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121品牌3,097二手车数据库: 价格,电话,地址,基本配置,图片 China 3,097 Used Cars Data: Price, Address, Basic Configuration, Image, Tel. of 121 Brands

Name	n3_chennan_CS_used_car_hx2car_com
Data	8.33M (+ 0B)
Tables	7 (+ 0)
Columns	34 (+ 0)
Table Rows	15,427 (+ 0)
Media	418.61M (+ 0B)
Files	3,907 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

这是一个中国二手车出售信息数据库，共有121个品牌下的3,097辆二手车。每辆二手车包含有更新时间，价格，车辆地址，汽车里程，描述，电话和新车价格。该数据中包含有557个汽车基本配置信息。在表图片中有3,907张汽车图片且存储在418.61M的媒体文件包中。该二手车信息数据库共有7个表。

Database of used cars is filled with 3,097 records from 121 brands in Chinese market. Each record consists of update time, price, car address, car miles, description, telephone number and new car price. There are 557 basic configuration records for these cars. It also comes with7 images in the 418.61M media set of this data. The whole Chinese second-hand cars database totally has 7 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/used_car_for_sale_in_chian_2/ (By Table)

Media Files

used_car_image ^{Bytes: 418.61M / Files: 3,907}

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
brand	121	title	100%
brand_x_used_car	4,433	brand_id	100%
brand_x_used_car	4,433	used_car_id	100%
image	3,907	used_car_id	100%
image	3,907	alt	100%
jibenpeizhi	557	key	100%
jibenpeizhi	557	value	100%
used_car	3,097	title	100%
		update_time	100%
		price	100%
		car_address	100%
		car_miles	100%
		description	10.53%
		phone	7.81%
		new_car_price	11.79%
used_car_x_jibenpeizhi	3,312	used_car_id	100%
used_car_x_jibenpeizhi	3,312	jibenpeizhi_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

used_car_image

Size (Bytes)	Files
418.61M	3,907

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2023-01-01 (+ 95 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2022-09-27 (+ 271 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2021-12-30 (+ 115 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2021-09-05 (+ 150 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2021-04-08 (+ 68 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2021-01-29 (+ 120 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2020-10-01 (+ 38 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2020-08-23 (+ 141 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2020-04-04 (+ 196 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2019-09-21 (+ 197 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2019-03-07 (+ 43 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2019-01-23 (+ 44 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2018-12-09 (+ 29 d)	8.33M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2018-11-09 (+ 27 d)	8.33M (- 1.98M)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2018-10-13 (+ 29 d)	10.31M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2018-09-13 (+ 34 d)	10.31M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2018-08-09 (+ 27 d)	10.31M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2018-07-12 (+ 31 d)	10.31M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2018-06-10 (+ 31 d)	10.31M (+ 0B)	7 (+ 0)	34 (+ 0)	15,427 (+ 0)	418.61M (+ 0B)	3,907 (+ 0)
2018-05-10	10.31M	7	34	15,427	418.61M	3,907

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