ThingSpeak

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When I try to plot temperature data over time the displayed time is two hours behind. When I try to change timezones in the following manner results are very erratic: [data, time] = thingSpeakRead(readChannelID, 'Field', fieldID1, 'NumPoints', 64, 'ReadKey', readAPIKey); %% Visualize Data %% time.TimeZone = 'Europe/Brussels' plot(time, data,'- . r'); Most timezones from this list don't change the time at all, using using some I get say one hour closer but never the right amount. What am I doing wrong? How come only a few timezones from the list even have any effect? Keep in mind I am a n00b. For the record I am using the in browser editor on thingspeak.com, running a MATLAB visualisation plotting my cloud data.

Hi, I'm trying to plot some real-time data recieved from an Arduino Uno R3 in matlab R2020b but I'm not sure what baudrate should I set for data transfer. In my case the higher the baudrate is better but if I cant graph it properly it would be of no value. I want to know if I set the baudrate to max (which is 2000000) and since every sample I recieve from arduino would be 10 bits long (it's a number between 0 to 1.1) will I be able to plot them in real time efficiently? is Matlab able to do that? CPU: intel core i3 1005G1 baudrate limitaions for plotting real-time data You might want to try posting this in MATLAB answers. I think you are asking about a direct connection to MATLAB from an Uno, but most of the workflows here on the ThingSpeak community are about wirelessly connected IoT devices. signal_processing plotting real-time serial sesrial_data

Hi Im trying to plot occupancy values of 1s and 0s but in different colours on a graph with temperature data values from Thingspeak. When I plotted the occupancy values but they didnt display cause they are outside the axis limits. How do I plot each 1 and 0 using two different colours

I read this page: https://www.mathworks.com/help/thingspeak/plot-a-histogram-with-a-distribution-fit.html I generated a histogram with a gaussian fit using histfit but I also need the correlation coefficient for the fit to the data. How do I obtain it? current code: load('datafile.dat'); ydata=datafile; histfit(ydadta,100);