Jan Broder Engler
LightNews LightNews
banner
jbengler.de
Jan Broder Engler
@jbengler.de
1.4K followers 660 following 470 posts
Scientist and software developer. Creator of tidyplots.org. Website jbengler.de.
Posts Replies Media Videos
Pinned
jbengler.de
Jan Broder Engler @jbengler.de · Dec 6
Hey educators, tidyplots.org is great for teaching students data visualization because it is

🕊️ Free and open-source
🚀 Easy, intuitive and fast
💾 Loaded with demo datasets
🏆 Embracing best practices
🌈 Beautiful

#rstats #phd #dataviz #education
jbengler.de
This is how you can generate a custom color scheme in #tidyplots 🌈

#rstats #dataviz #phd
library(tidyplots) new_color_scheme( c("#085578","#538085","#faf1e2","#e3baaa","#e47e8c","#ffaa6a"), name = "My custom color scheme")
November 27, 2025 at 5:27 PM
jbengler.de
This is how you can preview a color scheme in #tidyplots 🌈

#rstats #dataviz #phd
November 26, 2025 at 4:42 PM
jbengler.de
Thank you for citing #tidyplots 🙏

Steven E. Pilley et al. A metabolic atlas of mouse aging. Cell Metabolism (2025).

doi.org/10.1016/j.cm...

#rstats #dataviz #phd
November 26, 2025 at 1:42 PM
jbengler.de
Thank you for citing #tidyplots 🙏

Julio Cesar Santos-Pelaez et al. Synergistic effects of potassium and gibberellin on the yield and quality of yellow pitahaya fruits in the Peruvian Amazon, Frontiers in Agronomy (2025).

doi.org/10.3389/fagr...

#rstats #dataviz #phd
Frontiers | Synergistic effects of potassium and gibberellin on the yield and quality of yellow pitahaya (Hylocereus megalanthus) fruits in the Peruvian Amazon
The cultivation of yellow pitahaya (Hylocereus megalanthus) is increasing in tropical regions due to its nutritional value and market potential. Yet, agronom...
doi.org
November 26, 2025 at 1:42 PM
jbengler.de
This is how you can visualize gene expression data in #tidyheatmaps 🤩

jbengler.github.io/tidyheatmaps/

#rstats #dataviz #phd
library(tidyheatmaps) tidyheatmap(df = data_exprs, rows = external_gene_name, columns = sample, values = expression, scale = "row", annotation_col = c(sample_type, condition, group), annotation_row = c(is_immune_gene, direction), gaps_row = direction, gaps_col = group )
November 21, 2025 at 5:16 PM
jbengler.de
This is how you can change the color scheme in #tidyplots 🌈

#rstats #dataviz #phd
library(tidyplots) spendings |> tidyplot(x = category, y = amount, color = category) |> add_sum_bar() |> adjust_x_axis(rotate_labels = TRUE) |> sort_x_axis_levels() |> adjust_colors(new_colors = colors_discrete_candy)
November 20, 2025 at 5:25 PM
jbengler.de
This is how you can guide attention in #tidyplots 🎯

#rstats #dataviz #phd
library(tidyplots) spendings |> tidyplot(x = category, y = amount, color = category) |> add_sum_bar() |> adjust_x_axis(rotate_labels = TRUE) |> sort_x_axis_levels() |> adjust_colors(new_colors = c("Health" = "#ff3b30"), na.value = "lightgrey")
November 19, 2025 at 2:49 PM
jbengler.de
This is how you can add data values in #tidyplots 🏆

#rstats #dataviz #phd
library(tidyplots) spendings |> tidyplot(x = category, y = amount, color = category) |> add_sum_bar(alpha = 0.2) |> add_sum_dash() |> add_sum_value(accuracy = 1, color = "black") |> adjust_x_axis(rotate_labels = TRUE) |> sort_x_axis_levels()
November 18, 2025 at 7:45 PM
jbengler.de
This is how you can sort axis levels in #tidyplots 🤩

#rstats #dataviz #phd
library(tidyplots) spendings |> tidyplot(x = category, y = amount, color = category) |> add_sum_bar() |> adjust_x_axis(rotate_labels = TRUE) |> sort_x_axis_levels()
November 17, 2025 at 6:17 PM
jbengler.de
This is how you can rename axis levels in #tidyplots 🎉

#rstats #dataviz #phd
library(tidyplots) study |> tidyplot(x = treatment, y = score, color = treatment) |> add_violin() |> add_data_points_beeswarm(white_border = TRUE) |> rename_x_axis_levels(new_names = c( "A" = "Dog", "B" = "Cat", "C" = "Hamster", "D" = "Dinosaur"))
November 14, 2025 at 5:11 PM
jbengler.de
This is how you can reorder axis levels in #tidyplots 🚀

#rstats #dataviz #phd
library(tidyplots) study |> tidyplot(x = treatment, y = score, color = treatment) |> add_violin() |> add_data_points_beeswarm(white_border = TRUE) |> reorder_x_axis_levels("C", "D", "A", "B")
November 13, 2025 at 11:12 PM
jbengler.de
In its first year tidyplots.org has become the go-to data viz for many life science researchers, got 620+ stars on Github, ~30K CRAN downloads, and 11 citations. Thank you for using, sharing, citing, and feedback! There is more to come 🤩

