Home Data Products & Services Clothing

932 Clothing Products Data: Color, Specific, Size, Style

Name	n3a2_aliexpress_com_store_1192351
Data	8.58M (+ 0B)
Tables	10 (+ 0)
Columns	38 (+ 0)
Table Rows	23,026 (+ 0)
Media	10M (+ 0B)
Files	111 (+ 0)
Last Commit	2020-10-01 12:42:56 (+ 38 d)

This is a clothing products database with 932 records by 1,703 colors, 2,234 sizes and 1,322 styles. Each clothing procuct has title, price and discount price. The whole clothing products data set consists of 10 tables.

Data Samples

Main (Desktop) / JSON / XML / Excel / CSV (Download)

Database APIs

http://n3.datasn.io/data/api/v1/n3a2/women_wear/ (By Table)

Media Files

description_image ^{Bytes: 9.99M / Files: 60}
product_image ^{Bytes: 12.83K / Files: 51}

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
color	1,703	title	100%
color	1,703	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%
size	2,234	product_id	100%
style	1,322	title	100%
style	1,322	product_id	100%

Notes:

Meta columns id and ts are not shown here, but included in columns total.
Some statistical or memo columns are not shown here, but included in columns total.
Non-empty percentage indicates the percent of values that are non-empty for that particular column.

Media Sets

description_image

Size (Bytes)	Files
9.99M	60

product_image

Size (Bytes)	Files
12.83K	51

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2020-10-01 (+ 38 d)	8.58M (+ 0B)	10 (+ 0)	38 (+ 0)	23,026 (+ 0)	10M (+ 0B)	111 (+ 0)
2020-08-23 (+ 141 d)	8.58M (+ 0B)	10 (+ 0)	38 (+ 0)	23,026 (+ 0)	10M (+ 0B)	111 (+ 0)
2020-04-04 (+ 196 d)	8.58M (+ 0B)	10 (+ 0)	38 (+ 0)	23,026 (+ 0)	10M (+ 0B)	111 (+ 0)
2019-09-21 (+ 197 d)	8.58M (+ 0B)	10 (+ 0)	38 (+ 0)	23,026 (+ 0)	10M (+ 0B)	111 (+ 0)
2019-03-07 (+ 43 d)	8.58M (+ 0B)	10 (+ 0)	38 (+ 0)	23,026 (+ 0)	10M (+ 0B)	111 (+ 0)
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)
2017-10-10 (+ 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

Download Latest Commit

In the same time, you can also access this data set via API.

Access Now!

How to use

View the page for data details.
Sign up for an account and log in.
Open Online Query to build API addresses / calls.
Open the API address / call to access the data.

FAQ

How to access the data?

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.
Why are data size increments not in line with those of number of rows?

The scanning and profiling of data size increments are done separately from those of the number of rows.