def raw_deaths(self) -> pd.DataFrame:
if self._raw_deaths is None:
self._raw_deaths = ined.read_ined_table(_INED_URL,
'RIVM_Data',
num_rows=20)
return self._raw_deaths
def raw_deaths(self) -> pd.DataFrame:
if self._raw_deaths is None:
raw_deaths = ined.read_ined_table(
_INED_PATH,
sheet_name='Combined_Information')
self._raw_deaths = raw_deaths
return self._raw_deaths
def raw_deaths(self) -> pd.DataFrame:
if self._raw_deaths is None:
self._raw_deaths = ined.read_ined_table(
_INED_URL,
'min-sau_Data',
skip_columns=[pd.to_datetime('2019-07-01')])
return self._raw_deaths
def raw_deaths(self) -> pd.DataFrame:
if self._raw_deaths is None:
raw_deaths = ined.read_ined_table(
_INED_PATH,
sheet_name='SpF_by age and sex_HospitalData',
skip_columns=[pd.to_datetime('2020-07-26')]
) # Temporarily skipping this column which has some text in it on 25 Aug
self._raw_deaths = raw_deaths
return self._raw_deaths
def raw_deaths(self) -> pd.DataFrame:
if self._raw_deaths is None:
self._raw_deaths = ined.read_ined_table(
_INED_URL, 'KCDC__by age and sex_Data')
return self._raw_deaths