Adding professional polish to your data visualizations (CC398) скачать в хорошем качестве

Adding professional polish to your data visualizations (CC398)

In this livestream, Pat refactors a plot from a paper recently published in Nature Microbiology that had considerable room for improvement. This plot of LDA values generated using LEfSe is frequently used in the microbiome literature. Here he refactors the plot to make it easier to interpret and add some professional polish. He created the figure using R, dplyr, ggplot2, ggtext, and other tools from the tidyverse. The functions he used from these packages included aes, annotate, case_when, coord_cartesian, element_blank, element_line, element_text, fct_reorder, geom_col, geom_richtext, ggplot, ggsave, if_else, labs, library, margin, mutate, scale_fill_identity, scale_x_continuous, seq, str_remove, str_replace, theme, tibble, and unit. The code that Pat generated in this episode can be found at https://riffomonas.org/code_club/2026.... The original Nature Microbiology article can be found at https://www.nature.com/articles/s4156.... If you have a figure that you would like to see me discuss in a future newsletter and episode of Code Club, email me at pat@riffomonas.org! Want more practice on the concepts covered in Code Club? You can sign up for my weekly newsletter at https://shop.riffomonas.org/youtube to get practice problems, tips, and insights. If you're interested in purchasing a video workshop be sure to check out https://riffomonas.org/workshops/ Support Riffomonas by becoming a Patreon member!   / riffomonas   You can also find complete tutorials for learning R with the tidyverse using... Microbial ecology data: https://www.riffomonas.org/minimalR/ General data: https://www.riffomonas.org/generalR/ If you want to cite this video, please consider citing https://journals.asm.org/doi/10.1128/...