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Why should we visualize under big data?
Map visualization is used to analyze and display data related to geographical location and present it in the form of actual map. This kind of data expression is more clear and intuitive, which makes people see at a glance, and it is convenient for everyone to dig deep information and better assist decision-making. There are administrative maps, heat maps, statistical maps, trajectory maps, bubble maps and other cool forms.

1. administrative map: there are two presentation forms in BDP: area map (figure 1) and bubble map (figure 2). If your data involves the administrative region of the motherland and you need to show the data of different provinces of the enterprise on the map, then this form must be suitable for you. Most importantly, the map has the function of drilling, and you can click on the regional location to understand the underlying data (for example, Fujian Province-Fuzhou City-Gulou District). Multi-layer drilling can help you understand the business in depth, and you can find the source of the problem in the first place if you have any problems.

2. Heat map: Fine to latitude and longitude, heat map is used in many scenarios. For example, logistics enterprises can find the most scientific warehouse location, plan the best distribution route, better allocate resources and save money by matching the number of regional orders and warehouse locations.

3. Statistical chart: fine to latitude and longitude, map+statistical chart combination.

4. Trajectory map: Fine to latitude and longitude, and analyze the changes of different trajectories.

5, bubble map: fine to latitude and longitude, bubble symbols in various forms.

6. Point map: Fine to latitude and longitude, forming a point distribution.

The above maps and charts are from bdp personal edition. In addition to maps and charts, dozens of data charts are supported. Drag and drop to select chart type.