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Studying inflation in the united states from 1970 to 2010 is an example of using time series data .
What is time series data ?
A time series is a collection of data points that have been indexed (or listed or graphed) in time order. A time series is most frequently defined as a succession of photos taken at evenly spaced moments in time. As a result, it is a series of discrete-time data. Time series examples include ocean tidal heights, sunspot counts, and the Dow Jones Industrial Average's daily closing value.
Methods for evaluating time series data in order to derive relevant statistics and other data features are included in time series analysis. The employment of a model to predict future values based on previously observed values is known as time series forecasting. While regression analysis is frequently used to assess the correlations between one or more time series.
This form of analysis is not commonly referred to as "time series analysis," which refers to relationships between distinct points in time within a single series. Interrupted time series analysis is used to find changes in a time series' evolution from before to after some action that may alter the underlying variable.
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