Dataset (Forecasting)

Airline

Load the airline univariate time series dataset [1].

Notes

The classic Box & Jenkins airline data. Monthly totals of international airline passengers, 1949 to 1960.

Dimensionality: univariate Series length: 144 Frequency: Monthly Number of cases: 1

This data shows an increasing trend, non-constant (increasing) variance and periodic, seasonal patterns.

References

[1]

Box, G. E. P., Jenkins, G. M. and Reinsel, G. C. (1976) Time Series Analysis, Forecasting and Control. Third Edition. Holden-Day. Series G.

Examples

>>> from sktime.datasets.forecasting import Airline
>>> dataset = Airline()
>>> y = dataset.load("y")

Quickstart

python

from sktime.datasets.forecasting.airline import Airline

estimator = Airline

>>> from sktime.datasets.forecasting import Airline
>>> dataset = Airline ()
>>> y = dataset. load ("y")

[1]

Box, G. E. P., Jenkins, G. M. and Reinsel, G. C. (1976) Time Series Analysis, Forecasting and Control. Third Edition. Holden-Day. Series G.