In other words, Meng Xiao Tofu Factory and Yutian Royal Garden have been growing in recent years, and Xie Dajiao, as the spiritual idol of middle-aged and elderly men in ivory mountain, is no less. With the golden signboard of Bigfoot Supermarket and the financial support of Wang Dana, Bigfoot successfully expanded a number of stores, and with the help of Liu Dazhangmen, who has rich management experience, Bigfoot Supermarket Chain Store grew bigger and bigger, and its business was booming, shouting out the first stage of "going out of ivory mountain and opening all over Northeast China".
The following three charts are statistical tables of stores in Bigfoot Supermarket created in the SeaTable table. Through the store addresses on the visual map, we can see that the stores are mainly concentrated in the Northeast, and the first-stage store expansion goal has been basically achieved.
The geographical distribution of shops is as follows:
The default view is as follows:
You can switch between multiple views as follows:
In the above table:
Let's see:
For the column of geographical location, select the "Address" type. You can directly select the address of the province, city, district and county in this column, and then customize the detailed address. This makes the input address more convenient and standardized.
Click to install the "Map" plug-in in the plug-in market, it will be installed automatically after a few seconds, and then click to put it in the toolbar. At this time, you can directly click the "Map" plug-in in the toolbar to display the location of the store on the map.
In order to switch and view data from different angles conveniently, you can add multiple views, and then set different filtering, sorting, grouping and other conditions on each view as needed.
For example:
Open the view by year (grouped by year), as shown below:
View by province (store address grouped by province), as shown below:
According to the city view of Liaoning Province, select the stores in Liaoning Province and group the store addresses by city, as shown below:
In the default view, create a statistical table, select the column chart form, select the opening date by year on the X axis, and select counting on the Y axis to complete the statistics.
Click the column chart to view its corresponding statistical records.
Through the analysis of statistical cases of supermarket stores, we can see that:
Of course, in addition to convenient input of store addresses and map visualization, this form of online collaboration can also do many things, such as store customer management, sales record and management, employee information management and so on. , which can greatly facilitate the management of stores.
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