{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "```{thebe-init}\n",
    "---\n",
    "thebe: true\n",
    "---\n",
    "```"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Exemplo de Aplicação: Técnica de Valor Agregado em Projetos\n",
    "\n",
    "Este notebook utiliza dados de um projeto para calcular indicadores de desempenho baseados no método de **Valor Agregado (Earned Value Management)**. Os principais passos são:\n",
    "\n",
    "1. Carregar os dados do projeto de um arquivo CSV.\n",
    "2. Calcular os valores planejados (VP), reais (VR) e os indicadores de desempenho:\n",
    "   - Variação de Prazo (VPr)\n",
    "   - Variação de Custo (VC)\n",
    "   - Índice de Desempenho de Prazo (IDP)\n",
    "   - Índice de Desempenho de Custo (IDC)\n",
    "3. Gerar gráficos que demonstrem as métricas de valor agregado ao longo do tempo.\n",
    "\n",
    "Vamos começar!"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Passo 1: Carregar os dados do projeto\n",
    "Os dados do projeto podem ser armazenados em um arquivo, tais como `projeto.csv` exemplicado abaixo. Neste caso, o formato esperado é o seguinte:\n",
    "\n",
    "```csv\n",
    "Atividades,Duração Planejada,Custos Planejados (CP),Custos Reais (CR),Valor Agregado (VA)\n",
    "A,5,500,450,475\n",
    "B,3,300,320,290\n",
    "C,4,400,380,350\n",
    "D,6,600,650,590\n",
    "E,2,200,220,190\n",
    "```\n",
    "No exemplo seguinte, para facilitar a execução os dados foram colocados diretamente no código.Usaremos a biblioteca `pandas` para carregar e transformar esses dados em um *dataframe*."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "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>Atividades</th>\n",
       "      <th>Duração Planejada</th>\n",
       "      <th>Custos Planejados (CP)</th>\n",
       "      <th>Custos Reais (CR)</th>\n",
       "      <th>Valor Agregado (VA)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>5</td>\n",
       "      <td>500</td>\n",
       "      <td>450</td>\n",
       "      <td>475</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B</td>\n",
       "      <td>3</td>\n",
       "      <td>300</td>\n",
       "      <td>320</td>\n",
       "      <td>290</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>400</td>\n",
       "      <td>380</td>\n",
       "      <td>350</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D</td>\n",
       "      <td>6</td>\n",
       "      <td>600</td>\n",
       "      <td>650</td>\n",
       "      <td>590</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E</td>\n",
       "      <td>2</td>\n",
       "      <td>200</td>\n",
       "      <td>220</td>\n",
       "      <td>190</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Atividades  Duração Planejada  Custos Planejados (CP)  Custos Reais (CR)  \\\n",
       "0          A                  5                     500                450   \n",
       "1          B                  3                     300                320   \n",
       "2          C                  4                     400                380   \n",
       "3          D                  6                     600                650   \n",
       "4          E                  2                     200                220   \n",
       "\n",
       "   Valor Agregado (VA)  \n",
       "0                  475  \n",
       "1                  290  \n",
       "2                  350  \n",
       "3                  590  \n",
       "4                  190  "
      ]
     },
     "execution_count": 1,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "import pandas as pd\n",
    "import io\n",
    "\n",
    "# Carregar os dados do arquivo CSV\n",
    "#data = pd.read_csv('../data/projeto.csv')\n",
    "\n",
    "# Dados CSV\n",
    "data = \"\"\"Atividades,Duração Planejada,Custos Planejados (CP),Custos Reais (CR),Valor Agregado (VA)\n",
    "A,5,500,450,475\n",
    "B,3,300,320,290\n",
    "C,4,400,380,350\n",
    "D,6,600,650,590\n",
    "E,2,200,220,190\"\"\"\n",
    "\n",
    "# Criar DataFrame\n",
    "data = pd.read_csv(io.StringIO(data))\n",
    "\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Passo 2: Calcular Indicadores de Valor Agregado\n",
