diff --git a/exercicios/para-casa/README.md b/exercicios/para-casa/README.md index 63af01a..e87178f 100644 --- a/exercicios/para-casa/README.md +++ b/exercicios/para-casa/README.md @@ -1,50 +1,38 @@ -# Exercício de Casa 🏠 +# Análise de Dados sobre a Doença de Parkinson 🧠 ## Projeto II -### Explicação do Exercício -1 - Escolha do Dataset: -- Utilize o dataset proposto em aula ou selecione um de sua preferência no Kaggle. -- Faça uma introdução explicando os dados e o motivo da escolha do dataset. -- Explique o que chamou sua atenção nesses dados e por que você acredita que eles podem gerar bons insights. Quais aspectos relevantes você identificou? -
+### Descrição do Projeto +Este projeto visa analisar um dataset contendo informações abrangentes de 2.105 pacientes diagnosticados com a Doença de Parkinson. O objetivo é explorar fatores demográficos, estilo de vida, histórico médico, e sintomas para identificar padrões e possíveis correlações entre esses fatores e o diagnóstico da doença. -2 - Instalação de Bibliotecas: -- Instale as bibliotecas necessárias para o tratamento de dados, incluindo Pandas e Numpy. -
-3 - Visualizações Gráficas: +### Estrutura do Projeto +1 - Dataset: -- Utilize as bibliotecas Matplotlib ou Seaborn para construir gráficos adicionais. -- Crie no mínimo 4 visualizações gráficas com Pandas. -
+- O dataset utilizado contém informações como idade, gênero, etnia, IMC, histórico familiar, presença de sintomas, entre outros dados clínicos. -4 - Consultas SQL: -- Realize consultas SQL nos dados. -
+2 - Análises Realizadas: -5 - Teste de Hipótese: -- Conduza um teste de hipótese com base nos dados. +- Testes de Hipóteses: Investigações sobre a correlação entre depressão e sintomas da Doença de Parkinson, além de análises sobre o impacto do histórico familiar no diagnóstico. +- Visualizações Gráficas: Gráficos que comparam a média dos fatores de estilo de vida e histórico médico entre pacientes com e sem Parkinson. +- Consultas SQL: Uso de SQL para explorar dados específicos, como a distribuição de sintomas por gênero e etnia.- -Arquivos que devem ser submetidos: +### Como executar: +Pré-requisitos: -- arquivo.csv (ou similar: json, exe, etc) utilizado -- arquivo .db com entradas de interesse -- arquivo .ipynb com relatório contendo gráficos e insights sobre dados utilizados. -- código de criação e edição em sql (.py ou .ipynb) -- readme.md com todas a documentação das analises. +- Python 3.x +- Pandas +- Matplotlib +- Seaborn +- SQLite3 -## Extra +#### Instruções: -Crie uma função que, a partir do dataset escolhido, crie um DataFrame, faça o tratamento dos dados e, por fim, exiba uma visualização gráfica. -Crie duas amostras e faça consultas com elas usando a operação merge. +- Clone o repositório. +- Execute os scripts Python para realizar as análises e gerar os gráficos. +- As consultas SQL estão integradas nos scripts e podem ser visualizadas diretamente nos resultados. -Terminou o exercício? Dá uma olhada nessa checklist e confere se tá tudo certinho, combinado?! +#### Resultados: -- [ ] Fiz o fork do repositório. -- [ ] Clonei o fork na minha máquina (`git clone url-do-meu-fork`). -- [ ] Resolvi o exercício. -- [ ] Adicionei as mudanças. (`git add .` para adicionar todos os arquivos, ou `git add nome_do_arquivo` para adicionar um arquivo específico) -- [ ] Commitei a cada mudança significativa ou na finalização do exercício (`git commit -m "Mensagem do commit"`) -- [ ] Pushei os commits na minha branch (`git push origin nome-da-branch`) -- [ ] Criei um Pull Request seguindo as orientaçoes que estao nesse [documento](https://github.com/mflilian/repo-example/blob/main/exercicios/para-casa/instrucoes-pull-request.md). +- Os gráficos e resultados das análises podem ser visualizados após a execução dos scripts. +- As interpretações dos testes de hipóteses estão documentadas nos scripts. diff --git a/exercicios/para-casa/parkinsons_disease_data.csv b/exercicios/para-casa/parkinsons_disease_data.csv new file mode 100644 index 0000000..e61c670 --- /dev/null +++ b/exercicios/para-casa/parkinsons_disease_data.csv @@ -0,0 +1,2106 @@ 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1.380660 3.893969 ... \n", + "1 6.027648 8.409804 8.513428 ... \n", + "2 2.242135 0.213275 6.498805 ... \n", + "3 5.997788 1.375045 6.715033 ... \n", + "4 9.775243 1.188607 4.657572 ... \n", + "\n", + " FunctionalAssessment Tremor Rigidity Bradykinesia PosturalInstability \\\n", + "0 1.572427 1 0 0 0 \n", + "1 4.787551 0 1 0 1 \n", + "2 2.130686 1 0 0 0 \n", + "3 3.391288 1 1 1 0 \n", + "4 3.200969 0 0 0 1 \n", + "\n", + " SpeechProblems SleepDisorders Constipation Diagnosis DoctorInCharge \n", + "0 0 0 0 0 DrXXXConfid \n", + "1 0 1 0 1 DrXXXConfid \n", + "2 1 0 1 1 DrXXXConfid \n", + "3 0 0 1 1 DrXXXConfid \n", + "4 0 1 0 0 DrXXXConfid \n", + "\n", + "[5 rows x 35 columns]\n", + "PatientID 0\n", + "Age 0\n", + "Gender 0\n", + "Ethnicity 0\n", + "EducationLevel 0\n", + "BMI 0\n", + "Smoking 0\n", + "AlcoholConsumption 0\n", + "PhysicalActivity 0\n", + "DietQuality 0\n", + "SleepQuality 0\n", + "FamilyHistoryParkinsons 0\n", + "TraumaticBrainInjury 0\n", + "Hypertension 0\n", + "Diabetes 0\n", + "Depression 0\n", + "Stroke 0\n", + "SystolicBP 0\n", + "DiastolicBP 0\n", + "CholesterolTotal 0\n", + "CholesterolLDL 0\n", + "CholesterolHDL 0\n", + "CholesterolTriglycerides 