Time series analysis on sensor data
bshafiei
Registered Posts: 2 ✭✭✭✭
Hello, Is it possible to analyze data with low granularity (i.e. min by min) or they should be summarized before using them for time series forecasting using the notebooks provided in Dataiku.
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Answers
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Hi,
This is possible using some code along with the visual ML component of Dataiku.
You can use this example: http://gallery.dataiku.com/projects/TIMESERIES/flow/ as a starting point. The code element would mostly deal with slicing windows of the data, since ML models would only forecast one step ahead.
Let me know if this helps,
Alex -
This is a great guide for Univariate Time Series time. However, I need to perform Multivariate Time Seriese Forecasting. Any suggestions on univariate ts forecasting using i.e. Vector Auto Regression (VAR)?
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In Python I would advise using https://www.statsmodels.org/dev/vector_ar.html. In R I would advise using https://otexts.org/fpp2/VAR.html.