plotly isĪ graphing library for making interactive, high-quality graphs. ggplotly converts a ggplot2 object to a plotly object. Many people who work with R for data analysis use the powerful ggplot2 package to create graphs and charts. Is a table of information from the IPEDS 2020 Academic Libraries Survey Library and IPEDS 2020 Institutional Characteristics Survey. Tables can be sorted, searched, filtered, and customized in appearance and pagination specifications. The DT package provides an R interface to the JavaScript libraryĭataTables and supports creating interactive tables. Interactivity is not only useful for graphs or charts but also can improve the user experience for data tables. To view the interactive sample reports linked below, click on each link which takes you RPubs Examples of HTML WidgetsĪlthough others are worth exploring, this section highlights a few of the HTML widget packages available: DT, ggplotly, crosstalk, leaflet, and flexdashboard. However, R Markdown is still available to use. It is worth noting that Quarto is the recently released successor to R Markdown and supports languages besides R, suchĪs Python and ObservableJS. The document can be viewed and rendered, or “knitted,” through the RStudio IDE (Integrated Development Environment). An R Markdown document combines markdown (a markup language) with “chunks” of embedded R code. The examples below were created with R Markdown. HTML widgets can be used at the R console or within R Markdown, Quarto, or Shiny web applications. It is also helpful to keep in mind that because R is open source, users can develop their own HTML widgets and packages to create new functionality that suits their needs. Tools in the institutional researcher’s analytic toolbox. The widget features and customization options are not always as robust as paid applications such as Tableau or PowerBI, but HTML widgets for R are free and open source and can be useful Some knowledge of the R programming language is required when using HTML widgets and canīe learned through various free online resources and tutorials. The underlying, disaggregated dataset is not shared, an important feature when working with sensitive data. That can then be shared and opened in a web browser. HTML widgets for R, on the other hand, can be used in R Markdown to render an HTML file Produce interactive visualizations, they need to be hosted on a server in order to disseminate, which can add complexity when reports should not be made public. While R Shiny apps are powerful and can also They enable users to create visualizations with interactive features, such as sorting, filtering, and tooltips. HTML widgets are R packages using JavaScript (JS) libraries that are not available natively to R. R environment for producing interactive data reports. Interactive web applications and interactive documents.” This article describes a free set of packages, or “HTML widgets,” to use within the John Coene, the author of JavaScript for R (2021), writes, “The R programming language has been propelled into web browsers with the introduction of packages such as Shiny (Chang, Cheng,Īllaire, et al., 2021) and R Markdown (Allaire et al., 2021) which have greatly improved how R users can communicate complex insights by building Users of R, in fact, have seen many developments in tools for creating interactive data visualizations. The R environment is another option for creating interactive visualizations and may be particularly useful for institutional research offices that already use R for data analysis or data management tasks. Tableau and PowerBI, for example, are popular in the institutional research community, but these can be expensive and require a Many tools allow analysts to create interactive tables or charts. Allowing users to interact with these charts or tables by sorting or filtering, for instance,Ĭan reveal trends or highlight a particular subgroup. Institutional researchers are often tasked with synthesizing large amounts of data, perhaps by visualizing it in charts or summarizing it in tabular format.
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