Data visualization is something which is needed every now and then from the time you take on a data science assignment. Before building any model, preferably, you will have to visualize each variable to see their distributions to understand their characteristics and also find outliers so you can treat them. Simple tools such as scatterplot, box plot, bar chart, and so on are a few versatile, handy tools for such purposes. Also, you will have to use the visuals in most of the steps to ensure you are heading in the right direction.

Every time you want to collaborate with business users or stakeholders, it is always a good practice to convey your analysis through visuals. Visuals can accommodate more data in them in a more meaningful way and are inherently intuitive in nature.

Please note that most data science assignment outcomes are preferably represented through visuals and dashboards to business users. We already have a dedicated chapter on this topic, so we won't go deeper...