0\n", + "UPDRS 0\n", + "MoCA 0\n", + "FunctionalAssessment 0\n", + "Tremor 0\n", + "Rigidity 0\n", + "Bradykinesia 0\n", + "PosturalInstability 0\n", + "SpeechProblems 0\n", + "SleepDisorders 0\n", + "Constipation 0\n", + "Diagnosis 0\n", + "DoctorInCharge 0\n", + "dtype: int64\n", + "0\n" + ] + } + ], + "source": [ + "import pandas as pd\n", + "import matplotlib.pyplot as plt\n", + "import seaborn as sns\n", + "\n", + "# Carregar o arquivo CSV\n", + "df = pd.read_csv('/Users/laristch/Desktop/reprograma/on33-python-s13-projeto-guiado-II/exercicios/para-casa/parkinsons_disease_data.csv')\n", + "\n", + "# Verificar se carregou\n", + "print(df.head())\n", + "\n", + "# Verificar a existência de valores nulos e duplicados\n", + "print(df.isnull().sum())\n", + "print(df.duplicated().sum())" + ] + }, + { + "cell_type": "code", + "execution_count": 114, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " ID_Paciente Idade Gênero Raça Nível_Educacional IMC Fumante \\\n", + "0 3058 85 0 3 1 19.619878 0 \n", + "1 3059 75 0 0 2 16.247339 1 \n", + "2 3060 70 1 0 0 15.368239 0 \n", + "3 3061 52 0 0 0 15.454557 0 \n", + "4 3062 87 0 0 1 18.616042 0 \n", + "\n", + " Consumo_Álcool Atividade_Física Qualidade_Dieta ... \\\n", + "0 5.108241 1.380660 3.893969 ... \n", + "1 6.027648 8.409804 8.513428 ... \n", + "2 2.242135 0.213275 6.498805 ... \n", + "3 5.997788 1.375045 6.715033 ... \n", + "4 9.775243 1.188607 4.657572 ... \n", + "\n", + " Avaliação_Funcional Tremor Rigidez Bradicinesia Instabilidade_Postural \\\n", + "0 1.572427 1 0 0 0 \n", + "1 4.787551 0 1 0 1 \n", + "2 2.130686 1 0 0 0 \n", + "3 3.391288 1 1 1 0 \n", + "4 3.200969 0 0 0 1 \n", + "\n", + " Problemas_de_Fala Distúrbios_do_Sono Constipação Diagnóstico_Parkinson \\\n", + "0 0 0 0 0 \n", + "1 0 1 0 1 \n", + "2 1 0 1 1 \n", + "3 0 0 1 1 \n", + "4 0 1 0 0 \n", + "\n", + " DoctorInCharge \n", + "0 DrXXXConfid \n", + "1 DrXXXConfid \n", + "2 DrXXXConfid \n", + "3 DrXXXConfid \n", + "4 DrXXXConfid \n", + "\n", + "[5 rows x 35 columns]\n" + ] + } + ], + "source": [ + "# Dicionário de renomeação de colunas\n", + "colunas_renomeadas = {\n", + " 'PatientID': 'ID_Paciente',\n", + " 'Age': 'Idade',\n", + " 'Gender': 'Gênero',\n", + " 'Ethnicity': 'Raça',\n", + " 'EducationLevel': 'Nível_Educacional',\n", + " 'BMI': 'IMC',\n", + " 'Smoking': 'Fumante',\n", + " 'AlcoholConsumption': 'Consumo_Álcool',\n", + " 'PhysicalActivity': 'Atividade_Física',\n", + " 'DietQuality': 'Qualidade_Dieta',\n", + " 'SleepQuality': 'Qualidade_Sono',\n", + " 'FamilyHistoryParkinsons': 'Histórico_Familiar_Parkinson',\n", + " 'TraumaticBrainInjury': 'Lesão_Cerebral_Traumática',\n", + " 'Hypertension': 'Hipertensão',\n", + " 'Diabetes': 'Diabetes',\n", + " 'Depression': 'Depressão',\n", + " 'Stroke': 'AVC',\n", + " 'SystolicBP': 'Pressão_Sistólica',\n", + " 'DiastolicBP': 'Pressão_Diastólica',\n", + " 'CholesterolTotal': 'Colesterol_Total',\n", + " 'CholesterolLDL': 'Colesterol_LDL',\n", + " 'CholesterolHDL': 'Colesterol_HDL',\n", + " 'CholesterolTriglycerides': 'Triglicerídeos',\n", + " 'UPDRS': 'UPDRS',\n", + " 'MoCA': 'MoCA',\n", + " 'FunctionalAssessment': 'Avaliação_Funcional',\n", + " 'Tremor': 'Tremor',\n", + " 'Rigidity': 'Rigidez',\n", + " 'Bradykinesia': 'Bradicinesia',\n", + " 'PosturalInstability': 'Instabilidade_Postural',\n", + " 'SpeechProblems': 'Problemas_de_Fala',\n", + " 'SleepDisorders': 'Distúrbios_do_Sono',\n", + " 'Constipation': 'Constipação',\n", + " 'Diagnosis': 'Diagnóstico_Parkinson'\n", + "}\n", + "\n", + "# Renomeando as colunas do DataFrame\n", + "df.rename(columns=colunas_renomeadas, inplace=True)\n", + "\n", + "# Exibindo as primeiras linhas do DataFrame para verificar as alterações\n", + "print(df.head())" + ] + }, + { + "cell_type": "code", + "execution_count": 115, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['ID_Paciente', 'Idade', 'Gênero', 'Raça', 'Nível_Educacional', 'IMC',\n", + " 'Fumante', 'Consumo_Álcool', 'Atividade_Física', 'Qualidade_Dieta',\n", + " 'Qualidade_Sono', 'Histórico_Familiar_Parkinson',\n", + " 'Lesão_Cerebral_Traumática', 'Hipertensão', 'Diabetes', 'Depressão',\n", + " 'AVC', 'Pressão_Sistólica', 'Pressão_Diastólica', 'Colesterol_Total',\n", + " 'Colesterol_LDL', 'Colesterol_HDL', 'Triglicerídeos', 'UPDRS', 'MoCA',\n", + " 'Avaliação_Funcional', 'Tremor', 'Rigidez', 'Bradicinesia',\n", + " 'Instabilidade_Postural', 'Problemas_de_Fala', 'Distúrbios_do_Sono',\n", + " 'Constipação', 'Diagnóstico_Parkinson', 'DoctorInCharge'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "# Mostrar as colunas\n", + "print(df.columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 116, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Empty DataFrame\n", + "Columns: [ID_Paciente, Idade, Gênero, Raça, Nível_Educacional, IMC, Fumante, Consumo_Álcool, Atividade_Física, Qualidade_Dieta, Qualidade_Sono, Histórico_Familiar_Parkinson, Lesão_Cerebral_Traumática, Hipertensão, Diabetes, Depressão, AVC, Pressão_Sistólica, Pressão_Diastólica, Colesterol_Total, Colesterol_LDL, Colesterol_HDL, Triglicerídeos, UPDRS, MoCA, Avaliação_Funcional, Tremor, Rigidez, Bradicinesia, Instabilidade_Postural, Problemas_de_Fala, Distúrbios_do_Sono, Constipação, Diagnóstico_Parkinson, DoctorInCharge]\n", + "Index: []\n", + "\n", + "[0 rows x 35 columns]\n" + ] + } + ], + "source": [ + "#função das linhas duplicadas \n", + "\n", + "def visualizar_as_duplicadas(df):\n", + " duplicados = df[df.duplicated(keep=False)]\n", + " \n", + " return duplicados\n", + "\n", + "linhas_duplicadas = visualizar_as_duplicadas(df)\n", + "print(linhas_duplicadas)" + ] + }, + { + "cell_type": "code", + "execution_count": 117, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Index(['ID_Paciente', 'Idade', 'Gênero', 'Raça', 'Nível_Educacional', 'IMC',\n", + " 'Fumante', 'Consumo_Álcool', 'Atividade_Física', 'Qualidade_Dieta',\n", + " 'Qualidade_Sono', 'Histórico_Familiar_Parkinson',\n", + " 'Lesão_Cerebral_Traumática', 'Hipertensão', 'Diabetes', 'Depressão',\n", + " 'AVC', 'Pressão_Sistólica', 'Pressão_Diastólica', 'Colesterol_Total',\n", + " 'Colesterol_LDL', 'Colesterol_HDL', 'Triglicerídeos', 'UPDRS', 'MoCA',\n", + " 'Avaliação_Funcional', 'Tremor', 'Rigidez', 'Bradicinesia',\n", + " 'Instabilidade_Postural', 'Problemas_de_Fala', 'Distúrbios_do_Sono',\n", + " 'Constipação', 'Diagnóstico_Parkinson', 'DoctorInCharge'],\n", + " dtype='object')\n" + ] + } + ], + "source": [ + "# Mostrar as colunas\n", + "print(df.columns)" + ] + }, + { + "cell_type": "code", + "execution_count": 118, + "metadata": {}, + "outputs": [ + { + "data": { + 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ID_PacienteIdadeGêneroRaçaNível_EducacionalIMCFumanteConsumo_ÁlcoolAtividade_FísicaQualidade_Dieta...MoCAAvaliação_FuncionalTremorRigidezBradicinesiaInstabilidade_PosturalProblemas_de_FalaDistúrbios_do_SonoConstipaçãoDiagnóstico_Parkinson
count2105.0000002105.0000002105.0000002105.0000002105.0000002105.0000002105.0000002105.0000002105.0000002105.000000...2105.0000002105.0000002105.0000002105.0000002105.0000002105.0000002105.0000002105.0000002105.0000002105.000000
mean4110.00000069.6019000.4926370.6926371.33729227.2094930.29643710.0404135.0166744.912901...15.0943144.9896940.4318290.2527320.2076010.1387170.2950120.2451310.2969120.619477
std607.80547911.5945110.5000651.0038270.8958407.2080990.4567955.6870142.8909192.872115...8.6430142.9338770.4954490.4346820.4056860.3457330.4561560.4302670.4570060.485631
min3058.00000050.0000000.0000000.0000000.00000015.0083330.0000000.0022280.0041570.000011...0.0211910.0015050.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
25%3584.00000060.0000000.0000000.0000001.00000020.7821760.0000005.1502782.4557032.478503...7.5171602.4158900.0000000.0000000.0000000.0000000.0000000.0000000.0000000.000000
50%4110.00000070.0000000.0000000.0000001.00000027.1845710.00000010.0703375.0315504.825187...14.9635744.9832270.0000000.0000000.0000000.0000000.0000000.0000000.0000001.000000
75%4636.00000080.0000001.0000001.0000002.00000033.4624521.00000014.8295657.5127957.381487...22.6083627.4842201.0000001.0000000.0000000.0000001.0000000.0000001.0000001.000000
max5162.00000089.0000001.0000003.0000003.00000039.9998871.00000019.9888669.9952559.995864...29.9701079.9926971.0000001.0000001.0000001.0000001.0000001.0000001.0000001.000000
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8 rows × 34 columns

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" + ], + "text/plain": [ + " ID_Paciente Idade Gênero Raça Nível_Educacional \\\n", + "count 2105.000000 2105.000000 2105.000000 2105.000000 2105.000000 \n", + "mean 4110.000000 69.601900 0.492637 0.692637 1.337292 \n", + "std 607.805479 11.594511 0.500065 1.003827 0.895840 \n", + "min 3058.000000 50.000000 0.000000 0.000000 0.000000 \n", + "25% 3584.000000 60.000000 0.000000 0.000000 1.000000 \n", + "50% 4110.000000 70.000000 0.000000 0.000000 1.000000 \n", + "75% 4636.000000 80.000000 1.000000 1.000000 2.000000 \n", + "max 5162.000000 89.000000 1.000000 3.000000 3.000000 \n", + "\n", + " IMC Fumante Consumo_Álcool Atividade_Física \\\n", + "count 2105.000000 2105.000000 2105.000000 2105.000000 \n", + "mean 27.209493 0.296437 10.040413 5.016674 \n", + "std 7.208099 0.456795 5.687014 2.890919 \n", + "min 15.008333 0.000000 0.002228 0.004157 \n", + "25% 20.782176 0.000000 5.150278 2.455703 \n", + "50% 27.184571 0.000000 10.070337 5.031550 \n", + "75% 33.462452 1.000000 14.829565 7.512795 \n", + "max 39.999887 1.000000 19.988866 9.995255 \n", + "\n", + " Qualidade_Dieta ... MoCA Avaliação_Funcional Tremor \\\n", + "count 2105.000000 ... 2105.000000 2105.000000 2105.000000 \n", + "mean 4.912901 ... 15.094314 4.989694 0.431829 \n", + "std 2.872115 ... 8.643014 2.933877 0.495449 \n", + "min 0.000011 ... 0.021191 0.001505 0.000000 \n", + "25% 2.478503 ... 7.517160 2.415890 0.000000 \n", + "50% 4.825187 ... 14.963574 4.983227 0.000000 \n", + "75% 7.381487 ... 22.608362 7.484220 1.000000 \n", + "max 9.995864 ... 