Time series is a sequence ordered in time. Its modeling is of considerable interest to users for purposes of forecasting.
A data frame with 250 observations on the following 2 variables.
Plotting, Trend fitting, Estimating seasonal component, ARIMA modeling, and Residual analysis are some of the powerful tools which may give rich insight into the share prices.
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