Project4.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 48,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn import preprocessing\n",
    "from sklearn.cluster import KMeans, AgglomerativeClustering"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "df1 = pd.read_csv('HealthyLifestyle.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['City', 'Rank', 'Sunshine hours(City)',\n",
       "       'Cost of a bottle of water(City)', 'Obesity levels(Country)',\n",
       "       'Life expectancy(years) (Country)', 'Pollution(Index score) (City)',\n",
       "       'Annual avg. hours worked', 'Happiness levels(Country)',\n",
       "       'Outdoor activities(City)', 'Number of take out places(City)',\n",
       "       'Cost of a monthly gym membership(City)'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "City                                      0\n",
       "Rank                                      0\n",
       "Sunshine hours(City)                      0\n",
       "Cost of a bottle of water(City)           0\n",
       "Obesity levels(Country)                   0\n",
       "Life expectancy(years) (Country)          0\n",
       "Pollution(Index score) (City)             0\n",
       "Annual avg. hours worked                  0\n",
       "Happiness levels(Country)                 0\n",
       "Outdoor activities(City)                  0\n",
       "Number of take out places(City)           0\n",
       "Cost of a monthly gym membership(City)    0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.isna().sum()"
   ]
  },
  {
   "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>City</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Sunshine hours(City)</th>\n",
       "      <th>Cost of a bottle of water(City)</th>\n",
       "      <th>Obesity levels(Country)</th>\n",
       "      <th>Life expectancy(years) (Country)</th>\n",
       "      <th>Pollution(Index score) (City)</th>\n",
       "      <th>Annual avg. hours worked</th>\n",
       "      <th>Happiness levels(Country)</th>\n",
       "      <th>Outdoor activities(City)</th>\n",
       "      <th>Number of take out places(City)</th>\n",
       "      <th>Cost of a monthly gym membership(City)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>1</td>\n",
       "      <td>1858</td>\n",
       "      <td>£1.92</td>\n",
       "      <td>20.40%</td>\n",
       "      <td>81.2</td>\n",
       "      <td>30.93</td>\n",
       "      <td>1434</td>\n",
       "      <td>7.44</td>\n",
       "      <td>422</td>\n",
       "      <td>1048</td>\n",
       "      <td>£34.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sydney</td>\n",
       "      <td>2</td>\n",
       "      <td>2636</td>\n",
       "      <td>£1.48</td>\n",
       "      <td>29.00%</td>\n",
       "      <td>82.1</td>\n",
       "      <td>26.86</td>\n",
       "      <td>1712</td>\n",
       "      <td>7.22</td>\n",
       "      <td>406</td>\n",
       "      <td>1103</td>\n",
       "      <td>£41.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Vienna</td>\n",
       "      <td>3</td>\n",
       "      <td>1884</td>\n",
       "      <td>£1.94</td>\n",
       "      <td>20.10%</td>\n",
       "      <td>81.0</td>\n",
       "      <td>17.33</td>\n",
       "      <td>1501</td>\n",
       "      <td>7.29</td>\n",
       "      <td>132</td>\n",
       "      <td>1008</td>\n",
       "      <td>£25.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Stockholm</td>\n",
       "      <td>4</td>\n",
       "      <td>1821</td>\n",
       "      <td>£1.72</td>\n",
       "      <td>20.60%</td>\n",
       "      <td>81.8</td>\n",
       "      <td>19.63</td>\n",
       "      <td>1452</td>\n",
       "      <td>7.35</td>\n",
       "      <td>129</td>\n",
       "      <td>598</td>\n",
       "      <td>£37.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>5</td>\n",
       "      <td>1630</td>\n",
       "      <td>£2.19</td>\n",
       "      <td>19.70%</td>\n",
       "      <td>79.8</td>\n",
       "      <td>21.24</td>\n",
       "      <td>1380</td>\n",
       "      <td>7.64</td>\n",
       "      <td>154</td>\n",
       "      <td>523</td>\n",
       "      <td>£32.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         City  Rank Sunshine hours(City) Cost of a bottle of water(City)  \\\n",
       "0   Amsterdam     1                 1858                           £1.92   \n",
       "1      Sydney     2                 2636                           £1.48   \n",
       "2      Vienna     3                 1884                           £1.94   \n",
       "3   Stockholm     4                 1821                           £1.72   \n",
       "4  Copenhagen     5                 1630                           £2.19   \n",
       "\n",
       "  Obesity levels(Country)  Life expectancy(years) (Country)  \\\n",
       "0                  20.40%                              81.2   \n",
       "1                  29.00%                              82.1   \n",
       "2                  20.10%                              81.0   \n",
       "3                  20.60%                              81.8   \n",
       "4                  19.70%                              79.8   \n",
       "\n",
       "  Pollution(Index score) (City) Annual avg. hours worked  \\\n",
       "0                         30.93                     1434   \n",
       "1                         26.86                     1712   \n",
       "2                         17.33                     1501   \n",
       "3                         19.63                     1452   \n",
       "4                         21.24                     1380   \n",
       "\n",
       "   Happiness levels(Country)  Outdoor activities(City)  \\\n",
       "0                       7.44                       422   \n",
       "1                       7.22                       406   \n",
       "2                       7.29                       132   \n",
       "3                       7.35                       129   \n",
       "4                       7.64                       154   \n",
       "\n",
       "   Number of take out places(City) Cost of a monthly gym membership(City)  \n",
       "0                             1048                                 £34.90  \n",
       "1                             1103                                 £41.66  \n",
       "2                             1008                                 £25.74  \n",
       "3                              598                                 £37.31  \n",
       "4                              523                                 £32.53  "
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<seaborn.axisgrid.PairGrid at 0x15edde09130>"
      ]
     },
     "execution_count": 53,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 900x900 with 30 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.pairplot(df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:>"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.heatmap(df1.corr(), annot=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Life expectancy(years) (Country)', ylabel='Outdoor activities(City)'>"
      ]
     },
     "execution_count": 55,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='Life expectancy(years) (Country)', y='Outdoor activities(City)', data=df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Outdoor activities(City)', ylabel='Number of take out places(City)'>"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='Outdoor activities(City)', y='Number of take out places(City)', data=df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Life expectancy(years) (Country)', ylabel='Happiness levels(Country)'>"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='Life expectancy(years) (Country)', y= 'Happiness levels(Country)', data=df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Number of take out places(City)', ylabel='Life expectancy(years) (Country)'>"
      ]
     },
     "execution_count": 58,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='Number of take out places(City)', y='Life expectancy(years) (Country)' , data=df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Happiness levels(Country)', ylabel='Number of take out places(City)'>"
      ]
     },
