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5 useful functions for your Time Series projects in Data Science

These 5 functions are presented in a YouTube video : Equancy YouTube Channel

They perform regular tasks in a multivariate time series project and allow the Data Scientist not to have to create them himself.

id_time_coverage(...)

Allowing to visualize the temporal distribution of the different modalities of a variable:

id_importance(...)

Sort the modalities by order of importance and visualize the cumulative curve of the modalities:

id_cross_importance(...)

Display the distribution of the cross modalities between two variables:

ts_lag(...)

Allow to easily calculate lags over a desired period:

ts_visualisation(...)

Visualize in an interactive way the time series thanks to a selector:

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Set of time series useful functions

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