how to plot real time data, seperate different channel readings into different graphs and remove noise from a graph/ reading.

The blow code does a live plot of 6 different channels. After acquisition, it draws a final plot of drag, side, yawn etc all on same graph....the graph also shows too much noise. I have tried the subplot for separating the final plots into different graphs but it returns errors.

i want the code to do a live plot of the drag, side, lift, yawn, roll and pitch on different graphs and the final plot should also show the drag, yawn etc on different graphs. i want to be able to log the final data(drag, lift etc against time) in a table format on an excel sheet after acquisition. I also want the graphs to eliminate noise.

can anyone help modify this code to do what is stated above or tell me what to do ? thank you in advance

% Create DAQ Session
s = daq.createSession ('ni');
s.IsContinuous = true;
s.Rate = 2000;

% Add channels
ch1 = s.addAnalogInputChannel('Dev1', 'ai0', 'Bridge');
ch2 = s.addAnalogInputChannel('Dev1', 'ai1', 'Bridge');
ch3 = s.addAnalogInputChannel('Dev1', 'ai2', 'Bridge');
ch4 = s.addAnalogInputChannel('Dev2', 'ai0', 'Bridge');
ch5 = s.addAnalogInputChannel('Dev2', 'ai1', 'Bridge');
ch6 = s.addAnalogInputChannel('Dev2', 'ai2', 'Bridge');

% Set channel properties
ch1.BridgeMode = 'Full'; 
ch1.ExcitationVoltage = 10; 
ch1.NominalBridgeResistance = 350; 
ch2.BridgeMode = 'Full'; 
ch2.ExcitationVoltage = 10; 
ch2.NominalBridgeResistance = 350; 
ch3.BridgeMode = 'Full'; 
ch3.ExcitationVoltage = 10; 
ch3.NominalBridgeResistance = 350; 
ch4.BridgeMode = 'Full'; 
ch4.ExcitationVoltage = 10; 
ch4.NominalBridgeResistance = 350; 
ch5.BridgeMode = 'Full'; 
ch5.ExcitationVoltage = 10; 
ch5.NominalBridgeResistance = 350; 
ch6.BridgeMode = 'Full'; 
ch6.ExcitationVoltage = 10; 
ch6.NominalBridgeResistance = 350; 

% specify legnths l, f, c1, c2 and n as seen on the force balance, refer 
% to the diagram for better understanding
l = 30;
f = 20;
c1 = 25;
c2 = 30;
n = 30;

% specify the force coefficient per strain gotten during load cell
% caliberation
q = 200;

% Initialize Session 'UserData' property. During background acquisition,
% the 'recordData' callback function will keep appending data and
% timestamsps to the 'UserData' property.
s.UserData.Data = [];
s.UserData.TimeStamps = [];

% Add listener to 'DataAvailable' callback
lh1 = addlistener(s, 'DataAvailable', @recordData);

%% Start background acquisition
h = input('Enter the time of acquisition in seconds ');
disp('Acquiring data...');
startBackground(s)
% Increase or decrease the pause duration to fit desired acquisition time
pause(h)
stop(s)

%% Data extraction
% Extract data associated to each channel from the 'UserData' property.
chan1 = q * s.UserData.Data(:,1);
chan2 = q * s.UserData.Data(:,2);
chan3 = q * s.UserData.Data(:,3);
chan4 = q * s.UserData.Data(:,4);
chan5 = q * s.UserData.Data(:,5);
chan6 = q * s.UserData.Data(:,6);
drag = chan4 + chan5;
side = chan6;
lift = chan1 + chan2 + chan3;
rolling = (c2 * chan6) + (l * chan1) - (l * chan2);
pitching = (- c1 * chan4) - (c1 * chan5) + (f * chan1) + (f * chan2) - (2 * f * chan3);
yawning = (- n * chan4) + (n * chan5);

DAQ_1 = timetable(seconds(s.UserData.TimeStamps),drag,side,lift,rolling,pitching,yawning);

% Plot the entire acquired data
disp('Acquisition complete.');
figure
plot(DAQ_1.Time, DAQ_1.Variables)
xlabel('Time (s)')
ylabel('Force (N)')
legend(DAQ_1.Properties.VariableNames)
grid

% Clean up
delete(lh1)
clear s ch1 ch2 ch3 ch4 ch5 ch6 lh1

% Callback function
function recordData(src, eventData)
% RECORDDATA(SRC, EVENTDATA) records the acquired data, timestamps and
% trigger time. You can also use this function for plotting the
% acquired data live.

% SRC       - Source object      i.e. Session object
% EVENTDATA - Event data object  i.e. 'DataAvailable' event data object

% Record the data and timestamps to the UserData property of the session.
src.UserData.Data = [src.UserData.Data; eventData.Data];
src.UserData.TimeStamps = [src.UserData.TimeStamps; eventData.TimeStamps];

% Live plotting
plot(eventData.TimeStamps, eventData.Data)
xlabel('Time (s)')
ylabel('Force (N)')
legend('ch1','ch2','ch3','ch4','ch5','ch6')
end