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  • Scale the data

  • Create new features from existing columns.

  • Make features from the specific date-time stamp.

  • Impute missing values.

  • Augment the data (TSAUG transformations)

The preprocessed data is now saved automatically in a “temp_df.csv” file so you can view it and make sure it is correct.

Preliminary Data Visualizations

Simple plots

Lag plots

Seasonal plots

Statistical Tests

  • Granger Causality

  • Stationarity tests

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