td>0</td>\n",
       "      <td>George D. Snell</td>\n",
       "      <td>1903-12-19</td>\n",
       "      <td>Bradford, MA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1903.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Jackson Laboratory</td>\n",
       "      <td>Bar Harbor, ME</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1996-06-06</td>\n",
       "      <td>Bar Harbor, ME</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>413</th>\n",
       "      <td>1969</td>\n",
       "      <td>Medicine</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1969</td>\n",
       "      <td>\"for their discoveries concerning the replicat...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>391</td>\n",
       "      <td>0</td>\n",
       "      <td>Max Delbrück</td>\n",
       "      <td>1906-09-04</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1906.0</td>\n",
       "      <td>63.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>California Institute of Technology (Caltech)</td>\n",
       "      <td>Pasadena, CA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1981-03-09</td>\n",
       "      <td>Pasadena, CA</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>824</th>\n",
       "      <td>2007</td>\n",
       "      <td>Chemistry</td>\n",
       "      <td>The Nobel Prize in Chemistry 2007</td>\n",
       "      <td>\"for his studies of chemical processes on soli...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>816</td>\n",
       "      <td>0</td>\n",
       "      <td>Gerhard Ertl</td>\n",
       "      <td>1936-10-10</td>\n",
       "      <td>Bad Cannstatt</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1936.0</td>\n",
       "      <td>71.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Fritz-Haber-Institut der Max-Planck-Gesellschaft</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>662</th>\n",
       "      <td>1994</td>\n",
       "      <td>Economics</td>\n",
       "      <td>The Sveriges Riksbank Prize in Economic Scienc...</td>\n",
       "      <td>\"for their pioneering analysis of equilibria i...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>711</td>\n",
       "      <td>0</td>\n",
       "      <td>John C. Harsanyi</td>\n",
       "      <td>1920-05-29</td>\n",
       "      <td>Budapest</td>\n",
       "      <td>Hungary</td>\n",
       "      <td>1920.0</td>\n",
       "      <td>74.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>University of California</td>\n",
       "      <td>Berkeley, CA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>2000-08-09</td>\n",
       "      <td>Berkeley, CA</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year   Category                                              Prize  \\\n",
       "397  1967   Medicine     The Nobel Prize in Physiology or Medicine 1967   \n",
       "669  1994      Peace                         The Nobel Peace Prize 1994   \n",
       "696  1996    Physics                    The Nobel Prize in Physics 1996   \n",
       "885  2011  Economics  The Sveriges Riksbank Prize in Economic Scienc...   \n",
       "650  1993  Chemistry                  The Nobel Prize in Chemistry 1993   \n",
       "670  1994      Peace                         The Nobel Peace Prize 1994   \n",
       "532  1980   Medicine     The Nobel Prize in Physiology or Medicine 1980   \n",
       "413  1969   Medicine     The Nobel Prize in Physiology or Medicine 1969   \n",
       "824  2007  Chemistry                  The Nobel Prize in Chemistry 2007   \n",
       "662  1994  Economics  The Sveriges Riksbank Prize in Economic Scienc...   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "397  \"for their discoveries concerning the primary ...         1/3   \n",
       "669  \"for their efforts to create peace in the Midd...         1/3   \n",
       "696  \"for their discovery of superfluidity in heliu...         1/3   \n",
       "885  \"for their empirical research on cause and eff...         1/2   \n",
       "650  \"for contributions to the developments of meth...         1/2   \n",
       "670  \"for their efforts to create peace in the Midd...         1/3   \n",
       "532  \"for their discoveries concerning genetically ...         1/3   \n",
       "413  \"for their discoveries concerning the replicat...         1/3   \n",
       "824  \"for his studies of chemical processes on soli...         1/1   \n",
       "662  \"for their pioneering analysis of equilibria i...         1/3   \n",
       "\n",
       "     Laureate ID  Laureate Type            Full Name  Birth Date  \\\n",
       "397          385              0        Ragnar Granit  1900-10-30   \n",
       "669          558              0         Shimon Peres  1923-08-16   \n",
       "696          150              0  Douglas D. Osheroff  1945-08-01   \n",
       "885          873              0  Christopher A. Sims  1942-10-21   \n",
       "650          278              0       Kary B. Mullis  1944-12-28   \n",
       "670          559              0        Yitzhak Rabin  1922-03-01   \n",
       "532          421              0      George D. Snell  1903-12-19   \n",
       "413          391              0         Max Delbrück  1906-09-04   \n",
       "824          816              0         Gerhard Ertl  1936-10-10   \n",
       "662          711              0     John C. Harsanyi  1920-05-29   \n",
       "\n",
       "         Birth City                          Birth Country  Birth Year   Age  \\\n",
       "397        Helsinki               Russian Empire (Finland)      1900.0  67.0   \n",
       "669        Vishneva                       Poland (Belarus)      1923.0  71.0   \n",
       "696    Aberdeen, WA               United States of America      1945.0  51.0   \n",
       "885  Washington, DC               United States of America      1942.0  69.0   \n",
       "650      Lenoir, NC               United States of America      1944.0  49.0   \n",
       "670       Jerusalem  British Mandate of Palestine (Israel)      1922.0  72.0   \n",
       "532    Bradford, MA               United States of America      1903.0  77.0   \n",
       "413          Berlin                                Germany      1906.0  63.0   \n",
       "824   Bad Cannstatt                                Germany      1936.0  71.0   \n",
       "662        Budapest                                Hungary      1920.0  74.0   \n",
       "\n",
       "     Sex                                 Organization Name Organization City  \\\n",
       "397  0.0                             Karolinska Institutet         Stockholm   \n",
       "669  0.0                                               NaN               NaN   \n",
       "696  0.0                               Stanford University      Stanford, CA   \n",
       "885  0.0                              Princeton University     Princeton, NJ   \n",
       "650  0.0                                               NaN      La Jolla, CA   \n",
       "670  0.0                                               NaN               NaN   \n",
       "532  0.0                                Jackson Laboratory    Bar Harbor, ME   \n",
       "413  0.0      California Institute of Technology (Caltech)      Pasadena, CA   \n",
       "824  0.0  Fritz-Haber-Institut der Max-Planck-Gesellschaft            Berlin   \n",
       "662  0.0                          University of California      Berkeley, CA   \n",
       "\n",
       "         Organization Country  Death Date      Death City  \\\n",
       "397                    Sweden  1991-03-12       Stockholm   \n",
       "669                       NaN  2016-09-28        Tel Aviv   \n",
       "696  United States of America         NaN             NaN   \n",
       "885  United States of America         NaN             NaN   \n",
       "650  United States of America         NaN             NaN   \n",
       "670                       NaN  1995-11-04        Tel Aviv   \n",
       "532  United States of America  1996-06-06  Bar Harbor, ME   \n",
       "413  United States of America  1981-03-09    Pasadena, CA   \n",
       "824                   Germany         NaN             NaN   \n",
       "662  United States of America  2000-08-09    Berkeley, CA   \n",
       "\n",
       "                Death Country  \n",
       "397                    Sweden  \n",
       "669                    Israel  \n",
       "696                       NaN  \n",
       "885                       NaN  \n",
       "650                       NaN  \n",
       "670                    Israel  \n",
       "532  United States of America  \n",
       "413  United States of America  \n",
       "824                       NaN  \n",
       "662  United States of America  "
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#create the dictionary\n",
    "dict = {'Male' : 0, 'Female' : 1} \n",
    "\n",
    "#convert it into categorical\n",
    "nobel3[\"Sex\"] = nobel3[\"Sex\"].astype('category')  \n",
    "\n",
    "#Remap the values of the dataframe \n",
    "nobel3[\"Sex\"] = nobel3[\"Sex\"].map(dict)\n",
    "\n",
    "nobel3.sample(10)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "For the \"Category\" column, we will examine its unique values and see what we can do with them:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Medicine      211\n",
       "Physics       203\n",
       "Chemistry     173\n",
       "Peace         126\n",
       "Literature    113\n",
       "Economics      78\n",
       "Name: Category, dtype: int64"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nobel3['Category'].value_counts()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We notice that we have only 6 different values. We will try to encode them in order to get rid of the strings. Since there is no notion of ordering among the values, encoding them into numeric values seems to be a bad idea. Instead, we use one hot encoding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>Birth Year</th>\n",
       "      <th>Age</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>275</th>\n",
       "      <td>1952</td>\n",
       "      <td>0</td>\n",
       "      <td>The Nobel Prize in Chemistry 1952</td>\n",
       "      <td>\"for their invention of partition chromatography\"</td>\n",
       "      <td>1/2</td>\n",
       "      <td>215</td>\n",
       "      <td>0</td>\n",
       "      <td>Richard Laurence Millington Synge</td>\n",
       "      <td>1914-10-28</td>\n",
       "      <td>Liverpool</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1914.0</td>\n",
       "      <td>38.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Rowett Research Institute</td>\n",
       "      <td>Bucksburn (Scotland)</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1994-08-18</td>\n",
       "      <td>Norwich</td>\n",
       "      <td>United Kingdom</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>589</th>\n",
       "      <td>1986</td>\n",
       "      <td>5</td>\n",
       "      <td>The Nobel Prize in Physics 1986</td>\n",
       "      <td>\"for their design of the scanning tunneling mi...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>128</td>\n",
       "      <td>0</td>\n",
       "      <td>Gerd Binnig</td>\n",
       "      <td>1947-07-20</td>\n",
       "      <td>Frankfurt-on-the-Main</td>\n",
