Name | n3_chennan_CS_huangye_qiye_atobo_com_cn_1 |
---|---|
Data | 16.81M (+ 0B) |
Tables | 4 (+ 0) |
Columns | 23 (+ 0) |
Table Rows | 57,632 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
企业信息数据库中包含有31个行业下的27,449家企业信息记录,每家公司信息中有主营,地址和简介信息。所有这些企业信息数据库中共有4个表。
From this enterprises database, it has 27,449 enterprises by 31 industries, such as business services, auto parts & accessories, computer & software, convenience life, building materials & real estate, electronic electrician, chemical industry, medicine/health care/instruments, metallurgical minerals, clothing & accessories, etc. Each enterprise is comprised of major business, address and company profile. The whole enterprises data set has 4 tables in total.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_2_x_qiye | 29,436 | qiye_id |
100%
|
category_2_id |
100%
|
||
qiye | 27,449 | title |
100%
|
zhuying |
76.85%
|
||
dizhi |
100%
|
||
gongsi_jianjie |
0%
|
||
category_1 | 31 | title |
100%
|
category_2 | 716 | title |
100%
|
category_1_id |
100%
|
||
category_1 |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 16.81M (+ 0B) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 16.81M (- 3.02M) | 4 (+ 0) | 23 (+ 0) | 57,632 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 | 19.83M | 4 | 23 | 57,632 | 0B | 0 |
Contact us for pricing to download the latest commit / release of this database.
In the same time, you can also access this data set via API.
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.
The scanning and profiling of data size increments are done separately from those of the number of rows.
Subscribe to be notified of major data releases and updates.
STAY IN THE LOOP.