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Diagnostic Functions

Summary of Diagnostic Functions

  • build_outliers_plot_classic(df): Show outliers using Classical Seasonal Decomposition algorithm.
  • build_seasonal_plot_classic(df): Build seasonal plot using Classical Seasonal Decomposition algorithm.
  • build_outliers_plot_stl(df): Show outliers using Seasonal-Trend Decomposition using LOESS (STL) algorithm.
  • build_seasonal_plot_stl(df): Build seasonal plots using STL for a given dataframe.
  • build_outliers_plot_mstl(df): Show outliers using Multiple Seasonal-Trend Decomposition using LOESS (MSTL) algorithm.
  • build_outliers_plot_esd(df): Build outliers using the Generalized ESD or Seasonal ESD algorithm.
  • build_seasonal_plot_mstl(df): Build multiple seasonal plots using MSTL for a given dataframe.
  • build_outliers_plot_moving_average(df): Show outliers using Moving Average algorithm.
  • build_iqr_plot(df): Build IQR plot for a given dataframe (for less than 2 years of data).
  • build_monthwise_plot(df): Build month-wise plot for a given dataframe.
  • build_decomposition_results(df): Get seasonal decomposition results for a given dataframe.
  • conduct_stationarity_check(df): Conduct stationarity checks for a feature (dataframe's count column).