Name | n3_chennan_apartment_propertyguru_com_my |
---|---|
Data | 307.97M (+ 0B) |
Tables | 7 (+ 0) |
Columns | 29 (+ 0) |
Table Rows | 1,598,620 (+ 0) |
Media | 22.98M (+ 0B) |
Files | 300 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
In the Malaysia apartments database, there are 99,122 apartments in Malaysia with 12,215 details and 104 amenities. Each apartment has title, price, size, type, street address and description. It also comes with 315,862 images in the 26.12G media set of this apartments data. The whole Malaysia apartments data set consists of 7 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
amenity | 104 | value |
100%
|
apartment | 99,122 | title |
100%
|
price |
99.98%
|
||
size |
100%
|
||
type |
100%
|
||
street_address |
56.33%
|
||
description |
56.11%
|
||
apartment_x_amenity | 705,303 | apartment_id |
100%
|
amenity_id |
100%
|
||
apartment_x_detail | 466,014 | apartment_id |
100%
|
detail_id |
100%
|
||
detail | 12,215 | value |
100%
|
key |
14.56%
|
||
image | 315,862 | apartment_id |
100%
|
Size (Bytes) | Files |
---|---|
22.98M | 300 |
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 307.97M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (+ 0B) | 300 (+ 0) |
2023-01-01 (+ 95 d) | 307.97M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (+ 0B) | 300 (+ 0) |
2022-09-27 (+ 271 d) | 307.97M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (+ 0B) | 300 (+ 0) |
2021-12-30 (+ 115 d) | 307.97M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (+ 0B) | 300 (+ 0) |
2021-09-05 (+ 150 d) | 307.97M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (+ 0B) | 300 (+ 0) |
2021-04-08 (+ 68 d) | 307.97M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (+ 0B) | 300 (+ 0) |
2021-01-29 (+ 120 d) | 307.97M (- 0.16G) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (+ 0B) | 300 (+ 0) |
2020-10-01 (+ 38 d) | 475.42M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (+ 0B) | 300 (+ 0) |
2020-08-23 (+ 141 d) | 475.42M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (+ 0B) | 300 (+ 0) |
2020-04-04 (+ 196 d) | 475.42M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (+ 0B) | 300 (+ 0) |
2019-09-21 (+ 197 d) | 475.42M (- 5.08M) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 22.98M (- 26.10G) | 300 (- 315,495) |
2019-03-07 (+ 43 d) | 480.50M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 0B) | 315,795 (+ 0) |
2019-01-23 (+ 44 d) | 480.50M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 0B) | 315,795 (+ 0) |
2018-12-09 (+ 29 d) | 480.50M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 0B) | 315,795 (+ 0) |
2018-11-09 (+ 27 d) | 480.50M (+ 373.66M) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 0B) | 315,795 (+ 0) |
2018-10-13 (+ 29 d) | 106.84M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 0B) | 315,795 (+ 0) |
2018-09-13 (+ 34 d) | 106.84M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 0B) | 315,795 (+ 0) |
2018-08-09 (+ 27 d) | 106.84M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 0B) | 315,795 (+ 0) |
2018-07-12 (+ 31 d) | 106.84M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 0B) | 315,795 (+ 0) |
2018-06-10 (+ 31 d) | 106.84M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 0B) | 315,795 (+ 0) |
2018-05-10 (+ 28 d) | 106.84M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 0B) | 315,795 (+ 0) |
2018-04-11 (+ 38 d) | 106.84M (+ 0B) | 7 (+ 0) | 29 (+ 0) | 1,598,620 (+ 0) | 26.12G (+ 11.72G) | 315,795 (+ 141,684) |
2018-03-03 (+ 35 d) | 106.84M (+ 7.98M) | 7 (+ 1) | 29 (+ 0) | 1,598,620 (+ 476,739) | 14.40G (+ 14.40G) | 174,111 (+ 174,111) |
2018-01-27 | 98.86M | 6 | 29 | 1,121,881 | 0B | 0 |
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