Here is the process to use conditional color on your
# library library(ggplot2) library(dplyr) # Create data (this takes more sense with a numerical X axis) x <- seq(0, 2*pi, length.out=100) data <- data.frame( x=x, y=sin(x) + rnorm(100, sd=0.2) ) # Add a column with your condition for the color data <- data %>% mutate(mycolor = ifelse(y>0, "type1", "type2")) # plot ggplot(data, aes(x=x, y=y)) + geom_segment( aes(x=x, xend=x, y=0, yend=y, color=mycolor), size=1.3, alpha=0.9) + theme_light() + theme( legend.position = "none", panel.border = element_blank(), ) + xlab("") + ylab("Value of Y")
The lollipop chart is one of my favourite. There is so much to do with it and it is under-utilized in favor of barplot. Visit the dedicated section for more examples produced with
R, or data-to-viz to learn about the available variations and caveats to avoid.