Name | n3zm_Car_Rental_Locations_budget_com |
---|---|
Data | 2.67M (+ 0B) |
Tables | 4 (+ 0) |
Columns | 26 (+ 0) |
Table Rows | 13,557 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 19:57:45 (+ 169 d) |
This is a world wide car rental locations database with 1,992 records from 129 countries. Each record contains title, address, phone, distance, hours of operation, latitude and longitude. This world car rental locations database is the one you need to get the fast service of budget rental car for travel or other important events.
The whole worldwide auto rental locations data set consists of 4 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
car_rental_location | 1,992 | title |
100%
|
address |
97.99%
|
||
phone |
99.8%
|
||
distance |
100%
|
||
hours_of_operation |
76.31%
|
||
latitude |
99.05%
|
||
longitude |
99.05%
|
||
category_1 | 129 | title |
100%
|
category_2 | 2,093 | title |
100%
|
category_1_id |
100%
|
||
category_1 |
100%
|
||
category_2_x_car_rental_location | 9,343 | category_2_id |
100%
|
car_rental_location_id |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 2.67M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 2.67M (+ 176K) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 30 d) | 2.50M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 2.50M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 2.50M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 2.50M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 2.50M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 2.50M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 (+ 38 d) | 2.50M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-03-03 (+ 35 d) | 2.50M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-01-27 (+ 29 d) | 2.50M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-12-29 (+ 20 d) | 2.50M (+ 0B) | 4 (+ 0) | 26 (+ 0) | 13,557 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-12-08 (+ 9 d) | 2.50M (+ 1.66M) | 4 (+ 0) | 26 (+ 3) | 13,557 (+ 10,436) | 0B (+ 0B) | 0 (+ 0) |
2017-11-28 | 864K | 4 | 23 | 3,121 | 0B | 0 |
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