analise_idmed.ipynb

{
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  {
   "cell_type": "markdown",
   "source": [
    "---\r\n",
    "# ***Análise das idades gerais dos alunos comparadas às dos alunos de medicina, na UFPE***"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 118,
   "source": [
    "import pandas as pd\r\n",
    "import matplotlib.pyplot as plt\r\n",
    "import seaborn as sns \r\n",
    "import numpy as np\r\n",
    "\r\n",
    "data = pd.read_csv(\r\n",
    "    'SUP_ALUNO_2019.csv',\r\n",
    "    encoding = \"ISO-8859-1\", \r\n",
    "    usecols=['NU_IDADE', 'CO_CURSO', 'CO_IES','TP_SEXO'],\r\n",
    "    sep='|'\r\n",
    "    )\r\n",
    "\r\n",
    "data.head()"
   ],
   "outputs": [
    {
     "output_type": "execute_result",
     "data": {
      "text/plain": [
       "   CO_IES  CO_CURSO  TP_SEXO  NU_IDADE\n",
       "0       1         1        1        27\n",
       "1       1         1        2        32\n",
       "2       1         1        2        31\n",
       "3       1         1        1        31\n",
       "4       1         1        2        42"
      ],
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>CO_IES</th>\n",
       "      <th>CO_CURSO</th>\n",
       "      <th>TP_SEXO</th>\n",
       "      <th>NU_IDADE</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>27</td>\n",
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       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>31</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>31</td>\n",
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       "      <th>4</th>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>2</td>\n",
       "      <td>42</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
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      ]
     },
     "metadata": {},
     "execution_count": 118
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 119,
   "source": [
    "students_ufpe = data.loc[data['CO_IES'] == 580]\r\n",
    "cod_med = 13601\r\n",
    "course_med = students_ufpe.loc[students_ufpe['CO_CURSO'] == cod_med]"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "\r\n",
    "# Plotagem dos gráficos com a concentração dos alunos por faixa etária"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 120,
   "source": [
    "sns.set_style('whitegrid')\r\n",
    "ax = sns.kdeplot(students_ufpe.NU_IDADE,shade=True, color='b')\r\n",
    "ax = sns.kdeplot(course_med.NU_IDADE,shade=True, color='r')\r\n",
    "ax.set_ylabel('Concentração')\r\n",
    "ax.set_xlabel('Idades')\r\n",
    "plt.show()"
   ],
   "outputs": [
    {
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     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## A curva em vermelho, que representa a concentração das idades dos alunos de medicina, é deslocada para a direita em relação à dos alunos de outros cursos, revelando uma incidência maior de pessoas mais velhas, refletindo a concorrência maior para a entrada no vestibular desse curso, como já era esperado."
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "Perceba que a idade mais recorrente, para medicina, é 23 anos."
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "---\r\n",
    "# ***Análise da quantidade de mulheres e homens nas Universidades***\r\n"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Essa análise foi feita com base no Censo Universitário de 2019, que ainda buscou dados considerando gêneros binários. Devido a isso, a análise englobará apenas as pessoas que se identificaram como homens ou mulheres."
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 121,
   "source": [
    "women = data.loc[data['TP_SEXO'] == 1].count()[0] #6928483\r\n",
    "men = data.loc[data['TP_SEXO'] == 2].count()[0] #5422349\r\n",
    "\r\n",
    "labels = ['Mulheres', 'Homens']\r\n",
    "values = [women, men]\r\n",
    "\r\n",
    "fig, ax = plt.subplots()\r\n",
    "\r\n",
    "ax.pie(values, labels = labels, colors=['#FFE4E1', '#E0FFFF'], autopct='%.1f%%', shadow=False, startangle=90)\r\n",
    "\r\n",
    "plt.title('Alunos de universidades no Brasil, em 2019, por sexo')\r\n",
    "\r\n",
    "plt.show()\r\n"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### Perceba que a quantidade de mulheres é maior, no geral. Embora não observemos uma diferença tão discrepante percentualmente, ela representa uma diferença de 1.506.134 alunas."
