Radar charts , also known as spider web charts, are suitable for displaying variables in three or more dimensions . The most familiar to everyone is the data analysis in the game (as shown below).
A radar chart is a method of displaying multivariate data in the form of a two-dimensional chart showing three or more variables on axes starting at the same point, where the relative positions and angles of the axes are often meaningless. Each variable of the radar chart has an axis radiating from the center, all axes have equal angles, and each axis has the same scale, and the axis-to-axis scales are linked with grid lines as auxiliary elements , connecting the data points of each variable on its respective axis into a polygon.
Today, Xiaobian will take you to understand intelligent data visualization - radar chart. First, enter the platform to complete the registration and log in and create a new page. Here, Xiaobian creates a new radar chart test page, finds other icons and selects the radar chart, and a hexagonal radar chart will appear on the screen:
But how to modify the data in the graph and actually use it? We click on the data on the right side of the screen, and we can see that the default is simple configuration, which can be modified on the existing table;
Professional configurations are also available, as well as fixed templates to choose from.
As can be seen from the above figure, there are two groups of data in the radar chart, one is for the whole hospital and the other is for ophthalmology. Each type of data is displayed in 6 months. We try to add the data for July. After the modification is completed, the graph changes with Changed into a heptagonal figure:
If there is a lot of data, the platform can also support template import. The platform provides template download, and you can upload it after modification.
The configuration of attributes is relatively simple, and you can configure it according to your needs, so I won't explain it too much here.
Finally, apply the radar chart to the big data visualization screen to see the overall effect.
The functions provided by the platform truly realize data visualization. Other online data visualization functions such as: Sankey diagram, scatter plot, various maps and other components will not be demonstrated one by one.