Name | n3_chennan_CS_used_car_cn2che_com |
---|---|
Data | 263.22M (+ 0B) |
Tables | 9 (+ 0) |
Columns | 51 (+ 0) |
Table Rows | 1,488,321 (+ 0) |
Media | 15.11M (+ 0B) |
Files | 300 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
该二手车信息数据库有47,015辆二手车出售。这些出售车辆来自全国31个省份,如北京、上海、天津、广东、重庆、湖南、河北、陕西等。每个出售车辆信息包含有标题、更新日期、车主说明、地址、价格、车辆编号、车辆类型、车辆品牌、车辆系列、上牌时间、行驶里程、交易地区、联系地址、联系人、联系电话和微信。除此之外,这个二手车出售数据库还包含有269,558张车辆图片。整个数据库共有9个表。
This is a collection of used cars with 47,015 records over 31 provinces in China. Each record consists of title, update date, car owner description, address, price, vehicle number, vehicle type, brand, series, registered time, mileage, trading area, contact address, phone number and Weixin. It also has 269,558 images in the media package set of this database. The whole used cars sales data set has 9 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
detail | 2,671 | key |
100%
|
value |
99.85%
|
||
ershouche | 47,015 | title |
100%
|
update_time |
100%
|
||
chezhushuoming |
100%
|
||
address |
100%
|
||
price |
99.91%
|
||
cheliangbianhao |
99.91%
|
||
cheliangleixing |
99.91%
|
||
cheliangpinpai |
95.41%
|
||
cheliangxilie |
99.91%
|
||
shangpaishijian |
99.91%
|
||
xingshilicheng |
99.91%
|
||
jiaoyidiqu |
99.91%
|
||
lianxidizhi |
96.16%
|
||
lianxiren |
94.95%
|
||
lianxidianhua |
99.9%
|
||
weixin |
30.52%
|
||
ershouche_x_detail | 1,122,000 | ershouche_id |
100%
|
detail_id |
100%
|
||
image | 269,558 | ershouche_id |
100%
|
alt |
100%
|
||
link | 31 | shengfen_id |
100%
|
shengfen |
100%
|
||
link_x_ershouche | 47,015 | link_id |
100%
|
ershouche_id |
100%
|
||
shengfen | 31 | shengfen |
100%
|
Size (Bytes) | Files |
---|---|
15.11M | 300 |
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 263.22M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (+ 0B) | 300 (+ 0) |
2023-01-01 (+ 95 d) | 263.22M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (+ 0B) | 300 (+ 0) |
2022-09-27 (+ 271 d) | 263.22M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (+ 0B) | 300 (+ 0) |
2021-12-30 (+ 115 d) | 263.22M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (+ 0B) | 300 (+ 0) |
2021-09-05 (+ 150 d) | 263.22M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (+ 0B) | 300 (+ 0) |
2021-04-08 (+ 68 d) | 263.22M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (+ 0B) | 300 (+ 0) |
2021-01-29 (+ 120 d) | 263.22M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (+ 0B) | 300 (+ 0) |
2020-10-01 (+ 38 d) | 263.22M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (+ 0B) | 300 (+ 0) |
2020-08-23 (+ 141 d) | 263.22M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (+ 0B) | 300 (+ 0) |
2020-04-04 (+ 196 d) | 263.22M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (+ 0B) | 300 (+ 0) |
2019-09-21 (+ 197 d) | 263.22M (- 2.39M) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 15.11M (- 0.18G) | 300 (- 3,798) |
2019-03-07 (+ 43 d) | 265.61M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 196.54M (+ 0B) | 4,098 (+ 0) |
2019-01-23 (+ 44 d) | 265.61M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 196.54M (+ 0B) | 4,098 (+ 0) |
2018-12-09 (+ 29 d) | 265.61M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 196.54M (+ 0B) | 4,098 (+ 0) |
2018-11-09 (+ 27 d) | 265.61M (+ 136.42M) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 196.54M (+ 0B) | 4,098 (+ 0) |
2018-10-13 (+ 29 d) | 129.19M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 196.54M (+ 0B) | 4,098 (+ 0) |
2018-09-13 (+ 34 d) | 129.19M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 196.54M (+ 0B) | 4,098 (+ 0) |
2018-08-09 (+ 27 d) | 129.19M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 196.54M (+ 0B) | 4,098 (+ 0) |
2018-07-12 (+ 31 d) | 129.19M (+ 0B) | 9 (+ 0) | 51 (+ 0) | 1,488,321 (+ 0) | 196.54M (+ 0B) | 4,098 (+ 0) |
2018-06-10 (+ 31 d) | 129.19M (+ 1.41M) | 9 (+ 1) | 51 (+ 2) | 1,488,321 (+ 0) | 196.54M (+ 85.02M) | 4,098 (+ 1,671) |
2018-05-10 | 127.78M | 8 | 49 | 1,488,321 | 111.53M | 2,427 |
Contact us for pricing to download the latest commit / release of this database.
In the same time, you can also access this data set via API.
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.
The scanning and profiling of data size increments are done separately from those of the number of rows.
Subscribe to be notified of major data releases and updates.
STAY IN THE LOOP.