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The editor will share with you what are the characteristics of big data's visualization. I hope you will gain something after reading this article. Let's discuss it together.

Big data visualization features: 1, interactivity, the need to drill down, drill up, filter, introduce new data or create other views of the data; 2, multidimensionality, its classification, sorting, combination and display; 3, visibility, data can be displayed with images, curves, two-dimensional graphics, three-dimensional volume and animation.

The characteristics of big data's visualization:

1. Interactivity: visual analysis is the process of obtaining data, representing data one-way, paying attention to the results and asking follow-up questions, which may need to drill down, drill up, filter, introduce new data or create other views of the data.

2. Multidimensionality: data visualization must be flexible enough to illustrate various problems, and data can be classified, sorted, combined and displayed according to the value of each dimension.

3. Visibility: data can be displayed with images, curves, two-dimensional graphics, three-dimensional bodies and animation, and their patterns and related relationships can be visually analyzed.

After reading this article, I believe you have a certain understanding of "what are the visual characteristics of big data". If you want to know more about it, you are welcome to follow the industry information channel. Thank you for your reading!

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