Name | n3_chennan_hospital_intermountainhealthcare_org |
---|---|
Data | 2.11M (+ 0B) |
Tables | 5 (+ 0) |
Columns | 30 (+ 0) |
Table Rows | 11,530 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
This is a hospitals data set with 1,203 records from 53 cities in the United States. Each hospital record is comprised of title, street address, address locality, address region, postal code, phone number, fax, latitude and longitude. It also contains 574 hours in the United States hospitals API.
The whole America hospitals database has 5 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
city | 53 | title |
100%
|
city_x_hospital | 1,279 | city_id |
100%
|
hospital_id |
100%
|
||
hospital | 1,203 | title |
100%
|
street_address |
100%
|
||
address_locality |
100%
|
||
address_region |
100%
|
||
postal_code |
100%
|
||
phone |
99.75%
|
||
fax |
77.31%
|
||
latitude |
100%
|
||
longitude |
100%
|
||
hospital_x_hour | 8,421 | hospital_id |
100%
|
hour_id |
100%
|
||
hour | 574 | key |
100%
|
value |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 2.11M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 2.11M (+ 304K) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 1.81M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 1.81M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 1.81M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 1.81M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 1.81M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 1.81M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 (+ 38 d) | 1.81M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-03-03 (+ 35 d) | 1.81M (+ 0B) | 5 (+ 0) | 30 (+ 0) | 11,530 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-01-27 | 1.81M | 5 | 30 | 11,530 | 0B | 0 |
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