Time Series

Time series data have a natural temporal ordering. This makes time series analysis distinct from cross-sectional studies, in which there is no natural ordering of the observations . Time series analysis is also distinct from spatial data analysis where the observations typically relate to geographical location. A stochastic model for a time series will generally reflect the fact that observations close together in time will be more closely related than observations further apart. In addition, time series models will often make use of the natural one-way ordering of time so that values for a given period will be expressed as deriving in some way from past values, rather than from future values

Time series analysis can be applied to real-valued, continuous data, discrete numeric data, or discrete symbolic data

Much like our data is a time series video where each frame is taken in time frame t then the next one is in time frame t+1 and this moves so forth

References

• Wikipedia - link