Flexdashboard

Open-source, R-based application that converts video captions from the WebVTT format into plain text, automatically removing timestamps and formatting the content into accessible documents.

Open-source, R-based web application for creating experimental data sets with customisable structures, including between-group and within-participant variables that can be categorical or continuous.

This project offers free activities to learn and practise reproducible data presentation. Pablo Bernabeu organises these events in the context of a Software Sustainability Institute Fellowship. Programming languages such as R and Python offer free, powerful resources for data processing, visualisation and analysis. Experience in these programs is highly valued in data-intensive disciplines. Original data has become a public good in many research fields thanks to cultural and technological advances. On the internet, we can find innumerable data sets from sources such as scientific journals and repositories (e.g., OSF), local and national governments, non-governmental organisations (e.g., data.world), etc. Activities comprise free workshops and datathons.

This app presents linguistic data over several tabs. It combines the R Markdown-based user interface of Flexdashboard with a Shiny back-end that lets users download the data they select as CSV files and the plots as PNG images. One of the hardest nuts to crack was changing the orientation of rows and columns without breaking the reactable tables. Flexdashboard also made it possible to use quite different formats in different tabs.

Dashboards for data visualisation, such as R Shiny and Tableau, allow the interactive exploration of data by means of drop-down lists and checkboxes, with no coding required from the final users. These web applications run on internet browsers, allowing for three viewing modes, catered to both analysts and the public at large: (1) private viewing (useful during analysis), (2) selective sharing (used within work groups), and (3) internet publication. Among the available platforms, R Shiny and Tableau stand out due to being relatively accessible to new users. Apps serve a broad variety of purposes. In science and beyond, these apps allow us to go the extra mile in sharing data. Alongside files and code shared in repositories, we can present the data in a website, in the form of plots or tables. This facilitates the public exploration of each section of the data (groups, participants, trials…) to anyone interested, and allows researchers to account for their proceeding in the analysis.