DATA_ANALYSIS/week06.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "d6d44bcd",
   "metadata": {},
   "source": [
    "## 이커머스 데이터 탐색하기 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "1a87a96a",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "PATH=\"00_data/\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "a534eeb8",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "\n",
       "    .dataframe thead th {\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_id</th>\n",
       "      <th>product_category_name</th>\n",
       "      <th>product_name_lenght</th>\n",
       "      <th>product_description_lenght</th>\n",
       "      <th>product_photos_qty</th>\n",
       "      <th>product_weight_g</th>\n",
       "      <th>product_length_cm</th>\n",
       "      <th>product_height_cm</th>\n",
       "      <th>product_width_cm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1e9e8ef04dbcff4541ed26657ea517e5</td>\n",
       "      <td>perfumaria</td>\n",
       "      <td>40.0</td>\n",
       "      <td>287.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>225.0</td>\n",
       "      <td>16.0</td>\n",
       "      <td>10.0</td>\n",
       "      <td>14.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>3aa071139cb16b67ca9e5dea641aaa2f</td>\n",
       "      <td>artes</td>\n",
       "      <td>44.0</td>\n",
       "      <td>276.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>1000.0</td>\n",
       "      <td>30.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>20.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>96bd76ec8810374ed1b65e291975717f</td>\n",
       "      <td>esporte_lazer</td>\n",
       "      <td>46.0</td>\n",
       "      <td>250.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>154.0</td>\n",
       "      <td>18.0</td>\n",
       "      <td>9.0</td>\n",
       "      <td>15.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>cef67bcfe19066a932b7673e239eb23d</td>\n",
       "      <td>bebes</td>\n",
       "      <td>27.0</td>\n",
       "      <td>261.0</td>\n",
       "      <td>1.0</td>\n",
       "      <td>371.0</td>\n",
       "      <td>26.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>26.0</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>9dc1a7de274444849c219cff195d0b71</td>\n",
       "      <td>utilidades_domesticas</td>\n",
       "      <td>37.0</td>\n",
       "      <td>402.0</td>\n",
       "      <td>4.0</td>\n",
       "      <td>625.0</td>\n",
       "      <td>20.0</td>\n",
       "      <td>17.0</td>\n",
       "      <td>13.0</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                         product_id  product_category_name  \\\n",
       "0  1e9e8ef04dbcff4541ed26657ea517e5             perfumaria   \n",
       "1  3aa071139cb16b67ca9e5dea641aaa2f                  artes   \n",
       "2  96bd76ec8810374ed1b65e291975717f          esporte_lazer   \n",
       "3  cef67bcfe19066a932b7673e239eb23d                  bebes   \n",
       "4  9dc1a7de274444849c219cff195d0b71  utilidades_domesticas   \n",
       "\n",
       "   product_name_lenght  product_description_lenght  product_photos_qty  \\\n",
       "0                 40.0                       287.0                 1.0   \n",
       "1                 44.0                       276.0                 1.0   \n",
       "2                 46.0                       250.0                 1.0   \n",
       "3                 27.0                       261.0                 1.0   \n",
       "4                 37.0                       402.0                 4.0   \n",
       "\n",
       "   product_weight_g  product_length_cm  product_height_cm  product_width_cm  \n",
       "0             225.0               16.0               10.0              14.0  \n",
       "1            1000.0               30.0               18.0              20.0  \n",
       "2             154.0               18.0                9.0              15.0  \n",
       "3             371.0               26.0                4.0              26.0  \n",
       "4             625.0               20.0               17.0              13.0  "
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products=pd.read_csv(PATH+\"olist_products_dataset.csv\",encoding='utf-8-sig')\n",
    "products.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "c85e7904",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(32951, 9)"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "id": "e4ca7bae",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 32951 entries, 0 to 32950\n",
      "Data columns (total 9 columns):\n",
      " #   Column                      Non-Null Count  Dtype  \n",
      "---  ------                      --------------  -----  \n",
      " 0   product_id                  32951 non-null  object \n",
      " 1   product_category_name       32341 non-null  object \n",
      " 2   product_name_lenght         32341 non-null  float64\n",
      " 3   product_description_lenght  32341 non-null  float64\n",
      " 4   product_photos_qty          32341 non-null  float64\n",
      " 5   product_weight_g            32949 non-null  float64\n",
      " 6   product_length_cm           32949 non-null  float64\n",
      " 7   product_height_cm           32949 non-null  float64\n",
      " 8   product_width_cm            32949 non-null  float64\n",
      "dtypes: float64(7), object(2)\n",
      "memory usage: 2.3+ MB\n"
     ]
    }
   ],
   "source": [
    "products.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "fe45dfac",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_name_lenght</th>\n",
       "      <th>product_description_lenght</th>\n",
       "      <th>product_photos_qty</th>\n",
       "      <th>product_weight_g</th>\n",
       "      <th>product_length_cm</th>\n",
       "      <th>product_height_cm</th>\n",
       "      <th>product_width_cm</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>32341.000000</td>\n",
       "      <td>32341.000000</td>\n",
       "      <td>32341.000000</td>\n",
       "      <td>32949.000000</td>\n",
       "      <td>32949.000000</td>\n",
       "      <td>32949.000000</td>\n",
       "      <td>32949.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>48.476949</td>\n",
       "      <td>771.495285</td>\n",
       "      <td>2.188986</td>\n",
       "      <td>2276.472488</td>\n",
       "      <td>30.815078</td>\n",
       "      <td>16.937661</td>\n",
       "      <td>23.196728</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>10.245741</td>\n",
       "      <td>635.115225</td>\n",
       "      <td>1.736766</td>\n",
       "      <td>4282.038731</td>\n",
       "      <td>16.914458</td>\n",
       "      <td>13.637554</td>\n",
       "      <td>12.079047</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>5.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>7.000000</td>\n",
       "      <td>2.000000</td>\n",
       "      <td>6.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>42.000000</td>\n",
       "      <td>339.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>300.000000</td>\n",
       "      <td>18.000000</td>\n",
       "      <td>8.000000</td>\n",
       "      <td>15.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>51.000000</td>\n",
       "      <td>595.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>700.000000</td>\n",
       "      <td>25.000000</td>\n",
       "      <td>13.000000</td>\n",
       "      <td>20.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>57.000000</td>\n",
       "      <td>972.000000</td>\n",
       "      <td>3.000000</td>\n",
       "      <td>1900.000000</td>\n",
       "      <td>38.000000</td>\n",
       "      <td>21.000000</td>\n",
       "      <td>30.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>76.000000</td>\n",
       "      <td>3992.000000</td>\n",
       "      <td>20.000000</td>\n",
       "      <td>40425.000000</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>105.000000</td>\n",
       "      <td>118.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       product_name_lenght  product_description_lenght  product_photos_qty  \\\n",
       "count         32341.000000                32341.000000        32341.000000   \n",
       "mean             48.476949                  771.495285            2.188986   \n",
       "std              10.245741                  635.115225            1.736766   \n",
       "min               5.000000                    4.000000            1.000000   \n",
       "25%              42.000000                  339.000000            1.000000   \n",
       "50%              51.000000                  595.000000            1.000000   \n",
       "75%              57.000000                  972.000000            3.000000   \n",
       "max              76.000000                 3992.000000           20.000000   \n",
       "\n",
       "       product_weight_g  product_length_cm  product_height_cm  \\\n",
       "count      32949.000000       32949.000000       32949.000000   \n",
       "mean        2276.472488          30.815078          16.937661   \n",
       "std         4282.038731          16.914458          13.637554   \n",
       "min            0.000000           7.000000           2.000000   \n",
       "25%          300.000000          18.000000           8.000000   \n",
       "50%          700.000000          25.000000          13.000000   \n",
       "75%         1900.000000          38.000000          21.000000   \n",
       "max        40425.000000         105.000000         105.000000   \n",
       "\n",
       "       product_width_cm  \n",
       "count      32949.000000  \n",
       "mean          23.196728  \n",
       "std           12.079047  \n",
       "min            6.000000  \n",
       "25%           15.000000  \n",
       "50%           20.000000  \n",
       "75%           30.000000  \n",
       "max          118.000000  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "products.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8b28c645",
   "metadata": {},
   "source": [
    "### olist_geolocation_dataset.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "28bdd8a6",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>geolocation_zip_code_prefix</th>\n",
       "      <th>geolocation_lat</th>\n",
       "      <th>geolocation_lng</th>\n",
       "      <th>geolocation_city</th>\n",
       "      <th>geolocation_state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1037</td>\n",
       "      <td>-23.545621</td>\n",
       "      <td>-46.639292</td>\n",
       "      <td>sao paulo</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1046</td>\n",
       "      <td>-23.546081</td>\n",
       "      <td>-46.644820</td>\n",
       "      <td>sao paulo</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1046</td>\n",
       "      <td>-23.546129</td>\n",
       "      <td>-46.642951</td>\n",
       "      <td>sao paulo</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1041</td>\n",
       "      <td>-23.544392</td>\n",
       "      <td>-46.639499</td>\n",
       "      <td>sao paulo</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>1035</td>\n",
       "      <td>-23.541578</td>\n",
       "      <td>-46.641607</td>\n",
       "      <td>sao paulo</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      ],
      "text/plain": [
       "   geolocation_zip_code_prefix  geolocation_lat  geolocation_lng  \\\n",
       "0                         1037       -23.545621       -46.639292   \n",
       "1                         1046       -23.546081       -46.644820   \n",
       "2                         1046       -23.546129       -46.642951   \n",
       "3                         1041       -23.544392       -46.639499   \n",
       "4                         1035       -23.541578       -46.641607   \n",
       "\n",
       "  geolocation_city geolocation_state  \n",
       "0        sao paulo                SP  \n",
       "1        sao paulo                SP  \n",
       "2        sao paulo                SP  \n",
       "3        sao paulo                SP  \n",
       "4        sao paulo                SP  "
      ]
     },
     "execution_count": 39,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geolocations=pd.read_csv(PATH+\"olist_geolocation_dataset.csv\",encoding='utf-8-sig')\n",
    "geolocations.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "id": "dd78cc31",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1000163, 5)"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "geolocations.shape"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c53557af",
   "metadata": {},
   "source": [
    "### olist_order_items_dataset.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "85789911",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>order_item_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>seller_id</th>\n",
       "      <th>shipping_limit_date</th>\n",
       "      <th>price</th>\n",
       "      <th>freight_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>00010242fe8c5a6d1ba2dd792cb16214</td>\n",
       "      <td>1</td>\n",
       "      <td>4244733e06e7ecb4970a6e2683c13e61</td>\n",
       "      <td>48436dade18ac8b2bce089ec2a041202</td>\n",
       "      <td>2017-09-19 09:45:35</td>\n",
       "      <td>58.90</td>\n",
       "      <td>13.29</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>00018f77f2f0320c557190d7a144bdd3</td>\n",
       "      <td>1</td>\n",
       "      <td>e5f2d52b802189ee658865ca93d83a8f</td>\n",
       "      <td>dd7ddc04e1b6c2c614352b383efe2d36</td>\n",
       "      <td>2017-05-03 11:05:13</td>\n",
       "      <td>239.90</td>\n",
       "      <td>19.93</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>000229ec398224ef6ca0657da4fc703e</td>\n",
       "      <td>1</td>\n",
       "      <td>c777355d18b72b67abbeef9df44fd0fd</td>\n",
       "      <td>5b51032eddd242adc84c38acab88f23d</td>\n",
       "      <td>2018-01-18 14:48:30</td>\n",
       "      <td>199.00</td>\n",
       "      <td>17.87</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>00024acbcdf0a6daa1e931b038114c75</td>\n",
       "      <td>1</td>\n",
       "      <td>7634da152a4610f1595efa32f14722fc</td>\n",
       "      <td>9d7a1d34a5052409006425275ba1c2b4</td>\n",
       "      <td>2018-08-15 10:10:18</td>\n",
       "      <td>12.99</td>\n",
       "      <td>12.79</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>00042b26cf59d7ce69dfabb4e55b4fd9</td>\n",
       "      <td>1</td>\n",
       "      <td>ac6c3623068f30de03045865e4e10089</td>\n",
       "      <td>df560393f3a51e74553ab94004ba5c87</td>\n",
       "      <td>2017-02-13 13:57:51</td>\n",
       "      <td>199.90</td>\n",
       "      <td>18.14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           order_id  order_item_id  \\\n",
       "0  00010242fe8c5a6d1ba2dd792cb16214              1   \n",
       "1  00018f77f2f0320c557190d7a144bdd3              1   \n",
       "2  000229ec398224ef6ca0657da4fc703e              1   \n",
       "3  00024acbcdf0a6daa1e931b038114c75              1   \n",
       "4  00042b26cf59d7ce69dfabb4e55b4fd9              1   \n",
       "\n",
       "                         product_id                         seller_id  \\\n",
       "0  4244733e06e7ecb4970a6e2683c13e61  48436dade18ac8b2bce089ec2a041202   \n",
       "1  e5f2d52b802189ee658865ca93d83a8f  dd7ddc04e1b6c2c614352b383efe2d36   \n",
       "2  c777355d18b72b67abbeef9df44fd0fd  5b51032eddd242adc84c38acab88f23d   \n",
       "3  7634da152a4610f1595efa32f14722fc  9d7a1d34a5052409006425275ba1c2b4   \n",
       "4  ac6c3623068f30de03045865e4e10089  df560393f3a51e74553ab94004ba5c87   \n",
       "\n",
       "   shipping_limit_date   price  freight_value  \n",
       "0  2017-09-19 09:45:35   58.90          13.29  \n",
       "1  2017-05-03 11:05:13  239.90          19.93  \n",
       "2  2018-01-18 14:48:30  199.00          17.87  \n",
       "3  2018-08-15 10:10:18   12.99          12.79  \n",
       "4  2017-02-13 13:57:51  199.90          18.14  "
      ]
     },
     "execution_count": 9,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_items=pd.read_csv(PATH+\"olist_order_items_dataset.csv\",encoding='utf-8-sig')\n",
    "order_items.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e1103f7a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(112650, 7)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_items.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "2e27c609",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_item_id</th>\n",
       "      <th>price</th>\n",
       "      <th>freight_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>112650.000000</td>\n",
       "      <td>112650.000000</td>\n",
       "      <td>112650.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.197834</td>\n",
       "      <td>120.653739</td>\n",
       "      <td>19.990320</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.705124</td>\n",
       "      <td>183.633928</td>\n",
       "      <td>15.806405</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.850000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>39.900000</td>\n",
       "      <td>13.080000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>74.990000</td>\n",
       "      <td>16.260000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>134.900000</td>\n",
       "      <td>21.150000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>21.000000</td>\n",
       "      <td>6735.000000</td>\n",
       "      <td>409.680000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       order_item_id          price  freight_value\n",
       "count  112650.000000  112650.000000  112650.000000\n",
       "mean        1.197834     120.653739      19.990320\n",
       "std         0.705124     183.633928      15.806405\n",
       "min         1.000000       0.850000       0.000000\n",
       "25%         1.000000      39.900000      13.080000\n",
       "50%         1.000000      74.990000      16.260000\n",
       "75%         1.000000     134.900000      21.150000\n",
       "max        21.000000    6735.000000     409.680000"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_items.describe()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "id": "291ab7ac",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 112650 entries, 0 to 112649\n",
      "Data columns (total 7 columns):\n",
      " #   Column               Non-Null Count   Dtype  \n",
      "---  ------               --------------   -----  \n",
      " 0   order_id             112650 non-null  object \n",
      " 1   order_item_id        112650 non-null  int64  \n",
      " 2   product_id           112650 non-null  object \n",
      " 3   seller_id            112650 non-null  object \n",
      " 4   shipping_limit_date  112650 non-null  object \n",
      " 5   price                112650 non-null  float64\n",
      " 6   freight_value        112650 non-null  float64\n",
      "dtypes: float64(2), int64(1), object(4)\n",
      "memory usage: 6.0+ MB\n"
     ]
    }
   ],
   "source": [
    "order_items.info()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "447e3814",
   "metadata": {},
   "source": [
    "### olist_order_payments_dataset.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "9e813c13",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>payment_sequential</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>payment_installments</th>\n",
       "      <th>payment_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>b81ef226f3fe1789b1e8b2acac839d17</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>8</td>\n",
       "      <td>99.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>a9810da82917af2d9aefd1278f1dcfa0</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>1</td>\n",
       "      <td>24.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>25e8ea4e93396b6fa0d3dd708e76c1bd</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>1</td>\n",
       "      <td>65.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ba78997921bbcdc1373bb41e913ab953</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>8</td>\n",
       "      <td>107.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>42fdf880ba16b47b59251dd489d4441a</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>2</td>\n",
       "      <td>128.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           order_id  payment_sequential payment_type  \\\n",
       "0  b81ef226f3fe1789b1e8b2acac839d17                   1  credit_card   \n",
       "1  a9810da82917af2d9aefd1278f1dcfa0                   1  credit_card   \n",
       "2  25e8ea4e93396b6fa0d3dd708e76c1bd                   1  credit_card   \n",
       "3  ba78997921bbcdc1373bb41e913ab953                   1  credit_card   \n",
       "4  42fdf880ba16b47b59251dd489d4441a                   1  credit_card   \n",
       "\n",
       "   payment_installments  payment_value  \n",
       "0                     8          99.33  \n",
       "1                     1          24.39  \n",
       "2                     1          65.71  \n",
       "3                     8         107.78  \n",
       "4                     2         128.45  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "payments=pd.read_csv(PATH+\"olist_order_payments_dataset.csv\",encoding='utf-8-sig')\n",
    "payments.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "d39912fb",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(103886, 5)"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "payments.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "41c4c1a6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 103886 entries, 0 to 103885\n",
      "Data columns (total 5 columns):\n",
      " #   Column                Non-Null Count   Dtype  \n",
      "---  ------                --------------   -----  \n",
      " 0   order_id              103886 non-null  object \n",
      " 1   payment_sequential    103886 non-null  int64  \n",
      " 2   payment_type          103886 non-null  object \n",
      " 3   payment_installments  103886 non-null  int64  \n",
      " 4   payment_value         103886 non-null  float64\n",
      "dtypes: float64(1), int64(2), object(2)\n",
      "memory usage: 4.0+ MB\n"
     ]
    }
   ],
   "source": [
    "payments.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "40d44266",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>payment_sequential</th>\n",
       "      <th>payment_installments</th>\n",
       "      <th>payment_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>103886.000000</td>\n",
       "      <td>103886.000000</td>\n",
       "      <td>103886.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>1.092679</td>\n",
       "      <td>2.853349</td>\n",
       "      <td>154.100380</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>0.706584</td>\n",
       "      <td>2.687051</td>\n",
       "      <td>217.494064</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>0.000000</td>\n",
       "      <td>0.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>56.790000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>1.000000</td>\n",
       "      <td>100.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>1.000000</td>\n",
       "      <td>4.000000</td>\n",
       "      <td>171.837500</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>29.000000</td>\n",
       "      <td>24.000000</td>\n",
       "      <td>13664.080000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       payment_sequential  payment_installments  payment_value\n",
       "count       103886.000000         103886.000000  103886.000000\n",
       "mean             1.092679              2.853349     154.100380\n",
       "std              0.706584              2.687051     217.494064\n",
       "min              1.000000              0.000000       0.000000\n",
       "25%              1.000000              1.000000      56.790000\n",
       "50%              1.000000              1.000000     100.000000\n",
       "75%              1.000000              4.000000     171.837500\n",
       "max             29.000000             24.000000   13664.080000"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "payments.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "efcaa2d5",
   "metadata": {},
   "source": [
    "### olist_order_reviews_dataset.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "id": "5aa0bf56",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>review_id</th>\n",
       "      <th>order_id</th>\n",
       "      <th>review_score</th>\n",
       "      <th>review_comment_title</th>\n",
       "      <th>review_comment_message</th>\n",
       "      <th>review_creation_date</th>\n",
       "      <th>review_answer_timestamp</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>7bc2406110b926393aa56f80a40eba40</td>\n",
       "      <td>73fc7af87114b39712e6da79b0a377eb</td>\n",
       "      <td>4</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-01-18 00:00:00</td>\n",
       "      <td>2018-01-18 21:46:59</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>80e641a11e56f04c1ad469d5645fdfde</td>\n",
       "      <td>a548910a1c6147796b98fdf73dbeba33</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-03-10 00:00:00</td>\n",
       "      <td>2018-03-11 03:05:13</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>228ce5500dc1d8e020d8d1322874b6f0</td>\n",
       "      <td>f9e4b658b201a9f2ecdecbb34bed034b</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2018-02-17 00:00:00</td>\n",
       "      <td>2018-02-18 14:36:24</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>e64fb393e7b32834bb789ff8bb30750e</td>\n",
       "      <td>658677c97b385a9be170737859d3511b</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Recebi bem antes do prazo estipulado.</td>\n",
       "      <td>2017-04-21 00:00:00</td>\n",
       "      <td>2017-04-21 22:02:06</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>f7c4243c7fe1938f181bec41a392bdeb</td>\n",
       "      <td>8e6bfb81e283fa7e4f11123a3fb894f1</td>\n",
       "      <td>5</td>\n",
       "      <td>NaN</td>\n",
       "      <td>Parabéns lojas lannister adorei comprar pela I...</td>\n",
       "      <td>2018-03-01 00:00:00</td>\n",
       "      <td>2018-03-02 10:26:53</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          review_id                          order_id  \\\n",
       "0  7bc2406110b926393aa56f80a40eba40  73fc7af87114b39712e6da79b0a377eb   \n",
       "1  80e641a11e56f04c1ad469d5645fdfde  a548910a1c6147796b98fdf73dbeba33   \n",
       "2  228ce5500dc1d8e020d8d1322874b6f0  f9e4b658b201a9f2ecdecbb34bed034b   \n",
       "3  e64fb393e7b32834bb789ff8bb30750e  658677c97b385a9be170737859d3511b   \n",
       "4  f7c4243c7fe1938f181bec41a392bdeb  8e6bfb81e283fa7e4f11123a3fb894f1   \n",
       "\n",
       "   review_score review_comment_title  \\\n",
       "0             4                  NaN   \n",
       "1             5                  NaN   \n",
       "2             5                  NaN   \n",
       "3             5                  NaN   \n",
       "4             5                  NaN   \n",
       "\n",
       "                              review_comment_message review_creation_date  \\\n",
       "0                                                NaN  2018-01-18 00:00:00   \n",
       "1                                                NaN  2018-03-10 00:00:00   \n",
       "2                                                NaN  2018-02-17 00:00:00   \n",
       "3              Recebi bem antes do prazo estipulado.  2017-04-21 00:00:00   \n",
       "4  Parabéns lojas lannister adorei comprar pela I...  2018-03-01 00:00:00   \n",
       "\n",
       "  review_answer_timestamp  \n",
       "0     2018-01-18 21:46:59  \n",
       "1     2018-03-11 03:05:13  \n",
       "2     2018-02-18 14:36:24  \n",
       "3     2017-04-21 22:02:06  \n",
       "4     2018-03-02 10:26:53  "
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews=pd.read_csv(PATH+\"olist_order_reviews_dataset.csv\",encoding='utf-8-sig')\n",
    "reviews.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "id": "3cef38fd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(99224, 7)"
      ]
     },
     "execution_count": 19,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "id": "7a2a64da",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 99224 entries, 0 to 99223\n",
      "Data columns (total 7 columns):\n",
      " #   Column                   Non-Null Count  Dtype \n",
      "---  ------                   --------------  ----- \n",
      " 0   review_id                99224 non-null  object\n",
      " 1   order_id                 99224 non-null  object\n",
      " 2   review_score             99224 non-null  int64 \n",
      " 3   review_comment_title     11568 non-null  object\n",
