statisical machine learning.

R provides visualization tools like ggplot() which is the base function for creating all plots and mapping variables using aes() for x and y axes. It includes plot types like geom_bar(), geom_histogram(), geom_boxplot(), geom_line(), and geom_point() to visualize different data patterns. Customization commands like labs(), ggtitle(), theme(), color, fill, and facet_wrap() help improve plot appearance and comparison of groups. Other useful visuals include geom_density(), geom_violin(), geom_smooth(), geom_jitter(), and base R plots like plot(), hist(), and boxplot() for quick analysis.

15 nisan