initial.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.decomposition import PCA\n",
    "from sklearn.preprocessing import OneHotEncoder"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(\"data/train_values.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>building_id</th>\n",
       "      <th>geo_level_1_id</th>\n",
       "      <th>geo_level_2_id</th>\n",
       "      <th>geo_level_3_id</th>\n",
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       "      <th>foundation_type</th>\n",
       "      <th>...</th>\n",
       "      <th>has_secondary_use_agriculture</th>\n",
       "      <th>has_secondary_use_hotel</th>\n",
       "      <th>has_secondary_use_rental</th>\n",
       "      <th>has_secondary_use_institution</th>\n",
       "      <th>has_secondary_use_school</th>\n",
       "      <th>has_secondary_use_industry</th>\n",
       "      <th>has_secondary_use_health_post</th>\n",
       "      <th>has_secondary_use_gov_office</th>\n",
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       "      <th>3</th>\n",
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       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "   building_id  geo_level_1_id  geo_level_2_id  geo_level_3_id  \\\n",
       "0       802906               6             487           12198   \n",
       "1        28830               8             900            2812   \n",
       "2        94947              21             363            8973   \n",
       "3       590882              22             418           10694   \n",
       "4       201944              11             131            1488   \n",
       "\n",
       "   count_floors_pre_eq  age  area_percentage  height_percentage  \\\n",
       "0                    2   30                6                  5   \n",
       "1                    2   10                8                  7   \n",
       "2                    2   10                5                  5   \n",
       "3                    2   10                6                  5   \n",
       "4                    3   30                8                  9   \n",
       "\n",
       "  land_surface_condition foundation_type  ... has_secondary_use_agriculture  \\\n",
       "0                      t               r  ...                             0   \n",
       "1                      o               r  ...                             0   \n",
       "2                      t               r  ...                             0   \n",
       "3                      t               r  ...                             0   \n",
       "4                      t               r  ...                             0   \n",
       "\n",
       "  has_secondary_use_hotel has_secondary_use_rental  \\\n",
       "0                       0                        0   \n",
       "1                       0                        0   \n",
       "2                       0                        0   \n",
       "3                       0                        0   \n",
       "4                       0                        0   \n",
       "\n",
       "  has_secondary_use_institution has_secondary_use_school  \\\n",
       "0                             0                        0   \n",
       "1                             0                        0   \n",
       "2                             0                        0   \n",
       "3                             0                        0   \n",
       "4                             0                        0   \n",
       "\n",
       "   has_secondary_use_industry  has_secondary_use_health_post  \\\n",
       "0                           0                              0   \n",
       "1                           0                              0   \n",
       "2                           0                              0   \n",
       "3                           0                              0   \n",
       "4                           0                              0   \n",
       "\n",
       "   has_secondary_use_gov_office  has_secondary_use_use_police  \\\n",
       "0                             0                             0   \n",
       "1                             0                             0   \n",
       "2                             0                             0   \n",
       "3                             0                             0   \n",
       "4                             0                             0   \n",
       "\n",
       "   has_secondary_use_other  \n",
       "0                        0  \n",
       "1                        0  \n",
       "2                        0  \n",
       "3                        0  \n",
       "4                        0  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Index(['building_id', 'geo_level_1_id', 'geo_level_2_id', 'geo_level_3_id',\n",
       "       'count_floors_pre_eq', 'age', 'area_percentage', 'height_percentage',\n",
       "       'land_surface_condition', 'foundation_type', 'roof_type',\n",
       "       'ground_floor_type', 'other_floor_type', 'position',\n",
       "       'plan_configuration', 'has_superstructure_adobe_mud',\n",
       "       'has_superstructure_mud_mortar_stone', 'has_superstructure_stone_flag',\n",
       "       'has_superstructure_cement_mortar_stone',\n",
       "       'has_superstructure_mud_mortar_brick',\n",
       "       'has_superstructure_cement_mortar_brick', 'has_superstructure_timber',\n",
       "       'has_superstructure_bamboo', 'has_superstructure_rc_non_engineered',\n",
       "       'has_superstructure_rc_engineered', 'has_superstructure_other',\n",
       "       'legal_ownership_status', 'count_families', 'has_secondary_use',\n",
       "       'has_secondary_use_agriculture', 'has_secondary_use_hotel',\n",
       "       'has_secondary_use_rental', 'has_secondary_use_institution',\n",
       "       'has_secondary_use_school', 'has_secondary_use_industry',\n",
       "       'has_secondary_use_health_post', 'has_secondary_use_gov_office',\n",
       "       'has_secondary_use_use_police', 'has_secondary_use_other'],\n",
       "      dtype='object')"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.columns"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [],
   "source": [
    "labels = pd.read_csv(\"data/train_labels.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
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      "text/plain": [
       "   building_id  damage_grade\n",
       "0       802906             3\n",
       "1        28830             2\n",
       "2        94947             3\n",
       "3       590882             2\n",
       "4       201944             3"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = df.sort_values(\"building_id\")\n",
    "labels = labels.sort_values(\"building_id\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
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       "  </tbody>\n",
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       "<p>5 rows × 39 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        building_id  geo_level_1_id  geo_level_2_id  geo_level_3_id  \\\n",
       "47748             4              30             266            1224   \n",
       "212102            8              17             409           12182   \n",
       "60133            12              17             716            7056   \n",
       "34181            16               4             651             105   \n",
       "25045            17               3            1387            3909   \n",
       "\n",
       "        count_floors_pre_eq  age  area_percentage  height_percentage  \\\n",
       "47748                     1   25                5                  2   \n",
       "212102                    2    0               13                  7   \n",
       "60133                     2    5               12                  6   \n",
       "34181                     2   80                5                  4   \n",
       "25045                     5   40                5                 10   \n",
       "\n",
       "       land_surface_condition foundation_type  ...  \\\n",
       "47748                       t               r  ...   \n",
       "212102                      t               r  ...   \n",
       "60133                       o               r  ...   \n",
       "34181                       n               r  ...   \n",
       "25045                       t               r  ...   \n",
       "\n",
       "       has_secondary_use_agriculture has_secondary_use_hotel  \\\n",
       "47748                              0                       0   \n",
       "212102                             0                       0   \n",
