A time series consists of observations of a variable collected sequentially over time. The time order of observations is important because the purpose is to study how the variable behaves and changes over time.
A time series consists of observations of a variable collected sequentially over time. The time order of observations is important because the purpose is to study how the variable behaves and changes over time.
A time series is a set of values written in the order of time, so that we can see how a variable moves from the past to the present.
Time-series observations are chronological. Their original time order must be preserved during analysis. If the order is changed, the true pattern of the series is lost and any later forecast may become misleading.
Monthly sales must be kept as January, February, March, and so on. Mixing these months would hide the actual movement of sales over time.