I have time series data in excel. How do I divide it to a certain number of intervals?
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I have a time series data which spans to 22000 years before past. It looks like:
![](https://www.mathworks.com/matlabcentral/answers/uploaded_files/1053480/image.jpeg)
So, there are 22041 rows (Starts from -21.999418 and ends at 0.039583). I need to divide the data into 100 year intervals. Then calculate the 'SST' average of each interval. After this i need to subtract the average with the data from which it was calculated and generate another column of it.
Let me explain it with an example:
For the set ( -21.999418 to -21.900418), say the average of SST is 295.5678, then i need another column next to SST values, for the first row it is (295.81604-295.5678). This goes on for all 22041 rows.
I will attach the excel sheet here for reference.
Please tell me how do I write a code for this in matlab.
If such question is already answered please guide me to it.
Thank you.
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Sanyam
am 3 Jul. 2022
Hey Rohit!
First step would be to import the excel data in matlab environment. Go to the home button in your editor and click on import. This will open a new window where you can set the options for importing your data
Below is the snippet of code attached to help you perform your task.
Hope that helps! Thanks!
data = TRACEninoorg;
startIdx = 1
interval = 100 % set this as the number of years you want
newCol = [] % temporarily created array to store the (val - average) for an interval
while startIdx <= size(data, 1) % Keep looping till you have covered all datapoints
if startIdx+interval-1 <= size(data, 1)
sst_temp = table2array(data(startIdx:startIdx+interval-1, "SST")); % take values from sst column, number of values = interval
else
sst_temp = table2array(data(startIdx:end, "SST")); % If it does not contain sufficient values then take what's left
end
avg = mean(sst_temp); % calculate the mean of elements in the array
avg_mat = repmat(avg, size(sst_temp,1), 1);
sub = sst_temp - avg_mat;
newCol = cat(1, newCol, sub); % concatenate the newly calculated array to the newCol
startIdx = startIdx+interval; % Update start index
end
addvars(data, newCol) % add the newCol to the original table
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