       "60133                              0                       0   \n",
       "34181                              0                       0   \n",
       "25045                              0                       0   \n",
       "\n",
       "       has_secondary_use_rental has_secondary_use_institution  \\\n",
       "47748                         0                             0   \n",
       "212102                        0                             0   \n",
       "60133                         0                             0   \n",
       "34181                         0                             0   \n",
       "25045                         0                             0   \n",
       "\n",
       "       has_secondary_use_school  has_secondary_use_industry  \\\n",
       "47748                         0                           0   \n",
       "212102                        0                           0   \n",
       "60133                         0                           0   \n",
       "34181                         0                           0   \n",
       "25045                         0                           0   \n",
       "\n",
       "        has_secondary_use_health_post  has_secondary_use_gov_office  \\\n",
       "47748                               0                             0   \n",
       "212102                              0                             0   \n",
       "60133                               0                             0   \n",
       "34181                               0                             0   \n",
       "25045                               0                             0   \n",
       "\n",
       "        has_secondary_use_use_police  has_secondary_use_other  \n",
       "47748                              0                        0  \n",
       "212102                             0                        0  \n",
       "60133                              0                        0  \n",
       "34181                              0                        0  \n",
       "25045                              0                        0  \n",
       "\n",
       "[5 rows x 39 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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      "text/plain": [
       "        building_id  damage_grade\n",
       "47748             4             2\n",
       "212102            8             3\n",
       "60133            12             3\n",
       "34181            16             2\n",
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     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "labels.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "df[\"damage_grade\"] = labels[\"damage_grade\"]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
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      ],
      "text/plain": [
       "        building_id  geo_level_1_id  geo_level_2_id  geo_level_3_id  \\\n",
       "47748             4              30             266            1224   \n",
       "212102            8              17             409           12182   \n",
       "60133            12              17             716            7056   \n",
       "34181            16               4             651             105   \n",
       "25045            17               3            1387            3909   \n",
       "\n",
       "        count_floors_pre_eq  age  area_percentage  height_percentage  \\\n",
       "47748                     1   25                5                  2   \n",
       "212102                    2    0               13                  7   \n",
       "60133                     2    5               12                  6   \n",
       "34181                     2   80                5                  4   \n",
       "25045                     5   40                5                 10   \n",
       "\n",
       "       land_surface_condition foundation_type  ... has_secondary_use_hotel  \\\n",
       "47748                       t               r  ...                       0   \n",
       "212102                      t               r  ...                       0   \n",
       "60133                       o               r  ...                       0   \n",
       "34181                       n               r  ...                       0   \n",
       "25045                       t               r  ...                       0   \n",
       "\n",
       "       has_secondary_use_rental has_secondary_use_institution  \\\n",
       "47748                         0                             0   \n",
       "212102                        0                             0   \n",
       "60133                         0                             0   \n",
       "34181                         0                             0   \n",
       "25045                         0                             0   \n",
       "\n",
       "       has_secondary_use_school has_secondary_use_industry  \\\n",
       "47748                         0                          0   \n",
       "212102                        0                          0   \n",
       "60133                         0                          0   \n",
       "34181                         0                          0   \n",
       "25045                         0                          0   \n",
       "\n",
       "        has_secondary_use_health_post  has_secondary_use_gov_office  \\\n",
       "47748                               0                             0   \n",
       "212102                              0                             0   \n",
       "60133                               0                             0   \n",
       "34181                               0                             0   \n",
       "25045                               0                             0   \n",
       "\n",
       "        has_secondary_use_use_police  has_secondary_use_other  damage_grade  \n",
       "47748                              0                        0             2  \n",
       "212102                             0                        0             3  \n",
       "60133                              0                        0             3  \n",
       "34181                              0                        0             2  \n",
       "25045                              0                        0             2  \n",
       "\n",
       "[5 rows x 40 columns]"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [],
   "source": [
    "df.to_csv(\"data/labeled_train.csv\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<matplotlib.axes._subplots.AxesSubplot at 0x7f21739aeb38>"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.rcParams[\"figure.figsize\"] = (20,20)\n",
    "sns.heatmap(df.corr())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x1440 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "DEPOSIT_COLUMN = 'damage_grade'\n",
    "correlation_matrix = df.corr()\n",
    "def plot_deposit_correlations(data):\n",
    "    '''\n",
    "    Isolates the deposit columns of the correlation matrix and visualize it.\n",
    "    '''\n",
    "    deposit_correlation_column = pd.DataFrame(correlation_matrix[DEPOSIT_COLUMN].drop(DEPOSIT_COLUMN))\n",
    "    deposit_correlation_column = deposit_correlation_column.sort_values(by=DEPOSIT_COLUMN, ascending=False)\n",
    "    sns.heatmap(deposit_correlation_column)\n",
    "    plt.title('Heatmap of Deposit Variable Correlations')\n",
    "    \n",
    "plot_deposit_correlations(df)\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "metadata": {},
   "outputs": [],
   "source": [
    "pca = PCA(n_components=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "could not convert string to float: 't'",
     "output_type": "error",
     "traceback": [
