When it comes to visualizing data, a **box plot** and a **violin plot** are two common ways to show the distribution of the data. They have some similarities but also some differences.

A **box plot** is a chart that shows the middle 50% of the data using a box. It also shows the minimum and maximum values, as well as any outliers in the data. A box plot is useful for showing how the data is spread out and for identifying outliers.

On the other hand, a **violin plot** is a chart that shows the distribution of the data using a combination of a box plot and a density plot. It shows the same information as a box plot but also shows the shape of the distribution of the data using a density curve.

**So, when should you use a violin plot instead of a box plot?**

A violin plot can be useful when you want to show the shape of the distribution of the data in addition to the information provided by a box plot. It’s also useful when you have a larger dataset, as it can show more information about the data distribution.

However, a box plot can be useful when you want to focus on the** central tendency** of the data and the spread of the data. It’s also useful when you want to identify any **outliers** in the data.

So, while both a box plot and a violin plot can be useful for visualizing data, a violin plot can be a good choice when you want to show the shape of the distribution of the data in addition to other information.