Jun 26, 2025
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R Shiny yang cukup penting bagi Anda dalam pembuatan aplikasi berbasis web yang lebih sederhana. Meskipun pembuatan aplikasi tidak bisa melalui tahapan yang sangat sederhana namun dengan aplikasi ini hal tersebut bisa lebih disederhanakan sehingga lebih mudah digunakan. Aplikasi R Shiny Olah Data Penelitian Skripsi Tesis Disertasi
After days of programming and graphic design I've finally finished my Rshiny app for my final grad school project!
It's a relief
Text Analytics with R | Automating Wordcloud in Shiny - Part 2 | Shiny W...
HowTo Install R Shiny Server in Centos 7/RHEL 7 Guide
HowTo Install R Shiny Server in Centos 7/RHEL 7 Guide
Shiny is an R package that makes it easy to build interactive web applications (apps) straight from R. This lesson will get you started building Shiny apps right away. Opensource and Enterprise ready professional software for the R Community. In this Article we are going to see HowTo install R shiny Server in Centos 7/RHEL 7.
It’s widely used to generate HTML 5+CSS application by writing R…
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Make landing pages using R and Shiny!
shinyLP
Bootstrap Landing Home Pages for Shiny
The goal of shinyLP is to provide R functions that wrap HTML Bootstrap code to enable the design and layout of informative landing home pages for Shiny applications. A Landing page is the first page of a web app or website that a user interacts with to learn the purpose, usage and status of the tool. The user experience and interface are important features to consider when developing Shiny applications to direct especially non-technical users how to use the application. [see full docs on github]
Shiny is a great tool for interactive exploration (and not only for that). But, due to its architecture, all objects/results that are generated are stored in a separate R process so you cannot access them easily from your R console.
Shiny is a great tool for interactive exploration (and not only for that). But, due to its architecture, all objects/results that are generated are stored in a separate R process so you cannot access them easily from your R console.