Скачать с ютуб Creating a labeled scatter plot in R with ggplot2 (CC157) в хорошем качестве

Creating a labeled scatter plot in R with ggplot2 (CC157)

A labeled scatter plot is an effective approach when you want to highlight something about data that you are measuring with two continuous variables. In this episode of Code Club, Pat shows how he would convert a slope chart into a labelled scatter plot to display the change in people's intention to receive the COVID-19 vaccine with data from 2020. He uses geom_point from ggplot2 to create the scatter plot and then shows how to add labels using geom_label or geom_label_repel (from ggrepel). Finally, he also uses geom_abline, coord_fixed, and geom_text to create a legend. The data depict the percentage of people in 15 countries who would be willing to receive the COVID-19 vaccine as of August and October of 2020. In this episode, Pat uses #ggplot2, #ggrepel, and #dplyr to make an labeled scatter plot. The accompanying blog post can be found at https://www.riffomonas.org/code_club/.... 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 taking an upcoming 3 day R workshop be sure to check out our schedule at https://riffomonas.org/workshops/ 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/ 0:00 Creating a labeled scatter plot 2:31 Creating scatter plot 4:50 Giving context to the data with coord_fixed and abline 6:37 Cleaning up theme settings 7:51 Adding a diagonal line with a legend 11:22 Adding labels to the points 15:51 Critique of figure