Contadores.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "id": "35380543",
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "id": "24462675",
   "metadata": {},
   "outputs": [],
   "source": [
    "s = pd.Series(list('asdasdasgçlgfs'))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "id": "984225b1",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0     a\n",
       "1     s\n",
       "2     d\n",
       "3     a\n",
       "4     s\n",
       "5     d\n",
       "6     a\n",
       "7     s\n",
       "8     g\n",
       "9     ç\n",
       "10    l\n",
       "11    g\n",
       "12    f\n",
       "13    s\n",
       "dtype: object"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "id": "d72f2f98",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['a', 's', 'd', 'g', 'ç', 'l', 'f'], dtype=object)"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "f2a68c99",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "s    4\n",
       "a    3\n",
       "d    2\n",
       "g    2\n",
       "ç    1\n",
       "l    1\n",
       "f    1\n",
       "dtype: int64"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# distribuição de frequencia\n",
    "s.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "e5d41f05",
   "metadata": {},
   "outputs": [],
   "source": [
    "dados = pd.read_csv('data/aluguel.csv',sep = ';')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "id": "e4e4c8a9",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "array(['Quitinete', 'Casa', 'Conjunto Comercial/Sala', 'Apartamento',\n",
       "       'Casa de Condomínio', 'Prédio Inteiro', 'Flat', 'Loja/Salão',\n",
       "       'Galpão/Depósito/Armazém', 'Casa Comercial', 'Casa de Vila',\n",
       "       'Terreno Padrão', 'Box/Garagem', 'Loft',\n",
       "       'Loja Shopping/ Ct Comercial', 'Chácara', 'Loteamento/Condomínio',\n",
       "       'Sítio', 'Pousada/Chalé', 'Studio', 'Hotel', 'Indústria'],\n",
       "      dtype=object)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dados.Tipo.unique()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "id": "05982bad",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Apartamento                    19532\n",
       "Conjunto Comercial/Sala         6815\n",
       "Loja/Salão                      1426\n",
       "Casa de Condomínio               996\n",
       "Casa                             967\n",
       "Quitinete                        836\n",
       "Galpão/Depósito/Armazém          623\n",
       "Flat                             476\n",
       "Prédio Inteiro                   301\n",
       "Casa Comercial                   265\n",
       "Casa de Vila                     249\n",
       "Loja Shopping/ Ct Comercial      247\n",
       "Box/Garagem                       82\n",
       "Terreno Padrão                    70\n",
       "Loft                              51\n",
       "Sítio                             10\n",
       "Loteamento/Condomínio              5\n",
       "Studio                             4\n",
       "Hotel                              2\n",
       "Chácara                            1\n",
       "Pousada/Chalé                      1\n",
       "Indústria                          1\n",
       "Name: Tipo, dtype: int64"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dados.Tipo.value_counts()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "446d1f2c",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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