Text display best practices
The third part of this blog describes best practices when implementing text-based visuals and how to avoid pitfalls.
Textual data can be large and complex, so it needs to be simplified to make it more useful for analysis. Simplifying and organizing data in a structured format is a top priority when performing analysis with data analysis tools. The key here is to retain important information that can provide valuable insights. This data preparation helps to organize and optimize the visualization of your data.
Choosing the right visualization technique
Choosing a visualization technique that is compatible with the goals and nature of the textual data is one of the most important aspects in performing this analysis. Depending on the information you want to convey, consider techniques like word clouds, bar charts, network charts, scatter charts, or tree diagrams. For example, you can use easy-to-understand bar charts for discrete data, while you can use network charts and scatterplots for more complex data and to identify relationships between features.
Design effective visualizations
Visual attractiveness is crucial when presenting text, as it presents data aesthetically. Consider colour choices, layout, contrast, and overall aesthetics to create visually appealing and engaging renderings. However, the main purpose is to present the data for analysis purposes. It must not be at the expense of legibility and aesthetics.
Creating interactive visualizations The
‘s interactive features allow users to interact with data, providing a more engaging way to interpret data. Consider adding features like filtering, searching, zooming, or combining to provide more flexibility and allow users to drill down into specific details. Customers are increasingly aware of the data surrounding them and want to see how different scenarios play out. This ability to interact with data is essential as it increases customer retention.
evaluation and iteration
Check the effectiveness of your text views by testing them with representative users. Gather feedback, identify potential improvements, and revise your designs to ensure your images convey the information you want effectively. Completing this exercise is essential to continually improve your data visualization process and reap the benefits of text visualization.