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How to extract a subset of person identified data from several excel files into one excel file

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I have a collection of seven very large (10,000 records in each) excel files where the data (33 attributes) for each student (identified by student ID) is spread across each of the seven excel files. I'd like to randomly extract 1000 students data from across the seven files into one excel file (1000 rows, 34 columns). I'm hoping that someone has already written MATLAB code to do something similar and save me from my very patchy programming skills? Many thanks.

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dpb
dpb il 31 Dic 2018
Well, there's a lot of code that will read a spreadsheet, but there's probably nothing that you can just blindly throw at the particular problem.
But, it's not hard problem to solve if the spreadsheets are reasonably regular in their format.
Just read each file into a an array and select the rows desired--if it is truly random selection, then something like
d=dir('AppropriateWildCardString.xls*'); % get the dir() list of files
for i=1:length(d)
[~,~,raw]=xlsread(d(i).name); % read raw data from the sheet
if i==1 % generate a random subset indexing vector
ix=randperm(size(raw,1),1000);
data=raw(ix,:); % and save the selected subset
else
data=[data raw(ix,2:end)]; % and append to previous
end
end
At that point you'll have cell array of the desired data; I'd recommend converting to table and storing the data in appropriate variable types (double, string, categorical, ...) based on its characteristics.

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Michael Madelaire
Michael Madelaire il 31 Dic 2018
Modificato: Michael Madelaire il 31 Dic 2018
Start by saving the excel files as .csv.
Then load them into MatLab with
data1 = csvread(filename1);
data2 = csvread(filename2);
data3 = csvread(filename3);
data4 = csvread(filename4);
data5 = csvread(filename5);
data6 = csvread(filename6);
data7 = csvread(filename7);
Then combine into one matrix
data = [data1; data2; data3; data4; data5; data6; data7];
Now you have to sample randomly from the new matrix (70,000 x 33). For this I suggest taken a look at:
This should do it.
%% Edit
You can also use
xlsread()
to load excel files directly, but I prefer csvread.

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