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全国101,454药店数据库: 地址, 电话, 省, 市 China 101,454 Chemist's Shops API: Address, Province, City, Tel.

Name	n3_chennan_CS_yaodian_100yiyao_com
Data	29.06M (+ 0B)
Tables	1 (+ 0)
Columns	11 (+ 0)
Table Rows	101,454 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

全国101,454个药店信息数据库。每个药店有通讯地址，联系电话，营业时间，乘车路线，省份和城市。整个全国药店信息数据库只有1个表。

This China chemist's shops database is filled with 101,454 records with address, telephone number, business hour, bus line, province and city in each. The whole China chemist's shops data set totally has only 1 table.

Data Samples

Main List (for Desktop / for Mobile) / JSON / XML / Excel / CSV (Download CSV) / View by Table

Data APIs

http://n3.datasn.io/data/api/v1/n3_chennan/quanguo_yaodian/ (By Table)

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
yaodian	101,454	chengshi	97.89%
		title	100%
		tongxun_dizhi	100%
		lianxi_dianhua	49.82%
		yingye_shijian	4.38%
		chengche_luxian	0%
		shengfen	97.89%

Notes:

Meta columns id and ts are not shown here, but included in columns total.
Some statistical or memo columns are not shown here, but included in columns total.
Non-empty percentage indicates the percent of values that are non-empty for that particular column.

Media Sets

No media sets.

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	29.06M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	29.06M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	29.06M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	29.06M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	29.06M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	29.06M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	29.06M (+ 1.97M)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	27.09M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	27.09M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	27.09M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	27.09M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	27.09M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	27.09M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	27.09M (+ 0B)	1 (+ 0)	11 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	27.09M (+ 3M)	1 (+ 0)	11 (+ 5)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	24.09M (+ 0B)	1 (+ 0)	6 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	24.09M (+ 0B)	1 (+ 0)	6 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	24.09M (+ 0B)	1 (+ 0)	6 (+ 0)	101,454 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12	24.09M	1	6	101,454	0B	0

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Select a membership plan and sign up. Return to this page, click Online Query to access the API query maker. Create and open an API call to acquire the data.
Why are data size increments not in line with those of number of rows?

The scanning and profiling of data size increments are done separately from those of the number of rows.