     "execution_count": 59,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x='Happiness levels(Country)', y=  'Number of take out places(City)', data=df1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "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>City</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Sunshine hours(City)</th>\n",
       "      <th>Cost of a bottle of water(City)</th>\n",
       "      <th>Obesity levels(Country)</th>\n",
       "      <th>Life expectancy(years) (Country)</th>\n",
       "      <th>Pollution(Index score) (City)</th>\n",
       "      <th>Annual avg. hours worked</th>\n",
       "      <th>Happiness levels(Country)</th>\n",
       "      <th>Outdoor activities(City)</th>\n",
       "      <th>Number of take out places(City)</th>\n",
       "      <th>Cost of a monthly gym membership(City)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>1</td>\n",
       "      <td>1858</td>\n",
       "      <td>£1.92</td>\n",
       "      <td>20.40%</td>\n",
       "      <td>81.2</td>\n",
       "      <td>30.93</td>\n",
       "      <td>1434</td>\n",
       "      <td>7.44</td>\n",
       "      <td>422</td>\n",
       "      <td>1048</td>\n",
       "      <td>£34.90</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sydney</td>\n",
       "      <td>2</td>\n",
       "      <td>2636</td>\n",
       "      <td>£1.48</td>\n",
       "      <td>29.00%</td>\n",
       "      <td>82.1</td>\n",
       "      <td>26.86</td>\n",
       "      <td>1712</td>\n",
       "      <td>7.22</td>\n",
       "      <td>406</td>\n",
       "      <td>1103</td>\n",
       "      <td>£41.66</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Vienna</td>\n",
       "      <td>3</td>\n",
       "      <td>1884</td>\n",
       "      <td>£1.94</td>\n",
       "      <td>20.10%</td>\n",
       "      <td>81.0</td>\n",
       "      <td>17.33</td>\n",
       "      <td>1501</td>\n",
       "      <td>7.29</td>\n",
       "      <td>132</td>\n",
       "      <td>1008</td>\n",
       "      <td>£25.74</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Stockholm</td>\n",
       "      <td>4</td>\n",
       "      <td>1821</td>\n",
       "      <td>£1.72</td>\n",
       "      <td>20.60%</td>\n",
       "      <td>81.8</td>\n",
       "      <td>19.63</td>\n",
       "      <td>1452</td>\n",
       "      <td>7.35</td>\n",
       "      <td>129</td>\n",
       "      <td>598</td>\n",
       "      <td>£37.31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>5</td>\n",
       "      <td>1630</td>\n",
       "      <td>£2.19</td>\n",
       "      <td>19.70%</td>\n",
       "      <td>79.8</td>\n",
       "      <td>21.24</td>\n",
       "      <td>1380</td>\n",
       "      <td>7.64</td>\n",
       "      <td>154</td>\n",
       "      <td>523</td>\n",
       "      <td>£32.53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "         City  Rank Sunshine hours(City) Cost of a bottle of water(City)  \\\n",
       "0   Amsterdam     1                 1858                           £1.92   \n",
       "1      Sydney     2                 2636                           £1.48   \n",
       "2      Vienna     3                 1884                           £1.94   \n",
       "3   Stockholm     4                 1821                           £1.72   \n",
       "4  Copenhagen     5                 1630                           £2.19   \n",
       "\n",
       "  Obesity levels(Country)  Life expectancy(years) (Country)  \\\n",
       "0                  20.40%                              81.2   \n",
       "1                  29.00%                              82.1   \n",
       "2                  20.10%                              81.0   \n",
       "3                  20.60%                              81.8   \n",
       "4                  19.70%                              79.8   \n",
       "\n",
       "  Pollution(Index score) (City) Annual avg. hours worked  \\\n",
       "0                         30.93                     1434   \n",
       "1                         26.86                     1712   \n",
       "2                         17.33                     1501   \n",
       "3                         19.63                     1452   \n",
       "4                         21.24                     1380   \n",
       "\n",
       "   Happiness levels(Country)  Outdoor activities(City)  \\\n",
       "0                       7.44                       422   \n",
       "1                       7.22                       406   \n",
       "2                       7.29                       132   \n",
       "3                       7.35                       129   \n",
       "4                       7.64                       154   \n",
       "\n",
       "   Number of take out places(City) Cost of a monthly gym membership(City)  \n",
       "0                             1048                                 £34.90  \n",
       "1                             1103                                 £41.66  \n",
       "2                             1008                                 £25.74  \n",
       "3                              598                                 £37.31  \n",
       "4                              523                                 £32.53  "
      ]
     },
     "execution_count": 60,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.head(5)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "X = df1[['Happiness levels(Country)', 'Outdoor activities(City)', 'Number of take out places(City)', 'Life expectancy(years) (Country)']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [],
   "source": [
    "inertia = []\n",
    "for k in range(1,6):\n",
    "    kmeans = KMeans(n_clusters=k, random_state=1).fit(X)\n",
    "    inertia.append(np.sqrt(kmeans.inertia_))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0, 0.5, 'Variance')"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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V1S5HoUdeFtcN78Er8zfwL5WjRCRK0ZShrgruNQAQ3De4qrqN3H0DsMbMegZNQ4FFREpa5SOaxgCTg+UpwBXBqKjBQElQrnodGGFmzYMb2yOCNjlKY7/WlQHtm/HLyQvYvFPlKBGpXjTJItnMrPyDmSUDaVHu/8fA381sHjAIuBO4GxhuZsuBYcFngFeAlUAh8ChwNYC7bwHuAD4IXrcHbXKUUpKT+N2lA9mxZz+/mrIw7HBEpA5IiaLPa8CzZvbX4PMPg7ZqufvHQH4lq4ZW0teBa6rYzxPAE9EcU6LTs3UW1w7twX1vLOP8/us5r3+bsEMSkQQWzZXFzcCbwI+C13TgplgGJfHxwzO60a9dU3750gK2fL4v7HBEJIFFMxqqzN0fcfdLg9df3T3ah/IkgaUG5ajte/YzTuUoETmCaEZDnRpMy7HMzFaa2SdmtjIewUns9W7TlB+f1YOX537Gaws2hB2OiCSoaMpQjwMPAKcBXyFyD+IrsQxK4utHQ7rRp01TfvHSAraqHCUilYgmWZS4+6vuXuTum8tfMY9M4iY1OYn7vjGQbbv28ZuXVY4SkS+LJlm8aWa/C2aMPaH8FfPIJK76tG3KNWd256WPP+ONhSpHicihohk6e3LwXnEIrANn1X44EqZrzuzO6ws38POXFnBSlxZkZ0T7OI2I1HfRjIY6s5KXEkU9lJYSKUdt+Xwft7+8KOxwRCSBRHNlgZmdD/QF0svb3P32WAUl4enXrhnXDOnGwzMKOX9AG4b2zqt+IxGp96IZOvsX4HIiU3cY8A2gU4zjkhD991k96NU6i9tenE/Jrv1hhyMiCSCaG9xfdfcrgK3u/hvgFOC42IYlYUpLiTyst2nnPu74l8pRIhJdstgdvO8ys7bAfkATCdVz/ds347/O6MqkOWt5c0lR9RuISL0WTbL4p5llA78DPgRWAU/HMCZJED8Z2oMerZpw6wvzKdmtcpRIQxbNaKg73H2buz9P5F5FL3f/ZexDk7A1Sknmvm8MpGjHHv5H5SiRBq3K0VBmdpa7zzCziytZh7u/ENvQJBEM7JDND8/oxiNvreC8/m0Y0rNV2CGJSAiOdGVxRvD+9UpeF8Q4Lkkg1w7tQfegHLV9j8pRIg1RlcnC3ceZWRLwqrt/77DX9+MYo4QsPTWZ3106gI3b93DXK4vDDkdEQnDEexbuXoa+6EiA4zs256qvdeXp99fwzrLisMMRkTiLZjTUNDO7wcw6mFmL8lc0OzezVWY238w+NrOCoK1F8P0Yy4P35kG7mdnDZlZoZvMqTlZoZmOC/svNbMxR/aRyzH46/Di65mZy6wvz2aFylEiDEk2yuJzId2O/A8wJXgU1OMaZ7j7I3csnIrwFmO7uPYh8RestQfu5QI/gNRZ4BCLJBRhHZELDk4Bx5QlG4itSjhrIZyW7uevVJWGHIyJxFM3Q2S6VvLoewzFHAhOC5QnAqArtEz1iFpBtZm2As4Gp7r7F3bcCU4FzjuH4cgxO7NScH5zWhadmf8q/CzeFHY6IxEm0Ewn2A/pw6ESCE6PY1IE3zMyBv7r7eCDP3dcH6zcA5TPVtQPWVNh2bdBWVfvhMY4lckVCx44dowhNjtbPRvTkiZmf8K3HZn9pXU6TNAp+MTyEqEQklqpNFmY2DhhCJFm8QqRcNBOIJlmc5u7rzKwVMNXMDqlduLsHieSYBYloPEB+fn6t7FMql56azIEqzvCmnfpaVpH6KJp7FpcCQ4EN7v49YCDQLJqdu/u64L0IeJHIPYeNQXmJ4L184qF1QIcKm7cP2qpqFxGROIkmWewJhtCWmllTIv+5d6hmG8ws08yyypeBEcACYApQPqJpDDA5WJ4CXBGMihpM5Lu/1wOvAyPMrHlwY3tE0CYiInFypOk+/kRkwsD3g4kEHyUyEmon8F4U+84DXjSz8uM85e6vmdkHwHNmdiWwGrgs6P8KcB5QCOwCvgfg7lvM7A7gg6Df7e6+pSY/pMRXya79NMtIDTsMEalFR7pnsYzITLNtgc+JJI7hQFN3n1fdjt19JZGS1eHtm4mUtQ5vdyJDdCvb1xPAE9UdUxLD0Afe4rbzenPR8e0I/lgQkTruSNN9POTupwCnA5uJ/Gf9GnCRmfWIU3ySoHKapFXanp2RSrvmGVz/3FxGj5/F8o074hyZiMSCRf6gj7Kz2fFEksYAd0+OWVTHKD8/3wsKavLcoNSmsjLnmQ/WcM9rS/h8bylXnd6VH5/VnYy0qEZqi0hIzGxOhQeoDxHNd3CnmNnXzezvwKvAUuBL05aLlEtKMr55ckem/+wMRg5qxyNvrWD4A+8wddHGsEMTkaNUZbIws+Fm9gSRh+CuAv4FdHP30e4+uartRMrlNGnE/ZcN5Nmxg8lslMxVEwv4wYQPWLNlV9ihiUgNVVmGMrMZwFPA88E0G3WGylCJZ/+BMp6Y+Qm/n7Ycx/nJ0B784LSupKVEM3pbROLhSGWoGt2zqCuULBLXum27uf3lhby+cCPdcjO5Y1Q/vtotJ+ywRIRjvGchUpvaZTfmr9/J5/Ex+ewtLeObj87mp89+TPGOvWGHJiJHoGQhoRjaO4+pPz2D/z6zO/+c9xln3f8WT763igNl9e9KV6Q+ULKQ0DROS+aGs3vy2nWn079dM345eSEX/fnfzFu7LezQROQwShYSum65Tfj7D07modGD+GzbHkb+6d/88qUFlOzWt/GJJAolC0kIZsbIQe2YccMZjDmlM3+fvZqh97/Fix+tpT4OwhCpa5QsJKE0TU/l1xf2ZfI1p9EuuzE/fXYu33x0NoVFmjZEJExKFpKQ+rdvxgtXn8pvR/Vj4WclnPvQu9z72hJ27zsQdmgiDZKShSSs5CTj24M7Mf1nQ/j6wLb8+a0VDHvgbaZp2hCRuFOykISXm9WIBy4bxDNjB5ORlswPJhZw1cQC1m7VtCEi8aJkIXXG4K4t+ddPvsbN5/Ri5vJNDH/gHR55awX7SsvCDk2k3lOykDolLSWJHw3pxtTrT+e0Hjnc89oSzn/4XWat3Bx2aCL1mpKF1Entm2fw6BX5PHZFPrv3H2D0+Flc/9zHbNqpaUNEYiHmycLMks3sIzP7Z/C5i5nNNrNCM3vWzNKC9kbB58JgfecK+7g1aF9qZmfHOmapO4b1iUwbcs2Z3Xh57mecdd9bPDlrtaYNEall8biyuBZYXOHzPcCD7t4d2ApcGbRfCWwN2h8M+mFmfYDRQF/gHODPZpaw39In8dc4LZkbz+7Fq9d+jb5tm/HLlxZw8Z//zfy1JWGHJlJvxDRZmFl74HzgseCzAWcBk4IuE4BRwfLI4DPB+qFB/5HAM+6+190/AQqBk2IZt9RN3Vtl8dRVJ/P7ywexbtseRv5pJuMmL2D7Hk0bInKsYn1l8XvgJqB8uEpLYJu7lwaf1wLtguV2wBqAYH1J0P9geyXbHGRmY82swMwKiouLa/nHkLrCzBh1fDum/+wMvj24ExNnreas+95m8sfrNG2IyDGIWbIwswuAInefE6tjVOTu4909393zc3Nz43FISWDNGqdy+8h+TL7mVNpmp3PtMx/zrcdmU1i0M+zQROqkWF5ZnApcaGargGeIlJ8eArLNLCXo0x5YFyyvAzoABOubAZsrtleyjcgRDWifzYtXn8odo/oxf10J5z70Dr97XdOGiNRUzJKFu9/q7u3dvTORG9Qz3P1bwJvApUG3McDkYHlK8Jlg/QyP1A2mAKOD0VJdgB7A+7GKW+qf5CTjO4M7MeNnQ7hgQFv+9OYKhj/4NjOWaNoQkWiF8ZzFzcD1ZlZI5J7E40H740DLoP164BYAd18IPAcsAl4DrnF3/VkoNZab1YgHLx/E01cNJj01me//rYCxEwtYt2132KGJJDyrjzf98vPzvaCgIOwwJIHtKy3jsZkreXj6cgzj2mE9uPK0LqQm6zlVabjMbI6751e2Tr8Z0iClpSRx9ZDuTP3pGZzaPYe7X41MGzJb04aIVErJQhq0Di0yeGxMPo9ekc/new9w+fhZ/Oy5uZo2ROQwShYiwPA+eUy9/nR+NKQbkz9ex9D73+bvs1dTpmlDRAAlC5GDMtJSuPmcyLQhvdtk8fMXF3DRI/9hwTpNGyKiZCFymB55WTx91WAevHwg67bu4sI/zuTXUxZq2hBp0JQsRCphZlx0fHumXz+Eb53ciQnvrWLo/Zo2RBouJQuRI2iWkcodo/rx0tWn0rppZNqQbz8+mxXFmjZEGhYlC5EoDOyQzUvXnMrtI/syb00J5/7+Xe5/Yyl79uv5UGkYlCxEopScZFxxSmem33AG5/VvzR9mFDL8wbd5c0lR2KGJxJyShUgNtcpK5/ejj+epq04mLTmJ7/3tA374ZAGfadoQqceULESO0le75fDqtadz49k9eWtpMcMeeJvx76xg/4Gy6jcWqWOULESOQVpKEtec2Z1p15/BKV1bcucrS7jg4Zl8sGpL2KGJ1ColC5FaUD5tyPjvnMjOvaV84y/vccM/5rJZ04ZIPZFSfRcRiYaZMaJva07rkcPD0wt57N2VTF20kZvP6cUDU5eyaee+L22T0ySNgl8MDyFakZrRlYVILctIS+GWc3vxyrVfo2frLG57cX6liQKosl0k0ShZiMTIcXlZPDt2MPd/Y2DYoYgcMyULkRgyMy45sf0R+2j6EKkLlCxEQnbq3TP41eQFvLOsmL2leiJcElPMbnCbWTrwDtAoOM4kdx9nZl2AZ4h8//Yc4Dvuvs/MGgETgROBzcDl7r4q2NetwJXAAeAn7v56rOIWibc+bZvxXMEaJr63msy0ZM7omcuw3nmc2bMVzTPTwg5PBIjtaKi9wFnuvtPMUoGZZvYqcD3woLs/Y2Z/IZIEHgnet7p7dzMbDdwDXG5mfYDRQF+gLTDNzI5zd/0JJnVGTpO0KkdDPTYmnz37D/Dvwk1MW1zE9MUbeWX+BpIM8ju1YGjvVgzrk0e33CYhRC4SYfGol5pZBjAT+BHwL6C1u5ea2SnAr939bDN7PVh+z8xSgA1ALnALgLvfFezrYL+qjpefn+8FBQWx/aFEYqSszJm/roTpizcydXERi9dvB6BrTmYkcfTO48ROzUlJVhVZapeZzXH3/MrWxfQ5CzNLJlJq6g78CVgBbHP30qDLWqBdsNwOWAMQJJISIqWqdsCsCrutuE3FY40FxgJ07Nix1n8WkXhJSjIGdshmYIdsrh/Rk7VbdzFjSRFTF23kb/9ZxaPvfkJ2Ripn9owkjtOPyyErPTXssKWei2myCEpFg8wsG3gR6BXDY40HxkPkyiJWxxGJt/bNM7jilM5ccUpnduzZz7vLNzFt0UZmLC3ixY/WkZpsDO7akmG98xjauxXtm2eEHbLUQ3F5gtvdt5nZm8ApQLaZpQRXF+2BdUG3dUAHYG1QhmpG5EZ3eXu5ituINChZ6amc178N5/VvQ+mBMj78dBvTFm9k2qKNjJuykHFTFtKrdRbD++QxrHce/ds1IynJwg5b6oGY3bMws1xgf5AoGgNvELlpPQZ4vsIN7nnu/mczuwbo7+7/FdzgvtjdLzOzvsBTwElEbnBPB3oc6Qa37llIQ7SieCfTF29k2uIiClZtocwhN6sRw3q3YmivPE7tnkPjtOSww5QEdqR7FrFMFgOACUAykec5nnP3282sK5Ghsy2Aj4Bvu/veYKjtk8DxwBZgtLuvDPb1c+D7QClwnbu/eqRjK1lIQ7f18328tayIaYuKeHtZMTv3lpKemsRp3XMZ1rsVZ/VuRaus9LDDlAQTSrIIk5KFyBf2lZYx+5PNTFsUuepYF3xJ06AO2QwLhuX2zMvCTOWqhk7JQkSAyNQiSzbsCBLHRuauLQGgffPGDOsduc9xUpcWpKVoWG5DpGQhIpUq2r6H6UuKmLZoIzMLN7G3tIysRimc3jOX4b3zGNIzl+wMPUXeUChZiEi1du87wMzCyLDc6UuK2LRzL8lJRn6n5gzvk8fQ3nl0yckMO0yJISULEamRsjJn7trIsNzpi4tYsmEHAN1yMxkWDMs9oWNzkjUst15RshCRY7Jmy66Dw3JnrdxMaZnTIjMteIq8FV87LpcmjfTFm3WdkoWI1Jrte/bzzrJipi3ayJtLiynZvZ+05CRO6dYy8kxH7zzaZjcOO0w5CkoWIhITpQfKKFi99eDoqlWbdwHQt21ThvbOY3jvPPq1a6phuXWEkoWIxJy7s6L484PTj3z46VbKHFo3Tees3q0Y3juPU7q1JD1VT5EnKiULEYm7zTv38ubSSLnqneXF7Np3gMapyXytRw7D+uRxVq9W5DRpFHaYUoGShYiEas/+A8xaufng6Kr1JXswg+M7ZB8cXdWjVROVq0KmZCEiCcPdWfjZdqYvLmLa4o3MXxd5irxji4zgKfJW/OSZj6r8ZsGCXwyPd8gNhpKFiCSsDSV7mL4kcp/j3ys2s6+07Ij9V919fpwia3hC+6Y8EZHqtG6WzrdO7sS3Tu7E53tLmVm4iR8+OafK/v83azW9WmdxXOssmuobAuNGyUJEEkZmoxTO7tv6iH1+8dKCg8vtshvTs3UWPVtn0St475rTRBMhxoCShYjUKe/edCZLN+xg6cYdLNmwg6UbtvPOsmJKyyIl9dRko2tOky8lkXbZjXUD/RgoWYhIndKhRQYdWmQwrE/ewbZ9pWWsKN7J0g1fJJCCVVuYMvezg32yGqVwXMUEkpdFr9ZNaZahUlY0lCxEJOHkNEmrcjRUZdJSkujdpim92zQ9pL1k936WVbgCWbphBy/P/YynZpce7NOmWfqhVyF5TenWKpNGKXp4sCKNhhKRBsXdWV+y55CrkCUbdrCieCf7D0T+P0xOMrrmZFYoYzWlV1DKSqrHM+2GMhrKzDoAE4E8wIHx7v6QmbUAngU6A6uAy9x9q0WKiQ8B5wG7gO+6+4fBvsYAvwh2/Vt3nxCruEWkfjMz2mY3pm12Y87s1epg+/4DZXyy6fNDrkI+XrONf85bf7BPZloyx1UoY5UnkeaZ9f8LomJ2ZWFmbYA27v6hmWUBc4BRwHeBLe5+t5ndAjR395vN7Dzgx0SSxcnAQ+5+cpBcCoB8IklnDnCiu2+t6ti6shCR2rJjz36WbYzcDym/Clm6cQfbdu0/2KdVVqMvXYV0b9Wkzs2DFcqVhbuvB9YHyzvMbDHQDhgJDAm6TQDeAm4O2id6JHvNMrPsIOEMAaa6+5bgh5kKnAM8HavYRUTKZaWncmKn5pzYqfnBNnenaMfeQ8pYSzfsYMJ7qw8+VJhk0Dkn8+B9kPJk0rFFRp0sZcXlBreZdQaOB2YDeUEiAdhApEwFkUSypsJma4O2qtoPP8ZYYCxAx44dazF6EZFDmRl5TdPJa5rOGcflHmwvPVDGqs27DrkKWfjZdl5dsIHyIk7j1GSOyysf2tv04NDeRJ9UMebJwsyaAM8D17n79orjnN3dzaxW6mDuPh4YD5EyVG3sU0SkJlKSk+jeqgndWzXh/AFtDrbv2lcalLK+uAqZvriI5wrWHuyT0yQtkkDyvkggx+Vl0TgtMUpZMU0WZpZKJFH83d1fCJo3mlkbd18flJmKgvZ1QIcKm7cP2tbxRdmqvP2tWMYtIlKbMtJSGNQhm0Edsg9pL96xNxiVtf3gg4ZPvb+aPfsjpSwz6NwyM7iZ/sUDhp1aZh7y/ef5v50a84kXYzkayoDHgcXu/kCFVVOAMcDdwfvkCu3/bWbPELnBXRIklNeBO82svGA4Arg1VnGLiMRLblYjcrMacVqPnINtB8qcT7fsOuQqZOmGHbyxaAPBQ+qkpybRo9UXCaSyRAFU2X40YnllcSrwHWC+mX0ctN1GJEk8Z2ZXAquBy4J1rxAZCVVIZOjs9wDcfYuZ3QF8EPS7vfxmt4hIfZOcZHTJyaRLTibn9PuilLVn/wGWb9x5yFXI28uKmTRn7RH2VntiORpqJlDVLf+hlfR34Joq9vUE8ETtRSciUrekpybTv30z+rdvdkj75p17OfG302J+fE3NKCJSh7WM0ygqJQsREamWkoWISB1X1QSLVbUfDc06KyJSx8Xje8l1ZSEiItVSshARkWopWYiISLWULEREpFpKFiIiUq16+bWqZlZMZCqRo5UDbKqlcGqT4qoZxVUziqtm6mNcndw9t7IV9TJZHCszK6jq26LCpLhqRnHVjOKqmYYWl8pQIiJSLSULERGplpJF5caHHUAVFFfNKK6aUVw106Di0j0LERGplq4sRESkWkoWIiJSrQabLMzsCTMrMrMFVaw3M3vYzArNbJ6ZnZAgcQ0xsxIz+zh4/SoOMXUwszfNbJGZLTSzayvpE/fzFWVccT9fwXHTzex9M5sbxPabSvo0MrNng3M228w6J0hc3zWz4grn7Aexjis4brKZfWRm/6xkXdzPVZRxhXKugmOvMrP5wXELKllfu7+T7t4gX8DpwAnAgirWnwe8SuSrYQcDsxMkriHAP+N8rtoAJwTLWcAyoE/Y5yvKuOJ+voLjGtAkWE4FZgODD+tzNfCXYHk08GyCxPVd4I8hnLPrgacq+/cK41xFGVco5yo49iog5wjra/V3ssFeWbj7O8CWI3QZCUz0iFlAtpm1OUL/eMUVd+6+3t0/DJZ3AIuBdod1i/v5ijKuUATnYWfwMTV4HT6aZCQwIVieBAw1s6q+tz6eccWdmbUHzgceq6JL3M9VlHElslr9nWywySIK7YA1FT6vJUH+IwJOCcoIr5pZ33geOLj8P57IX6QVhXq+jhAXhHS+gvLFx0ARMNXdqzxn7l4KlAAtEyAugEuC0sUkM+sQ65iA3wM3AWVVrA/lXEURF8T/XJVz4A0zm2NmYytZX6u/k0oWdc+HROZvGQj8AXgpXgc2sybA88B17r49XsetTjVxhXa+3P2Auw8C2gMnmVm/eB37SKKI62Wgs7sPAKbyxV/0MWFmFwBF7j4nlsepqSjjiuu5Osxp7n4CcC5wjZmdHsuDKVlUbR1Q8a+E9kFbqNx9e3kZwd1fAVLNLCfWxzWzVCL/If/d3V+opEso56u6uMI6X4fFsA14EzjnsFUHz5mZpQDNgM1hx+Xum919b/DxMeDEGIdyKnChma0CngHOMrP/O6xPGOeq2rhCOFcVj70ueC8CXgROOqxLrf5OKllUbQpwRTCiYDBQ4u7rww7KzFqX12rN7CQi/4Yx/aUJjvc4sNjdH6iiW9zPVzRxhXG+gmPlmll2sNwYGA4sOazbFGBMsHwpMMODO5NhxnVYXftCIveCYsbdb3X39u7emcjN6xnu/u3DusX9XEUTV7zPVYXjZppZVvkyMAI4fARlrf5Ophx1tHWcmT1NZKRMjpmtBcYRudmHu/8FeIXIaIJCYBfwvQSJ61LgR2ZWCuwGRsf6l4bIX1jfAeYHtW6A24COFeIK43xFE1cY5wsiI7UmmFkykQT1nLv/08xuBwrcfQqRRPekmRUSGdQwOkHi+omZXQiUBnF9Nw5xfUkCnKto4grrXOUBLwZ/B6UAT7n7a2b2XxCb30lN9yEiItVSGUpERKqlZCEiItVSshARkWopWYiISLWULEREpFpKFiIiUi0lCxERqZaShUicmNlQM3sy7DhEjoaShUj8DAQ+CjsIkaOhZCESPwOBjyzyrW9/M7M74/GdDCK1ocHODSUSggFEvkPideAxdz98ZlWRhKW5oUTiIJhKfROwGvihu78XckgiNaIylEh89AY+IDI76YGQYxGpMSULkfgYCPyHyNTa/2tmeSHHI1IjShYi8TEQWODuy4CbgeeC0pRInaB7FiIiUi1dWYiISLWULEREpFpKFiIiUi0lCxERqZaShYiIVEvJQkREqqVkISIi1fr/J/n6ysqR47wAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.plot(range(1, 6), inertia, marker='s');\n",
    "plt.xlabel('$k$')\n",
    "plt.ylabel('Variance')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "kmeans = KMeans(n_clusters=2)\n",
    "k_fit = kmeans.fit(X)\n",
    "\n",
    "y = kmeans.fit_predict(X)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['City', 'Rank', 'Sunshine hours(City)',\n",
       "       'Cost of a bottle of water(City)', 'Obesity levels(Country)',\n",
       "       'Life expectancy(years) (Country)', 'Pollution(Index score) (City)',\n",
       "       'Annual avg. hours worked', 'Happiness levels(Country)',\n",
       "       'Outdoor activities(City)', 'Number of take out places(City)',\n",
