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For our open lab this week, we’ll be doing an R showcase. The goal will be to learn a little bit about what R can do, see some demos and then roll up our sleeves and do a little bit of work in R and Power BI.

R has a number of built in demos and vignettes – a bit more info on how these work here:

To see which demos and vignettes you have currently available in R (based on installed packages), you can type:

demo(package = .packages(all.available = TRUE))
vignette(all = TRUE)

To see a particular demo/vignette, use the name of the demo/vignette and the name of the package:

demo(“lattice”, package = “lattice”)
vignette(“ggplot2-specs”, package = “ggplot2”)

R vs Python – an infographic:

Connecting R to PowerBI

Shiny is used to publish R results on the web. Some nice examples of Shiny dashboards:

Learning about R Markdown:

And an interesting article, originally published in 2017, but partially updated in 2019, comparing a wide variety of data science software in terms of their uptake in industry, with a bit of a focus on R:

Post Author: Jen Schellinck

Jen Schellinck is the principal of Sysabee and an adjunct professor at Carleton's Institute of Cognitive Science. She founded Sysabee in 2012 with the goal of taking analysis techniques from machine learning and systems modeling and making these available to organizations who are seeking to gain the benefits of technology supported analysis and decision making. For each project, she draws from a pool of expert consultants to create a team customized to the specific needs of the project. She is also the founding member of the Data Science Experts Group, an association of data professionals that build flexible, customized solutions for data-driven companies and organizations. She remains an active participant in academic research via Carleton’s Cognitive Modeling Lab.