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Time Series is a sequence of well-defined data points measured at consistent time intervals over a period of time. Time series analysis is the use of statistical methods to analyze time series data and extract meaningful statistics and characteristics about the data.
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values.
The data is considered in three types: Time series data: A set of observations on the values that a variable takes at different times. Cross-sectional data: Data of one or more variables, collected at the same point in time. Pooled data: A combination of time series data and cross-sectional data.
Time series analysis is use in order to understand the underlying structure and function that produce the observations. Understanding the mechanisms of a time series allows a model to be developed that explains the data in such a way that prediction, monitoring, or control can occur.
To create a time series plot in Excel, first select the time (Daytime in this case) Column and then the data series (stream flow in this case) column. Next, click on the Insert ribbon, and then select Scatter. From scatter plot options, select Scatter with Smooth Lines as shown below.
Creating a time series The format is ts(vector, start=, end=, frequency=) where start and end are the times of the first and last observation and frequency is the number of observations per unit time (1=annual, 4=quarter, 12=monthly, etc.).
Then go to Insert > Scatter and Scatter with Smooth Lines. You will get a chart like this: Edit horizontal axis. To edit horizontal axis, right click horizontal and go to format axis. Under axis options, change maximum to 4 and major (under units sections) to 1. Delete horizontal grid lines.
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