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "---\r\n",
    "# Análise da quantidade de alunos homens e mulheres na UFPE"
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "## Análise para o curso de medicina"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 122,
   "source": [
    "cod_med = 13601\r\n",
    "students_med = students.loc[students['CO_CURSO'] == cod_med]\r\n",
    "\r\n",
    "women_med = students_med.loc[students_med['TP_SEXO'] == 1].count()[0] #371 mulheres cursando Medicina na UFPE\r\n",
    "men_med = students_med.loc[students_med['TP_SEXO'] == 2].count()[0] #552 homens cursando Medicina na UFPE\r\n",
    "\r\n",
    "plt.show()\r\n",
    "\r\n",
    "labels = ['Mulheres', 'Homens']\r\n",
    "values = [women_med, men_med]\r\n",
    "\r\n",
    "fig, ax = plt.subplots()\r\n",
    "\r\n",
    "ax.pie(values, labels = labels, colors=['#FFE4E1', '#E0FFFF'], autopct='%.1f%%', shadow=False, startangle=90)\r\n",
    "\r\n",
    "plt.title('Medicina na UFPE, por sexo')\r\n",
    "\r\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### A predominância é masculina, com 181 alunos de diferença."
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Análise para o curso de Direito"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 123,
   "source": [
    "cod_dir = 13576\r\n",
    "students_dir = students.loc[students['CO_CURSO'] == cod_dir]\r\n",
    "\r\n",
    "women_dir = students_dir.loc[students_dir['TP_SEXO'] == 1].count()[0] #831 mulheres cursando Direito na UFPE\r\n",
    "men_dir = students_dir.loc[students_dir['TP_SEXO'] == 2].count()[0] #651 homens cursando Direito na UFPE\r\n",
    "\r\n",
    "plt.show()\r\n",
    "\r\n",
    "labels = ['Mulheres', 'Homens']\r\n",
    "values = [women_dir, men_dir]\r\n",
    "\r\n",
    "fig, ax = plt.subplots()\r\n",
    "\r\n",
    "ax.pie(values, labels = labels, colors=['#FFE4E1', '#E0FFFF'], autopct='%.1f%%', shadow=False, startangle=90)\r\n",
    "\r\n",
    "plt.title('Direito na UFPE, por sexo')\r\n",
    "\r\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
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"
     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### A predominância é feminina, com diferença de 180 alunas."
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Distribuição de homens e mulheres no Centro de Informática da UFPE"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 124,
   "source": [
    "cod_uni = 580\r\n",
    "cod_cc = 13595\r\n",
    "cod_ec = 58854\r\n",
    "cod_si = 1136142\r\n",
    "\r\n",
    "students = data.loc[data['CO_IES'] == cod_uni]\r\n",
    "\r\n",
    "students_cc = students.loc[students['CO_CURSO'] == cod_cc]\r\n",
    "students_ec = students.loc[students['CO_CURSO'] == cod_ec]\r\n",
    "students_si = students.loc[students['CO_CURSO'] == cod_si]\r\n",
    "\r\n",
    "women_cc = students_cc.loc[students_cc['TP_SEXO'] == 1].count()[0] #67 mulheres em Ciências da Computação na UFPE\r\n",
    "men_cc = students_cc.loc[students_cc['TP_SEXO'] == 2].count()[0] #506 homens em Ciências da Computação na UFPE\r\n",
    "\r\n",
    "women_ec = students_ec.loc[students_ec['TP_SEXO'] == 1].count()[0] #93 mulheres em Engenharia da Computação na UFPE\r\n",
    "men_ec = students_ec.loc[students_ec['TP_SEXO'] == 2].count()[0] #540 homens em em Engenharia da Computação na UFPE\r\n",
    "\r\n",
    "women_si = students_si.loc[students_si['TP_SEXO'] == 1].count()[0] #46 mulheres em Sistemas da Informação na UFPE\r\n",
    "men_si = students_si.loc[students_si['TP_SEXO'] == 2].count()[0] #333 homens em Sistemas da Informação na UFPE\r\n",
    "\r\n",
    "\r\n",
    "women_ufpe = students.loc[students['TP_SEXO'] == 1].count()[0] #18133 mulheres na UFPE\r\n",
    "men_ufpe = students.loc[students['TP_SEXO'] == 2].count()[0] #18615 homens na UFPE\r\n"
   ],
   "outputs": [],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Ciências da Computação"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 130,
   "source": [
    "plt.show()\r\n",
    "\r\n",
    "labels = ['Mulheres', 'Homens']\r\n",
    "values = [women_cc, men_cc]\r\n",
    "\r\n",
    "fig, ax = plt.subplots()\r\n",
    "\r\n",
    "ax.pie(values, labels = labels, colors=['#FFE4E1', '#E0FFFF'], autopct='%.1f%%', shadow=False, startangle=90)\r\n",
    "\r\n",
    "plt.title('Ciências da Computação na UFPE, por sexo')\r\n",
    "\r\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
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     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "439\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### O curso apresenta diferença de 439 alunos do sexo masculino pro feminino."
