What is data visualization

Data visualization is the use of various types of charts and graphical design means of complex and unintuitive data is logically presented, and data visualization tools are the software that generates this presentation. Data visualization provides users with an intuitive means of interactively exploring and analyzing data, enabling them to effectively identify interesting patterns, infer correlation and causation, and thus guide business decisions and uncover the business value behind the data.

Big Screen Visualization Design Methodology

Accurately Grasp Business Requirements

Design is ultimately about powering the business, and accurately understanding the business requirements is crucial, and it will be present throughout the entire design, and is a necessary prerequisite for the start of visualization design. How to solve the user's problems and accomplish the set goals requires the designer to have a more accurate understanding of the requirements. A direct and effective way to do this is to "communicate and collaborate".

Graphical method selection

Needs and data to determine the next is the choice of data graphical, different objectives of different data for the charts to show the choice is also a matter of concern, such as: part of the overall proportion (as a percentage of the overall proportion) is more suitable for the choice of pie charts, graphical used to reflect the trend of changes in time is more suitable for the curve diagrams, etc., in short, the different dimensions of the data to show the choice of the charts are different. Charts are different. The same set of data, the existence of multiple charts with the display, how to choose the most appropriate chart is crucial, appropriate and effective charts to help effectively communicate information. When you encounter specific data, you need to choose the best chart to present it based on the dimensions of the data and the business goals you want to express.

This is one of the more accurate ways to select visualization charts, which can be used as a basis for selecting data visualization charts, and can help to accurately and quickly graphically represent the data.

First, according to the business objectives combined with the data dimensions to determine the relationship between the big (comparison, division, composition, linkage), followed by the selection of appropriate charts, fill in the data design layout can be. To this step of the chart is basically shaped, but more basic, in order to visual effect and data communication, but also on the basis of the optimization of the design.

Determination of the design size

Visualization of the large screen is generally a multi-screen splicing or LED \ LCD and other materials screen. Different screen display pixels, physical pixels are different, for example, the same 3 * 2 splicing screen, the output pixels can be X1 * Y1 can also be X2 * Y2. This creates a lot of potential problems, the beginning of the design of the screen hardware and splicing method needs to be determined in advance. There are basically two ways, simply put, method one, the splicing screen can be spliced in accordance with the total number of horizontal and vertical pixels design (splicing screen pixels can be scaled up and down). LED / LCD screen design is the same principle. Method 2, according to the hardware output pixel design, the output pixel of the hardware device must be proportional or coincide with the whole splicing screen. So according to the output pixel design is possible.

Page design and layout

Screen splicing and screen material to determine the way, you can carry out the design and layout of the page, the layout of the page is mainly based on the business and the importance of the data to the degree of the design, usually put the core data points in the middle, on the one hand, the middle is the center of the visual center, and secondly, is the most easily conveyed to the audience of the core location. Other data on both sides, arrange the data must consider the relevance of the data and linkage, should consciously put the relevant data together, when a group of data changes when the linkage effect is more prominent, easy to convey the value of the data. If it is a spliced screen, remember to avoid the data in the design of the splicing seam, the page layout should be considered when the screen splicing method, try to display the data in the screen in an orderly manner, and reasonably avoid the splicing seam to reduce the impact on the user's perceptions.

Determination of design style

Determination of style is also crucial, first of all, should determine the application scenarios, to give full consideration to indoor, outdoor, light, lighting, hardware and other factors. Design is connected, available UI way to define the visualization design style, AB test, mood version and so on. The point where the difference is more significant is the environment of the application scenario.

Hardware equipment proofreading

When the style page to determine the first do not rush behind the page design, if possible, at this time it is best to take the design to the site field test. Determine whether the site hardware color problems, text size in the appropriate viewing distance is clearly visible, whether the site lighting illumination has an impact on the design, splicing seams and data is not interspersed, the hardware equipment output is matched with the design and so on. After confirming that there is no error, we will carry out the page design work later.

SovitChart is a free online data visualization platform tools, based on the Echarts open source API development of data chart visualization interface development tools, built-in rich component templates for various industries, no coding just drag and drop controls through the mouse to design a beautiful chart visualization web page, while it can be convenient to bind with the back-end data to achieve data-driven page changes. You can also easily bind to back-end data to realize data-driven page changes and cool chart displays.