Time Series | What is Stationarity and How to Find it in Time Series Data | #2

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This video will give you the comprehensive understanding about Stationarity in the data and will also help you to understand what are the different ways to find the Stationarity in the data.
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Tags -
Time Series Analysis,
Time Series Modelling,
Stationarity
#DataScience #TimeSeries #PyhonProgramming #Python #learnerea

[@darellelee189]

Thanks for the good sharing. Could you share the dataset and the code with us? Thanks.

[@user-jh4wo6ok4s]

Thank you sir!!! Very clear explanation. The other guys don't talk about the Test Stats should be less than the criticality values.

[@huwjarse5761]

Thanks for the video - you mentioned you have a video on rolling, can you share the link please

[@learnerea]

here is the one for your purpose -
ua-cam.com/video/qU3d8h2Lyiw/v-deo.htmlsi=d7ZuuNBz58aFWvMu

[@debapriyosengupta2062]

very well explained

[@learnerea]

Thanks for liking

[@SaraJose-dq8kq]

in the line 188, you have given [0:4] for adfuller function.can you please explain why you have given that value.whats the reason behind that?

[@MarcelSuleiman]

when you have a list, tuple, string etc in python (for example x = "SaraJose-dq8kq") and type `print(x[4:8])` you will get "Jose" or `print(x[9:])` ---> "dq8kq" etc... It's called "Slicing" ... that is why on line 188 author used `adfTest[0:4]` just to show you first 4 elements to be focusing on (not all)

[@learnerea]

Thank you Marcel!