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    A density histogram is a useful way to visualize the distribution of a dataset. It combines the features of a histogram and a density plot, allowing you to see both the frequency of data points and the estimated probability density function.

    Using Base R

    To create a density histogram in base R, you can use the hist() function with the prob = TRUE argument. This will scale the histogram to represent a density rather than a frequency. You can then add a density curve using the density() function and the lines() function.

    Here is an example:

    # Sample data
    set.seed(1)
    x <- rnorm(400)

    # Create histogram with density scaling
    hist(x, prob = TRUE, col = "#E1DEFC", main = "Density Histogram", xlab = "Value", ylab = "Density")

    # Add density curve
    lines(density(x), col = "blue", lwd = 2)

    In this example, the hist() function creates a histogram of the data x with density scaling. The lines() function adds a density curve to the histogram1.

    Using ggplot2

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