      " 4   review_comment_message   40977 non-null  object\n",
      " 5   review_creation_date     99224 non-null  object\n",
      " 6   review_answer_timestamp  99224 non-null  object\n",
      "dtypes: int64(1), object(6)\n",
      "memory usage: 5.3+ MB\n"
     ]
    }
   ],
   "source": [
    "reviews.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "id": "059a4d43",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>review_score</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>99224.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>4.086421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>1.347579</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>5.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       review_score\n",
       "count  99224.000000\n",
       "mean       4.086421\n",
       "std        1.347579\n",
       "min        1.000000\n",
       "25%        4.000000\n",
       "50%        5.000000\n",
       "75%        5.000000\n",
       "max        5.000000"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "reviews.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "68cf9784",
   "metadata": {},
   "source": [
    "### olist_orders_dataset.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "id": "4e2ca591",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>customer_id</th>\n",
       "      <th>order_status</th>\n",
       "      <th>order_purchase_timestamp</th>\n",
       "      <th>order_approved_at</th>\n",
       "      <th>order_delivered_carrier_date</th>\n",
       "      <th>order_delivered_customer_date</th>\n",
       "      <th>order_estimated_delivery_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e481f51cbdc54678b7cc49136f2d6af7</td>\n",
       "      <td>9ef432eb6251297304e76186b10a928d</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2017-10-02 10:56:33</td>\n",
       "      <td>2017-10-02 11:07:15</td>\n",
       "      <td>2017-10-04 19:55:00</td>\n",
       "      <td>2017-10-10 21:25:13</td>\n",
       "      <td>2017-10-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>53cdb2fc8bc7dce0b6741e2150273451</td>\n",
       "      <td>b0830fb4747a6c6d20dea0b8c802d7ef</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2018-07-24 20:41:37</td>\n",
       "      <td>2018-07-26 03:24:27</td>\n",
       "      <td>2018-07-26 14:31:00</td>\n",
       "      <td>2018-08-07 15:27:45</td>\n",
       "      <td>2018-08-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>47770eb9100c2d0c44946d9cf07ec65d</td>\n",
       "      <td>41ce2a54c0b03bf3443c3d931a367089</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2018-08-08 08:38:49</td>\n",
       "      <td>2018-08-08 08:55:23</td>\n",
       "      <td>2018-08-08 13:50:00</td>\n",
       "      <td>2018-08-17 18:06:29</td>\n",
       "      <td>2018-09-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>949d5b44dbf5de918fe9c16f97b45f8a</td>\n",
       "      <td>f88197465ea7920adcdbec7375364d82</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2017-11-18 19:28:06</td>\n",
       "      <td>2017-11-18 19:45:59</td>\n",
       "      <td>2017-11-22 13:39:59</td>\n",
       "      <td>2017-12-02 00:28:42</td>\n",
       "      <td>2017-12-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ad21c59c0840e6cb83a9ceb5573f8159</td>\n",
       "      <td>8ab97904e6daea8866dbdbc4fb7aad2c</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2018-02-13 21:18:39</td>\n",
       "      <td>2018-02-13 22:20:29</td>\n",
       "      <td>2018-02-14 19:46:34</td>\n",
       "      <td>2018-02-16 18:17:02</td>\n",
       "      <td>2018-02-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           order_id                       customer_id  \\\n",
       "0  e481f51cbdc54678b7cc49136f2d6af7  9ef432eb6251297304e76186b10a928d   \n",
       "1  53cdb2fc8bc7dce0b6741e2150273451  b0830fb4747a6c6d20dea0b8c802d7ef   \n",
       "2  47770eb9100c2d0c44946d9cf07ec65d  41ce2a54c0b03bf3443c3d931a367089   \n",
       "3  949d5b44dbf5de918fe9c16f97b45f8a  f88197465ea7920adcdbec7375364d82   \n",
       "4  ad21c59c0840e6cb83a9ceb5573f8159  8ab97904e6daea8866dbdbc4fb7aad2c   \n",
       "\n",
       "  order_status order_purchase_timestamp    order_approved_at  \\\n",
       "0    delivered      2017-10-02 10:56:33  2017-10-02 11:07:15   \n",
       "1    delivered      2018-07-24 20:41:37  2018-07-26 03:24:27   \n",
       "2    delivered      2018-08-08 08:38:49  2018-08-08 08:55:23   \n",
       "3    delivered      2017-11-18 19:28:06  2017-11-18 19:45:59   \n",
       "4    delivered      2018-02-13 21:18:39  2018-02-13 22:20:29   \n",
       "\n",
       "  order_delivered_carrier_date order_delivered_customer_date  \\\n",
       "0          2017-10-04 19:55:00           2017-10-10 21:25:13   \n",
       "1          2018-07-26 14:31:00           2018-08-07 15:27:45   \n",
       "2          2018-08-08 13:50:00           2018-08-17 18:06:29   \n",
       "3          2017-11-22 13:39:59           2017-12-02 00:28:42   \n",
       "4          2018-02-14 19:46:34           2018-02-16 18:17:02   \n",
       "\n",
       "  order_estimated_delivery_date  \n",
       "0           2017-10-18 00:00:00  \n",
       "1           2018-08-13 00:00:00  \n",
       "2           2018-09-04 00:00:00  \n",
       "3           2017-12-15 00:00:00  \n",
       "4           2018-02-26 00:00:00  "
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orders=pd.read_csv(PATH+\"olist_orders_dataset.csv\",encoding='utf-8-sig')\n",
    "orders.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "id": "d469c482",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(99441, 8)"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orders.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "id": "95449c8b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 99441 entries, 0 to 99440\n",
      "Data columns (total 8 columns):\n",
      " #   Column                         Non-Null Count  Dtype \n",
      "---  ------                         --------------  ----- \n",
      " 0   order_id                       99441 non-null  object\n",
      " 1   customer_id                    99441 non-null  object\n",
      " 2   order_status                   99441 non-null  object\n",
      " 3   order_purchase_timestamp       99441 non-null  object\n",
      " 4   order_approved_at              99281 non-null  object\n",
      " 5   order_delivered_carrier_date   97658 non-null  object\n",
      " 6   order_delivered_customer_date  96476 non-null  object\n",
      " 7   order_estimated_delivery_date  99441 non-null  object\n",
      "dtypes: object(8)\n",
      "memory usage: 6.1+ MB\n"
     ]
    }
   ],
   "source": [
    "orders.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "id": "1e11c9a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>customer_id</th>\n",
       "      <th>order_status</th>\n",
       "      <th>order_purchase_timestamp</th>\n",
       "      <th>order_approved_at</th>\n",
       "      <th>order_delivered_carrier_date</th>\n",
       "      <th>order_delivered_customer_date</th>\n",
       "      <th>order_estimated_delivery_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>99441</td>\n",
       "      <td>99441</td>\n",
       "      <td>99441</td>\n",
       "      <td>99441</td>\n",
       "      <td>99281</td>\n",
       "      <td>97658</td>\n",
       "      <td>96476</td>\n",
       "      <td>99441</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>99441</td>\n",
       "      <td>99441</td>\n",
       "      <td>8</td>\n",
       "      <td>98875</td>\n",
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       "      <td>81018</td>\n",
       "      <td>95664</td>\n",
       "      <td>459</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>476bce9fb98b771f4908106e9d962dd1</td>\n",
       "      <td>2487a1f2ca00d0bbdd2b768b7407d75b</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2018-04-11 10:48:14</td>\n",
       "      <td>2018-02-27 04:31:10</td>\n",
       "      <td>2018-05-09 15:48:00</td>\n",
       "      <td>2018-05-08 19:36:48</td>\n",
       "      <td>2017-12-20 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>96478</td>\n",
       "      <td>3</td>\n",
       "      <td>9</td>\n",
       "      <td>47</td>\n",
       "      <td>3</td>\n",
       "      <td>522</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                order_id                       customer_id  \\\n",
       "count                              99441                             99441   \n",
       "unique                             99441                             99441   \n",
       "top     476bce9fb98b771f4908106e9d962dd1  2487a1f2ca00d0bbdd2b768b7407d75b   \n",
       "freq                                   1                                 1   \n",
       "\n",
       "       order_status order_purchase_timestamp    order_approved_at  \\\n",
       "count         99441                    99441                99281   \n",
       "unique            8                    98875                90733   \n",
       "top       delivered      2018-04-11 10:48:14  2018-02-27 04:31:10   \n",
       "freq          96478                        3                    9   \n",
       "\n",
       "       order_delivered_carrier_date order_delivered_customer_date  \\\n",
       "count                         97658                         96476   \n",
       "unique                        81018                         95664   \n",
       "top             2018-05-09 15:48:00           2018-05-08 19:36:48   \n",
       "freq                             47                             3   \n",
       "\n",
       "       order_estimated_delivery_date  \n",
       "count                          99441  \n",
       "unique                           459  \n",
       "top              2017-12-20 00:00:00  \n",
       "freq                             522  "
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orders.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c64bfaa7",
   "metadata": {},
   "source": [
    "### olist_sellers_dataset.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "id": "9c4a81bf",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seller_id</th>\n",
       "      <th>seller_zip_code_prefix</th>\n",
       "      <th>seller_city</th>\n",
       "      <th>seller_state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>3442f8959a84dea7ee197c632cb2df15</td>\n",
       "      <td>13023</td>\n",
       "      <td>campinas</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>d1b65fc7debc3361ea86b5f14c68d2e2</td>\n",
       "      <td>13844</td>\n",
       "      <td>mogi guacu</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>ce3ad9de960102d0677a81f5d0bb7b2d</td>\n",
       "      <td>20031</td>\n",
       "      <td>rio de janeiro</td>\n",
       "      <td>RJ</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>c0f3eea2e14555b6faeea3dd58c1b1c3</td>\n",
       "      <td>4195</td>\n",
       "      <td>sao paulo</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>51a04a8a6bdcb23deccc82b0b80742cf</td>\n",
       "      <td>12914</td>\n",
       "      <td>braganca paulista</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          seller_id  seller_zip_code_prefix  \\\n",
       "0  3442f8959a84dea7ee197c632cb2df15                   13023   \n",
       "1  d1b65fc7debc3361ea86b5f14c68d2e2                   13844   \n",
       "2  ce3ad9de960102d0677a81f5d0bb7b2d                   20031   \n",
       "3  c0f3eea2e14555b6faeea3dd58c1b1c3                    4195   \n",
       "4  51a04a8a6bdcb23deccc82b0b80742cf                   12914   \n",
       "\n",
       "         seller_city seller_state  \n",
       "0           campinas           SP  \n",
       "1         mogi guacu           SP  \n",
       "2     rio de janeiro           RJ  \n",
       "3          sao paulo           SP  \n",
       "4  braganca paulista           SP  "
      ]
     },
     "execution_count": 26,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sellers=pd.read_csv(PATH+'olist_sellers_dataset.csv',encoding='utf-8-sig')\n",
    "sellers.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "id": "10472a8e",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(3095, 4)"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sellers.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "id": "26a7c1c6",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3095 entries, 0 to 3094\n",
      "Data columns (total 4 columns):\n",
      " #   Column                  Non-Null Count  Dtype \n",
      "---  ------                  --------------  ----- \n",
      " 0   seller_id               3095 non-null   object\n",
      " 1   seller_zip_code_prefix  3095 non-null   int64 \n",
      " 2   seller_city             3095 non-null   object\n",
      " 3   seller_state            3095 non-null   object\n",
      "dtypes: int64(1), object(3)\n",
      "memory usage: 96.8+ KB\n"
     ]
    }
   ],
   "source": [
    "sellers.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "id": "407ea8c7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>seller_zip_code_prefix</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>3095.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>mean</th>\n",
       "      <td>32291.059451</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>std</th>\n",
       "      <td>32713.453830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>min</th>\n",
       "      <td>1001.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>25%</th>\n",
       "      <td>7093.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>50%</th>\n",
       "      <td>14940.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>75%</th>\n",
       "      <td>64552.500000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>max</th>\n",
       "      <td>99730.000000</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "       seller_zip_code_prefix\n",
       "count             3095.000000\n",
       "mean             32291.059451\n",
       "std              32713.453830\n",
       "min               1001.000000\n",
       "25%               7093.500000\n",
       "50%              14940.000000\n",
       "75%              64552.500000\n",
       "max              99730.000000"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sellers.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "49963677",
   "metadata": {},
   "source": [
    "### product_category_name_translation.csv"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "id": "ccc8e150",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_category_name</th>\n",
       "      <th>product_category_name_english</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>beleza_saude</td>\n",
       "      <td>health_beauty</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>informatica_acessorios</td>\n",
       "      <td>computers_accessories</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>automotivo</td>\n",
       "      <td>auto</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>cama_mesa_banho</td>\n",
       "      <td>bed_bath_table</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>moveis_decoracao</td>\n",
       "      <td>furniture_decor</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    product_category_name product_category_name_english\n",
       "0            beleza_saude                 health_beauty\n",
       "1  informatica_acessorios         computers_accessories\n",
       "2              automotivo                          auto\n",
       "3         cama_mesa_banho                bed_bath_table\n",
       "4        moveis_decoracao               furniture_decor"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_name=pd.read_csv(PATH+\"product_category_name_translation.csv\",encoding='utf-8-sig')\n",
    "category_name.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "id": "c6849182",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(71, 2)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_name.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "id": "6f8f3eb7",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 71 entries, 0 to 70\n",
      "Data columns (total 2 columns):\n",
      " #   Column                         Non-Null Count  Dtype \n",
      "---  ------                         --------------  ----- \n",
      " 0   product_category_name          71 non-null     object\n",
      " 1   product_category_name_english  71 non-null     object\n",
      "dtypes: object(2)\n",
      "memory usage: 1.2+ KB\n"
     ]
    }
   ],
   "source": [
    "category_name.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "id": "d938e04d",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>product_category_name</th>\n",
       "      <th>product_category_name_english</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>count</th>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>unique</th>\n",
       "      <td>71</td>\n",
       "      <td>71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>top</th>\n",
       "      <td>construcao_ferramentas_construcao</td>\n",
       "      <td>music</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>freq</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                    product_category_name product_category_name_english\n",
       "count                                  71                            71\n",
       "unique                                 71                            71\n",
       "top     construcao_ferramentas_construcao                         music\n",
       "freq                                    1                             1"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "category_name.describe()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "fcc8995c",
   "metadata": {},
   "source": [
    "### 1. 얼마나 많은 고객이 있는가 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "id": "a848b7fa",
   "metadata": {},
   "outputs": [],
   "source": [
    "customers=pd.read_csv(PATH+\"olist_customers_dataset.csv\",encoding='utf-8-sig')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 42,
   "id": "e41411fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>customer_unique_id</th>\n",
       "      <th>customer_zip_code_prefix</th>\n",
       "      <th>customer_city</th>\n",
       "      <th>customer_state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>06b8999e2fba1a1fbc88172c00ba8bc7</td>\n",
       "      <td>861eff4711a542e4b93843c6dd7febb0</td>\n",
       "      <td>14409</td>\n",
       "      <td>franca</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18955e83d337fd6b2def6b18a428ac77</td>\n",
       "      <td>290c77bc529b7ac935b93aa66c333dc3</td>\n",
       "      <td>9790</td>\n",
       "      <td>sao bernardo do campo</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4e7b3e00288586ebd08712fdd0374a03</td>\n",
       "      <td>060e732b5b29e8181a18229c7b0b2b5e</td>\n",
       "      <td>1151</td>\n",
       "      <td>sao paulo</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>b2b6027bc5c5109e529d4dc6358b12c3</td>\n",
       "      <td>259dac757896d24d7702b9acbbff3f3c</td>\n",
       "      <td>8775</td>\n",
       "      <td>mogi das cruzes</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4f2d8ab171c80ec8364f7c12e35b23ad</td>\n",
       "      <td>345ecd01c38d18a9036ed96c73b8d066</td>\n",
       "      <td>13056</td>\n",
       "      <td>campinas</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        customer_id                customer_unique_id  \\\n",
       "0  06b8999e2fba1a1fbc88172c00ba8bc7  861eff4711a542e4b93843c6dd7febb0   \n",
       "1  18955e83d337fd6b2def6b18a428ac77  290c77bc529b7ac935b93aa66c333dc3   \n",
       "2  4e7b3e00288586ebd08712fdd0374a03  060e732b5b29e8181a18229c7b0b2b5e   \n",
       "3  b2b6027bc5c5109e529d4dc6358b12c3  259dac757896d24d7702b9acbbff3f3c   \n",
       "4  4f2d8ab171c80ec8364f7c12e35b23ad  345ecd01c38d18a9036ed96c73b8d066   \n",
       "\n",
       "   customer_zip_code_prefix          customer_city customer_state  \n",
       "0                     14409                 franca             SP  \n",
       "1                      9790  sao bernardo do campo             SP  \n",
       "2                      1151              sao paulo             SP  \n",
       "3                      8775        mogi das cruzes             SP  \n",
       "4                     13056               campinas             SP  "
      ]
     },
     "execution_count": 42,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "id": "08648fd2",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 99441 entries, 0 to 99440\n",
      "Data columns (total 5 columns):\n",
      " #   Column                    Non-Null Count  Dtype \n",
      "---  ------                    --------------  ----- \n",
      " 0   customer_id               99441 non-null  object\n",
      " 1   customer_unique_id        99441 non-null  object\n",
      " 2   customer_zip_code_prefix  99441 non-null  int64 \n",
      " 3   customer_city             99441 non-null  object\n",
      " 4   customer_state            99441 non-null  object\n",
      "dtypes: int64(1), object(4)\n",
      "memory usage: 3.8+ MB\n"
     ]
    }
   ],
   "source": [
    "customers.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "id": "c89c0620",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "17"
      ]
     },
     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# value_counts(): 각각의 값이 전체 series에서 각각 몇개가 있는지 알려줌 \n",
    "customers['customer_unique_id'].value_counts().max()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "id": "6605d2f1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 46,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers['customer_id'].value_counts().max() #1이므로 중복되지 않았음을 알 수 있음 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "id": "ca6c1ed7",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "99441"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# nunique(): unique한 값의 갯수를 알려줌\n",
    "customers['customer_id'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 48,
   "id": "eadc2662",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "96096"
      ]
     },
     "execution_count": 48,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers['customer_unique_id'].nunique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "b70eb8ed",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 실제 고객 수는 99441명 "
   ]
  },
  {
   "cell_type": "markdown",
   "id": "c32d0054",
   "metadata": {},
   "source": [
    "## 2. 고객은 주로 어디에 사는가?"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "id": "7a56f596",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>customer_unique_id</th>\n",
       "      <th>customer_zip_code_prefix</th>\n",
       "      <th>customer_city</th>\n",
       "      <th>customer_state</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>06b8999e2fba1a1fbc88172c00ba8bc7</td>\n",
       "      <td>861eff4711a542e4b93843c6dd7febb0</td>\n",
       "      <td>14409</td>\n",
       "      <td>franca</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>18955e83d337fd6b2def6b18a428ac77</td>\n",
       "      <td>290c77bc529b7ac935b93aa66c333dc3</td>\n",
       "      <td>9790</td>\n",
       "      <td>sao bernardo do campo</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>4e7b3e00288586ebd08712fdd0374a03</td>\n",
       "      <td>060e732b5b29e8181a18229c7b0b2b5e</td>\n",
       "      <td>1151</td>\n",
       "      <td>sao paulo</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>b2b6027bc5c5109e529d4dc6358b12c3</td>\n",
       "      <td>259dac757896d24d7702b9acbbff3f3c</td>\n",
       "      <td>8775</td>\n",
       "      <td>mogi das cruzes</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>4f2d8ab171c80ec8364f7c12e35b23ad</td>\n",
       "      <td>345ecd01c38d18a9036ed96c73b8d066</td>\n",
       "      <td>13056</td>\n",
       "      <td>campinas</td>\n",
       "      <td>SP</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                        customer_id                customer_unique_id  \\\n",
       "0  06b8999e2fba1a1fbc88172c00ba8bc7  861eff4711a542e4b93843c6dd7febb0   \n",
       "1  18955e83d337fd6b2def6b18a428ac77  290c77bc529b7ac935b93aa66c333dc3   \n",
       "2  4e7b3e00288586ebd08712fdd0374a03  060e732b5b29e8181a18229c7b0b2b5e   \n",
       "3  b2b6027bc5c5109e529d4dc6358b12c3  259dac757896d24d7702b9acbbff3f3c   \n",
       "4  4f2d8ab171c80ec8364f7c12e35b23ad  345ecd01c38d18a9036ed96c73b8d066   \n",
       "\n",
       "   customer_zip_code_prefix          customer_city customer_state  \n",
       "0                     14409                 franca             SP  \n",
       "1                      9790  sao bernardo do campo             SP  \n",
       "2                      1151              sao paulo             SP  \n",
       "3                      8775        mogi das cruzes             SP  \n",
       "4                     13056               campinas             SP  "
      ]
     },
     "execution_count": 50,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers.head() #customers_city"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "id": "2b03b794",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>customer_id</th>\n",
       "      <th>customer_unique_id</th>\n",
       "      <th>customer_zip_code_prefix</th>\n",
       "      <th>customer_state</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>customer_city</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>sao paulo</th>\n",
       "      <td>15540</td>\n",
       "      <td>15540</td>\n",
       "      <td>15540</td>\n",
       "      <td>15540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>rio de janeiro</th>\n",
       "      <td>6882</td>\n",
       "      <td>6882</td>\n",
       "      <td>6882</td>\n",
       "      <td>6882</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>belo horizonte</th>\n",
       "      <td>2773</td>\n",
       "      <td>2773</td>\n",
       "      <td>2773</td>\n",
       "      <td>2773</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>brasilia</th>\n",
       "      <td>2131</td>\n",
       "      <td>2131</td>\n",
       "      <td>2131</td>\n",
       "      <td>2131</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>curitiba</th>\n",
       "      <td>1521</td>\n",
       "      <td>1521</td>\n",
       "      <td>1521</td>\n",
       "      <td>1521</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                customer_id  customer_unique_id  customer_zip_code_prefix  \\\n",
       "customer_city                                                               \n",
       "sao paulo             15540               15540                     15540   \n",
       "rio de janeiro         6882                6882                      6882   \n",
       "belo horizonte         2773                2773                      2773   \n",
       "brasilia               2131                2131                      2131   \n",
       "curitiba               1521                1521                      1521   \n",
       "\n",
       "                customer_state  \n",
       "customer_city                   \n",
       "sao paulo                15540  \n",
       "rio de janeiro            6882  \n",
       "belo horizonte            2773  \n",
       "brasilia                  2131  \n",
       "curitiba                  1521  "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers_location=customers.groupby('customer_city').count().sort_values(by='customer_id',ascending=False)\n",
    "customers_location.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "7a5df2aa",
   "metadata": {},
   "outputs": [],
   "source": [
    "customers_location=customers.groupby('customer_city')['customer_id'].nunique().sort_values(ascending=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 57,
   "id": "cc2f8ef4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "customer_city\n",
       "sao paulo                15540\n",
       "rio de janeiro            6882\n",
       "belo horizonte            2773\n",
       "brasilia                  2131\n",
       "curitiba                  1521\n",
       "campinas                  1444\n",
       "porto alegre              1379\n",
       "salvador                  1245\n",
       "guarulhos                 1189\n",
       "sao bernardo do campo      938\n",
       "niteroi                    849\n",
       "santo andre                797\n",
       "osasco                     746\n",
       "santos                     713\n",
       "goiania                    692\n",
       "sao jose dos campos        691\n",
       "fortaleza                  654\n",
       "sorocaba                   633\n",
       "recife                     613\n",