       "       'Cost of a monthly gym membership(City)'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 65,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df1.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Life expectancy(years) (Country)', ylabel='Outdoor activities(City)'>"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x =df1['Life expectancy(years) (Country)'] , y = df1['Outdoor activities(City)'], hue=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Outdoor activities(City)', ylabel='Number of take out places(City)'>"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x =df1['Outdoor activities(City)'] , y = df1['Number of take out places(City)'], hue=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Life expectancy(years) (Country)', ylabel='Happiness levels(Country)'>"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x =df1['Life expectancy(years) (Country)'] , y = df1['Happiness levels(Country)'], hue=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Number of take out places(City)', ylabel='Life expectancy(years) (Country)'>"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x =df1['Number of take out places(City)'] , y = df1['Life expectancy(years) (Country)'], hue=y)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<AxesSubplot:xlabel='Happiness levels(Country)', ylabel='Number of take out places(City)'>"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 432x288 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.scatterplot(x =df1['Happiness levels(Country)'] , y = df1[ 'Number of take out places(City)'], hue=y)\n",
    "\n",
    "\n",
    "\n",
    "\n",
    " "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "Y_df = pd.DataFrame(y, columns=['cluster'])\n",
    "df2 = pd.concat([df1, Y_df], axis=1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "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>City</th>\n",
       "      <th>Rank</th>\n",
       "      <th>Sunshine hours(City)</th>\n",
       "      <th>Cost of a bottle of water(City)</th>\n",
       "      <th>Obesity levels(Country)</th>\n",
       "      <th>Life expectancy(years) (Country)</th>\n",
       "      <th>Pollution(Index score) (City)</th>\n",
       "      <th>Annual avg. hours worked</th>\n",
       "      <th>Happiness levels(Country)</th>\n",
       "      <th>Outdoor activities(City)</th>\n",
       "      <th>Number of take out places(City)</th>\n",
       "      <th>Cost of a monthly gym membership(City)</th>\n",
       "      <th>cluster</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Amsterdam</td>\n",
       "      <td>1</td>\n",
       "      <td>1858</td>\n",
       "      <td>£1.92</td>\n",
       "      <td>20.40%</td>\n",
       "      <td>81.2</td>\n",
       "      <td>30.93</td>\n",
       "      <td>1434</td>\n",
       "      <td>7.44</td>\n",
       "      <td>422</td>\n",
       "      <td>1048</td>\n",
       "      <td>£34.90</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Sydney</td>\n",
       "      <td>2</td>\n",
       "      <td>2636</td>\n",
       "      <td>£1.48</td>\n",
       "      <td>29.00%</td>\n",
       "      <td>82.1</td>\n",
       "      <td>26.86</td>\n",
       "      <td>1712</td>\n",
       "      <td>7.22</td>\n",
       "      <td>406</td>\n",
       "      <td>1103</td>\n",
       "      <td>£41.66</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Vienna</td>\n",
       "      <td>3</td>\n",
       "      <td>1884</td>\n",
       "      <td>£1.94</td>\n",
       "      <td>20.10%</td>\n",
       "      <td>81.0</td>\n",
       "      <td>17.33</td>\n",
       "      <td>1501</td>\n",
       "      <td>7.29</td>\n",
       "      <td>132</td>\n",
       "      <td>1008</td>\n",
       "      <td>£25.74</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>Stockholm</td>\n",
       "      <td>4</td>\n",
       "      <td>1821</td>\n",
       "      <td>£1.72</td>\n",
       "      <td>20.60%</td>\n",
       "      <td>81.8</td>\n",
       "      <td>19.63</td>\n",
       "      <td>1452</td>\n",
       "      <td>7.35</td>\n",
       "      <td>129</td>\n",
       "      <td>598</td>\n",
       "      <td>£37.31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Copenhagen</td>\n",
       "      <td>5</td>\n",
       "      <td>1630</td>\n",
       "      <td>£2.19</td>\n",
       "      <td>19.70%</td>\n",
       "      <td>79.8</td>\n",
       "      <td>21.24</td>\n",
       "      <td>1380</td>\n",
       "      <td>7.64</td>\n",
       "      <td>154</td>\n",
       "      <td>523</td>\n",
       "      <td>£32.53</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>5</th>\n",
       "      <td>Helsinki</td>\n",
       "      <td>6</td>\n",
       "      <td>1662</td>\n",
       "      <td>£1.60</td>\n",
       "      <td>22.20%</td>\n",
       "      <td>80.4</td>\n",
       "      <td>13.08</td>\n",
       "      <td>1540</td>\n",
       "      <td>7.80</td>\n",
       "      <td>113</td>\n",
       "      <td>309</td>\n",
       "      <td>£35.23</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>6</th>\n",
       "      <td>Fukuoka</td>\n",
       "      <td>7</td>\n",
       "      <td>2769</td>\n",
       "      <td>£0.78</td>\n",
       "      <td>4.30%</td>\n",
       "      <td>83.2</td>\n",
       "      <td>-</td>\n",
       "      <td>1644</td>\n",
       "      <td>5.87</td>\n",
       "      <td>35</td>\n",
       "      <td>539</td>\n",
       "      <td>£55.87</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>7</th>\n",
       "      <td>Berlin</td>\n",
       "      <td>8</td>\n",
       "      <td>1626</td>\n",
       "      <td>£1.55</td>\n",
       "      <td>22.30%</td>\n",
       "      <td>80.6</td>\n",
       "      <td>39.41</td>\n",
       "      <td>1386</td>\n",
       "      <td>7.07</td>\n",
       "      <td>254</td>\n",
       "      <td>1729</td>\n",
       "      <td>£26.11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8</th>\n",
       "      <td>Barcelona</td>\n",
       "      <td>9</td>\n",
       "      <td>2591</td>\n",
       "      <td>£1.19</td>\n",
       "      <td>23.80%</td>\n",
       "      <td>82.2</td>\n",
       "      <td>65.19</td>\n",
       "      <td>1686</td>\n",
       "      <td>6.40</td>\n",
       "      <td>585</td>\n",
       "      <td>2344</td>\n",
       "      <td>£37.80</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>9</th>\n",
       "      <td>Vancouver</td>\n",
       "      <td>10</td>\n",
       "      <td>1938</td>\n",
       "      <td>£1.08</td>\n",
       "      <td>29.40%</td>\n",
       "      <td>81.7</td>\n",
       "      <td>24.26</td>\n",
       "      <td>1670</td>\n",
       "      <td>7.23</td>\n",
       "      <td>218</td>\n",
       "      <td>788</td>\n",
       "      <td>£31.04</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>10</th>\n",
       "      <td>Melbourne</td>\n",
       "      <td>11</td>\n",
       "      <td>2363</td>\n",
       "      <td>£1.57</td>\n",
       "      <td>29.00%</td>\n",
       "      <td>82.1</td>\n",
       "      <td>25.90</td>\n",
       "      <td>1712</td>\n",
       "      <td>7.22</td>\n",
       "      <td>243</td>\n",
       "      <td>813</td>\n",
       "      <td>£36.89</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>11</th>\n",
       "      <td>Beijing</td>\n",
       "      <td>12</td>\n",
       "      <td>2671</td>\n",
       "      <td>£0.26</td>\n",
       "      <td>6.20%</td>\n",
       "      <td>75.4</td>\n",
       "      <td>85.43</td>\n",
       "      <td>-</td>\n",
       "      <td>5.12</td>\n",
       "      <td>223</td>\n",
       "      <td>261</td>\n",
       "      <td>£38.62</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>12</th>\n",
       "      <td>Bangkok</td>\n",
       "      <td>13</td>\n",
       "      <td>2624</td>\n",
       "      <td>£0.22</td>\n",
       "      <td>10.00%</td>\n",
       "      <td>74.1</td>\n",
       "      <td>76.64</td>\n",
       "      <td>-</td>\n",
       "      <td>5.99</td>\n",
       "      <td>377</td>\n",
       "      <td>1796</td>\n",
       "      <td>£50.03</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>13</th>\n",
       "      <td>Buenos Aires</td>\n",
       "      <td>14</td>\n",
       "      <td>2525</td>\n",
       "      <td>£0.57</td>\n",