      "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[0;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[0;32m<ipython-input-51-ee5caec31e5d>\u001b[0m in \u001b[0;36m<module>\u001b[0;34m\u001b[0m\n\u001b[0;32m----> 1\u001b[0;31m \u001b[0mpca\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mfit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mdf\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mdrop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"damage_grade\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0maxis\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m1\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/sklearn/decomposition/pca.py\u001b[0m in \u001b[0;36mfit\u001b[0;34m(self, X, y)\u001b[0m\n\u001b[1;32m    339\u001b[0m             \u001b[0mReturns\u001b[0m \u001b[0mthe\u001b[0m \u001b[0minstance\u001b[0m \u001b[0mitself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    340\u001b[0m         \"\"\"\n\u001b[0;32m--> 341\u001b[0;31m         \u001b[0mself\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0m_fit\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mX\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    342\u001b[0m         \u001b[0;32mreturn\u001b[0m \u001b[0mself\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    343\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/sklearn/decomposition/pca.py\u001b[0m in \u001b[0;36m_fit\u001b[0;34m(self, X)\u001b[0m\n\u001b[1;32m    380\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    381\u001b[0m         X = check_array(X, dtype=[np.float64, np.float32], ensure_2d=True,\n\u001b[0;32m--> 382\u001b[0;31m                         copy=self.copy)\n\u001b[0m\u001b[1;32m    383\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    384\u001b[0m         \u001b[0;31m# Handle n_components==None\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/sklearn/utils/validation.py\u001b[0m in \u001b[0;36mcheck_array\u001b[0;34m(array, accept_sparse, accept_large_sparse, dtype, order, copy, force_all_finite, ensure_2d, allow_nd, ensure_min_samples, ensure_min_features, warn_on_dtype, estimator)\u001b[0m\n\u001b[1;32m    494\u001b[0m             \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    495\u001b[0m                 \u001b[0mwarnings\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0msimplefilter\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m'error'\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mComplexWarning\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 496\u001b[0;31m                 \u001b[0marray\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0masarray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0marray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morder\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0morder\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    497\u001b[0m             \u001b[0;32mexcept\u001b[0m \u001b[0mComplexWarning\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    498\u001b[0m                 raise ValueError(\"Complex data not supported\\n\"\n",
      "\u001b[0;32m~/anaconda3/lib/python3.7/site-packages/numpy/core/numeric.py\u001b[0m in \u001b[0;36masarray\u001b[0;34m(a, dtype, order)\u001b[0m\n\u001b[1;32m    536\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    537\u001b[0m     \"\"\"\n\u001b[0;32m--> 538\u001b[0;31m     \u001b[0;32mreturn\u001b[0m \u001b[0marray\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0ma\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mcopy\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;32mFalse\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0morder\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0morder\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m    539\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m    540\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n",
      "\u001b[0;31mValueError\u001b[0m: could not convert string to float: 't'"
     ]
    }
   ],
   "source": [
    "pca.fit(df.drop(\"damage_grade\", axis=1))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>2</td>\n",
       "      <td>50</td>\n",
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       "      <td>5</td>\n",
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       "      <td>r</td>\n",
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       "      <td>0</td>\n",
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       "    <tr>\n",
       "      <th>113045</th>\n",
       "      <td>46</td>\n",
       "      <td>21</td>\n",
       "      <td>935</td>\n",
       "      <td>9689</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>117341</th>\n",
       "      <td>47</td>\n",
       "      <td>10</td>\n",
       "      <td>310</td>\n",
       "      <td>5331</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>n</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199791</th>\n",
       "      <td>50</td>\n",
       "      <td>26</td>\n",
       "      <td>39</td>\n",
       "      <td>85</td>\n",
       "      <td>1</td>\n",
       "      <td>10</td>\n",
       "      <td>16</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>u</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>106730</th>\n",
       "      <td>60</td>\n",
       "      <td>6</td>\n",
       "      <td>376</td>\n",
       "      <td>10236</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>u</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100198</th>\n",
       "      <td>61</td>\n",
       "      <td>27</td>\n",
       "      <td>1394</td>\n",
       "      <td>4186</td>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>202686</th>\n",
       "      <td>63</td>\n",
       "      <td>17</td>\n",
       "      <td>490</td>\n",
       "      <td>7900</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>8</td>\n",
       "      <td>2</td>\n",
       "      <td>o</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>8093</th>\n",
       "      <td>65</td>\n",
       "      <td>16</td>\n",
       "      <td>1300</td>\n",
       "      <td>5923</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>32541</th>\n",
       "      <td>68</td>\n",
       "      <td>8</td>\n",
       "      <td>1414</td>\n",
       "      <td>266</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>178908</th>\n",
       "      <td>72</td>\n",
       "      <td>21</td>\n",
       "      <td>1406</td>\n",
       "      <td>7261</td>\n",
       "      <td>3</td>\n",
       "      <td>30</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>156483</th>\n",
       "      <td>73</td>\n",
       "      <td>6</td>\n",
       "      <td>673</td>\n",
       "      <td>12181</td>\n",
       "      <td>4</td>\n",
       "      <td>20</td>\n",
       "      <td>15</td>\n",
       "      <td>14</td>\n",
       "      <td>t</td>\n",
       "      <td>u</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>227370</th>\n",
       "      <td>74</td>\n",
       "      <td>26</td>\n",
       "      <td>1028</td>\n",
       "      <td>10155</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>141517</th>\n",
       "      <td>75</td>\n",
       "      <td>13</td>\n",
       "      <td>777</td>\n",
       "      <td>4789</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>258740</th>\n",
       "      <td>79</td>\n",
       "      <td>17</td>\n",
       "      <td>875</td>\n",
       "      <td>4382</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>4</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100808</th>\n",
       "      <td>80</td>\n",
       "      <td>9</td>\n",
       "      <td>431</td>\n",
       "      <td>8639</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>u</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>174394</th>\n",
       "      <td>81</td>\n",
       "      <td>26</td>\n",
       "      <td>39</td>\n",
       "      <td>9133</td>\n",
       "      <td>1</td>\n",
       "      <td>15</td>\n",
       "      <td>21</td>\n",
       "      <td>3</td>\n",
       "      <td>t</td>\n",
       "      <td>i</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196180</th>\n",
       "      <td>90</td>\n",
       "      <td>21</td>\n",
       "      <td>300</td>\n",
       "      <td>7845</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>7</td>\n",
       "      <td>7</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>169368</th>\n",
       "      <td>1052826</td>\n",
       "      <td>7</td>\n",
       "      <td>675</td>\n",
       "      <td>4736</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>4</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>185775</th>\n",
       "      <td>1052828</td>\n",
       "      <td>10</td>\n",
       "      <td>88</td>\n",
       "      <td>2677</td>\n",
       "      <td>2</td>\n",
       "      <td>35</td>\n",
       "      <td>3</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>181975</th>\n",
       "      <td>1052830</td>\n",
       "      <td>4</td>\n",
       "      <td>1334</td>\n",
       "      <td>9753</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>123234</th>\n",
       "      <td>1052835</td>\n",
       "      <td>0</td>\n",
       "      <td>357</td>\n",
       "      <td>9459</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>n</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>211613</th>\n",
       "      <td>1052846</td>\n",
       "      <td>10</td>\n",
       "      <td>760</td>\n",
       "      <td>226</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>4</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>22937</th>\n",
