Challenge

Project - Data Handling and Interpolation

M = readmatrix('VI.xlsx','Sheet','Sheet1');   % read the excel sheet
 
x = (-17.3:0.1:0.9);                                   % create the value range with intervals
y = interp1(M(:,1), M(:,2), x);                    % interpolate the values usinf interp1 function
 
plot(x,y,'b-');                                             % to create the plot
 
dlmwrite('interpolated_data.txt', [x', y'], 'delimiter', '\t', 'precision', '%.4f');
                                                                 % save the data in a text file using the 'dlmwrite'function
 
missing_data = find(isnan(M));                    % find missing values using the 'isnan' function
dlmwrite('missing_data.txt', missing_data, 'delimiter', '\t');
                                                                 % save the missing data using the 'dlmwrite' function
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