Imports of Other and Used gets dropped

https://github.com/USEPA/USEEIO/blob/c4eb1700cdaf1345a584a81dbf94e74f2e3f8681/import_factors_exio/useeio_imports_script.py#L208-L220

There are significant imports of Other goods and some of Used goods (see rows from t_df from 2012 these are in million current USD)

IOCode | CA | CN | EU | JP | MX | APAC | ROW
-- | -- | -- | -- | -- | -- | -- | --
Used | 2907 | 325 | 1456 | 179 | 713 | 360 | 578
Other | 7766 | 3381 | 55516 | 12738 | 5021 | 15549 | 20653

 but they get dropped after this merge because they are not in the [concordance](https://github.com/USEPA/USEEIO/blob/import_factors/import_factors_exio/concordances/bea_imports_corr.csv).  

These would account for substantial embodied emissions and need to be handled. 








	t_df = get_tiva_data(year)
	corr = (pd.read_csv(conPath / 'bea_imports_corr.csv',
	usecols=['BEA Imports', 'BEA Summary'])
	.drop_duplicates())
	# ^^ requires mapping of import codes to summary codes. These codes are
	# between detail and summary.

	t_c = (t_df
	.reset_index()
	.rename(columns={'IOCode': 'BEA Imports'})
	.merge(corr, on='BEA Imports', how='left', validate='one_to_many')
	.drop(columns='BEA Imports')
	.groupby('BEA Summary').agg('sum'))

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Imports of Other and Used gets dropped #23

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IOCode	CA	CN	EU	JP	MX	APAC	ROW
Used	2907	325	1456	179	713	360	578
Other	7766	3381	55516	12738	5021	15549	20653

Imports of Other and Used gets dropped #23

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