Knowledge transfer workshop: R Shiny apps for Deutsche Bahn Analytics
Fast provision of analysis results
Kind of data
KPIs such as number of passengers, quality indicators or punctuality
Generation of dashboards directly from R
DB Analytics is the specialist for statistical and mathematical methods within Deutsche Bahn AG and relies on the open source programming language R. DB Analytics develops dashboards for the information transfer to the specialist departments and the Executive Board, with which KPIs such as passenger numbers, quality indicators or punctualities can be professionally visualized. In order to keep the analytical workflow consistent and avoid software breakdowns, an option was sought to enable dashboard creation directly from R.
In order to meet the above mentioned requirements, the Shiny framework should be evaluated. Shiny can be used to create interactive web applications with R code, which can be used intuitively by users without programming knowledge. For the efficient and practice-oriented acquisition of knowledge, an exemplary Shiny app should be created in a hands-on workshop.
Our Solution: Data Science Training
Together with DB Analytics employees, eoda has prototypically replicated an existing dashboard solution with Shiny. When selecting the dashboard, it was paid attention to the fact that it ensured meeting the complex requirements, such as linked filters or interactively linked user interface elements. During the joint and agile development of the R Shiny app, the individual development steps and the underlying concepts were intensively discussed with the employees. Furthermore, the workshop gave an overview of methods and packages that support the creation of high-quality Shiny applications.
After the workshop with eoda, the DB Analytics team is able to quickly and attractively make analysis results available to other employees in the group with Shiny. The evaluation of R Shiny was successfully completed.
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