29.970107 9.992697 1.000000 \n", + "\n", + " Rigidez Bradicinesia Instabilidade_Postural Problemas_de_Fala \\\n", + "count 2105.000000 2105.000000 2105.000000 2105.000000 \n", + "mean 0.252732 0.207601 0.138717 0.295012 \n", + "std 0.434682 0.405686 0.345733 0.456156 \n", + "min 0.000000 0.000000 0.000000 0.000000 \n", + "25% 0.000000 0.000000 0.000000 0.000000 \n", + "50% 0.000000 0.000000 0.000000 0.000000 \n", + "75% 1.000000 0.000000 0.000000 1.000000 \n", + "max 1.000000 1.000000 1.000000 1.000000 \n", + "\n", + " Distúrbios_do_Sono Constipação Diagnóstico_Parkinson \n", + "count 2105.000000 2105.000000 2105.000000 \n", + "mean 0.245131 0.296912 0.619477 \n", + "std 0.430267 0.457006 0.485631 \n", + "min 0.000000 0.000000 0.000000 \n", + "25% 0.000000 0.000000 0.000000 \n", + "50% 0.000000 0.000000 1.000000 \n", + "75% 0.000000 1.000000 1.000000 \n", + "max 1.000000 1.000000 1.000000 \n", + "\n", + "[8 rows x 34 columns]" + ] + }, + "execution_count": 118, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "#descrição dos dados\n", + "df.describe()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 128, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Diagnóstico_Parkinson\n", + "1 1304\n", + "0 801\n", + "Name: count, dtype: int64\n" + ] + } + ], + "source": [ + "# Contar o número de pacientes com e sem o diagnóstico de Parkinson\n", + "contagem_diagnostico = df['Diagnóstico_Parkinson'].value_counts()\n", + "\n", + "# Exibir os resultados\n", + "print(contagem_diagnostico)" + ] + }, + { + "cell_type": "code", + "execution_count": 125, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Desvio padrão dos fatores de estilo de vida:\n", + "IMC 7.208099\n", + "Consumo_Álcool 5.687014\n", + "Atividade_Física 2.890919\n", + "Qualidade_Dieta 2.872115\n", + "Qualidade_Sono 1.753065\n", + "dtype: float64\n", + "\n", + "\n", + "Desvio padrão dos fatores de histórico médico:\n", + "Histórico_Familiar_Parkinson 0.353033\n", + "Lesão_Cerebral_Traumática 0.308439\n", + "Hipertensão 0.353033\n", + "Diabetes 0.355401\n", + "Depressão 0.403962\n", + "AVC 0.215775\n", + "dtype: float64\n" + ] + } + ], + "source": [ + "#Calcular o valor do desvio padrão\n", + "\n", + "fatores_estilo_vida = ['IMC', 'Consumo_Álcool', 'Atividade_Física', 'Qualidade_Dieta', 'Qualidade_Sono']\n", + "\n", + "fatores_historico_medico = [\n", + " 'Histórico_Familiar_Parkinson', 'Lesão_Cerebral_Traumática', 'Hipertensão',\n", + " 'Diabetes', 'Depressão', 'AVC'\n", + "]\n", + "\n", + "# Calcular o desvio padrão para fatores de estilo de vida\n", + "std_estilo_vida = df[fatores_estilo_vida].std()\n", + "print(\"Desvio padrão dos fatores de estilo de vida:\")\n", + "print(std_estilo_vida)\n", + "print(\"\\n\")\n", + "\n", + "# Calcular o desvio padrão para fatores de histórico médico\n", + "std_historico_medico = df[fatores_historico_medico].std()\n", + "print(\"Desvio padrão dos fatores de histórico médico:\")\n", + "print(std_historico_medico)" + ] + }, + { + "cell_type": "code", + "execution_count": 120, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Qual a ocorrência dos sintomas nos pacientes?\n", + "\n", + "# Selecionar as colunas relacionadas a sintomas\n", + "sintomas = [\n", + " 'Tremor', \n", + " 'Rigidez', \n", + " 'Bradicinesia', \n", + " 'Instabilidade_Postural', \n", + " 'Problemas_de_Fala', \n", + " 'Distúrbios_do_Sono', \n", + " 'Constipação'\n", + "]\n", + "# Contar a ocorrência de cada sintoma\n", + "sintomas_contagem = df[sintomas].sum()\n", + "\n", + "# Plotar um gráfico de barras para os sintomas\n", + "sintomas_contagem.plot(kind='bar', color='skyblue')\n", + "plt.title('Ocorrência dos Sintomas Relatados')\n", + "plt.xlabel('Sintomas')\n", + "plt.ylabel('Número de Pacientes')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 121, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Distribuição de pacientes por gênero\n", + "\n", + "df['Gênero'] = df['Gênero'].replace({0: 'Masculino', 1: 'Feminino'})\n", + "\n", + "# Contagem de pacientes por gênero e diagnóstico de Parkinson\n", + "contagem_genero = df.groupby(['Gênero', 'Diagnóstico_Parkinson']).size().unstack()\n", + "\n", + "# Criar gráfico de barras para distribuição por gênero\n", + "contagem_genero.plot(kind=\"bar\", stacked=False, color=[\"gray\", \"blue\"], edgecolor=\"black\")\n", + "plt.xlabel(\"Gênero\")\n", + "plt.ylabel(\"Quantidade\")\n", + "plt.title(\"Distribuição de Gênero entre Pacientes com e sem Parkinson\")\n", + "plt.legend([\"Sem Parkinson\", \"Com Parkinson\"])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 122, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Distribuição de pacientes por raça\n", + "\n", + "df['Raça'] = df['Raça'].replace({\n", + " 0: 'Caucasiano',\n", + " 1: 'Afro-americano',\n", + " 2: 'Asiático',\n", + " 3: 'Outro'\n", + "})\n", + "\n", + "# Contagem de pacientes por raça e diagnóstico de Parkinson\n", + "contagem_raca = df.groupby(['Raça', 'Diagnóstico_Parkinson']).size().unstack()\n", + "\n", + "# Criar gráfico de barras para distribuição por raça\n", + "contagem_raca.plot(kind=\"bar\", stacked=False, color=[\"gray\", \"green\"], edgecolor=\"black\")\n", + "plt.xlabel(\"Raça\")\n", + "plt.ylabel(\"Quantidade\")\n", + "plt.title(\"Distribuição de Raça entre Pacientes com e sem Parkinson\")\n", + "plt.legend([\"Sem Parkinson\", \"Com Parkinson\"])\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + }, + { + "cell_type": "code", + "execution_count": 127, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "#Qual a distribuição de pessoas com ou sem Parkinson a partir do fator qualidade de sono?\n", + "\n", + " \n", + "# Calcular a média\n", + "media = df.groupby('Diagnóstico_Parkinson')['Qualidade_Sono'].mean() * 100\n", + " \n", + " # Plotar o gráfico de barras\n", + "media.plot(kind='bar', color=['gray', 'orange'])\n", + "plt.title(f'Média de Qualidade de Sono por Diagnóstico de Parkinson')\n", + "plt.ylabel(f'Média de Qualidade de Sono (%)')\n", + "plt.xlabel('Diagnóstico (0 = Sem Parkinson, 1 = Com Parkinson)')\n", + "plt.xticks(rotation=0)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Qual é a distribuição de pessoas com ou sem parkinson a partir dos dados de histórico médico?