In this chapter, we will cover how to clean up your data and prepare it for modeling. You will learn the following recipes:

• Handling duplicates
• Handling missing observations
• Handling outliers
• Exploring descriptive statistics
• Computing correlations
• Drawing histograms
• Visualizing interactions between features