    "### Fórmulas Utilizadas\n",
    "1. **Valores Planejados (VP)** = Duração Planejada × Custos Planejados (CP)\n",
    "2. **Valores Reais (VR)** = Duração Planejada × Custos Reais (CR)\n",
    "3. **Variação de Prazo (VPr)** = Valor Agregado (VA) - Valores Planejados (VP)\n",
    "4. **Variação de Custo (VC)** = Valor Agregado (VA) - Custos Reais (CR)\n",
    "5. **Índice de Desempenho de Prazo (IDP)** = Valor Agregado (VA) / Valores Planejados (VP)\n",
    "6. **Índice de Desempenho de Custo (IDC)** = Valor Agregado (VA) / Custos Reais (CR)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "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>Atividades</th>\n",
       "      <th>Duração Planejada</th>\n",
       "      <th>Custos Planejados (CP)</th>\n",
       "      <th>Custos Reais (CR)</th>\n",
       "      <th>Valor Agregado (VA)</th>\n",
       "      <th>Valores Planejados (VP)</th>\n",
       "      <th>Valores Reais (VR)</th>\n",
       "      <th>Variação de Prazo (VPr)</th>\n",
       "      <th>Variação de Custo (VC)</th>\n",
       "      <th>Índice de Desempenho de Prazos (IDP)</th>\n",
       "      <th>Índice de Desempenho de Custos (IDC)</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>A</td>\n",
       "      <td>5</td>\n",
       "      <td>500</td>\n",
       "      <td>450</td>\n",
       "      <td>475</td>\n",
       "      <td>2500</td>\n",
       "      <td>2250</td>\n",
       "      <td>-2025</td>\n",
       "      <td>25</td>\n",
       "      <td>0.190000</td>\n",
       "      <td>1.055556</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>B</td>\n",
       "      <td>3</td>\n",
       "      <td>300</td>\n",
       "      <td>320</td>\n",
       "      <td>290</td>\n",
       "      <td>900</td>\n",
       "      <td>960</td>\n",
       "      <td>-610</td>\n",
       "      <td>-30</td>\n",
       "      <td>0.322222</td>\n",
       "      <td>0.906250</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>C</td>\n",
       "      <td>4</td>\n",
       "      <td>400</td>\n",
       "      <td>380</td>\n",
       "      <td>350</td>\n",
       "      <td>1600</td>\n",
       "      <td>1520</td>\n",
       "      <td>-1250</td>\n",
       "      <td>-30</td>\n",
       "      <td>0.218750</td>\n",
       "      <td>0.921053</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>D</td>\n",
       "      <td>6</td>\n",
       "      <td>600</td>\n",
       "      <td>650</td>\n",
       "      <td>590</td>\n",
       "      <td>3600</td>\n",
       "      <td>3900</td>\n",
       "      <td>-3010</td>\n",
       "      <td>-60</td>\n",
       "      <td>0.163889</td>\n",
       "      <td>0.907692</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>E</td>\n",
       "      <td>2</td>\n",
       "      <td>200</td>\n",
       "      <td>220</td>\n",
       "      <td>190</td>\n",
       "      <td>400</td>\n",
       "      <td>440</td>\n",
       "      <td>-210</td>\n",
       "      <td>-30</td>\n",
       "      <td>0.475000</td>\n",
       "      <td>0.863636</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  Atividades  Duração Planejada  Custos Planejados (CP)  Custos Reais (CR)  \\\n",
       "0          A                  5                     500                450   \n",
       "1          B                  3                     300                320   \n",
       "2          C                  4                     400                380   \n",
       "3          D                  6                     600                650   \n",
       "4          E                  2                     200                220   \n",
       "\n",
       "   Valor Agregado (VA)  Valores Planejados (VP)  Valores Reais (VR)  \\\n",
       "0                  475                     2500                2250   \n",
       "1                  290                      900                 960   \n",
       "2                  350                     1600                1520   \n",
       "3                  590                     3600                3900   \n",
       "4                  190                      400                 440   \n",
