IBM Data Science Professional Certificate by IBM.Python for Everybody by University of Michigan.Google IT Support Professional by Google.The Science of Well-Being by Yale University. AWS Fundamentals by Amazon Web Services.Epidemiology in Public Health Practice by Johns Hopkins University.Google IT Automation with Python by Google.Specialization: Genomic Data Science by Johns Hopkins University.Specialization: Software Development in R by Johns Hopkins University.Specialization: Statistics with R by Duke University.Specialization: Master Machine Learning Fundamentals by University of Washington.Courses: Build Skills for a Top Job in any Industry by Coursera.Specialization: Python for Everybody by University of Michigan.Specialization: Data Science by Johns Hopkins University.Course: Machine Learning: Master the Fundamentals by Stanford.# Barplot using RColorBrewerīarplot(c(2,5,7), col = brewer.pal(n = 3, name = "RdBu"))Ĭoursera - Online Courses and Specialization Data science The function brewer.pal() is used to generate a vector of colors. Sp + scale_color_brewer(palette = "Dark2") scale_color_brewer() for lines and pointsīp + scale_fill_brewer(palette = "Dark2").scale_fill_brewer() for box plot, bar plot, violin plot, dot plot, etc. Two color scale functions are available in ggplot2 for using the colorbrewer palettes: You can also view a single RColorBrewer palette by specifying its name as follow : # View a single RColorBrewer palette by specifying its nameĭ(n = 8, name = 'Dark2')īrewer.pal(n = 8, name = "Dark2") # "#1B9E77" "#D95F02" "#7570B3" "#E7298A" "#66A61E" "#E6AB02" "#A6761D" To display only colorblind-friendly brewer palettes, use this R code: (colorblindFriendly = TRUE)
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