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1,342专卖店5,591台电动车数据库:品牌,报价,款式,电池,图片 5,591 Electric Vehicles / Scooters Data: Brand, Offer, Battery, Image of 1,342 Exclusive Shops

Name	n3_chennan_CS_diandongche_qqddc_com
Data	14.94M (+ 0B)
Tables	6 (+ 0)
Columns	30 (+ 0)
Table Rows	79,276 (+ 0)
Media	693.16M (+ 0B)
Files	5,091 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

这是一个来自1,342家专卖店，394个品牌下的5,591台电动车数据库，每个电动车信息都包含有品牌，报价，款式，电池，续航里程等信息。电动车数据库中有每个专卖店的电话和地址，方便查询。该电动车数据库中共有6个表。

This is a electric vehicles / scooters database with 5,591 records of 394 brands in 1,342 exclusive stores. Each electric vehicle or scooter is comprised of brand, offer, style, battery, mileage, etc. The whole electric vehicles or scooters data set has 6 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/diandongche_daquan/ (By Table)

Media Files

diandongche_image ^{Bytes: 693.16M / Files: 5,091}

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
diandongche_x_zhuanmaidian	66,358	diandongche_id	100%
diandongche_x_zhuanmaidian	66,358	zhuanmaidian_id	100%
diandongche	5,591	xuhang_licheng	77.79%
		biaopian	10.37%
		dianchi	82.78%
		kuanshi	92.88%
		baojia	100%
		pinpai	100%
		title	100%
pinpai_x_diandongche	5,591	diandongche_id	100%
pinpai_x_diandongche	5,591	pinpai_id	100%
zhuanmaidian	1,342	dizhi	100%
		dianhua	19.52%
		title	99.93%
pinpai	394	title	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

diandongche_image

Size (Bytes)	Files
693.16M	5,091

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2023-01-01 (+ 95 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2022-09-27 (+ 271 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2021-12-30 (+ 115 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2021-09-05 (+ 150 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2021-04-08 (+ 68 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2021-01-29 (+ 120 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2020-10-01 (+ 38 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2020-08-23 (+ 141 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2020-04-04 (+ 196 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2019-09-21 (+ 197 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2019-03-07 (+ 43 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2019-01-23 (+ 44 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2018-12-09 (+ 29 d)	14.94M (+ 0B)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2018-11-09 (+ 27 d)	14.94M (- 2.42M)	6 (+ 0)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 0B)	5,091 (+ 0)
2018-10-13 (+ 29 d)	17.36M (+ 4.25M)	6 (+ 1)	30 (+ 0)	79,276 (+ 0)	693.16M (+ 693.16M)	5,091 (+ 5,091)
2018-09-13	13.11M	5	30	79,276	0B	0

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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.