What are the characteristics of big data visualization?

Characteristics of big data visualization: 1. Interactivity, which requires drilling down, drilling up, filtering, introducing new data or creating other views of the data; 2. Multidimensionality, classifying and sorting it, Combination and display; 3. Visibility, data can be displayed using images, curves, two-dimensional graphics, three-dimensional bodies and animations.

Characteristics of big data visualization:

1. Interactivity: Visual analysis is to obtain data, one-way representation data, the process of noting the results and asking follow-up questions that may require drilling down, drilling up, filtering, bringing in new data, or creating additional views of the data.

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

3. Visibility: Data can be displayed using images, curves, two-dimensional graphics, three-dimensional bodies and animations, and its patterns and correlations can be visually analyzed.

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