![]() Practical Guide To Principal Component Methods in R by A.Practical Guide to Cluster Analysis in R by A.Free Training - How to Build a 7-Figure Amazon FBA Business You Can Run 100% From Home and Build Your Dream Life! by ASM.Psychological First Aid by Johns Hopkins University.Excel Skills for Business by Macquarie University.Introduction to Psychology by Yale University.Business Foundations by University of Pennsylvania.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.Scale_fill_manual(values = c("grey80", "gre圓0"))Ĭoursera - Online Courses and Specialization Data science Width = 0.2, position = position_dodge(0.8) Position = position_dodge(0.8), width = 0.7)+Īes(ymin = len, ymax = len+sd, group = supp), Geom_bar(aes(fill = supp), stat = "identity", Geom_line(aes(linetype = supp, group = supp))+Īes(ymin = len-sd, ymax = len+sd, group = supp), Summarise( sd = sd(len), len = mean(len)) Geom_errorbar(aes(ymin = len, ymax = len+sd), width = 0.2) ![]() Geom_bar(stat = "identity", fill = "lightgray", color = "black") + Geom_errorbar( aes(ymin = len-sd, ymax = len+sd),width = 0.2) + Basic line and bar plots with error bars.Summarise(sd = sd(len, na.rm = TRUE), len = mean(len)) Geom_col(aes(color = supp, fill = supp), position = position_dodge(0.8), width = 0.7) + Geom_col(aes(color = supp, fill = supp), position = position_stack()) + # Stacked bar plots of y = counts by x = cut, Lollipop chart: Lollipop is an alternative to bar charts when you have large data sets.Īes(x = rowname, xend = rowname, y = 0, yend = mpg),ĭf3 Mutate(rowname = factor(rowname, levels = rowname)) Geom_text(aes(label = mpg), nudge_y = 2) + # change fill color by groups and add text labels Ggplot(df, aes(x = reorder(rowname, mpg), y = mpg)) + Margin.params = list(fill = "Species", color = "black", size = 0.2) ![]() Iris, x = "Sepal.Length", y = "Sepal.Width",Ĭolor = "Species", size = 3, alpha = 0.6, # Grouped Scatter plot with marginal density plots Scale_size(range = c(0.5, 12)) # Adjust the range of points size Geom_point(aes(size = qsec), alpha = 0.5) + In a bubble chart, points size is controlled by a continuous variable, here qsec. Wherever there is more points overlap, the size of the circle gets bigger. The overlapping points are randomly jittered around their original position based on a threshold controlled by the width argument in the function `geom_jitter()
0 Comments
Leave a Reply. |