Visualização dos resultados das edições de 2010 a 2015 do ENEM através de um Shiny App

• Autor(a) principal: Nascimento, Marylaine Pereira do
• Data de Publicação: 2017
• Tipo de documento: Trabalho de conclusão de curso
• Idioma: por
• Título da fonte: Repositório Institucional da UFRN
• Texto Completo: https://repositorio.ufrn.br/handle/123456789/34320
• topic: Microdados do ENEM; shiny; Visualização de dados; ggplot2; Big Data; Raw data ENEM; Data Visualization; CNPQ::CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::FUNDAMENTOS DA ESTATISTICA; CNPQ::CIENCIAS EXATAS E DA TERRA::PROBABILIDADE E ESTATISTICA::ESTATISTICA::ANALISE DE DADOS; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::LINGUAGENS DE PROGRAMACAO; CNPQ::CIENCIAS EXATAS E DA TERRA::CIENCIA DA COMPUTACAO::METODOLOGIA E TECNICAS DA COMPUTACAO::BANCO DE DADOS

Created in 1998 aiming to evaluate the performance of High School graduates, the Exame Nacional do Ensino Médio - ENEM, is the main access exam to Higher Education in Brazil today, being responsible for 100% of the admisions in federal universities. Due to the relevance of ENEM, it is important to study some observed results in the exam realizations and understand the performance of differente groups of people, to question ourselves about which factors seem contributing to a good performance of the candidate. This is the intention of this work, to motivate the critical thinking about the results of ENEM through a pratical and agile application that gives graphic and summarized visualizationof the results. This results, although avaliable online, are not simple to be observed. A very large volume of data required a cleaning and pre-processing so we can work with the data.The result from our study, in this monography, created an interactive online application, accessible including to lay people in Statistics, so interested people can explore the data as they wish drawing their own conclusions. Our application contains the grades of ENEM from years 2010 to 2015 in six groups and two plot types. The present results are the grades in each knowledge area together with the essay and an arithmetic mean of the five notes. The application was created using theshinypackage of the R language. The presentation of the graphics was made using the package ggplot2, which builds aesthetically pleasing graphics. The application can be found at <http://shiny.estatistica.ccet.ufrn.br/enem>.