Intro to Time Series Analysis

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In #timeseries #analysis the temporal structure of the data means that important assumptions about the consistency of observations must be specifically addressed. @deganza provides an intro to the basics of times series analysis with #KNIME. Enjoy the data story!

PS: :date:#HELPLINE . Want to discuss your article? Need help structuring your story? Make a date with the editors of Low Code for Data Science via Calendly → Calendly - Blog Writer

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Hello Roberto, this post helpt me a lot. But i have some questions. I want to look on total sales per month and by using decompose node, i m not sure how to set the lags.
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Can you help me with this topic?

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Also one more question. In TSA Modell, i have the churn effekt. Is there some prediction model where is also churn % included? Which node would be good for this issue?

Thanks a lot.
Regards,