Commercial district division method and system
A technology for business districts and sub-business districts, applied in the field of business district division methods and systems, can solve problems such as the inability to dynamically reflect the development and dynamic structure of business districts in a timely manner, and achieve the effects of low personnel costs and short implementation cycles.
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Embodiment 1
[0037] Such as figure 1 As shown, it is a flow chart of the business district division method in the embodiment of the present invention, and the method includes the following steps:
[0038] Step 101, obtaining the data information of each shop within a preset range and time;
[0039] Specifically, the preset range may be limited to a certain district of a certain city, and the preset time may be limited to half a year or a year.
[0040] Specifically, the data information of the store may include: the address information of the store, the business scope of the store, and the transaction information of the store within a predetermined time. Obtained from Google Maps, etc.; the transaction information may include the transaction volume and transaction value, which can be crawled by crawlers to group-buying websites, and estimated by the number of comments, replies, and recommendations; in addition, the above data Information can also be obtained through cooperation with fina...
Embodiment 2
[0076] Corresponding to the method for dividing business districts in the first embodiment above, the present invention also provides a system for dividing business districts, such as Figure 7 As shown, the system 70 includes:
[0077] Obtaining module 71, used to obtain the data information of each store in the preset range and time;
[0078] Specifically, the preset range can be limited to a certain district of a certain city, and the preset time can be limited to half a year or a year;
[0079] Specifically, the data information of the store may include: the address information of the store, the business scope of the store, and the transaction information of the store within a predetermined time. Obtained from Google Maps, etc.; the transaction information may include the transaction volume and transaction value, which can be crawled by crawlers to group-buying websites, and estimated by the number of comments, replies, and recommendations; in addition, the above data In...
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