Draw ggplot2 Histogram & Density with Frequency Values on Y-Axis in R (Example Code)

data(iris)                           # Example data
head(iris)
#   Sepal.Length Sepal.Width Petal.Length Petal.Width Species
# 1          5.1         3.5          1.4         0.2  setosa
# 2          4.9         3.0          1.4         0.2  setosa
# 3          4.7         3.2          1.3         0.2  setosa
# 4          4.6         3.1          1.5         0.2  setosa
# 5          5.0         3.6          1.4         0.2  setosa
# 6          5.4         3.9          1.7         0.4  setosa

data(iris) # Example data head(iris) # Sepal.Length Sepal.Width Petal.Length Petal.Width Species # 1 5.1 3.5 1.4 0.2 setosa # 2 4.9 3.0 1.4 0.2 setosa # 3 4.7 3.2 1.3 0.2 setosa # 4 4.6 3.1 1.5 0.2 setosa # 5 5.0 3.6 1.4 0.2 setosa # 6 5.4 3.9 1.7 0.4 setosa

install.packages("ggplot2")          # Install & load ggplot2
library("ggplot2")

install.packages("ggplot2") # Install & load ggplot2 library("ggplot2")

ggplot(iris, aes(Sepal.Length)) +    # Histogram with overlaid density
  geom_histogram() +
  geom_density(aes(y = ..density..),
               col = "orange",
               lwd = 2)

ggplot(iris, aes(Sepal.Length)) + # Histogram with overlaid density geom_histogram() + geom_density(aes(y = ..density..), col = "orange", lwd = 2)

ggplot(iris, aes(Sepal.Length)) +    # Histogram with overlaid density & count on y-axis
  geom_histogram(binwidth = my_binwidth) +
  geom_density(aes(y = ..density.. * (nrow(iris) * 0.1)),
               col = "orange",
               lwd = 2)

ggplot(iris, aes(Sepal.Length)) + # Histogram with overlaid density & count on y-axis geom_histogram(binwidth = my_binwidth) + geom_density(aes(y = ..density.. * (nrow(iris) * 0.1)), col = "orange", lwd = 2)