how to load 6 csv datasets with different number of rows and cells as 1 combined large table in matlab

To load multiple CSV datasets with different numbers of rows and cells into one combined large table in MATLAB, you can follow these steps:

1. Create an empty table using the table function:

main.m
combinedTable = table();
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2. Use a loop to load each CSV file and concatenate it with the main table:

main.m
folderName = 'path/to/csv/folder/';
files = dir(fullfile(folderName, '*.csv'));

for i = 1:length(files)
    filename = fullfile(folderName, files(i).name);
    data = readtable(filename);
    combinedTable = [combinedTable; data];
end
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This loop will iterate over all the CSV files in the specified folder and concatenate each file's data to the combinedTable using the square brackets notation.

Note that this assumes all the CSV files have the same column names. If the column names differ, you might need to handle merging the columns manually.

3. After the loop, combinedTable will contain the combined data from all the CSV files, with differing numbers of rows and cells.

Make sure to replace 'path/to/csv/folder/' with the actual path to the folder containing your CSV files.

By using this approach, you can read and combine multiple CSV datasets into one large table in MATLAB, even if they have different numbers of rows and cells.