How do I handle missing data in my dataset?

How do I handle missing data in my dataset?

Handling missing data can be approached in several ways. You can remove missing values, fill them in, or use algorithms that support missing data.

What are some common methods to fill in missing values?

Common methods include using the mean, median, or mode of the column, or employing more advanced techniques like interpolation or predictive modeling.

Are there any risks associated with filling in missing data?

Yes, filling in missing data can introduce bias if not done carefully. It's important to understand the nature of the missing data before deciding on a method.

How can I identify which data is missing?

You can identify missing data by using functions in your programming language of choice, like isnull() in Python's pandas library, which will help you locate missing entries.