Your browser doesn't support javascript.
loading
Simple but powerful interactive data analysis in R with R/LinekdCharts.
Ovchinnikova, Svetlana; Anders, Simon.
Afiliação
  • Ovchinnikova S; Center for Molecular Biology and BioQuant Center of the University of Heidelberg, Heidelberg, Germany.
  • Anders S; Center for Molecular Biology and BioQuant Center of the University of Heidelberg, Heidelberg, Germany. simon.anders@bioquant.uni-heidelberg.de.
Genome Biol ; 25(1): 43, 2024 02 05.
Article em En | MEDLINE | ID: mdl-38317238
ABSTRACT
In research involving data-rich assays, exploratory data analysis is a crucial step. Typically, this involves jumping back and forth between visualizations that provide overview of the whole data and others that dive into details. For example, it might be helpful to have one chart showing a summary statistic for all samples, while a second chart provides details for points selected in the first chart. We present R/LinkedCharts, a framework that renders this task radically simple, requiring very few lines of code to obtain complex and general visualization, which later can be polished to provide interactive data access of publication quality.
Assuntos

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Análise de Dados Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Análise de Dados Idioma: En Ano de publicação: 2024 Tipo de documento: Article