Color Magic: Elevate Your ggplot Visuals with Expert Color Choices! скачать в хорошем качестве

Color Magic: Elevate Your ggplot Visuals with Expert Color Choices!

In this comprehensive tutorial, Dr. Padilla unravels the transformative potential of color in data visualizations using ggplot in R. As visuals play a pivotal role in communicating data insights, the choice of color can profoundly impact a viewer's understanding and perception. Focusing on categorical variables, the video sheds light on the nuances of color selection and its implications. With a hands-on approach, Dr. Padilla introduces the audience to the RColorBrewer package, demonstrating its power to generate empirically validated color palettes. This video serves as both a practical guide for enhancing visualizations and a deep dive into the science and aesthetics of color. Whether you're a novice looking to enhance your plots or an expert aiming to refine your skills, this tutorial promises valuable insights for all. Prior video:    • Mastering Axes in ggplot2: Visualize Data ...   Code for generating the data set used in this video: set.seed(123) df = data.frame(cbind( cbind( value1 = as.numeric(rnorm(20,0,1)), value2 = c(rnorm(10,0,1),rnorm(10,0,3)))), group = rep(c("A", "B"), each = 10)) 00:00 Intro 00:28 Categorical Color 02:30 ColorBrewer 04:29 Colorblind Friendly 06:21 Scale_color_brewer 07:48 Manual Color 08:56 Theme 09:51 Fill Ggplot cheatsheet: https://github.com/rstudio/cheatsheet... Dr. Padilla's Lab: https://vis.khoury.northeastern.edu/ Personal Site: http://www.lacepadilla.com/ Twitter:   / lacepadilla   LinkedIn:   / lace-padilla-27031939   The main source for R packages: https://cran.r-project.org/ Hadley Wickham's GitHub: https://github.com/hadley RStudio Community: https://community.rstudio.com/