def clean_data(data):
# drop problematic row with zero for asthma_rate
data = data.drop([141, 142, 149, 153, 158])
# replacing nans with zeros
data_nas = data.fillna(0)
# print('clean_data')
# print(type(data_nas))
return data_nas
def clean_data(data):
# drop problematic row with zero for asthma_rate
data = data.drop([141, 142, 149, 153, 158])
data_nas = data.fillna(0)
return data_nas
def fill_nans(data):
data = data[data.asthma_rate != 0]
data_nas = data.fillna(0)
return data_nas