Jan Broder Engler
@jbengler.de
Scientist and software developer. Creator of tidyplots.org and sepacode.app. Website jbengler.de.
This is how you can visualize gene expression data in #tidyheatmaps 🤩 https://jbengler.github.io/tidyheatmaps/ #rstats #dataviz #phd
This is the grammar of dispersion measures in #tidyplots 🤩 You can mix and match as you like. #rstats #dataviz #phd
These are some examples of #tidyplots built-in color schemes 🌈 Feel free to create your own! #rstats #dataviz #phd
This book by Kang Wu is all about #tidyplots 🤩 It’s packed with beautiful example plots and their code. Kang really pushes #tidyplots to its limits—and sometimes even beyond 😂 tidyplots-book.pages.dev @wukang.bsky.social #rstats #dataviz #phd
This is the anatomy of #tidyplots 🩻 They come in 50 x 50 mm, but can be resized to your linking using `adjust_size()` 🧰 #rstats #dataviz #phd
Here are some #tidyplots use cases for data journalism 🔥 Complete with data and code 🚀 https://tidyplots.org/use-cases/#data-journalism #rstats #dataviz #phd
This is how you can adjust the plot size in #tidyplots 🔥 All measures are in mm. #rstats #dataviz #phd
In case you ever wondered about the differences between magrittr pipe and base pipe 🤔 This table is taken from a great stackoverflow answer by @GeorgKindermann https://stackoverflow.com/questions/67633022/what-are-the-differences-between-rs-native-pipe-and-the-magrittr-pipe #rstats #dataviz #phd
This is how you can highlight a subset of the dataset in #tidyplots 🔥 https://jbengler.github.io/tidyplots/reference/all_rows.html #rstats #dataviz #phd
This is how you can plot z-scores in #tidyplots heatmaps 🚀 This is especially useful when you want to focus on the dynamics within rows or columns. #rstats #dataviz #phd
This is how you can use plotmath expressions in #tidyplots 🤓 https://jbengler.github.io/tidyplots/articles/Advanced-plotting.html#special-characters #rstats #dataviz #phd
This is how you can add the mean and standard deviation to summarize the raw data points in your #tidyplots 🤩 Alternatively, you can also display the median, standard error of the mean, 95% confidence interval, and more. #rstats #dataviz #phd
This is how you can remove elements from #tidyplots 🔥 https://jbengler.github.io/tidyplots/reference/index.html#remove #rstats #dataviz #phd
These are the discrete color schemes in #tidyplots 🌈 The default scheme `colors_discrete_friendly` is inspired by Okabe and Ito (2008) and was designed to be accessible for individuals with color vision deficiencies. #rstats #dataviz #phd
This is the grammar for summary statistics in #tidyplots 🤩 You can mix and match as you like. #rstats #dataviz #phd
This is how you can label selected data points in #tidyplots 🔥 In this case, we label the three animals with the highest weight using `max_rows()`. #rstats #dataviz #phd
This is how you can define a custom style to reuse it across several #tidyplots 🤩 #rstats #dataviz #phd
Thank you for citing #tidyplots 🙏 Ricardo Kosch et al. Malignancy-Associated Hemophagocytic Lymphohistiocytosis: Clinical Characteristics, Treatment Patterns, and Survival Outcomes ... Clinical Lymphoma Myeloma and Leukemia (2026). doi.org/10.1016/j.cl... #rstats #dataviz #phd