Data visualization tools can intuitively display the analysis results in graphical charts, such as the large-screen data visualization reports on Tmall Double Eleven every year, and the epidemic data analysis reports on previous platforms, etc., which are basically done in a visual form. The viewer can understand the data situation at a glance. So, how well can the reports made by data visualization tools understand? We can take a look at a few screenshots of data visualization reports!
1. Combine analysis charts and maps to analyze data linkage
The map here can be a Baidu map, or it can be made and added by yourself. The visual chart of Aowei Town in Figure 2 obviously uses the actual project map.
A linkage analysis relationship can be established between the map and each visualized chart. When the user clicks on a certain place on the map, other charts can simultaneously carry out data analysis around that place. In this way, the viewer can grasp the data more intuitively and faster. At the same time, Aowei BI data visualization tool can also use maps to dynamically display effects such as movement trajectories.
2. According to specific analysis scenarios, use more targeted visualization charts
For example, if you want to analyze and show that customers are satisfied with products and services, you must use a score chart. For example, if you want to show the effective conversion rate in stages, you have to use a funnel chart. Whether it is a comparison funnel chart, a combined funnel chart or other types, you have to continue to see your specific display needs.
Aowei BI data visualization tool has dozens of different types of visualization charts suitable for different analysis scenarios, which can meet the needs of different industries and different data visualization analysis.
3. Multi-dimensional dynamic self-service analysis makes data visualization more possibilities
In the browsing state, users can modify the combination of fields and dimensions at any time according to the changes in analysis requirements, so as to obtain data visualization analysis from different angles.
Using Aowei BI data visualization tools for data visualization can not only display the results intuitively and easily, but also analyze the data layer by layer through functions such as multi-dimensional dynamic self-service analysis, intelligent drilling, and multi-graph linkage to visualize the analysis process. . This kind of data visualization analysis allows the viewer to understand the data more intuitively, which is helpful for data decision-making.