f u t u r e ra
Example time series stationary
Stationary2000-12000-32000-52000-72000-92000-112001-12001-32001-52001-72001-92001-112002-12002-32002-52002-72002-92002-112003-12003-32003-52003-72003-92003-116007008009001,000Month/
MonthA
2000-1900.1
2000-2920
2000-3848
2000-4839
2000-5879
2000-6726
2000-7788
2000-8813
2000-9745
2000-10732
2000-11809
2000-12786
2001-1849
2001-2926
2001-3867
2001-4828
2001-5778
2001-6862
2001-7830
2001-8924
2001-9682
2001-10754
2001-11828
2001-12818
2002-1922
2002-2929
2002-3903
2002-4820
2002-5871
2002-6926
2002-7811
2002-8901
2002-9867
2002-10948
2002-11820
2002-12893
2003-1859
2003-2909
2003-3860
2003-4993
2003-5858
2003-6887
2003-7823
2003-8909
2003-9837
2003-10821
2003-11916
2003-12911

These data points exhibit a constant mean and variance over time, indicating stationarity. There is no clear trend or seasonal pattern present.

The python language has modules for checking stationary time series, e.g. scipy (stats) and statmodels (adfuller)

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