Data visualizations aim to represent data in highly visual, easy-to-understand ways. There are two types of data visualizations: interactive and non-interactive. What sets them apart is an option for the end user to engage with the visualization’s data. Non-interactive data visualizations are static and simple, such as pie or bar charts. They are easy to build but don’t offer the end user ways to engage with the data. Interactive data visualizations, on the other hand, require user engagement, such as clicking a button or moving a slider. These engaging features allow you to dive deeper into the data and answer specific queries. Let’s take a look at the features and use cases of each visualization type. Non-interactive Data Visualization Interactive data visualizations are highly eng

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