In actual work, we will find that the data is not a single point, but contains complex hierarchical data. How to visualize and analyze complex hierarchical data ? Plot multiple levels of data into the same chart ?
In terms of the intuitiveness of data analysis , words are never as intuitive as charts . Many times, we have to use pie charts , but is the traditional pie chart too monotonous? But don't know how to achieve multi-chart linkage? What's the best way to deal with complex data hierarchies ? Today, I will introduce multiple pie charts and nested ring charts , which can help you expand your thinking.
Multiple pie charts, nested ring charts - one table and multiple charts without taking up space
If multiple pie charts are linked by linkage, although multiple charts can be integrated into one chart , it will take up too much report space. At this point, we can use multiple pie charts or nested doughnut charts.
The production steps have been explained to you before, so let's review them again:
1. First enter the platform, after creating a new project and page, go to Components - Pie Chart - Multiple Pie Charts and Nested Ring Charts , and drag the components to the appropriate position. As shown below :
2. Now it 's time to upload the data, click [Data] on the right, paste the prepared data in the simple configuration mode or directly click the cell to modify it. Modify and adjust the type, grouping, etc. according to the actual data level.
Of course, if you are a god, you can also configure it in the professional configuration mode and choose according to your needs.
3. After the data is processed, click [Properties] on the right to adjust the details of the chart, such as title, color, font, animation and other information. The whole process of visual setting, quick response, immediate effect , and random adjustment, until you are satisfied.
A simple three-step process can be completed. Is it a very simple operation to realize the visual display of complex level data and realize multi-picture linkage?
In addition, the operation steps of the nested ring chart can also be carried out according to the above three steps, which can realize the visual display of multi-level data simply and quickly .
Finally, let's show the application case to easily realize the display of complex hierarchical data analysis . Multiple pie charts can be used to analyze and display the sales of different products in stores A and B. The outer circle of the nested ring chart is the proportion of sales of major categories, and the inner circle is the proportion of sales of sub-categories. Multi-level data linkage analysis can be realized with one click .
Visual interactive platform, and more chart components, can meet your different needs of complex big data analysis !