In order to overlay a kernel density estimate over a histogram in ggplot2 you will need to pass aes(y = ..density..) to geom_histogram and add geom_density.

11 янв. 2014 г. · I just want a histogram where the breaks and the colours of each block are directionally set according to the default ggplot fill colours. Density plot and histogram in ggplot2 - Stack Overflow R GGplot histograms and density with multiple fill variables ggplot2, histogram: why do y = ..density.. and ... - Stack Overflow Другие результаты с сайта stackoverflow.com

A histogram can be used to compare the data distribution to a theoretical model, such as a normal distribution. This requires using a density scale for the ...

8 апр. 2024 г. · Histograms (and bar plots) are common tools to visualize a single variable. The x axis is often used to locate the bins and the y axis is for the counts.

Histograms display the counts with bars. You can define the number of bins (e.g. divide the data five bins) or define the binwidth (e.g. each bin is size 10).

Visualise the distribution of a single continuous variable by dividing the x axis into bins and counting the number of observations in each bin.

A density plot and a histogram of frequency are found combined in the same chart. After all, both represent data distribution in their own specific way.

The ggplot2 density plots is that it is so easy to fill the area under the curve which really helps the visual representation of the data.

geom_histogram() displays a 1d distribution by dividing variable mapped to x-axis into bins and counting the number of observations in each bin.

This R tutorial describes how to create a density plot using R software and ggplot2 package. The function geom_density() is used.