Visualizing data in Seaborn

Seaborn is another common Python data visualization library. It is based on matplotlib and integrates well with pandas data structures. Seaborn is primarily used for making statistical graphics, and this makes it a very good candidate for performing EDA. It uses matplotlib to draw its charts; however, this is done behind the scenes. Unlike matplotlib, seaborn’s high-level API makes it easier and faster to use. As mentioned earlier, common tasks can sometimes be cumbersome in matplotlib and take several lines of code. Even though matplotlib is highly customizable, the settings can sometimes be hard to tweak. However, seaborn provides settings that are easier to tweak and understand.

Many of the important terms considered under the previous recipe also apply to seaborn, such as axes, ticks, legends, titles, labels, and so on. We will explore seaborn through some examples.

Getting ready

We will continue working with Amsterdam House Prices Data...