\n", + "\n", + "fatores_historico_medico = [\n", + " 'Histórico_Familiar_Parkinson', 'Lesão_Cerebral_Traumática', 'Hipertensão',\n", + " 'Diabetes', 'Depressão', 'AVC'\n", + "]\n", + "\n", + "# Inicializar um DataFrame para armazenar as médias\n", + "medias_medico_df = pd.DataFrame()\n", + "\n", + "# Calcular a média de cada fator de histórico médico para os dois grupos (com e sem Parkinson)\n", + "for fator in fatores_historico_medico:\n", + " medias_medico_df[fator] = df.groupby('Diagnóstico_Parkinson')[fator].mean() * 100\n", + "\n", + "# Transpor o DataFrame para que os fatores sejam as linhas\n", + "medias_medico_df = medias_medico_df.T\n", + "medias_medico_df.columns = ['Sem Parkinson', 'Com Parkinson']\n", + "\n", + "# Plotar o gráfico de barras\n", + "medias_medico_df.plot(kind='bar', figsize=(10, 6), color=['gray', 'violet'])\n", + "plt.title('Comparação do Histórico Médico entre Pacientes com e sem Parkinson')\n", + "plt.ylabel('Média (%)')\n", + "plt.xlabel('Fatores do Histórico Médico')\n", + "plt.xticks(rotation=45, ha='right')\n", + "plt.legend(title='Diagnóstico')\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 69, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Qual a distribuição de idades entre pacientes com Parkinson?\n", + "\n", + "# Filtrar os dados para pacientes com Parkinson\n", + "idades_com_parkinson = df[df['Diagnóstico_Parkinson'] == 1]['Idade']\n", + "\n", + "# Plotagem da distribuição de idades para pacientes com Parkinson\n", + "plt.figure(figsize=(8, 6))\n", + "plt.hist(idades_com_parkinson, bins=10, edgecolor=\"black\", color=\"orange\")\n", + "\n", + "# Configurações do gráfico\n", + "plt.xlabel(\"Idade\")\n", + "plt.ylabel(\"Quantidade\")\n", + "plt.title(\"Distribuição de Idade entre Pacientes com Parkinson\")\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 70, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Teste T de depressão e diagnóstico de Parkinson\n", + "Estatística T: 2.7140772255629395\n", + "Valor P: 0.006700322025172613\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Rejeitamos a hipótese nula: A depressão influencia o diagnóstico de Parkinson.\n" + ] + } + ], + "source": [ + "# Parkinson e depressão\n", + "# Hipótese:\n", + "# H0: Não há correlação entre o diagnóstico de Parkinson e depressão.\n", + "# H1: Há correlação entre o diagnóstico de Parkinson e depressão.\n", + "\n", + "from scipy.stats import ttest_ind\n", + "\n", + "# Separando as amostras\n", + "depressao_com_parkinson = df[df['Diagnóstico_Parkinson'] == 1]['Depressão'].dropna()\n", + "depressao_sem_parkinson = df[df['Diagnóstico_Parkinson'] == 0]['Depressão'].dropna()\n", + "\n", + "# Teste T\n", + "estatistica_t, valor_p = ttest_ind(depressao_com_parkinson, depressao_sem_parkinson)\n", + "\n", + "# Resultados do teste\n", + "print(\"Teste T de depressão e diagnóstico de Parkinson\")\n", + "print(f\"Estatística T: {estatistica_t}\")\n", + "print(f\"Valor P: {valor_p}\")\n", + "\n", + "# Gráfico para visualização\n", + "sns.histplot(depressao_com_parkinson, color='blue', label='Com Parkinson', kde=True, bins=20)\n", + "sns.histplot(depressao_sem_parkinson, color='green', label='Sem Parkinson', kde=True, bins=20)\n", + "\n", + "# Configurações do gráfico\n", + "plt.legend()\n", + "plt.title(\"Distribuição de Depressão em Pacientes com e sem Parkinson\")\n", + "plt.xlabel(\"Depressão (0 = Não, 1 = Sim)\")\n", + "plt.ylabel(\"Contagem\")\n", + "plt.show()\n", + "\n", + "# Interpretação do resultado\n", + "if valor_p < 0.05:\n", + " print(\"Rejeitamos a hipótese nula: A depressão influencia o diagnóstico de Parkinson.\")\n", + "else:\n", + " print(\"Não rejeitamos a hipótese nula: A depressão não influencia o diagnóstico de Parkinson.\")" + ] + }, + { + "cell_type": "code", + "execution_count": 82, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Teste T para UPDRS entre pacientes com e sem depressão\n", + "Estatística T: 1.322568988845656\n", + "Valor p: 0.18621101253279018\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Não rejeitamos a hipótese nula: Não há diferença significativa na pontuação de UPDRS entre pacientes com e sem depressão.\n" + ] + } + ], + "source": [ + "# Hipótese:\n", + "# H0: Não há correlação entre o valor de UPDRS do Parkinson e depressão.\n", + "# H1: Há correlação entre o valor de UPDRSdo Parkinson e depressão.\n", + "\n", + "# Filtrar para pacientes com Parkinson (Diagnosis = 1)\n", + "df_parkinson = df[df['Diagnóstico_Parkinson'] == 1]\n", + "\n", + "# Separar os pacientes em dois grupos: com depressão e sem depressão\n", + "updrs_com_depressao = df_parkinson[df_parkinson['Depressão'] == 1]['UPDRS']\n", + "updrs_sem_depressao = df_parkinson[df_parkinson['Depressão'] == 0]['UPDRS']\n", + "\n", + "# Teste t para comparar as médias de UPDRS entre os dois grupos\n", + "estatistica_t, valor_p = ttest_ind(updrs_com_depressao, updrs_sem_depressao)\n", + "\n", + "print(\"Teste T para UPDRS entre pacientes com e sem depressão\")\n", + "print(f\"Estatística T: {estatistica_t}\")\n", + "print(f\"Valor p: {valor_p}\")\n", + "\n", + "# Visualizar a distribuição de UPDRS em ambos os grupos\n", + "plt.figure(figsize=(8, 6))\n", + "sns.histplot(updrs_com_depressao, color='red', label='Com Depressão', kde=True, bins=20)\n", + "sns.histplot(updrs_sem_depressao, color='blue', label='Sem Depressão', kde=True, bins=20)\n", + "plt.title(\"Distribuição de UPDRS em Pacientes com e sem Depressão\")\n", + "plt.xlabel(\"UPDRS Score\")\n", + "plt.ylabel(\"Frequência\")\n", + "plt.legend()\n", + "plt.show()\n", + "\n", + "# Interpretação\n", + "if valor_p < 0.05:\n", + " print(\"Rejeitamos a hipótese nula: A depressão está associada a uma diferença significativa na pontuação de UPDRS.