       "      <td>1052847</td>\n",
       "      <td>20</td>\n",
       "      <td>368</td>\n",
       "      <td>5980</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>8</td>\n",
       "      <td>7</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>250462</th>\n",
       "      <td>1052853</td>\n",
       "      <td>26</td>\n",
       "      <td>435</td>\n",
       "      <td>10275</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>19731</th>\n",
       "      <td>1052855</td>\n",
       "      <td>26</td>\n",
       "      <td>1377</td>\n",
       "      <td>8705</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>9</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>w</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>228030</th>\n",
       "      <td>1052856</td>\n",
       "      <td>21</td>\n",
       "      <td>363</td>\n",
       "      <td>12277</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>36958</th>\n",
       "      <td>1052867</td>\n",
       "      <td>1</td>\n",
       "      <td>122</td>\n",
       "      <td>7764</td>\n",
       "      <td>3</td>\n",
       "      <td>10</td>\n",
       "      <td>18</td>\n",
       "      <td>7</td>\n",
       "      <td>n</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>87046</th>\n",
       "      <td>1052878</td>\n",
       "      <td>4</td>\n",
       "      <td>40</td>\n",
       "      <td>3858</td>\n",
       "      <td>2</td>\n",
       "      <td>30</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148164</th>\n",
       "      <td>1052879</td>\n",
       "      <td>20</td>\n",
       "      <td>270</td>\n",
       "      <td>6121</td>\n",
       "      <td>2</td>\n",
       "      <td>15</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>w</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>27035</th>\n",
       "      <td>1052880</td>\n",
       "      <td>6</td>\n",
       "      <td>845</td>\n",
       "      <td>7126</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>42807</th>\n",
       "      <td>1052883</td>\n",
       "      <td>6</td>\n",
       "      <td>487</td>\n",
       "      <td>6845</td>\n",
       "      <td>2</td>\n",
       "      <td>20</td>\n",
       "      <td>3</td>\n",
       "      <td>6</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>132608</th>\n",
       "      <td>1052893</td>\n",
       "      <td>27</td>\n",
       "      <td>1394</td>\n",
       "      <td>8008</td>\n",
       "      <td>3</td>\n",
       "      <td>50</td>\n",
       "      <td>7</td>\n",
       "      <td>6</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>51431</th>\n",
       "      <td>1052894</td>\n",
       "      <td>15</td>\n",
       "      <td>914</td>\n",
       "      <td>990</td>\n",
       "      <td>1</td>\n",
       "      <td>50</td>\n",
       "      <td>4</td>\n",
       "      <td>2</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>244305</th>\n",
       "      <td>1052897</td>\n",
       "      <td>1</td>\n",
       "      <td>907</td>\n",
       "      <td>6930</td>\n",
       "      <td>2</td>\n",
       "      <td>10</td>\n",
       "      <td>2</td>\n",
       "      <td>4</td>\n",
       "      <td>t</td>\n",
       "      <td>w</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>155741</th>\n",
       "      <td>1052899</td>\n",
       "      <td>22</td>\n",
       "      <td>726</td>\n",
       "      <td>10485</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>12</td>\n",
       "      <td>6</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>65493</th>\n",
       "      <td>1052900</td>\n",
       "      <td>8</td>\n",
       "      <td>396</td>\n",
       "      <td>5719</td>\n",
       "      <td>2</td>\n",
       "      <td>35</td>\n",
       "      <td>8</td>\n",
       "      <td>8</td>\n",
       "      <td>n</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>23041</th>\n",
       "      <td>1052903</td>\n",
       "      <td>6</td>\n",
       "      <td>855</td>\n",
       "      <td>11446</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>103792</th>\n",
       "      <td>1052906</td>\n",
       "      <td>20</td>\n",
       "      <td>517</td>\n",
       "      <td>9118</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>t</td>\n",
       "      <td>w</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>41216</th>\n",
       "      <td>1052908</td>\n",
       "      <td>27</td>\n",
       "      <td>1106</td>\n",
       "      <td>5595</td>\n",
       "      <td>1</td>\n",
       "      <td>5</td>\n",
       "      <td>6</td>\n",
       "      <td>2</td>\n",
       "      <td>o</td>\n",
       "      <td>h</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>239007</th>\n",
       "      <td>1052909</td>\n",
       "      <td>20</td>\n",
       "      <td>1021</td>\n",
       "      <td>10526</td>\n",
       "      <td>2</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>t</td>\n",
       "      <td>u</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>58237</th>\n",
       "      <td>1052911</td>\n",
       "      <td>8</td>\n",
       "      <td>597</td>\n",
       "      <td>11842</td>\n",
       "      <td>3</td>\n",
       "      <td>0</td>\n",
       "      <td>6</td>\n",
       "      <td>6</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>148331</th>\n",
       "      <td>1052915</td>\n",
       "      <td>10</td>\n",
       "      <td>1007</td>\n",
       "      <td>10666</td>\n",
       "      <td>2</td>\n",
       "      <td>40</td>\n",
       "      <td>5</td>\n",
       "      <td>4</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>73193</th>\n",
       "      <td>1052921</td>\n",
       "      <td>4</td>\n",
       "      <td>1235</td>\n",
       "      <td>4976</td>\n",
       "      <td>3</td>\n",
       "      <td>25</td>\n",
       "      <td>9</td>\n",
       "      <td>7</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79815</th>\n",
       "      <td>1052926</td>\n",
       "      <td>20</td>\n",
       "      <td>1359</td>\n",
       "      <td>1810</td>\n",
       "      <td>2</td>\n",
       "      <td>5</td>\n",
       "      <td>7</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79795</th>\n",
       "      <td>1052929</td>\n",
       "      <td>17</td>\n",
       "      <td>303</td>\n",
       "      <td>9803</td>\n",
       "      <td>3</td>\n",
       "      <td>55</td>\n",
       "      <td>10</td>\n",
       "      <td>6</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>241578</th>\n",
       "      <td>1052931</td>\n",
       "      <td>17</td>\n",
       "      <td>1240</td>\n",
       "      <td>6305</td>\n",
       "      <td>3</td>\n",
       "      <td>35</td>\n",
       "      <td>4</td>\n",
       "      <td>4</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>43383</th>\n",
       "      <td>1052934</td>\n",
       "      <td>8</td>\n",
       "      <td>374</td>\n",
       "      <td>698</td>\n",
       "      <td>2</td>\n",
       "      <td>45</td>\n",
       "      <td>5</td>\n",
       "      <td>5</td>\n",
       "      <td>t</td>\n",
       "      <td>r</td>\n",
       "      <td>...</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>0</td>\n",
       "      <td>0</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>260601 rows × 40 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "        building_id  geo_level_1_id  geo_level_2_id  geo_level_3_id  \\\n",
       "47748             4              30             266            1224   \n",
       "212102            8              17             409           12182   \n",
       "60133            12              17             716            7056   \n",
       "34181            16               4             651             105   \n",
       "25045            17               3            1387            3909   \n",
       "234432           25              26            1132            6645   \n",
       "228351           28               8            1297            9721   \n",
       "33426            31               6             398            4512   \n",
       "144856           34               7             555            2763   \n",
       "246970           36              20             508           10459   \n",
       "208827           39              26              74            8647   \n",
       "50540            40              10            1174            9536   \n",
       "45235            42              10             803            5136   \n",
       "119877           44               7             895            9616   \n",
       "113045           46              21             935            9689   \n",
