hist(x) creates a histogram bar chart of the elements in vector x. The elements in x are sorted into 10 equally spaced bins along the x -axis between the minimum and maximum values of x .

histogram(X) creates a histogram plot of X. The histogram function uses an automatic binning algorithm that returns bins with a uniform width, chosen to cover the range of elements in X and reveal the underlying shape of the distribution.

Example: histogram(C,"Y" + wildcardPattern) plots data in the categories whose names begin with the letter Y. Example: histogram('Categories',{'Yes','No','Maybe'},'BinCounts',[22 18 3]) plots a histogram that has three categories with the associated bin counts.

histogram2(X,Y) creates a bivariate histogram plot of X and Y. The histogram2 function uses an automatic binning algorithm that returns bins with a uniform area, chosen to cover the range of elements in X and Y and reveal the underlying shape of the distribution.

hist3(X) creates a bivariate histogram plot of X(:,1) and X(:,2) using 10-by-10 equally spaced bins. The hist3 function displays the bins as 3-D rectangular bars, and the height of each bar indicates the number of elements in the bin.

Learn how to leverage simple MATLAB ® functions to customize the appearance of a histogram. You’ll learn how to accomplish tasks like changing the bin size and displaying relative frequencies on the y-axis instead of absolute counts.

histfit(data) plots a histogram of values in data using the number of bins equal to the square root of the number of elements in data and fits a normal density function.

The histogram, histcounts, and discretize functions dramatically advance the capabilities of histogram creation and calculation in MATLAB, while still promoting consistency and ease of use.

You can normalize histogram values as percentages by specifying the Normalization name-value argument as 'percentage'.

If x is a matrix, then histc operates along each column of x and returns bincounts as a matrix of histogram bin counts for each column. To plot the histogram, use bar(binranges,bincounts,'histc') . example