       "florianopolis              570\n",
       "Name: customer_id, dtype: int64"
      ]
     },
     "execution_count": 57,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "customers_location.head(20)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "id": "e87ee395",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "        <script type=\"text/javascript\">\n",
       "        window.PlotlyConfig = {MathJaxConfig: 'local'};\n",
       "        if (window.MathJax && window.MathJax.Hub && window.MathJax.Hub.Config) {window.MathJax.Hub.Config({SVG: {font: \"STIX-Web\"}});}\n",
       "        if (typeof require !== 'undefined') {\n",
       "        require.undef(\"plotly\");\n",
       "        requirejs.config({\n",
       "            paths: {\n",
       "                'plotly': ['https://cdn.plot.ly/plotly-2.16.1.min']\n",
       "            }\n",
       "        });\n",
       "        require(['plotly'], function(Plotly) {\n",
       "            window._Plotly = Plotly;\n",
       "        });\n",
       "        }\n",
       "        </script>\n",
       "        "
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import chart_studio.plotly as py\n",
    "import cufflinks as cf\n",
    "cf.go_offline(connected=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "id": "a51be3fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.plotly.v1+json": {
       "config": {
        "linkText": "Export to plot.ly",
        "plotlyServerURL": "https://plot.ly",
        "showLink": true
       },
       "data": [
        {
         "marker": {
          "color": "rgba(255, 153, 51, 0.6)",
          "line": {
           "color": "rgba(255, 153, 51, 1.0)",
           "width": 1
          }
         },
         "name": "customer_id",
         "orientation": "v",
         "text": "",
         "type": "bar",
         "x": [
          "sao paulo",
          "rio de janeiro",
          "belo horizonte",
          "brasilia",
          "curitiba",
          "campinas",
          "porto alegre",
          "salvador",
          "guarulhos",
          "sao bernardo do campo",
          "niteroi",
          "santo andre",
          "osasco",
          "santos",
          "goiania",
          "sao jose dos campos",
          "fortaleza",
          "sorocaba",
          "recife",
          "florianopolis",
          "jundiai",
          "ribeirao preto",
          "belem",
          "nova iguacu",
          "barueri",
          "juiz de fora",
          "contagem",
          "sao goncalo",
          "mogi das cruzes",
          "vitoria",
          "uberlandia",
          "piracicaba",
          "sao luis",
          "sao jose do rio preto",
          "vila velha",
          "carapicuiba",
          "maua",
          "campo grande",
          "praia grande",
          "londrina",
          "taboao da serra",
          "diadema",
          "serra",
          "teresina",
          "indaiatuba",
          "sao caetano do sul",
          "bauru",
          "maringa",
          "taubate",
          "duque de caxias",
          "joinville",
          "joao pessoa",
          "cotia",
          "cuiaba",
          "maceio",
          "sao carlos",
          "petropolis",
          "macae",
          "campos dos goytacazes",
          "suzano",
          "volta redonda",
          "guaruja",
          "aracaju",
          "americana",
          "caxias do sul",
          "montes claros",
          "canoas",
          "natal",
          "betim",
          "santa maria",
          "marilia",
          "jacarei",
          "uberaba",
          "limeira",
          "blumenau",
          "pelotas",
          "feira de santana",
          "santana de parnaiba",
          "valinhos",
          "sumare",
          "itaquaquecetuba",
          "ipatinga",
          "itapevi",
          "sao jose",
          "sao vicente",
          "embu das artes",
          "franca",
          "presidente prudente",
          "atibaia",
          "rio claro",
          "araraquara",
          "cascavel",
          "nova friburgo",
          "braganca paulista",
          "hortolandia",
          "ponta grossa",
          "governador valadares",
          "aracatuba",
          "manaus",
          "marica",
          "cariacica",
          "rio das ostras",
          "divinopolis",
          "itu",
          "jaboatao dos guararapes",
          "sao joao de meriti",
          "sao jose dos pinhais",
          "pouso alegre",
          "paulinia",
          "sete lagoas",
          "rio grande",
          "novo hamburgo",
          "barra mansa",
          "cachoeiro de itapemirim",
          "pocos de caldas",
          "itajai",
          "teresopolis",
          "santa barbara d'oeste",
          "resende",
          "cabo frio",
          "passo fundo",
          "porto velho",
          "anapolis",
          "gravatai",
          "ferraz de vasconcelos",
          "belford roxo",
          "mage",
          "aparecida de goiania",
          "palmas",
          "franco da rocha",
          "ribeirao pires",
          "nilopolis",
          "sao leopoldo",
          "chapeco",
          "caieiras",
          "cajamar",
          "botucatu",
          "ribeirao das neves",
          "pindamonhangaba",
          "santa luzia",
          "patos de minas",
          "francisco morato",
          "balneario camboriu",
          "itapecerica da serra",
          "nova lima",
          "guaratingueta",
          "itatiba",
          "vinhedo",
          "palhoca",
          "salto",
          "araras",
          "itajuba",
          "mogi-guacu",
          "olinda",
          "criciuma",
          "vitoria da conquista",
          "vicosa",
          "varginha",
          "jaragua do sul",
          "caraguatatuba",
          "ananindeua",
          "foz do iguacu",
          "lages",
          "angra dos reis",
          "poa",
          "votorantim",
          "jandira",
          "conselheiro lafaiete",
          "assis",
          "lorena",
          "lavras",
          "sao joao da boa vista",
          "varzea paulista",
          "barbacena",
          "itanhaem",
          "ourinhos",
          "cubatao",
          "itabira",
          "sao roque",
          "birigui",
          "itapetininga",
          "araxa",
          "araruama",
          "ubatuba",
          "mesquita",
          "mogi mirim",
          "mairipora",
          "lauro de freitas",
          "catanduva",
          "teofilo otoni",
          "tatui",
          "rio branco",
          "cacapava",
          "jau",
          "viamao",
          "barretos",
          "ilheus",
          "cachoeirinha",
          "toledo",
          "pinhais",
          "pirassununga",
          "aruja",
          "campina grande",
          "rio verde",
          "guarapari",
          "sao joao del rei",
          "amparo",
          "linhares",
          "rondonopolis",
          "guarapuava",
          "manhuacu",
          "bage",
          "colatina",
          "petrolina",
          "muriae",
          "caruaru",
          "dourados",
          "avare",
          "valenca",
          "paracatu",
          "votuporanga",
          "parnamirim",
          "colombo",
          "caratinga",
          "sertaozinho",
          "itabuna",
          "jaguariuna",
          "santa cruz do sul",
          "camacari",
          "sao sebastiao",
          "brusque",
          "itaborai",
          "lagoa santa",
          "paranagua",
          "tubarao",
          "itapeva",
          "erechim",
          "ouro preto",
          "itauna",
          "campo mourao",
          "alvorada",
          "ituiutaba",
          "bento goncalves",
          "cruzeiro",
          "itapira",
          "lins",
          "queimados",
          "barra do pirai",
          "macapa",
          "araucaria",
          "jaboticabal",
          "unai",
          "araguari",
          "timoteo",
          "jatai",
          "tupa",
          "fernandopolis",
          "pato branco",
          "uba",
          "francisco beltrao",
          "ijui",
          "barreiras",
          "matao",
          "apucarana",
          "cosmopolis",
          "bebedouro",
          "joao monlevade",
          "lajeado",
          "nova serrana",
          "concordia",
          "boituva",
          "leme",
          "registro",
          "ibirite",
          "bertioga",
          "campo limpo paulista",
          "sao mateus",
          "itaguai",
          "uruguaiana",
          "saquarema",
          "paranavai",
          "videira",
          "patrocinio",
          "itaperuna",
          "embu-guacu",
          "santo angelo",
          "sinop",
          "ilhabela",
          "sao pedro da aldeia",
          "sao bento do sul",
          "boa vista",
          "lencois paulista",
          "vespasiano",
          "santarem",
          "vargem grande paulista",
          "itupeva",
          "juazeiro",
          "extrema",
          "sao jose do rio pardo",
          "peruibe",
          "curvelo",
          "louveira",
          "itapema",
          "tres coracoes",
          "passos",
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          "artur nogueira",
          "alfenas",
          "andradina",
          "sabara",
          "pirapora",
          "mongagua",
          "varzea grande",
          "tres lagoas",
          "paulista",
          "araguaina",
          "porto seguro",
          "ponte nova",
          "coronel fabriciano",
          "ouro branco",
          "esteio",
          "umuarama",
          "aracruz",
          "monte mor",
          "alagoinhas",
          "sao miguel do oeste",
          "imperatriz",
          "paulo afonso",
          "sapucaia do sul",
          "pedro leopoldo",
          "tres rios",
          "cacador",
          "bom despacho",
          "cianorte",
          "eunapolis",
          "guanambi",
          "capao da canoa",
          "tremembe",
          "nova odessa",
          "olimpia",
          "tiete",
          "penapolis",
          "guaxupe",
          "mossoro",
          "vassouras",
          "campo largo",
          "para de minas",
          "valparaiso de goias",
          "itumbiara",
          "sao sebastiao do paraiso",
          "alegrete",
          "luis eduardo magalhaes",
          "campo bom",
          "sobral",
          "caldas novas",
          "jequie",
          "pedreira",
          "adamantina",
          "telemaco borba",
          "camaragibe",
          "paracambi",
          "santa fe do sul",
          "almirante tamandare",
          "santa cruz do rio pardo",
          "capivari",
          "caucaia",
          "osorio",
          "rio do sul",
          "arapongas",
          "santa rita do sapucai",
          "maracanau",
          "formosa",
          "monte alto",
          "imbituba",
          "juazeiro do norte",
          "sao lourenco",
          "japeri",
          "catalao",
          "mococa",
          "sao joaquim da barra",
          "seropedica",
          "santa rosa",
          "mariana",
          "cataguases",
          "taquaritinga",
          "luziania",
          "cruz alta",
          "itabirito",
          "promissao",
          "montenegro",
          "formiga",
          "santo antonio de padua",
          "cachoeira do sul",
          "navegantes",
          "guaiba",
          "ibiuna",
          "marechal candido rondon",
          "garanhuns",
          "santo antonio de jesus",
          "jales",
          "ituverava",
          "gaspar",
          "santa isabel",
          "cerquilho",
          "congonhas",
          "gramado",
          "tijucas",
          "mirassol",
          "itarare",
          "alem paraiba",
          "orlandia",
          "arapiraca",
          "xanxere",
          "barra bonita",
          "arraial do cabo",
          "uniao da vitoria",
          "armacao dos buzios",
          "fazenda rio grande",
          "teixeira de freitas",
          "mafra",
          "corumba",
          "batatais",
          "capao bonito",
          "trindade",
          "dracena",
          "farroupilha",
          "primavera do leste",
          "itapolis",
          "rio bonito",
          "miguel pereira",
          "piumhii",
          "porto ferreira",
          "garca",
          "dois vizinhos",
          "camboriu",
          "carangola",
          "rolandia",
          "cambe",
          "caete",
          "matinhos",
          "diamantina",
          "parauapebas",
          "canoinhas",
          "viana",
          "santa barbara",
          "sapiranga",
          "santiago",
          "venancio aires",
          "joacaba",
          "mineiros",
          "frutal",
          "indaial",
          "brumadinho",
          "presidente venceslau",
          "rio grande da serra",
          "campos do jordao",
          "cachoeira paulista",
          "caceres",
          "biguacu",
          "arcos",
          "aparecida",
          "coromandel",
          "barra do garcas",
          "mairinque",
          "tramandai",
          "altamira",
          "nanuque",
          "cordeiro",
          "cornelio procopio",
          "lucas do rio verde",
          "tangara da serra",
          "cravinhos",
          "gurupi",
          "jacobina",
          "sao gabriel",
          "monte carmelo",
          "holambra",
          "carazinho",
          "ilha solteira",
          "sarandi",
          "aguas lindas de goias",
          "dias d'avila",
          "candeias",
          "piedade",
          "sao fidelis",
          "garopaba",
          "medianeira",
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          "aguas de lindoia",
          "presidente epitacio",
          "guapimirim",
          "vacaria",
          "brumado",
          "salinas",
          "castro",
          "ibitinga",
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          "irati",
          "aracati",
          "vera cruz",
          "rancharia",
          "cambui",
          "porto feliz",
          "piracaia",
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          "pitangui",
          "marau",
          "oliveira",
          "maraba",
          "claudio",
          "santos dumont",
          "pederneiras",
          "cachoeiras de macacu",
          "curitibanos",
          "machado",
          "cantagalo",
          "icara",
          "cabo de santo agostinho",
          "ibiruba",
          "simoes filho",
          "campo belo",
          "sao manuel",
          "cafelandia",
          "pinhalzinho",
          "bom jesus do itabapoana",
          "taquara",
          "juquitiba",
          "estancia velha",
          "carlos barbosa",
          "sao gotardo",
          "santana do livramento",
          "braco do norte",
          "tres pontas",
          "tambau",
          "laranjeiras do sul",
          "casimiro de abreu",
          "boa esperanca",
          "monte siao",
          "capelinha",
          "santo antonio de posse",
          "barrinha",
          "sorriso",
          "paraguacu paulista",
          "timbo",
          "picos",
          "piraju",
          "senhor do bonfim",
          "jacutinga",
          "paraty",
          "socorro",
          "jarinu",
          "nova granada",
          "conchal",
          "jaguariaiva",
          "iguaba grande",
          "miracema",
          "visconde do rio branco",
          "espera feliz",
          "palmital",
          "guararapes",
          "monte azul paulista",
          "pereira barreto",
          "nova venecia",
          "crato",
          "paragominas",
          "castelo",
          "bambui",
          "cruz das almas",
          "sao borja",
          "veranopolis",
          "barao de cocais",
          "mandaguari",
          "goianesia",
          "redencao",
          "iracemapolis",
          "espirito santo do pinhal",
          "paraiba do sul",
          "vilhena",
          "santa rita do passa quatro",
          "guapore",
          "ponta pora",
          "ipero",
          "cerqueira cesar",
          "dois irmaos",
          "bom jesus dos perdoes",
          "floriano",
          "guanhaes",
          "ararangua",
          "viradouro",
          "bonfim paulista",
          "pitangueiras",
          "quatro barras",
          "sarzedo",
          "canela",
          "sao francisco",
          "morrinhos",
          "itatiaia",
          "agua boa",
          "novo horizonte",
          "itapetinga",
          "torres",
          "pompeia",
          "bastos",
          "juina",
          "anchieta",
          "americo brasiliense",
          "panambi",
          "ipojuca",
          "ipora",
          "ji-parana",
          "alegre",
          "balsas",
          "piuma",
          "uruacu",
          "bonito",
          "leopoldina",
          "caxambu",
          "sao francisco do sul",
          "posse",
          "salgueiro",
          "jacarezinho",
          "penha",
          "santa vitoria",
          "igrejinha",
          "santo antonio da patrulha",
          "janauba",
          "laranjal paulista",
          "bom jardim",
          "tucurui",
          "charqueadas",
          "santo anastacio",
          "candido mota",
          "itabaiana",
          "santana do paraiso",
          "ouro fino",
          "osvaldo cruz",
          "cajati",
          "itaocara",
          "senador canedo",
          "rio negro",
          "manhumirim",
          "campo novo do parecis",
          "barra velha",
          "cordeiropolis",
          "marialva",
          "marataizes",
          "agudos",
          "guacui",
          "joao pinheiro",
          "natividade",
          "pirapora do bom jesus",
          "novo gama",
          "patos",
          "nova prata",
          "carmo do paranaiba",
          "palmeira",
          "pirai",
          "inhumas",
          "estrela",
          "buritis",
          "taquarituba",
          "caxias",
          "palmeira das missoes",
          "vitoria de santo antao",
          "sao francisco de itabapoana",
          "sao joao da barra",
          "petrolandia",
          "sao luiz gonzaga",
          "fraiburgo",
          "nova era",
          "presidente dutra",
          "marituba",
          "santa adelia",
          "junqueiropolis",
          "eldorado do sul",
          "cunha",
          "santa maria de jetiba",
          "cangucu",
          "conselheiro pena",
          "sao joao nepomuceno",
          "bariri",
          "iturama",
          "ituporanga",
          "venda nova do imigrante",
          "pariquera-acu",
          "timon",
          "sao mateus do sul",
          "iguatu",
          "santa ines",
          "lapa",
          "santo antonio do monte",
          "paraisopolis",
          "paranaiba",
          "bombinhas",
          "serrinha",
          "taio",
          "jaguare",
          "teutonia",
          "porto uniao",
          "sao simao",
          "triunfo",
          "vargem grande do sul",
          "campos novos",
          "capanema",
          "mirassol d'oeste",
          "bandeirantes",
          "lagoa vermelha",
          "itanhandu",
          "italva",
          "chapadao do sul",
          "laguna",
          "piraquara",
          "feliz",
          "sao gabriel da palha",
          "guariba",
          "sao lourenco do sul",
          "nossa senhora do socorro",
          "bom jesus",
          "pirapozinho",
          "miguelopolis",
          "itaporanga",
          "rosario do sul",
          "esmeraldas",
          "almenara",
          "pinheiral",
          "divino",
          "santa rosa de viterbo",
          "quirinopolis",
          "iguape",
          "serra negra",
          "niquelandia",
          "frederico westphalen",
          "sao jose de ribamar",
          "aperibe",
          "porangatu",
          "goiana",
          "mirandopolis",
          "tres marias",
          "conceicao de macabu",
          "santana",
          "mangaratiba",
          "sao sebastiao do cai",
          "ivoti",
          "bocaiuva",
          "irece",
          "tupaciguara",
          "pontal",
          "barra de sao joao",
          "quixada",
          "carmo",
          "ipameri",
          "matias barbosa",
          "itapecerica",
          "sacramento",
          "pojuca",
          "sao miguel arcanjo",
          "jardinopolis",
          "quissama",
          "maracaju",
          "salto de pirapora",
          "eusebio",
          "loanda",
          "casa branca",
          "cesario lange",
          "aluminio",
          "santa maria da vitoria",
          "cacoal",
          "descalvado",
          "ibirama",
          "paty do alferes",
          "ariquemes",
          "santa cruz do capibaribe",
          "parati",
          "rio negrinho",
          "taiobeiras",
          "camaqua",
          "imbe",
          "teodoro sampaio",
          "serrana",
          "quata",
          "ibate",
          "forquilhinha",
          "engenheiro coelho",
          "paraguacu",
          "guaramirim",
          "igarassu",
          "sao pedro",
          "alta floresta",
          "cajazeiras",
          "santo antonio da platina",
          "sao goncalo do amarante",
          "conceicao do mato dentro",
          "tres de maio",
          "sao joao",
          "brotas",
          "limoeiro do norte",
          "itamaraju",
          "pires do rio",
          "pirajui",
          "belo jardim",
          "andradas",
          "ibipora",
          "lucelia",
          "mendes",
          "pilar do sul",
          "maravilha",
          "mata de sao joao",
          "itapiranga",
          "sao lourenco da mata",
          "raul soares",
          "sao lourenco da serra",
          "santo amaro da imperatriz",
          "costa rica",
          "flores da cunha",
          "assis chateaubriand",
          "tapiratiba",
          "tabapua",
          "araripina",
          "santa gertrudes",
          "santa helena",
          "matozinhos",
          "jose bonifacio",
          "parobe",
          "macatuba",
          "sao jose do vale do rio preto",
          "abaete",
          "chavantes",
          "santa vitoria do palmar",
          "raposos",
          "taquari",
          "castilho",
          "treze tilias",
          "goioere",
          "corinto",
          "correia pinto",
          "sao lourenco do oeste",
          "itapipoca",
          "aracoiaba da serra",
          "alvinopolis",
          "rio brilhante",
          "paranapanema",
          "minacu",
          "afonso claudio",
          "bacabal",
          "goitacazes",
          "pompeu",
          "sidrolandia",
          "faxinal dos guedes",
          "araquari",
          "coxim",
          "jequitinhonha",
          "mantena",
          "lagoa da prata",
          "tapejara",
          "igarape",
          "dois corregos",
          "abaetetuba",
          "sombrio",
          "tres passos",
          "capinopolis",
          "floresta",
          "gravata",
          "guararema",
          "mostardas",
          "nova andradina",
          "andira",
          "ouroeste",
          "varzea da palma",
          "bezerros",
          "tanabi",
          "carandai",
          "boa esperanca do sul",
          "abreu e lima",
          "sao joao batista",
          "astolfo dutra",
          "coronel vivida",
          "rio das pedras",
          "barroso",
          "lagarto",
          "embu",
          "canarana",
          "encantado",
          "prata",
          "ibaiti",
          "itamonte",
          "brejo santo",
          "itai",
          "paraibuna",
          "salesopolis",
          "xaxim",
          "pradopolis",
          "santa teresa",
          "morada nova",
          "escada",
          "goiatuba",
          "conchas",
          "palestina",
          "juquia",
          "cicero dantas",
          "charqueada",
          "turmalina",
          "eloi mendes",
          "brodowski",
          "paicandu",
          "paraiso do tocantins",
          "arroio do meio",
          "caconde",
          "buri",
          "serra talhada",
          "caetite",
          "campo formoso",
          "cambara",
          "taua",
          "dom pedrito",
          "caico",
          "aguai",
          "sumidouro",
          "passa quatro",
          "capinzal",
          "querencia",
          "piracanjuba",
          "itajobi",
          "campo verde",
          "urussanga",
          "morro agudo",
          "papucaia",
          "nova xavantina",
          "barra de sao francisco",
          "antonina",
          "monte aprazivel",
          "aimores",
          "itaberaba",
          "urupes",
          "planaltina",
          "rolante",
          "taguai",
          "garibaldi",
          "aguas da prata",
          "santo amaro",
          "palotina",
          "balneario picarras",
          "girua",
          "catu",
          "duartina",
          "fartura",
          "portao",
          "auriflama",
          "sao goncalo do sapucai",
          "mimoso do sul",
          "regente feijo",
          "porecatu",
          "carpina",
          "biritiba-mirim",
          "resplendor",
          "ipira",
          "montanha",
          "aracariguama",
          "carmo do cajuru",
          "campina grande do sul",
          "campina verde",
          "guara",
          "guarabira",
          "julio de castilhos",
          "sao miguel do iguacu",
          "ampere",
          "penedo",
          "conceicao do coite",
          "herval d'oeste",
          "mateus leme",
          "valente",
          "santo augusto",
          "piquete",
          "ibatiba",
          "aracuai",
          "sobradinho",
          "crateus",
          "icem",
          "potirendaba",
          "pomerode",
          "coroata",
          "perdoes",
          "xinguara",
          "dourado",
          "rio paranaiba",
          "bom jesus da lapa",
          "itapoa",
          "borborema",
          "pedro de toledo",
          "porto belo",
          "domingos martins",
          "brasilia de minas",
          "russas",
          "mangueirinha",
          "mar de espanha",
          "sao joaquim",
          "arapoti",
          "braganca",
          "piranguinho",
          "carmo do rio claro",
          "faxinal",
          "camanducaia",
          "santa cruz das palmeiras",
          "santa juliana",
          "arroio dos ratos",
          "schroeder",
          "canaa dos carajas",
          "pau dos ferros",
          "rondon do para",
          "pontes e lacerda",
          "estancia",
          "nepomuceno",
          "guaratuba",
          "palmares",
          "bilac",
          "monte santo de minas",
          "nova londrina",
          "pesqueira",
          "cedral",
          "tiangua",
          "cajuru",
          "piratininga",
          "santa helena de goias",
          "muzambinho",
          "novo cruzeiro",
          "sao marcos",
          "queimadas",
          "camamu",
          "primavera",
          "pinhao",
          "colorado",
          "lindoia",
          "pinheiros",
          "alto paraiso de goias",
          "siqueira campos",
          "buritama",
          "colina",
          "itaguacu",
          "ibia",
          "mirai",
          "buritizeiro",
          "simonesia",
          "planalto",
          "serafina correa",
          "santa branca",
          "guaranesia",
          "macaubas",
          "taruma",
          "nova ponte",
          "paraopeba",
          "itaqui",
          "cristina",
          "joao neiva",
          "cristalina",
          "itamarandiba",
          "nova petropolis",
          "caetanopolis",
          "balneario pinhal",
          "crixas",
          "fervedouro",
          "palmeira dos indios",
          "dores de campos",
          "sao felix do xingu",
          "sao jose da lapa",
          "nucleo residencial pilar",
          "currais novos",
          "valparaiso",
          "cambuci",
          "santo antonio do jacinto",
          "nova esperanca",
          "maracai",
          "teotonio vilela",
          "itacare",
          "parapua",
          "porto nacional",
          "angatuba",
          "ouricuri",
          "lagoa grande",
          "cananeia",
          "sapezal",
          "poco fundo",
          "anicuns",
          "afogados da ingazeira",
          "papanduva",
          "itaiopolis",
          "mutum",
          "jandaia do sul",
          "nova europa",
          "botelhos",
          "cajobi",
          "vila valerio",
          "pontal do parana",
          "virginopolis",
          "baependi",
          "cacu",
          "chapadao do ceu",
          "arraial d'ajuda",
          "guaicara",
          "arroio do sal",
          "encruzilhada do sul",
          "alto do rodrigues",
          "bom jardim de minas",
          "rio acima",
          "ribeira do pombal",
          "camocim",
