4Bubble (1).ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "006d128b-e94d-49f5-a28a-0c0310f056da",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Matplotlib version:  3.5.3\n"
     ]
    }
   ],
   "source": [
    "#Import primary modules.\n",
    "import numpy as np  # useful for many scientific computing in Python\n",
    "import pandas as pd # primary data structure library\n",
    "\n",
    "#Importing Matplotlib\n",
    "#%matplotlib inline\n",
    "\n",
    "import matplotlib as mpl\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "mpl.style.use('ggplot') # optional: for ggplot-like style\n",
    "\n",
    "# check for latest version of Matplotlib\n",
    "print('Matplotlib version: ', mpl.__version__) # >= 2.0.0"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "cc9d72f3-fbff-44c2-963c-e5afcd51b343",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Data read into a pandas dataframe!\n"
     ]
    }
   ],
   "source": [
    "df_can = pd.read_csv('https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DV0101EN-SkillsNetwork/Data%20Files/Canada.csv')\n",
    "\n",
    "print('Data read into a pandas dataframe!')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "4a12426f-b5d8-4e98-afee-23ae03573a71",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
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       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>Country</th>\n",
       "      <th>Continent</th>\n",
       "      <th>Region</th>\n",
       "      <th>DevName</th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
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       "      <th>2007</th>\n",
       "      <th>2008</th>\n",
       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Afghanistan</td>\n",
       "      <td>Asia</td>\n",
       "      <td>Southern Asia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>16</td>\n",
       "      <td>39</td>\n",
       "      <td>39</td>\n",
       "      <td>47</td>\n",
       "      <td>71</td>\n",
       "      <td>340</td>\n",
       "      <td>...</td>\n",
       "      <td>3436</td>\n",
       "      <td>3009</td>\n",
       "      <td>2652</td>\n",
       "      <td>2111</td>\n",
       "      <td>1746</td>\n",
       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "      <td>58639</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Albania</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>1223</td>\n",
       "      <td>856</td>\n",
       "      <td>702</td>\n",
       "      <td>560</td>\n",
       "      <td>716</td>\n",
       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "      <td>15699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Algeria</td>\n",
       "      <td>Africa</td>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>63</td>\n",
       "      <td>44</td>\n",
       "      <td>...</td>\n",
       "      <td>3626</td>\n",
       "      <td>4807</td>\n",
       "      <td>3623</td>\n",
       "      <td>4005</td>\n",
       "      <td>5393</td>\n",
       "      <td>4752</td>\n",
       "      <td>4325</td>\n",
       "      <td>3774</td>\n",
       "      <td>4331</td>\n",
       "      <td>69439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>American Samoa</td>\n",
       "      <td>Oceania</td>\n",
       "      <td>Polynesia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Andorra</td>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          Country Continent           Region             DevName  1980  1981  \\\n",
       "0     Afghanistan      Asia    Southern Asia  Developing regions    16    39   \n",
       "1         Albania    Europe  Southern Europe   Developed regions     1     0   \n",
       "2         Algeria    Africa  Northern Africa  Developing regions    80    67   \n",
       "3  American Samoa   Oceania        Polynesia  Developing regions     0     1   \n",
       "4         Andorra    Europe  Southern Europe   Developed regions     0     0   \n",
       "\n",
       "   1982  1983  1984  1985  ...  2005  2006  2007  2008  2009  2010  2011  \\\n",
       "0    39    47    71   340  ...  3436  3009  2652  2111  1746  1758  2203   \n",
       "1     0     0     0     0  ...  1223   856   702   560   716   561   539   \n",
       "2    71    69    63    44  ...  3626  4807  3623  4005  5393  4752  4325   \n",
       "3     0     0     0     0  ...     0     1     0     0     0     0     0   \n",
       "4     0     0     0     0  ...     0     1     1     0     0     0     0   \n",
       "\n",
       "   2012  2013  Total  \n",
       "0  2635  2004  58639  \n",
       "1   620   603  15699  \n",
       "2  3774  4331  69439  \n",
       "3     0     0      6  \n",
       "4     1     1     15  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "9fa61403-ce6b-4a42-990a-f790a06711a2",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "(195, 39)\n"
