We all know that pre-processing data is often a crucial step to having models perform well. Flow-Forecast therefore has built in capabilities to:

• 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