       "      <td>West Germany (Germany)</td>\n",
       "      <td>1947.0</td>\n",
       "      <td>39.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>IBM Zurich Research Laboratory</td>\n",
       "      <td>Rüschlikon</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>358</th>\n",
       "      <td>1962</td>\n",
       "      <td>5</td>\n",
       "      <td>The Nobel Prize in Physics 1962</td>\n",
       "      <td>\"for his pioneering theories for condensed mat...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>77</td>\n",
       "      <td>0</td>\n",
       "      <td>Lev Davidovich Landau</td>\n",
       "      <td>1908-01-22</td>\n",
       "      <td>Baku</td>\n",
       "      <td>Russian Empire (Azerbaijan)</td>\n",
       "      <td>1908.0</td>\n",
       "      <td>54.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Academy of Sciences</td>\n",
       "      <td>Moscow</td>\n",
       "      <td>Union of Soviet Socialist Republics</td>\n",
       "      <td>1968-04-01</td>\n",
       "      <td>Moscow</td>\n",
       "      <td>Union of Soviet Socialist Republics (Russia)</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155</th>\n",
       "      <td>1930</td>\n",
       "      <td>4</td>\n",
       "      <td>The Nobel Peace Prize 1930</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1/1</td>\n",
       "      <td>495</td>\n",
       "      <td>0</td>\n",
       "      <td>Lars Olof Jonathan (Nathan) Söderblom</td>\n",
       "      <td>1866-01-15</td>\n",
       "      <td>Trönö</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>1866.0</td>\n",
       "      <td>64.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1931-07-12</td>\n",
       "      <td>Uppsala</td>\n",
       "      <td>Sweden</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>472</th>\n",
       "      <td>1975</td>\n",
       "      <td>1</td>\n",
       "      <td>The Sveriges Riksbank Prize in Economic Scienc...</td>\n",
       "      <td>\"for their contributions to the theory of opti...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>687</td>\n",
       "      <td>0</td>\n",
       "      <td>Tjalling C. Koopmans</td>\n",
       "      <td>1910-08-28</td>\n",
       "      <td>'s Graveland</td>\n",
       "      <td>Netherlands</td>\n",
       "      <td>1910.0</td>\n",
       "      <td>65.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Yale University</td>\n",
       "      <td>New Haven, CT</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1985-02-26</td>\n",
       "      <td>New Haven, CT</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>270</th>\n",
       "      <td>1951</td>\n",
       "      <td>3</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1951</td>\n",
       "      <td>\"for his discoveries concerning yellow fever a...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>352</td>\n",
       "      <td>0</td>\n",
       "      <td>Max Theiler</td>\n",
       "      <td>1899-01-30</td>\n",
       "      <td>Pretoria</td>\n",
       "      <td>South Africa</td>\n",
       "      <td>1899.0</td>\n",
       "      <td>52.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Laboratories of the Division of Medicine and P...</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1972-08-11</td>\n",
       "      <td>New Haven, CT</td>\n",
       "      <td>United States of America</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>734</th>\n",
       "      <td>2000</td>\n",
       "      <td>1</td>\n",
       "      <td>The Sveriges Riksbank Prize in Economic Scienc...</td>\n",
       "      <td>\"for his development of theory and methods for...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>732</td>\n",
       "      <td>0</td>\n",
       "      <td>James J. Heckman</td>\n",
       "      <td>1944-04-19</td>\n",
       "      <td>Chicago, IL</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1944.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>University of Chicago</td>\n",
       "      <td>Chicago, IL</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>573</th>\n",
       "      <td>1985</td>\n",
       "      <td>0</td>\n",
       "      <td>The Nobel Prize in Chemistry 1985</td>\n",
       "      <td>\"for their outstanding achievements in the dev...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>263</td>\n",
       "      <td>0</td>\n",
       "      <td>Jerome Karle</td>\n",
       "      <td>1918-06-18</td>\n",
       "      <td>New York, NY</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1918.0</td>\n",
       "      <td>67.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>US Naval Research Laboratory</td>\n",
       "      <td>Washington, DC</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>2013-06-06</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>494</th>\n",
       "      <td>1977</td>\n",
       "      <td>2</td>\n",
       "      <td>The Nobel Prize in Literature 1977</td>\n",
       "      <td>\"for a creative poetic writing which illuminat...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>653</td>\n",
       "      <td>0</td>\n",
       "      <td>Vicente Aleixandre</td>\n",
       "      <td>1898-04-26</td>\n",
       "      <td>Sevilla</td>\n",
       "      <td>Spain</td>\n",
       "      <td>1898.0</td>\n",
       "      <td>79.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1984-12-14</td>\n",
       "      <td>Madrid</td>\n",
       "      <td>Spain</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>929</th>\n",
       "      <td>2013</td>\n",
       "      <td>5</td>\n",
       "      <td>The Nobel Prize in Physics 2013</td>\n",
       "      <td>\"for the theoretical discovery of a mechanism ...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>888</td>\n",
       "      <td>0</td>\n",
       "      <td>Peter W. Higgs</td>\n",
       "      <td>1929-05-29</td>\n",
       "      <td>Newcastle upon Tyne</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1929.0</td>\n",
       "      <td>84.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>University of Edinburgh</td>\n",
       "      <td>Edinburgh</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year  Category                                              Prize  \\\n",
       "275  1952         0                  The Nobel Prize in Chemistry 1952   \n",
       "589  1986         5                    The Nobel Prize in Physics 1986   \n",
       "358  1962         5                    The Nobel Prize in Physics 1962   \n",
       "155  1930         4                         The Nobel Peace Prize 1930   \n",
       "472  1975         1  The Sveriges Riksbank Prize in Economic Scienc...   \n",
       "270  1951         3     The Nobel Prize in Physiology or Medicine 1951   \n",
       "734  2000         1  The Sveriges Riksbank Prize in Economic Scienc...   \n",
       "573  1985         0                  The Nobel Prize in Chemistry 1985   \n",
       "494  1977         2                 The Nobel Prize in Literature 1977   \n",
       "929  2013         5                    The Nobel Prize in Physics 2013   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "275  \"for their invention of partition chromatography\"         1/2   \n",
       "589  \"for their design of the scanning tunneling mi...         1/4   \n",
       "358  \"for his pioneering theories for condensed mat...         1/1   \n",
       "155                                                NaN         1/1   \n",
       "472  \"for their contributions to the theory of opti...         1/2   \n",
       "270  \"for his discoveries concerning yellow fever a...         1/1   \n",
       "734  \"for his development of theory and methods for...         1/2   \n",
       "573  \"for their outstanding achievements in the dev...         1/2   \n",
       "494  \"for a creative poetic writing which illuminat...         1/1   \n",
       "929  \"for the theoretical discovery of a mechanism ...         1/2   \n",
       "\n",
       "     Laureate ID  Laureate Type                              Full Name  \\\n",
       "275          215              0      Richard Laurence Millington Synge   \n",
       "589          128              0                            Gerd Binnig   \n",
       "358           77              0                  Lev Davidovich Landau   \n",
       "155          495              0  Lars Olof Jonathan (Nathan) Söderblom   \n",
       "472          687              0                   Tjalling C. Koopmans   \n",
       "270          352              0                            Max Theiler   \n",
       "734          732              0                       James J. Heckman   \n",
       "573          263              0                           Jerome Karle   \n",
       "494          653              0                     Vicente Aleixandre   \n",
       "929          888              0                         Peter W. Higgs   \n",
       "\n",
       "     Birth Date             Birth City                Birth Country  \\\n",
       "275  1914-10-28              Liverpool               United Kingdom   \n",
       "589  1947-07-20  Frankfurt-on-the-Main       West Germany (Germany)   \n",
       "358  1908-01-22                   Baku  Russian Empire (Azerbaijan)   \n",
       "155  1866-01-15                  Trönö                       Sweden   \n",
       "472  1910-08-28           's Graveland                  Netherlands   \n",
       "270  1899-01-30               Pretoria                 South Africa   \n",
       "734  1944-04-19            Chicago, IL     United States of America   \n",
       "573  1918-06-18           New York, NY     United States of America   \n",
       "494  1898-04-26                Sevilla                        Spain   \n",
       "929  1929-05-29    Newcastle upon Tyne               United Kingdom   \n",
       "\n",
       "     Birth Year   Age  Sex                                  Organization Name  \\\n",
       "275      1914.0  38.0  0.0                          Rowett Research Institute   \n",
       "589      1947.0  39.0  0.0                     IBM Zurich Research Laboratory   \n",
       "358      1908.0  54.0  0.0                                Academy of Sciences   \n",
       "155      1866.0  64.0  0.0                                                NaN   \n",
       "472      1910.0  65.0  0.0                                    Yale University   \n",
       "270      1899.0  52.0  0.0  Laboratories of the Division of Medicine and P...   \n",
       "734      1944.0  56.0  0.0                              University of Chicago   \n",
       "573      1918.0  67.0  0.0                       US Naval Research Laboratory   \n",
       "494      1898.0  79.0  0.0                                                NaN   \n",
       "929      1929.0  84.0  0.0                            University of Edinburgh   \n",
       "\n",
       "        Organization City                 Organization Country  Death Date  \\\n",
       "275  Bucksburn (Scotland)                       United Kingdom  1994-08-18   \n",
       "589            Rüschlikon                          Switzerland         NaN   \n",
       "358                Moscow  Union of Soviet Socialist Republics  1968-04-01   \n",
