Name | n3_chennan_CS_yisheng_ysk_qqyy_com |
---|---|
Data | 7.97M (+ 0B) |
Tables | 1 (+ 0) |
Columns | 13 (+ 0) |
Table Rows | 10,000 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
该单表结构的医生信息数据库共有10,000位医生,每位医生包含有简介,性别,职称,所属科室,所属医院,职务,擅长和所获荣誉。
This doctors database is filled with 10,000 records with profile, gender, title, affiliated departments, affiliated hospital, duty, be good at and honors in each. The whole doctors data set has only 1 table.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
yisheng | 10,000 | title |
100%
|
jianjie |
75.15%
|
||
xingbie |
98.21%
|
||
zhicheng |
88.75%
|
||
suishu_keshi |
46.35%
|
||
suoshu_yiyuan |
94.67%
|
||
zhiwu |
21.1%
|
||
shangchang |
77.24%
|
||
suohuo_rongyu |
2.72%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 7.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 7.97M (+ 6M) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 1.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 1.97M (+ 0B) | 1 (+ 0) | 13 (+ 0) | 10,000 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 | 1.97M | 1 | 13 | 10,000 | 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.