          "ortigueira",
          "hidrolandia",
          "baixo guandu",
          "martinopolis",
          "sao luis de montes belos",
          "cidade ocidental",
          "sao joaquim de bicas",
          "pirapetinga",
          "nhandeara",
          "quedas do iguacu",
          "colider",
          "goianira",
          "pirangi",
          "tucano",
          "codo",
          "goias",
          "mambore",
          "cocal",
          "jacare",
          "imbituva",
          "lauro muller",
          "arinos",
          "aripuana",
          "ecoporanga",
          "soledade",
          "pimenta bueno",
          "ipiau",
          "alvares machado",
          "perdizes",
          "jaguarao",
          "itambe",
          "ipaba",
          "xangri-la",
          "santa rita",
          "acarau",
          "lambari",
          "navirai",
          "marilandia",
          "porciuncula",
          "ico",
          "trajano de moraes",
          "orleans",
          "getulio vargas",
          "coribe",
          "divinolandia",
          "santa cecilia",
          "rodeio",
          "piedade de caratinga",
          "vila muriqui",
          "limoeiro",
          "general salgado",
          "santa albertina",
          "entre rios de minas",
          "ervalia",
          "dores do indaia",
          "alfredo chaves",
          "alpinopolis",
          "nova veneza",
          "firminopolis",
          "malacacheta",
          "eldorado",
          "estiva gerbi",
          "horizontina",
          "santa rita do araguaia",
          "nova russas",
          "rubiataba",
          "rolim de moura",
          "acreuna",
          "perdigao",
          "luis antonio",
          "madre de deus",
          "espumoso",
          "acailandia",
          "santa maria madalena",
          "guarani",
          "acopiara",
          "ruy barbosa",
          "morro do chapeu",
          "dianopolis",
          "cansancao",
          "ipaussu",
          "lajedo",
          "nazare paulista",
          "avanhandava",
          "ivaipora",
          "casca",
          "casa nova",
          "presidente getulio",
          "bady bassitt",
          "diamantino",
          "sao raimundo nonato",
          "passo de torres",
          "nao-me-toque",
          "tocantinopolis",
          "missal",
          "catende",
          "tres cachoeiras",
          "astorga",
          "sao jose do norte",
          "comodoro",
          "arceburgo",
          "areado",
          "areal",
          "matupa",
          "ribeirao bonito",
          "medeiros neto",
          "ipanema",
          "neropolis",
          "inhambupe",
          "inhapim",
          "ceu azul",
          "cerro largo",
          "ceres",
          "timbauba",
          "barra da estiva",
          "confresa",
          "barra do corda",
          "teixeiras",
          "itapui",
          "bicas",
          "prudentopolis",
          "silvania",
          "cachoeira de minas",
          "taquaritinga do norte",
          "morungaba",
          "simao dias",
          "cabedelo",
          "bocaina",
          "bom conselho",
          "sousa",
          "morro da fumaca",
          "taguatinga",
          "itapuranga",
          "mozarlandia",
          "mucuri",
          "campo maior",
          "itobi",
          "itabera",
          "terra roxa",
          "terra rica",
          "campos belos",
          "pinhalao",
          "campo ere",
          "bela vista de goias",
          "lagoa formosa",
          "primeiro de maio",
          "campinorte",
          "bayeux",
          "campanha",
          "piripiri",
          "conceicao do araguaia",
          "comendador levy gasparian",
          "apiuna",
          "igarapava",
          "cruz",
          "sao domingos do norte",
          "marmeleiro",
          "sao gabriel do oeste",
          "cruzeiro do oeste",
          "aparecida do taboado",
          "sao jeronimo",
          "potiragua",
          "cruzeiro do sul",
          "sao domingos",
          "ibotirama",
          "sao cristovao",
          "ibira",
          "porto real",
          "sao bento do sapucai",
          "paco do lumiar",
          "santo cristo",
          "jaragua",
          "sao joao evangelista",
          "pirai do sul",
          "sao joao dos patos",
          "ubirata",
          "sao francisco de paula",
          "nova trento",
          "amambai",
          "pacaja",
          "quixeramobim",
          "sapucaia",
          "caninde",
          "barcarena",
          "presidente olegario",
          "barbalha",
          "fronteira",
          "campinas do sul",
          "joanopolis",
          "iacanga",
          "apiaca",
          "itaberai",
          "santa cruz",
          "barreiros",
          "canavieiras",
          "rio das flores",
          "seara",
          "aguas belas",
          "itariri",
          "rio novo do sul",
          "pacaembu",
          "campos de julio",
          "santo amaro de campos",
          "seabra",
          "nova santa rita",
          "apiai",
          "canapolis",
          "piratuba",
          "monte alegre do sul",
          "jaiba",
          "gravatal",
          "abre campo",
          "itaobim",
          "paraiso",
          "bofete",
          "sales oliveira",
          "itapaje",
          "soledade de minas",
          "sabinopolis",
          "butia",
          "abelardo luz",
          "brazopolis",
          "itapejara d'oeste",
          "tangua",
          "bom principio",
          "borda da mata",
          "rio largo",
          "tapes",
          "lima duarte",
          "mundo novo",
          "sananduva",
          "guapo",
          "piritiba",
          "oeiras",
          "camapua",
          "camacan",
          "california da barra",
          "itaipulandia",
          "guapiacu",
          "cabreuva",
          "benedito novo",
          "ronda alta",
          "itapura",
          "uruara",
          "itambacuri",
          "cachoeira alta",
          "cabrobo",
          "realeza",
          "jacunda",
          "reboucas",
          "jeceaba",
          "martins soares",
          "presidente bernardes",
          "mamanguape",
          "medina",
          "mallet",
          "santa rita de caldas",
          "nova prata do iguacu",
          "tres coroas",
          "sao joao do piaui",
          "orizona",
          "turvo",
          "catole do rocha",
          "catigua",
          "ubaira",
          "catanduvas",
          "trancoso",
          "sao joao do paraiso",
          "esplanada",
          "cassia",
          "araujos",
          "mata verde",
          "engenheiro paulo de frontin",
          "rio pomba",
          "entre rios",
          "sao jose da barra",
          "conceicao da aparecida",
          "conquista",
          "pombal",
          "indianopolis",
          "jaru",
          "tupi paulista",
          "sao jose do calcado",
          "esperanca",
          "vazante",
          "espigao do oeste",
          "espinosa",
          "rio branco do sul",
          "assai",
          "ipora do oeste",
          "pacajus",
          "juruaia",
          "alcinopolis",
          "cardoso moreira",
          "carai",
          "cardoso",
          "carlopolis",
          "jeremoabo",
          "carmo da mata",
          "bananal",
          "regeneracao",
          "fernando prestes",
          "santa isabel do para",
          "sao sepe",
          "torrinha",
          "rio pardo",
          "tocantins",
          "irapuru",
          "sao goncalo do rio abaixo",
          "balsamo",
          "cosmorama",
          "rafard",
          "inacio martins",
          "jatoba",
          "rio azul",
          "pinheiro machado",
          "quatro bocas",
          "itapagipe",
          "icapui",
          "ribeirao claro",
          "guabiruba",
          "igarata",
          "quatis",
          "roseira",
          "japuiba",
          "ribeirao do pinhal",
          "rio manso",
          "joviania",
          "jaguaribe",
          "quatigua",
          "lago da pedra",
          "prado",
          "iraquara",
          "japura",
          "ipumirim",
          "ibicarai",
          "jesuania",
          "guaracai",
          "rio pardo de minas",
          "itau de minas",
          "jordania",
          "juara",
          "porteirinha",
          "itauba",
          "ibirarema",
          "rio casca",
          "livramento de nossa senhora",
          "horizonte",
          "riachao do jacuipe",
          "jauru",
          "jacupiranga",
          "iconha",
          "joao lisboa",
          "guarei",
          "holambra ii",
          "porto xavier",
          "guaraniacu",
          "guaranta",
          "iepe",
          "lagoa da confusao",
          "jardim",
          "guaranta do norte",
          "lagoa dourada",
          "ladario",
          "roque gonzales",
          "laurentino",
          "remanso",
          "esperantina",
          "granja",
          "carapebus",
          "capivari de baixo",
          "capitolio",
          "capitao leonidas marques",
          "sao tiago",
          "capim grosso",
          "grajau",
          "campos gerais",
          "campos altos",
          "senges",
          "cambuquira",
          "serra dos aimores",
          "monte azul",
          "caldas",
          "monte belo",
          "sete barras",
          "paramirim",
          "severinia",
          "cacapava do sul",
          "buriticupu",
          "sirinhaem",
          "paraipaba",
          "buenopolis",
          "sooretama",
          "moreno",
          "brauna",
          "sao sebastiao do passe",
          "sao roque do canaa",
          "surubim",
          "miracatu",
          "pedro canario",
          "pedra preta",
          "conceicao do rio verde",
          "pedra azul",
          "conceicao do castelo",
          "pecanha",
          "peabiru",
          "paulo frontin",
          "colombia",
          "paulo de faria",
          "sao jose do cedro",
          "sao jose do ouro",
          "cidreira",
          "cidade gaucha",
          "chui",
          "mendes pimentel",
          "mendonca",
          "sao miguel do araguaia",
          "sao miguel do guama",
          "catas altas",
          "miguel calmon",
          "castelandia",
          "cassilandia",
          "carmopolis de minas",
          "sao romao",
          "sud mennucci",
          "tabatinga",
          "cunha pora",
          "araguatins",
          "aracoiaba",
          "una",
          "antonio prado",
          "urbano santos",
          "anita garibaldi",
          "andorinha",
          "utinga",
          "ourilandia do norte",
          "otacilio costa",
          "vargem alta",
          "vargem bonita",
          "nova fatima",
          "altos",
          "alto parnaiba",
          "alto boa vista",
          "alto araguaia",
          "nova mutum",
          "orindiuva",
          "alexania",
          "aguas formosas",
          "agua branca",
          "ocaucu",
          "adolfo",
          "novo progresso",
          "ze doca",
          "pacatuba",
          "arapora",
          "tabira",
          "araruna",
          "taiuva",
          "bonfim",
          "bom sucesso",
          "paracuru",
          "tarabai",
          "bituruna",
          "belo oriente",
          "bataguassu",
          "panorama",
          "terra de areia",
          "palmitos",
          "palmitinho",
          "barra do ribeiro",
          "timburi",
          "bananeiras",
          "palmeira d'oeste",
          "tombos",
          "toritama",
          "aurora",
          "palmares do sul",
          "tres barras",
          "tres fronteiras",
          "ariranha",
          "trombudo central",
          "arcoverde",
          "marechal floriano",
          "colonia vitoria",
          "sao benedito",
          "eugenopolis",
          "custodia",
          "garuva",
          "sao bento do una",
          "macaiba",
          "sao bento",
          "feira nova",
          "santo estevao",
          "maragogi",
          "fundao",
          "santa barbara d oeste",
          "santa fe",
          "macau",
          "maracas",
          "diamante do norte",
          "santo antonio do jardim",
          "frei inocencio",
          "santo antonio do descoberto",
          "santa cruz cabralia",
          "divinolandia de minas",
          "dom feliciano",
          "santa cruz de minas",
          "general carneiro",
          "dom eliseu",
          "santa quiteria",
          "saltinho",
          "euclides da cunha",
          "sales",
          "estacao",
          "mandaguacu",
          "elias fausto",
          "cabralia paulista",
          "terra boa",
          "munhoz de melo",
          "cacequi",
          "jussara",
          "itatinga",
          "florida paulista",
          "muqui",
          "barro",
          "cachoeira",
          "silva jardim",
          "barreirinhas",
          "sideropolis",
          "brejo da madre de deus",
          "presidente tancredo neves",
          "santa cruz de monte castelo",
          "parambu",
          "sertania",
          "sertanopolis",
          "balneario arroio do silva",
          "balneario barra do sul",
          "forquilha",
          "caiaponia",
          "formoso do araguaia",
          "rio do campo",
          "tiradentes",
          "poco verde",
          "tibagi",
          "barra do bugres",
          "mutuipe",
          "itiuba",
          "munhoz",
          "propria",
          "itanhomi",
          "fazenda nova",
          "buerarema",
          "itapaci",
          "tailandia",
          "guaruja do sul",
          "santa maria de itabira",
          "bueno brandao",
          "morretes",
          "bela cruz",
          "fatima do sul",
          "itaperucu",
          "itapemirim",
          "pinheiro",
          "santa mariana",
          "itapecuru mirim",
          "guimarania",
          "quarai",
          "bom repouso",
          "bom jesus do norte",
          "bom jesus do galho",
          "tanhacu",
          "pien",
          "santa lucia",
          "boa vista da aparecida",
          "figueira",
          "tarumirim",
          "bernardino de campos",
          "santa fe de goias",
          "papagaios",
          "prudente de morais",
          "teolandia",
          "juti",
          "curiuva",
          "arvorezinha",
          "nazare",
          "salto veloso",
          "jari",
          "varre-sai",
          "varjota",
          "salto do ceu",
          "juatuba",
          "salto do jacui",
          "salto do lontra",
          "valenca do piaui",
          "urania",
          "analandia",
          "pongai",
          "urucui",
          "uruana",
          "jucurutu",
          "gandu",
          "anta",
          "alto rio doce",
          "glicerio",
          "alto jequitiba",
          "goianapolis",
          "governador portela",
          "gouveia",
          "rosana",
          "volta grande",
          "agua doce do norte",
          "jijoca de jericoacoara",
          "nova santa rosa",
          "jesuitas",
          "aiuruoca",
          "alcobaca",
          "vila dos cabanos",
          "nova olinda do maranhao",
          "nova olinda",
          "guadalupe",
          "altinopolis",
          "anta gorda",
          "ouro preto do oeste",
          "avelar",
          "jacaraci",
          "tupancireta",
          "guaraci",
          "arealva",
          "tucuma",
          "palma",
          "guaraciaba do norte",
          "trindade do sul",
          "guarai",
          "nova bassano",
          "pilao arcado",
          "itaitinga",
          "ascurra",
          "palma sola",
          "macedonia",
          "travessao",
          "santa cruz da conceicao",
          "jacinto machado",
          "araputanga",
          "jacui",
          "arandu",
          "nova bandeirantes",
          "jambeiro",
          "posto da mata",
          "nova aurora",
          "gameleira",
          "sanclerlandia",
          "uibai",
          "jaguaruana",
          "aquidauana",
          "arace",
          "pilar",
          "aragarcas",
          "ubaitaba",
          "uaua",
          "padre bernardo",
          "rio preto",
          "caarapo",
          "irineopolis",
          "santo antonio do amparo",
          "pedrinhas paulista",
          "catuipe",
          "mario campos",
          "sao miguel do guapore",
          "santo antonio das missoes",
          "rio bonito do iguacu",
          "sao miguel",
          "ipiabas",
          "merces",
          "centenario do sul",
          "cerro azul",
          "piranhas",
          "chapada",
          "riacho de santana",
          "mantenopolis",
          "rio novo",
          "chapada gaucha",
          "carmo da cachoeira",
          "corumbaiba",
          "sao sebastiao da grama",
          "miranda",
          "ipua",
          "ipu",
          "dom silverio",
          "iacu",
          "milagres",
          "iapu",
          "renascenca",
          "sao pedro dos ferros",
          "ipiranga",
          "corrente",
          "minas novas",
          "chapada dos guimaraes",
          "maristela",
          "carbonita",
          "ilha de itamaraca",
          "colinas",
          "congonhal",
          "ilhota",
          "ibiam",
          "condor",
          "joaquim nabuco",
          "ilha comprida",
          "coelho neto",
          "matipo",
          "iguatama",
          "delmiro gouveia",
          "conceicao das pedras",
          "condado",
          "piranga",
          "igaracu do tiete",
          "lavinia",
          "rianapolis",
          "maurilandia",
          "chopinzinho",
          "indiara",
          "maracacume",
          "rio bananal",
          "ribeirao",
          "inaja",
          "sao jose do egito",
          "cocalinho",
          "conservatoria",
          "claudia",
          "clementina",
          "imbuia",
          "coaraci",
          "cocal do sul",
          "sao sebastiao do alto",
          "iaciara",
          "saudade do iguacu",
          "maravilhas",
          "parelhas",
          "pirenopolis",
          "moju",
          "itabela",
          "candido de abreu",
          "candelaria",
          "saudades",
          "parauna",
          "campos sales",
          "eliseu martins",
          "campo do meio",
          "senador pompeu",
          "rio piracicaba",
          "campo alegre",
          "sao domingos do prata",
          "candido rodrigues",
          "cruzilia",
          "pejucara",
          "paranaita",
          "monte alegre de minas",
          "cuite",
          "serra do ramalho",
          "quintana",
          "cameta",
          "quilombo",
          "santana do acarau",
          "santana da vargem",
          "ibiraci",
          "eneas marques",
          "itaipava",
          "peixoto de azevedo",
          "conceicao dos ouros",
          "santana do jacare",
          "carajas",
          "crisopolis",
          "sao tomas de aquino",
          "santanesia",
          "corupa",
          "candiota",
          "irapua",
          "sao geraldo",
          "manoel ribas",
          "humaita",
          "capao do leao",
          "sapucai-mirim",
          "rio do pires",
          "edeia",
          "canelinha",
          "cristais paulista",
          "irani",
          "dores do rio preto",
          "dumont",
          "lupercio",
          "marco",
          "nuporanga",
          "luzilandia",
          "pedra bela",
          "pindare mirim",
          "nova erechim",
          "nova monte verde",
          "novo sao joaquim",
          "nova cruz",
          "nova cantu",
          "pindobacu",
          "nova canaa do norte",
          "joaquim tavora",
          "olindina",
          "massaranduba",
          "maria da fe",
          "pedro osorio",
          "pedreiras",
          "maripa",
          "oroco",
          "olho d'agua das flores",
          "oriente",
          "luminarias",
          "pedralva",
          "pedro afonso",
          "luiziania",
          "mari",
          "oscar bressane",
          "pedra branca",
          "pedrinopolis",
          "nova hartz",
          "nova soure",
          "jose de freitas",
          "pitanga",
          "pedra",
          "moreira sales",
          "mirante do paranapanema",
          "manoel viana",
          "motuca",
          "madre de deus de minas",
          "morro reuter",
          "mirinzal",
          "maioba",
          "lobato",
          "parai",
          "pirauba",
          "paraibano",
          "mombuca",
          "morada nova de minas",
          "liberdade",
          "monsenhor tabosa",
          "montalvania",
          "major vieira",
          "lagoa dos gatos",
          "paraiso do norte",
          "monte verde",
          "piumhi",
          "paranaiguara",
          "pereiro",
          "monte carlo",
          "manduri",
          "paranacity",
          "pantano grande",
          "lagoinha",
          "mirandiba",
          "lontras",
          "lavras do sul",
          "ouro verde",
          "mato verde",
          "maranguape",
          "nova alvorada do sul",
          "nova alvorada",
          "paulistana",
          "jumirim",
          "pains",
          "jundiai do sul",
          "pauliceia",
          "maximiliano de almeida",
          "neves paulista",
          "poloni",
          "manga",
          "patu",
          "pocrane",
          "lajinha",
          "piedade dos gerais",
          "palmeiras de goias",
          "juruena",
          "mineiros do tiete",
          "machadinho d'oeste",
          "piedade do rio grande",
          "pocinhos",
          "meleiro",
          "abadia dos dourados",
          "joao ramalho",
          "sao jose do turvo",
          "sao tome",
          "capitao poco",
          "sao sebastiao do maranhao",
          "carambei",
          "caraubas",
          "caravelas",
          "carire",
          "carius",
          "carlos chagas",
          "carmo de minas",
          "sao pedro do ivai",
          "carneirinho",
          "sao pedro da uniao",
          "carrancas",
          "carvalhopolis",
          "castanheira",
          "sao miguel do tapuio",
          "catarina",
          "cedro de sao joao",
          "sao mateus do maranhao",
          "sao martinho",
          "sao luis do paraitinga",
          "sao ludgero",
          "sao valentim",
          "sao vicente ferrer",
          "capela do alto",
          "caibi",
          "cabeceira grande",
          "cabo verde",
          "silvianopolis",
          "silveiras",
          "cachoeira de pajeu",
          "cachoeira dourada",
          "cacule",
          "setubinha",
          "cafeara",
          "caiana",
          "sertao",
          "capela",
          "serrolandia",
          "caldeirao grande",
          "serranopolis",
          "campestre",
          "campina da lagoa",
          "campinapolis",
          "campos borges",
          "camutanga",
          "candido sales",
          "capao do cipo",
          "chapadinha",
          "clevelandia",
          "santana do cariri",
          "sao jose do cerrito",
          "sao francisco do conde",
          "cristais",
          "cristal",
          "cristalandia",
          "cristalia",
          "cruz machado",
          "cruzalia",
          "curaca",
          "curuca",
          "cururupu",
          "sao bernardo",
          "delfinopolis",
          "deputado irapuan pinheiro",
          "descoberto",
          "santo antonio do sudoeste",
          "dionisio cerqueira",
          "santo antonio do itambe",
          "dois irmaos do buriti",
          "dom aquino",
          "dom basilio",
          "santo antonio da alegria",
          "dom pedro",
          "santana do mundau",
          "coruripe",
          "sao goncalo do para",
          "sao goncalo do rio preto",
          "conceicao do jacuipe",
          "sao jose do barreiro",
          "colinas do tocantins",
          "sao jose de uba",
          "colniza",
          "colonia castrolanda",
          "sao jose de mipibu",
          "coluna",
          "conceicao da barra",
          "sao jose da bela vista",
          "conceicao das alagoas",
          "conceicao do para",
          "sao joao batista do gloria",
          "conceicao do tocantins",
          "concordia do para",
          "sao joao do triunfo",
          "coracao de jesus",
          "sao joao do manteninha",
          "corbelia",
          "coremas",
          "sao joao de iracema",
          "coronel joao sa",
          "sao joao d'alianca",
          "breu branco",
          "sucesso",
          "sume",
          "brasil novo",
          "ventania",
          "varzelandia",
          "alto santo",
          "alto taquari",
          "altonia",
          "alvorada do norte",
          "vargem alegre",
          "amelia rodrigues",
          "americano do brasil",
          "valentim gentil",
          "vale real",
          "urutai",
          "andrelandia",
          "urupa",
          "angulo",
          "urubici",
          "antonio carlos",
          "urai",
          "upanema",
          "antonio prado de minas",
          "uniao de minas",
          "umbauba",
          "apodi",
          "vera",
          "vera cruz do oeste",
          "alto alegre",
          "aguas vermelhas",
          "xique-xique",
          "abatia",
          "acu",
          "xambioa",
          "witmarsum",
          "vitorino freire",
          "vista alegre do alto",
          "aguas de santa barbara",
          "aguas de sao pedro",
          "visconde de maua",
          "virgem da lapa",
          "alterosa",
          "vila rica",
          "alambari",
          "vila langaro",
          "vila flores",
          "vigia",
          "alfredo vasconcelos",
          "vianopolis",
          "verissimo",
          "alta floresta d'oeste",
          "vere",
          "uchoa",
          "araci",
          "ubaporanga",
          "bela vista do paraiso",
          "barra dos coqueiros",
          "barracao",
          "barras",
          "terra nova do norte",
          "barro alto",
          "barros cassal",
          "batalha",
          "baturite",
          "beberibe",
          "bela vista",
          "teofilandia",
          "barra do tarrachil",
          "belo campo",
          "belo vale",
          "tenente portela",
          "tejupa",
          "taquarivai",
          "boa viagem",
          "tanque novo",
          "bom jesus do tocantins",
          "bom retiro do sul",
          "tabocas do brejo velho",
          "barra do turvo",
          "barra do mendes",
          "ubajara",
          "tres arroios",
          "tuparetama",
          "tupandi",
          "tucunduva",
          "areia branca",
          "areia branca dos assis",
          "areias",
          "areiopolis",
          "arroio grande",
          "arrozal",
          "ataleia",
          "augusto correa",
          "barra do choca",
          "azurita",
          "bacuri",
          "toropi",
          "tomazina",
          "balneario gaivota",
          "balneario rincao",
          "bandeira",
          "tiros",
          "timbe do sul",
          "barbosa ferraz",
          "santana do manhuacu",
          "colorado do oeste",
          "santana do araguaia",
          "ilopolis",
          "ibiai",
          "ibiapina",
          "rio fortuna",
          "ibicoara",
          "ibimirim",
          "rio do oeste",
          "rio de contas",
          "rinopolis",
          "ribeirao do sul",
          "imaculada",
          "ipiacu",
          "imigrante",
          "inaciolandia",
          "indiana",
          "indiapora",
          "ribeira",
          "riacho dos machados",
          "inubia paulista",
          "restinga seca",
          "reserva",
          "rio maria",
          "hidreletrica tucurui",
          "herculandia",
          "rio real",
          "gaurama",
          "saloa",
          "salgado filho",
          "goianesia do para",
          "goianinha",
          "goncalves",
          "governador celso ramos",
          "sabino",
          "rubim",
          "grao mogol",
          "grao para",
          "guajara-mirim",
          "guapiara",
          "guaraciaba",
          "rodelas",
          "rodeiro",
          "ritapolis",
          "riqueza",
          "riolandia",
          "resende costa",
          "reriutaba",
          "garrafao do norte",
          "jaciara",
          "itinga",
          "itirucu",
          "ituacu",
          "itubera",
          "presidente medici",
          "ivate",
          "ivinhema",
          "jaborandi",
          "prados",
          "pouso redondo",
          "ipubi",
          "pouso alto",
          "jaguari",
          "pote",
          "janiopolis",