       "      <td>28.30%</td>\n",
       "      <td>75.9</td>\n",
       "      <td>52.64</td>\n",
       "      <td>-</td>\n",
       "      <td>5.97</td>\n",
       "      <td>246</td>\n",
       "      <td>1435</td>\n",
       "      <td>£22.45</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>14</th>\n",
       "      <td>Toronto</td>\n",
       "      <td>15</td>\n",
       "      <td>2066</td>\n",
       "      <td>£1.09</td>\n",
       "      <td>29.40%</td>\n",
       "      <td>81.7</td>\n",
       "      <td>37.83</td>\n",
       "      <td>1670</td>\n",
       "      <td>7.23</td>\n",
       "      <td>174</td>\n",
       "      <td>1656</td>\n",
       "      <td>£32.64</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>15</th>\n",
       "      <td>Madrid</td>\n",
       "      <td>16</td>\n",
       "      <td>2769</td>\n",
       "      <td>£1.30</td>\n",
       "      <td>23.80%</td>\n",
       "      <td>82.2</td>\n",
       "      <td>52.68</td>\n",
       "      <td>1686</td>\n",
       "      <td>6.40</td>\n",
       "      <td>216</td>\n",
       "      <td>2491</td>\n",
       "      <td>£34.54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>16</th>\n",
       "      <td>Jakarta</td>\n",
       "      <td>17</td>\n",
       "      <td>2983</td>\n",
       "      <td>£0.21</td>\n",
       "      <td>6.90%</td>\n",
       "      <td>68.5</td>\n",
       "      <td>84.39</td>\n",
       "      <td>-</td>\n",
       "      <td>5.28</td>\n",
       "      <td>114</td>\n",
       "      <td>833</td>\n",
       "      <td>£29.94</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>17</th>\n",
       "      <td>Seoul</td>\n",
       "      <td>18</td>\n",
       "      <td>2066</td>\n",
       "      <td>£0.59</td>\n",
       "      <td>4.70%</td>\n",
       "      <td>81.3</td>\n",
       "      <td>57.82</td>\n",
       "      <td>1967</td>\n",
       "      <td>5.87</td>\n",
       "      <td>144</td>\n",
       "      <td>389</td>\n",
       "      <td>£43.03</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>18</th>\n",
       "      <td>Frankfurt</td>\n",
       "      <td>19</td>\n",
       "      <td>1662</td>\n",
       "      <td>£1.95</td>\n",
       "      <td>22.30%</td>\n",
       "      <td>80.6</td>\n",
       "      <td>37.78</td>\n",
       "      <td>1386</td>\n",
       "      <td>7.07</td>\n",
       "      <td>23</td>\n",
       "      <td>551</td>\n",
       "      <td>£39.01</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19</th>\n",
       "      <td>Geneva</td>\n",
       "      <td>20</td>\n",
       "      <td>-</td>\n",
       "      <td>£2.62</td>\n",
       "      <td>19.50%</td>\n",
       "      <td>82.6</td>\n",
       "      <td>27.25</td>\n",
       "      <td>1557</td>\n",
       "      <td>7.56</td>\n",
       "      <td>44</td>\n",
       "      <td>444</td>\n",
       "      <td>£70.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>20</th>\n",
       "      <td>Tel Aviv</td>\n",
       "      <td>21</td>\n",
       "      <td>3311</td>\n",
       "      <td>£1.63</td>\n",
       "      <td>26.10%</td>\n",
       "      <td>81.9</td>\n",
       "      <td>47.28</td>\n",
       "      <td>1898</td>\n",
       "      <td>7.12</td>\n",
       "      <td>139</td>\n",
       "      <td>420</td>\n",
       "      <td>£58.31</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>21</th>\n",
       "      <td>Istanbul</td>\n",
       "      <td>22</td>\n",
       "      <td>2218</td>\n",
       "      <td>£0.15</td>\n",
       "      <td>32.10%</td>\n",
       "      <td>74.7</td>\n",
       "      <td>69.49</td>\n",
       "      <td>1832</td>\n",
       "      <td>5.13</td>\n",
       "      <td>419</td>\n",
       "      <td>934</td>\n",
       "      <td>£16.97</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22</th>\n",
       "      <td>Cairo</td>\n",
       "      <td>23</td>\n",
       "      <td>3542</td>\n",
       "      <td>£0.16</td>\n",
       "      <td>32.00%</td>\n",
       "      <td>70.7</td>\n",
       "      <td>91.74</td>\n",
       "      <td>-</td>\n",
       "      <td>4.15</td>\n",
       "      <td>323</td>\n",
       "      <td>250</td>\n",
       "      <td>£23.25</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23</th>\n",
       "      <td>Taipei</td>\n",
       "      <td>24</td>\n",
       "      <td>1405</td>\n",
       "      <td>£0.57</td>\n",
       "      <td>6.20%</td>\n",
       "      <td>75.4</td>\n",
       "      <td>49.32</td>\n",
       "      <td>-</td>\n",
       "      <td>5.12</td>\n",
       "      <td>134</td>\n",
       "      <td>717</td>\n",
       "      <td>£34.76</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>24</th>\n",
       "      <td>Los Angeles</td>\n",
       "      <td>25</td>\n",
       "      <td>3254</td>\n",
       "      <td>£1.52</td>\n",
       "      <td>36.20%</td>\n",
       "      <td>78.8</td>\n",
       "      <td>66.07</td>\n",
       "      <td>1779</td>\n",
       "      <td>6.94</td>\n",
       "      <td>223</td>\n",
       "      <td>1439</td>\n",
       "      <td>£32.00</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25</th>\n",
       "      <td>Mumbai</td>\n",
       "      <td>26</td>\n",
       "      <td>2584</td>\n",
       "      <td>£0.15</td>\n",
       "      <td>3.90%</td>\n",
       "      <td>67.3</td>\n",
       "      <td>82.84</td>\n",
       "      <td>-</td>\n",
       "      <td>3.57</td>\n",
       "      <td>187</td>\n",
       "      <td>1183</td>\n",
       "      <td>£19.54</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>26</th>\n",
       "      <td>Boston</td>\n",
       "      <td>27</td>\n",
       "      <td>2634</td>\n",
       "      <td>£1.39</td>\n",
       "      <td>36.20%</td>\n",
       "      <td>78.8</td>\n",
       "      <td>27.03</td>\n",
       "      <td>1779</td>\n",
       "      <td>6.94</td>\n",
       "      <td>88</td>\n",
       "      <td>588</td>\n",
       "      <td>£46.27</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27</th>\n",
       "      <td>Dublin</td>\n",
       "      <td>28</td>\n",
       "      <td>1453</td>\n",
       "      <td>£1.40</td>\n",
       "      <td>25.30%</td>\n",
       "      <td>80.5</td>\n",
       "      <td>40.07</td>\n",
       "      <td>1772</td>\n",
       "      <td>7.09</td>\n",
       "      <td>159</td>\n",
       "      <td>659</td>\n",
       "      <td>£37.35</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>28</th>\n",
       "      <td>Tokyo</td>\n",
       "      <td>29</td>\n",
       "      <td>1877</td>\n",
       "      <td>£0.76</td>\n",
       "      <td>4.30%</td>\n",
       "      <td>83.2</td>\n",
       "      <td>42.84</td>\n",
       "      <td>1644</td>\n",
       "      <td>5.87</td>\n",
       "      <td>387</td>\n",
       "      <td>5802</td>\n",
       "      <td>£70.82</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>29</th>\n",
       "      <td>Chicago</td>\n",
       "      <td>30</td>\n",
       "      <td>2508</td>\n",
       "      <td>£1.20</td>\n",
       "      <td>36.20%</td>\n",
       "      <td>78.8</td>\n",
       "      <td>43.33</td>\n",
       "      <td>1779</td>\n",
       "      <td>6.94</td>\n",
       "      <td>171</td>\n",
       "      <td>1320</td>\n",
       "      <td>£41.14</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>30</th>\n",
       "      <td>Hong Kong</td>\n",
       "      <td>31</td>\n",
       "      <td>1836</td>\n",
       "      <td>£0.75</td>\n",
       "      <td>6.20%</td>\n",
       "      <td>75.4</td>\n",
       "      <td>67.46</td>\n",
       "      <td>-</td>\n",
       "      <td>5.51</td>\n",
       "      <td>277</td>\n",
       "      <td>1257</td>\n",
       "      <td>£57.95</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>31</th>\n",
       "      <td>Shanghai</td>\n",
       "      <td>32</td>\n",
       "      <td>1776</td>\n",
       "      <td>£0.29</td>\n",
       "      <td>6.20%</td>\n",
       "      <td>75.4</td>\n",
       "      <td>77.40</td>\n",
       "      <td>-</td>\n",
       "      <td>5.12</td>\n",
       "      <td>108</td>\n",
       "      <td>346</td>\n",
       "      <td>£44.68</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32</th>\n",
