However, in response to customer demand to be able to share many other forms of R- and Python-based content (in addition to Shiny applications), a few years ago we introduced a new product: RStudio Connect. Features include scheduled execution of reports and flexible security policies to bring the power of data science to your entire enterprise.įor several years, Shiny Server Pro has enabled data science teams to securely share their Shiny applications on a commercially supported platform. With RStudio Connect, you can share Shiny applications, R Markdown reports, dashboards and plots, as well as Python-based content, including Flask, Dash, Streamlit and Bokeh, in one convenient place with push-button publishing from the RStudio IDE. RStudio Connect is our flagship publishing platform for the work your teams create in R. In fact, a user can make it him/herself by using Shiny apps but the nature of the Rstudio is code-driven and the software graphical user interface is intended to help programmers and data scientists and not ordinary pople that like a menu-driven data analysis framework.Deploy on-premises or in your VPC (commercial) RStudio Connect Rstudio does not provide menu-driven support for data analysis. So it is a complete R environment for both Statisticians and Data scientists. Last but not least, it let to easily develop an R notebook to integrate code, graph, table, and documentation with the ability to export it to HTML, PDF, and Word formats. Furthermore, It facilitates creating R shiny apps and developing R packages. Moreover, It is integrated with GIT for easy version controlling inside of the Rstudio. It has a very nice user interface with advanced code highlighting, viewing data environment, help, and graphs in the same window. RStudio is an advanced Integrated Development Environment (IDE) for the R language.
Then I started to use RStudio and It was really a big step that makes me more productive.
PROSĪs a statistician, I have been an active user of the R statistical programming language since 2007, and I had insisted to use the legacy R GUI all these years until about two years ago. The software is great and its supporting website provides a lot of tutorials. In my opinion, Rstudio provides the best environment to be used by statisticians and data scientists.
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