          "japira",
          "jaqueira",
          "jardim do serido",
          "ponte serrada",
          "joao alfredo",
          "itatim",
          "itarantim",
          "itarana",
          "itapora",
          "reginopolis",
          "ipueiras",
          "redentora",
          "recreio",
          "raposo",
          "ita",
          "quixere",
          "itacarambi",
          "quixabeira",
          "quinta do sol",
          "itaituba",
          "itaja",
          "itaju",
          "itajuipe",
          "itamari",
          "itaoca",
          "quadra",
          "itapissuma",
          "itapitanga",
          "gastao vidigal",
          "iati",
          "novo oriente",
          "sanharo",
          "estrela do norte",
          "fronteiras",
          "santa terezinha de itaipu",
          "santa rita d'oeste",
          "entre rios do oeste",
          "santa rita de minas",
          "francisco sa",
          "entre-ijuis",
          "francisco badaro",
          "florestal",
          "fortuna",
          "santa tereza do oeste",
          "estreito",
          "florestopolis",
          "santa rosa de lima",
          "formosa do rio preto",
          "esperantinopolis",
          "santaluz",
          "formoso",
          "fatima",
          "santa margarida",
          "sangao",
          "santa isabel do ivai",
          "gameleiras",
          "pedro ii",
          "sao domingos das dores",
          "santa maria da serra",
          "tutoia",
          "perpetuo socorro",
          "queluz",
          "ubata",
          "palmeirinha",
          "placas",
          "sao domingos do maranhao",
          "putinga",
          "santa rita do ibitipoca",
          "turvolandia",
          "uniao dos palmares",
          "sao bras do suacui",
          "santa maria da boa vista",
          "planaltina de goias",
          "ouro verde de minas",
          "protasio alves",
          "urandi",
          "planura",
          "penaforte",
          "urucuca",
          "pacoti",
          "turvania",
          "tracunhaem",
          "sao felipe",
          "trairi",
          "rancho alegre",
          "santa mercedes",
          "quixelo",
          "rancho queimado",
          "santa monica",
          "piripa",
          "quitandinha",
          "quijingue",
          "sao francisco do guapore",
          "tomar do geru",
          "santa maria do suacui",
          "rechan",
          "tocos",
          "urucurituba",
          "tunas do parana",
          "sao goncalo do abaete",
          "tobias barreto",
          "quevedos",
          "santa maria do para",
          "palmeiras",
          "tuparendi",
          "paiva",
          "sao francisco de assis",
          "pimenta",
          "uruoca",
          "porto trombetas",
          "vila nova",
          "porto franco",
          "porto firme",
          "porto esperidiao",
          "virgolandia",
          "porto calvo",
          "porto amazonas",
          "portelandia",
          "vitoria do mearim",
          "olho d'agua das cunhas",
          "portalegre",
          "oeiras do para",
          "wanderley",
          "wenceslau braz",
          "wenceslau guimaraes",
          "werneck",
          "porangaba",
          "ocara",
          "ponto dos volantes",
          "xambre",
          "santana dos montes",
          "xapuri",
          "xavantina",
          "santana do serido",
          "pontalinda",
          "novo repartimento",
          "zacarias",
          "vila nelita",
          "oliveira dos brejinhos",
          "perola d'oeste",
          "pentecoste",
          "perola",
          "peritiba",
          "periquito",
          "sao joao das missoes",
          "vargem",
          "pendencias",
          "pocoes",
          "presidente kubitschek",
          "varjao de minas",
          "varzea alegre",
          "presidente kennedy",
          "santo eduardo",
          "santo antonio do pinhal",
          "presidente alves",
          "venturosa",
          "santo antonio do palma",
          "oros",
          "santa teresinha",
          "poxoreu",
          "santo antonio do grama",
          "vereda",
          "santa terezinha",
          "potim",
          "potengi",
          "vicencia",
          "vicentinopolis",
          "victor graeff",
          "sao joao da mata",
          "panelas",
          "piacabucu",
          "satubinha",
          "sao thome das letras",
          "santa clara do sul",
          "rondon",
          "sao vendelino",
          "sape",
          "sapeacu",
          "roncador",
          "romaria",
          "paripiranga",
          "sapopema",
          "sarapui",
          "rodolfo fernandes",
          "satuba",
          "saude",
          "santa barbara do sul",
          "santa cruz de goias",
          "paulo jacinto",
          "seberi",
          "senador amaral",
          "senador firmino",
          "senador guiomard",
          "senador modestino goncalves",
          "senhora de oliveira",
          "rodeio bonito",
          "paranatinga",
          "sericita",
          "seringueiras",
          "paranapua",
          "passa tres",
          "rubiacea",
          "reserva do cabacal",
          "salmourao",
          "sao jose dos quatro marcos",
          "sao luis do quitunde",
          "pau d'arco",
          "salto da divisa",
          "sao miguel do gostoso",
          "paudalho",
          "patrocinio paulista",
          "pimenteiras",
          "sao miguel dos campos",
          "pindai",
          "sao paulo das missoes",
          "patrocinio do muriae",
          "sao paulo do potengi",
          "sao jose do rio claro",
          "sao jose do belmonte",
          "sao jose do hortencio",
          "sao jose do goiabal",
          "sao pedro de alcantara",
          "pindoba",
          "sao pedro do turvo",
          "pato bragado",
          "sao roque de minas",
          "sao jose do divino",
          "pastos bons",
          "passos maia",
          "pindorama",
          "sao sebastiao da boa vista",
          "pindorama do tocantins",
          "roca sales",
          "serra azul de minas",
          "paulo lopes",
          "teixeira soares",
          "tabuleiro",
          "tacaratu",
          "taciba",
          "santa helena de minas",
          "tamarana",
          "rifaina",
          "tanque d'arca",
          "ribeiraozinho",
          "tapirai",
          "tapiramuta",
          "taquaracu de minas",
          "ribeirao vermelho",
          "sao joao do sul",
          "sao joao do oriente",
          "serra de sao bento",
          "ribeirao branco",
          "piau",
          "piata",
          "pedras de fogo",
          "pedregulho",
          "sao joao do manhuacu",
          "sao joao do ivai",
          "riacho das almas",
          "riachinho",
          "sao luis do curu",
          "riachao das neves",
          "santa izabel do oeste",
          "sao joao de pirabas",
          "rio das antas",
          "tabapora",
          "rio do antonio",
          "sucupira do norte",
          "serra dourada",
          "serrania",
          "pontalina",
          "serranopolis do iguacu",
          "serrita",
          "serro",
          "rio tinto",
          "sao jose da vitoria",
          "sao jose da laje",
          "pintadas",
          "parana",
          "santana da boa vista",
          "sao jose da coroa grande",
          "santa cruz de salinas",
          "santa cruz do prata",
          "sao jorge do patrocinio",
          "rio formoso",
          "santa ernestina",
          "simolandia",
          "sinimbu",
          "sitio do quinto",
          "sitio novo",
          "sitio novo do tocantins",
          "piracuruca",
          "solonopole",
          "sonora",
          "picui",
          "novo oriente do piaui",
          "zortea",
          "jaboti",
          "itamogi",
          "itapiuna",
          "itapirapua paulista",
          "itapirapua",
          "itapicuru",
          "itapetim",
          "brazabrantes",
          "itamira",
          "bras pires",
          "itambaraca",
          "itaguaru",
          "itaguara",
          "itaguaje",
          "buenos aires",
          "itagiba",
          "brasilandia de minas",
          "itaquirai",
          "itabatan",
          "itueta",
          "boninal",
          "boqueirao do leao",
          "jabora",
          "ivai",
          "iuna",
          "borrazopolis",
          "itororo",
          "itaquitinga",
          "itirapina",
          "itaueira",
          "itau",
          "botuvera",
          "itatiaiucu",
          "braco do rio",
          "itagi",
          "itabaianinha",
          "camocim de sao felix",
          "iguaracu",
          "inhauma",
          "inhapi",
          "caiua",
          "inconfidentes",
          "imbe de minas",
          "imbau",
          "iguai",
          "inimutaba",
          "igreja nova",
          "california",
          "igaci",
          "ielmo marinho",
          "ichu",
          "cambira",
          "caibate",
          "ipaporanga",
          "buriti dos lopes",
          "iramaia",
          "buritirama",
          "irupi",
          "buritizal",
          "iraucuba",
          "irara",
          "irape",
          "irai de minas",
          "cachoeira do campo",
          "irai",
          "iracema",
          "ipixuna do para",
          "cachoeira da prata",
          "ipigua",
          "ipe",
          "bonfinopolis de minas",
          "jaci",
          "jacigua",
          "barra de guabiraba",
          "lagoa nova",
          "bandeirantes do tocantins",
          "lagoa do ouro",
          "barao de cotegipe",
          "lagoa do carro",
          "barra",
          "barra de santa rosa",
          "baldim",
          "barra de santo antonio",
          "ladainha",
          "barra de sao miguel",
          "kalore",
          "juvenilia",
          "jussari",
          "bandeira do sul",
          "baianopolis",
          "jacinto",
          "lindoeste",
          "luisburgo",
          "arraias",
          "lucianopolis",
          "arroio do tigre",
          "lourdes",
          "aruana",
          "limeira do oeste",
          "laranjal",
          "augusto pestana",
          "aurea",
          "avelino lopes",
          "leandro ferreira",
          "lavras da mangabeira",
          "laranjal do jari",
          "juscimeira",
          "barrolandia",
          "juranda",
          "bodoquena",
          "boa vista do gurupi",
          "boca da mata",
          "jardim alegre",
          "jaraguari",
          "bocaiuva do sul",
          "bodoco",
          "bom jesus da penha",
          "jupi",
          "jandaira",
          "bom jesus da serra",
          "bom jesus das selvas",
          "jaguaruna",
          "jaguaquara",
          "bonfinopolis",
          "jatauba",
          "bias fortes",
          "jequia da praia",
          "jequitai",
          "jequitiba",
          "jeronimo monteiro",
          "bento de abreu",
          "jesupolis",
          "benevides",
          "joao camara",
          "belmonte",
          "belem do sao francisco",
          "bataypora",
          "jucurucu",
          "julio mesquita",
          "junco do serido",
          "junqueiro",
          "icarai de minas",
          "campanario",
          "luiziana",
          "dormentes",
          "engenheiro beltrao",
          "emilianopolis",
          "elisio medrado",
          "echapora",
          "durande",
          "doverlandia",
          "colmeia",
          "chaveslandia",
          "dona francisca",
          "dona euzebia",
          "colonia jordaozinho",
          "colonia leopoldina",
          "domiciano ribeiro",
          "dom vicoso",
          "engenheiro passos",
          "erval grande",
          "conceicao",
          "euclides da cunha paulista",
          "celina",
          "celso ramos",
          "feliz deserto",
          "fazenda vilanova",
          "extremoz",
          "cerro grande do sul",
          "estrela do indaia",
          "espigao",
          "chacara",
          "chale",
          "chapada do norte",
          "charrua",
          "espirito santo do turvo",
          "espigao alto do iguacu",
          "dom joaquim",
          "conceicao da feira",
          "campestre da serra",
          "cruzeiro da fortaleza",
          "cumari",
          "correntina",
          "cortes",
          "corumba de goias",
          "cubati",
          "corumbatai",
          "costa marques",
          "coronel martins",
          "cotriguacu",
          "couto de magalhaes",
          "coxilha",
          "cristopolis",
          "cristiano otoni",
          "crissiumal",
          "cumaru",
          "coronel macedo",
          "dobrada",
          "coqueiro baixo",
          "divisa alegre",
          "conde",
          "diorama",
          "dionisio",
          "congonhinhas",
          "diogo de vasconcelos",
          "corguinho",
          "damianopolis",
          "coroaci",
          "deodapolis",
          "denise",
          "coroados",
          "david canabarro",
          "dario meira",
          "ferros",
          "figueiropolis d'oeste",
          "flor da serra do sul",
          "canhotinho",
          "guarda-mor",
          "guaratinga",
          "guarara",
          "guarani das missoes",
          "guamare",
          "guaiuba",
          "caninde de sao francisco",
          "campo novo",
          "canitar",
          "grandes rios",
          "capao da porteira",
          "governador lindenberg",
          "capela de santana",
          "capetinga",
          "guariroba",
          "guidoval",
          "ceara-mirim",
          "campina do monte alegre",
          "ibirataia",
          "ibiraja",
          "ibiraiaras",
          "campestre do maranhao",
          "campina das missoes",
          "ibipitanga",
          "campo alegre de goias",
          "herval",
          "ibicare",
          "ibiassuce",
          "ibiaca",
          "ibateguara",
          "iacri",
          "hidrolina",
          "capim branco",
          "capinzal do norte",
          "goianorte",
          "castelo do piaui",
          "carnaubais",
          "francisco dumont",
          "carnaubal",
          "carolina",
          "carutapera",
          "formigueiro",
          "castro alves",
          "goiabeira",
          "catu de abrantes",
          "caturama",
          "cavalcante",
          "flores",
          "floreal",
          "florai",
          "frecheirinha",
          "frei martinho",
          "carmopolis",
          "fruta de leite",
          "carmo do rio verde",
          "carlinda",
          "caririacu",
          "cariri do tocantins",
          "carinhanha",
          "gaucha do norte",
          "gaviao peixoto",
          "careacu",
          "caraiba",
          "getulina",
          "caputira",
          "gloria do goita",
          "glorinha",
          "luiz alves",
          "crisolita",
          "luizlandia do oeste",
          "medeiros",
          "meruoca",
          "milha",
          "miraima",
          "miranorte",
          "anastacio",
          "anadia",
          "ametista do sul",
          "mogi-mirim",
          "mojui dos campos",
          "amaraji",
          "moncoes",
          "mondai",
          "lunardelli",
          "amapora",
          "montauri",
          "monte alegre",
          "alvaro de carvalho",
          "monte castelo",
          "monte formoso",
          "monte gordo",
          "alvares florence",
          "alvarenga",
          "montezuma",
          "mercedes",
          "maua da serra",
          "moreilandia",
          "anitapolis",
          "maracana",
          "maragogipe",
          "aracitaba",
          "aquiraz",
          "apuiares",
          "mariapolis",
          "mariluz",
          "marinopolis",
          "aparecida de sao manuel",
          "martinho campos",
          "martins",
          "mascote",
          "massape",
          "mata grande",
          "mata roma",
          "matelandia",
          "materlandia",
          "antonio pereira",
          "mato leitao",
          "matoes do norte",
          "matrincha",
          "antonio cardoso",
          "matutina",
          "alto rio novo",
          "morpara",
          "mar vermelho",
          "nossa senhora do o",
          "ajuricaba",
          "nova brasilandia d'oeste",
          "nova campina",
          "nova canaa",
          "nova canaa paulista",
          "aguia branca",
          "nova esperanca do sul",
          "agua santa",
          "nova itaberaba",
          "nova mamore",
          "nova olimpia",
          "agua comprida",
          "nova palma",
          "agua clara",
          "agronomica",
          "afranio",
          "acegua",
          "novo barreiro",
          "acaiaca",
          "abrantes",
          "abare",
          "abaira",
          "abaiara",
          "nossa senhora do remedio",
          "nossa senhora de caravaggio",
          "alto parana",
          "alagoinha",
          "alto paraiso",
          "alto horizonte",
          "alto garcas",
          "alto caparao",
          "alto alegre do iguacu",
          "altinho",
          "muniz freire",
          "muquem do sao francisco",
          "altaneira",
          "altamira do parana",
          "murutinga do sul",
          "alpercata",
          "alianca do tocantins",
          "narandiba",
          "alhandra",
          "nazareno",
          "nazario",
          "alfredo wagner",
          "nipoa",
          "nonoai",
          "nossa senhora da gloria",
          "alexandria",
          "nossa senhora das gracas",
          "mara rosa",
          "monnerat",
          "machacalis",
          "arembepe",
          "araguapaz",
          "aramari",
          "mandirituba",
          "mambai",
          "arapei",
          "macaparana",
          "arenapolis",
          "areia",
          "armazem",
          "araponga",
          "mairi",
          "aratuba",
          "magda",
          "arari",
          "ararica",
          "araripe",
          "macambara",
          "mae do rio",
          "arneiroz",
          "lupionopolis",
          "luz",
          "acucena",
          "sao nicolau",
          "alexandrita",
          "sao miguel do cambui",
          "trabiju",
          "caxingo",
          "vieiras",
          "caxambu do sul",
          "alfredo marcondes",
          "cotipora",
          "areial",
          "bacaxa",
          "sao patricio",
          "vila bela da santissima trindade",
          "castanheiras",
          "vicosa do ceara",
          "cassia dos coqueiros",
          "caseiros",
          "cascalho rico",
          "xexeu",
          "sao pedro da agua branca",
          "baguari",
          "alianca",
          "vicentina",
          "vicente dutra",
          "sao pedro do butia",
          "tracuateua",
          "sao miguel do anta",
          "sao pedro do iguacu",
          "cotegipe",
          "sao lourenco do piaui",
          "cezarina",
          "cerro negro",
          "avai",
          "traipu",
          "cerro grande",
          "alcantara",
          "cerrito",
          "cerejeiras",
          "centro novo do maranhao",
          "sao luiz do norte",
          "centralina",
          "trombas",
          "sao mamede",
          "central de santa helena",
          "central",
          "centenario",
          "alegrete do piaui",
          "alegria",
          "sao mateus de minas",
          "alexandra",
          "ceilandia",
          "cedro do abaete",
          "cedro",
          "sao miguel das matas",
          "sao miguel do aleixo",
          "vila flor",
          "abdon batista",
          "arraial d ajuda",
          "cha de alegria",
          "alto bela vista",
          "tocos do moji",
          "capoeiras",
          "capivari do sul",
          "capitao eneas",
          "banabuiu",
          "capitao andrade",
          "tuiuti",
          "capitao",
          "alto alegre do maranhao",
          "cravolandia",
          "capistrano",
          "alto alegre do pindare",
          "tumiritinga",
          "balsa nova",
          "bandeirantes d'oeste",
          "sao vitor",
          "capela nova",
          "capela do alto alegre",
          "venda branca",
          "tunapolis",
          "caparao",
          "banzae",
          "canudos",
          "canto do buriti",
          "cantanhede",
          "tiradentes do sul",
          "sao sebastiao do rio verde",
          "caracol",
          "baixa grande",
          "vertentes",
          "sao pedro do sul",
          "carnauba dos dantas",
          "sao francisco do humaita",
          "carnaiba do sertao",
          "sao rafael",
          "almas",
          "almino afonso",
          "almirante tamandare do sul",
          "carmolandia",
          "vespasiano correa",
          "carmesia",
          "tome-acu",
          "sao sebastiao da amoreira",
          "aratiba",
          "baixa grande do ribeiro",
          "vermelho novo",
          "sao sebastiao da serra",
          "sao sebastiao de campos",
          "aroeiras",
          "caridade",
          "vermelho",
          "treviso",
          "alpestre",
          "balbinos",
          "caraibas",
          "sao sebastiao do paraiba",
          "vila nova do sul",
          "cha grande",
          "sao goncalo do rio das pedras",
          "acajutiba",
          "coracao de maria",
          "coqueiros do sul",
          "aribice",
          "contenda",
          "sao joao do sabugi",
          "sao joao do sobrado",
          "constantina",
          "conselheiro mairinck",
          "conrado",
          "conquista d'oeste",
          "agua doce",
          "assare",
          "confins",
          "coreau",
          "vitorino",
          "agua fria de goias",
          "condeuba",
          "vitoria do jari",
          "sao joaquim do monte",
          "sao jorge",
          "sao jorge d'oeste",
          "sao jorge do ivai",
          "sao jorge do oeste",
          "conceicao do formoso",
          "conceicao do caninde",
          "corumbatai do sul",
          "cordeiros",
          "sao joao do itaperiu",
          "aurora do para",
          "agrestina",
          "adhemar de barros",
          "correntes",
          "adrianopolis",
          "corrego fundo",
          "corrego do ouro",
          "adustina",
          "corrego danta",
          "coronel sapucaia",
          "coronel pacheco",
          "coronel murta",
          "arroio trinta",
          "agisse",
          "coronel joao pessoa",
          "vitorinos",
          "wagner",
          "sao joao da parauna",
          "agrolandia",
          "sao joao da ponte",
          "sao joao da urtiga",
          "coronel freitas",
          "coronel domingos soares",
          "tres irmaos",
          "sao joao de petropolis",
          "acari",
          "tres forquilhas",
          "arvoredo",
          "agua limpa",
          "conceicao do almeida",
          "conceicao da ibitipoca",
          "sao jose do serido",
          "atilio vivacqua",
          "cipo-guacu",
          "cipo",
          "augustinopolis",
          "sao jose do piaui",
          "travesseiro",
          "sao jose do ribeirao",
          "aiuaba",
          "cidelandia",
          "arenopolis",
          "chorrocho",
          "chorozinho",
          "chiapetta",
          "sao jose da boa vista",
          "ajapi",
          "sao jose do xingu",
          "chaval",
          "alto piquiri",
          "sao jose dos cordeiros",
          "alagoa",
          "alagoa grande",
          "alagoa nova",
          "vila reis",
          "chapadao do lageado",
          "vila pereira",
          "aurilandia",
          "sao jose do inhacora",
          "sao geraldo da piedade",
          "ciriaco",
          "claraval",
          "assuncao",
          "vitoria das missoes",
          "agua nova",
          "comercinho",
          "sao jose da tapera",
          "agua preta",
          "combinado",
          "atalaia",
          "vista alegre",
          "viseu",
          "atalanta",
          "aguas claras",
          "aguas frias",
          "aguas mornas",
          "agudo",
          "coite do noia",
          "coimbra",
          "cocos",
          "sao jose do campestre",
          "cocalzinho de goias",
          "sao geraldo do baguari",
          "virginia",
          "cocais",
          "coari",
          "claro dos pocoes",
          "tecainda",
          "barao",
          "varzedo",
          "suzanapolis",
          "braunas",
          "brasopolis",
          "bataipora",
          "tururu",
          "arantina",
          "antonio goncalves",
          "sulina",
          "antonio martins",
          "brasileia",
          "terenos",
          "brasilandia",
          "unistalda",
          "turvelandia",
          "aramina",
          "sardoa",
          "arame",
          "bela vista de minas",
          "botupora",
          "botelho",
          "uniao do sul",
          "bela vista do maranhao",
          "bossoroca",
          "uniao do oeste",
          "antunes",
          "aparecida d'oeste",
          "boraceia",
          "taboquinhas",
          "bora",
          "antonina do norte",
          "brejetuba",
          "brejo",
          "brejo bonito",
          "urucania",
          "barrocas",
          "buriti do tocantins",
          "uruburetama",
          "angustura",
          "siriji",
          "buriti alegre",
          "buriti",
          "buique",
          "bugre",
          "termas de ibira",
          "anhandui",
          "terezinha",
          "brotas de macaubas",
          "uruana de minas",
          "sobralia",
          "anhembi",
          "britania",
          "solanea",
          "anhumas",
          "breves",
          "brejolandia",
          "brejoes",
          "teresina de goias",
          "brejo grande",
          "brejo dos santos",
          "brejo do cruz",
          "tabuleiro do norte",
          "boquira",
          "uniao da serra",
          "tapera",
          "benedito leite",
          "tapinas",
          "apuarema",
          "bodo",
          "ubirajara",
          "ubai",
          "tapurah",
          "aquidaba",
          "araguaia",
          "boa vista do sul",
          "taquarana",
          "aracatu",
          "boa vista do cadeado",
          "boa vista do burica",
          "araguacu",
          "boa vista das missoes",
          "boa ventura",
          "taquarucu do sul",
          "boa esperanca do iguacu",
          "biritinga",
          "bequimao",
          "bertopolis",
          "bertolinia",
          "berilo",
          "aragoiania",
          "teixeira",
          "berizal",
          "taperuaba",
          "bom jardim de goias",
          "boquim",
          "taparuba",
          "uniao",
          "tacuru",
          "sao francisco do gloria",
          "aparecida de monte alto",
          "bonito de santa fe",
          "taiacu",
          "bonito de minas",
          "bemposta",
          "araguana",
          "aparecida do rio negro",
          "umburatiba",
          "tenente ananias",
          "telha",
          "tamandare",
          "bom retiro",
          "bom jesus do sul",
          "umburanas",
          "tamboara",
          "bom jesus do querendo",
          "tangara",
          "apiacas",
          "bom jesus do araguaia",
          "bom jesus do amparo",
          "ulianopolis",
          "uirauna",
          "apora",
          "apore",
          "barro preto",
          "simplicio mendes",
          "anguera",
          "campo do tenente",
          "senador jose porfirio",
          "senador la rocque",
          "campo bonito",
          "campo azul",
          "senador salgado filho",
          "alvorada d'oeste",
          "campo alegre do fidalgo",
          "campo alegre de minas",
          "campo alegre de lourdes",
          "alvorada do gurgueia",
          "amanari",
          "senhora dos remedios",
          "sento se",
          "arara",
          "campinacu",
          "tibau do sul",
          "serio",
          "amapa do maranhao",
          "vargem grande do soturno",
          "vargem grande do rio pardo",
          "vargem grande",
          "serra azul",
          "tuparece",
          "serra bonita",
          "serra branca",
          "barra do jacare",
          "arapua",
          "campo do brito",
          "barauna",
          "serra do salitre",
          "senador cortes",
          "sarutaia",
          "candoi",
          "satiro dias",
          "tavares",
          "barao ataliba nogueira",
          "candido mendes",
          "candido godoi",
          "saubara",
          "candeias do jamari",
          "arataca",
          "candeal",
          "canapi",
          "varzea nova",
