Name | n3_chennan_CS_yiyuan_yyk_99_com_cn |
---|---|
Data | 11.92M (+ 0B) |
Tables | 6 (+ 0) |
Columns | 37 (+ 0) |
Table Rows | 59,567 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
全国31个城市的11,928家医院及8,164个科室类别的信息数据库。每家医院记录中包含有医院别名,性质,等级,联系电话,联系地址,医疗评价和服务评价。在科室类别表中,每个科室类别中包含有人数记录。整个中国医院信息数据库中共有6个表。
This is a China hospitals database having 11,928 hospitals and 8,164 departments. Each hospital is comprised of hospital alias, nature, grade, telephone number, address, medical evaluation and service evaluation. In table department, it has number of people in each of record. These hospitals are from 31 cities. The whole China hospitals and departments database totally has 6 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_1 | 434 | title |
100%
|
chengshi_id |
100%
|
||
chengshi |
100%
|
||
category_1_x_yiyuan | 12,132 | category_1_id |
100%
|
yiyuan_id |
100%
|
||
chengshi | 31 | title |
100%
|
keshi_liebiao | 8,164 | title |
100%
|
renshu |
100%
|
||
yiyuan | 11,928 | title |
99.99%
|
yiyuan_bieming |
54.69%
|
||
yiyuan_xingzhi |
54.72%
|
||
yiyuan_dengji |
54.72%
|
||
ianxi_dianhua |
52.31%
|
||
lianxi_dizhi |
54.4%
|
||
yiliao_pingjia |
54.72%
|
||
fuwu_pingjia |
54.72%
|
||
jiage_pingjia |
54.72%
|
||
yiyuan_x_keshi_liebiao | 26,878 | yiyuan_id |
100%
|
keshi_liebiao_id |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 11.92M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 11.92M (+ 1.06M) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 10.86M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 10.86M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 10.86M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 59,567 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 | 10.86M | 6 | 37 | 59,567 | 0B | 0 |
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