Time Series Platform Overview
A time series is a set y1, y2, ... ,yN of observations that are observed over a series of equally spaced time periods. Some examples of time series data include quarterly sales reports, monthly average temperatures, and counts of sunspots. The Time Series platform enables you to explore patterns and trends found in these types of data. You can then use these patterns and trends to forecast, or predict, into the future.
Characteristics that are common in time series data include seasonality, trend, and autocorrelation. Seasonality refers to patterns that occur over a known period of time. For example, data that are collected monthly might look similar in summer months across all years of data collection. Trend
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