       "155                   NaN                                  NaN  1931-07-12   \n",
       "472         New Haven, CT             United States of America  1985-02-26   \n",
       "270          New York, NY             United States of America  1972-08-11   \n",
       "734           Chicago, IL             United States of America         NaN   \n",
       "573        Washington, DC             United States of America  2013-06-06   \n",
       "494                   NaN                                  NaN  1984-12-14   \n",
       "929             Edinburgh                       United Kingdom         NaN   \n",
       "\n",
       "        Death City                                 Death Country  \n",
       "275        Norwich                                United Kingdom  \n",
       "589            NaN                                           NaN  \n",
       "358         Moscow  Union of Soviet Socialist Republics (Russia)  \n",
       "155        Uppsala                                        Sweden  \n",
       "472  New Haven, CT                      United States of America  \n",
       "270  New Haven, CT                      United States of America  \n",
       "734            NaN                                           NaN  \n",
       "573            NaN                                           NaN  \n",
       "494         Madrid                                         Spain  \n",
       "929            NaN                                           NaN  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#first we label them using numerical encoding\n",
    "\n",
    "from sklearn.preprocessing import LabelEncoder\n",
    "\n",
    "labelEncoder = LabelEncoder()\n",
    "\n",
    "nobel3['Category'] = labelEncoder.fit_transform(nobel3['Category'])\n",
    "\n",
    "nobel3.sample(10)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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>Organization Country</th>\n",
       "      <th>Death Date</th>\n",
       "      <th>Death City</th>\n",
       "      <th>Death Country</th>\n",
       "      <th>Chemistry</th>\n",
       "      <th>Economics</th>\n",
       "      <th>Literature</th>\n",
       "      <th>Medicine</th>\n",
       "      <th>Peace</th>\n",
       "      <th>Physics</th>\n",
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       "  <tbody>\n",
       "    <tr>\n",
       "      <th>579</th>\n",
       "      <td>1990</td>\n",
       "      <td>0</td>\n",
       "      <td>The Nobel Prize in Chemistry 1990</td>\n",
       "      <td>\"for his development of the theory and methodo...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>275</td>\n",
       "      <td>0</td>\n",
       "      <td>Elias James Corey</td>\n",
       "      <td>1928-07-12</td>\n",
       "      <td>Methuen, MA</td>\n",
       "      <td>...</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>690</th>\n",
       "      <td>2000</td>\n",
       "      <td>5</td>\n",
       "      <td>The Nobel Prize in Physics 2000</td>\n",
       "      <td>\"for basic work on information and communicati...</td>\n",
       "      <td>1/4</td>\n",
       "      <td>727</td>\n",
       "      <td>0</td>\n",
       "      <td>Herbert Kroemer</td>\n",
       "      <td>1928-08-25</td>\n",
       "      <td>Weimar</td>\n",
       "      <td>...</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99</th>\n",
       "      <td>1921</td>\n",
       "      <td>2</td>\n",
       "      <td>The Nobel Prize in Literature 1921</td>\n",
       "      <td>\"in recognition of his brilliant literary achi...</td>\n",
       "      <td>1/1</td>\n",
       "      <td>590</td>\n",
       "      <td>0</td>\n",
       "      <td>Anatole France</td>\n",
       "      <td>1844-04-16</td>\n",
       "      <td>Paris</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1924-10-12</td>\n",
       "      <td>Saint-Cyr-sur-Loire</td>\n",
       "      <td>France</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>344</th>\n",
       "      <td>1964</td>\n",
       "      <td>3</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1964</td>\n",
       "      <td>\"for their discoveries concerning the mechanis...</td>\n",
       "      <td>1/2</td>\n",
       "      <td>379</td>\n",
       "      <td>0</td>\n",
       "      <td>Feodor Lynen</td>\n",
       "      <td>1911-04-06</td>\n",
       "      <td>Munich</td>\n",
       "      <td>...</td>\n",
       "      <td>Federal Republic of Germany</td>\n",
       "      <td>1979-08-06</td>\n",
       "      <td>Munich</td>\n",
       "      <td>Germany</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>485</th>\n",
       "      <td>1979</td>\n",
       "      <td>5</td>\n",
       "      <td>The Nobel Prize in Physics 1979</td>\n",
       "      <td>\"for their contributions to the theory of the ...</td>\n",
       "      <td>1/3</td>\n",
       "      <td>114</td>\n",
       "      <td>0</td>\n",
       "      <td>Abdus Salam</td>\n",
       "      <td>1926-01-29</td>\n",
       "      <td>Jhang Maghi&amp;#257;na</td>\n",
       "      <td>...</td>\n",
       "      <td>Italy</td>\n",
       "      <td>1996-11-21</td>\n",
       "      <td>Oxford</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year  Category                                           Prize  \\\n",
       "579  1990         0               The Nobel Prize in Chemistry 1990   \n",
       "690  2000         5                 The Nobel Prize in Physics 2000   \n",
       "99   1921         2              The Nobel Prize in Literature 1921   \n",
       "344  1964         3  The Nobel Prize in Physiology or Medicine 1964   \n",
       "485  1979         5                 The Nobel Prize in Physics 1979   \n",
       "\n",
       "                                            Motivation Prize Share  \\\n",
       "579  \"for his development of the theory and methodo...         1/1   \n",
       "690  \"for basic work on information and communicati...         1/4   \n",
       "99   \"in recognition of his brilliant literary achi...         1/1   \n",
       "344  \"for their discoveries concerning the mechanis...         1/2   \n",
       "485  \"for their contributions to the theory of the ...         1/3   \n",
       "\n",
       "     Laureate ID  Laureate Type          Full Name  Birth Date  \\\n",
       "579          275              0  Elias James Corey  1928-07-12   \n",
       "690          727              0    Herbert Kroemer  1928-08-25   \n",
       "99           590              0     Anatole France  1844-04-16   \n",
       "344          379              0       Feodor Lynen  1911-04-06   \n",
       "485          114              0        Abdus Salam  1926-01-29   \n",
       "\n",
       "              Birth City  ...         Organization Country  Death Date  \\\n",
       "579          Methuen, MA  ...     United States of America         NaN   \n",
       "690               Weimar  ...     United States of America         NaN   \n",
       "99                 Paris  ...                          NaN  1924-10-12   \n",
       "344               Munich  ...  Federal Republic of Germany  1979-08-06   \n",
       "485  Jhang Maghi&#257;na  ...                        Italy  1996-11-21   \n",
       "\n",
       "              Death City   Death Country Chemistry Economics Literature  \\\n",
       "579                  NaN             NaN       1.0       0.0        0.0   \n",
       "690                  NaN             NaN       0.0       0.0        0.0   \n",
       "99   Saint-Cyr-sur-Loire          France       0.0       0.0        1.0   \n",
       "344               Munich         Germany       0.0       0.0        0.0   \n",
       "485               Oxford  United Kingdom       0.0       0.0        0.0   \n",
       "\n",
       "    Medicine Peace Physics  \n",
       "579      0.0   0.0     0.0  \n",
       "690      0.0   0.0     1.0  \n",
       "99       0.0   0.0     0.0  \n",
       "344      1.0   0.0     0.0  \n",
       "485      0.0   0.0     1.0  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#We notice that the encoding is as follows:\n",
    "# 0=Chemistry, 1=Economics, 2=Literature, 3=Medicine, 4=Peace, 5=Physics\n",
    "\n",
    "#Now we proceed to transforming the encoding into one hot\n",
    "\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "oneHotEncoder = OneHotEncoder()\n",
    "oh = oneHotEncoder.fit_transform(nobel3['Category'].values.reshape(-1,1)).toarray()\n",
    "\n",
    "dfOneHot = pd.DataFrame(oh, columns = [\"Chemistry\", \"Economics\", \"Literature\", \"Medicine\", \"Peace\", \"Physics\"])\n",
    "df = pd.get_dummies(dfOneHot)\n",
    "\n",
    "nobel3.reset_index(drop=True, inplace=True)\n",
    "df.reset_index(drop=True, inplace=True)\n",
    "\n",
    "nobel4 = pd.concat([nobel3, df], axis=1)\n",
    "\n",
    "nobel4.sample(5)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now turn to the Prize share column, we check if there are any null values, and try to encode it since previously we saw it is of type object. First we parse the string to encode it into numeric value. Then we do the one hot encoding."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 28,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "nobel4['Prize Share'].isnull().sum()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Since there are no null values, we proceed to splitting it using the \"/\" and encode it into numeric values. We want to find wether the share is always 1/something. If so, we parse it to discard the 1 and keep the number, where our encoding now means that if for example the value of prize share is 3, it implicitly means 1/3. "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "904"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#split the date using \"/\" and store the result in 2 columns in a new dataframe df\n",
    "df = pd.DataFrame()\n",
    "df[ ['1','Prize Share'] ] =  nobel4['Prize Share'].str.split(\"/\", expand=True)\n",
    "\n",
    "#display the part before \"/\"\n",
    "df['1'] = df['1'].astype(int)\n",
    "df['1'].sum()\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now since the part before \"/\" is actually always 1 (sum is 904 = number of records), we proceed with encoding the column."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<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>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>...</th>\n",
       "      <th>Death Date</th>\n",
       "      <th>Death City</th>\n",
       "      <th>Death Country</th>\n",
       "      <th>Chemistry</th>\n",
       "      <th>Economics</th>\n",
       "      <th>Literature</th>\n",
       "      <th>Medicine</th>\n",
       "      <th>Peace</th>\n",
       "      <th>Physics</th>\n",
       "      <th>Prize Share</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1901</td>\n",
       "      <td>0</td>\n",
       "      <td>The Nobel Prize in Chemistry 1901</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>160</td>\n",
       "      <td>0</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>...</td>\n",
       "      <td>1911-03-01</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1901</td>\n",
       "      <td>2</td>\n",
       "      <td>The Nobel Prize in Literature 1901</td>\n",
