How do I to plot bar graph normalized to compare two controller

Hello everybody,

I am trying to achieve the same graph on the image below. I want to compare the results of two controllers for a wind turbine. As in the picture, the output data should be normalized against the "base" controller (blue bar). The values displayed are the root-mean square (RMS) of the error. The .mat file contains the data: "Result_base" and "Result_fuzzy".

Thanks for any help

load('data.mat')
error=[12.1,5.0e+3];
for idx=1:2
    
%     norm_jonkman(:,idx)=(Result_jonkman(:,idx)-min(Result_jonkman(:,idx)))/(max(Result_jonkman(:,idx))-min(Result_jonkman(:,idx)));
% norm_fuzzy(:,idx)=(Result_fuzzy(:,idx)-min(Result_fuzzy(:,idx)))/(max(Result_fuzzy(:,idx)-min(Result_fuzzy(:,idx))));
   RMS_base(idx)=rms( Result_base(:,idx)-error(idx));
   RMS_Fuzzy(idx)=rms(Result_fuzzy(:,idx)-error(idx));
  
   y(idx,:)= [1-( (RMS_base(idx)- RMS_base(idx))/RMS_base(idx)) 1-((RMS_Fuzzy(idx)- RMS_base(idx))/RMS_base(idx));];
    
end
 figure;
 bar(y)