Name | n3_chennan_car_cargurus_com_forsale |
---|---|
Data | 0.97M (+ 0B) |
Tables | 3 (+ 0) |
Columns | 15 (+ 0) |
Table Rows | 3,610 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
This is a used cars data set having 1,527 records with price and location in each. All these second-hand cars are categorized into 158 classifications. The whole used cars data totally has 3 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_1 | 158 | title |
100%
|
category_1_x_used_car | 1,925 | category_1_id |
100%
|
used_car_id |
100%
|
||
used_car | 1,527 | title |
100%
|
price |
100%
|
||
location |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 0.97M (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 0.97M (+ 96K) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 (+ 38 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-03-03 (+ 35 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-01-27 (+ 29 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-12-29 (+ 20 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-12-08 (+ 9 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-11-28 (+ 19 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-11-09 (+ 10 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-10-29 (+ 19 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-10-10 (+ 31 d) | 896K (+ 0B) | 3 (+ 0) | 15 (+ 0) | 3,610 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-09-08 | 896K | 3 | 15 | 3,610 | 0B | 0 |
Contact us for pricing to download the latest commit / release of this database.
In the same time, you can also access this data set via API.
Select a membership plan and sign up. Return to this page, click Online Query to access the API query maker. Create and open an API call to acquire the data.
The scanning and profiling of data size increments are done separately from those of the number of rows.
Subscribe to be notified of major data releases and updates.
STAY IN THE LOOP.