\")\n", + "else:\n", + " print(\"Não rejeitamos a hipótese nula: Não há diferença significativa na pontuação de UPDRS entre pacientes com e sem depressão.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Teste T para MoCA entre pacientes com e sem depressão\n", + "Estatística T: 0.3168552877564864\n", + "Valor p: 0.7514042068155842\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Não rejeitamos a hipótese nula: Não há diferença significativa na pontuação de MoCA entre pacientes com e sem depressão.\n" + ] + } + ], + "source": [ + "# Hipótese:\n", + "# H0: Não há correlação entre o valor de MoCA do Parkinson e depressão.\n", + "# H1: Há correlação entre o valor de MoCA do Parkinson e depressão.\n", + "\n", + "# Separar os pacientes em dois grupos: com depressão e sem depressão\n", + "moca_com_depressao = df_parkinson[df_parkinson['Depressão'] == 1]['MoCA']\n", + "moca_sem_depressao = df_parkinson[df_parkinson['Depressão'] == 0]['MoCA']\n", + "\n", + "# Teste t para comparar as médias de MoCA entre os dois grupos\n", + "estatistica_t_moca, valor_p_moca = ttest_ind(moca_com_depressao, moca_sem_depressao)\n", + "\n", + "print(\"Teste T para MoCA entre pacientes com e sem depressão\")\n", + "print(f\"Estatística T: {estatistica_t_moca}\")\n", + "print(f\"Valor p: {valor_p_moca}\")\n", + "\n", + "# Visualizar a distribuição de MoCA em ambos os grupos\n", + "plt.figure(figsize=(8, 6))\n", + "sns.histplot(moca_com_depressao, color='red', label='Com Depressão', kde=True, bins=20)\n", + "sns.histplot(moca_sem_depressao, color='blue', label='Sem Depressão', kde=True, bins=20)\n", + "plt.title(\"Distribuição de MoCA em Pacientes com e sem Depressão\")\n", + "plt.xlabel(\"Valor de MoCA\")\n", + "plt.ylabel(\"Frequência\")\n", + "plt.legend()\n", + "plt.show()\n", + "\n", + "# Interpretação\n", + "if valor_p_moca < 0.05:\n", + " print(\"Rejeitamos a hipótese nula: A depressão está associada a uma diferença significativa na pontuação de MoCA.\")\n", + "else:\n", + " print(\"Não rejeitamos a hipótese nula: Não há diferença significativa na pontuação de MoCA entre pacientes com e sem depressão.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Teste T para Functional Assessment entre pacientes com e sem depressão\n", + "Estatística T: 1.6375623596930584\n", + "Valor p: 0.10175465926973075\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Não rejeitamos a hipótese nula: Não há diferença significativa na pontuação de Functional Assessment entre pacientes com e sem depressão.\n" + ] + } + ], + "source": [ + "# Hipótese:\n", + "# H0: Não há correlação entre o valor de Avaliação_Funcional do Parkinson e depressão.\n", + "# H1: Há correlação entre o valor de Avaliação_Funcional do Parkinson e depressão.\n", + "\n", + "# Separar os pacientes em dois grupos: com depressão e sem depressão\n", + "func_assess_com_depressao = df_parkinson[df_parkinson['Depressão'] == 1]['Avaliação_Funcional']\n", + "func_assess_sem_depressao = df_parkinson[df_parkinson['Depressão'] == 0]['Avaliação_Funcional']\n", + "\n", + "# Teste t para comparar as médias de Functional Assessment entre os dois grupos\n", + "estatistica_t_func_assess, valor_p_func_assess = ttest_ind(func_assess_com_depressao, func_assess_sem_depressao)\n", + "\n", + "print(\"Teste T para Avaliação_Funcional entre pacientes com e sem depressão\")\n", + "print(f\"Estatística T: {estatistica_t_func_assess}\")\n", + "print(f\"Valor p: {valor_p_func_assess}\")\n", + "\n", + "# Visualizar a distribuição de Avaliação_Funcional em ambos os grupos\n", + "plt.figure(figsize=(8, 6))\n", + "sns.histplot(func_assess_com_depressao, color='red', label='Com Depressão', kde=True, bins=20)\n", + "sns.histplot(func_assess_sem_depressao, color='blue', label='Sem Depressão', kde=True, bins=20)\n", + "plt.title(\"Distribuição de Avaliação_Funcional em Pacientes com e sem Depressão\")\n", + "plt.xlabel(\"Valor de Avaliação_Funcional\")\n", + "plt.ylabel(\"Frequência\")\n", + "plt.legend()\n", + "plt.show()\n", + "\n", + "# Interpretação\n", + "if valor_p_func_assess < 0.05:\n", + " print(\"Rejeitamos a hipótese nula: A depressão está associada a uma diferença significativa na pontuação de Functional Assessment.\")\n", + "else:\n", + " print(\"Não rejeitamos a hipótese nula: Não há diferença significativa na pontuação de Functional Assessment entre pacientes com e sem depressão.