How do I apply structures for data manipulation of CSV data

%Import Existing Data
bank = ImportBankData('bank-full.csv');
names = bank.Properties.VarNames;

% Remove unnecessary double quotes from certain attributes
bank = datasetfun(@removequotes,bank,'DatasetOutput',true);

% Convert all the categorical variables into nominal arrays
[nrows, ncols] = size(bank);
category = false(1,ncols);
for i = 1:ncols
    if isa(bank.(names{i}),'cell') || isa(bank.(names{i}),'nominal')
        category(i) = true;
        bank.(names{i}) = nominal(bank.(names{i}));
    end
end
% Logical array keeping track of categorical attributes
catPred = category(1:end-1);
% Set the random number seed to make the results repeatable in this script
rng('default');

%Visualize Data
% Bank balance vs. Last call duration plot, differentiated by outcome of the campaign
gscatter(bank.balance,bank.duration,bank.y)
% Label the plot
xlabel('Bank balance')
ylabel('Last contact duration')
title('Outcome')

% Response
Y = bank.y;
disp('Marketing Campaign')
tabulate(Y)
% Predictor matrix
X = double(bank(:,1:end-1));

I have the following questions

1. names = bank.properties.VarName
2. Can Matlab automatically do the Removal of double quotes without writing the program?
3. I want to apply structures in selecting my response just like 'bank.y'.

I tried applying machine learning with the techniques but it is nothing working for me. This ends up giving me Struct contents reference from a non-struct array object" when tried this names = bank.Properties.VarNames" with the same dataset from UCI.

[Walter Roberson]

Is ImportBankData the function from https://www.mathworks.com/matlabcentral/fileexchange/42744-machine-learning-with-matlab/content/Machine%20Learning/Classification/ImportBankData.m ?

Which MATLAB version are you using? Do you have Statistics toolbox?