       "      <td>Brussels</td>\n",
       "      <td>33</td>\n",
       "      <td>1546</td>\n",
       "      <td>£2.11</td>\n",
       "      <td>22.10%</td>\n",
       "      <td>80.4</td>\n",
       "      <td>62.67</td>\n",
       "      <td>1583</td>\n",
       "      <td>6.86</td>\n",
       "      <td>55</td>\n",
       "      <td>988</td>\n",
       "      <td>£25.34</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>33</th>\n",
       "      <td>San Francisco</td>\n",
       "      <td>34</td>\n",
       "      <td>3062</td>\n",
       "      <td>£1.60</td>\n",
       "      <td>36.20%</td>\n",
       "      <td>78.8</td>\n",
       "      <td>47.36</td>\n",
       "      <td>1779</td>\n",
       "      <td>6.94</td>\n",
       "      <td>242</td>\n",
       "      <td>1031</td>\n",
       "      <td>£65.13</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>34</th>\n",
       "      <td>Paris</td>\n",
       "      <td>35</td>\n",
       "      <td>1662</td>\n",
       "      <td>£1.95</td>\n",
       "      <td>21.60%</td>\n",
       "      <td>81.8</td>\n",
       "      <td>65.10</td>\n",
       "      <td>1505</td>\n",
       "      <td>6.66</td>\n",
       "      <td>331</td>\n",
       "      <td>4363</td>\n",
       "      <td>£35.93</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>35</th>\n",
       "      <td>Sao Paulo</td>\n",
       "      <td>36</td>\n",
       "      <td>2003</td>\n",
       "      <td>£0.44</td>\n",
       "      <td>22.10%</td>\n",
       "      <td>73.9</td>\n",
       "      <td>79.78</td>\n",
       "      <td>-</td>\n",
       "      <td>6.37</td>\n",
       "      <td>158</td>\n",
       "      <td>3355</td>\n",
       "      <td>£16.07</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36</th>\n",
       "      <td>Zurich</td>\n",
       "      <td>37</td>\n",
       "      <td>1566</td>\n",
       "      <td>£3.20</td>\n",
       "      <td>19.50%</td>\n",
       "      <td>82.6</td>\n",
       "      <td>17.31</td>\n",
       "      <td>1557</td>\n",
       "      <td>7.56</td>\n",
       "      <td>69</td>\n",
       "      <td>538</td>\n",
       "      <td>£73.11</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>37</th>\n",
       "      <td>London</td>\n",
       "      <td>38</td>\n",
       "      <td>1633</td>\n",
       "      <td>£1.16</td>\n",
       "      <td>27.80%</td>\n",
       "      <td>80.4</td>\n",
       "      <td>58.91</td>\n",
       "      <td>1538</td>\n",
       "      <td>7.16</td>\n",
       "      <td>433</td>\n",
       "      <td>6417</td>\n",
       "      <td>£42.71</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>38</th>\n",
       "      <td>Johannesburg</td>\n",
       "      <td>39</td>\n",
       "      <td>3124</td>\n",
       "      <td>£0.59</td>\n",
       "      <td>28.30%</td>\n",
       "      <td>56.3</td>\n",
       "      <td>61.83</td>\n",
       "      <td>-</td>\n",
       "      <td>4.81</td>\n",
       "      <td>194</td>\n",
       "      <td>492</td>\n",
       "      <td>£24.28</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>39</th>\n",
       "      <td>Milan</td>\n",
       "      <td>40</td>\n",
       "      <td>1915</td>\n",
       "      <td>£1.15</td>\n",
       "      <td>19.90%</td>\n",
       "      <td>82.7</td>\n",
       "      <td>67.19</td>\n",
       "      <td>1718</td>\n",
       "      <td>6.38</td>\n",
       "      <td>110</td>\n",
       "      <td>2396</td>\n",
       "      <td>£53.49</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>40</th>\n",
       "      <td>Washington, D.C.</td>\n",
       "      <td>41</td>\n",
       "      <td>2528</td>\n",
       "      <td>£1.45</td>\n",
       "      <td>36.20%</td>\n",
       "      <td>78.8</td>\n",
       "      <td>39.18</td>\n",
       "      <td>1779</td>\n",
       "      <td>6.94</td>\n",
       "      <td>83</td>\n",
       "      <td>744</td>\n",
       "      <td>£65.99</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41</th>\n",
       "      <td>New York</td>\n",
       "      <td>42</td>\n",
       "      <td>2535</td>\n",
       "      <td>£1.32</td>\n",
       "      <td>36.20%</td>\n",
       "      <td>78.8</td>\n",
       "      <td>57.36</td>\n",
       "      <td>1779</td>\n",
       "      <td>6.94</td>\n",
       "      <td>359</td>\n",
       "      <td>3081</td>\n",
       "      <td>£64.66</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42</th>\n",
       "      <td>Moscow</td>\n",
       "      <td>43</td>\n",
       "      <td>1901</td>\n",
       "      <td>£0.41</td>\n",
       "      <td>23.10%</td>\n",
       "      <td>69.5</td>\n",
       "      <td>57.63</td>\n",
       "      <td>1965</td>\n",
       "      <td>5.54</td>\n",
       "      <td>322</td>\n",
       "      <td>3206</td>\n",
       "      <td>£31.40</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43</th>\n",
       "      <td>Mexico City</td>\n",
       "      <td>44</td>\n",
       "      <td>2555</td>\n",
       "      <td>£0.45</td>\n",
       "      <td>28.90%</td>\n",
       "      <td>76.4</td>\n",
       "      <td>82.78</td>\n",
       "      <td>2137</td>\n",
       "      <td>6.46</td>\n",
       "      <td>192</td>\n",
       "      <td>1313</td>\n",
       "      <td>£41.99</td>\n",
       "      <td>0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                City  Rank Sunshine hours(City)  \\\n",
       "0          Amsterdam     1                 1858   \n",
       "1             Sydney     2                 2636   \n",
       "2             Vienna     3                 1884   \n",
       "3          Stockholm     4                 1821   \n",
       "4         Copenhagen     5                 1630   \n",
       "5           Helsinki     6                 1662   \n",
       "6            Fukuoka     7                 2769   \n",
       "7             Berlin     8                 1626   \n",
       "8          Barcelona     9                 2591   \n",
       "9          Vancouver    10                 1938   \n",
       "10         Melbourne    11                 2363   \n",
       "11           Beijing    12                 2671   \n",
       "12           Bangkok    13                 2624   \n",
       "13      Buenos Aires    14                 2525   \n",
       "14           Toronto    15                 2066   \n",
       "15            Madrid    16                 2769   \n",
       "16           Jakarta    17                 2983   \n",
       "17             Seoul    18                 2066   \n",
       "18         Frankfurt    19                 1662   \n",
       "19            Geneva    20                    -   \n",
       "20          Tel Aviv    21                 3311   \n",
       "21          Istanbul    22                 2218   \n",
       "22             Cairo    23                 3542   \n",
       "23            Taipei    24                 1405   \n",
       "24       Los Angeles    25                 3254   \n",
       "25            Mumbai    26                 2584   \n",
       "26            Boston    27                 2634   \n",
       "27            Dublin    28                 1453   \n",
       "28             Tokyo    29                 1877   \n",
       "29           Chicago    30                 2508   \n",
       "30         Hong Kong    31                 1836   \n",
       "31          Shanghai    32                 1776   \n",
       "32          Brussels    33                 1546   \n",
       "33     San Francisco    34                 3062   \n",
       "34             Paris    35                 1662   \n",
       "35         Sao Paulo    36                 2003   \n",
       "36            Zurich    37                 1566   \n",
       "37            London    38                 1633   \n",
       "38      Johannesburg    39                 3124   \n",
       "39             Milan    40                 1915   \n",
       "40  Washington, D.C.    41                 2528   \n",
       "41          New York    42                 2535   \n",
       "42            Moscow    43                 1901   \n",
       "43       Mexico City    44                 2555   \n",
       "\n",
       "   Cost of a bottle of water(City) Obesity levels(Country)  \\\n",
