I’ve created a series of posts about data visualization with ggplot2 in R, where I discuss key data visualization concepts, explore various plot types, and showcase useful ggplot2 extensions. Check out some of these posts: 🔹 Animate your data using gganimate: https://www.linkedin.com/posts/joachim-schork_ggplot2-statistical-bigdata-activity-7258010549110587392-Zmxh/ 🔹 Create publication-ready plots using ggpubr: https://x.com/JoachimSchork/status/1852401656367067638 🔹 The grammar of graphics:

The wide range of ggplot2 extensions for data visualization in R is truly impressive. Even better, these extensions usually work seamlessly together, making it easy to enhance your plots. Below is an example of an animated ggplot2 plot created using the gganimate and ggblend extensions. Just brilliant! The visualization shown below is taken from the ggblend package website. You can also find the code there: https://mjskay.github.io/ggblend/ If you’re interested in mastering data visualization in

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