     ]
    }
   ],
   "source": [
    "print(df_can.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "078e9e34-34cc-4e36-9ab2-7b8f4369c7f6",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "df_can.set_index('Country', inplace=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "db7cc267-344f-4cec-8fd4-b60885542715",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
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       "  <thead>\n",
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       "      <th></th>\n",
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       "      <td>2111</td>\n",
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       "      <td>1758</td>\n",
       "      <td>2203</td>\n",
       "      <td>2635</td>\n",
       "      <td>2004</td>\n",
       "      <td>58639</td>\n",
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       "      <th>Albania</th>\n",
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       "      <td>Southern Europe</td>\n",
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       "      <td>561</td>\n",
       "      <td>539</td>\n",
       "      <td>620</td>\n",
       "      <td>603</td>\n",
       "      <td>15699</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Algeria</th>\n",
       "      <td>Africa</td>\n",
       "      <td>Northern Africa</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>80</td>\n",
       "      <td>67</td>\n",
       "      <td>71</td>\n",
       "      <td>69</td>\n",
       "      <td>63</td>\n",
       "      <td>44</td>\n",
       "      <td>69</td>\n",
       "      <td>...</td>\n",
       "      <td>3626</td>\n",
       "      <td>4807</td>\n",
       "      <td>3623</td>\n",
       "      <td>4005</td>\n",
       "      <td>5393</td>\n",
       "      <td>4752</td>\n",
       "      <td>4325</td>\n",
       "      <td>3774</td>\n",
       "      <td>4331</td>\n",
       "      <td>69439</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>American Samoa</th>\n",
       "      <td>Oceania</td>\n",
       "      <td>Polynesia</td>\n",
       "      <td>Developing regions</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
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       "      <td>0</td>\n",
       "      <td>1</td>\n",
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       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
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       "    <tr>\n",
       "      <th>Andorra</th>\n",
       "      <td>Europe</td>\n",
       "      <td>Southern Europe</td>\n",
       "      <td>Developed regions</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>...</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 38 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "               Continent           Region             DevName  1980  1981  \\\n",
       "Country                                                                     \n",
       "Afghanistan         Asia    Southern Asia  Developing regions    16    39   \n",
       "Albania           Europe  Southern Europe   Developed regions     1     0   \n",
       "Algeria           Africa  Northern Africa  Developing regions    80    67   \n",
       "American Samoa   Oceania        Polynesia  Developing regions     0     1   \n",
       "Andorra           Europe  Southern Europe   Developed regions     0     0   \n",
       "\n",
       "                1982  1983  1984  1985  1986  ...  2005  2006  2007  2008  \\\n",
       "Country                                       ...                           \n",
       "Afghanistan       39    47    71   340   496  ...  3436  3009  2652  2111   \n",
       "Albania            0     0     0     0     1  ...  1223   856   702   560   \n",
       "Algeria           71    69    63    44    69  ...  3626  4807  3623  4005   \n",
       "American Samoa     0     0     0     0     0  ...     0     1     0     0   \n",
       "Andorra            0     0     0     0     2  ...     0     1     1     0   \n",
       "\n",
       "                2009  2010  2011  2012  2013  Total  \n",
       "Country                                              \n",
       "Afghanistan     1746  1758  2203  2635  2004  58639  \n",
       "Albania          716   561   539   620   603  15699  \n",
       "Algeria         5393  4752  4325  3774  4331  69439  \n",
       "American Samoa     0     0     0     0     0      6  \n",
       "Andorra            0     0     0     1     1     15  \n",
       "\n",
       "[5 rows x 38 columns]"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_can.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "79c63072-5a17-44e7-810e-9d22aea4238b",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "data dimensions: (195, 38)\n"
