Created
May 16, 2022 02:59
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library(tidyverse) | |
#if not installed, install the colorspace package | |
#install.packages("colorspace") | |
library(colorspace) | |
#Your turn | |
#This is some data for a line chart | |
air <- | |
airquality %>% | |
filter(Month == 5) %>% | |
select(Temp, Ozone, Wind, Day) %>% | |
pivot_longer(cols = 1:3) | |
#take this chart, and change the color of the lines | |
#using a qualitative HCL color palette | |
ggplot(air) + | |
geom_line(aes(x = Day, y = value, color = name)) + | |
scale_fill_discrete_qualitative(palette = "Set 2") + | |
theme_minimal() | |
#take this plot and adjust the colors so that | |
#the bubbles are on a sequential scale using an HCL palette | |
ggplot(mtcars) + | |
geom_point(aes(x = wt, y = hp, color = mpg), size = 4, alpha = 0.8) + | |
scale_fill_continuous_sequential(palette = "Viridis") + | |
theme_minimal() | |
#generate some dummy data | |
x <- LETTERS[1:20] | |
y <- paste0("var", seq(1,20)) | |
data <- expand.grid(X=x, Y=y) | |
data$Z <- runif(400, -5, 5) | |
#adjust this heatmap so that the colors | |
#are a diverging scale using an HCL palette | |
ggplot(data, aes(X, Y, fill= Z)) + | |
geom_tile() + | |
scale_fill_continuous_diverging(palette = "Tropic") + | |
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