       "      <td>\"in special recognition of his poetic composit...</td>\n",
       "      <td>569</td>\n",
       "      <td>0</td>\n",
       "      <td>Sully Prudhomme</td>\n",
       "      <td>1839-03-16</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>...</td>\n",
       "      <td>1907-09-07</td>\n",
       "      <td>Châtenay</td>\n",
       "      <td>France</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1901</td>\n",
       "      <td>3</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>293</td>\n",
       "      <td>0</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>...</td>\n",
       "      <td>1917-03-31</td>\n",
       "      <td>Marburg</td>\n",
       "      <td>Germany</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1901</td>\n",
       "      <td>4</td>\n",
       "      <td>The Nobel Peace Prize 1901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>462</td>\n",
       "      <td>0</td>\n",
       "      <td>Jean Henry Dunant</td>\n",
       "      <td>1828-05-08</td>\n",
       "      <td>Geneva</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>...</td>\n",
       "      <td>1910-10-30</td>\n",
       "      <td>Heiden</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1901</td>\n",
       "      <td>4</td>\n",
       "      <td>The Nobel Peace Prize 1901</td>\n",
       "      <td>NaN</td>\n",
       "      <td>463</td>\n",
       "      <td>0</td>\n",
       "      <td>Frédéric Passy</td>\n",
       "      <td>1822-05-20</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>...</td>\n",
       "      <td>1912-06-12</td>\n",
       "      <td>Paris</td>\n",
       "      <td>France</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 26 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   Year  Category                                           Prize  \\\n",
       "0  1901         0               The Nobel Prize in Chemistry 1901   \n",
       "1  1901         2              The Nobel Prize in Literature 1901   \n",
       "2  1901         3  The Nobel Prize in Physiology or Medicine 1901   \n",
       "3  1901         4                      The Nobel Peace Prize 1901   \n",
       "4  1901         4                      The Nobel Peace Prize 1901   \n",
       "\n",
       "                                          Motivation  Laureate ID  \\\n",
       "0  \"in recognition of the extraordinary services ...          160   \n",
       "1  \"in special recognition of his poetic composit...          569   \n",
       "2  \"for his work on serum therapy, especially its...          293   \n",
       "3                                                NaN          462   \n",
       "4                                                NaN          463   \n",
       "\n",
       "   Laureate Type                     Full Name  Birth Date         Birth City  \\\n",
       "0              0  Jacobus Henricus van 't Hoff  1852-08-30          Rotterdam   \n",
       "1              0               Sully Prudhomme  1839-03-16              Paris   \n",
       "2              0        Emil Adolf von Behring  1854-03-15  Hansdorf (Lawice)   \n",
       "3              0             Jean Henry Dunant  1828-05-08             Geneva   \n",
       "4              0                Frédéric Passy  1822-05-20              Paris   \n",
       "\n",
       "      Birth Country  ...  Death Date  Death City  Death Country Chemistry  \\\n",
       "0       Netherlands  ...  1911-03-01      Berlin        Germany       1.0   \n",
       "1            France  ...  1907-09-07    Châtenay         France       0.0   \n",
       "2  Prussia (Poland)  ...  1917-03-31     Marburg        Germany       0.0   \n",
       "3       Switzerland  ...  1910-10-30      Heiden    Switzerland       0.0   \n",
       "4            France  ...  1912-06-12       Paris         France       0.0   \n",
       "\n",
       "  Economics Literature Medicine Peace Physics  Prize Share  \n",
       "0       0.0        0.0      0.0   0.0     0.0            1  \n",
       "1       0.0        1.0      0.0   0.0     0.0            1  \n",
       "2       0.0        0.0      1.0   0.0     0.0            1  \n",
       "3       0.0        0.0      0.0   1.0     0.0            2  \n",
       "4       0.0        0.0      0.0   1.0     0.0            2  \n",
       "\n",
       "[5 rows x 26 columns]"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#drop 1 and keep Prize Share only\n",
    "df = df.drop(['1'], axis=1)\n",
    "\n",
    "#drop the old prize share column from the dataframe\n",
    "nobel4 = nobel4.drop(['Prize Share'], axis=1)\n",
    "\n",
    "#concat the new prize share column to the dataframe\n",
    "nobel5 = pd.concat([nobel4, df], axis=1)\n",
    "\n",
    "#convert it into int\n",
    "nobel5['Prize Share'] = nobel5['Prize Share'].astype(int)\n",
    "\n",
    "#now 1 means 1/1, 2 means 1/2, 3 means 1/3 and 4 means 1/4\n",
    "nobel5.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
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       "<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>Laureate ID</th>\n",
       "      <th>Laureate Type</th>\n",
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       "      <th>Birth Date</th>\n",
       "      <th>Birth City</th>\n",
       "      <th>Birth Country</th>\n",
       "      <th>...</th>\n",
       "      <th>Economics</th>\n",
       "      <th>Literature</th>\n",
       "      <th>Medicine</th>\n",
       "      <th>Peace</th>\n",
       "      <th>Physics</th>\n",
       "      <th>Prize Share</th>\n",
       "      <th>Share 1/1</th>\n",
       "      <th>Share 1/2</th>\n",
       "      <th>Share 1/3</th>\n",
       "      <th>Share 1/4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>335</th>\n",
       "      <td>1963</td>\n",
       "      <td>3</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1963</td>\n",
       "      <td>\"for their discoveries concerning the ionic me...</td>\n",
       "      <td>375</td>\n",
       "      <td>0</td>\n",
       "      <td>Sir John Carew Eccles</td>\n",
       "      <td>1903-01-27</td>\n",
       "      <td>Melbourne</td>\n",
       "      <td>Australia</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>186</th>\n",
       "      <td>1937</td>\n",
       "      <td>0</td>\n",
       "      <td>The Nobel Prize in Chemistry 1937</td>\n",
       "      <td>\"for his investigations on carbohydrates and v...</td>\n",
       "      <td>196</td>\n",
       "      <td>0</td>\n",
       "      <td>Walter Norman Haworth</td>\n",
       "      <td>1883-03-19</td>\n",
       "      <td>Chorley</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>679</th>\n",
       "      <td>2000</td>\n",
       "      <td>0</td>\n",
       "      <td>The Nobel Prize in Chemistry 2000</td>\n",
       "      <td>\"for the discovery and development of conducti...</td>\n",
       "      <td>729</td>\n",
       "      <td>0</td>\n",
       "      <td>Alan J. Heeger</td>\n",
       "      <td>1936-01-22</td>\n",
       "      <td>Sioux City, IA</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>1905</td>\n",
       "      <td>3</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1905</td>\n",
       "      <td>\"for his investigations and discoveries in rel...</td>\n",
       "      <td>297</td>\n",
       "      <td>0</td>\n",
       "      <td>Robert Koch</td>\n",
       "      <td>1843-12-11</td>\n",
       "      <td>Clausthal (Clausthal-Zellerfeld)</td>\n",
       "      <td>Germany</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65</th>\n",
       "      <td>1912</td>\n",
       "      <td>0</td>\n",
       "      <td>The Nobel Prize in Chemistry 1912</td>\n",
       "      <td>\"for the discovery of the so-called Grignard r...</td>\n",
       "      <td>172</td>\n",
       "      <td>0</td>\n",
       "      <td>Victor Grignard</td>\n",
       "      <td>1871-05-06</td>\n",
       "      <td>Cherbourg</td>\n",
       "      <td>France</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>57</th>\n",
       "      <td>1910</td>\n",
       "      <td>2</td>\n",
       "      <td>The Nobel Prize in Literature 1910</td>\n",
       "      <td>\"as a tribute to the consummate artistry, perm...</td>\n",
       "      <td>580</td>\n",
       "      <td>0</td>\n",
       "      <td>Paul Johann Ludwig Heyse</td>\n",
       "      <td>1830-03-15</td>\n",
       "      <td>Berlin</td>\n",
       "      <td>Prussia (Germany)</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>144</th>\n",
       "      <td>1929</td>\n",
       "      <td>3</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1929</td>\n",
       "      <td>\"for his discovery of the growth-stimulating v...</td>\n",
       "      <td>320</td>\n",
       "      <td>0</td>\n",
       "      <td>Sir Frederick Gowland Hopkins</td>\n",
       "      <td>1861-06-20</td>\n",
       "      <td>Eastbourne</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>120</th>\n",
       "      <td>1925</td>\n",
       "      <td>4</td>\n",
       "      <td>The Nobel Peace Prize 1925</td>\n",
       "      <td>NaN</td>\n",
       "      <td>489</td>\n",
       "      <td>0</td>\n",
       "      <td>Charles Gates Dawes</td>\n",
       "      <td>1865-08-27</td>\n",
       "      <td>Marietta, OH</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>2</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>503</th>\n",
       "      <td>1981</td>\n",
       "      <td>3</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1981</td>\n",
       "      <td>\"for their discoveries concerning information ...</td>\n",
       "      <td>424</td>\n",
       "      <td>0</td>\n",
       "      <td>Torsten N. Wiesel</td>\n",
       "      <td>1924-06-03</td>\n",
       "      <td>Uppsala</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>4</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>213</th>\n",
       "      <td>1945</td>\n",
       "      <td>3</td>\n",
       "      <td>The Nobel Prize in Physiology or Medicine 1945</td>\n",
       "      <td>\"for the discovery of penicillin and its curat...</td>\n",
       "      <td>339</td>\n",
       "      <td>0</td>\n",
       "      <td>Sir Alexander Fleming</td>\n",
       "      <td>1881-08-06</td>\n",
       "      <td>Lochfield</td>\n",
       "      <td>Scotland</td>\n",
       "      <td>...</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>3</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>10 rows × 30 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year  Category                                           Prize  \\\n",
       "335  1963         3  The Nobel Prize in Physiology or Medicine 1963   \n",
       "186  1937         0               The Nobel Prize in Chemistry 1937   \n",
       "679  2000         0               The Nobel Prize in Chemistry 2000   \n",
       "27   1905         3  The Nobel Prize in Physiology or Medicine 1905   \n",
       "65   1912         0               The Nobel Prize in Chemistry 1912   \n",
       "57   1910         2              The Nobel Prize in Literature 1910   \n",
       "144  1929         3  The Nobel Prize in Physiology or Medicine 1929   \n",
       "120  1925         4                      The Nobel Peace Prize 1925   \n",
       "503  1981         3  The Nobel Prize in Physiology or Medicine 1981   \n",
