To count the number of missing values (represented by the value NaN) in a dataset using Matlab, you can use the sum function with the isnan function as follows:
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In JavaScript, you can count the number of NaN values in a dataset using a similar approach, but you'll need to loop over the data values and use the isNaN function instead:
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