Ayushijain09/Missing_Values.py

## Missing_Values.py
print(df_train.isnull().sum()/len(df_train)*100).nlargest())
#output => Returns the 5 largest values from the series. No missing values in automobile dataset, so all shows 0%.
"""symboling     0.0
   doornumber    0.0
   wheelbase     0.0
   carlength     0.0
   carwidth      0.0
   dtype: float64"""
	print(df_train.isnull().sum()/len(df_train)*100).nlargest())
	#output => Returns the 5 largest values from the series. No missing values in automobile dataset, so all shows 0%.
	"""symboling 0.0
	doornumber 0.0
	wheelbase 0.0
	carlength 0.0
	carwidth 0.0
	dtype: float64"""