%!demo
%! ## `standardizeMissing` turns your own sentinel codes into the *standard*
%! ## missing value for each type (`NaN` here), so later `ismissing`/`rmmissing`/
%! ## `fillmissing` calls recognise them.  This dataset uses `-99` for "no data".
%!
%! T = table ([38; -99; 40], [71; 69; -99], 'VariableNames', {'Age', 'Height'})
%! S = standardizeMissing (T, -99)
%!
%! ## The sentinels are now genuine missing values, ready to be filled or dropped.
%! rmmissing (S)