       "117341           47              10             310            5331   \n",
       "199791           50              26              39              85   \n",
       "106730           60               6             376           10236   \n",
       "100198           61              27            1394            4186   \n",
       "202686           63              17             490            7900   \n",
       "8093             65              16            1300            5923   \n",
       "32541            68               8            1414             266   \n",
       "178908           72              21            1406            7261   \n",
       "156483           73               6             673           12181   \n",
       "227370           74              26            1028           10155   \n",
       "141517           75              13             777            4789   \n",
       "258740           79              17             875            4382   \n",
       "100808           80               9             431            8639   \n",
       "174394           81              26              39            9133   \n",
       "196180           90              21             300            7845   \n",
       "...             ...             ...             ...             ...   \n",
       "169368      1052826               7             675            4736   \n",
       "185775      1052828              10              88            2677   \n",
       "181975      1052830               4            1334            9753   \n",
       "123234      1052835               0             357            9459   \n",
       "211613      1052846              10             760             226   \n",
       "22937       1052847              20             368            5980   \n",
       "250462      1052853              26             435           10275   \n",
       "19731       1052855              26            1377            8705   \n",
       "228030      1052856              21             363           12277   \n",
       "36958       1052867               1             122            7764   \n",
       "87046       1052878               4              40            3858   \n",
       "148164      1052879              20             270            6121   \n",
       "27035       1052880               6             845            7126   \n",
       "42807       1052883               6             487            6845   \n",
       "132608      1052893              27            1394            8008   \n",
       "51431       1052894              15             914             990   \n",
       "244305      1052897               1             907            6930   \n",
       "155741      1052899              22             726           10485   \n",
       "65493       1052900               8             396            5719   \n",
       "23041       1052903               6             855           11446   \n",
       "103792      1052906              20             517            9118   \n",
       "41216       1052908              27            1106            5595   \n",
       "239007      1052909              20            1021           10526   \n",
       "58237       1052911               8             597           11842   \n",
       "148331      1052915              10            1007           10666   \n",
       "73193       1052921               4            1235            4976   \n",
       "79815       1052926              20            1359            1810   \n",
       "79795       1052929              17             303            9803   \n",
       "241578      1052931              17            1240            6305   \n",
       "43383       1052934               8             374             698   \n",
       "\n",
       "        count_floors_pre_eq  age  area_percentage  height_percentage  \\\n",
       "47748                     1   25                5                  2   \n",
       "212102                    2    0               13                  7   \n",
       "60133                     2    5               12                  6   \n",
       "34181                     2   80                5                  4   \n",
       "25045                     5   40                5                 10   \n",
       "234432                    2    0                6                  6   \n",
       "228351                    2    0                2                  6   \n",
       "33426                     2   30               10                  5   \n",
       "144856                    3   40                5                  6   \n",
       "246970                    2    5                7                  6   \n",
       "208827                    2    5                7                  7   \n",
       "50540                     2   20                5                  5   \n",
       "45235                     2   15                5                  5   \n",
       "119877                    2   50                5                  5   \n",
       "113045                    2    0                7                  4   \n",
       "117341                    2   15                6                  5   \n",
       "199791                    1   10               16                  3   \n",
       "106730                    1    5                8                  3   \n",
       "100198                    2   40                6                  6   \n",
       "202686                    1    5                8                  2   \n",
       "8093                      2   20                7                  6   \n",
       "32541                     2   15                6                  5   \n",
       "178908                    3   30                5                  5   \n",
       "156483                    4   20               15                 14   \n",
       "227370                    2    5                6                  5   \n",
       "141517                    2    0                6                  5   \n",
       "258740                    2    0                6                  4   \n",
       "100808                    1   15                7                  3   \n",
       "174394                    1   15               21                  3   \n",
       "196180                    3    0                7                  7   \n",
       "...                     ...  ...              ...                ...   \n",
       "169368                    2   15                7                  4   \n",
       "185775                    2   35                3                  5   \n",
       "181975                    3   10                8                  7   \n",
       "123234                    2   20                6                  6   \n",
       "211613                    2   15                4                  5   \n",
       "22937                     2   10                8                  7   \n",
       "250462                    2   10                5                  4   \n",
       "19731                     2   20                9                  5   \n",
       "228030                    1    5                6                  2   \n",
       "36958                     3   10               18                  7   \n",
       "87046                     2   30                6                  5   \n",
       "148164                    2   15                7                  5   \n",
       "27035                     2    5                6                  5   \n",
       "42807                     2   20                3                  6   \n",
       "132608                    3   50                7                  6   \n",
       "51431                     1   50                4                  2   \n",
       "244305                    2   10                2                  4   \n",
       "155741                    2    5               12                  6   \n",
       "65493                     2   35                8                  8   \n",
       "23041                     2    5                7                  5   \n",
       "103792                    1    5                4                  4   \n",
       "41216                     1    5                6                  2   \n",
       "239007                    2    0                6                  6   \n",
       "58237                     3    0                6                  6   \n",
       "148331                    2   40                5                  4   \n",
       "73193                     3   25                9                  7   \n",
       "79815                     2    5                7                  5   \n",
