![]() So, you see that we do not have to leave our R universe to communicate our projects to the world. These files I can then simply push to some server of my choice and access the generated web pages through the web. Luckily, the bookdown package does all the heavy-lifting for me and I only need to worry about the R code as the HTML and CSS files will be generated for me. This is particularly true when it comes down to publishing something on the internet like these lecture notes here.īasically, the internet is run by a few core programming languages such as HTML 86 and CSS 87 which I know embarrassingly little about. One major advantage of this is that a simple R package can enable us to do stuff we would not be able to do otherwise. Thankfully, we can let R handle the conversion to different formats and focus on the core of our project instead.īasically, for a lot of formats there is some R package that can handle the conversion and all we need to do is learn some new commands. However, this would have been torture as it would involve having to somehow transfer the R code to be displayed to LaTeX and save all plots manually to include them in my LaTeX file. Obviously, all of this can be done outside of R.Įven if you have done your data analysis (or whatever it is you want to present) in R, this does not mean that you need to present your project using R.įor example, I could have written these lecture notes in LaTeX and generated a PDF as is usual in mathematics. Books/lecture notes/thesis: Sometimes your R project comes down to writing a full-sized book, a thesis or in my particular case lecture notes.Then, you may want to communicate your findings via a new blog entry.įor example, Julia Silge’s blog regularly analyses data sets using tidymodels which can help you to learn more about this framework. ![]() ![]() Blog entry: Possibly, you are into blogging and like to share your R project with everyone on the internet.Dashboards: Nowadays these are quite ubiquitous and can help to communicate a lot of data.įor instance, the John Hopkins Covid-19 dashboard aggregates vast amounts of world-wide data on Covid-19 so that anyone who wishes to do so can explore the data interactively.Slides: As the name implies, you may put pieces of a data analysis into slides so that you can give a presentation to demonstrate your main findings.Reports: These are formatted texts documenting maybe a data analysis possibly including intermediate steps, plots, tables and code.After you have spent hours working on your R project it becomes time to emerge from your dark chamber and present your work to the world, i.e. boss/coworker/friend/people on the internet.Īt this point in time, it then becomes time to figure out in what form you want to present your work.
0 Comments
Leave a Reply. |