          "alto sao joao",
          "varzea do poco",
          "canaa",
          "campos verdes",
          "barao de juparana",
          "sebastiao leal",
          "varzea",
          "campo magro",
          "sede alvorada",
          "segredo",
          "selbach",
          "campo grande do piaui",
          "campo florido",
          "barao do triunfo",
          "amarante",
          "amargosa",
          "angicos",
          "vale do sol",
          "valao do barro",
          "severiano melo",
          "caetanos",
          "caem",
          "cacimbinhas",
          "anaurilandia",
          "andarai",
          "cachoeira do brumado",
          "andre da rocha",
          "silvano",
          "terra nova",
          "silvanopolis",
          "silveira carvalho",
          "silveira martins",
          "andrequice",
          "arapoema",
          "cacaulandia",
          "cabixi",
          "simao pereira",
          "angelica",
          "cabeceiras",
          "cabaceiras do paraguacu",
          "angelina",
          "angelo frechiani",
          "angical",
          "angical do piaui",
          "urucuia",
          "caetes",
          "tupassi",
          "america dourada",
          "ananas",
          "barra do rio azul",
          "serra dos dourados",
          "cambiasca",
          "cambara do sul",
          "camacho",
          "calmon",
          "vargeao",
          "caldeirao grande do piaui",
          "serranopolis de minas",
          "vanini",
          "americo de campos",
          "barra longa",
          "caldas do jorro",
          "caldas brandao",
          "calcado",
          "cajuri",
          "amontada",
          "amparo da serra",
          "barreira",
          "cajueiro",
          "cajari",
          "cajapio",
          "anage",
          "sertao santana",
          "cairu",
          "caicara do norte",
          "sete de setembro",
          "novo mundo",
          "santa salete",
          "sao francisco do brejao",
          "lidice",
          "pio xii",
          "pio ix",
          "pinto bandeira",
          "pinhotiba",
          "lindoia do sul",
          "lindolfo collor",
          "livramento",
          "loreto",
          "lucena",
          "pinhal da serra",
          "luis correia",
          "pingo-d'agua",
          "pindoretama",
          "lutecia",
          "luziapolis",
          "macambira",
          "macaubal",
          "piquerobi",
          "liberato salzano",
          "pouso novo",
          "piracema",
          "lagoinha do piaui",
          "laje do muriae",
          "lajeado grande",
          "lamarao",
          "lamim",
          "pirapo",
          "laranja da terra",
          "pirapemas",
          "lavrinhas",
          "pirambu",
          "pirajuba",
          "lebon regis",
          "lencois",
          "pirai do norte",
          "leoberto leal",
          "leopoldo de bulhoes",
          "leopolis",
          "machadinho",
          "machados",
          "macieira",
          "macuco",
          "manaira",
          "peri mirim",
          "pereiras",
          "manfrinopolis",
          "manoel urbano",
          "mansidao",
          "maquine",
          "pequizeiro",
          "pequi",
          "maranhaozinho",
          "marcelino vieira",
          "marcos parente",
          "marechal deodoro",
          "mariano moro",
          "peixe",
          "pedro velho",
          "maribondo",
          "mampituba",
          "perobal",
          "mamonas",
          "pianco",
          "macuco de minas",
          "madalena",
          "picarras",
          "picarra",
          "picada cafe",
          "mae d'agua",
          "piao",
          "piacu",
          "perola independente",
          "piacatu",
          "magalhaes de almeida",
          "maiquinique",
          "mairipotaba",
          "pescador",
          "major porto",
          "malhador",
          "piratini",
          "abadiania",
          "lagoa salgada",
          "pontes gestal",
          "porto dos gauchos",
          "porto de pedras",
          "jardim olinda",
          "jataizinho",
          "porto alegre do norte",
          "jaua",
          "porto acre",
          "jaupaci",
          "portela",
          "jenipapo de minas",
          "porteiras",
          "jequeri",
          "jerico",
          "jeriquara",
          "populina",
          "ponto novo",
          "ponto do marambaia",
          "jardim de piranhas",
          "porto estrela",
          "jardim abc de goias",
          "janduis",
          "jaguaracu",
          "jaguarembe",
          "jaguaribara",
          "jamaica",
          "jamapara",
          "jampruca",
          "jandaia",
          "japaraiba",
          "jaquirana",
          "japaratuba",
          "porto rico",
          "japi",
          "japoata",
          "porto murtinho",
          "porto lucena",
          "porto grande",
          "ponto belo",
          "jiquirica",
          "lagoa real",
          "joaima",
          "planaltino",
          "planaltina do parana",
          "lago verde",
          "lagoa",
          "lagoa d'anta",
          "lagoa da canoa",
          "lagoa de sao francisco",
          "pium",
          "pitimbu",
          "lagoa de velhos",
          "pitanga de estrada",
          "lagoa do mato",
          "pirpirituba",
          "lagoa do piaui",
          "lagoa dos patos",
          "pires ferreira",
          "lagoa dos tres cantos",
          "jussiape",
          "pocao",
          "pocao de pedras",
          "jucas",
          "ponte alta do norte",
          "pontao",
          "joao dourado",
          "joaquim pires",
          "jose boiteux",
          "jose da penha",
          "joselandia",
          "pombos",
          "poco de pedra",
          "polo petroquimico de triunfo",
          "jurema",
          "juripiranga",
          "pocoes de paineiras",
          "juru",
          "juruti",
          "poco redondo",
          "mariental",
          "pedro gomes",
          "marilac",
          "ouro",
          "nortelandia",
          "paineiras",
          "nossa senhora das dores",
          "paial",
          "padre paraiso",
          "padre gonzales",
          "padre carvalho",
          "pacuja",
          "pacotuba",
          "nossa senhora de lourdes",
          "nova america",
          "nova america da colina",
          "ouvidor",
          "nova araca",
          "ouro verde do oeste",
          "nova boa vista",
          "ouro verde de goias",
          "palhano",
          "nobres",
          "neopolis",
          "palminopolis",
          "pancas",
          "murici",
          "muritiba",
          "palmopolis",
          "murucupi",
          "palmital de minas",
          "mussurepe",
          "mutum parana",
          "palmares paulista",
          "mutunopolis",
          "nacip raydan",
          "nantes",
          "natercia",
          "palmeira d oeste",
          "natividade da serra",
          "nazare da mata",
          "nova brescia",
          "ourizona",
          "mucurici",
          "nova crixas",
          "olhos d'agua",
          "nova santa barbara",
          "nova timboteua",
          "oleo",
          "olaria",
          "oiapoque",
          "nova ubirata",
          "nova vicosa",
          "novais",
          "novo alegre",
          "novo brasil",
          "novo cabrais",
          "novo itacolomi",
          "novo jardim",
          "novo planalto",
          "novo lino",
          "novo oriente de minas",
          "nova roma do sul",
          "nova roma",
          "nova resende",
          "nova independencia",
          "nova esperanca do piria",
          "nova esperanca do sudoeste",
          "ourem",
          "osvaldo kroeff",
          "nova floresta",
          "nova guarita",
          "nova guataporanga",
          "nova ipixuna",
          "nova redencao",
          "nova lacerda",
          "orobo",
          "nova laranjeiras",
          "nova luzitania",
          "orizania",
          "nova padua",
          "onda verde",
          "muliterno",
          "mucuge",
          "marilandia do sul",
          "mirante da serra",
          "paula candido",
          "medicilandia",
          "pau brasil",
          "meridiano",
          "messias targino",
          "mimoso de goias",
          "minas do leao",
          "minduri",
          "ministro andreazza",
          "mira estrela",
          "patis",
          "miradouro",
          "miraguai",
          "miranda do norte",
          "passo de camaragibe",
          "passira",
          "passagem franca",
          "paula freitas",
          "mauriti",
          "paulino neves",
          "pedra menina",
          "marilena",
          "mariopolis",
          "marques de souza",
          "martinesia",
          "pedras altas",
          "pedrao",
          "pedranopolis",
          "pedra lavrada",
          "matriz de camaragibe",
          "pedra do indaia",
          "mata",
          "matias olimpio",
          "pavao",
          "mato rico",
          "matoes",
          "paulistania",
          "passagem",
          "passa tempo",
          "mucambo",
          "miravania",
          "monte bonito",
          "paraju",
          "monte santo",
          "monteiro lobato",
          "paraiso do sul",
          "monteiropolis",
          "paraiso das aguas",
          "montividiu do norte",
          "morro agudo de goias",
          "morro da garca",
          "morro de sao paulo",
          "morro do ferro",
          "morro do pilar",
          "morro grande",
          "morro redondo",
          "morro vermelho",
          "mossamedes",
          "monte belo do sul",
          "monte alverne",
          "monte alegre de sergipe",
          "moema",
          "missao velha",
          "parnarama",
          "missi",
          "mocajuba",
          "parisi",
          "moeda",
          "paripueira",
          "pareci novo",
          "paranapoema",
          "pardinho",
          "mombaca",
          "moncao",
          "paranhos",
          "monsenhor paulo",
          "montadas",
          "montanhas",
          "jaguapita",
          "jacuizinho",
          "cristinapolis",
          "estrela velha",
          "ewbank da camara",
          "fagundes",
          "santa maria do salto",
          "farol",
          "santa maria do herval",
          "faxinalzinho",
          "felicio dos santos",
          "felipe guerra",
          "felisburgo",
          "felixlandia",
          "santa luzia do parua",
          "santa luzia do norte",
          "feliz natal",
          "fenix",
          "santa leopoldina",
          "fernao",
          "ferreiros",
          "eugenio de castro",
          "santa quiteria do maranhao",
          "jacuipe",
          "estrela do sul",
          "engenheiro balduino",
          "engenheiro navarro",
          "entre folhas",
          "epitaciolandia",
          "erebango",
          "erere",
          "erico cardoso",
          "novo machado",
          "santa rosa do sul",
          "esmeralda",
          "santa rita do itueto",
          "estevao de araujo",
          "estiva",
          "estrela d oeste",
          "santa rita de jacutinga",
          "estrela d'oeste",
          "santa rita da floresta",
          "santa isabel do rio preto",
          "filadelfia",
          "flora rica",
          "florania",
          "santa brigida",
          "frei gaspar",
          "frei lagonegro",
          "santa barbara do para",
          "frei rogerio",
          "santa amelia",
          "frutuoso gomes",
          "gabriel monteiro",
          "galia",
          "galinhos",
          "sanga puita",
          "sandolandia",
          "galvao",
          "garruchos",
          "sambaiba",
          "salvador do sul",
          "salto grande",
          "santa cecilia do pavao",
          "santa clara d'oeste",
          "francisco santos",
          "fonseca",
          "santa filomena",
          "santa fe de minas",
          "flores de goias",
          "floresta do araguaia",
          "florida",
          "santa cruz do timbo",
          "florinia",
          "fontoura xavier",
          "francisco dantas",
          "santa cruz do piaui",
          "formosa da serra negra",
          "formosa do oeste",
          "fortaleza dos valos",
          "fortim",
          "foz do jordao",
          "fragosos",
          "embauba",
          "santana de pirapama",
          "elisiario",
          "desterro do melo",
          "curralinho",
          "sao bonifacio",
          "curvelandia",
          "sao bernardino",
          "datas",
          "sao bento abade",
          "delfim moreira",
          "sao bentinho",
          "sao benedito do sul",
          "sao benedito do rio preto",
          "demerval lobao",
          "santo inacio",
          "santo hipolito",
          "santo expedito do sul",
          "santo expedito",
          "desembargador otoni",
          "desterro",
          "sao bras",
          "curral de cima",
          "cupira",
          "crucilandia",
          "croata",
          "sao fernando",
          "crominia",
          "sao felix do coribe",
          "sao felix do araguaia",
          "sao felix de minas",
          "sao felix",
          "sao domingos do sul",
          "sao carlos do ivai",
          "cruzeiro do iguacu",
          "sao domingos do araguaia",
          "cuite velho",
          "cujubim",
          "sao desiderio",
          "sao cristovao do sul",
          "sao clemente",
          "desterro de entre rios",
          "santo antonio dos campos",
          "santana do capivari",
          "santo antonio do taua",
          "dois riachos",
          "dom cavati",
          "santo antonio",
          "dom macedo costa",
          "santo amaro das brotas",
          "dona emma",
          "dores de guanhaes",
          "douradina",
          "santana do sobrado",
          "doutor camargo",
          "doutor mauricio cardoso",
          "doutor ulysses",
          "duas barras",
          "duere",
          "santana do itarare",
          "santana do ipanema",
          "santana do deserto",
          "doce grande",
          "santo antonio das queimadas",
          "santo antonio de goias",
          "divinesia",
          "dezesseis de novembro",
          "santo antonio do rio abaixo",
          "santo antonio do planalto",
          "diamante d'oeste",
          "dias d avila",
          "santo antonio do leverger",
          "santo antonio do leste",
          "divino das laranjeiras",
          "divisa nova",
          "divino de sao lourenco",
          "santo antonio do canaa",
          "santo antonio do caiua",
          "santo antonio do aventureiro",
          "santo antonio do aracangua",
          "divinopolis de goias",
          "divinopolis do tocantins",
          "general camara",
          "general maynard",
          "salto do itarare",
          "quipapa",
          "ipiranga do sul",
          "ipueira",
          "ipuiuna",
          "ipupiara",
          "redencao do gurgueia",
          "redencao da serra",
          "ravena",
          "iretama",
          "isaias coelho",
          "itaara",
          "rancho alegre d'oeste",
          "rainha do mar",
          "itabi",
          "itabirinha",
          "itacoatiara",
          "itacurussa",
          "itagimirim",
          "remigio",
          "ipiranga do norte",
          "ipiranga de goias",
          "riacho de santo antonio",
          "independencia",
          "ribeira do amparo",
          "indiaroba",
          "ribas do rio pardo",
          "inga",
          "riachuelo",
          "ingai",
          "riacho da cruz",
          "ipecaeta",
          "inhuma",
          "inocencia",
          "retirolandia",
          "iomere",
          "ressaquinha",
          "reserva do iguacu",
          "ipaumirim",
          "itaguacu da bahia",
          "itaguari",
          "ilicinea",
          "quilometro 14 do mutum",
          "princesa isabel",
          "itatiba do sul",
          "itiquira",
          "presidente nereu",
          "itupiranga",
          "presidente lucena",
          "itutinga",
          "presidente juscelino",
          "presidente janio quadros",
          "ivora",
          "presidente castello branco",
          "jaboticatubas",
          "pratapolis",
          "jacarau",
          "pranchita",
          "praia norte",
          "jacareacanga",
          "progresso",
          "itarema",
          "prudencio thomaz",
          "quatro pontes",
          "itaicaba",
          "itaju do colonia",
          "querencia do norte",
          "queixada",
          "queiroz",
          "itanhanga",
          "itanhem",
          "itapage",
          "itaporanga d'ajuda",
          "itaparica",
          "quatituba",
          "itape",
          "puxinana",
          "purilandia",
          "pureza",
          "pugmil",
          "ribeirao cascalheira",
          "ilha grande",
          "gentio do ouro",
          "guinda",
          "rubelita",
          "groairas",
          "grupiara",
          "rosario do ivai",
          "rosario",
          "guabiju",
          "guairaca",
          "guamiranga",
          "guape",
          "guapirama",
          "romelandia",
          "guarapua",
          "guaraquecaba",
          "guassusse",
          "guatapara",
          "guia lopes da laguna",
          "riversul",
          "gramado xavier",
          "gramado dos loureiros",
          "rubineia",
          "goiandira",
          "gilbues",
          "girau do ponciano",
          "glaura",
          "salobro",
          "gloria de dourados",
          "salinas da margarida",
          "godoy moreira",
          "goncalves dias",
          "graccho cardoso",
          "gongogi",
          "sacra familia do tingua",
          "saboeiro",
          "governador dix-sept rosado",
          "governador eugenio barros",
          "sabaudia",
          "governador mangabeira",
          "guimaraes",
          "guiricema",
          "ilha dos valadares",
          "guzolandia",
          "ibiracu",
          "ibirapua",
          "ibitiara",
          "ibitioca",
          "ibitira",
          "ibitita",
          "ibitiuva",
          "icaraima",
          "icatu",
          "igapora",
          "igarape-acu",
          "rincao",
          "igarape-miri",
          "ribeiropolis",
          "ribeiro junqueira",
          "igaratinga",
          "igrapiuna",
          "ibiracatu",
          "ibipeba",
          "ibicuitinga",
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fortuna\",\"ibicoara\",\"ibimirim\",\"rio do oeste\",\"rio de contas\",\"rinopolis\",\"ribeirao do sul\",\"imaculada\",\"ipiacu\",\"imigrante\",\"inaciolandia\",\"indiana\",\"indiapora\",\"ribeira\",\"riacho dos machados\",\"inubia paulista\",\"restinga seca\",\"reserva\",\"rio maria\",\"hidreletrica tucurui\",\"herculandia\",\"rio real\",\"gaurama\",\"saloa\",\"salgado filho\",\"goianesia do para\",\"goianinha\",\"goncalves\",\"governador celso ramos\",\"sabino\",\"rubim\",\"grao mogol\",\"grao para\",\"guajara-mirim\",\"guapiara\",\"guaraciaba\",\"rodelas\",\"rodeiro\",\"ritapolis\",\"riqueza\",\"riolandia\",\"resende costa\",\"reriutaba\",\"garrafao do norte\",\"jaciara\",\"itinga\",\"itirucu\",\"ituacu\",\"itubera\",\"presidente medici\",\"ivate\",\"ivinhema\",\"jaborandi\",\"prados\",\"pouso redondo\",\"ipubi\",\"pouso alto\",\"jaguari\",\"pote\",\"janiopolis\",\"japira\",\"jaqueira\",\"jardim do serido\",\"ponte serrada\",\"joao 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vendelino\",\"sape\",\"sapeacu\",\"roncador\",\"romaria\",\"paripiranga\",\"sapopema\",\"sarapui\",\"rodolfo fernandes\",\"satuba\",\"saude\",\"santa barbara do sul\",\"santa cruz de goias\",\"paulo jacinto\",\"seberi\",\"senador amaral\",\"senador firmino\",\"senador guiomard\",\"senador modestino goncalves\",\"senhora de oliveira\",\"rodeio bonito\",\"paranatinga\",\"sericita\",\"seringueiras\",\"paranapua\",\"passa tres\",\"rubiacea\",\"reserva do cabacal\",\"salmourao\",\"sao jose dos quatro marcos\",\"sao luis do quitunde\",\"pau d'arco\",\"salto da divisa\",\"sao miguel do gostoso\",\"paudalho\",\"patrocinio paulista\",\"pimenteiras\",\"sao miguel dos campos\",\"pindai\",\"sao paulo das missoes\",\"patrocinio do muriae\",\"sao paulo do potengi\",\"sao jose do rio claro\",\"sao jose do belmonte\",\"sao jose do hortencio\",\"sao jose do goiabal\",\"sao pedro de alcantara\",\"pindoba\",\"sao pedro do turvo\",\"pato bragado\",\"sao roque de minas\",\"sao jose do divino\",\"pastos bons\",\"passos maia\",\"pindorama\",\"sao sebastiao da boa vista\",\"pindorama do tocantins\",\"roca sales\",\"serra azul de minas\",\"paulo lopes\",\"teixeira soares\",\"tabuleiro\",\"tacaratu\",\"taciba\",\"santa helena de minas\",\"tamarana\",\"rifaina\",\"tanque d'arca\",\"ribeiraozinho\",\"tapirai\",\"tapiramuta\",\"taquaracu de minas\",\"ribeirao vermelho\",\"sao joao do sul\",\"sao joao do oriente\",\"serra de sao bento\",\"ribeirao branco\",\"piau\",\"piata\",\"pedras de fogo\",\"pedregulho\",\"sao joao do manhuacu\",\"sao joao do ivai\",\"riacho das almas\",\"riachinho\",\"sao luis do curu\",\"riachao das neves\",\"santa izabel do oeste\",\"sao joao de pirabas\",\"rio das antas\",\"tabapora\",\"rio do antonio\",\"sucupira do norte\",\"serra dourada\",\"serrania\",\"pontalina\",\"serranopolis do iguacu\",\"serrita\",\"serro\",\"rio tinto\",\"sao jose da vitoria\",\"sao jose da laje\",\"pintadas\",\"parana\",\"santana da boa vista\",\"sao jose da coroa grande\",\"santa cruz de salinas\",\"santa cruz do prata\",\"sao jorge do patrocinio\",\"rio formoso\",\"santa ernestina\",\"simolandia\",\"sinimbu\",\"sitio do quinto\",\"sitio novo\",\"sitio novo do tocantins\",\"piracuruca\",\"solonopole\",\"sonora\",\"picui\",\"novo oriente do piaui\",\"zortea\",\"jaboti\",\"itamogi\",\"itapiuna\",\"itapirapua paulista\",\"itapirapua\",\"itapicuru\",\"itapetim\",\"brazabrantes\",\"itamira\",\"bras pires\",\"itambaraca\",\"itaguaru\",\"itaguara\",\"itaguaje\",\"buenos aires\",\"itagiba\",\"brasilandia de minas\",\"itaquirai\",\"itabatan\",\"itueta\",\"boninal\",\"boqueirao do leao\",\"jabora\",\"ivai\",\"iuna\",\"borrazopolis\",\"itororo\",\"itaquitinga\",\"itirapina\",\"itaueira\",\"itau\",\"botuvera\",\"itatiaiucu\",\"braco do rio\",\"itagi\",\"itabaianinha\",\"camocim de sao felix\",\"iguaracu\",\"inhauma\",\"inhapi\",\"caiua\",\"inconfidentes\",\"imbe de minas\",\"imbau\",\"iguai\",\"inimutaba\",\"igreja nova\",\"california\",\"igaci\",\"ielmo marinho\",\"ichu\",\"cambira\",\"caibate\",\"ipaporanga\",\"buriti dos lopes\",\"iramaia\",\"buritirama\",\"irupi\",\"buritizal\",\"iraucuba\",\"irara\",\"irape\",\"irai de minas\",\"cachoeira do campo\",\"irai\",\"iracema\",\"ipixuna do para\",\"cachoeira da prata\",\"ipigua\",\"ipe\",\"bonfinopolis de minas\",\"jaci\",\"jacigua\",\"barra de guabiraba\",\"lagoa nova\",\"bandeirantes do tocantins\",\"lagoa do ouro\",\"barao de cotegipe\",\"lagoa do carro\",\"barra\",\"barra de santa rosa\",\"baldim\",\"barra de santo antonio\",\"ladainha\",\"barra de sao miguel\",\"kalore\",\"juvenilia\",\"jussari\",\"bandeira do sul\",\"baianopolis\",\"jacinto\",\"lindoeste\",\"luisburgo\",\"arraias\",\"lucianopolis\",\"arroio do tigre\",\"lourdes\",\"aruana\",\"limeira do oeste\",\"laranjal\",\"augusto pestana\",\"aurea\",\"avelino lopes\",\"leandro ferreira\",\"lavras da mangabeira\",\"laranjal do jari\",\"juscimeira\",\"barrolandia\",\"juranda\",\"bodoquena\",\"boa vista do gurupi\",\"boca da mata\",\"jardim alegre\",\"jaraguari\",\"bocaiuva do sul\",\"bodoco\",\"bom jesus da penha\",\"jupi\",\"jandaira\",\"bom jesus da serra\",\"bom jesus das selvas\",\"jaguaruna\",\"jaguaquara\",\"bonfinopolis\",\"jatauba\",\"bias fortes\",\"jequia da praia\",\"jequitai\",\"jequitiba\",\"jeronimo monteiro\",\"bento de abreu\",\"jesupolis\",\"benevides\",\"joao camara\",\"belmonte\",\"belem do sao francisco\",\"bataypora\",\"jucurucu\",\"julio mesquita\",\"junco do serido\",\"junqueiro\",\"icarai de minas\",\"campanario\",\"luiziana\",\"dormentes\",\"engenheiro beltrao\",\"emilianopolis\",\"elisio medrado\",\"echapora\",\"durande\",\"doverlandia\",\"colmeia\",\"chaveslandia\",\"dona francisca\",\"dona euzebia\",\"colonia jordaozinho\",\"colonia leopoldina\",\"domiciano ribeiro\",\"dom vicoso\",\"engenheiro passos\",\"erval grande\",\"conceicao\",\"euclides da cunha paulista\",\"celina\",\"celso ramos\",\"feliz deserto\",\"fazenda vilanova\",\"extremoz\",\"cerro grande do sul\",\"estrela do indaia\",\"espigao\",\"chacara\",\"chale\",\"chapada do norte\",\"charrua\",\"espirito santo do turvo\",\"espigao alto do iguacu\",\"dom joaquim\",\"conceicao da feira\",\"campestre da serra\",\"cruzeiro da fortaleza\",\"cumari\",\"correntina\",\"cortes\",\"corumba de goias\",\"cubati\",\"corumbatai\",\"costa marques\",\"coronel martins\",\"cotriguacu\",\"couto de magalhaes\",\"coxilha\",\"cristopolis\",\"cristiano otoni\",\"crissiumal\",\"cumaru\",\"coronel macedo\",\"dobrada\",\"coqueiro baixo\",\"divisa alegre\",\"conde\",\"diorama\",\"dionisio\",\"congonhinhas\",\"diogo de vasconcelos\",\"corguinho\",\"damianopolis\",\"coroaci\",\"deodapolis\",\"denise\",\"coroados\",\"david canabarro\",\"dario meira\",\"ferros\",\"figueiropolis d'oeste\",\"flor da serra do sul\",\"canhotinho\",\"guarda-mor\",\"guaratinga\",\"guarara\",\"guarani das missoes\",\"guamare\",\"guaiuba\",\"caninde de sao francisco\",\"campo novo\",\"canitar\",\"grandes rios\",\"capao da porteira\",\"governador lindenberg\",\"capela de santana\",\"capetinga\",\"guariroba\",\"guidoval\",\"ceara-mirim\",\"campina do monte alegre\",\"ibirataia\",\"ibiraja\",\"ibiraiaras\",\"campestre do maranhao\",\"campina das missoes\",\"ibipitanga\",\"campo alegre de goias\",\"herval\",\"ibicare\",\"ibiassuce\",\"ibiaca\",\"ibateguara\",\"iacri\",\"hidrolina\",\"capim branco\",\"capinzal do norte\",\"goianorte\",\"castelo do piaui\",\"carnaubais\",\"francisco dumont\",\"carnaubal\",\"carolina\",\"carutapera\",\"formigueiro\",\"castro alves\",\"goiabeira\",\"catu de abrantes\",\"caturama\",\"cavalcante\",\"flores\",\"floreal\",\"florai\",\"frecheirinha\",\"frei martinho\",\"carmopolis\",\"fruta de leite\",\"carmo do rio verde\",\"carlinda\",\"caririacu\",\"cariri do tocantins\",\"carinhanha\",\"gaucha do norte\",\"gaviao peixoto\",\"careacu\",\"caraiba\",\"getulina\",\"caputira\",\"gloria do goita\",\"glorinha\",\"luiz alves\",\"crisolita\",\"luizlandia do oeste\",\"medeiros\",\"meruoca\",\"milha\",\"miraima\",\"miranorte\",\"anastacio\",\"anadia\",\"ametista do sul\",\"mogi-mirim\",\"mojui dos campos\",\"amaraji\",\"moncoes\",\"mondai\",\"lunardelli\",\"amapora\",\"montauri\",\"monte alegre\",\"alvaro de carvalho\",\"monte castelo\",\"monte formoso\",\"monte gordo\",\"alvares florence\",\"alvarenga\",\"montezuma\",\"mercedes\",\"maua da serra\",\"moreilandia\",\"anitapolis\",\"maracana\",\"maragogipe\",\"aracitaba\",\"aquiraz\",\"apuiares\",\"mariapolis\",\"mariluz\",\"marinopolis\",\"aparecida de sao manuel\",\"martinho campos\",\"martins\",\"mascote\",\"massape\",\"mata grande\",\"mata roma\",\"matelandia\",\"materlandia\",\"antonio pereira\",\"mato leitao\",\"matoes do norte\",\"matrincha\",\"antonio cardoso\",\"matutina\",\"alto rio novo\",\"morpara\",\"mar vermelho\",\"nossa senhora do o\",\"ajuricaba\",\"nova brasilandia d'oeste\",\"nova campina\",\"nova canaa\",\"nova canaa paulista\",\"aguia branca\",\"nova esperanca do sul\",\"agua santa\",\"nova itaberaba\",\"nova mamore\",\"nova olimpia\",\"agua comprida\",\"nova palma\",\"agua clara\",\"agronomica\",\"afranio\",\"acegua\",\"novo barreiro\",\"acaiaca\",\"abrantes\",\"abare\",\"abaira\",\"abaiara\",\"nossa senhora do remedio\",\"nossa senhora de caravaggio\",\"alto parana\",\"alagoinha\",\"alto paraiso\",\"alto horizonte\",\"alto garcas\",\"alto caparao\",\"alto alegre do iguacu\",\"altinho\",\"muniz freire\",\"muquem do sao francisco\",\"altaneira\",\"altamira do parana\",\"murutinga do sul\",\"alpercata\",\"alianca do tocantins\",\"narandiba\",\"alhandra\",\"nazareno\",\"nazario\",\"alfredo wagner\",\"nipoa\",\"nonoai\",\"nossa senhora da gloria\",\"alexandria\",\"nossa senhora das gracas\",\"mara rosa\",\"monnerat\",\"machacalis\",\"arembepe\",\"araguapaz\",\"aramari\",\"mandirituba\",\"mambai\",\"arapei\",\"macaparana\",\"arenapolis\",\"areia\",\"armazem\",\"araponga\",\"mairi\",\"aratuba\",\"magda\",\"arari\",\"ararica\",\"araripe\",\"macambara\",\"mae do rio\",\"arneiroz\",\"lupionopolis\",\"luz\",\"acucena\",\"sao nicolau\",\"alexandrita\",\"sao miguel do cambui\",\"trabiju\",\"caxingo\",\"vieiras\",\"caxambu do sul\",\"alfredo marcondes\",\"cotipora\",\"areial\",\"bacaxa\",\"sao patricio\",\"vila bela da santissima trindade\",\"castanheiras\",\"vicosa do ceara\",\"cassia dos coqueiros\",\"caseiros\",\"cascalho rico\",\"xexeu\",\"sao pedro da agua