       "213  1945         3  The Nobel Prize in Physiology or Medicine 1945   \n",
       "\n",
       "                                            Motivation  Laureate ID  \\\n",
       "335  \"for their discoveries concerning the ionic me...          375   \n",
       "186  \"for his investigations on carbohydrates and v...          196   \n",
       "679  \"for the discovery and development of conducti...          729   \n",
       "27   \"for his investigations and discoveries in rel...          297   \n",
       "65   \"for the discovery of the so-called Grignard r...          172   \n",
       "57   \"as a tribute to the consummate artistry, perm...          580   \n",
       "144  \"for his discovery of the growth-stimulating v...          320   \n",
       "120                                                NaN          489   \n",
       "503  \"for their discoveries concerning information ...          424   \n",
       "213  \"for the discovery of penicillin and its curat...          339   \n",
       "\n",
       "     Laureate Type                      Full Name  Birth Date  \\\n",
       "335              0          Sir John Carew Eccles  1903-01-27   \n",
       "186              0          Walter Norman Haworth  1883-03-19   \n",
       "679              0                 Alan J. Heeger  1936-01-22   \n",
       "27               0                    Robert Koch  1843-12-11   \n",
       "65               0                Victor Grignard  1871-05-06   \n",
       "57               0       Paul Johann Ludwig Heyse  1830-03-15   \n",
       "144              0  Sir Frederick Gowland Hopkins  1861-06-20   \n",
       "120              0            Charles Gates Dawes  1865-08-27   \n",
       "503              0              Torsten N. Wiesel  1924-06-03   \n",
       "213              0          Sir Alexander Fleming  1881-08-06   \n",
       "\n",
       "                           Birth City             Birth Country  ...  \\\n",
       "335                         Melbourne                 Australia  ...   \n",
       "186                           Chorley            United Kingdom  ...   \n",
       "679                    Sioux City, IA  United States of America  ...   \n",
       "27   Clausthal (Clausthal-Zellerfeld)                   Germany  ...   \n",
       "65                          Cherbourg                    France  ...   \n",
       "57                             Berlin         Prussia (Germany)  ...   \n",
       "144                        Eastbourne            United Kingdom  ...   \n",
       "120                      Marietta, OH  United States of America  ...   \n",
       "503                           Uppsala                    Sweden  ...   \n",
       "213                         Lochfield                  Scotland  ...   \n",
       "\n",
       "     Economics  Literature  Medicine Peace Physics Prize Share Share 1/1  \\\n",
       "335        0.0         0.0       1.0   0.0     0.0           3       0.0   \n",
       "186        0.0         0.0       0.0   0.0     0.0           2       0.0   \n",
       "679        0.0         0.0       0.0   0.0     0.0           3       0.0   \n",
       "27         0.0         0.0       1.0   0.0     0.0           1       1.0   \n",
       "65         0.0         0.0       0.0   0.0     0.0           2       0.0   \n",
       "57         0.0         1.0       0.0   0.0     0.0           1       1.0   \n",
       "144        0.0         0.0       1.0   0.0     0.0           2       0.0   \n",
       "120        0.0         0.0       0.0   1.0     0.0           2       0.0   \n",
       "503        0.0         0.0       1.0   0.0     0.0           4       0.0   \n",
       "213        0.0         0.0       1.0   0.0     0.0           3       0.0   \n",
       "\n",
       "    Share 1/2 Share 1/3  Share 1/4  \n",
       "335       0.0       1.0        0.0  \n",
       "186       1.0       0.0        0.0  \n",
       "679       0.0       1.0        0.0  \n",
       "27        0.0       0.0        0.0  \n",
       "65        1.0       0.0        0.0  \n",
       "57        0.0       0.0        0.0  \n",
       "144       1.0       0.0        0.0  \n",
       "120       1.0       0.0        0.0  \n",
       "503       0.0       0.0        1.0  \n",
       "213       0.0       1.0        0.0  \n",
       "\n",
       "[10 rows x 30 columns]"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Now we proceed to transforming the encoding into one hot\n",
    "\n",
    "from sklearn.preprocessing import OneHotEncoder\n",
    "\n",
    "oneHotEncoder = OneHotEncoder()\n",
    "oh = oneHotEncoder.fit_transform(nobel5['Prize Share'].values.reshape(-1,1)).toarray()\n",
    "\n",
    "dfOneHot = pd.DataFrame(oh, columns = [\"Share 1/1\", \"Share 1/2\", \"Share 1/3\", \"Share 1/4\"])\n",
    "df = pd.get_dummies(dfOneHot)\n",
    "\n",
    "nobel5.reset_index(drop=True, inplace=True)\n",
    "df.reset_index(drop=True, inplace=True)\n",
    "\n",
    "nobel6 = pd.concat([nobel5, df], axis=1)\n",
    "nobel6.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "        vertical-align: top;\n",
       "    }\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>Motivation</th>\n",
       "      <th>Laureate ID</th>\n",
       "      <th>Laureate Type</th>\n",
       "      <th>Full Name</th>\n",
       "      <th>Birth Country</th>\n",
       "      <th>Birth Year</th>\n",
       "      <th>Age</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Organization Name</th>\n",
       "      <th>Chemistry</th>\n",
       "      <th>Economics</th>\n",
       "      <th>Literature</th>\n",
       "      <th>Medicine</th>\n",
       "      <th>Peace</th>\n",
       "      <th>Physics</th>\n",
       "      <th>Share 1/1</th>\n",
       "      <th>Share 1/2</th>\n",
       "      <th>Share 1/3</th>\n",
       "      <th>Share 1/4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>763</th>\n",
       "      <td>2007</td>\n",
       "      <td>\"for having laid the foundations of mechanism ...</td>\n",
       "      <td>820</td>\n",
       "      <td>0</td>\n",
       "      <td>Leonid Hurwicz</td>\n",
       "      <td>Russia</td>\n",
       "      <td>1917.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>University of Minnesota</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>578</th>\n",
       "      <td>1989</td>\n",
       "      <td>\"for the development of the ion trap technique\"</td>\n",
       "      <td>137</td>\n",
       "      <td>0</td>\n",
       "      <td>Wolfgang Paul</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1913.0</td>\n",
       "      <td>76.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>University of Bonn</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>558</th>\n",
       "      <td>1987</td>\n",
       "      <td>\"for their important break-through in the disc...</td>\n",
       "      <td>131</td>\n",
       "      <td>0</td>\n",
       "      <td>K. Alexander Müller</td>\n",
       "      <td>Switzerland</td>\n",
       "      <td>1927.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>IBM Zurich Research Laboratory</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>726</th>\n",
       "      <td>2003</td>\n",
       "      <td>\"for her efforts for democracy and human right...</td>\n",
       "      <td>773</td>\n",
       "      <td>0</td>\n",
       "      <td>Shirin Ebadi</td>\n",
       "      <td>Iran</td>\n",
       "      <td>1947.0</td>\n",
       "      <td>56.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>672</th>\n",
       "      <td>1998</td>\n",
       "      <td>\"for their discovery of a new form of quantum ...</td>\n",
       "      <td>157</td>\n",
       "      <td>0</td>\n",
       "      <td>Daniel C. Tsui</td>\n",
       "      <td>China</td>\n",
       "      <td>1939.0</td>\n",
       "      <td>59.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Princeton University</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>599</th>\n",
       "      <td>1992</td>\n",
       "      <td>\"for their discoveries concerning reversible p...</td>\n",
       "      <td>446</td>\n",
       "      <td>0</td>\n",
       "      <td>Edmond H. Fischer</td>\n",
       "      <td>China</td>\n",
       "      <td>1920.0</td>\n",
       "      <td>72.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>University of Washington</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>685</th>\n",
       "      <td>2000</td>\n",
       "      <td>\"for their discoveries concerning signal trans...</td>\n",
       "      <td>722</td>\n",
       "      <td>0</td>\n",
       "      <td>Arvid Carlsson</td>\n",
       "      <td>Sweden</td>\n",
       "      <td>1923.0</td>\n",
       "      <td>77.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Göteborg University</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>162</th>\n",
       "      <td>1932</td>\n",
       "      <td>\"for the creation of quantum mechanics, the ap...</td>\n",
       "      <td>38</td>\n",
       "      <td>0</td>\n",
       "      <td>Werner Karl Heisenberg</td>\n",
       "      <td>Germany</td>\n",
       "      <td>1901.0</td>\n",
       "      <td>31.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>Leipzig University</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>489</th>\n",
       "      <td>1980</td>\n",
       "      <td>\"for the creation of econometric models and th...</td>\n",
       "      <td>694</td>\n",
       "      <td>0</td>\n",
       "      <td>Lawrence R. Klein</td>\n",
       "      <td>United States of America</td>\n",
       "      <td>1920.0</td>\n",
       "      <td>60.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>University of Pennsylvania</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>608</th>\n",
       "      <td>1993</td>\n",
       "      <td>\"for their discoveries of split genes\"</td>\n",
       "      <td>448</td>\n",
       "      <td>0</td>\n",
       "      <td>Richard J. Roberts</td>\n",
       "      <td>United Kingdom</td>\n",
       "      <td>1943.0</td>\n",
       "      <td>50.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>New England Biolabs</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year                                         Motivation  Laureate ID  \\\n",
       "763  2007  \"for having laid the foundations of mechanism ...          820   \n",
       "578  1989    \"for the development of the ion trap technique\"          137   \n",
       "558  1987  \"for their important break-through in the disc...          131   \n",
       "726  2003  \"for her efforts for democracy and human right...          773   \n",
       "672  1998  \"for their discovery of a new form of quantum ...          157   \n",
       "599  1992  \"for their discoveries concerning reversible p...          446   \n",
       "685  2000  \"for their discoveries concerning signal trans...          722   \n",
       "162  1932  \"for the creation of quantum mechanics, the ap...           38   \n",
       "489  1980  \"for the creation of econometric models and th...          694   \n",
       "608  1993             \"for their discoveries of split genes\"          448   \n",
       "\n",
       "     Laureate Type               Full Name             Birth Country  \\\n",
