What are time series methods?

Time series analysis is a specific way of analyzing a sequence of data points collected over an interval of time . In time series analysis, analysts record data points at consistent intervals over a set period of time rather than just recording the data points intermittently or randomly.

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What are time series features?

Time-series data have core components like seasonality, trend, and cycles . For example, ice-cream sales usually have yearly seasonality — you can reasonably predict the next summer’s sales based on this year’s. Similarly, temperatures or air quality measurements have daily seasonality or also, yearly.21 Tem 2021

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What is Prophet file?

Prophet’s File Generate feature helps your team track and update quotes or forms . If you or your team find yourselves constantly editing Word or Excel documents to send out to clients Prophet’s File Generation feature can make creating those files as easy as clicking a button.

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What is daily seasonality in Prophet?

Prophet will by default fit weekly and yearly seasonalities, if the time series is more than two cycles long. It will also fit daily seasonality for a sub-daily time series . You can add other seasonalities (monthly, quarterly, hourly) using the add_seasonality method (Python) or function (R).

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