branca\",\"baguari\",\"alianca\",\"vicentina\",\"vicente dutra\",\"sao pedro do butia\",\"tracuateua\",\"sao miguel do anta\",\"sao pedro do iguacu\",\"cotegipe\",\"sao lourenco do piaui\",\"cezarina\",\"cerro negro\",\"avai\",\"traipu\",\"cerro grande\",\"alcantara\",\"cerrito\",\"cerejeiras\",\"centro novo do maranhao\",\"sao luiz do norte\",\"centralina\",\"trombas\",\"sao mamede\",\"central de santa helena\",\"central\",\"centenario\",\"alegrete do piaui\",\"alegria\",\"sao mateus de minas\",\"alexandra\",\"ceilandia\",\"cedro do abaete\",\"cedro\",\"sao miguel das matas\",\"sao miguel do aleixo\",\"vila flor\",\"abdon batista\",\"arraial d ajuda\",\"cha de alegria\",\"alto bela vista\",\"tocos do moji\",\"capoeiras\",\"capivari do sul\",\"capitao eneas\",\"banabuiu\",\"capitao andrade\",\"tuiuti\",\"capitao\",\"alto alegre do maranhao\",\"cravolandia\",\"capistrano\",\"alto alegre do pindare\",\"tumiritinga\",\"balsa nova\",\"bandeirantes d'oeste\",\"sao vitor\",\"capela nova\",\"capela do alto alegre\",\"venda branca\",\"tunapolis\",\"caparao\",\"banzae\",\"canudos\",\"canto do buriti\",\"cantanhede\",\"tiradentes do sul\",\"sao sebastiao do rio verde\",\"caracol\",\"baixa grande\",\"vertentes\",\"sao pedro do sul\",\"carnauba dos dantas\",\"sao francisco do humaita\",\"carnaiba do sertao\",\"sao rafael\",\"almas\",\"almino afonso\",\"almirante tamandare do sul\",\"carmolandia\",\"vespasiano correa\",\"carmesia\",\"tome-acu\",\"sao sebastiao da amoreira\",\"aratiba\",\"baixa grande do ribeiro\",\"vermelho novo\",\"sao sebastiao da serra\",\"sao sebastiao de campos\",\"aroeiras\",\"caridade\",\"vermelho\",\"treviso\",\"alpestre\",\"balbinos\",\"caraibas\",\"sao sebastiao do paraiba\",\"vila nova do sul\",\"cha grande\",\"sao goncalo do rio das pedras\",\"acajutiba\",\"coracao de maria\",\"coqueiros do sul\",\"aribice\",\"contenda\",\"sao joao do sabugi\",\"sao joao do sobrado\",\"constantina\",\"conselheiro mairinck\",\"conrado\",\"conquista d'oeste\",\"agua doce\",\"assare\",\"confins\",\"coreau\",\"vitorino\",\"agua fria de goias\",\"condeuba\",\"vitoria do jari\",\"sao joaquim do monte\",\"sao jorge\",\"sao jorge d'oeste\",\"sao jorge do ivai\",\"sao jorge do oeste\",\"conceicao do formoso\",\"conceicao do caninde\",\"corumbatai do sul\",\"cordeiros\",\"sao joao do itaperiu\",\"aurora do para\",\"agrestina\",\"adhemar de barros\",\"correntes\",\"adrianopolis\",\"corrego fundo\",\"corrego do ouro\",\"adustina\",\"corrego danta\",\"coronel sapucaia\",\"coronel pacheco\",\"coronel murta\",\"arroio trinta\",\"agisse\",\"coronel joao pessoa\",\"vitorinos\",\"wagner\",\"sao joao da parauna\",\"agrolandia\",\"sao joao da ponte\",\"sao joao da urtiga\",\"coronel freitas\",\"coronel domingos soares\",\"tres irmaos\",\"sao joao de petropolis\",\"acari\",\"tres forquilhas\",\"arvoredo\",\"agua limpa\",\"conceicao do almeida\",\"conceicao da ibitipoca\",\"sao jose do serido\",\"atilio vivacqua\",\"cipo-guacu\",\"cipo\",\"augustinopolis\",\"sao jose do piaui\",\"travesseiro\",\"sao jose do ribeirao\",\"aiuaba\",\"cidelandia\",\"arenopolis\",\"chorrocho\",\"chorozinho\",\"chiapetta\",\"sao jose da boa vista\",\"ajapi\",\"sao jose do xingu\",\"chaval\",\"alto piquiri\",\"sao jose dos cordeiros\",\"alagoa\",\"alagoa grande\",\"alagoa nova\",\"vila reis\",\"chapadao do lageado\",\"vila pereira\",\"aurilandia\",\"sao jose do inhacora\",\"sao geraldo da piedade\",\"ciriaco\",\"claraval\",\"assuncao\",\"vitoria das missoes\",\"agua nova\",\"comercinho\",\"sao jose da tapera\",\"agua preta\",\"combinado\",\"atalaia\",\"vista alegre\",\"viseu\",\"atalanta\",\"aguas claras\",\"aguas frias\",\"aguas mornas\",\"agudo\",\"coite do noia\",\"coimbra\",\"cocos\",\"sao jose do campestre\",\"cocalzinho de goias\",\"sao geraldo do baguari\",\"virginia\",\"cocais\",\"coari\",\"claro dos pocoes\",\"tecainda\",\"barao\",\"varzedo\",\"suzanapolis\",\"braunas\",\"brasopolis\",\"bataipora\",\"tururu\",\"arantina\",\"antonio goncalves\",\"sulina\",\"antonio martins\",\"brasileia\",\"terenos\",\"brasilandia\",\"unistalda\",\"turvelandia\",\"aramina\",\"sardoa\",\"arame\",\"bela vista de minas\",\"botupora\",\"botelho\",\"uniao do sul\",\"bela vista do maranhao\",\"bossoroca\",\"uniao do oeste\",\"antunes\",\"aparecida d'oeste\",\"boraceia\",\"taboquinhas\",\"bora\",\"antonina do norte\",\"brejetuba\",\"brejo\",\"brejo bonito\",\"urucania\",\"barrocas\",\"buriti do tocantins\",\"uruburetama\",\"angustura\",\"siriji\",\"buriti alegre\",\"buriti\",\"buique\",\"bugre\",\"termas de ibira\",\"anhandui\",\"terezinha\",\"brotas de macaubas\",\"uruana de minas\",\"sobralia\",\"anhembi\",\"britania\",\"solanea\",\"anhumas\",\"breves\",\"brejolandia\",\"brejoes\",\"teresina de goias\",\"brejo grande\",\"brejo dos santos\",\"brejo do cruz\",\"tabuleiro do norte\",\"boquira\",\"uniao da serra\",\"tapera\",\"benedito leite\",\"tapinas\",\"apuarema\",\"bodo\",\"ubirajara\",\"ubai\",\"tapurah\",\"aquidaba\",\"araguaia\",\"boa vista do sul\",\"taquarana\",\"aracatu\",\"boa vista do cadeado\",\"boa vista do burica\",\"araguacu\",\"boa vista das missoes\",\"boa ventura\",\"taquarucu do sul\",\"boa esperanca do iguacu\",\"biritinga\",\"bequimao\",\"bertopolis\",\"bertolinia\",\"berilo\",\"aragoiania\",\"teixeira\",\"berizal\",\"taperuaba\",\"bom jardim de goias\",\"boquim\",\"taparuba\",\"uniao\",\"tacuru\",\"sao francisco do gloria\",\"aparecida de monte alto\",\"bonito de santa fe\",\"taiacu\",\"bonito de minas\",\"bemposta\",\"araguana\",\"aparecida do rio negro\",\"umburatiba\",\"tenente ananias\",\"telha\",\"tamandare\",\"bom retiro\",\"bom jesus do sul\",\"umburanas\",\"tamboara\",\"bom jesus do querendo\",\"tangara\",\"apiacas\",\"bom jesus do araguaia\",\"bom jesus do amparo\",\"ulianopolis\",\"uirauna\",\"apora\",\"apore\",\"barro preto\",\"simplicio mendes\",\"anguera\",\"campo do tenente\",\"senador jose porfirio\",\"senador la rocque\",\"campo bonito\",\"campo azul\",\"senador salgado filho\",\"alvorada d'oeste\",\"campo alegre do fidalgo\",\"campo alegre de minas\",\"campo alegre de lourdes\",\"alvorada do gurgueia\",\"amanari\",\"senhora dos remedios\",\"sento se\",\"arara\",\"campinacu\",\"tibau do sul\",\"serio\",\"amapa do maranhao\",\"vargem grande do soturno\",\"vargem grande do rio pardo\",\"vargem grande\",\"serra azul\",\"tuparece\",\"serra bonita\",\"serra branca\",\"barra do jacare\",\"arapua\",\"campo do brito\",\"barauna\",\"serra do salitre\",\"senador cortes\",\"sarutaia\",\"candoi\",\"satiro dias\",\"tavares\",\"barao ataliba nogueira\",\"candido mendes\",\"candido godoi\",\"saubara\",\"candeias do jamari\",\"arataca\",\"candeal\",\"canapi\",\"varzea nova\",\"alto sao joao\",\"varzea do poco\",\"canaa\",\"campos verdes\",\"barao de juparana\",\"sebastiao leal\",\"varzea\",\"campo magro\",\"sede alvorada\",\"segredo\",\"selbach\",\"campo grande do piaui\",\"campo florido\",\"barao do triunfo\",\"amarante\",\"amargosa\",\"angicos\",\"vale do sol\",\"valao do barro\",\"severiano melo\",\"caetanos\",\"caem\",\"cacimbinhas\",\"anaurilandia\",\"andarai\",\"cachoeira do brumado\",\"andre da rocha\",\"silvano\",\"terra nova\",\"silvanopolis\",\"silveira carvalho\",\"silveira martins\",\"andrequice\",\"arapoema\",\"cacaulandia\",\"cabixi\",\"simao pereira\",\"angelica\",\"cabeceiras\",\"cabaceiras do paraguacu\",\"angelina\",\"angelo frechiani\",\"angical\",\"angical do piaui\",\"urucuia\",\"caetes\",\"tupassi\",\"america dourada\",\"ananas\",\"barra do rio azul\",\"serra dos dourados\",\"cambiasca\",\"cambara do sul\",\"camacho\",\"calmon\",\"vargeao\",\"caldeirao grande do piaui\",\"serranopolis de minas\",\"vanini\",\"americo de campos\",\"barra longa\",\"caldas do jorro\",\"caldas brandao\",\"calcado\",\"cajuri\",\"amontada\",\"amparo da serra\",\"barreira\",\"cajueiro\",\"cajari\",\"cajapio\",\"anage\",\"sertao santana\",\"cairu\",\"caicara do norte\",\"sete de setembro\",\"novo mundo\",\"santa salete\",\"sao francisco do brejao\",\"lidice\",\"pio xii\",\"pio ix\",\"pinto bandeira\",\"pinhotiba\",\"lindoia do sul\",\"lindolfo collor\",\"livramento\",\"loreto\",\"lucena\",\"pinhal da serra\",\"luis correia\",\"pingo-d'agua\",\"pindoretama\",\"lutecia\",\"luziapolis\",\"macambira\",\"macaubal\",\"piquerobi\",\"liberato salzano\",\"pouso novo\",\"piracema\",\"lagoinha do piaui\",\"laje do muriae\",\"lajeado grande\",\"lamarao\",\"lamim\",\"pirapo\",\"laranja da terra\",\"pirapemas\",\"lavrinhas\",\"pirambu\",\"pirajuba\",\"lebon regis\",\"lencois\",\"pirai do norte\",\"leoberto leal\",\"leopoldo de bulhoes\",\"leopolis\",\"machadinho\",\"machados\",\"macieira\",\"macuco\",\"manaira\",\"peri mirim\",\"pereiras\",\"manfrinopolis\",\"manoel urbano\",\"mansidao\",\"maquine\",\"pequizeiro\",\"pequi\",\"maranhaozinho\",\"marcelino vieira\",\"marcos parente\",\"marechal deodoro\",\"mariano moro\",\"peixe\",\"pedro velho\",\"maribondo\",\"mampituba\",\"perobal\",\"mamonas\",\"pianco\",\"macuco de minas\",\"madalena\",\"picarras\",\"picarra\",\"picada cafe\",\"mae d'agua\",\"piao\",\"piacu\",\"perola independente\",\"piacatu\",\"magalhaes de almeida\",\"maiquinique\",\"mairipotaba\",\"pescador\",\"major porto\",\"malhador\",\"piratini\",\"abadiania\",\"lagoa salgada\",\"pontes gestal\",\"porto dos gauchos\",\"porto de pedras\",\"jardim olinda\",\"jataizinho\",\"porto alegre do norte\",\"jaua\",\"porto acre\",\"jaupaci\",\"portela\",\"jenipapo de minas\",\"porteiras\",\"jequeri\",\"jerico\",\"jeriquara\",\"populina\",\"ponto novo\",\"ponto do marambaia\",\"jardim de piranhas\",\"porto estrela\",\"jardim abc de goias\",\"janduis\",\"jaguaracu\",\"jaguarembe\",\"jaguaribara\",\"jamaica\",\"jamapara\",\"jampruca\",\"jandaia\",\"japaraiba\",\"jaquirana\",\"japaratuba\",\"porto rico\",\"japi\",\"japoata\",\"porto murtinho\",\"porto lucena\",\"porto grande\",\"ponto belo\",\"jiquirica\",\"lagoa real\",\"joaima\",\"planaltino\",\"planaltina do parana\",\"lago verde\",\"lagoa\",\"lagoa d'anta\",\"lagoa da canoa\",\"lagoa de sao francisco\",\"pium\",\"pitimbu\",\"lagoa de velhos\",\"pitanga de estrada\",\"lagoa do mato\",\"pirpirituba\",\"lagoa do piaui\",\"lagoa dos patos\",\"pires ferreira\",\"lagoa dos tres cantos\",\"jussiape\",\"pocao\",\"pocao de pedras\",\"jucas\",\"ponte alta do norte\",\"pontao\",\"joao dourado\",\"joaquim pires\",\"jose boiteux\",\"jose da penha\",\"joselandia\",\"pombos\",\"poco de pedra\",\"polo petroquimico de triunfo\",\"jurema\",\"juripiranga\",\"pocoes de paineiras\",\"juru\",\"juruti\",\"poco redondo\",\"mariental\",\"pedro gomes\",\"marilac\",\"ouro\",\"nortelandia\",\"paineiras\",\"nossa senhora das dores\",\"paial\",\"padre paraiso\",\"padre gonzales\",\"padre carvalho\",\"pacuja\",\"pacotuba\",\"nossa senhora de lourdes\",\"nova america\",\"nova america da colina\",\"ouvidor\",\"nova araca\",\"ouro verde do oeste\",\"nova boa vista\",\"ouro verde de goias\",\"palhano\",\"nobres\",\"neopolis\",\"palminopolis\",\"pancas\",\"murici\",\"muritiba\",\"palmopolis\",\"murucupi\",\"palmital de minas\",\"mussurepe\",\"mutum parana\",\"palmares paulista\",\"mutunopolis\",\"nacip raydan\",\"nantes\",\"natercia\",\"palmeira d oeste\",\"natividade da serra\",\"nazare da mata\",\"nova brescia\",\"ourizona\",\"mucurici\",\"nova crixas\",\"olhos d'agua\",\"nova santa barbara\",\"nova timboteua\",\"oleo\",\"olaria\",\"oiapoque\",\"nova ubirata\",\"nova vicosa\",\"novais\",\"novo alegre\",\"novo brasil\",\"novo cabrais\",\"novo itacolomi\",\"novo jardim\",\"novo planalto\",\"novo lino\",\"novo oriente de minas\",\"nova roma do sul\",\"nova roma\",\"nova resende\",\"nova independencia\",\"nova esperanca do piria\",\"nova esperanca do sudoeste\",\"ourem\",\"osvaldo kroeff\",\"nova floresta\",\"nova guarita\",\"nova guataporanga\",\"nova ipixuna\",\"nova redencao\",\"nova lacerda\",\"orobo\",\"nova laranjeiras\",\"nova luzitania\",\"orizania\",\"nova padua\",\"onda verde\",\"muliterno\",\"mucuge\",\"marilandia do sul\",\"mirante da serra\",\"paula candido\",\"medicilandia\",\"pau brasil\",\"meridiano\",\"messias targino\",\"mimoso de goias\",\"minas do leao\",\"minduri\",\"ministro andreazza\",\"mira estrela\",\"patis\",\"miradouro\",\"miraguai\",\"miranda do norte\",\"passo de camaragibe\",\"passira\",\"passagem franca\",\"paula freitas\",\"mauriti\",\"paulino neves\",\"pedra menina\",\"marilena\",\"mariopolis\",\"marques de souza\",\"martinesia\",\"pedras altas\",\"pedrao\",\"pedranopolis\",\"pedra lavrada\",\"matriz de camaragibe\",\"pedra do indaia\",\"mata\",\"matias olimpio\",\"pavao\",\"mato rico\",\"matoes\",\"paulistania\",\"passagem\",\"passa tempo\",\"mucambo\",\"miravania\",\"monte bonito\",\"paraju\",\"monte santo\",\"monteiro lobato\",\"paraiso do sul\",\"monteiropolis\",\"paraiso das aguas\",\"montividiu do norte\",\"morro agudo de goias\",\"morro da garca\",\"morro de sao paulo\",\"morro do ferro\",\"morro do pilar\",\"morro grande\",\"morro redondo\",\"morro vermelho\",\"mossamedes\",\"monte belo do sul\",\"monte alverne\",\"monte alegre de sergipe\",\"moema\",\"missao velha\",\"parnarama\",\"missi\",\"mocajuba\",\"parisi\",\"moeda\",\"paripueira\",\"pareci novo\",\"paranapoema\",\"pardinho\",\"mombaca\",\"moncao\",\"paranhos\",\"monsenhor paulo\",\"montadas\",\"montanhas\",\"jaguapita\",\"jacuizinho\",\"cristinapolis\",\"estrela velha\",\"ewbank da camara\",\"fagundes\",\"santa maria do salto\",\"farol\",\"santa maria do herval\",\"faxinalzinho\",\"felicio dos santos\",\"felipe guerra\",\"felisburgo\",\"felixlandia\",\"santa luzia do parua\",\"santa luzia do norte\",\"feliz natal\",\"fenix\",\"santa leopoldina\",\"fernao\",\"ferreiros\",\"eugenio de castro\",\"santa quiteria do maranhao\",\"jacuipe\",\"estrela do sul\",\"engenheiro balduino\",\"engenheiro navarro\",\"entre folhas\",\"epitaciolandia\",\"erebango\",\"erere\",\"erico cardoso\",\"novo machado\",\"santa rosa do sul\",\"esmeralda\",\"santa rita do itueto\",\"estevao de araujo\",\"estiva\",\"estrela d oeste\",\"santa rita de jacutinga\",\"estrela d'oeste\",\"santa rita da floresta\",\"santa isabel do rio preto\",\"filadelfia\",\"flora rica\",\"florania\",\"santa brigida\",\"frei gaspar\",\"frei lagonegro\",\"santa barbara do para\",\"frei rogerio\",\"santa amelia\",\"frutuoso gomes\",\"gabriel monteiro\",\"galia\",\"galinhos\",\"sanga puita\",\"sandolandia\",\"galvao\",\"garruchos\",\"sambaiba\",\"salvador do sul\",\"salto grande\",\"santa cecilia do pavao\",\"santa clara d'oeste\",\"francisco santos\",\"fonseca\",\"santa filomena\",\"santa fe de minas\",\"flores de goias\",\"floresta do araguaia\",\"florida\",\"santa cruz do timbo\",\"florinia\",\"fontoura xavier\",\"francisco dantas\",\"santa cruz do piaui\",\"formosa da serra negra\",\"formosa do oeste\",\"fortaleza dos valos\",\"fortim\",\"foz do jordao\",\"fragosos\",\"embauba\",\"santana de pirapama\",\"elisiario\",\"desterro do melo\",\"curralinho\",\"sao bonifacio\",\"curvelandia\",\"sao bernardino\",\"datas\",\"sao bento abade\",\"delfim moreira\",\"sao bentinho\",\"sao benedito do sul\",\"sao benedito do rio preto\",\"demerval lobao\",\"santo inacio\",\"santo hipolito\",\"santo expedito do sul\",\"santo expedito\",\"desembargador otoni\",\"desterro\",\"sao bras\",\"curral de cima\",\"cupira\",\"crucilandia\",\"croata\",\"sao fernando\",\"crominia\",\"sao felix do coribe\",\"sao felix do araguaia\",\"sao felix de minas\",\"sao felix\",\"sao domingos do sul\",\"sao carlos do ivai\",\"cruzeiro do iguacu\",\"sao domingos do araguaia\",\"cuite velho\",\"cujubim\",\"sao desiderio\",\"sao cristovao do sul\",\"sao clemente\",\"desterro de entre rios\",\"santo antonio dos campos\",\"santana do capivari\",\"santo antonio do taua\",\"dois riachos\",\"dom cavati\",\"santo antonio\",\"dom macedo costa\",\"santo amaro das brotas\",\"dona emma\",\"dores de guanhaes\",\"douradina\",\"santana do sobrado\",\"doutor camargo\",\"doutor mauricio cardoso\",\"doutor ulysses\",\"duas barras\",\"duere\",\"santana do itarare\",\"santana do ipanema\",\"santana do deserto\",\"doce grande\",\"santo antonio das queimadas\",\"santo antonio de goias\",\"divinesia\",\"dezesseis de novembro\",\"santo antonio do rio abaixo\",\"santo antonio do planalto\",\"diamante d'oeste\",\"dias d avila\",\"santo antonio do leverger\",\"santo antonio do leste\",\"divino das laranjeiras\",\"divisa nova\",\"divino de sao lourenco\",\"santo antonio do canaa\",\"santo antonio do caiua\",\"santo antonio do aventureiro\",\"santo antonio do aracangua\",\"divinopolis de goias\",\"divinopolis do tocantins\",\"general camara\",\"general maynard\",\"salto do itarare\",\"quipapa\",\"ipiranga do sul\",\"ipueira\",\"ipuiuna\",\"ipupiara\",\"redencao do gurgueia\",\"redencao da serra\",\"ravena\",\"iretama\",\"isaias coelho\",\"itaara\",\"rancho alegre d'oeste\",\"rainha do mar\",\"itabi\",\"itabirinha\",\"itacoatiara\",\"itacurussa\",\"itagimirim\",\"remigio\",\"ipiranga do norte\",\"ipiranga de goias\",\"riacho de santo antonio\",\"independencia\",\"ribeira do amparo\",\"indiaroba\",\"ribas do rio pardo\",\"inga\",\"riachuelo\",\"ingai\",\"riacho da cruz\",\"ipecaeta\",\"inhuma\",\"inocencia\",\"retirolandia\",\"iomere\",\"ressaquinha\",\"reserva do iguacu\",\"ipaumirim\",\"itaguacu da bahia\",\"itaguari\",\"ilicinea\",\"quilometro 14 do mutum\",\"princesa isabel\",\"itatiba do sul\",\"itiquira\",\"presidente nereu\",\"itupiranga\",\"presidente lucena\",\"itutinga\",\"presidente juscelino\",\"presidente janio quadros\",\"ivora\",\"presidente castello branco\",\"jaboticatubas\",\"pratapolis\",\"jacarau\",\"pranchita\",\"praia norte\",\"jacareacanga\",\"progresso\",\"itarema\",\"prudencio thomaz\",\"quatro pontes\",\"itaicaba\",\"itaju do colonia\",\"querencia do norte\",\"queixada\",\"queiroz\",\"itanhanga\",\"itanhem\",\"itapage\",\"itaporanga d'ajuda\",\"itaparica\",\"quatituba\",\"itape\",\"puxinana\",\"purilandia\",\"pureza\",\"pugmil\",\"ribeirao cascalheira\",\"ilha grande\",\"gentio do ouro\",\"guinda\",\"rubelita\",\"groairas\",\"grupiara\",\"rosario do 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     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "customers_location.iplot(kind='bar',theme='white') #절대빈도로 나타냄 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "id": "ea08041d",
   "metadata": {},
   "outputs": [],
   "source": [
    "customers_location_top20=customers_location.head(20)"
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   ],
   "source": [
    "customers_location_top20.iplot(kind='bar',theme='white')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "id": "7516447d",
   "metadata": {},
   "outputs": [],
   "source": [
    "top20_customer_locations=customers_location_top20.index"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "id": "1fb9bf23",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "TOP 1 : sao paulo\n",
      "TOP 2 : rio de janeiro\n",
      "TOP 3 : belo horizonte\n",
      "TOP 4 : brasilia\n",
      "TOP 5 : curitiba\n",
      "TOP 6 : campinas\n",
      "TOP 7 : porto alegre\n",
      "TOP 8 : salvador\n",
      "TOP 9 : guarulhos\n",
      "TOP 10 : sao bernardo do campo\n",
      "TOP 11 : niteroi\n",
      "TOP 12 : santo andre\n",
      "TOP 13 : osasco\n",
      "TOP 14 : santos\n",
      "TOP 15 : goiania\n",
      "TOP 16 : sao jose dos campos\n",
      "TOP 17 : fortaleza\n",
      "TOP 18 : sorocaba\n",
      "TOP 19 : recife\n",
      "TOP 20 : florianopolis\n"
     ]
    }
   ],
   "source": [
    "for index, location in enumerate(list(top20_customer_locations)):\n",
    "    print(\"TOP\",index+1,\":\",location)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "id": "ff792545",
   "metadata": {},
   "outputs": [
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       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>payment_sequential</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>payment_installments</th>\n",
       "      <th>payment_value</th>\n",
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       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>8</td>\n",
       "      <td>99.33</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
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       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>1</td>\n",
       "      <td>24.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>25e8ea4e93396b6fa0d3dd708e76c1bd</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>1</td>\n",
       "      <td>65.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ba78997921bbcdc1373bb41e913ab953</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>8</td>\n",
       "      <td>107.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>42fdf880ba16b47b59251dd489d4441a</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>2</td>\n",
       "      <td>128.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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       "                           order_id  payment_sequential payment_type  \\\n",
       "0  b81ef226f3fe1789b1e8b2acac839d17                   1  credit_card   \n",
       "1  a9810da82917af2d9aefd1278f1dcfa0                   1  credit_card   \n",
       "2  25e8ea4e93396b6fa0d3dd708e76c1bd                   1  credit_card   \n",
       "3  ba78997921bbcdc1373bb41e913ab953                   1  credit_card   \n",
       "4  42fdf880ba16b47b59251dd489d4441a                   1  credit_card   \n",
       "\n",
       "   payment_installments  payment_value  \n",
       "0                     8          99.33  \n",
       "1                     1          24.39  \n",
       "2                     1          65.71  \n",
       "3                     8         107.78  \n",
       "4                     2         128.45  "
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "payments.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "c46496fa",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "order_id                0\n",
       "payment_sequential      0\n",
       "payment_type            0\n",
       "payment_installments    0\n",
       "payment_value           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 63,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 없는 데이터 확인하기 \n",
    "payments.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "4e400a4c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['credit_card', 'boleto', 'voucher', 'debit_card', 'not_defined'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#unique한 값 확인\n",
    "payments['payment_type'].unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "7ae12f71",
   "metadata": {},
   "outputs": [],
   "source": [
    "#특정값 가진 행 삭제 \n",
    "payments=payments[payments['payment_type']!='not_defined']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "id": "8fd38217",
   "metadata": {},
   "outputs": [],
   "source": [
    "payment_type_count=payments.groupby('payment_type')['order_id'].nunique().sort_values(ascending=False)"
   ]
  },
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   "source": [
    "payment_type_count.iplot(kind='bar',theme='white')"
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  {
   "cell_type": "markdown",
   "id": "bc254a0c",
   "metadata": {},
   "source": [
    "## 1. 평균 거래액? \n",
    "월별 평균 거래액 분석"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "id": "372c88da",
   "metadata": {},
   "outputs": [
    {
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       "\n",
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>customer_id</th>\n",
       "      <th>order_status</th>\n",
       "      <th>order_purchase_timestamp</th>\n",
       "      <th>order_approved_at</th>\n",
       "      <th>order_delivered_carrier_date</th>\n",
       "      <th>order_delivered_customer_date</th>\n",
       "      <th>order_estimated_delivery_date</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>e481f51cbdc54678b7cc49136f2d6af7</td>\n",
       "      <td>9ef432eb6251297304e76186b10a928d</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2017-10-02 10:56:33</td>\n",
       "      <td>2017-10-02 11:07:15</td>\n",
       "      <td>2017-10-04 19:55:00</td>\n",
       "      <td>2017-10-10 21:25:13</td>\n",
       "      <td>2017-10-18 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>53cdb2fc8bc7dce0b6741e2150273451</td>\n",
       "      <td>b0830fb4747a6c6d20dea0b8c802d7ef</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2018-07-24 20:41:37</td>\n",
       "      <td>2018-07-26 03:24:27</td>\n",
       "      <td>2018-07-26 14:31:00</td>\n",
       "      <td>2018-08-07 15:27:45</td>\n",
       "      <td>2018-08-13 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>47770eb9100c2d0c44946d9cf07ec65d</td>\n",
       "      <td>41ce2a54c0b03bf3443c3d931a367089</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2018-08-08 08:38:49</td>\n",
       "      <td>2018-08-08 08:55:23</td>\n",
       "      <td>2018-08-08 13:50:00</td>\n",
       "      <td>2018-08-17 18:06:29</td>\n",
       "      <td>2018-09-04 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>949d5b44dbf5de918fe9c16f97b45f8a</td>\n",
       "      <td>f88197465ea7920adcdbec7375364d82</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2017-11-18 19:28:06</td>\n",
       "      <td>2017-11-18 19:45:59</td>\n",
       "      <td>2017-11-22 13:39:59</td>\n",
       "      <td>2017-12-02 00:28:42</td>\n",
       "      <td>2017-12-15 00:00:00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ad21c59c0840e6cb83a9ceb5573f8159</td>\n",
       "      <td>8ab97904e6daea8866dbdbc4fb7aad2c</td>\n",
       "      <td>delivered</td>\n",
       "      <td>2018-02-13 21:18:39</td>\n",
       "      <td>2018-02-13 22:20:29</td>\n",
       "      <td>2018-02-14 19:46:34</td>\n",
       "      <td>2018-02-16 18:17:02</td>\n",
       "      <td>2018-02-26 00:00:00</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      "text/plain": [
       "                           order_id                       customer_id  \\\n",
       "0  e481f51cbdc54678b7cc49136f2d6af7  9ef432eb6251297304e76186b10a928d   \n",
       "1  53cdb2fc8bc7dce0b6741e2150273451  b0830fb4747a6c6d20dea0b8c802d7ef   \n",
       "2  47770eb9100c2d0c44946d9cf07ec65d  41ce2a54c0b03bf3443c3d931a367089   \n",
       "3  949d5b44dbf5de918fe9c16f97b45f8a  f88197465ea7920adcdbec7375364d82   \n",
       "4  ad21c59c0840e6cb83a9ceb5573f8159  8ab97904e6daea8866dbdbc4fb7aad2c   \n",
       "\n",
       "  order_status order_purchase_timestamp    order_approved_at  \\\n",
       "0    delivered      2017-10-02 10:56:33  2017-10-02 11:07:15   \n",
       "1    delivered      2018-07-24 20:41:37  2018-07-26 03:24:27   \n",
       "2    delivered      2018-08-08 08:38:49  2018-08-08 08:55:23   \n",
       "3    delivered      2017-11-18 19:28:06  2017-11-18 19:45:59   \n",
       "4    delivered      2018-02-13 21:18:39  2018-02-13 22:20:29   \n",
       "\n",
       "  order_delivered_carrier_date order_delivered_customer_date  \\\n",
       "0          2017-10-04 19:55:00           2017-10-10 21:25:13   \n",
       "1          2018-07-26 14:31:00           2018-08-07 15:27:45   \n",
       "2          2018-08-08 13:50:00           2018-08-17 18:06:29   \n",
       "3          2017-11-22 13:39:59           2017-12-02 00:28:42   \n",
       "4          2018-02-14 19:46:34           2018-02-16 18:17:02   \n",
       "\n",
       "  order_estimated_delivery_date  \n",
       "0           2017-10-18 00:00:00  \n",
       "1           2018-08-13 00:00:00  \n",
       "2           2018-09-04 00:00:00  \n",
       "3           2017-12-15 00:00:00  \n",
       "4           2018-02-26 00:00:00  "
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "orders.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "f2bf73fc",
   "metadata": {},
   "outputs": [
    {
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       "      <th>order_id</th>\n",
       "      <th>order_item_id</th>\n",
       "      <th>product_id</th>\n",
       "      <th>seller_id</th>\n",
       "      <th>shipping_limit_date</th>\n",
       "      <th>price</th>\n",
       "      <th>freight_value</th>\n",
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       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>00010242fe8c5a6d1ba2dd792cb16214</td>\n",
       "      <td>1</td>\n",
       "      <td>4244733e06e7ecb4970a6e2683c13e61</td>\n",
       "      <td>48436dade18ac8b2bce089ec2a041202</td>\n",
       "      <td>2017-09-19 09:45:35</td>\n",
       "      <td>58.90</td>\n",
       "      <td>13.29</td>\n",
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       "      <th>1</th>\n",
       "      <td>00018f77f2f0320c557190d7a144bdd3</td>\n",
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       "      <td>dd7ddc04e1b6c2c614352b383efe2d36</td>\n",
       "      <td>2017-05-03 11:05:13</td>\n",
       "      <td>239.90</td>\n",
       "      <td>19.93</td>\n",
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       "    <tr>\n",
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       "      <td>5b51032eddd242adc84c38acab88f23d</td>\n",
