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全国34市5,777手表店数据库: 经营品牌, 地址, 电话 China 5,777 Watches Stores Data: Management Brands, Address, Tel. in 34 Cities

Name	n3_chennan_CS_shoubiaodian_biao12_com
Data	2.64M (+ 0B)
Tables	3 (+ 0)
Columns	17 (+ 0)
Table Rows	11,588 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

这是一个来自全国34个城市的5,777个手表店。每个手表店中包含有经营品牌，地址和电话。该全国手表店信息数据库中共有3个表。

This is a database of wathces stores having 5,777 records from 34 cities in China. Each record is comprised of management brand, address and telephone number. The whole Chinese watches shops database totally has 3 tables.

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/gesheng_mingbiaodian/ (By Table)

Tables + Columns
Media Files
Updates
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Tables & Columns

Tables	Rows	Columns	Non-empty
shoubiaodian	5,777	dianhua	81.77%
		title	100%
		jingying_pinpai	99.12%
		dizhi	99.95%
chengshi	34	title	100%
chengshi_x_shoubiaodian	5,777	shoubiaodian_id	100%
chengshi_x_shoubiaodian	5,777	chengshi_id	100%

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)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	2.64M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	2.64M (- 16K)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	2.66M (+ 0B)	3 (+ 0)	17 (+ 0)	11,588 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13	2.66M	3	17	11,588	0B	0

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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.