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6类1,377酒产品数据库:价格,评价,规格,度数 1,377 Alcoholic Beverages Data: Price, Comment, Size, Proof by 6 Types

Name	n3_chennan_CS_jiulei_gjw_com
Data	3.23M (+ 0B)
Tables	4 (+ 0)
Columns	30 (+ 0)
Table Rows	7,145 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

这是一个包含有1,377个酒产品信息列表，其中每个酒产品信息中有价格，评价，关注度，品牌，商品标号，净含量，度数，手提袋，规格等，所有这些产品被分为以下6大类：白酒，葡萄酒，洋酒，黄酒，清酒和啤酒。该酒产品信息数据库中共有4个表。

This alcoholic beverages products database has 1,377 records by 6 categories (liquor and spirits, wine, imported wine, yellow Wine, clear wine and beer). Each liquor product is comprised of price, comment, attention rate, brand, commodity label, net quantity, proof, carrier bag, size, etc. in each. The whole liquor products data set totally has 4 tables.

Data Samples

Main List (for Desktop / for Mobile) / JSON / XML / Excel / CSV (Download CSV) / View by Table

Data APIs

http://n3.datasn.io/data/api/v1/n3_chennan/jiulei_chanpin/ (By Table)

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
jiulei	1,377	guanzhudu	66.74%
		title	100%
		jiage	100%
		pingjia	100%
		pinpai	66.74%
		shangpjn_bianhao	66.74%
		jinghanliang	38.63%
		dushu	46.04%
		shoutidai	66.09%
		xiangxing	54.18%
		xianggui	49.75%
		guige	43.65%
image	4,385	jiulei_id	100%
category_1	6	title	100%
category_1_x_jiulei	1,377	category_1_id	100%
category_1_x_jiulei	1,377	jiulei_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

No media sets.

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	3.23M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	3.23M (- 0.11M)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	3.34M (+ 0B)	4 (+ 0)	30 (+ 0)	7,145 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13	3.34M	4	30	7,145	0B	0

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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.