       "      <td>2018-01-18 14:48:30</td>\n",
       "      <td>199.00</td>\n",
       "      <td>17.87</td>\n",
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       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>00024acbcdf0a6daa1e931b038114c75</td>\n",
       "      <td>1</td>\n",
       "      <td>7634da152a4610f1595efa32f14722fc</td>\n",
       "      <td>9d7a1d34a5052409006425275ba1c2b4</td>\n",
       "      <td>2018-08-15 10:10:18</td>\n",
       "      <td>12.99</td>\n",
       "      <td>12.79</td>\n",
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       "      <th>4</th>\n",
       "      <td>00042b26cf59d7ce69dfabb4e55b4fd9</td>\n",
       "      <td>1</td>\n",
       "      <td>ac6c3623068f30de03045865e4e10089</td>\n",
       "      <td>df560393f3a51e74553ab94004ba5c87</td>\n",
       "      <td>2017-02-13 13:57:51</td>\n",
       "      <td>199.90</td>\n",
       "      <td>18.14</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           order_id  order_item_id  \\\n",
       "0  00010242fe8c5a6d1ba2dd792cb16214              1   \n",
       "1  00018f77f2f0320c557190d7a144bdd3              1   \n",
       "2  000229ec398224ef6ca0657da4fc703e              1   \n",
       "3  00024acbcdf0a6daa1e931b038114c75              1   \n",
       "4  00042b26cf59d7ce69dfabb4e55b4fd9              1   \n",
       "\n",
       "                         product_id                         seller_id  \\\n",
       "0  4244733e06e7ecb4970a6e2683c13e61  48436dade18ac8b2bce089ec2a041202   \n",
       "1  e5f2d52b802189ee658865ca93d83a8f  dd7ddc04e1b6c2c614352b383efe2d36   \n",
       "2  c777355d18b72b67abbeef9df44fd0fd  5b51032eddd242adc84c38acab88f23d   \n",
       "3  7634da152a4610f1595efa32f14722fc  9d7a1d34a5052409006425275ba1c2b4   \n",
       "4  ac6c3623068f30de03045865e4e10089  df560393f3a51e74553ab94004ba5c87   \n",
       "\n",
       "   shipping_limit_date   price  freight_value  \n",
       "0  2017-09-19 09:45:35   58.90          13.29  \n",
       "1  2017-05-03 11:05:13  239.90          19.93  \n",
       "2  2018-01-18 14:48:30  199.00          17.87  \n",
       "3  2018-08-15 10:10:18   12.99          12.79  \n",
       "4  2017-02-13 13:57:51  199.90          18.14  "
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "order_items.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "3fd0a8dd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>payment_sequential</th>\n",
       "      <th>payment_type</th>\n",
       "      <th>payment_installments</th>\n",
       "      <th>payment_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>b81ef226f3fe1789b1e8b2acac839d17</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>8</td>\n",
       "      <td>99.33</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>a9810da82917af2d9aefd1278f1dcfa0</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>1</td>\n",
       "      <td>24.39</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>25e8ea4e93396b6fa0d3dd708e76c1bd</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>1</td>\n",
       "      <td>65.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>ba78997921bbcdc1373bb41e913ab953</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>8</td>\n",
       "      <td>107.78</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>42fdf880ba16b47b59251dd489d4441a</td>\n",
       "      <td>1</td>\n",
       "      <td>credit_card</td>\n",
       "      <td>2</td>\n",
       "      <td>128.45</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                           order_id  payment_sequential payment_type  \\\n",
       "0  b81ef226f3fe1789b1e8b2acac839d17                   1  credit_card   \n",
       "1  a9810da82917af2d9aefd1278f1dcfa0                   1  credit_card   \n",
       "2  25e8ea4e93396b6fa0d3dd708e76c1bd                   1  credit_card   \n",
       "3  ba78997921bbcdc1373bb41e913ab953                   1  credit_card   \n",
       "4  42fdf880ba16b47b59251dd489d4441a                   1  credit_card   \n",
       "\n",
       "   payment_installments  payment_value  \n",
       "0                     8          99.33  \n",
       "1                     1          24.39  \n",
       "2                     1          65.71  \n",
       "3                     8         107.78  \n",
       "4                     2         128.45  "
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "payments.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "7681f3d9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "order_id                            0\n",
       "customer_id                         0\n",
       "order_status                        0\n",
       "order_purchase_timestamp            0\n",
       "order_approved_at                 160\n",
       "order_delivered_carrier_date     1783\n",
       "order_delivered_customer_date    2965\n",
       "order_estimated_delivery_date       0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 71,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#없는 데이터 확인\n",
    "orders.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "e3c7cba1",
   "metadata": {},
   "outputs": [],
   "source": [
    "# 없는 데이터 삭제 \n",
    "orders=orders.dropna()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "874f7a9f",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 96461 entries, 0 to 99440\n",
      "Data columns (total 8 columns):\n",
      " #   Column                         Non-Null Count  Dtype \n",
      "---  ------                         --------------  ----- \n",
      " 0   order_id                       96461 non-null  object\n",
      " 1   customer_id                    96461 non-null  object\n",
      " 2   order_status                   96461 non-null  object\n",
      " 3   order_purchase_timestamp       96461 non-null  object\n",
      " 4   order_approved_at              96461 non-null  object\n",
      " 5   order_delivered_carrier_date   96461 non-null  object\n",
      " 6   order_delivered_customer_date  96461 non-null  object\n",
      " 7   order_estimated_delivery_date  96461 non-null  object\n",
      "dtypes: object(8)\n",
      "memory usage: 6.6+ MB\n"
     ]
    }
   ],
   "source": [
    "orders.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "id": "be49d556",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "order_id                0\n",
       "payment_sequential      0\n",
       "payment_type            0\n",
       "payment_installments    0\n",
       "payment_value           0\n",
       "dtype: int64"
      ]
     },
     "execution_count": 74,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# payments는 없는 데이터가 없는 상태 \n",
    "payments.isnull().sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "id": "beb77c70",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 103883 entries, 0 to 103885\n",
      "Data columns (total 5 columns):\n",
      " #   Column                Non-Null Count   Dtype  \n",
      "---  ------                --------------   -----  \n",
      " 0   order_id              103883 non-null  object \n",
      " 1   payment_sequential    103883 non-null  int64  \n",
      " 2   payment_type          103883 non-null  object \n",
      " 3   payment_installments  103883 non-null  int64  \n",
      " 4   payment_value         103883 non-null  float64\n",
      "dtypes: float64(1), int64(2), object(2)\n",
      "memory usage: 4.8+ MB\n"
     ]
    }
   ],
   "source": [
    "# orders와 payments 사이즈 비교 \n",
    "payments.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "id": "5cd7d43c",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 96461 entries, 0 to 99440\n",
      "Data columns (total 8 columns):\n",
      " #   Column                         Non-Null Count  Dtype \n",
      "---  ------                         --------------  ----- \n",
      " 0   order_id                       96461 non-null  object\n",
      " 1   customer_id                    96461 non-null  object\n",
      " 2   order_status                   96461 non-null  object\n",
      " 3   order_purchase_timestamp       96461 non-null  object\n",
      " 4   order_approved_at              96461 non-null  object\n",
      " 5   order_delivered_carrier_date   96461 non-null  object\n",
      " 6   order_delivered_customer_date  96461 non-null  object\n",
      " 7   order_estimated_delivery_date  96461 non-null  object\n",
      "dtypes: object(8)\n",
      "memory usage: 6.6+ MB\n"
     ]
    }
   ],
   "source": [
    "orders.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "id": "3c979f3c",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# order_id 중복된 데이터가 있는지 확인 \n",
    "orders['order_id'].value_counts().max() #없음 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "id": "c2557d0a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "29"
      ]
     },
     "execution_count": 78,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "payments['order_id'].value_counts().max() #있음 "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 79,
   "id": "33e1acfd",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "fa65dad1b0e818e3ccc5cb0e39231352    29\n",
       "ccf804e764ed5650cd8759557269dc13    26\n",
       "285c2e15bebd4ac83635ccc563dc71f4    22\n",
       "895ab968e7bb0d5659d16cd74cd1650c    21\n",
       "fedcd9f7ccdc8cba3a18defedd1a5547    19\n",
       "                                    ..\n",
       "ae922ba97feaac137766d9d00cc1ec0c     1\n",
       "d1ee4bc3ffe8a30f23ecc003e76f958f     1\n",
       "d24cf30658f279bb1e8677169e43e44a     1\n",
       "a68acca6a9d961ca300028f7660afae0     1\n",
       "d5aa77f5eed8acdd598a687ccc27cfa8     1\n",
       "Name: order_id, Length: 99437, dtype: int64"
      ]
     },
     "execution_count": 79,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "payments['order_id'].value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "id": "460414e1",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <td>11</td>\n",
       "      <td>voucher</td>\n",
       "      <td>1</td>\n",
       "      <td>4.03</td>\n",
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       "    <tr>\n",
       "      <th>36822</th>\n",
       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>14</td>\n",
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       "      <td>15</td>\n",
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       "      <td>14.04</td>\n",
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       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>3</td>\n",
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       "      <td>8</td>\n",
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       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>19</td>\n",
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       "      <td>5.02</td>\n",
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       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>13</td>\n",
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       "      <td>0.00</td>\n",
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       "    <tr>\n",
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       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>16</td>\n",
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       "      <td>1</td>\n",
       "      <td>12.86</td>\n",
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       "    <tr>\n",
       "      <th>79587</th>\n",
       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>26</td>\n",
       "      <td>voucher</td>\n",
       "      <td>1</td>\n",
       "      <td>28.27</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>79670</th>\n",
       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>17</td>\n",
       "      <td>voucher</td>\n",
       "      <td>1</td>\n",
       "      <td>3.72</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>80321</th>\n",
       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>18</td>\n",
       "      <td>voucher</td>\n",
       "      <td>1</td>\n",
       "      <td>0.73</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>82593</th>\n",
       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>7</td>\n",
       "      <td>voucher</td>\n",
       "      <td>1</td>\n",
       "      <td>0.32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>85166</th>\n",
       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>23</td>\n",
       "      <td>voucher</td>\n",
       "      <td>1</td>\n",
       "      <td>18.86</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>93337</th>\n",
       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>20</td>\n",
       "      <td>voucher</td>\n",
       "      <td>1</td>\n",
       "      <td>150.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>99213</th>\n",
       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>24</td>\n",
       "      <td>voucher</td>\n",
       "      <td>1</td>\n",
       "      <td>0.42</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>100606</th>\n",
       "      <td>fa65dad1b0e818e3ccc5cb0e39231352</td>\n",
       "      <td>22</td>\n",
       "      <td>voucher</td>\n",
       "      <td>1</td>\n",
       "      <td>4.03</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                order_id  payment_sequential payment_type  \\\n",
       "4885    fa65dad1b0e818e3ccc5cb0e39231352                  27      voucher   \n",
       "9985    fa65dad1b0e818e3ccc5cb0e39231352                   4      voucher   \n",
       "14321   fa65dad1b0e818e3ccc5cb0e39231352                   1      voucher   \n",
       "17274   fa65dad1b0e818e3ccc5cb0e39231352                   9      voucher   \n",
       "19565   fa65dad1b0e818e3ccc5cb0e39231352                  10      voucher   \n",
       "23074   fa65dad1b0e818e3ccc5cb0e39231352                   2      voucher   \n",
       "24879   fa65dad1b0e818e3ccc5cb0e39231352                  25      voucher   \n",
       "28330   fa65dad1b0e818e3ccc5cb0e39231352                   5      voucher   \n",
       "29648   fa65dad1b0e818e3ccc5cb0e39231352                   6      voucher   \n",
       "32519   fa65dad1b0e818e3ccc5cb0e39231352                  11      voucher   \n",
       "36822   fa65dad1b0e818e3ccc5cb0e39231352                  14      voucher   \n",
       "39108   fa65dad1b0e818e3ccc5cb0e39231352                  29      voucher   \n",
       "39111   fa65dad1b0e818e3ccc5cb0e39231352                  28      voucher   \n",
       "63369   fa65dad1b0e818e3ccc5cb0e39231352                  15      voucher   \n",
       "65641   fa65dad1b0e818e3ccc5cb0e39231352                   3      voucher   \n",
       "68853   fa65dad1b0e818e3ccc5cb0e39231352                   8      voucher   \n",
       "73537   fa65dad1b0e818e3ccc5cb0e39231352                  12      voucher   \n",
       "74239   fa65dad1b0e818e3ccc5cb0e39231352                  21      voucher   \n",
       "74721   fa65dad1b0e818e3ccc5cb0e39231352                  19      voucher   \n",
       "77885   fa65dad1b0e818e3ccc5cb0e39231352                  13      voucher   \n",
       "78050   fa65dad1b0e818e3ccc5cb0e39231352                  16      voucher   \n",
       "79587   fa65dad1b0e818e3ccc5cb0e39231352                  26      voucher   \n",
       "79670   fa65dad1b0e818e3ccc5cb0e39231352                  17      voucher   \n",
       "80321   fa65dad1b0e818e3ccc5cb0e39231352                  18      voucher   \n",
       "82593   fa65dad1b0e818e3ccc5cb0e39231352                   7      voucher   \n",
       "85166   fa65dad1b0e818e3ccc5cb0e39231352                  23      voucher   \n",
       "93337   fa65dad1b0e818e3ccc5cb0e39231352                  20      voucher   \n",
       "99213   fa65dad1b0e818e3ccc5cb0e39231352                  24      voucher   \n",
       "100606  fa65dad1b0e818e3ccc5cb0e39231352                  22      voucher   \n",
       "\n",
       "        payment_installments  payment_value  \n",
       "4885                       1          66.02  \n",
       "9985                       1          29.16  \n",
       "14321                      1           3.71  \n",
       "17274                      1           1.08  \n",
       "19565                      1          12.86  \n",
       "23074                      1           8.51  \n",
       "24879                      1           3.68  \n",
       "28330                      1           0.66  \n",
       "29648                      1           5.02  \n",
       "32519                      1           4.03  \n",
       "36822                      1           0.00  \n",
       "39108                      1          19.26  \n",
       "39111                      1          29.05  \n",
       "63369                      1          14.04  \n",
       "65641                      1           2.95  \n",
       "68853                      1          26.02  \n",
       "73537                      1           3.60  \n",
       "74239                      1           4.11  \n",
       "74721                      1           5.02  \n",
       "77885                      1           0.00  \n",
       "78050                      1          12.86  \n",
       "79587                      1          28.27  \n",
       "79670                      1           3.72  \n",
       "80321                      1           0.73  \n",
       "82593                      1           0.32  \n",
       "85166                      1          18.86  \n",
       "93337                      1         150.00  \n",
       "99213                      1           0.42  \n",
       "100606                     1           4.03  "
      ]
     },
     "execution_count": 80,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "payments[payments['order_id']=='fa65dad1b0e818e3ccc5cb0e39231352']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 81,
   "id": "ee718482",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
       "    .dataframe thead th {\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>payment_sequential</th>\n",
       "      <th>payment_installments</th>\n",
       "      <th>payment_value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>order_id</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>fa65dad1b0e818e3ccc5cb0e39231352</th>\n",
       "      <td>435</td>\n",
       "      <td>29</td>\n",
       "      <td>457.99</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                                  payment_sequential  payment_installments  \\\n",
       "order_id                                                                     \n",
       "fa65dad1b0e818e3ccc5cb0e39231352                 435                    29   \n",
       "\n",
       "                                  payment_value  \n",
       "order_id                                         \n",
       "fa65dad1b0e818e3ccc5cb0e39231352         457.99  "
      ]
     },
     "execution_count": 81,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "payments=payments.groupby('order_id').sum()\n",
    "payments[payments.index=='fa65dad1b0e818e3ccc5cb0e39231352']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "id": "61d605b8",
   "metadata": {},
   "outputs": [],
   "source": [
    "# orders의 구매 날짜와 payments의 총 지불 금액을 합침 \n",
    "merged_order=pd.merge(orders,payments,on='order_id',how='left')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 83,
   "id": "460b47a1",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 96461 entries, 0 to 96460\n",
      "Data columns (total 11 columns):\n",
      " #   Column                         Non-Null Count  Dtype  \n",
      "---  ------                         --------------  -----  \n",
      " 0   order_id                       96461 non-null  object \n",
      " 1   customer_id                    96461 non-null  object \n",
      " 2   order_status                   96461 non-null  object \n",
      " 3   order_purchase_timestamp       96461 non-null  object \n",
      " 4   order_approved_at              96461 non-null  object \n",
      " 5   order_delivered_carrier_date   96461 non-null  object \n",
      " 6   order_delivered_customer_date  96461 non-null  object \n",
      " 7   order_estimated_delivery_date  96461 non-null  object \n",
      " 8   payment_sequential             96460 non-null  float64\n",
      " 9   payment_installments           96460 non-null  float64\n",
      " 10  payment_value                  96460 non-null  float64\n",
      "dtypes: float64(3), object(8)\n",
      "memory usage: 8.8+ MB\n"
     ]
    }
   ],
   "source": [
    "merged_order.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "id": "bb5efac8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_id</th>\n",
       "      <th>customer_id</th>\n",
       "      <th>order_status</th>\n",
       "      <th>order_purchase_timestamp</th>\n",
       "      <th>order_approved_at</th>\n",
       "      <th>order_delivered_carrier_date</th>\n",
       "      <th>order_delivered_customer_date</th>\n",
       "      <th>order_estimated_delivery_date</th>\n",
       "      <th>payment_sequential</th>\n",
       "      <th>payment_installments</th>\n",
       "      <th>payment_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [order_id, customer_id, order_status, order_purchase_timestamp, order_approved_at, order_delivered_carrier_date, order_delivered_customer_date, order_estimated_delivery_date, payment_sequential, payment_installments, payment_value]\n",
       "Index: []"
      ]
     },
     "execution_count": 84,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_order[merged_order['order_id']=='fa65dad1b0e818e3ccc5cb0e39231352']"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6389e0d3",
   "metadata": {},
   "source": [
    "### pandas로 날짜 다루기 \n",
    "시계열 자료 이용해야하므로(order_purchase_timestamp,..)  "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "id": "e0e4f847",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 96461 entries, 0 to 96460\n",
      "Data columns (total 11 columns):\n",
      " #   Column                         Non-Null Count  Dtype  \n",
      "---  ------                         --------------  -----  \n",
      " 0   order_id                       96461 non-null  object \n",
      " 1   customer_id                    96461 non-null  object \n",
      " 2   order_status                   96461 non-null  object \n",
      " 3   order_purchase_timestamp       96461 non-null  object \n",
      " 4   order_approved_at              96461 non-null  object \n",
      " 5   order_delivered_carrier_date   96461 non-null  object \n",
      " 6   order_delivered_customer_date  96461 non-null  object \n",
      " 7   order_estimated_delivery_date  96461 non-null  object \n",
      " 8   payment_sequential             96460 non-null  float64\n",
      " 9   payment_installments           96460 non-null  float64\n",
      " 10  payment_value                  96460 non-null  float64\n",
      "dtypes: float64(3), object(8)\n",
      "memory usage: 8.8+ MB\n"
     ]
    }
   ],
   "source": [
    "merged_order.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "id": "16f51e42",
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_order['order_purchase_timestamp']=pd.to_datetime(merged_order['order_purchase_timestamp'],format='%Y-%m-%d %H:%M:%S',errors='raise')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "id": "ffb97c5b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "Int64Index: 96461 entries, 0 to 96460\n",
      "Data columns (total 11 columns):\n",
      " #   Column                         Non-Null Count  Dtype         \n",
      "---  ------                         --------------  -----         \n",
      " 0   order_id                       96461 non-null  object        \n",
      " 1   customer_id                    96461 non-null  object        \n",
      " 2   order_status                   96461 non-null  object        \n",
      " 3   order_purchase_timestamp       96461 non-null  datetime64[ns]\n",
      " 4   order_approved_at              96461 non-null  object        \n",
      " 5   order_delivered_carrier_date   96461 non-null  object        \n",
      " 6   order_delivered_customer_date  96461 non-null  object        \n",
      " 7   order_estimated_delivery_date  96461 non-null  object        \n",
      " 8   payment_sequential             96460 non-null  float64       \n",
      " 9   payment_installments           96460 non-null  float64       \n",
      " 10  payment_value                  96460 non-null  float64       \n",
      "dtypes: datetime64[ns](1), float64(3), object(7)\n",
      "memory usage: 8.8+ MB\n"
     ]
    }
   ],
   "source": [
    "merged_order.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 88,
   "id": "51273a6d",
   "metadata": {},
   "outputs": [],
   "source": [
    "#데이터 프레임 중 일부를 선택 후, 조작하면 해당 데이터프레임도 변경 \n",
    "#copy를 통해 복사본을 만들어 조작하여, 원본 데이터프레임은 보존 가능 \n",
    "merged_order_payment_date=merged_order[['order_purchase_timestamp','payment_value']].copy()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 89,
   "id": "c5dc1ba8",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>order_purchase_timestamp</th>\n",
       "      <th>payment_value</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2017-10-02 10:56:33</td>\n",
       "      <td>38.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2018-07-24 20:41:37</td>\n",
       "      <td>141.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2018-08-08 08:38:49</td>\n",
       "      <td>179.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2017-11-18 19:28:06</td>\n",
       "      <td>72.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2018-02-13 21:18:39</td>\n",
       "      <td>28.62</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  order_purchase_timestamp  payment_value\n",
       "0      2017-10-02 10:56:33          38.71\n",
       "1      2018-07-24 20:41:37         141.46\n",
       "2      2018-08-08 08:38:49         179.12\n",
       "3      2017-11-18 19:28:06          72.20\n",
       "4      2018-02-13 21:18:39          28.62"
      ]
     },
     "execution_count": 89,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_order_payment_date.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 90,
   "id": "80e33e1d",
   "metadata": {},
   "outputs": [],
   "source": [
    "merged_order_payment_date=merged_order_payment_date.set_index('order_purchase_timestamp')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 91,
   "id": "aba89e48",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>payment_value</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>order_purchase_timestamp</th>\n",
       "      <th></th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>2017-10-02 10:56:33</th>\n",
       "      <td>38.71</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-07-24 20:41:37</th>\n",
       "      <td>141.46</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-08-08 08:38:49</th>\n",
       "      <td>179.12</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-11-18 19:28:06</th>\n",
       "      <td>72.20</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-13 21:18:39</th>\n",
       "      <td>28.62</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-03-09 09:54:05</th>\n",
       "      <td>85.08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-02-06 12:58:58</th>\n",
       "      <td>195.00</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2017-08-27 14:46:43</th>\n",
       "      <td>271.01</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-01-08 21:28:27</th>\n",
       "      <td>441.16</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2018-03-08 20:57:30</th>\n",
       "      <td>86.86</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>96461 rows × 1 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                          payment_value\n",
       "order_purchase_timestamp               \n",
       "2017-10-02 10:56:33               38.71\n",
       "2018-07-24 20:41:37              141.46\n",
       "2018-08-08 08:38:49              179.12\n",
       "2017-11-18 19:28:06               72.20\n",
       "2018-02-13 21:18:39               28.62\n",
       "...                                 ...\n",
       "2017-03-09 09:54:05               85.08\n",
       "2018-02-06 12:58:58              195.00\n",
       "2017-08-27 14:46:43              271.01\n",
       "2018-01-08 21:28:27              441.16\n",
       "2018-03-08 20:57:30               86.86\n",
       "\n",
       "[96461 rows x 1 columns]"
      ]
     },
     "execution_count": 91,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "merged_order_payment_date"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "49fd46f2",
   "metadata": {},
   "outputs": [],
   "source": []
  }
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