Editing Time Series (section)

== <span style="color: #FFFFFF;">Remembering</span> ==
* '''Time Series''' — A series of data points indexed (or listed or graphed) in time order.
* '''Trend''' — The long-term increase or decrease in the data (e.g., global warming).
* '''Seasonality''' — Predictable patterns that repeat over a fixed period (e.g., ice cream sales in summer).
* '''Cyclical Component''' — Patterns that repeat but not over a fixed period (e.g., economic "boom and bust").
* '''Noise (Irregular)''' — Random variations that cannot be explained by trend or seasonality.
* '''Stationarity''' — A property where the statistical characteristics of the series (mean, variance) do not change over time.
* '''Autocorrelation''' — The correlation of a signal with a delayed version of itself (how today relates to yesterday).
* '''Lag''' — The amount of time by which one variable is separated from another.
* '''Moving Average''' — A calculation to analyze data points by creating a series of averages of different subsets of the full data set.
* '''Forecasting''' — The process of making predictions of the future based on past and present data.
* '''ARIMA (AutoRegressive Integrated Moving Average)''' — A popular statistical model for time series forecasting.
* '''Smoothing''' — A technique to remove "noise" from a data set to see the underlying pattern.
* '''Exponential Smoothing''' — A technique that gives more "weight" to recent data points when forecasting.
* '''Seasonally Adjusted''' — Data that has had the seasonal component removed to reveal the true trend.
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