       "763              0          Leonid Hurwicz                    Russia   \n",
       "578              0           Wolfgang Paul                   Germany   \n",
       "558              0     K. Alexander Müller               Switzerland   \n",
       "726              0            Shirin Ebadi                      Iran   \n",
       "672              0          Daniel C. Tsui                     China   \n",
       "599              0       Edmond H. Fischer                     China   \n",
       "685              0          Arvid Carlsson                    Sweden   \n",
       "162              0  Werner Karl Heisenberg                   Germany   \n",
       "489              0       Lawrence R. Klein  United States of America   \n",
       "608              0      Richard J. Roberts            United Kingdom   \n",
       "\n",
       "     Birth Year   Age  Sex               Organization Name  Chemistry  \\\n",
       "763      1917.0  90.0  0.0         University of Minnesota        0.0   \n",
       "578      1913.0  76.0  0.0              University of Bonn        0.0   \n",
       "558      1927.0  60.0  0.0  IBM Zurich Research Laboratory        0.0   \n",
       "726      1947.0  56.0  1.0                             NaN        0.0   \n",
       "672      1939.0  59.0  0.0            Princeton University        0.0   \n",
       "599      1920.0  72.0  0.0        University of Washington        0.0   \n",
       "685      1923.0  77.0  0.0             Göteborg University        0.0   \n",
       "162      1901.0  31.0  0.0              Leipzig University        0.0   \n",
       "489      1920.0  60.0  0.0      University of Pennsylvania        0.0   \n",
       "608      1943.0  50.0  0.0             New England Biolabs        0.0   \n",
       "\n",
       "     Economics  Literature  Medicine  Peace  Physics  Share 1/1  Share 1/2  \\\n",
       "763        1.0         0.0       0.0    0.0      0.0        0.0        0.0   \n",
       "578        0.0         0.0       0.0    0.0      1.0        0.0        0.0   \n",
       "558        0.0         0.0       0.0    0.0      1.0        0.0        1.0   \n",
       "726        0.0         0.0       0.0    1.0      0.0        1.0        0.0   \n",
       "672        0.0         0.0       0.0    0.0      1.0        0.0        0.0   \n",
       "599        0.0         0.0       1.0    0.0      0.0        0.0        1.0   \n",
       "685        0.0         0.0       1.0    0.0      0.0        0.0        0.0   \n",
       "162        0.0         0.0       0.0    0.0      1.0        1.0        0.0   \n",
       "489        1.0         0.0       0.0    0.0      0.0        1.0        0.0   \n",
       "608        0.0         0.0       1.0    0.0      0.0        0.0        1.0   \n",
       "\n",
       "     Share 1/3  Share 1/4  \n",
       "763        1.0        0.0  \n",
       "578        0.0        1.0  \n",
       "558        0.0        0.0  \n",
       "726        0.0        0.0  \n",
       "672        1.0        0.0  \n",
       "599        0.0        0.0  \n",
       "685        1.0        0.0  \n",
       "162        0.0        0.0  \n",
       "489        0.0        0.0  \n",
       "608        0.0        0.0  "
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#drop the columns we don't need\n",
    "nobel_cleaned = nobel6.drop(['Prize Share', 'Category', 'Prize', 'Birth Date', 'Birth City' ,'Death Date', 'Death Country', 'Death City','Organization City', 'Organization Country'], axis=1)\n",
    "nobel_cleaned.sample(10)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "nobel_cleaned.to_csv('nobel_data_cleaned.csv', index= None) "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 2. Data Visualization:    \n",
    "\n",
    "Now that we are done with cleaning our data we proceed to creating the visualizations and answering our target questions\n",
    "\n",
    "Firstly, we would like to examine the average age of a nobel prize winner within each field. We start by getting the subset of the dataframe which contains individuals only (since we are interested in the age now), them grouping the resulting dataframe according to the field. Within each field we get the number of won prizes and average age.\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Number of Rows in pyhsics :  203\n",
      "Number of Rows in chem :  173\n",
      "Number of Rows in econ :  78\n",
      "Number of Rows in liter :  113\n",
      "Number of Rows in med :  211\n",
      "Number of Rows in peace :  103\n"
     ]
    }
   ],
   "source": [
    "ind = nobel_cleaned.loc[nobel_cleaned['Laureate Type'] == 0]\n",
    "\n",
    "phys = ind.loc[nobel_cleaned['Physics'] == 1]\n",
    "chem = ind.loc[nobel_cleaned['Chemistry'] == 1]\n",
    "econ = ind.loc[nobel_cleaned['Economics'] == 1]\n",
    "liter = ind.loc[nobel_cleaned['Literature'] == 1]\n",
    "med = ind.loc[nobel_cleaned['Medicine'] == 1]\n",
    "peace = ind.loc[nobel_cleaned['Peace'] == 1]\n",
    "\n",
    "\n",
    "#we get the number of won prizes in each field \n",
    "numOfRows = phys.shape[0]\n",
    "print('Number of Rows in pyhsics : ' , numOfRows)\n",
    "numOfRows = chem.shape[0]\n",
    "print('Number of Rows in chem : ' , numOfRows)\n",
    "numOfRows = econ.shape[0]\n",
    "print('Number of Rows in econ : ' , numOfRows)\n",
    "numOfRows = liter.shape[0]\n",
    "print('Number of Rows in liter : ' , numOfRows)\n",
    "numOfRows = med.shape[0]\n",
    "print('Number of Rows in med : ' , numOfRows)\n",
    "numOfRows = peace.shape[0]\n",
    "print('Number of Rows in peace : ' , numOfRows)\n",
    "\n",
    "phys_avg_age = (phys['Age'].sum() / phys.shape[0]).astype(int)\n",
    "chem_avg_age = (chem['Age'].sum() / chem.shape[0]).astype(int)\n",
    "econ_avg_age = (econ['Age'].sum() / econ.shape[0]).astype(int)\n",
    "liter_avg_age = (liter['Age'].sum() / liter.shape[0]).astype(int)\n",
    "med_avg_age = (med['Age'].sum() / med.shape[0]).astype(int)\n",
    "peace_avg_age = (peace['Age'].sum() / peace.shape[0]).astype(int)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We can notice here that the hieghest number of won prizes is in the medicine field"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we plot the field vs. avg age as a bar chart."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7faa89358>"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "avg_age = [('Physics',phys_avg_age), ('Chemistry', chem_avg_age), ('Economics', econ_avg_age), \n",
    "           ('Literature', liter_avg_age), ('Medicine', med_avg_age), ('Peace', peace_avg_age)] \n",
    "\n",
    "avg_age_dist = pd.DataFrame(avg_age,columns=['Field', 'Average Age'])\n",
    "\n",
    "avg_age_dist = avg_age_dist.set_index('Field')\n",
    "avg_age_dist.plot.bar(rot=45)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We now plot the relation between the age and the number of winners as a scatter plot in order to investigate the relationship."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Create data\n",
    "df = pd.DataFrame(columns=['Age', 'Freq'])\n",
    "df = ind['Age'].value_counts()\n",
    "\n",
    "x = np.arange(1,101).astype(int)\n",
    "y = np.zeros(shape=(100)).astype(int)\n",
    "for item in df.iteritems(): \n",
    "    index = int(item[0])\n",
    "    y[index] = item[1]\n",
    "\n",
    "#Plot\n",
    "plt.scatter(x, y)\n",
    "plt.title('Number of winners (y-axis) vs age (x-axis)')\n",
    "plt.xlabel('Age')\n",
    "plt.ylabel('# of Winner')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We note that approximately from 35-60 there is a positive relationship between age and number of winners. On the contraty from 60-90 there is a negative covariance between the age and the number of winners."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Next we would like to investigate who is the first woman to be awarded the nobel prize. And in what year was that, and in what particular field.\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "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>Motivation</th>\n",
       "      <th>Laureate ID</th>\n",
       "      <th>Laureate Type</th>\n",
       "      <th>Full Name</th>\n",
       "      <th>Birth Country</th>\n",
       "      <th>Birth Year</th>\n",
       "      <th>Age</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Organization Name</th>\n",
       "      <th>Chemistry</th>\n",
       "      <th>Economics</th>\n",
       "      <th>Literature</th>\n",
       "      <th>Medicine</th>\n",
       "      <th>Peace</th>\n",
       "      <th>Physics</th>\n",
       "      <th>Share 1/1</th>\n",
       "      <th>Share 1/2</th>\n",
       "      <th>Share 1/3</th>\n",
       "      <th>Share 1/4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>1903</td>\n",
       "      <td>\"in recognition of the extraordinary services ...</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>Marie Curie, née Sklodowska</td>\n",
       "      <td>Russian Empire (Poland)</td>\n",
       "      <td>1867.0</td>\n",
       "      <td>36.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    Year                                         Motivation  Laureate ID  \\\n",
       "19  1903  \"in recognition of the extraordinary services ...            6   \n",
       "\n",
       "    Laureate Type                    Full Name            Birth Country  \\\n",
       "19              0  Marie Curie, née Sklodowska  Russian Empire (Poland)   \n",
       "\n",
       "    Birth Year   Age  Sex Organization Name  Chemistry  Economics  Literature  \\\n",
       "19      1867.0  36.0  1.0               NaN        0.0        0.0         0.0   \n",
       "\n",
       "    Medicine  Peace  Physics  Share 1/1  Share 1/2  Share 1/3  Share 1/4  \n",
       "19       0.0    0.0      1.0        0.0        0.0        0.0        1.0  "
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#first we get the individuals only.\n",
    "ind = nobel_cleaned.loc[nobel_cleaned['Laureate Type'] == 0]\n",
    "\n",
    "#then we get females only.\n",
    "females = ind[ind['Sex'] == 1]\n",
    "\n",
    "#then we get lowest year\n",
    "min_year = females['Year'].min()\n",
    "first_female = females.loc[females['Year'] == min_year]\n",
    "first_female"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We figure out it's Marie Curie in 1903 at the age of 36 in physics, in recognition of her work on the physiology of digestion, through which knowledge on vital aspects of the subject has been transformed and enlarged.    \n",
    "We also find it interesting to inspect the number of female winners vs. the number of male winners."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7faaf4198>"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#first we get the individuals.\n",
    "ind = nobel_cleaned.loc[nobel_cleaned['Laureate Type'] == 0]\n",
    "\n",
    "#we then get the count of the males and the females\n",
    "male= ind[ind['Sex'] == 0]\n",
    "male_count = male['Sex'].count()\n",
    "female = ind[ind['Sex'] == 1]\n",
    "female_count = female['Sex'].count()\n",
    "\n",
    "#plot the bar chart\n",
    "df = pd.DataFrame({'winners':['males', 'females'], 'count':[male_count, female_count]})\n",
