benwaldner / Seasonality

Investigate the seasonality and trend of time series by Moving Average, Savgol_filter, Linear Regression, ACF

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Seasonality

  • Decompose time series into trend and remaining component using different smoothing methods: Moving Average, Savgol_filter, Linear Regression.
  • Determine seasonal level by looking at the acf of remaining component fall outside the confident interval.

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Investigate the seasonality and trend of time series by Moving Average, Savgol_filter, Linear Regression, ACF


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Language:Python 100.0%