Before you build a machine learning model, it’s important to understand your data visually. Just looking at the numbers, like you did in the previous lesson, may not be enough. A good chart can clearly reveal patterns in the dataset.
In this section, you’ll going to build a visualization to detect any outliers in the total_rooms feature.
Let’s get started.
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