No more copy and paste problems (see the Teams chat message above). A dynamic report means no manual updating of text, graphs, and figures. But to help you come to a decision, here are some of the strengths and weaknesses of dynamic reports compared to traditionally-produced static reports: Ultimately, it’s for you to decide whether automating your report will be worth the investment of time. This would have been avoided with a dynamic report.

If you need your report to update more than about once a day, you should consider building a dashboard instead ( Power BI, R/ Shiny, or Dash)Ī recent personal example of a copy and paste error encountered while writing a short report. it won’t teach you how to make real-time dashboards.It’s a learning resource, rather than a pre-packed replacement it’s definitely not a production-ready replacement for your existing reports.Instead, it covers some simple examples of common tasks as a way of familiarising you with a different workflow it’s not an introduction to everything that you might like to do with a data-driven report either.R is deep (like most analytic platforms), and this training covers only a little bit of the available functionality it’s not a full introduction to working in R/ Rmarkdown.and are open to gaining some basic programming experience.and has some time to spend reworking this report-writing process.and would like to reduce the time spent on this routine work over the medium-term (months).is currently spending lots of time manually updating reports in health, care, or housing.This training is intended for someone who:

Rstudio cloud github