Name | n3_chennan_CS_kuaidi_ickd_cn |
---|---|
Data | 119.50M (+ 0B) |
Tables | 5 (+ 0) |
Columns | 34 (+ 0) |
Table Rows | 197,380 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
这是一个包含有全国34个城市,504个地区的91,113个快递网点信息数据库。每个快递网点信息包含有标题,地址,联系电话,派送区域,不派送区域,网点电话,网点联系人和网点网址。该快递网点信息数据库共有5个表。
From this China Express Service Nodes data, there are 91,113 records over 504 regions of 34 cities in China. Each express node is comprised of title, address, contact phone, delivery area, non-delivery area and phone / contact / website of express service point. The whole China Express Service Nodes database has 5 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
diqu | 504 | chengshi |
100%
|
title |
100%
|
||
chengshi_id |
100%
|
||
kuaidi_wangdian | 91,113 | title |
100%
|
dizhi |
79.18%
|
||
lianxi_dianhua |
93.21%
|
||
paisong_quyu |
99.91%
|
||
bupaisong_quyu |
99.88%
|
||
wangdian_dianhua |
99.13%
|
||
wangdian_lianxiren |
99.99%
|
||
wangdian_wangzhi |
99.89%
|
||
category_1 | 14,616 | title |
100%
|
diqu_id |
100%
|
||
diqu |
100%
|
||
category_1_x_kuaidi_wangdian | 91,113 | category_1_id |
100%
|
kuaidi_wangdian_id |
100%
|
||
chengshi | 34 | title |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 119.50M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 119.50M (+ 84.08M) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 35.42M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 35.42M (+ 0B) | 5 (+ 0) | 34 (+ 0) | 197,380 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 | 35.42M | 5 | 34 | 197,380 | 0B | 0 |
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