Name | n3zm_Parts_partstrain_com |
---|---|
Data | 81.77M (+ 0B) |
Tables | 6 (+ 0) |
Columns | 37 (+ 0) |
Table Rows | 371,618 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 19:57:45 (+ 169 d) |
This is an auto parts database having 69,263 records of 20 brands. Each part is comprised of brand, price, location, series, design, product fit, quantity sold, recommended use, anticipated ship out time, disc finish, hat finish and warranty. There are 104 price records of these auto parts. The whole auto parts database totally has 6 tables. See also this auto parts dataset: https://datasn.io/p/245.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
brand | 20 | title |
100%
|
parts | 69,263 | title |
100%
|
brand |
100%
|
||
price |
99.99%
|
||
location |
78.18%
|
||
series |
24.09%
|
||
design |
0.9%
|
||
product_fit |
47.77%
|
||
quantity_sold |
48.65%
|
||
recommended_use |
30.93%
|
||
anticipated_ship_out_time |
49.01%
|
||
disc_finish |
0.01%
|
||
hat_finish |
0.01%
|
||
warranty |
48.85%
|
||
parts_image | 0 | parts_id |
0%
|
price | 104 | title |
100%
|
brand_id |
100%
|
||
brand |
100%
|
||
price_x_parts | 302,231 | price_id |
100%
|
parts_id |
100%
|
Size (Bytes) | Files |
---|---|
0P | 0 |
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 81.77M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 81.77M (+ 1.02M) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 30 d) | 80.75M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 80.75M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 80.75M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 (+ 31 d) | 80.75M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-06-10 (+ 31 d) | 80.75M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-05-10 (+ 28 d) | 80.75M (+ 0B) | 6 (+ 0) | 37 (+ 0) | 371,618 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-04-11 | 80.75M | 6 | 37 | 371,618 | 0B | 0 |
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