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Sintoma Com Depressão Sem Depressão\n", + "0 Tremor 48.287671 55.434783\n", + "1 Rigidez 27.397260 32.806324\n", + "2 Bradicinesia 25.684932 26.877470\n", + "3 Instabilidade_Postural 18.835616 17.588933\n", + "4 Problemas_de_Fala 31.164384 28.458498\n", + "5 Distúrbios_do_Sono 20.205479 25.296443\n", + "6 Constipação 34.589041 29.446640\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# Depressão e a presença de sintomas do Parkinson\n", + "\n", + "# Lista dos sintomas\n", + "sintomas = ['Tremor', 'Rigidez', 'Bradicinesia', 'Instabilidade_Postural', 'Problemas_de_Fala', 'Distúrbios_do_Sono', 'Constipação']\n", + "\n", + "# Lista para armazenar as proporções de sintomas\n", + "dados_sintomas = []\n", + "\n", + "# Calcular as proporções\n", + "for sintoma in sintomas:\n", + " proporcao_com_depressao = df_parkinson[df_parkinson['Depressão'] == 1][sintoma].mean()\n", + " proporcao_sem_depressao = df_parkinson[df_parkinson['Depressão'] == 0][sintoma].mean()\n", + " \n", + " dados_sintomas.append({\n", + " 'Sintoma': sintoma,\n", + " 'Com Depressão': proporcao_com_depressao * 100,\n", + " 'Sem Depressão': proporcao_sem_depressao * 100\n", + " })\n", + "\n", + "# Converter a lista para um DataFrame\n", + "proporcoes_sintomas = pd.DataFrame(dados_sintomas)\n", + "\n", + "# Exibir as proporções\n", + "print(proporcoes_sintomas)\n", + "\n", + "# Plotar as proporções em um gráfico de barras\n", + "proporcoes_sintomas.set_index('Sintoma').plot(kind='bar', figsize=(10, 6), color=['violet', 'skyblue'])\n", + "plt.title('Proporção de Sintomas em Pacientes com e sem Depressão')\n", + "plt.ylabel('Proporção (%)')\n", + "plt.xlabel('Sintoma')\n", + "plt.xticks(rotation=45)\n", + "plt.legend(['Com Depressão', 'Sem Depressão'])\n", + "plt.show()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 79, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Teste T para Tremor:\n", + "Estatística T: -2.1603689362196814\n", + "Valor P: 0.030926092584913623\n", + "Rejeitamos a hipótese nula: Há uma correlação entre depressão e o sintoma.\n", + "\n", + "Teste T para Rigidez:\n", + "Estatística T: -1.752224325675387\n", + "Valor P: 0.0799706320841968\n", + "Não rejeitamos a hipótese nula: Não há evidências de correlação entre depressão e o sintoma.\n", + "\n", + "Teste T para Instabilidade_Postural:\n", + "Estatística T: 0.48956538690405504\n", + "Valor P: 0.6245239437237071\n", + "Não rejeitamos a hipótese nula: Não há evidências de correlação entre depressão e o sintoma.\n", + "\n", + "Teste T para Problemas_de_Fala:\n", + "Estatística T: 0.8966855707947557\n", + "Valor P: 0.3700524837239808\n", + "Não rejeitamos a hipótese nula: Não há evidências de correlação entre depressão e o sintoma.\n", + "\n", + "Teste T para Distúrbios_do_Sono:\n", + "Estatística T: -1.7912995179837001\n", + "Valor P: 0.0734774342265624\n", + "Não rejeitamos a hipótese nula: Não há evidências de correlação entre depressão e o sintoma.\n", + "\n" + ] + } + ], + "source": [ + "# Há correlação entre depressão e a presença de sintomas?\n", + "\n", + "from scipy.stats import ttest_ind\n", + "\n", + "# Lista dos sintomas\n", + "sintomas = [\n", + " 'Tremor', \n", + " 'Rigidez', \n", + " 'Instabilidade_Postural', \n", + " 'Problemas_de_Fala', \n", + " 'Distúrbios_do_Sono'\n", + "]\n", + "\n", + "# Hipótese nula (H0): Não há correlação entre depressão e o sintoma.\n", + "# Hipótese alternativa (H1): Há correlação entre depressão e o sintoma.\n", + "\n", + "# Loop para realizar o teste T para cada sintoma\n", + "for sintoma in sintomas:\n", + " # Separar os dados em grupos: com e sem depressão\n", + " com_depressao = df_parkinson[df_parkinson['Depressão'] == 1][sintoma].dropna()\n", + " sem_depressao = df_parkinson[df_parkinson['Depressão'] == 0][sintoma].dropna()\n", + " \n", + " # Realizar o teste T\n", + " estatistica_t, valor_p = ttest_ind(com_depressao, sem_depressao)\n", + " \n", + " # Exibir os resultados\n", + " print(f\"Teste T para {sintoma}:\")\n", + " print(f\"Estatística T: {estatistica_t}\")\n", + " print(f\"Valor P: {valor_p}\")\n", + " \n", + " # Interpretar o resultado\n", + " if valor_p < 0.05:\n", + " print(\"Rejeitamos a hipótese nula: Há uma correlação entre depressão e o sintoma.\\n\")\n", + " else:\n", + " print(\"Não rejeitamos a hipótese nula: Não há evidências de correlação entre depressão e o sintoma.\\n\")" + ] + }, + { + "cell_type": "code", + "execution_count": 129, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Teste T para Histórico Familiar de Parkinson entre pacientes com e sem Parkinson\n", + "Estatística T: 0.6128821792099899\n", + "Valor p: 0.5400205173149957\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Não rejeitamos a hipótese nula: Não há evidências suficientes para afirmar que o histórico familiar de Parkinson esteja associado ao diagnóstico de Parkinson.\n" + ] + } + ], + "source": [ + "\n", + "# Há correlação entre histórico familiar e a doença de Parkinson?\n", + "\n", + "# Filtrar os pacientes com e sem Parkinson\n", + "hist_familiar_com_parkinson = df[df['Diagnóstico_Parkinson'] == 1]['Histórico_Familiar_Parkinson']\n", + "hist_familiar_sem_parkinson = df[df['Diagnóstico_Parkinson'] == 0]['Histórico_Familiar_Parkinson']\n", + "\n", + "# Teste t para comparar as médias entre os dois grupos\n", + "estatistica_t_hist_familiar, valor_p_hist_familiar = ttest_ind(hist_familiar_com_parkinson, hist_familiar_sem_parkinson)\n", + "\n", + "print(\"Teste T para Histórico Familiar de Parkinson entre pacientes com e sem Parkinson\")\n", + "print(f\"Estatística T: {estatistica_t_hist_familiar}\")\n", + "print(f\"Valor p: {valor_p_hist_familiar}\")\n", + "\n", + "# Contar pacientes com e sem histórico familiar\n", + "contagem_com = hist_familiar_com_parkinson.value_counts()\n", + "contagem_sem = hist_familiar_sem_parkinson.value_counts()\n", + "\n", + "# Gráfico de barras\n", + "plt.bar(['Sem Histórico', 'Com Histórico'], contagem_com, label='Com Parkinson', color='blue', alpha=0.7)\n", + "plt.bar(['Sem Histórico', 'Com Histórico'], contagem_sem, label='Sem Parkinson', color='gray', alpha=0.7)\n", + "\n", + "plt.xlabel('Histórico Familiar de Parkinson')\n", + "plt.ylabel('Número de Pacientes')\n", + "plt.title('Histórico Familiar em Pacientes com e sem Parkinson')\n", + "plt.legend()\n", + "plt.show()\n", + "plt.show()\n", + "\n", + "if valor_p_hist_familiar < 0.05:\n", + " print(\"Rejeitamos a hipótese nula: O histórico familiar de Parkinson está associado ao diagnóstico de Parkinson.