Best Practices for Effective Visualization Design
There are 7 principles of Effective visualization design such as
- Identify the suitable visuals to your data.
- The design should be balanced (i.e., color, texture , shape and negative space).
- Highlight information according to your audience.
- Ensure that your visuals are simple and easy-to-understand.
- Add Interactivity to clarify doubts or queries.
- Establish pattern by using similar color and chart types.
- Compare the asects by aligning the data vertically or horizontally.
There are few aspects to be aware of and to be dealt with while in the process of data visualization, so that there would be effective communication and correct interpretation of the transmitted information.
1. Chart Junk
- Chart junk describes the unnecessary or distracting elements in a visualization that do not add value or convey meaningful information.
- Challenges include locating and cutting off chart junk, thus ensuring that visualizations are crystal-clear, easy to comprehend, and productive in terms of answering questions.
2. Compressing the Vertical Axis
- Vertical compression of a chart can cause data distortion and lead to misinterpretation of the data.
- It is necessary to be careful when picking the vertical axe scaling in order to correctly represent the data without any data compression which may exaggerate or hide the differences in it.
3. No zero point on the vertical axis
- There is no such a thing as zero point on a chart both on the horizontal and vertical axes of a graph that may lead to bigger gradients and thus, the result is the possibility of disillusionment of an observer.
- Actually, to make the graph more appropriate, the zero point must be positioned completely parallel to the z axis.
12 Useful Ways to Visualize Your Data (with Examples)
In today’s data-driven world, Data visualization is a powerful tool for getting insights and trends that are effectively communicated by businesses, researchers, and individuals alike. The sheer volume of data generated every day makes it increasingly important for ways to be found to make sense of it all.
Hence, Data visualization is not just about creating pretty charts and graphs; it’s about telling a story with your data. When done correctly, it can help you to:
- Identify areas for improvement
- Optimize processes
- Make predictions
- Inform strategic decisions
- Communicate complex ideas simply
In this article, we’ll explore 12 useful ways to visualize your data, along with examples.