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

Data	8.58M (+ 0B)
Tables	10 (+ 0)
Columns	38 (+ 0)
Table Rows	23,026 (+ 0)
Media	10M (+ 0B)
Files	111 (+ 0)
Last Commit	2018-12-09 11:11:53 (+ 29 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.

Data Samples

Main (Desktop) / JSON / 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

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
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

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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. Make 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.