Name | n3_chennan_CS_shangpu_shangpusou_com |
---|---|
Data | 447.53M (+ 0B) |
Tables | 5 (+ 0) |
Columns | 34 (+ 0) |
Table Rows | 1,268,232 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
全国27个省,151个城市的507,011家转让商铺信息数据库,每家转让商铺信息记录中有转让费,面积,更新时间,标签,商铺简介,租金,类型,状态,区域,位置,QQ和电话。除此之外,数据库中还有254,032张商铺图片。整个转让商铺信息数据库中共有5个表。
This transfer stores database is filled with 507,011 records from 151 cities of 27 provinces in China. Each transfer shop is comprised of transfer fee, acreage, update time, tag, shop profile, rent, type, state, region, location, QQ number and telephone number. It also comes with 254,032 stores images in the data. The whole China transfer shops database totally has 5 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
shangpu | 507,011 | gengxin_shijian |
100%
|
title |
100%
|
||
zhuanrangfei |
56.74%
|
||
mianji |
100%
|
||
biaoqian |
100%
|
||
shangpu_jianjie |
48.92%
|
||
zujin |
49.31%
|
||
leixing |
48.96%
|
||
zhuangtai |
49.31%
|
||
quyu |
49.31%
|
||
weizhi |
49.31%
|
||
0.49%
|
|||
dianhua |
49.3%
|
||
image | 254,032 | shangpu_id |
100%
|
chengshi_x_shangpu | 507,011 | shangpu_id |
100%
|
chengshi_id |
100%
|
||
category_1 | 27 | title |
100%
|
chengshi | 151 | title |
100%
|
category_1_id |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 447.53M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 447.53M (+ 241.80M) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 205.73M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 205.73M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 1,268,232 (+ 163,962) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 205.73M (+ 107.81M) | 5 (+ 1) | 34 (+ 12) | 1,104,270 (+ 665,512) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 | 97.92M | 4 | 22 | 438,758 | 0B | 0 |
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