Name | n3_chennan_CS_yiyuan_yaofangwang_com |
---|---|
Data | 5.48M (+ 0B) |
Tables | 4 (+ 0) |
Columns | 31 (+ 0) |
Table Rows | 13,876 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
这是一个全国医院信息数据库,共有30个分类下的6,353家医院,每家医院记录中有医院简介,主要设备,医院性质,医院等级,联系电话,联系地址,特色专科,日门诊量,床位数量,医院网址,电子邮件和邮编。整个医院信息数据库共有4个表。
In the hospitals database, it has 6,353 records by 30 categories. Each hospital consists of profile, main equipment, nature, grade, telephone number, address, speciality, daily outpatients, number of beds, website address, email and zip code. The whole hospitals data set totally has 4 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_1 | 30 | title |
100%
|
category_2 | 930 | title |
100%
|
category_1_id |
100%
|
||
category_1 |
100%
|
||
category_2_x_yiyuan | 6,563 | category_2_id |
100%
|
yiyuan_id |
100%
|
||
yiyuan | 6,353 | title |
100%
|
yiyuan_jianjie |
4%
|
||
zhuyao_shebei |
31.36%
|
||
yiyuan_xingzhi |
99.98%
|
||
yiyuan_dengji |
25.2%
|
||
lianxi_dianhua |
99.07%
|
||
lianxi_dizhi |
99.98%
|
||
tese_zhuanke |
22.97%
|
||
rimenzhenliang |
61.58%
|
||
chuangwei_shuliang |
65.2%
|
||
yiyuan_wangzhi |
9.27%
|
||
dianzi_youjian |
3.97%
|
||
youbian |
99.1%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 5.48M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 5.48M (- 0.14M) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 5.62M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 5.62M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 5.62M (+ 0B) | 4 (+ 0) | 31 (+ 0) | 13,876 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 | 5.62M | 4 | 31 | 13,876 | 0B | 0 |
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