       "0                            £1.92                  20.40%   \n",
       "1                            £1.48                  29.00%   \n",
       "2                            £1.94                  20.10%   \n",
       "3                            £1.72                  20.60%   \n",
       "4                            £2.19                  19.70%   \n",
       "5                            £1.60                  22.20%   \n",
       "6                            £0.78                   4.30%   \n",
       "7                            £1.55                  22.30%   \n",
       "8                            £1.19                  23.80%   \n",
       "9                            £1.08                  29.40%   \n",
       "10                           £1.57                  29.00%   \n",
       "11                           £0.26                   6.20%   \n",
       "12                           £0.22                  10.00%   \n",
       "13                           £0.57                  28.30%   \n",
       "14                           £1.09                  29.40%   \n",
       "15                           £1.30                  23.80%   \n",
       "16                           £0.21                   6.90%   \n",
       "17                           £0.59                   4.70%   \n",
       "18                           £1.95                  22.30%   \n",
       "19                           £2.62                  19.50%   \n",
       "20                           £1.63                  26.10%   \n",
       "21                           £0.15                  32.10%   \n",
       "22                           £0.16                  32.00%   \n",
       "23                           £0.57                   6.20%   \n",
       "24                           £1.52                  36.20%   \n",
       "25                           £0.15                   3.90%   \n",
       "26                           £1.39                  36.20%   \n",
       "27                           £1.40                  25.30%   \n",
       "28                           £0.76                   4.30%   \n",
       "29                           £1.20                  36.20%   \n",
       "30                           £0.75                   6.20%   \n",
       "31                           £0.29                   6.20%   \n",
       "32                           £2.11                  22.10%   \n",
       "33                           £1.60                  36.20%   \n",
       "34                           £1.95                  21.60%   \n",
       "35                           £0.44                  22.10%   \n",
       "36                           £3.20                  19.50%   \n",
       "37                           £1.16                  27.80%   \n",
       "38                           £0.59                  28.30%   \n",
       "39                           £1.15                  19.90%   \n",
       "40                           £1.45                  36.20%   \n",
       "41                           £1.32                  36.20%   \n",
       "42                           £0.41                  23.10%   \n",
       "43                           £0.45                  28.90%   \n",
       "\n",
       "    Life expectancy(years) (Country) Pollution(Index score) (City)  \\\n",
       "0                               81.2                         30.93   \n",
       "1                               82.1                         26.86   \n",
       "2                               81.0                         17.33   \n",
       "3                               81.8                         19.63   \n",
       "4                               79.8                         21.24   \n",
       "5                               80.4                         13.08   \n",
       "6                               83.2                             -   \n",
       "7                               80.6                         39.41   \n",
       "8                               82.2                         65.19   \n",
       "9                               81.7                         24.26   \n",
       "10                              82.1                         25.90   \n",
       "11                              75.4                         85.43   \n",
       "12                              74.1                         76.64   \n",
       "13                              75.9                         52.64   \n",
       "14                              81.7                         37.83   \n",
       "15                              82.2                         52.68   \n",
       "16                              68.5                         84.39   \n",
       "17                              81.3                         57.82   \n",
       "18                              80.6                         37.78   \n",
       "19                              82.6                         27.25   \n",
       "20                              81.9                         47.28   \n",
       "21                              74.7                         69.49   \n",
       "22                              70.7                         91.74   \n",
       "23                              75.4                         49.32   \n",
       "24                              78.8                         66.07   \n",
       "25                              67.3                         82.84   \n",
       "26                              78.8                         27.03   \n",
       "27                              80.5                         40.07   \n",
       "28                              83.2                         42.84   \n",
       "29                              78.8                         43.33   \n",
       "30                              75.4                         67.46   \n",
       "31                              75.4                         77.40   \n",
       "32                              80.4                         62.67   \n",
       "33                              78.8                         47.36   \n",
       "34                              81.8                         65.10   \n",
       "35                              73.9                         79.78   \n",
       "36                              82.6                         17.31   \n",
       "37                              80.4                         58.91   \n",
       "38                              56.3                         61.83   \n",
       "39                              82.7                         67.19   \n",
       "40                              78.8                         39.18   \n",
       "41                              78.8                         57.36   \n",
       "42                              69.5                         57.63   \n",
       "43                              76.4                         82.78   \n",
       "\n",
       "   Annual avg. hours worked  Happiness levels(Country)  \\\n",
       "0                      1434                       7.44   \n",
       "1                      1712                       7.22   \n",
       "2                      1501                       7.29   \n",
       "3                      1452                       7.35   \n",
       "4                      1380                       7.64   \n",
       "5                      1540                       7.80   \n",
       "6                      1644                       5.87   \n",
       "7                      1386                       7.07   \n",
       "8                      1686                       6.40   \n",
       "9                      1670                       7.23   \n",
       "10                     1712                       7.22   \n",
       "11                        -                       5.12   \n",
       "12                        -                       5.99   \n",
       "13                        -                       5.97   \n",
       "14                     1670                       7.23   \n",
       "15                     1686                       6.40   \n",
       "16                        -                       5.28   \n",
       "17                     1967                       5.87   \n",