     ]
    }
   ],
   "source": [
    "print('data dimensions:', df_can.shape)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "d4c83906-0f4d-44d9-9e8f-3a54d63c848d",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "years = list(map(str, range(1980, 2014)))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "id": "11b5f999-d70b-43d4-bf4e-c96885b385aa",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.groupby.generic.DataFrameGroupBy'>\n"
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    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>1980</th>\n",
       "      <th>1981</th>\n",
       "      <th>1982</th>\n",
       "      <th>1983</th>\n",
       "      <th>1984</th>\n",
       "      <th>1985</th>\n",
       "      <th>1986</th>\n",
       "      <th>1987</th>\n",
       "      <th>1988</th>\n",
       "      <th>1989</th>\n",
       "      <th>...</th>\n",
       "      <th>2005</th>\n",
       "      <th>2006</th>\n",
       "      <th>2007</th>\n",
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       "      <th>2009</th>\n",
       "      <th>2010</th>\n",
       "      <th>2011</th>\n",
       "      <th>2012</th>\n",
       "      <th>2013</th>\n",
       "      <th>Total</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Continent</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>Africa</th>\n",
       "      <td>3951</td>\n",
       "      <td>4363</td>\n",
       "      <td>3819</td>\n",
       "      <td>2671</td>\n",
       "      <td>2639</td>\n",
       "      <td>2650</td>\n",
       "      <td>3782</td>\n",
       "      <td>7494</td>\n",
       "      <td>7552</td>\n",
       "      <td>9894</td>\n",
       "      <td>...</td>\n",
       "      <td>27523</td>\n",
       "      <td>29188</td>\n",
       "      <td>28284</td>\n",
       "      <td>29890</td>\n",
       "      <td>34534</td>\n",
       "      <td>40892</td>\n",
       "      <td>35441</td>\n",
       "      <td>38083</td>\n",
       "      <td>38543</td>\n",
       "      <td>618948</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Asia</th>\n",
       "      <td>31025</td>\n",
       "      <td>34314</td>\n",
       "      <td>30214</td>\n",
       "      <td>24696</td>\n",
       "      <td>27274</td>\n",
       "      <td>23850</td>\n",
       "      <td>28739</td>\n",
       "      <td>43203</td>\n",
       "      <td>47454</td>\n",
       "      <td>60256</td>\n",
       "      <td>...</td>\n",
       "      <td>159253</td>\n",
       "      <td>149054</td>\n",
       "      <td>133459</td>\n",
       "      <td>139894</td>\n",
       "      <td>141434</td>\n",
       "      <td>163845</td>\n",
       "      <td>146894</td>\n",
       "      <td>152218</td>\n",
       "      <td>155075</td>\n",
       "      <td>3317794</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Europe</th>\n",
       "      <td>39760</td>\n",
       "      <td>44802</td>\n",
       "      <td>42720</td>\n",
       "      <td>24638</td>\n",
       "      <td>22287</td>\n",
       "      <td>20844</td>\n",
       "      <td>24370</td>\n",
       "      <td>46698</td>\n",
       "      <td>54726</td>\n",
       "      <td>60893</td>\n",
       "      <td>...</td>\n",
       "      <td>35955</td>\n",
       "      <td>33053</td>\n",
       "      <td>33495</td>\n",
       "      <td>34692</td>\n",
       "      <td>35078</td>\n",
       "      <td>33425</td>\n",
       "      <td>26778</td>\n",
       "      <td>29177</td>\n",
       "      <td>28691</td>\n",
       "      <td>1410947</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Latin America and the Caribbean</th>\n",
       "      <td>13081</td>\n",
       "      <td>15215</td>\n",
       "      <td>16769</td>\n",
       "      <td>15427</td>\n",
       "      <td>13678</td>\n",
       "      <td>15171</td>\n",
       "      <td>21179</td>\n",
       "      <td>28471</td>\n",
       "      <td>21924</td>\n",
       "      <td>25060</td>\n",
       "      <td>...</td>\n",
       "      <td>24747</td>\n",
       "      <td>24676</td>\n",
       "      <td>26011</td>\n",
       "      <td>26547</td>\n",
       "      <td>26867</td>\n",
       "      <td>28818</td>\n",
       "      <td>27856</td>\n",
       "      <td>27173</td>\n",
       "      <td>24950</td>\n",
       "      <td>765148</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>Northern America</th>\n",
       "      <td>9378</td>\n",
       "      <td>10030</td>\n",
       "      <td>9074</td>\n",
       "      <td>7100</td>\n",
       "      <td>6661</td>\n",
       "      <td>6543</td>\n",
       "      <td>7074</td>\n",
       "      <td>7705</td>\n",
       "      <td>6469</td>\n",
       "      <td>6790</td>\n",
       "      <td>...</td>\n",
       "      <td>8394</td>\n",
