| Name | n3zm_QuanGuo_GongJiaoXianLu |
|---|---|
| Data | 23.34M (+ 0B) |
| Tables | 8 (+ 0) |
| Columns | 41 (+ 0) |
| Table Rows | 65,791 (+ 0) |
| Media | 0B (+ 0B) |
| Files | 0 (+ 0) |
| Last Commit | 2023-06-19 19:57:45 (+ 169 d) |
这是一个全国公交信息数据库，其中包含有28个省份的15,558个公交。每个公交记录中有站点名称。在公交详情表中，共有12,017个详情记录且每个公交详情记录中有方向，起止，路线，首末车时间和公里站数。共有8个表。
In the buses database, there are 15,558 records with station name in each. All these buses are from 28 provinces in China. In the table buses details, there are 12,017 buses details with orientation, start-stop, route, first and last time and kilometer station number in each. The whole China buses routes data set totally has 8 tables.
| Tables | Rows | Columns | Non-empty |
|---|---|---|---|
| category_2 | 365 | title |
100%
|
| sheng_id |
100%
|
||
| category_3 | 730 | title |
100%
|
| category_2_id |
100%
|
||
| category_2 |
100%
|
||
| category_3_x_gongjiao | 0 | category_3_id |
0%
|
| gongjiao_id |
0%
|
||
| category_4 | 21,535 | title |
100%
|
| category_3_id |
100%
|
||
| category_4_x_gongjiao | 15,558 | category_4_id |
100%
|
| gongjiao_id |
100%
|
||
| gongjiao | 15,558 | title |
100%
|
| zhandianmingcheng |
41.61%
|
||
| gongjiao_detail | 12,017 | fangxiang |
100%
|
| qizhi |
100%
|
||
| luxian |
100%
|
||
| gongjiao_id |
100%
|
||
| shoumoche_shijian |
100%
|
||
| gongli_zhanshu |
100%
|
||
| sheng | 28 | title |
100%
|
No media sets.
| Time | Data | Tables | Columns | Rows | Media | Files |
|---|---|---|---|---|---|---|
| 2023-06-19 (+ 169 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2023-01-01 (+ 95 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2022-09-27 (+ 271 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-12-30 (+ 115 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-09-05 (+ 150 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-04-08 (+ 68 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-01-29 (+ 120 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2020-10-01 (+ 38 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2020-08-23 (+ 141 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2020-04-04 (+ 196 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2019-09-21 (+ 197 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2019-03-07 (+ 43 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2019-01-23 (+ 44 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-12-09 (+ 29 d) | 23.34M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-11-09 (+ 27 d) | 23.34M (+ 1.50M) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-10-13 (+ 30 d) | 21.84M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-09-13 (+ 34 d) | 21.84M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-08-09 (+ 27 d) | 21.84M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-07-12 (+ 31 d) | 21.84M (+ 0B) | 8 (+ 0) | 41 (+ 0) | 65,791 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-06-10 | 21.84M | 8 | 41 | 65,791 | 0B | 0 |
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.
