What are the data visualization methods?

Data visualization can help users quickly grasp important information. Data visualization is a design process. Data visualization methods: 1. Size visualization; 2. Color visualization; 3. Graphic visualization; 4. Space Visualization; 5. Concept visualization,

The operating environment of this article: Windows 7 system, Dell G3 computer.

Data visualization method:

Data visualization method one: size visualization

This is the data visualization result for the graphics class For example, the same type of graphics are distinguished by different sizes, so that viewers can clearly see the different comparisons between data or indicators. Generally, the effect of data size visualization is used, which will make viewers Readers can see the data results more clearly at a glance, but when doing similar data visualization results, they still need to pay attention to the accuracy of the data and the accuracy of the graphics. For example, the analysis of user reviews of some websites and the analysis of corporate credit ratings often use this type of graphic effect.

Data visualization method two: color visualization

Use different colors in time to express different indicators or the depth of the color to express the strong or weak effect. In the process of using visualization, the use of color schemes is also very important. Color visualization is a commonly used method, and the highlighting effect is also obvious. If the visualization effect is obvious, the data results will be more convincing.

Data visualization method three: Graphic visualization

The graphics here can include many different patterns. You can directly use the graphics scheme in the template, or you can use some Graphic solutions with strong themes generally have strong practical significance in the process of graphic visualization. The display results of data charts will be more vivid, and the themes and effects that the data want to express will be stronger.

Data visualization method four: Spatial visualization

It is mainly combined with geographical location data and is generally used with maps. Spatial visualization can generally be used in conjunction with color visualization, etc. This allows users to have an intuitive understanding of the overall situation. At the same time, users can also directly click on a specific location to view detailed data.

Data Visualization Five: Concept Visualization

Mainly for some more abstract data results. The concept itself is an abstract object. How to make it easier for users to understand the data As a result, the use process of data visualization is very important. Through the transformation of leisure concepts, the data results are easier to understand.

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