       "      <td>9613</td>\n",
       "      <td>9463</td>\n",
       "      <td>10190</td>\n",
       "      <td>8995</td>\n",
       "      <td>8142</td>\n",
       "      <td>7677</td>\n",
       "      <td>7892</td>\n",
       "      <td>8503</td>\n",
       "      <td>241142</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 35 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  1980   1981   1982   1983   1984   1985  \\\n",
       "Continent                                                                   \n",
       "Africa                            3951   4363   3819   2671   2639   2650   \n",
       "Asia                             31025  34314  30214  24696  27274  23850   \n",
       "Europe                           39760  44802  42720  24638  22287  20844   \n",
       "Latin America and the Caribbean  13081  15215  16769  15427  13678  15171   \n",
       "Northern America                  9378  10030   9074   7100   6661   6543   \n",
       "\n",
       "                                  1986   1987   1988   1989  ...    2005  \\\n",
       "Continent                                                    ...           \n",
       "Africa                            3782   7494   7552   9894  ...   27523   \n",
       "Asia                             28739  43203  47454  60256  ...  159253   \n",
       "Europe                           24370  46698  54726  60893  ...   35955   \n",
       "Latin America and the Caribbean  21179  28471  21924  25060  ...   24747   \n",
       "Northern America                  7074   7705   6469   6790  ...    8394   \n",
       "\n",
       "                                   2006    2007    2008    2009    2010  \\\n",
       "Continent                                                                 \n",
       "Africa                            29188   28284   29890   34534   40892   \n",
       "Asia                             149054  133459  139894  141434  163845   \n",
       "Europe                            33053   33495   34692   35078   33425   \n",
       "Latin America and the Caribbean   24676   26011   26547   26867   28818   \n",
       "Northern America                   9613    9463   10190    8995    8142   \n",
       "\n",
       "                                   2011    2012    2013    Total  \n",
       "Continent                                                         \n",
       "Africa                            35441   38083   38543   618948  \n",
       "Asia                             146894  152218  155075  3317794  \n",
       "Europe                            26778   29177   28691  1410947  \n",
       "Latin America and the Caribbean   27856   27173   24950   765148  \n",
       "Northern America                   7677    7892    8503   241142  \n",
       "\n",
       "[5 rows x 35 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_continents = df_can.groupby('Continent', axis=0).sum()\n",
    "\n",
    "# note: the output of the groupby method is a `groupby' object. \n",
    "# we can not use it further until we apply a function (eg .sum())\n",
    "print(type(df_can.groupby('Continent', axis=0)))\n",
    "\n",
    "df_continents.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "b92c0871-620f-4f20-a3ae-7eedbcf983a8",
   "metadata": {
    "tags": []
   },
   "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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       "    }\n",
       "\n",
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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>Country</th>\n",
       "      <th>Year</th>\n",
       "      <th>Afghanistan</th>\n",
       "      <th>Albania</th>\n",
       "      <th>Algeria</th>\n",
       "      <th>American Samoa</th>\n",
       "      <th>Andorra</th>\n",
       "      <th>Angola</th>\n",
       "      <th>Antigua and Barbuda</th>\n",
       "      <th>Argentina</th>\n",
       "      <th>Armenia</th>\n",
       "      <th>...</th>\n",
       "      <th>United States of America</th>\n",
       "      <th>Uruguay</th>\n",
       "      <th>Uzbekistan</th>\n",
       "      <th>Vanuatu</th>\n",
       "      <th>Venezuela (Bolivarian Republic of)</th>\n",
       "      <th>Viet Nam</th>\n",
       "      <th>Western Sahara</th>\n",
       "      <th>Yemen</th>\n",
       "      <th>Zambia</th>\n",
       "      <th>Zimbabwe</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1980</td>\n",
       "      <td>16</td>\n",
       "      <td>1</td>\n",
       "      <td>80</td>\n",
       "      <td>0</td>\n",
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       "      <td>368</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>9378</td>\n",
       "      <td>128</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>103</td>\n",
