About 10 regular background management data visualization design notes

Why data visualization design is very important?

Data Visualization A user object is presented in a form easier to understand complex information.

An excellent data visualization interface includes the following key elements:

Clear: a good visual interface data must be able to clearly show the user the information required. When the user interface to see the content, you should be able to understand its use within 5 seconds, instead of spending at least a few minutes to understand the meaning of the data.
Meaningful: a useful data visualization on the screen every piece of information should be meaningful. These can accurately convey meaningful information content designers want to express. Behind every piece of data, users are able to read the.
Consistency: Excellent data visualization interface, there will be a very rigorous and consistent layout. Consistency needs to be considered here is the layout, structure and content.
Simple: Complex data visualization interface design contrary to the original intention. If the information presented is not a simple and direct, then certainly there is a problem in the design.

How to design a data visualization interface?

The most important step data visualization interface design is the need to understand who the target user is able to provide any value for them. Understanding the target audience knowledge and understanding of the background can help you make them valuable design.

In understanding the target audience, it is necessary to understand the type of data of interest to the audience.

"Focus on the needs of users, they are more likely to prefer to use the results."

Target user level may be between one level and another change, this is a challenging point. And any other design projects, and the segment can be divided into the basic information of the corresponding content and premium content.

In the interface represents a set of information has a variety of methods to choose the right index data is design data visualization another key element. This is also the target user's preferences about, that they want to see what kind of information.

"According to the need to design data visualization interface, use a different type of show the way different business."

Here are some important rules to consider when designing for the target user data visualization interface.

1. distinguish levels

A common mistake is that designers do not all look the same content important to distinguish the hierarchy of information.

Size and position can be used to try to distinguish the components of the hierarchical data.

By defining the hierarchy of information, allowing users to understand what is most important
More importantly, the information displayed in the upper left corner, in a diagonal direction, the importance of information should in turn weakened the importance of information on the lower right corner of the weakest
Further information can be divided into different categories, and displays them in different views