Open knageswara78 opened 6 years ago
train.isnull().sum()
a = train.isnull().sum()/len(train)*100
variables = train.columns variable = [ ] for i in range(0,12): if a[i]<=20: #setting the threshold as 20% variable.append(variables[i])
Adding the variables having less than 20% missing values.
Check missing values in whole data
train.isnull().sum()
saving missing values in a variable
a = train.isnull().sum()/len(train)*100
saving column names in a variable
variables = train.columns variable = [ ] for i in range(0,12): if a[i]<=20: #setting the threshold as 20% variable.append(variables[i])