Name | n3_chennan_senior_housing_after55_com |
---|---|
Data | 32.11M (+ 0B) |
Tables | 12 (+ 0) |
Columns | 57 (+ 0) |
Table Rows | 136,890 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
This senior housing database contians 3,496 records with title, latitude, longitude, address locality, address region, postal code, housing provided, telephone, description and notice in each. All these senior homes comes from 152 cities of 48 states in America. There are other 4 important tables related with these senior homes, they are community feature with 69 records; interior feature with 37 records; 13,924 property highligh records and wellness feature with 3,496 records. The whole senior homes data totally has 12 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
city | 152 | title |
100%
|
state_id |
100%
|
||
state |
100%
|
||
city_x_senior_housing | 4,338 | city_id |
100%
|
senior_housing_id |
100%
|
||
community_feature | 69 | value |
100%
|
interior_feature | 37 | value |
100%
|
property_highligh | 13,924 | value |
100%
|
senior_housing | 3,496 | title |
100%
|
latitude |
100%
|
||
longitude |
100%
|
||
address_locality |
100%
|
||
address_region |
100%
|
||
postal_code |
100%
|
||
telephone |
31.98%
|
||
housing_provided |
100%
|
||
description |
99.86%
|
||
notice |
99.86%
|
||
senior_housing_x_community_feature | 46,278 | senior_housing_id |
100%
|
community_feature_id |
100%
|
||
senior_housing_x_interior_feature | 30,354 | senior_housing_id |
100%
|
interior_feature_id |
100%
|
||
senior_housing_x_property_highligh | 30,879 | senior_housing_id |
100%
|
property_highligh_id |
100%
|
||
senior_housing_x_wellness_feature | 7,287 | senior_housing_id |
100%
|
wellness_feature_id |
100%
|
||
state | 48 | title |
100%
|
wellness_feature | 28 | value |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 32.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 32.11M (- 3M) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 35.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 35.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 35.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 35.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 35.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 35.11M (+ 0B) | 12 (+ 0) | 57 (+ 0) | 136,890 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 | 35.11M | 12 | 57 | 136,890 | 0B | 0 |
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