       "\n",
       "   Variação de Prazo (VPr)  Variação de Custo (VC)  \\\n",
       "0                    -2025                      25   \n",
       "1                     -610                     -30   \n",
       "2                    -1250                     -30   \n",
       "3                    -3010                     -60   \n",
       "4                     -210                     -30   \n",
       "\n",
       "   Índice de Desempenho de Prazos (IDP)  Índice de Desempenho de Custos (IDC)  \n",
       "0                              0.190000                              1.055556  \n",
       "1                              0.322222                              0.906250  \n",
       "2                              0.218750                              0.921053  \n",
       "3                              0.163889                              0.907692  \n",
       "4                              0.475000                              0.863636  "
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# Calcular os indicadores\n",
    "data['Valores Planejados (VP)'] = data['Duração Planejada'] * data['Custos Planejados (CP)']\n",
    "data['Valores Reais (VR)'] = data['Duração Planejada'] * data['Custos Reais (CR)']\n",
    "data['Variação de Prazo (VPr)'] = data['Valor Agregado (VA)'] - data['Valores Planejados (VP)']\n",
    "data['Variação de Custo (VC)'] = data['Valor Agregado (VA)'] - data['Custos Reais (CR)']\n",
    "data['Índice de Desempenho de Prazos (IDP)'] = data['Valor Agregado (VA)'] / data['Valores Planejados (VP)']\n",
    "data['Índice de Desempenho de Custos (IDC)'] = data['Valor Agregado (VA)'] / data['Custos Reais (CR)']\n",
    "\n",
    "# Exibir os resultados\n",
    "data"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Passo 3: Gerar Gráficos\n",
    "### Gráfico 1: Comparação entre VP, VR e VA\n",
    "Este gráfico mostra os Valores Planejados, Reais e o Valor Agregado para cada atividade."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gráfico salvo como grafico_valor_agregado.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# Gráfico de VP, VR e VA\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(data['Atividades'], data['Valores Planejados (VP)'], label='Valores Planejados (VP)', marker='o')\n",
    "plt.plot(data['Atividades'], data['Valores Reais (VR)'], label='Valores Reais (VR)', marker='o')\n",
    "plt.plot(data['Atividades'], data['Valor Agregado (VA)'], label='Valor Agregado (VA)', marker='o')\n",
    "plt.title('Métricas de Valor Agregado')\n",
    "plt.xlabel('Atividades')\n",
    "plt.ylabel('Valores')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.savefig('../figures/grafico_valor_agregado.png')\n",
    "print(\"Gráfico salvo como grafico_valor_agregado.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Gráfico 2: Índices de Desempenho (IDP e IDC)\n",
    "Este gráfico mostra os índices de desempenho de prazo e custo para cada atividade."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Gráfico salvo como grafico_desempenho.png\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Gráfico de IDP e IDC\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(data['Atividades'], data['Índice de Desempenho de Prazos (IDP)'], label='IDP', marker='o')\n",
    "plt.plot(data['Atividades'], data['Índice de Desempenho de Custos (IDC)'], label='IDC', marker='o')\n",
    "plt.title('Indicadores de Desempenho (IDP e IDC)')\n",
    "plt.xlabel('Atividades')\n",
    "plt.ylabel('Índice')\n",
    "plt.legend()\n",
    "plt.grid()\n",
    "plt.savefig('../figures/grafico_desempenho.png')\n",
    "print(\"Gráfico salvo como grafico_desempenho.png\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Conclusão\n",
    "Este notebook demonstrou como calcular indicadores de valor agregado para análise de desempenho de projetos e como visualizá-los em gráficos. Os resultados podem ser utilizados para identificar atrasos, desvios de custo e oportunidades de melhoria no gerenciamento de projetos."
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "jupyterbook",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.13.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 4
}