White noise seasonality Announcing the arrival of Valued Associate #679: Cesar Manara Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern) 2019 Moderator Election Q&A - Questionnaire 2019 Community Moderator Election ResultsHow to deal with time series which change in seasonality or other patterns?Predicting most likely application to be openedHow to “count” certain events in a time seriesDynamic Time Warping Linear Algebra and Pseudocode ExplanationDoes it make sense that datetime encodes one-hot-vector like one-hot-encoding or something else likeImproving LSTM Time-series PredictionsHow to approach Peak picking with a wide range of peak shapes, sizes, varying noise level, and occasionally shifting baseline?Are RNN or LSTM appropriate Neural Networks approaches for multivariate time-series regression?Multi-Step Forecast for Multivariate Time Series (LSTM) KerasFitting model to differenced time series

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White noise seasonality



Announcing the arrival of Valued Associate #679: Cesar Manara
Planned maintenance scheduled April 23, 2019 at 23:30 UTC (7:30pm US/Eastern)
2019 Moderator Election Q&A - Questionnaire
2019 Community Moderator Election ResultsHow to deal with time series which change in seasonality or other patterns?Predicting most likely application to be openedHow to “count” certain events in a time seriesDynamic Time Warping Linear Algebra and Pseudocode ExplanationDoes it make sense that datetime encodes one-hot-vector like one-hot-encoding or something else likeImproving LSTM Time-series PredictionsHow to approach Peak picking with a wide range of peak shapes, sizes, varying noise level, and occasionally shifting baseline?Are RNN or LSTM appropriate Neural Networks approaches for multivariate time-series regression?Multi-Step Forecast for Multivariate Time Series (LSTM) KerasFitting model to differenced time series










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enter image description here



Is the above graph a white noise?
I'm confused by the spikes at certain places.
The above plot has been obtained after doing a first order differencing on a time series. How can I justify whether there is seasonality present/absent in the data after differencing?










share|improve this question









$endgroup$
















    0












    $begingroup$


    enter image description here



    Is the above graph a white noise?
    I'm confused by the spikes at certain places.
    The above plot has been obtained after doing a first order differencing on a time series. How can I justify whether there is seasonality present/absent in the data after differencing?










    share|improve this question









    $endgroup$














      0












      0








      0





      $begingroup$


      enter image description here



      Is the above graph a white noise?
      I'm confused by the spikes at certain places.
      The above plot has been obtained after doing a first order differencing on a time series. How can I justify whether there is seasonality present/absent in the data after differencing?










      share|improve this question









      $endgroup$




      enter image description here



      Is the above graph a white noise?
      I'm confused by the spikes at certain places.
      The above plot has been obtained after doing a first order differencing on a time series. How can I justify whether there is seasonality present/absent in the data after differencing?







      r time-series data-analysis






      share|improve this question













      share|improve this question











      share|improve this question




      share|improve this question










      asked 2 hours ago









      Jor_ElJor_El

      312




      312




















          1 Answer
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          0












          $begingroup$


          How can I justify whether there is seasonality present/absent in the
          data after differencing?




          Plot the amplitude of the Fourier transform of the signal.



          If there is seasonality, you will see a peak at the appropriate frequency on the Fourier plot. This should be close to the plot's origin, because seasonality means slow changes and thus low frequencies.






          share|improve this answer









          $endgroup$













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            $begingroup$


            How can I justify whether there is seasonality present/absent in the
            data after differencing?




            Plot the amplitude of the Fourier transform of the signal.



            If there is seasonality, you will see a peak at the appropriate frequency on the Fourier plot. This should be close to the plot's origin, because seasonality means slow changes and thus low frequencies.






            share|improve this answer









            $endgroup$

















              0












              $begingroup$


              How can I justify whether there is seasonality present/absent in the
              data after differencing?




              Plot the amplitude of the Fourier transform of the signal.



              If there is seasonality, you will see a peak at the appropriate frequency on the Fourier plot. This should be close to the plot's origin, because seasonality means slow changes and thus low frequencies.






              share|improve this answer









              $endgroup$















                0












                0








                0





                $begingroup$


                How can I justify whether there is seasonality present/absent in the
                data after differencing?




                Plot the amplitude of the Fourier transform of the signal.



                If there is seasonality, you will see a peak at the appropriate frequency on the Fourier plot. This should be close to the plot's origin, because seasonality means slow changes and thus low frequencies.






                share|improve this answer









                $endgroup$




                How can I justify whether there is seasonality present/absent in the
                data after differencing?




                Plot the amplitude of the Fourier transform of the signal.



                If there is seasonality, you will see a peak at the appropriate frequency on the Fourier plot. This should be close to the plot's origin, because seasonality means slow changes and thus low frequencies.







                share|improve this answer












                share|improve this answer



                share|improve this answer










                answered 2 hours ago









                pcko1pcko1

                1,716418




                1,716418



























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