002-Dados-relativos-e-absolutos.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Importação das bibliotecas de manipulação de dados\n",
    "\n",
    "import pandas as pd                                 # Manipulação de dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "# criação de um dicionário com dados\n",
    "\n",
    "dados = {'emprego' : ['Adminstrador_de_banco_de_dados', 'Programador', 'Arquiteto_de_redes'],\n",
    "         'nova_jersey' : [97_350, 82_080, 112_840],\n",
    "         'florida' : [77_140, 71_540, 62_310]\n",
    "         }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "dict"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# tipo dos dados\n",
    "\n",
    "type(dados)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "# transformando os dados de dicionario para um dataframe\n",
    "\n",
    "dados = pd.DataFrame(dados)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "    }\n",
       "\n",
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       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>emprego</th>\n",
       "      <th>nova_jersey</th>\n",
       "      <th>florida</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adminstrador_de_banco_de_dados</td>\n",
       "      <td>97350</td>\n",
       "      <td>77140</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Programador</td>\n",
       "      <td>82080</td>\n",
       "      <td>71540</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arquiteto_de_redes</td>\n",
       "      <td>112840</td>\n",
       "      <td>62310</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          emprego  nova_jersey  florida\n",
       "0  Adminstrador_de_banco_de_dados        97350    77140\n",
       "1                     Programador        82080    71540\n",
       "2              Arquiteto_de_redes       112840    62310"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualizando os dados\n",
    "\n",
    "dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(292270, 210990)"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# soma dos valores de cada coluna\n",
    "\n",
    "dados['nova_jersey'].sum(), dados['florida'].sum()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "# criação de uma nova coluna com os percentuais\n",
    "\n",
    "dados['%_nova_jersey'] = (dados['nova_jersey'] / dados['nova_jersey'].sum()) * 100\n",
    "dados['%_florida']     = (dados['florida'] / dados['florida'].sum()) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\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>emprego</th>\n",
       "      <th>nova_jersey</th>\n",
       "      <th>florida</th>\n",
       "      <th>%_nova_jersey</th>\n",
       "      <th>%_florida</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>Adminstrador_de_banco_de_dados</td>\n",
       "      <td>97350</td>\n",
       "      <td>77140</td>\n",
       "      <td>33.308242</td>\n",
       "      <td>36.560974</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>Programador</td>\n",
       "      <td>82080</td>\n",
       "      <td>71540</td>\n",
       "      <td>28.083621</td>\n",
       "      <td>33.906820</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>Arquiteto_de_redes</td>\n",
       "      <td>112840</td>\n",
       "      <td>62310</td>\n",
       "      <td>38.608136</td>\n",
       "      <td>29.532205</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "                          emprego  nova_jersey  florida  %_nova_jersey  \\\n",
       "0  Adminstrador_de_banco_de_dados        97350    77140      33.308242   \n",
       "1                     Programador        82080    71540      28.083621   \n",
       "2              Arquiteto_de_redes       112840    62310      38.608136   \n",
       "\n",
       "   %_florida  \n",
       "0  36.560974  \n",
       "1  33.906820  \n",
       "2  29.532205  "
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualizando os dados\n",
    "\n",
    "dados"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculos de coeficiente e taxas"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "# criação de um dicionário com dados\n",
    "\n",
    "dados2 = {'ano_graduação' : ['1º' , '2º', '3º', '4º', 'Total'],\n",
    "         'matriculas_março' : [70, 50, 47, 23, 190],\n",
    "         'matriculas_novembro' : [65, 48, 40, 22, 175]\n",
    "         }"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ano_graduação</th>\n",
       "      <th>matriculas_março</th>\n",
       "      <th>matriculas_novembro</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1º</td>\n",
       "      <td>70</td>\n",
       "      <td>65</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2º</td>\n",
       "      <td>50</td>\n",
       "      <td>48</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3º</td>\n",
       "      <td>47</td>\n",
       "      <td>40</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4º</td>\n",
       "      <td>23</td>\n",
       "      <td>22</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Total</td>\n",
       "      <td>190</td>\n",
       "      <td>175</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  ano_graduação  matriculas_março  matriculas_novembro\n",
       "0            1º                70                   65\n",
       "1            2º                50                   48\n",
       "2            3º                47                   40\n",
       "3            4º                23                   22\n",
       "4         Total               190                  175"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# transformando os dados de dicionario para um dataframe\n",
    "\n",
    "dados2 = pd.DataFrame(dados2)\n",
    "dados2"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [],
   "source": [
    "# calculo de coeficiente e taxa de evasão \n",
    "\n",
    "dados2['taxa_evasão'] = ((dados2['matriculas_março'] - dados2['matriculas_novembro']) / dados2['matriculas_março']) * 100"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
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       "\n",
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>ano_graduação</th>\n",
       "      <th>matriculas_março</th>\n",
       "      <th>matriculas_novembro</th>\n",
       "      <th>taxa_evasão</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1º</td>\n",
       "      <td>70</td>\n",
       "      <td>65</td>\n",
       "      <td>7.142857</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2º</td>\n",
       "      <td>50</td>\n",
       "      <td>48</td>\n",
       "      <td>4.000000</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>3º</td>\n",
       "      <td>47</td>\n",
       "      <td>40</td>\n",
       "      <td>14.893617</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>4º</td>\n",
       "      <td>23</td>\n",
       "      <td>22</td>\n",
       "      <td>4.347826</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>Total</td>\n",
       "      <td>190</td>\n",
       "      <td>175</td>\n",
       "      <td>7.894737</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  ano_graduação  matriculas_março  matriculas_novembro  taxa_evasão\n",
       "0            1º                70                   65     7.142857\n",
       "1            2º                50                   48     4.000000\n",
       "2            3º                47                   40    14.893617\n",
       "3            4º                23                   22     4.347826\n",
       "4         Total               190                  175     7.894737"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# visualizando os dados\n",
    "\n",
    "dados2"
   ]
  }
 ],
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