% Your data
StudentNames = {'John'; 'Alice'; 'Bob'; 'Eve'; 'Ali'; 'Adam'; 'Ben'; 'Sarah'; 'Sebrina'; 'Angela'};
Math = {'85'; '90'; '75'; '60'; '30'; '27'; '100'; '50'; '10'; '77'};
Physics = {'78'; '82'; '88'; '45'; '43'; '90'; '22'; '0'; '88'; '59'};
Chemistry = {'92'; '80'; '70'; '55'; '100'; '56'; '80'; '34'; '60'; '33'};
Biology = {'82'; '90'; '60'; '75'; '99'; '86'; '30'; '32'; '60'; '53'};
Geology = {'62'; '80'; '60'; '35'; '69'; '96'; '30'; '32'; '20'; '23'};
English= {'92'; '98'; '90'; '95'; '89'; '96'; '80'; '72'; '80'; '93'};
MachineLearning = {'62'; '50'; '70'; '25'; '39'; '46'; '80'; '22'; '60'; '53'};
Arabic = {'82'; '90'; '80'; '95'; '99'; '76'; '92'; '62'; '70'; '83'};
P_E = {'92'; '90'; '100'; '95'; '89'; '96'; '90'; '92'; '80'; '93'};
World_Religions = {'82'; '90'; '60'; '75'; '99'; '86'; '30'; '32'; '60'; '53'};
SocialStudies= {'72'; '90'; '80'; '85'; '99'; '26'; '50'; '32'; '10'; '0'};
Art = {'92'; '100'; '100'; '95'; '99'; '96'; '100'; '92'; '90'; '100'};
Humanities = {'92'; '90'; '100'; '95'; '89'; '96'; '90'; '92'; '80'; '93'};
Computer_Technology = {'92'; '90'; '100'; '95'; '89'; '96'; '90'; '92'; '80'; '93'};
Turkmen_Language = {'72'; '80'; '90'; '95'; '79'; '76'; '42'; '52'; '30'; '93'};
Data = table(StudentNames, Math, Physics, Chemistry, Biology, Geology, English, MachineLearning, Arabic, P_E, World_Religions, SocialStudies, Art, Humanities, Computer_Technology, Turkmen_Language);
% Initialize output table
OutputData = table();
% Iterate through each row
for i = 1:size(Data, 1)
% Get the student's name
studentName = Data.StudentNames{i};
% Extract the marks for the current student
studentMarks = table2array(Data(i, 2:end));
% Find subjects where the marks are below a passing threshold (e.g., 60)
failedSubjects = Data.Properties.VariableNames(1 + find(str2double(studentMarks) < 60));
% Count of failed subjects
failedSubjectsCount = numel(failedSubjects);
% Add a row to the output table
OutputData = [OutputData; table({studentName}, failedSubjectsCount, {strjoin(failedSubjects, ', ')}, 'VariableNames', {'Name', 'FailedSubjectsCount', 'FailedSubjects'})];
end
% Display the output table
disp(OutputData);
引用格式
Helin Qais (2024). Student Names and Failed Subjects Calculations (https://www.mathworks.com/matlabcentral/fileexchange/156832-student-names-and-failed-subjects-calculations), MATLAB Central File Exchange. 检索时间: .
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