    "df.plot.bar(x='winners', y='count', rot=0, colors=(31/255,119/255,180/255))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We next proceed to answer the question of who are the youngest and oldest winners. Starting with the youngest:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "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>Motivation</th>\n",
       "      <th>Laureate ID</th>\n",
       "      <th>Laureate Type</th>\n",
       "      <th>Full Name</th>\n",
       "      <th>Birth Country</th>\n",
       "      <th>Birth Year</th>\n",
       "      <th>Age</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Organization Name</th>\n",
       "      <th>Chemistry</th>\n",
       "      <th>Economics</th>\n",
       "      <th>Literature</th>\n",
       "      <th>Medicine</th>\n",
       "      <th>Peace</th>\n",
       "      <th>Physics</th>\n",
       "      <th>Share 1/1</th>\n",
       "      <th>Share 1/2</th>\n",
       "      <th>Share 1/3</th>\n",
       "      <th>Share 1/4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>852</th>\n",
       "      <td>2014</td>\n",
       "      <td>\"for their struggle against the suppression of...</td>\n",
       "      <td>914</td>\n",
       "      <td>0</td>\n",
       "      <td>Malala Yousafzai</td>\n",
       "      <td>Pakistan</td>\n",
       "      <td>1997.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year                                         Motivation  Laureate ID  \\\n",
       "852  2014  \"for their struggle against the suppression of...          914   \n",
       "\n",
       "     Laureate Type         Full Name Birth Country  Birth Year   Age  Sex  \\\n",
       "852              0  Malala Yousafzai      Pakistan      1997.0  17.0  1.0   \n",
       "\n",
       "    Organization Name  Chemistry  Economics  Literature  Medicine  Peace  \\\n",
       "852               NaN        0.0        0.0         0.0       0.0    1.0   \n",
       "\n",
       "     Physics  Share 1/1  Share 1/2  Share 1/3  Share 1/4  \n",
       "852      0.0        0.0        1.0        0.0        0.0  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#first we get the individuals only.\n",
    "ind = nobel_cleaned.loc[nobel_cleaned['Laureate Type'] == 0]\n",
    "\n",
    "min_age = ind['Age'].min()\n",
    "youngest_winner = ind.loc[ind['Age'] == min_age]\n",
    "\n",
    "youngest_winner"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The youngest winner was Malala Yousafzai from Pakistan at the age of 17. She was awarded Nobel prize for peace for her struggle against the suppression of children and young people and for the right of all children to education.    \n",
    "We next search for the oldest winner:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "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>Motivation</th>\n",
       "      <th>Laureate ID</th>\n",
       "      <th>Laureate Type</th>\n",
       "      <th>Full Name</th>\n",
       "      <th>Birth Country</th>\n",
       "      <th>Birth Year</th>\n",
       "      <th>Age</th>\n",
       "      <th>Sex</th>\n",
       "      <th>Organization Name</th>\n",
       "      <th>Chemistry</th>\n",
       "      <th>Economics</th>\n",
       "      <th>Literature</th>\n",
       "      <th>Medicine</th>\n",
       "      <th>Peace</th>\n",
       "      <th>Physics</th>\n",
       "      <th>Share 1/1</th>\n",
       "      <th>Share 1/2</th>\n",
       "      <th>Share 1/3</th>\n",
       "      <th>Share 1/4</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>763</th>\n",
       "      <td>2007</td>\n",
       "      <td>\"for having laid the foundations of mechanism ...</td>\n",
       "      <td>820</td>\n",
       "      <td>0</td>\n",
       "      <td>Leonid Hurwicz</td>\n",
       "      <td>Russia</td>\n",
       "      <td>1917.0</td>\n",
       "      <td>90.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>University of Minnesota</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>0.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "     Year                                         Motivation  Laureate ID  \\\n",
       "763  2007  \"for having laid the foundations of mechanism ...          820   \n",
       "\n",
       "     Laureate Type       Full Name Birth Country  Birth Year   Age  Sex  \\\n",
       "763              0  Leonid Hurwicz        Russia      1917.0  90.0  0.0   \n",
       "\n",
       "           Organization Name  Chemistry  Economics  Literature  Medicine  \\\n",
       "763  University of Minnesota        0.0        1.0         0.0       0.0   \n",
       "\n",
       "     Peace  Physics  Share 1/1  Share 1/2  Share 1/3  Share 1/4  \n",
       "763    0.0      0.0        0.0        0.0        1.0        0.0  "
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#first we get the individuals only.\n",
    "ind = nobel_cleaned.loc[nobel_cleaned['Laureate Type'] == 0]\n",
    "\n",
    "max_age = ind['Age'].max()\n",
    "oldest_winner = ind.loc[ind['Age'] == max_age]\n",
    "\n",
    "oldest_winner"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The oldest winner was Leonid Hurwicz at the age of 90. He was awarded Nobel prize for Economics for having laid the foundations of mechanism design theory."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We next turn to investigating the number of winners belonging to an organisation vs. number of winners not belonging to an organisation."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7f8a62ef0>"
      ]
     },
     "execution_count": 41,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#first we get the individuals only.\n",
    "ind = nobel_cleaned.loc[nobel_cleaned['Laureate Type'] == 0]\n",
    "\n",
    "#get individuals with no organsiation.\n",
    "ind_solo = ind[ind['Organization Name'].isnull()]\n",
    "#get individuals with organsiation.\n",
    "ind_org = ind[ind['Organization Name'].notnull()]\n",
    "\n",
    "ind_solo_count = ind_solo.shape[0]\n",
    "ind_org_count = ind_org.shape[0]\n",
    "\n",
    "counts = [('No Organization',ind_solo_count), ('Belonging to Organisation', ind_org_count)] \n",
    "\n",
    "counts_df = pd.DataFrame(counts,columns=['Individual Label', 'Count'])\n",
    "counts_df = counts_df.set_index('Individual Label')\n",
    "counts_df.plot.bar(rot=0)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The difference is notable, most individuals do belong to an ornaization (around 600) vs. almost 200 which do not belong to an organization."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We next turn to analyzing the counts of winners from each country in each field. This will help us finding out the most dominant countries, and validating the theory that USA has the highest number of winners in almost all fields.    "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7fab47e48>"
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#In the first line, we get the physics award winners,\n",
    "#then we get the counts depdening on the birth country\n",
    "#finally the graph is plotted.\n",
    "#This process is repeated for each field\n",
    "\n",
    "phys = nobel_cleaned.loc[nobel_cleaned['Physics'] == 1]\n",
    "phys_country = phys['Birth Country'].value_counts()\n",
    "phys_country = phys_country[phys_country > 1]\n",
    "phys_country.plot.barh(rot=0, figsize=(10,10), colors=(31/255,119/255,180/255))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7f898f048>"
      ]
     },
     "execution_count": 43,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "chem = nobel_cleaned.loc[nobel_cleaned['Chemistry'] == 1]\n",
    "chem_country = chem['Birth Country'].value_counts()\n",
    "chem_country = chem_country[chem_country > 1]\n",
    "chem_country.plot.barh(rot=0, figsize=(10,10), colors=(31/255,119/255,180/255))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7f88b74a8>"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": "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\n",
      "text/plain": [
       "<Figure size 360x360 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "econ = nobel_cleaned.loc[nobel_cleaned['Economics'] == 1]\n",
    "econ_country = econ['Birth Country'].value_counts()\n",
    "econ_country = econ_country[econ_country > 1]\n",
    "econ_country.plot.barh(rot=0, figsize=(5,5), colors=(31/255,119/255,180/255))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7f88a7630>"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "liter = nobel_cleaned.loc[nobel_cleaned['Literature'] == 1]\n",
    "liter_country = liter['Birth Country'].value_counts()\n",
    "liter_country = liter_country[liter_country > 1]\n",
    "liter_country.plot.barh(rot=0, figsize=(10,10), colors=(31/255,119/255,180/255))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7f87b8d68>"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "med = nobel_cleaned.loc[nobel_cleaned['Medicine'] == 1]\n",
    "med_country = med['Birth Country'].value_counts()\n",
    "med_country = med_country[med_country > 1]\n",
    "med_country.plot.barh(rot=0, figsize=(10,10), colors=(31/255,119/255,180/255))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7f8927cf8>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 720x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "peace = nobel_cleaned.loc[nobel_cleaned['Peace'] == 1]\n",
    "peace_country = peace['Birth Country'].value_counts()\n",
    "peace_country = peace_country[peace_country > 1]\n",
    "peace_country.plot.barh(rot=0, figsize=(10,10), colors=(31/255,119/255,180/255))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From the above graphs, we notice USA dominance in all fields but literature, at which France takes the lead. In physics, economy and medicine, we notice that United Kingdom follows the USA."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We next look at the number of organizations who won the prize, vs individuals who accquired it."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7f84a77f0>"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#first we get the individuals and organizations count.\n",
    "ind = nobel_cleaned.loc[nobel_cleaned['Laureate Type'] == 0].count()\n",
    "org = nobel_cleaned.loc[nobel_cleaned['Laureate Type'] == 1].count()\n",
    "\n",
    "ind_count = ind[ind['Laureate Type'] == 0]\n",
    "org_count = org[org['Laureate Type'] == 1]\n",
    "\n",
    "#plot the bar chart\n",
    "df = pd.DataFrame({'winners':['individual', 'organisation'], 'count':[ind_count, org_count]})\n",
    "df.plot.bar(x='winners', y='count', rot=0, colors=(31/255,119/255,180/255))"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We notice that the number of individuals is huge compared to the number of organizations."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Following our aim to answer all the 10 questions, We had to inspect the Motivation column to find the most frequent words. This will give us some insights on what people mostly do to win a nobel prize."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('of', 1100),\n",
       " ('the', 1029),\n",
       " ('and', 508),\n",
       " ('their', 339),\n",
       " ('his', 324),\n",
       " ('in', 323),\n",
       " ('to', 192),\n",
       " ('discovery', 187),\n",
       " ('for', 157),\n",