       "79795                     3   55               10                  6   \n",
       "241578                    3   35                4                  4   \n",
       "43383                     2   45                5                  5   \n",
       "\n",
       "       land_surface_condition foundation_type  ... has_secondary_use_hotel  \\\n",
       "47748                       t               r  ...                       0   \n",
       "212102                      t               r  ...                       0   \n",
       "60133                       o               r  ...                       0   \n",
       "34181                       n               r  ...                       0   \n",
       "25045                       t               r  ...                       0   \n",
       "234432                      t               w  ...                       0   \n",
       "228351                      t               r  ...                       0   \n",
       "33426                       t               r  ...                       0   \n",
       "144856                      t               r  ...                       0   \n",
       "246970                      t               w  ...                       0   \n",
       "208827                      t               r  ...                       0   \n",
       "50540                       t               r  ...                       0   \n",
       "45235                       t               r  ...                       0   \n",
       "119877                      t               r  ...                       0   \n",
       "113045                      t               r  ...                       0   \n",
       "117341                      n               r  ...                       0   \n",
       "199791                      t               u  ...                       0   \n",
       "106730                      t               u  ...                       0   \n",
       "100198                      t               r  ...                       0   \n",
       "202686                      o               r  ...                       0   \n",
       "8093                        t               r  ...                       0   \n",
       "32541                       t               r  ...                       0   \n",
       "178908                      t               r  ...                       0   \n",
       "156483                      t               u  ...                       0   \n",
       "227370                      t               r  ...                       0   \n",
       "141517                      t               r  ...                       0   \n",
       "258740                      t               r  ...                       0   \n",
       "100808                      t               u  ...                       0   \n",
       "174394                      t               i  ...                       0   \n",
       "196180                      t               r  ...                       0   \n",
       "...                       ...             ...  ...                     ...   \n",
       "169368                      t               r  ...                       0   \n",
       "185775                      t               r  ...                       0   \n",
       "181975                      t               r  ...                       0   \n",
       "123234                      n               r  ...                       0   \n",
       "211613                      t               r  ...                       0   \n",
       "22937                       t               r  ...                       0   \n",
       "250462                      t               r  ...                       0   \n",
       "19731                       t               w  ...                       0   \n",
       "228030                      t               r  ...                       0   \n",
       "36958                       n               r  ...                       0   \n",
       "87046                       t               r  ...                       0   \n",
       "148164                      t               w  ...                       0   \n",
       "27035                       t               r  ...                       0   \n",
       "42807                       t               r  ...                       0   \n",
       "132608                      t               r  ...                       0   \n",
       "51431                       t               r  ...                       0   \n",
       "244305                      t               w  ...                       0   \n",
       "155741                      t               r  ...                       0   \n",
       "65493                       n               r  ...                       0   \n",
       "23041                       t               r  ...                       0   \n",
       "103792                      t               w  ...                       0   \n",
       "41216                       o               h  ...                       0   \n",
       "239007                      t               u  ...                       1   \n",
       "58237                       t               r  ...                       0   \n",
       "148331                      t               r  ...                       0   \n",
       "73193                       t               r  ...                       0   \n",
       "79815                       t               r  ...                       0   \n",
       "79795                       t               r  ...                       0   \n",
       "241578                      t               r  ...                       0   \n",
       "43383                       t               r  ...                       0   \n",
       "\n",
       "       has_secondary_use_rental has_secondary_use_institution  \\\n",
       "47748                         0                             0   \n",
       "212102                        0                             0   \n",
       "60133                         0                             0   \n",
       "34181                         0                             0   \n",
       "25045                         0                             0   \n",
       "234432                        0                             0   \n",
       "228351                        0                             0   \n",
       "33426                         0                             0   \n",
       "144856                        0                             0   \n",
       "246970                        0                             0   \n",
       "208827                        0                             0   \n",
       "50540                         0                             0   \n",
       "45235                         0                             0   \n",
       "119877                        0                             0   \n",
       "113045                        0                             0   \n",
       "117341                        0                             0   \n",
       "199791                        0                             0   \n",
       "106730                        0                             0   \n",
       "100198                        0                             0   \n",
       "202686                        0                             0   \n",
       "8093                          0                             0   \n",
       "32541                         0                             0   \n",
       "178908                        0                             0   \n",
       "156483                        0                             0   \n",
       "227370                        0                             0   \n",
       "141517                        0                             0   \n",
       "258740                        0                             0   \n",
       "100808                        0                             0   \n",
       "174394                        0                             0   \n",
       "196180                        0                             0   \n",
       "...                         ...                           ...   \n",
       "169368                        0                             0   \n",
       "185775                        0                             0   \n",
       "181975                        0                             0   \n",
       "123234                        0                             0   \n",
       "211613                        0                             0   \n",
       "22937                         0                             0   \n",
