Reading data from csv with non uniform formatting

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Hi,
I am trying to read data from a cvs file (sample attached) with uneven formatting where there are a few sentences and lines with missing data points. I have been reading the file and then getting the row number for each time the column with is different to extract the data. I am trying to read ( and remove) the sentences and also remove the partially complete rows and creating one array from the remaining data. Is there any better way of doing this withouth having to check which row is incomplete? Any suggestions would be very helpful.
Thank you
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Cris LaPierre
Cris LaPierre 2023-4-24
I would use readtable with the settings to 'omitrow' when data is missing.
T = readtable('sample.csv','MissingRule','omitrow')
T = 11×5 table
Var1 Var2 Var3 Var4 Var5 _____ ____ ____ ____ ____ {'A'} 1 2 3 4 {'B'} 1 2 3 4 {'C'} 1 2 3 4 {'D'} 1 2 3 4 {'A'} 1 2 3 4 {'B'} 1 2 3 4 {'C'} 1 2 3 4 {'A'} 1 2 3 4 {'D'} 1 2 3 4 {'C'} 1 2 3 4 {'E'} 1 2 3 4

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