To deal with the data, we have to load it to MATLAB and express it with variables.
% Load data to maid = Load ( ' E: \ Pattern Recognition \ data mining repository \ adult \ resource \ converted_data.data ' ); % Get Data of all fieldsage = Rawdata (:, 1 ) ' ; Workclass = rawdata (:, 2 )' ; Fnlwgt = rawdata (:, 3 ) ' ; Education = rawdata (:, 4 ) ' ; Education_num = rawdata (:, 5 ) ' ; Marital_status = rawdata (:, 6 ) ' ; Occupation = rawdata (:,7 ) ' ; Relationship = rawdata (:, 8 ) ' ; Race = rawdata (:, 9 ) ' ; Sex = rawdata (:, 10 ) ' ; Capital_gain = rawdata (:, 11 ) ' ; Capital_loss = rawdata (:, 12 ) ' ; Hours_per_week = rawdata (:, 13 ) ' ; Native_country = rawdata (:, 14 ) ' ; Isover5 = rawdata (:, 15 ) ' ; [I, j] =Size (rawdata); image ( 1 ) Range = ( 1 : 1 : 100 ); [N, m] = Hist (age, range); plot (range, n); hold onplot (range, N );
In this way, we get the distribution of all ages in the survey: