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%% Missing Values in Table with Various Data Types % Create a table with variables of different data types and find the elements % with missing values. %% dblVar = [NaN;3;5;7;9;11]; singleVar = single([1;NaN;5;7;9;11]); cellstrVar = {'one';'three';'';'seven';'nine';'eleven'}; charVar = ['A';'C';'E';' ';'I';'J']; categoryVar = categorical({'red';'yellow';'blue';'violet';'';'ultraviolet'}); m = [1:2:10]; dateVar = [datetime(2015,m,15) NaT]'; A = table(dblVar,singleVar,cellstrVar,charVar,categoryVar,dateVar) %% % |ismissing| returns 1 where the corresponding element in |A| has a missing % value. TF = ismissing(A) %% % The size of |TF| is the same as the size of |A|.