01-coeficiente_de_contingência_de_Pearson.ipynb

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            "Coeficiente de contingencia de Pearson: 0.7071067811865476\n"
          ]
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      "source": [
        "import pandas as pd\n",
        "from scipy.stats import chi2_contingency\n",
        "\n",
        "# Vamos criar um DataFrame de exemplo com variáveis categóricas em strings\n",
        "data = {\n",
        "    'joao': ['hospital', 'especialidade', 'consulta'],\n",
        "    'maria': ['hospital', 'especialidade', 'exame']\n",
        "}\n",
        "\n",
        "df = pd.DataFrame(data)\n",
        "\n",
        "# Criação de uma tabela de contingência\n",
        "contingency_table = pd.crosstab(df['joao'], df['maria'])\n",
        "\n",
        "# Aplicando o teste qui-quadrado para calcular o coeficiente de contingência de Pearson\n",
        "chi2, p, dof, expected = chi2_contingency(contingency_table)\n",
        "\n",
        "# Exibindo o coeficiente de contingência de Pearson\n",
        "print(f\"Coeficiente de contingencia de Pearson: {((chi2)/(chi2 + len(df) * (min(contingency_table.shape) - 1))) ** 0.5}\")\n"
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