Manipulating multiple csv files

I'm not sure if this has already been asked, but I couldn't find an answer. I have up to 600 csv files all with two columns. I want to input the second column of all of these data files into matlab. I then want to stick all these data sets into a table with separate columns for each data set/csv file and then finally plot them all against the same X values (first column in all of the csv files). I have seen an answer previously stating that this code would work for multiple inputs files, sticking them together essentially. I am new to all programming languages and am struggling with what seems like an easy task, is there a MATLAB Answers page I should be reading? Many thanks for any help.

'C:\DATA\Jess\CSV files\29-8-17 csv';% 
if ~ isdir(files)% 
    errormessage = sprintf('Error: The following file does not exist:\n&s',files); 
    uiwait(warndlg(errormessage));
    return;
end 

filepattern = fullfile(files, '*.csv');
thefiles = dir(filepattern);
for j = 1: length(thefiles);
    filename = thefiles(j).name;
    fullfilename = fullfile(files, filename);
    fprintf(1, 'Now reading %s\n', fullfilename);
    dataArray = csvread(fullfilename);
     if j == 1
     allDataArray = dataArray;
  else
     allDataArray = [allDataArray; dataArray]; 
  end
end
xlswrite(outputfilename, allDataArray, 'All Data', 'A1');

[mabinj]

If interested I found a solution to this problem, the code is as follows:

    % code
'C:\DATA\Jess\CSV files\29-8-17 csv';% 
if ~ isdir(files)% 
    errormessage = sprintf('Error: The following file does not exist:\n&s',files); 
    uiwait(warndlg(errormessage));
    return;
end 
filepattern = fullfile(file,'*.csv');
thefiles = dir(filepattern);
for j = 1: length(thefiles);
    filename = thefiles(j).name;
    fullfilename = fullfile(files, filename);
    fprintf(1, 'Now reading %s\n', fullfilename);
    if j == 1
        dataArray = csvread(fullfilename);
        x = dataArray(:,1)
        y = dataArray(:,2)
    else
        y = [y , csvread(fullfilename,0,1)];
    end
end

plot(x,y)