       "250462                        0                             0   \n",
       "19731                         0                             0   \n",
       "228030                        0                             0   \n",
       "36958                         0                             0   \n",
       "87046                         0                             0   \n",
       "148164                        0                             0   \n",
       "27035                         0                             0   \n",
       "42807                         0                             0   \n",
       "132608                        0                             0   \n",
       "51431                         0                             0   \n",
       "244305                        0                             0   \n",
       "155741                        0                             0   \n",
       "65493                         0                             0   \n",
       "23041                         0                             0   \n",
       "103792                        0                             0   \n",
       "41216                         0                             0   \n",
       "239007                        0                             0   \n",
       "58237                         0                             0   \n",
       "148331                        0                             0   \n",
       "73193                         0                             0   \n",
       "79815                         0                             0   \n",
       "79795                         0                             0   \n",
       "241578                        0                             0   \n",
       "43383                         0                             0   \n",
       "\n",
       "       has_secondary_use_school has_secondary_use_industry  \\\n",
       "47748                         0                          0   \n",
       "212102                        0                          0   \n",
       "60133                         0                          0   \n",
       "34181                         0                          0   \n",
       "25045                         0                          0   \n",
       "234432                        0                          0   \n",
       "228351                        0                          0   \n",
       "33426                         0                          0   \n",
       "144856                        0                          0   \n",
       "246970                        0                          0   \n",
       "208827                        0                          0   \n",
       "50540                         0                          0   \n",
       "45235                         0                          0   \n",
       "119877                        0                          0   \n",
       "113045                        0                          0   \n",
       "117341                        0                          0   \n",
       "199791                        0                          0   \n",
       "106730                        0                          0   \n",
       "100198                        0                          0   \n",
       "202686                        0                          0   \n",
       "8093                          0                          0   \n",
       "32541                         0                          0   \n",
       "178908                        0                          0   \n",
       "156483                        0                          0   \n",
       "227370                        0                          0   \n",
       "141517                        0                          0   \n",
       "258740                        0                          0   \n",
       "100808                        0                          0   \n",
       "174394                        0                          0   \n",
       "196180                        0                          0   \n",
       "...                         ...                        ...   \n",
       "169368                        0                          0   \n",
       "185775                        0                          0   \n",
       "181975                        0                          0   \n",
       "123234                        0                          0   \n",
       "211613                        0                          0   \n",
       "22937                         0                          0   \n",
       "250462                        0                          0   \n",
       "19731                         0                          0   \n",
       "228030                        0                          0   \n",
       "36958                         0                          0   \n",
       "87046                         0                          0   \n",
       "148164                        0                          0   \n",
       "27035                         0                          0   \n",
       "42807                         0                          0   \n",
       "132608                        0                          0   \n",
       "51431                         0                          0   \n",
       "244305                        0                          0   \n",
       "155741                        0                          0   \n",
       "65493                         0                          0   \n",
       "23041                         0                          0   \n",
       "103792                        0                          0   \n",
       "41216                         0                          0   \n",
       "239007                        0                          0   \n",
       "58237                         0                          0   \n",
       "148331                        0                          0   \n",
       "73193                         0                          0   \n",
       "79815                         0                          0   \n",
       "79795                         0                          0   \n",
       "241578                        0                          0   \n",
       "43383                         0                          0   \n",
       "\n",
       "        has_secondary_use_health_post  has_secondary_use_gov_office  \\\n",
       "47748                               0                             0   \n",
       "212102                              0                             0   \n",
       "60133                               0                             0   \n",
       "34181                               0                             0   \n",
       "25045                               0                             0   \n",
       "234432                              0                             0   \n",
       "228351                              0                             0   \n",
       "33426                               0                             0   \n",
       "144856                              0                             0   \n",
       "246970                              0                             0   \n",
       "208827                              0                             0   \n",
       "50540                               0                             0   \n",
       "45235                               0                             0   \n",
       "119877                              0                             0   \n",
       "113045                              0                             0   \n",
       "117341                              0                             0   \n",
       "199791                              0                             0   \n",
       "106730                              0                             0   \n",
       "100198                              0                             0   \n",
       "202686                              0                             0   \n",
       "8093                                0                             0   \n",
       "32541                               0                             0   \n",
       "178908                              0                             0   \n",
       "156483                              0                             0   \n",
       "227370                              0                             0   \n",
       "141517                              0                             0   \n",
       "258740                              0                             0   \n",
       "100808                              0                             0   \n",
       "174394                              0                             0   \n",
       "196180                              0                             0   \n",
       "...                               ...                           ...   \n",
       "169368                              0                             0   \n",
       "185775                              0                             0   \n",
       "181975                              0                             0   \n",
       "123234                              0                             0   \n",
       "211613                              0                             0   \n",
       "22937                               0                             0   \n",
       "250462                              0                             0   \n",
       "19731                               0                             0   \n",
       "228030                              0                             0   \n",
       "36958                               0                             0   \n",
       "87046                               0                             0   \n",
       "148164                              0                             0   \n",
       "27035                               0                             0   \n",
       "42807                               0                             0   \n",
       "132608                              0                             0   \n",
       "51431                               0                             0   \n",
       "244305                              0                             0   \n",
       "155741                              0                             0   \n",
       "65493                               0                             0   \n",
       "23041                               0                             0   \n",
       "103792                              0                             0   \n",
       "41216                               0                             0   \n",
       "239007                              0                             0   \n",
       "58237                               0                             0   \n",
       "148331                              0                             0   \n",
       "73193                               0                             0   \n",
       "79815                               0                             0   \n",
       "79795                               0                             0   \n",
       "241578                              0                             0   \n",
       "43383                               0                             0   \n",
       "\n",
       "        has_secondary_use_use_police  has_secondary_use_other  damage_grade  \n",
       "47748                              0                        0             2  \n",
       "212102                             0                        0             3  \n",
       "60133                              0                        0             3  \n",
       "34181                              0                        0             2  \n",
       "25045                              0                        0             2  \n",
       "234432                             0                        0             1  \n",
       "228351                             0                        0             3  \n",
       "33426                              0                        0             3  \n",
       "144856                             0                        0             2  \n",
       "246970                             0                        0             1  \n",
       "208827                             0                        0             2  \n",
       "50540                              0                        0             2  \n",
       "45235                              0                        0             3  \n",
       "119877                             0                        0             2  \n",
       "113045                             0                        0             2  \n",
       "117341                             0                        0             2  \n",
       "199791                             0                        0             1  \n",
       "106730                             0                        0             2  \n",
       "100198                             0                        0             2  \n",
       "202686                             0                        0             3  \n",
       "8093                               0                        0             2  \n",
       "32541                              0                        0             2  \n",
       "178908                             0                        0             3  \n",
       "156483                             0                        0             2  \n",
       "227370                             0                        0             2  \n",
       "141517                             0                        0             2  \n",
       "258740                             0                        0             3  \n",
       "100808                             0                        0             2  \n",
       "174394                             0                        0             1  \n",
       "196180                             0                        0             2  \n",
       "...                              ...                      ...           ...  \n",
       "169368                             0                        0             3  \n",
       "185775                             0                        0             3  \n",
       "181975                             0                        0             2  \n",
       "123234                             0                        0             2  \n",
       "211613                             0                        0             2  \n",
       "22937                              0                        0             2  \n",
       "250462                             0                        0             2  \n",
       "19731                              0                        0             1  \n",
       "228030                             0                        0             2  \n",
       "36958                              0                        0             2  \n",
       "87046                              0                        0             2  \n",
       "148164                             0                        0             2  \n",
       "27035                              0                        0             3  \n",
       "42807                              0                        0             3  \n",
       "132608                             0                        0             2  \n",
       "51431                              0                        0             3  \n",
       "244305                             0                        0             2  \n",
       "155741                             0                        0             2  \n",
       "65493                              0                        0             2  \n",
       "23041                              0                        0             2  \n",
       "103792                             0                        0             3  \n",
       "41216                              0                        0             2  \n",
       "239007                             0                        0             1  \n",
       "58237                              0                        0             1  \n",
       "148331                             0                        0             3  \n",
       "73193                              0                        0             2  \n",
       "79815                              0                        0             2  \n",
       "79795                              0                        0             3  \n",
       "241578                             0                        0             3  \n",
       "43383                              0                        0             3  \n",
       "\n",
       "[260601 rows x 40 columns]"
      ]
     },
     "execution_count": 52,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
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   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.1"
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 },
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