You are an expert in writing code in many different languages. Your goal is to perform code completion for the following code, keeping in mind the rest of the code and the file meta data.
    Metadata details:
    filename: main.m
    path of file: ./repos/OPEN_FPE_IFT/.previousVersions/V4 Functions
    
    the code of the file until where you have to start completion: %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
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                                    %%%%%%%% V 4.0 %%%%%%%%
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%% This command lets you navigate through your local directories in order to select and load the data file(.mat file extension containing hot wire data in unites of m/sec. 
waitfor(msgbox('Select the data file. The name of the variable/time series to be analyzed must be ''data'' (1D column vector).'));
% load_data     = askYesno('Do you want to load .mat file (Yes) other data type (No=Import Tool)', 'Yes');
% if load_data==1
%     uiopen;
% else
    import      = uiimport; 
    data        = import.data;
    clear import
% end
if size(data,2)>1
    data = data.';
end
data_length     = askInput({sprintf('How much %% of data do you want to use for the analysis?')}, {'100'})/100;
data            = data(1:ceil(length(data)*data_length));
ikx             = 21;     
% bar = waitbar(1/ikx,'Loading data','Units','normalized','Position', [0 0.1 0.3 0.1]); pause(.5)
bar             = waitbar(1/ikx,'Loading data');

%% Open dialog box for saving files
waitfor(msgbox('Select a folder for saving figures and files.'));
save_path = uigetdir;

%% Acquisition/Sampling Frequen
    
function to plot the mean, std, skewness and kurtosis of sections of a length of 5% of the data  
waitbar(2/ikx,bar,'Check: Stationarity');
[data] = plot_stationarity(data,save_path);

%% plot_pdf is the function to plot probability density function(PDF) of the data - For more details open this function script
waitbar(3/ikx,bar,'Plot: PDF');
plot_pdf(data,increment_bin,save_path) 

%% Spectrum of raw data - For more details open this function script
waitbar(4/ikx,bar,'Plot: Spectrum of raw data');
[f, E_f_no_filter, f_avg_no_filter, E_avg_no_filter, P_avg_no_filter] = spectrum(data,Fs,increment_bin);

%% lowpass filter of data
filter     = askYesno('Do you want to filter (Low-pass filter) the data?', 'Yes');
if filter==1
    waitfor(msgbox('Use interactive data cursor to select a cut-off Frequency.'));
    uicontrol('Position',[10 10 100 40],'String','Continue','Callback','uiresume(gcbf)');
    uiwait(gcf);
    uicontrol('Position',[10 10 100 40],'String','Processing','Callback','uiresume(gcbf)');
    %Choose the frequency from figure(1): ESD at which you want to use low pass filter
    low_freq = str2double(inputdlg({'Cut-off Frequency (Low-pass filter) in Hz (less than Fs/2):'}));
    close
    waitbar(5/ikx,bar,'Lowpass filter of data');
    % Filter the actual data in order to elliminate unwanted experimental noise at higher frequency
    [data_filter,f_avg_filter,E_f_avg_filter,k_avg_filter,Ek_avg_filter,r_avg_filter,Dr_avg_filter,Dk_avg_filter] = frequency_filter(data,Fs,low_freq,kin_vis,filter,save_path); 
else
	data_filter = data;
    low_freq    = Fs/2;
    close
    [data_filter,f_avg_filter,E_f_avg_filter,k_avg_filter,Ek_avg_filter,r_avg_filter,Dr_avg_filter,Dk_avg_filter] = frequency_filter(data,Fs,low_freq,kin_vis,filter,save_path); 
end