What are UX Patterns in data visualizations?

User experience (UX) patterns in data visualizations refer to the established design principles that enhance how users interact with and understand visualized data. These principles guide the layout, color schemes, typography, and interaction methods used in visualizations, ensuring they effectively communicate information to the audience. By applying UX patterns, designers can create visualizations that are not only aesthetically pleasing but also intuitive and easy to interpret, allowing users to derive insights quickly and efficiently from the data presented.

In contrast, trends in data collection pertain to the methodologies or shifts in how data is gathered, which does not specifically deal with the presentation of data. A database structure refers to how data is organized and stored, which is unrelated to the visual aspect of presenting that data. Statistical analysis techniques involve methods to process and analyze data, rather than focusing on how that data is visually displayed to enhance user understanding. Thus, the focus on user experience design principles in visualizations solidifies the importance of B as the correct selection, highlighting its role in creating effective data presentations.