       " ('discoveries', 154),\n",
       " ('concerning', 116),\n",
       " ('a', 113),\n",
       " ('on', 99),\n",
       " ('development', 92),\n",
       " ('with', 85),\n",
       " ('work', 83),\n",
       " ('which', 82),\n",
       " ('by', 75),\n",
       " ('contributions', 56),\n",
       " ('has', 54),\n",
       " ('theory', 52),\n",
       " ('recognition', 48),\n",
       " ('structure', 48),\n",
       " ('chemical', 43),\n",
       " ('economic', 42),\n",
       " ('that', 38),\n",
       " ('new', 37),\n",
       " ('pioneering', 37),\n",
       " ('fundamental', 33),\n",
       " ('he', 31),\n",
       " ('human', 31),\n",
       " ('studies', 30),\n",
       " ('its', 29),\n",
       " ('analysis', 29),\n",
       " ('especially', 28),\n",
       " ('methods', 26),\n",
       " ('an', 24),\n",
       " ('through', 24),\n",
       " ('investigations', 24),\n",
       " ('research', 22),\n",
       " ('as', 22),\n",
       " ('genetic', 22),\n",
       " ('into', 21),\n",
       " ('her', 20),\n",
       " ('cell', 20),\n",
       " ('invention', 20),\n",
       " ('mechanism', 20),\n",
       " ('important', 19),\n",
       " ('method', 19),\n",
       " ('organic', 18),\n",
       " ('nuclear', 18),\n",
       " ('having', 18),\n",
       " ('efforts', 18),\n",
       " ('services', 17),\n",
       " ('our', 17),\n",
       " ('atomic', 17),\n",
       " ('elementary', 17),\n",
       " ('quantum', 17),\n",
       " ('synthesis\"\"\"for', 17),\n",
       " ('contribution', 16),\n",
       " ('poetic', 15),\n",
       " ('theoretical', 15),\n",
       " ('synthesis', 15),\n",
       " ('between', 15),\n",
       " ('biological', 15),\n",
       " ('chemistry', 14),\n",
       " ('have', 14),\n",
       " ('rendered', 13),\n",
       " ('art', 13),\n",
       " ('researches', 13),\n",
       " ('great', 13),\n",
       " ('connection', 13),\n",
       " ('field', 13),\n",
       " ('life', 13),\n",
       " ('high', 13),\n",
       " ('molecular', 13),\n",
       " ('system\"\"\"for', 13),\n",
       " ('role', 12),\n",
       " ('production', 12),\n",
       " ('use', 12),\n",
       " ('led', 12),\n",
       " ('magnetic', 12),\n",
       " ('reactions\"\"\"for', 12),\n",
       " ('extraordinary', 11),\n",
       " ('application', 11),\n",
       " ('against', 11),\n",
       " ('are', 11),\n",
       " ('poetry', 11),\n",
       " ('mechanisms', 11),\n",
       " ('social', 11),\n",
       " ('particular', 11),\n",
       " ('-', 11),\n",
       " ('peaceful', 11),\n",
       " ('which,', 10),\n",
       " ('developed', 10),\n",
       " ('regarding', 10),\n",
       " ('relating', 10),\n",
       " ('effect', 10),\n",
       " ('systems\"\"\"for', 10),\n",
       " ('theory\"\"\"for', 10)]"
      ]
     },
     "execution_count": 49,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from collections import Counter\n",
    "\n",
    "#We seperate the Motivation column in a seperate Dataframe\n",
    "Motivation_column = nobel_cleaned[\"Motivation\"]\n",
    "\n",
    "#We drop all the rows which holds null values\n",
    "Motivation_column  = Motivation_column.dropna(how='any',axis=0) \n",
    "\n",
    "# Then w apply Method counter that results in an array, at which each instance of that array includes\n",
    "# a word and counter for each repetition for it.\n",
    "common_words = Counter('\"'.join(Motivation_column.str.lower()).split()).most_common(100)\n",
    "common_words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "As you can see here, There are a lot of stop words that is repeated in the Motivation column, which is normal, but we need to eliminate all these stop words in order to concentrate more on important words\n",
    "that will affect our decisions. So we are going to import \"nltk\" library that includes a lot of dictionaries and words."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[('discovery', 187),\n",
       " ('discoveries', 154),\n",
       " ('concerning', 116),\n",
       " ('development', 92),\n",
       " ('work', 83),\n",
       " ('contributions', 56),\n",
       " ('theory', 52),\n",
       " ('recognition', 48),\n",
       " ('structure', 48),\n",
       " ('chemical', 43),\n",
       " ('economic', 42),\n",
       " ('new', 37),\n",
       " ('pioneering', 37),\n",
       " ('fundamental', 33),\n",
       " ('human', 31),\n",
       " ('studies', 30),\n",
       " ('analysis', 29),\n",
       " ('especially', 28),\n",
       " ('methods', 26),\n",
       " ('investigations', 24),\n",
       " ('research', 22),\n",
       " ('genetic', 22),\n",
       " ('cell', 20),\n",
       " ('invention', 20),\n",
       " ('mechanism', 20),\n",
       " ('important', 19),\n",
       " ('method', 19),\n",
       " ('organic', 18),\n",
       " ('nuclear', 18),\n",
       " ('efforts', 18),\n",
       " ('services', 17),\n",
       " ('atomic', 17),\n",
       " ('elementary', 17),\n",
       " ('quantum', 17),\n",
       " ('synthesis\"\"\"for', 17),\n",
       " ('contribution', 16),\n",
       " ('poetic', 15),\n",
       " ('theoretical', 15),\n",
       " ('synthesis', 15),\n",
       " ('biological', 15),\n",
       " ('chemistry', 14),\n",
       " ('rendered', 13),\n",
       " ('art', 13),\n",
       " ('researches', 13),\n",
       " ('great', 13),\n",
       " ('connection', 13),\n",
       " ('field', 13),\n",
       " ('life', 13),\n",
       " ('high', 13),\n",
       " ('molecular', 13),\n",
       " ('system\"\"\"for', 13),\n",
       " ('role', 12),\n",
       " ('production', 12),\n",
       " ('use', 12),\n",
       " ('led', 12),\n",
       " ('magnetic', 12),\n",
       " ('reactions\"\"\"for', 12),\n",
       " ('extraordinary', 11),\n",
       " ('application', 11),\n",
       " ('poetry', 11),\n",
       " ('mechanisms', 11),\n",
       " ('social', 11),\n",
       " ('particular', 11),\n",
       " ('-', 11),\n",
       " ('peaceful', 11),\n",
       " ('which,', 10),\n",
       " ('developed', 10),\n",
       " ('regarding', 10),\n",
       " ('relating', 10),\n",
       " ('effect', 10),\n",
       " ('systems\"\"\"for', 10),\n",
       " ('theory\"\"\"for', 10)]"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#in order to include stopwords in our code we had to use nltk.download() which will open a window for us,\n",
    "#from which we can use stopwords to download \n",
    "\n",
    "# nltk.download()\n",
    "import nltk\n",
    "from nltk.corpus import stopwords\n",
    "\n",
    "#By trial and error, we found that the process of eliminating the stop words from our data\n",
    "#needs to be done 3 times at least to get rid of all stop words\n",
    "for i in range(0,3):\n",
    "    for word in common_words:\n",
    "        if word[0] in (stopwords.words('english')):\n",
    "            common_words.remove(word)\n",
    "common_words"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now our data is clean, we can start follow the process of visualizing It to find the most frequent words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "#We created a dataframe that holds the word and its frequency in 2 separate columns\n",
    "\n",
    "Most_frequent = pd.DataFrame(common_words,columns=['Word', 'Frequency'])"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We don't need all these data now, as we are only searching for the most frequents words, so the first 10 elements are enough"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "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>Word</th>\n",
       "      <th>Frequency</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>discovery</td>\n",
       "      <td>187</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>discoveries</td>\n",
       "      <td>154</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>concerning</td>\n",
       "      <td>116</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>development</td>\n",
       "      <td>92</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>work</td>\n",
       "      <td>83</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>contributions</td>\n",
       "      <td>56</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>theory</td>\n",
       "      <td>52</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>recognition</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>structure</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>chemical</td>\n",
       "      <td>43</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "            Word  Frequency\n",
       "0      discovery        187\n",
       "1    discoveries        154\n",
       "2     concerning        116\n",
       "3    development         92\n",
       "4           work         83\n",
       "5  contributions         56\n",
       "6         theory         52\n",
       "7    recognition         48\n",
       "8      structure         48\n",
       "9       chemical         43"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "Most_frequent = Most_frequent.head(10)\n",
    "Most_frequent"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "               Frequency\n",
      "Word                    \n",
      "discovery            187\n",
      "discoveries          154\n",
      "concerning           116\n",
      "development           92\n",
      "work                  83\n",
      "contributions         56\n",
      "theory                52\n",
      "recognition           48\n",
      "structure             48\n",
      "chemical              43\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7fd7f3ba8a58>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1224x576 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "#We removed the index column and set the Word column to be the index, in order to make the visualization more clear.\n",
    "\n",
    "Most_frequent = Most_frequent[Most_frequent.Word != '\"'].reset_index()\n",
    "del Most_frequent['index']\n",
    "Most_frequent = Most_frequent.set_index('Word')\n",
    "print(Most_frequent)\n",
    "Most_frequent.plot.bar(rot=0, figsize=(17,8), width=0.8)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 3. Data Analysis:    \n",
    "\n",
    "Now that we are done with the part of visualizing our data we have reached the part of answering the target questions.\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "1. The most won prize: is the Medicine prize (211 prizes), physics prize (203 prizes), chemistry prize (173 prizes)\n",
    "2. America has complete dominance over nobel awards compared to other countries, indicating its leadership in science and research.\n",
    "3. The history of nobel awards was more male-dominated, with the males count highly exceeding females count. \n",
    "4. The average Age of a nobel laureate when they got the prize is 60-70\n",
    "5. The most repeated words in the motivation behind winning the prize are \"discoveries\", \"developments\", \"contributions\".\n",
    "\n",
    "\n",
    "In summar, a typical nobel prize winnner is a male american with age ranging between 60-70 who did some discoveries, or contributions in the medicine, physics or chemistry field, most probably working for an organization."
   ]
  },
  {
   "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": "3.7.1"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}