Visualizing the The Economist's Glass Ceiling Index in R with ggplot2 and ggborderline (CC353) скачать в хорошем качестве

Visualizing the The Economist's Glass Ceiling Index in R with ggplot2 and ggborderline (CC353)

Pat uses R to recreate the variation in The Economist's Glass Ceiling Index between 2016 and 2024 with help from the tidyverse. To pull this off he uses the dplyr, ggplot2, showtext, ggtext, ggborderline, and glue packages. The functions he uses from these packages include aes, as.numeric, case_when, coord_cartesian, element_blank, element_line, element_text, factor, filter, font_add_google, geom_borderline, geom_richtext, geom_vline, ggplot, ggsave, glue, if_else, labs, library, margin, mutate, pivot_longer, rescale, scale_color_gradientn, scale_x_continuous, scale_y_continuous, select, showtext_auto, showtext_opts, theme, and tribble. The newsletter describing this visualization at a 30,000 ft view can be found at https://shop.riffomonas.org/posts/vis.... You can find the data he uses and the code he developed in this episode at https://www.riffomonas.org/code_club/.... You can find the original article at https://www.economist.com/graphic-det... and a free archived version at https://archive.is/009Rb. 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 [email protected]! 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/... 0:00 Introduction 6:23 Creating line plot of rankings 8:54 Modifying appearance of axes and background 17:59 Creating thick lines with white edges 26:14 Coloring the lines by the 2024 rankings 31:29 Adding country labels for 2016 & 2024 ranks 42:16 Adjusting appearance of OECD data 47:50 Masking the line endings