convert epoch time(timestamps) into 30 minutes average bin?

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Hi,
I have a data file (of dimension 2195x56) for one day with 30 seconds interval (some data are missing). first column is the timestamps. I have to calculate data binned into 30 minutes average. I know "discretize" should work but I have timestamps. I tried using "discretize" but it shows that "discretize" should have numeric or logical. Can any one help. I have Matlab2015b. My code is below.
axy=importdata('data.txt');
time_st=axy(:,1);data=axy(:,2:end);
edges = datetime(2020,4,17,0,0:30:1440,24)';
bin = discretize(data,edges,edges(1:end-1));
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dpb
dpb 2021-6-19
编辑:dpb 2021-6-19
What is the conversion to real time from those timestamps?
And is there another repository for the data still that might have the full precision instead of having been written to the csv file with limited significant digits? That'd be the cat's meow to be able to do it as would want ideally...

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