processing (1) 썸네일형 리스트형 Missing value processing. In a real-world, There a ton of missing values, It makes the variables confused. So we need to fix them appropriately. Here is the sample data set. df.head() First of all, we could see the missing values roughly. df.isnull.sum() And we could visualize it. It is my go-to way. total = df.isnull().sum().sort_values(ascending=False) percent = (df.isnull().sum()/df.isnull().count()).sort_values(ascen.. 이전 1 다음
