`bucky.data.clean_historical_data`#

Submodule to clean and preprocess the covid data.

Module Contents#

Functions#

`clean_historical_data`(csse_data, hhs_data, adm_mapping, fit_cfg, force_save_plots=False)	Preprocess the historical data to smooth it and remove outliers.
`mask_outliers`(ts, window_size=3, frac_err_max=0.1)	Find unusual outliers in timeseries compared to other time-local values.
`plot_historical_fits`(csse_data, hhs_data, adm_mapping, fitted_data, valid_adm1_case_mask, valid_adm1_death_mask)	Plot the fitted historical data for review

bucky.data.clean_historical_data.clean_historical_data(csse_data, hhs_data, adm_mapping, fit_cfg, force_save_plots=False)[source]#: Preprocess the historical data to smooth it and remove outliers.

bucky.data.clean_historical_data.mask_outliers(ts, window_size=3, frac_err_max=0.1)[source]#: Find unusual outliers in timeseries compared to other time-local values.

bucky.data.clean_historical_data.plot_historical_fits(csse_data, hhs_data, adm_mapping, fitted_data, valid_adm1_case_mask, valid_adm1_death_mask)[source]#: Plot the fitted historical data for review