       "      <td>1191</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1981</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>67</td>\n",
       "      <td>1</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>426</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>10030</td>\n",
       "      <td>132</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>117</td>\n",
       "      <td>1829</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>17</td>\n",
       "      <td>114</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1982</td>\n",
       "      <td>39</td>\n",
       "      <td>0</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>626</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>9074</td>\n",
       "      <td>146</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>174</td>\n",
       "      <td>2162</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>11</td>\n",
       "      <td>102</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1983</td>\n",
       "      <td>47</td>\n",
       "      <td>0</td>\n",
       "      <td>69</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>0</td>\n",
       "      <td>241</td>\n",
       "      <td>0</td>\n",
       "      <td>...</td>\n",
       "      <td>7100</td>\n",
       "      <td>105</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>124</td>\n",
       "      <td>3404</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>7</td>\n",
       "      <td>44</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1984</td>\n",
       "      <td>71</td>\n",
       "      <td>0</td>\n",
       "      <td>63</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>42</td>\n",
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       "      <td>6661</td>\n",
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       "      <td>0</td>\n",
       "      <td>142</td>\n",
       "      <td>7583</td>\n",
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       "      <td>0</td>\n",
       "      <td>16</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 196 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "Country  Year  Afghanistan  Albania  Algeria  American Samoa  Andorra  Angola  \\\n",
       "0        1980           16        1       80               0        0       1   \n",
       "1        1981           39        0       67               1        0       3   \n",
       "2        1982           39        0       71               0        0       6   \n",
       "3        1983           47        0       69               0        0       6   \n",
       "4        1984           71        0       63               0        0       4   \n",
       "\n",
       "Country  Antigua and Barbuda  Argentina  Armenia  ...  \\\n",
       "0                          0        368        0  ...   \n",
       "1                          0        426        0  ...   \n",
       "2                          0        626        0  ...   \n",
       "3                          0        241        0  ...   \n",
       "4                         42        237        0  ...   \n",
       "\n",
       "Country  United States of America  Uruguay  Uzbekistan  Vanuatu  \\\n",
       "0                            9378      128           0        0   \n",
       "1                           10030      132           0        0   \n",
       "2                            9074      146           0        0   \n",
       "3                            7100      105           0        0   \n",
       "4                            6661       90           0        0   \n",
       "\n",
       "Country  Venezuela (Bolivarian Republic of)  Viet Nam  Western Sahara  Yemen  \\\n",
       "0                                       103      1191               0      1   \n",
       "1                                       117      1829               0      2   \n",
       "2                                       174      2162               0      1   \n",
       "3                                       124      3404               0      6   \n",
       "4                                       142      7583               0      0   \n",
       "\n",
       "Country  Zambia  Zimbabwe  \n",
       "0            11        72  \n",
       "1            17       114  \n",
       "2            11       102  \n",
       "3             7        44  \n",
       "4            16        32  \n",
       "\n",
       "[5 rows x 196 columns]"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#Get the data for Brazil and Argentina. \n",
    "#Like in the previous example, we will convert the Years to type int and include it in the dataframe.\n",
    "# transposed dataframe\n",
    "df_can_t = df_can[years].transpose()\n",
    "\n",
    "# cast the Years (the index) to type int\n",
    "df_can_t.index = map(int, df_can_t.index)\n",
    "\n",
