Introduction
Filtering helps you keep only the data you want and remove the rest. It makes your data easier to understand and use.
filteredData = data(condition);
data = [1, 5, 10, 15, 20]; filteredData = data(data > 10);
data = [2, 3, 4, 5, 6]; filteredData = data(mod(data, 2) == 0);
names = {'Anna', 'Bob', 'Alice', 'Bill'};
filteredNames = names(startsWith(names, 'A'));data = [3, 8, 12, 5, 20, 7]; filteredData = data(data >= 8); disp('Filtered numbers >= 8:'); disp(filteredData);
filtered = array(condition);array(condition) returns elements where the condition is true.A for values greater than 10?A(A > 10), which correctly filters elements greater than 10.A = [3, 12, 7, 15, 9];
filtered = A(A >= 10);
disp(filtered);
A >= 10 selects elements in A that are 10 or greater.A = [2, 8, 4, 6];
filtered = A{A < 5};
A{A < 5} causes an error because curly braces cannot index numeric arrays.M = [1 5 9; 4 2 7; 8 3 6], how do you filter all elements greater than 4 and return them as a single column vector?M(M > 4) to select all elements greater than 4 from matrix M.filtered(:) to reshape the filtered elements into a single column vector.Pass the test and this pattern moves unknown