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Engenharia da Computação"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 131,
   "source": [
    "labels = ['Mulheres', 'Homens']\r\n",
    "values = [women_ec, men_ec]\r\n",
    "\r\n",
    "fig, ax = plt.subplots()\r\n",
    "\r\n",
    "ax.pie(values, labels = labels, colors=['#FFE4E1', '#E0FFFF'], autopct='%.1f%%', shadow=False, startangle=90)\r\n",
    "\r\n",
    "plt.title('Engenharia da Computação na UFPE, por sexo')\r\n",
    "\r\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
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     },
     "metadata": {}
    },
    {
     "output_type": "stream",
     "name": "stdout",
     "text": [
      "447\n"
     ]
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### O curso apresenta diferença de 447 alunos do sexo masculino pro feminino."
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Sitemas da Informação"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 133,
   "source": [
    "labels = ['Mulheres', 'Homens']\r\n",
    "values = [women_si, men_si]\r\n",
    "\r\n",
    "fig, ax = plt.subplots()\r\n",
    "\r\n",
    "ax.pie(values, labels = labels, colors=['#FFE4E1', '#E0FFFF'], autopct='%.1f%%', shadow=False, startangle=90)\r\n",
    "\r\n",
    "plt.title('Sistemas da Informação na UFPE, por sexo')\r\n",
    "\r\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
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     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "### O curso apresenta diferença de 287 alunos do sexo masculino pro feminino."
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "---\r\n",
    "### Perceba que, unanimamente, a discrepância entre a concentração de homens e mulheres no Centro de Informática em 2019 era enorme em todos os cursos."
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "---\r\n",
    "# Análise geral do centro\r\n"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 128,
   "source": [
    "women = women_cc + women_ec + women_si\r\n",
    "men = men_cc + men_ec + men_si\r\n",
    "\r\n",
    "labels = ['Mulheres', 'Homens']\r\n",
    "values = [women, men]\r\n",
    "\r\n",
    "fig, ax = plt.subplots()\r\n",
    "\r\n",
    "ax.pie(values, labels = labels, colors=['#FFE4E1', '#E0FFFF'], autopct='%.1f%%', shadow=False, startangle=90)\r\n",
    "\r\n",
    "plt.title('CIn, por sexo')\r\n",
    "\r\n",
    "plt.show()\r\n"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ],
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     },
     "metadata": {}
    }
   ],
   "metadata": {}
  },
  {
   "cell_type": "markdown",
   "source": [
    "# Análise da UFPE"
   ],
   "metadata": {}
  },
  {
   "cell_type": "code",
   "execution_count": 129,
   "source": [
    "women = women_ufpe\r\n",
    "men = men_ufpe\r\n",
    "\r\n",
    "plt.rcdefaults()\r\n",
    "fig, ax = plt.subplots()\r\n",
    "\r\n",
    "people = ('Mulheres', 'Homens')\r\n",
    "y_pos = np.arange(len(people))\r\n",
    "performance = [women, men]\r\n",
    "\r\n",
    "ax.barh(y_pos, performance, align='center')\r\n",
    "ax.set_yticks(y_pos)\r\n",
    "ax.set_yticklabels(people) \r\n",
    "ax.set_xlabel('Quantidade')\r\n",
    "ax.set_title('Distribuição homens/mulheres')\r\n",
    "\r\n",
    "plt.show()"
   ],
   "outputs": [
    {
     "output_type": "display_data",
     "data": {
      "text/plain": [
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      ],
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"
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   ],
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  {
   "cell_type": "markdown",
   "source": [
    "Percebemos que a UFPE tinha 482 mais homens que mulheres em 2019, de acordo com a predominância masculina no Centro de Informática, mas na contramão do país como um todo, que tem predominância feminina nas universidades."
   ],
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  }
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