\")\n", + "else:\n", + " print(\"Não rejeitamos a hipótese nula: Não há evidências suficientes para afirmar que o histórico familiar de Parkinson esteja associado ao diagnóstico de Parkinson.\")\n" + ] + }, + { + "cell_type": "code", + "execution_count": 123, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Gênero Contagem\n", + "0 Feminino 1037\n", + "1 Masculino 1068\n", + " Raça Contagem\n", + "0 Afro-americano 425\n", + "1 Asiático 197\n", + "2 Caucasiano 1270\n", + "3 Outro 213\n" + ] + } + ], + "source": [ + "import sqlite3\n", + "\n", + "# Substituir 0 e 1 pelos nomes corretos\n", + "df['Gênero'] = df['Gênero'].replace({0: 'Masculino', 1: 'Feminino'})\n", + "df['Raça'] = df['Raça'].replace({\n", + " 0: 'Caucasiano',\n", + " 1: 'Afro-americano',\n", + " 2: 'Asiático',\n", + " 3: 'Outro'\n", + "})\n", + "\n", + "# Conectar ao banco de dados SQLite em memória\n", + "conn = sqlite3.connect(':memory:')\n", + "\n", + "# Escrever o DataFrame em uma tabela SQL\n", + "df.to_sql('parkinson', conn, index=False, if_exists='replace')\n", + "\n", + "# Executar a consulta SQL para contar a distribuição por gênero\n", + "query_genero = \"\"\"\n", + "SELECT Gênero, COUNT(ID_Paciente) AS Contagem\n", + "FROM parkinson\n", + "GROUP BY Gênero;\n", + "\"\"\"\n", + "contagem_por_genero = pd.read_sql_query(query_genero, conn)\n", + "print(contagem_por_genero)\n", + "\n", + "# Executar a consulta SQL para contar a distribuição por raça\n", + "query_raca = \"\"\"\n", + "SELECT Raça, COUNT(ID_Paciente) AS Contagem\n", + "FROM parkinson\n", + "GROUP BY Raça;\n", + "\"\"\"\n", + "contagem_por_raca = pd.read_sql_query(query_raca, conn)\n", + "print(contagem_por_raca)\n", + "\n", + "# Fechar a conexão\n", + "conn.close()\n" + ] + }, + { + "cell_type": "code", + "execution_count": 98, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Gênero Tremor Rigidez Bradicinesia Instabilidade_Postural \\\n", + "0 Feminino 458 275 206 136 \n", + "1 Masculino 451 257 231 156 \n", + "\n", + " Problemas_de_Fala Distúrbios_do_Sono Constipação \n", + "0 307 244 287 \n", + "1 314 272 338 \n" + ] + } + ], + "source": [ + "# Conectar ao banco de dados SQLite em memória\n", + "conn = sqlite3.connect(':memory:')\n", + "\n", + "# Escrever o DataFrame em uma tabela SQL\n", + "df.to_sql('parkinson', conn, index=False, if_exists='replace')\n", + "\n", + "# Consulta SQL para contar a ocorrência de cada sintoma por gênero\n", + "query_sintomas_genero = \"\"\"\n", + "SELECT Gênero,\n", + " SUM(Tremor) AS Tremor,\n", + " SUM(Rigidez) AS Rigidez,\n", + " SUM(Bradicinesia) AS Bradicinesia,\n", + " SUM(Instabilidade_Postural) AS Instabilidade_Postural,\n", + " SUM(Problemas_de_Fala) AS Problemas_de_Fala,\n", + " SUM(Distúrbios_do_Sono) AS Distúrbios_do_Sono,\n", + " SUM(Constipação) AS Constipação\n", + "FROM parkinson\n", + "GROUP BY Gênero;\n", + "\"\"\"\n", + "sintomas_por_genero = pd.read_sql_query(query_sintomas_genero, conn)\n", + "print(sintomas_por_genero)\n", + "\n", + "# Fechar a conexão\n", + "conn.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 124, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Raça Tremor Rigidez Bradicinesia Instabilidade_Postural \\\n", + "0 Afro-americano 181 104 98 58 \n", + "1 Asiático 90 53 47 27 \n", + "2 Caucasiano 552 332 247 169 \n", + "3 Outro 86 43 45 38 \n", + "\n", + " Problemas_de_Fala Distúrbios_do_Sono Constipação \n", + "0 114 85 129 \n", + "1 47 51 54 \n", + "2 392 324 381 \n", + "3 68 56 61 \n" + ] + } + ], + "source": [ + "# Conectar ao banco de dados SQLite em memória\n", + "conn = sqlite3.connect(':memory:')\n", + "\n", + "# Escrever o DataFrame em uma tabela SQL\n", + "df.to_sql('parkinson', conn, index=False, if_exists='replace')\n", + "\n", + "# Consulta SQL para contar a ocorrência de cada sintoma por raça\n", + "query_sintomas_raca = \"\"\"\n", + "SELECT Raça,\n", + " SUM(Tremor) AS Tremor,\n", + " SUM(Rigidez) AS Rigidez,\n", + " SUM(Bradicinesia) AS Bradicinesia,\n", + " SUM(Instabilidade_Postural) AS Instabilidade_Postural,\n", + " SUM(Problemas_de_Fala) AS Problemas_de_Fala,\n", + " SUM(Distúrbios_do_Sono) AS Distúrbios_do_Sono,\n", + " SUM(Constipação) AS Constipação\n", + "FROM parkinson\n", + "GROUP BY Raça;\n", + "\"\"\"\n", + "sintomas_por_raca = pd.read_sql_query(query_sintomas_raca, conn)\n", + "print(sintomas_por_raca)\n", + "\n", + "# Fechar a conexão\n", + "conn.close()" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": ".venv", + "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": "3.12.3" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +}