Refactoring a pie chart with ggplot2 in R to make interpretation easier for readers (CC402) скачать в хорошем качестве

Refactoring a pie chart with ggplot2 in R to make interpretation easier for readers (CC402)

In this livestream, Pat refactors a set of pie charts from a paper recently published in Nature Microbiology. The figure panel consists of 8 pie charts showing the response of women with recurrent cystitis to an immunologic and an antibiotic. The goal was to restructure the pie charts to make them easier for the audience to interpret. Pat recreated the original pie charts and refactored them into a stacked bar plot and dotplot. He created the figures using R, dplyr, ggplot2, ggh4x, ggtext, readxl, DescTools, and other tools from the tidyverse. The functions he used from these packages included CochranArmitageTest, aes, arrange, case_when, column_to_rownames, coord_radial, count, download.file, drop_na, element_blank, element_text, facet_wrap, facet_wrap2, factor, filter, format, geom_col, geom_point, geom_text, ggplot, ggsave, if_else, inner_join, labs, library, list, map, margin, mutate, nest, paste0, pivot_longer, pivot_wider, position_dodge, position_stack, read_excel, rename_all, round, scale_fill_manual, scale_x_continuous, scale_y_discrete, select, seq, str_replace, str_to_title, strip_split, sum, theme, tidy, tolower, unique, unit, and unnest. 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/...