Name | n3_chennan_CS_yiyuan_fuyaotang_com |
---|---|
Data | 15.66M (+ 0B) |
Tables | 3 (+ 0) |
Columns | 21 (+ 0) |
Table Rows | 65,651 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
这是一个全国23个省份的32,814家医院的信息数据库。每家医院包含地址,电话,医院性质,等级,日门诊量,床位数量和特色专科。整个医院信息数据库共有3个表。
This China hospitals database is filled with 32,814 records from 23 provinces in China. Each hospital is comprised of address, telephone number, hospital's nature, grade, daily outpatients, number of beds and specialty. The whole hospitals data set totally has 3 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
yiyuan | 32,814 | tese_zhuanke |
27.23%
|
chuangwei_shuliang |
99.96%
|
||
ri_menzhenliang |
99.96%
|
||
yiyuan_dengji |
32.66%
|
||
yiyuan_xingzhi |
99.75%
|
||
dianhua |
100%
|
||
dizhi |
100%
|
||
title |
100%
|
||
category_1 | 23 | title |
100%
|
category_1_x_yiyuan | 32,814 | yiyuan_id |
100%
|
category_1_id |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 15.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 15.66M (+ 2M) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 13.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 13.66M (+ 0B) | 3 (+ 0) | 21 (+ 0) | 65,651 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 | 13.66M | 3 | 21 | 65,651 | 0B | 0 |
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