#rstats #dataviz #phd
November 8, 2025 at 9:24 AM
jbengler.de
This is how you can add data and summary statistics to #tidyplots 🤩

#rstats #dataviz #phd
October 21, 2025 at 4:11 PM
jbengler.de
This is how you can save intermediate stages of #tidyplots 🦊

#rstats #dataviz #phd
library(tidyplots) study |> tidyplot(x = treatment, y = score, color = treatment) |> add_mean_dash() |> save_plot("stage_1.pdf") |> add_sem_errorbar() |> save_plot("stage_2.pdf") |> add_data_points_beeswarm() |> save_plot("stage_3.pdf")
October 16, 2025 at 4:45 PM
jbengler.de
This is how you can visualize time course data in #tidyplots ⏱️

#rstats #dataviz #phd
library(tidyplots) time_course |> tidyplot(x = day, y = score, color = treatment) |> add_mean_line() |> add_mean_dot() |> add_sem_ribbon()
October 14, 2025 at 3:58 PM
jbengler.de
Thank you for citing #tidyplots 🙏

Marcel S Woo et al. Glia inflammation and cell death pathways drive disease progression in preclinical and early AD. EMBO Molecular Medicine (2025).

doi.org/10.1038/s443...

#rstats #dataviz #phd
Glia inflammation and cell death pathways drive disease progression in preclinical and early AD | EMBO Molecular Medicine
imageimageGlia activation, inflammation, cell death pathways and neuronal pathologies are associated with disease progression in preclinical AD. Activation of glia cells and cell death pathways maintain a vicious cycle of neuroinflammation that ...
doi.org
October 14, 2025 at 3:03 PM
jbengler.de
This is how to get started with #tidyplots 🚀

tidyplots.org/getstarted

#rstats #dataviz #phd
October 10, 2025 at 4:24 PM
jbengler.de
This is how you can generate lollipop charts in #tidyplots 🍭

#rstats #dataviz #phd
library(tidyplots) spendings |> tidyplot(x = amount, y = category, color = category) |> add_sum_bar(width = 0.05) |> add_sum_dot()
October 10, 2025 at 4:21 PM
jbengler.de
This is how you can set a default style in #tidyplots 🎨

jbengler.github.io/tidyplots/re...

#rstats #dataviz #phd
library(tidyplots) # Define style my_style <- function(x) x |> adjust_colors(colors_discrete_candy) |> adjust_font(family = "mono") |> adjust_size(height = 30) # Set global options tidyplots_options(my_style = my_style) study |> tidyplot(x = group, y = score, color = dose) |> add_mean_bar() # Reset global options tidyplots_options()
October 9, 2025 at 3:48 PM
jbengler.de
This is how you can add normal data ellipses in #tidyplots 🐣

#rstats #dataviz #phd
library(tidyplots) pca |> tidyplot(x = pc1, y = pc2, color = group) |> add_data_points() |> add_ellipse()
October 7, 2025 at 2:37 PM
jbengler.de
Being free and open-source, this is how you can support #tidyplots ❤️

tidyplots.org
github.com/jbengler/tid...

#rstats #dataviz #phd
October 7, 2025 at 2:34 PM
jbengler.de
This is how you can preview a subset of the dataset in #tidyplots 🔎

#rstats #dataviz #phd
library(tidyplots) gene_expression |> tidyplot(x = group, y = expression, color = group) |> add_violin() |> add_data_points_beeswarm(white_border = TRUE) |> view_plot(data = filter_rows(external_gene_name == "Apol6"), title = "Apol6")
October 6, 2025 at 6:12 PM
jbengler.de
This is how you can test selected comparisons in #tidyplots ✅

#rstats #dataviz #phd
library(tidyplots) study |> tidyplot(x = treatment, y = score, color = treatment) |> add_mean_dash() |> add_sem_errorbar() |> add_data_points() |> add_test_pvalue(comparisons = list(c(1,3),c(2,4)))
October 3, 2025 at 6:22 PM
jbengler.de
This is how you can do paired testing in #tidyplots 🍒

#rstats #dataviz #phd
library(tidyplots) x <- c(2.3, 4.5, 6.3, 3.4, 7.8, 6.7) df <- data.frame( x = c(x, x + c(0.8, 0.75)), group = paste0("g", rep(c(1, 2), each = 6)), batch = paste0("b", c(1:6, 1:6)), shuffle = paste0("c", c(1:6, 6:1)) ) df |> tidyplot(group, x, color = group) |> add_boxplot() |> add_data_points() |> add_test_pvalue(paired_by = batch) |> add_line(group = batch, color = "black")
October 2, 2025 at 6:54 PM
jbengler.de
Thank you for citing #tidyplots 🙏

Marcel S. Woo et al. The immunoproteasome disturbs neuronal metabolism and drives neurodegeneration in multiple sclerosis. Cell (2025).

www.cell.com/cell/fulltex...

#rstats #dataviz #phd
The immunoproteasome disturbs neuronal metabolism and drives neurodegeneration in multiple sclerosis
Neuronal proteasomal dysfunction is a hallmark of neuroinflammatory and neurodegenerative diseases. This study reveals that the interferon-induced immunoproteasome drastically decreases proteasomal ac...
www.cell.com
October 2, 2025 at 6:49 PM