    "# let's label the index. This will automatically be the column name when we reset the index\n",
    "df_can_t.index.name = 'Year'\n",
    "\n",
    "# reset index to bring the Year in as a column\n",
    "df_can_t.reset_index(inplace=True)\n",
    "\n",
    "# view the changes\n",
    "df_can_t.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "3182c7be-41ec-498e-ae7c-b4a4d8ed49c2",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "# Create the normalized weights.\n",
    "#There are several methods of normalizations in statistics, each with its own use. \n",
    "#In this case, we will use feature scaling to bring all values into the range [0, 1].\n",
    "# normalize Brazil data\n",
    "norm_brazil = (df_can_t['Brazil'] - df_can_t['Brazil'].min()) / (df_can_t['Brazil'].max() - df_can_t['Brazil'].min())\n",
    "\n",
    "# normalize Argentina data\n",
    "norm_argentina = (df_can_t['Argentina'] - df_can_t['Argentina'].min()) / (df_can_t['Argentina'].max() - df_can_t['Argentina'].min())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "02d13343-8bb1-46d4-90e5-1d845287c9a6",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f7d8f029310>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
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\n",
      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Plot the data.\n",
    "# Brazil\n",
    "ax0 = df_can_t.plot(kind='scatter',\n",
    "                    x='Year',\n",
    "                    y='Brazil',\n",
    "                    figsize=(14, 8),\n",
    "                    alpha=0.5,  # transparency\n",
    "                    color='green',\n",
    "                    s=norm_brazil * 2000 + 10,  # pass in weights \n",
    "                    xlim=(1975, 2015)\n",
    "                    )\n",
    "\n",
    "# Argentina\n",
    "ax1 = df_can_t.plot(kind='scatter',\n",
    "                    x='Year',\n",
    "                    y='Argentina',\n",
    "                    alpha=0.5,\n",
    "                    color=\"blue\",\n",
    "                    s=norm_argentina * 2000 + 10,\n",
    "                    ax=ax0\n",
    "                    )\n",
    "\n",
    "ax0.set_ylabel('Number of Immigrants')\n",
    "ax0.set_title('Immigration from Brazil and Argentina from 1980 to 2013')\n",
    "ax0.legend(['Brazil', 'Argentina'], loc='upper left', fontsize='x-large')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "8c7b08e9-8712-4bfc-90d7-62d4d7bb93d3",
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "#Create bubble plots of immigration from China and India to visualize any differences with time from 1980 to 2013.\n",
    "#You can use df_can_t that we defined and used in the previous example\n",
    "#Step 1: Normalize the data pertaining to China and India.\n",
    "# normalized Chinese data\n",
    "norm_china = (df_can_t['China'] - df_can_t['China'].min()) / (df_can_t['China'].max() - df_can_t['China'].min())\n",
    "# normalized Indian data\n",
    "norm_india = (df_can_t['India'] - df_can_t['India'].min()) / (df_can_t['India'].max() - df_can_t['India'].min())\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "a0895253-e867-4c92-bf8d-e523cef92641",
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.legend.Legend at 0x7f7d8ef0f5d0>"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<Figure size 1400x800 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "#Step 2: Generate the bubble plots.\n",
    "# China\n",
    "ax0 = df_can_t.plot(kind='scatter',\n",
    "                        x='Year',\n",
    "                        y='China',\n",
    "                        figsize=(14, 8),\n",
    "                        alpha=0.5,                  # transparency\n",
    "                        color='green',\n",
    "                        s=norm_china * 2000 + 10,  # pass in weights \n",
    "                        xlim=(1975, 2015)\n",
    "                       )\n",
    "\n",
    "# India\n",
    "ax1 = df_can_t.plot(kind='scatter',\n",
    "                        x='Year',\n",
    "                        y='India',\n",
    "                        alpha=0.5,\n",
    "                        color=\"blue\",\n",
    "                        s=norm_india * 2000 + 10,\n",
    "                        ax = ax0\n",
    "                       )\n",
    "\n",
    "ax0.set_ylabel('Number of Immigrants')\n",
    "ax0.set_title('Immigration from China and India from 1980 - 2013')\n",
    "ax0.legend(['China', 'India'], loc='upper left', fontsize='x-large')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "112dc05a-fb37-432d-b710-ca38a9e25f70",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python",
   "language": "python",
   "name": "conda-env-python-py"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.12"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}