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全国31省1,683律师数据库:专长领域,地址,电话,地区 China 1,683 Lawyers Data: Areas of Expertise, Address, Phone, Region in 32 Provinces

Name	n3_chennan_CS_lvshi_lawyer_110_com
Data	5.09M (+ 0B)
Tables	4 (+ 0)
Columns	27 (+ 0)
Table Rows	3,397 (+ 0)
Media	8.45M (+ 0B)
Files	1,681 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

全国31个省会城市的1,683个律师信息数据库。每个律师记录中有总积分，专长领域，地区，律师简介，电话，邮件，执业机构，执业证号，地址，积分，奖章和点击量。该全国律师数据库共有4个表。

This China lawyers database is filled with 1,683 records from 31 cities in China. Each lawyer is comprised of total score, speciality field, region, lawyer profile, telephone number, email, practicing institution, license number, integral, medal, clicks, etc. The whole China lawyers data set has 4 tables in total.

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/chinese_lawyer_information_2/ (By Table)

Media Files

lvshi_image ^{Bytes: 8.45M / Files: 1,681}

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
chengshi	31	title	100%
chengshi_x_lvshi	1,683	chengshi_id	100%
chengshi_x_lvshi	1,683	lvshi_id	100%
lvshi	1,683	title	100%
		zongjifen	100%
		zhuanchang_lingyu	97.98%
		diqu	100%
		lvshi_jianjie	99.88%
		dianhua	99.88%
		email	99.94%
		zhiye_jigou	99.94%
		zhiye_zhenghao	99.94%
		dizhi	99.94%
		jifen	65.78%
		jiangzhang	65.78%
		dianjiliang	99.88%

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

lvshi_image

Size (Bytes)	Files
8.45M	1,681

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	5.09M (+ 0B)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2023-01-01 (+ 95 d)	5.09M (+ 0B)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2022-09-27 (+ 271 d)	5.09M (+ 0B)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2021-12-30 (+ 115 d)	5.09M (+ 0B)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2021-09-05 (+ 150 d)	5.09M (+ 0B)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2021-04-08 (+ 68 d)	5.09M (+ 0B)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2021-01-29 (+ 120 d)	5.09M (+ 112K)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2020-10-01 (+ 38 d)	4.98M (+ 0B)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2020-08-23 (+ 141 d)	4.98M (+ 0B)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2020-04-04 (+ 196 d)	4.98M (+ 0B)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2019-09-21 (+ 197 d)	4.98M (+ 0B)	4 (+ 0)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 0B)	1,681 (+ 0)
2019-03-07 (+ 43 d)	4.98M (+ 976K)	4 (+ 1)	27 (+ 0)	3,397 (+ 0)	8.45M (+ 8.45M)	1,681 (+ 1,681)
2019-01-23 (+ 44 d)	4.03M (+ 0B)	3 (+ 0)	27 (+ 0)	3,397 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	4.03M (+ 0B)	3 (+ 0)	27 (+ 0)	3,397 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	4.03M (- 32K)	3 (+ 0)	27 (+ 0)	3,397 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	4.06M (- 1M)	3 (+ 0)	27 (- 1)	3,397 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	5.06M (+ 0B)	3 (+ 0)	28 (+ 0)	3,397 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09	5.06M	3	28	3,397	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.