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Filter table based on time and make calculation

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Dion Theunissen
Dion Theunissen am 19 Jul. 2021
Bearbeitet: Scott MacKenzie am 19 Jul. 2021
I have a table like this below:
Now i want to make a loop that i can calculate the mean of a specific column based on the time. So I want to calculate the mean of 29th of june, 30th of june and so on.
Anyone who can help me with this?
  2 Kommentare
Scott MacKenzie
Scott MacKenzie am 19 Jul. 2021
It might help if you post the data.
the cyclist
the cyclist am 19 Jul. 2021
Bearbeitet: the cyclist am 19 Jul. 2021
... specificaly, upload the data in a MAT file, not just an image (which we cannot work with). If you cannot upload the whole file for some reason, just several rows that cover multiple dates would be enough.

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Scott MacKenzie
Scott MacKenzie am 19 Jul. 2021
Bearbeitet: Scott MacKenzie am 19 Jul. 2021
You don't need a loop. At a high level, here's what you need to do. Read the data into MATLAB, probably into a table using the readtable function. From there you build a timetable with one column for the date and time and other columns for the data you want to summarze. Then, use the retime function to build the summaries of interest at the desired granularity (e.g., daily). The code below does this with some random test data.
% create a datetime vector starting in June with one entry every 30 minutes
t1 = datetime(2021, 6, 1);
t2 = datetime('now');
dt = t1:hours(0.5):t2;
% create some test data, similar to data in the question
speed = rand(1,length(dt));
distance = rand(1,length(dt));
% combine the datetime elements and test data into a timetable
TT1 = timetable(dt', speed', distance', 'variablenames', {'Speed', 'Distance'} );
% compute daily means for speed and distance
TT2 = retime(TT1, 'daily', 'mean');
% plot mean speed by day
plot(TT2.Time, TT2.Speed, '-bo', 'markerfacecolor', 'b');
ylabel('Speed (units)');

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