       "18                     1386                       7.07   \n",
       "19                     1557                       7.56   \n",
       "20                     1898                       7.12   \n",
       "21                     1832                       5.13   \n",
       "22                        -                       4.15   \n",
       "23                        -                       5.12   \n",
       "24                     1779                       6.94   \n",
       "25                        -                       3.57   \n",
       "26                     1779                       6.94   \n",
       "27                     1772                       7.09   \n",
       "28                     1644                       5.87   \n",
       "29                     1779                       6.94   \n",
       "30                        -                       5.51   \n",
       "31                        -                       5.12   \n",
       "32                     1583                       6.86   \n",
       "33                     1779                       6.94   \n",
       "34                     1505                       6.66   \n",
       "35                        -                       6.37   \n",
       "36                     1557                       7.56   \n",
       "37                     1538                       7.16   \n",
       "38                        -                       4.81   \n",
       "39                     1718                       6.38   \n",
       "40                     1779                       6.94   \n",
       "41                     1779                       6.94   \n",
       "42                     1965                       5.54   \n",
       "43                     2137                       6.46   \n",
       "\n",
       "    Outdoor activities(City)  Number of take out places(City)  \\\n",
       "0                        422                             1048   \n",
       "1                        406                             1103   \n",
       "2                        132                             1008   \n",
       "3                        129                              598   \n",
       "4                        154                              523   \n",
       "5                        113                              309   \n",
       "6                         35                              539   \n",
       "7                        254                             1729   \n",
       "8                        585                             2344   \n",
       "9                        218                              788   \n",
       "10                       243                              813   \n",
       "11                       223                              261   \n",
       "12                       377                             1796   \n",
       "13                       246                             1435   \n",
       "14                       174                             1656   \n",
       "15                       216                             2491   \n",
       "16                       114                              833   \n",
       "17                       144                              389   \n",
       "18                        23                              551   \n",
       "19                        44                              444   \n",
       "20                       139                              420   \n",
       "21                       419                              934   \n",
       "22                       323                              250   \n",
       "23                       134                              717   \n",
       "24                       223                             1439   \n",
       "25                       187                             1183   \n",
       "26                        88                              588   \n",
       "27                       159                              659   \n",
       "28                       387                             5802   \n",
       "29                       171                             1320   \n",
       "30                       277                             1257   \n",
       "31                       108                              346   \n",
       "32                        55                              988   \n",
       "33                       242                             1031   \n",
       "34                       331                             4363   \n",
       "35                       158                             3355   \n",
       "36                        69                              538   \n",
       "37                       433                             6417   \n",
       "38                       194                              492   \n",
       "39                       110                             2396   \n",
       "40                        83                              744   \n",
       "41                       359                             3081   \n",
       "42                       322                             3206   \n",
       "43                       192                             1313   \n",
       "\n",
       "   Cost of a monthly gym membership(City)  cluster  \n",
       "0                                  £34.90        0  \n",
       "1                                  £41.66        0  \n",
       "2                                  £25.74        0  \n",
       "3                                  £37.31        0  \n",
       "4                                  £32.53        0  \n",
       "5                                  £35.23        0  \n",
       "6                                  £55.87        0  \n",
       "7                                  £26.11        0  \n",
       "8                                  £37.80        0  \n",
       "9                                  £31.04        0  \n",
       "10                                 £36.89        0  \n",
       "11                                 £38.62        0  \n",
       "12                                 £50.03        0  \n",
       "13                                 £22.45        0  \n",
       "14                                 £32.64        0  \n",
       "15                                 £34.54        0  \n",
       "16                                 £29.94        0  \n",
       "17                                 £43.03        0  \n",
       "18                                 £39.01        0  \n",
       "19                                 £70.00        0  \n",
       "20                                 £58.31        0  \n",
       "21                                 £16.97        0  \n",
       "22                                 £23.25        0  \n",
       "23                                 £34.76        0  \n",
       "24                                 £32.00        0  \n",
       "25                                 £19.54        0  \n",
       "26                                 £46.27        0  \n",
       "27                                 £37.35        0  \n",
       "28                                 £70.82        1  \n",
       "29                                 £41.14        0  \n",
       "30                                 £57.95        0  \n",
       "31                                 £44.68        0  \n",
       "32                                 £25.34        0  \n",
       "33                                 £65.13        0  \n",
       "34                                 £35.93        1  \n",
       "35                                 £16.07        1  \n",
       "36                                 £73.11        0  \n",
       "37                                 £42.71        1  \n",
       "38                                 £24.28        0  \n",
       "39                                 £53.49        0  \n",
       "40                                 £65.99        0  \n",
       "41                                 £64.66        1  \n",
       "42                                 £31.40        1  \n",
       "43                                 £41.99        0  "
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df2"
   ]
  }
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