How to perform data analysis on each column of matrix individually and plot each column individually?

I have a matrix of 20000 X 176 I want to perform data analysis of each column individually and plot each column individually. Is there a fast way to do this.

This is my data analysis (with lead53 = column 53)

        if true  
lead53 = data.signals(:,53);
dlead53 = gradient(lead53(:,1))/(1/fs)
ch1 = zeros (length(lead53(:,1)),1);
for n = 1: length(lead53);
if dlead53(n) >  500  %select pacing spikes
    ch1(n-3) = lead53(n-3);
     ch1(n-2) = lead53(n-2);
    ch1(n-1) = lead53(n-1);
    ch1(n) = lead53(n);
    ch1(n+1) = lead53(n+1);
    ch1(n+2) = lead53(n+2);
    ch1(n+3) = lead53(n+3);
end
if dlead53(n) < 500
    ch1 (n) = 0;
end
end
ch1(ch1==0) = NaN 
plot (t, lead53, 'b')
hold on
plot (t, ch1, '-g') %pacing spikes in green
hold off

        end

Answer 1

[José-Luis]

data = rand(100,5);
%Loop through the columns
for ii = data
    %do your thing: ii is a column vector containing the data of a column
end

Depending on what you actually want to do, it might be possible to vectorize.

[Nariç Durmus]

This does not separate the figures of the columns

[José-Luis]

I don't understand what you mean. Do subplots? Create a new figure for each loop iteration?