Handling Missing Data with Python Pandas
Missing values are an important part of actual data analysis. In actual production, there are always a lot of missing values. How to deal with missing values is a critical and important step. I had the bad experience of messing up a project because I don't know how to deal with the missing data in my workplace. Although the manager somehow finds the other data source to fulfill the null data, I was still be blamed for the ability to perform the analysis. With my skill set increased, I...