In some news reports and business magazines, you will often see the use of maps to analyze and display business phenomena. Such a form of using maps to reflect and analyze data is called data maps . In the process of business data analysis, data maps are very intuitive and visual expressions, such as using maps to display sales and profits in various regions; for example, to display the distribution and transportation of warehouses across the country and to optimize the transportation network; Distribution, display with heat map, guide store distribution and drainage measures, and place accurate advertisements.
Similar to the above scenarios, the display of the map will undoubtedly be more intuitive than the simple table. As a more professional application, the data map has a wide range of analysis applications in the following aspects.
1. Crowd distribution
According to demographic data such as age, gender, income level, education level, etc., customers in different regions/communities are profiled and classified on the map, and data is analyzed on their lifestyles, interests, shopping habits, etc.
2. Market capacity forecast
Analyze the resource input, sales revenue, and product sales of each outlet on the map, predict the capacity of the entire market, and scientifically allocate resources to areas with the greatest market potential.
3. Logistics route planning and supply chain management
For example, through such a data map, you can understand the distribution of orders, whether the warehousing settings are reasonable, and analyze how to optimize the logistics route.
4. Store location analysis
The location selection of chain stores and catering stores usually needs to consider many spatial factors. Using maps can intuitively display indicators such as passenger flow and single square capacity, which is a good way to carry out market planning.
distribution
FanRuan 's data map method is to add different colors or different levels of colors to the corresponding areas according to the size of the data. The depth of the color reflects the size of the value, such as the figure below.
From the picture above, the data currently displayed is a single dimension, such as the distribution of national sales. If you want to subdivide it into sales in Xi'an, Shaanxi, for example, you can technically obtain it through drilling and analyze the data at multiple granularities.
(Picture made by FineReport)
Marker
The marker map is to play a role as a location reminder. It can be used as a point or a graphic, allowing readers to visually correspond the content they read to their geographic location. Such a map itself does not reflect quantitative information, but may reflect a location, a flow direction, and the distribution of density, but it reduces the abstraction of data analysis.
(The picture above is made by FineReport)
Graphical
A chart-type map is to display a simple chart, such as a column chart, pie chart, and bubble chart, on all or part of the area, adding an additional basic dimension in disguise to make the data results clear at a glance. Charts are used to directly display data trends in that area, compare or form relationships. The figure below is the combination of the area map and the bubble chart. The light and shade of the bubbles represent the numerical value. The chart of the chart type map should not be complicated, pay attention to the proportion. Complex data can be drilled.
other
There are other complex styles for data maps, such as heat maps, custom area maps.
Comprehensive use
This approach makes a comprehensive use of the above map forms, adds dynamic maps, dynamic charts, or combines with other charts to form a large visual screen.
This article first published CSDN: http://blog.csdn.net/liukecun0614/article/details/74961866