What should I do if I have missing data in my dataset?

What should I do if I have missing data in my dataset?

You can handle missing data in several ways, such as removing, imputing, or using algorithms that support missing values.

What is imputation, and how does it work?

Imputation is the process of replacing missing values with substituted values, like the mean or median of the available data.

Are there any risks associated with imputation?

Yes, imputation can introduce bias if not done carefully, as it may distort the underlying data distribution.

What techniques can I use to identify missing data?

You can use visualizations like heatmaps, or statistical methods to identify patterns of missing data in your dataset.