Data | 8.58M (+ 0B) |
---|---|
Tables | 10 (+ 0) |
Columns | 38 (+ 0) |
Table Rows | 23,026 (+ 0) |
Media | 10M (+ 0B) |
Files | 111 (+ 0) |
Last Commit | 2019-01-23 10:26:59 (+ 44 d) |
This is a database with 932 clothing products by 1,703 colors, 2,234 sizes and 1,322 styles. Each clothing procuct has title, price and discount price. The whole database consists of 10 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
color | 1,703 | title |
100%
|
product_id |
100%
|
||
description_image_origin | 999 | product_id |
100%
|
item_specific | 10,109 | key |
100%
|
value |
100%
|
||
product_id |
100%
|
||
package | 800 | unit_type |
100%
|
package_weight |
100%
|
||
package_size |
100%
|
||
product_id |
100%
|
||
product | 932 | title |
100%
|
price |
85.41%
|
||
discount_price |
85.09%
|
||
product_image_origin | 4,927 | product_id |
100%
|
size | 2,234 | title |
100%
|
product_id |
100%
|
||
style | 1,322 | title |
100%
|
product_id |
100%
|
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2019-01-23 (+ 44 d) | 8.58M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-12-09 (+ 29 d) | 8.58M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-11-09 (+ 27 d) | 8.58M (+ 608K) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-10-13 (+ 29 d) | 7.98M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-09-13 (+ 34 d) | 7.98M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-08-09 (+ 27 d) | 7.98M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-07-12 (+ 31 d) | 7.98M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-06-10 (+ 31 d) | 7.98M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-05-10 (+ 28 d) | 7.98M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-04-11 (+ 38 d) | 7.98M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-03-03 (+ 35 d) | 7.98M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2018-01-27 (+ 29 d) | 7.98M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2017-12-29 (+ 20 d) | 7.98M (+ 0B) | 10 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 0B) | 111 (+ 0) |
2017-12-08 (+ 9 d) | 7.98M (+ 160K) | 10 (+ 2) | 38 (+ 0) | 23,026 (+ 0) | 10M (+ 10M) | 111 (+ 111) |
2017-11-28 (+ 19 d) | 7.83M (+ 0B) | 8 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-11-09 (+ 10 d) | 7.83M (+ 0B) | 8 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-10-29 (+ 19 d) | 7.83M (+ 0B) | 8 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-10-09 (+ 31 d) | 7.83M (+ 0B) | 8 (+ 0) | 38 (+ 0) | 23,026 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2017-09-08 | 7.83M | 8 | 38 | 23,026 | 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. Make 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 get notified of promotional offers, official content, and data releases.
STAY IN THE LOOP.