This work presents a use case of building a data visualization interface for open access repositories. The case of analysis is the Brazilian Digital Library of Thesis and Dissertations (BDTD). R is a statistical tool very used among developers and programmers. One of its packages is called Shiny, that makes it easy to build interactive web apps straight from R. Through the app, the user can visualize data in a fast and customizable way. It could help them to keep track of metadata and usage statistics over the institutional repositories and can also be applied to discovering scientific information, such as bibliographic references and lists of specialists in certain research domain. These data visualization tools can stimulate others to cre...
Data visualization is an extremely valuable skill in science, finance and journalism. Learning to pr...
Statistics for Library and Information Services, written for non-statisticians, provides logical, us...
This video introduces the Shiny framework for R and shows how to run a Shiny application. Video orig...
This work presents a use case of building a data visualization interface for open-access repositorie...
This work presents a use case of building a data visualization interface for open access repositorie...
This article introduces how to use the Shiny App in R to create interactive data visualization (from...
[EN] The increasing availability of open data resources provides opportunities for research and data...
An interactive user interface application was created using the R statistical computing environment ...
SWANSTAT is a user-friendly web application and free license that developed from the R programming l...
This video examines a Shiny web application of an R cluster analysis. It looks at the user interfac...
The goal of this project is to explore the use of Shiny, a web-scripting front-end for R, for making...
A análise de dados ganhou relevância significativa no mundo atual. À medida que aumenta a quantidad...
Lorin Bruckner, Data Visualization Services Librarian at University of North Carolina at Chapel Hill...
International audienceSince the release of the R package 'Luminescence' in 2012 the functionality of...
textabstractSWISH DataLab is a single integrated collaborative environment for data processing, expl...
Data visualization is an extremely valuable skill in science, finance and journalism. Learning to pr...
Statistics for Library and Information Services, written for non-statisticians, provides logical, us...
This video introduces the Shiny framework for R and shows how to run a Shiny application. Video orig...
This work presents a use case of building a data visualization interface for open-access repositorie...
This work presents a use case of building a data visualization interface for open access repositorie...
This article introduces how to use the Shiny App in R to create interactive data visualization (from...
[EN] The increasing availability of open data resources provides opportunities for research and data...
An interactive user interface application was created using the R statistical computing environment ...
SWANSTAT is a user-friendly web application and free license that developed from the R programming l...
This video examines a Shiny web application of an R cluster analysis. It looks at the user interfac...
The goal of this project is to explore the use of Shiny, a web-scripting front-end for R, for making...
A análise de dados ganhou relevância significativa no mundo atual. À medida que aumenta a quantidad...
Lorin Bruckner, Data Visualization Services Librarian at University of North Carolina at Chapel Hill...
International audienceSince the release of the R package 'Luminescence' in 2012 the functionality of...
textabstractSWISH DataLab is a single integrated collaborative environment for data processing, expl...
Data visualization is an extremely valuable skill in science, finance and journalism. Learning to pr...
Statistics for Library and Information Services, written for non-statisticians, provides logical, us...
This video introduces the Shiny framework for R and shows how to run a Shiny application. Video orig...