Performing a function (such as standard deviation) on groups of data

I have created runs that are based on if data is present. See below for the "raw data example". What i want to do is create a new matrix/table that is filled with analyzed data for each run. For example, I want to create a table filled with the standard deviation of each run, which would look similar to "Analyzed Example". Note that the std for run 1 was from lines 4 to 8. I am unsure if I explained this well enough and I would appreciate any assistance/guidance. Thank you.

Analyzed Example

Raw Data Example

Answer 1

[madhan ravi]

 [~, ~, c]= unique(Run, 'stable'); % Run is without zeros
 STD = accumarray(c, (1:numel(Data)).', [], @std)
 %or
 STD = splitapply(@std, Data, findgroups(Run))
 %or 
 STD = grpstats(array2table([Run,Data], 'VariableNames',{'Run', 'Data'} ),'Run','std')
 %or
 T = array2table([Run,Data], 'VariableNames',{'Run', 'Data'} );
 STD = groupsummary(T, 'Run','std'