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The shape of data
- Chart types
- How to choose a chart
- Visual metaphor
- Memorability vs. speed of comprehension
- Identifying your audience
- Data encoding process
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Layout
- Grids, borders, lines
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- Grids, borders, lines, and axes examples and exercises
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Typography
- What is typography and why does it matter?
- Typographic hierarchy
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- ggtext examples and exercises
- Pairing fonts
- Typography beyond charts
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Color
- Color palettes
- Color examples and exercises
- Color models
- HCL color palettes in ggplot examples and exercises
- The color wheel
- Color and emotion
- The eyedropper tool and color inspiration
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Special topics
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- Combining ggplot with a vector editor
- Annotations
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The Glamour of Graphics
Color examples and exercises
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This lesson is called Color examples and exercises, part of the The Glamour of Graphics course. This lesson is called Color examples and exercises, part of the The Glamour of Graphics course.
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Transcript
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Your Turn
Copy the code below (link to it here) and follow the instructinos.
library(tidyverse)
#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 so that
#Ozone is blue, Temp is orange, and Wind is green
ggplot(air) +
geom_line(aes(x = Day, y = value, color = name)) +
theme_minimal()
#take this plot and adjust the colors so that
#the bubbles are on a sequential scale from white to green
ggplot(mtcars) +
geom_point(aes(x = wt, y = hp, color = mpg), size = 4, alpha = 0.8) +
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 going from red to white to blue
ggplot(data, aes(X, Y, fill= Z)) +
geom_tile()
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