write the matlab command that counts the number of missing values represented by the value nan in javascript

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:

main.m
% create sample data
data = [1 2 NaN 4 5 NaN 7 NaN 9];

% count number of NaN values
n_missing = sum(isnan(data));
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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:

index.tsx
// create sample data
var data = [1, 2, NaN, 4, 5, NaN, 7, NaN, 9];

// count number of NaN values
var n_missing = 0;
for (var i = 0; i < data.length; i++) {
    if (isNaN(data[i])) {
        n_missing++;
    }
}
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