Description

Learn how to identify and correct errors in categorical variables, eliminate sparse classes, and visualize distributions. Remove unwanted observations, identify and eliminate null values in a dataset.

Learning Objectives

---

1. Identify and correct errors in categorical variables.
2. Identify and correct errors in continuous variables.
3. Eliminate sparse classes.
4. Visualize distributions with and without outliers.
5. Remove unwanted observations from the dataset.
6. Identify and eliminate null values in a dataset.
7. Visualize distributions by class.