How many bins should I use in my histogram?

The number of bins you should use in your histogram depends on the size and shape of your data. Generally, it is best to start with a small number of bins and then increase the number if the data is not well distributed. For most data sets, between 5 and 15 bins should be adequate. However, the best number of bins to use will vary depending on the individual data set.

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uses the following formula to determine the optimal number of bins to use in a histogram:
Number of bins = ⌈log2n + 1⌉
To apply Sturges’ Rule to a given dataset, simply enter the sample size of the dataset in the box below and then click the “Calculate” button.

Number of Bins to Use: 6

function calc() {
//get input values
var n = document.getElementById(‘n’).value*1;

//find number of bins
var bins = Math.ceil( Math.log2(n) – (-1) );

//output
document.getElementById(‘n_out’).innerHTML = bins;
}

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