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Time Series Analysis, Multiple Attributes
Learner I
Please bear with me, I haven't done statistical analysis since I was at university but I need to use it now. I have a few thousand examples I want to use to be able to predict whether or not an event is going to occur. I've been tidying the data up in Python so far but I want to move to RapidMiner.
My examples contian multiple attributes. Everything I read about Time Series talks about using just one attribute and pivoting the data so one example is on a single row. this obviously doesn't work when there's multiple attributes. What do I need to make it look like to move forward? Really appreciate any direction. Any good videos I should be watching?
My examples contian multiple attributes. Everything I read about Time Series talks about using just one attribute and pivoting the data so one example is on a single row. this obviously doesn't work when there's multiple attributes. What do I need to make it look like to move forward? Really appreciate any direction. Any good videos I should be watching?
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It is possible to work with a multivariate time series analysis in Rapidminer.
I recommend you the Time Series Course from Rapidminer academy.
https://academy.rapidminer.com/learn/course/time-series-analytics/time-series-analytics/data-preparation-and-analysis?page=1
Best,
Cesar