Name | n3_lyz_7zap.com_en_cars_ford |
---|---|
Data | 57.16M (+ 0B) |
Tables | 13 (+ 0) |
Columns | 54 (+ 0) |
Table Rows | 191,918 (+ 0) |
Media | 0.96G (+ 0B) |
Files | 7,667 (+ 0) |
Last Commit | 2023-06-19 18:12:05 (+ 169 d) |
In this parts of Ford database, there are 58,364 records with sequence, part code, quantity and modification in each. There are 5 tables mostly related with these parts, they are models with 80 records; 34 brands; assembles with 8,406 records; 662 systems and types with 2 records. The parts of Ford data also comes with 7,667 assemble images in the 0.96G media set. The whole parts of Ford data set totally has 13 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
model_x_system | 1,116 | system_id |
100%
|
model_id |
100%
|
||
model_x_system_x_sub_system_x_assemble | 11,185 | assemble_id |
100%
|
model_x_system_x_sub_system_id |
100%
|
||
model_x_system_x_sub_system | 5,162 | sub_system_id |
100%
|
model_x_system_id |
100%
|
||
model_x_system_x_sub_system_x_assemble_x_part | 94,831 | part_id |
100%
|
model_x_system_x_sub_system_x_assemble_id |
100%
|
||
model | 80 | model |
100%
|
type_id |
100%
|
||
brand | 34 | brand |
100%
|
assemble_image_slug | 7,667 | assemble_id |
100%
|
sub_system | 4,409 | sub_system |
100%
|
type | 2 | brand_id |
100%
|
type |
100%
|
||
system | 662 | system |
100%
|
part | 58,364 | modification |
92.09%
|
quantity |
50.39%
|
||
part_code |
99.96%
|
||
sequence |
100%
|
||
part |
100%
|
||
assemble | 8,406 | assemble |
100%
|
Size (Bytes) | Files |
---|---|
0.96G | 7,667 |
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 57.16M (+ 0B) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2023-01-01 (+ 95 d) | 57.16M (+ 0B) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2022-09-27 (+ 271 d) | 57.16M (+ 0B) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2021-12-30 (+ 115 d) | 57.16M (+ 0B) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2021-09-05 (+ 150 d) | 57.16M (+ 0B) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2021-04-08 (+ 68 d) | 57.16M (+ 0B) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2021-01-29 (+ 120 d) | 57.16M (+ 10.33M) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2020-10-01 (+ 38 d) | 46.83M (+ 0B) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2020-08-23 (+ 141 d) | 46.83M (+ 0B) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2020-04-04 (+ 196 d) | 46.83M (+ 0B) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2019-09-21 (+ 197 d) | 46.83M (+ 0B) | 13 (+ 0) | 54 (+ 0) | 191,918 (+ 0) | 0.96G (+ 0B) | 7,667 (+ 0) |
2019-03-07 | 46.83M | 13 | 54 | 191,918 | 0.96G | 7,667 |
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.