
Elevating data visualization beyond boilerplate defaults can make analysis far more impactful and memorable. This beginner course guides R practitioners through custom ggplot2 styling and thematic tweaks within the tidyverse, finishing with custom CSS integration in RMarkdown to produce publication-grade, shareable reports.
R users and data analysts looking to build distinct, aesthetically refined graphics and styled reports for social media or publication.
They say that a picture is worth a thousand words. Indeed, successfully promoting your data analysis is not only a matter of accurate and effective graphics, but also of aesthetics and uniqueness. This course teaches you how to leverage the power of ggplot2 themes for producing publication-quality graphics that stick out from the mass of boilerplate plots out there. It shows you how to tweak and get the most out of ggplot2 in order to produce unconventional plots that draw attention on social media. In the end, you will combine that knowledge to produce a slick and custom-styled report with RMarkdown and CSS – all of that within the powerful tidyverse.
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This course is free to enrol.

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