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Hey there! Wow thank you for the tip, you’re the first one ever to do that!! YOU ROCK :D Pro tip: organize your file system well if you haven’t already. I’m making a video on this soon… keep a folder with raw data, a folder with main scripts that load the raw data and process it, a folder with functions you use in those main scripts, and an output folder where you store the processed data. Reach out to philsbeginnercode@gmail.com anytime :)
@@philparisi_ Great point! I literally did just that over the last 24 hours. I look forward to less time dorking around with a mixed folder of files, and having 1 location for R to ingest my results from.
Hi! Your video is great, thanks. I have a question that how I can manage to add something to my dataset while working in Matlab? For instance, after uploading the data set into matlab, I also want to add another column named "fault value" . I'm not able to do that outside because the dataset is so large that it has nearly 6 million vibration measurement value of a machine.... I'd be so glad if you answer me...
Hi there, I haven’t worked with a dataset quite that large in MATLAB but here’s what I would try: - load in the file - get the data into a workable datatype with functions like table2array() and typecast with string() or double() as needed. If the data is all numeric, then keep it as a matrix of values. - then, add another column to the matrix using indices If you have mixed data types (i.e. not just numerical), consider concatenating two table together and read this: www.mathworks.com/matlabcentral/answers/256550-adding-a-column-to-table
