| Name | n3_chennan_CS_jiudian_jiudian_cncn_com |
|---|---|
| Data | 40.33M (+ 0B) |
| Tables | 5 (+ 0) |
| Columns | 45 (+ 0) |
| Table Rows | 244,918 (+ 0) |
| Media | 0B (+ 0B) |
| Files | 0 (+ 0) |
| Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
这是一个全国酒店信息数据库，共有来自30个省，1,223个城市，11,023个地区的76,586个酒店信息。每个酒店信息包含有区域，地址，经度，纬度，价格，好评等。该全国酒店信息数据库中共有5个表。
From this China hotels database, there are 76,586 records over 11,023 regions from 1,223 cities of 30 provinces in China. Each hotel consists of region, address, longitude, latitude, price, favorable comment, etc. The whole China hotels data set totally has 5 tables.
| Tables | Rows | Columns | Non-empty |
|---|---|---|---|
| jiudian | 76,586 | jiudian_jianjie |
0.01%
|
| jiaotong_weizhi |
0.01%
|
||
| kejieshou_xinyongka |
0.01%
|
||
| fangjian_sheshi |
0.01%
|
||
| kangti_yule |
0.01%
|
||
| jiudian_fuwu |
0.01%
|
||
| canyin_sheshi |
0.01%
|
||
| shangwang_fuwu |
0.01%
|
||
| kaiye_shijian |
0.01%
|
||
| jiudian_dianhua |
0.01%
|
||
| dianping |
74.88%
|
||
| haoping |
74.88%
|
||
| jiage |
100%
|
||
| weidu |
100%
|
||
| jingdu |
100%
|
||
| dizhi |
100%
|
||
| quyu |
95.6%
|
||
| title |
100%
|
||
| category_1 | 30 | title |
100%
|
| category_2 | 1,223 | title |
100%
|
| category_1_id |
100%
|
||
| category_3 | 11,023 | title |
100%
|
| category_2_id |
100%
|
||
| category_2 |
100%
|
||
| category_3_x_jiudian | 156,056 | category_3_id |
100%
|
| jiudian_id |
100%
|
No media sets.
| Time | Data | Tables | Columns | Rows | Media | Files |
|---|---|---|---|---|---|---|
| 2023-06-19 (+ 169 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2023-01-01 (+ 95 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2022-09-27 (+ 271 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-12-30 (+ 115 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-09-05 (+ 150 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-04-08 (+ 68 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-01-29 (+ 120 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2020-10-01 (+ 38 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2020-08-23 (+ 141 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2020-04-04 (+ 196 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2019-09-21 (+ 197 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2019-03-07 (+ 43 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2019-01-23 (+ 44 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-12-09 (+ 29 d) | 40.33M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-11-09 (+ 27 d) | 40.33M (- 2.08M) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-10-13 (+ 29 d) | 42.41M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-09-13 (+ 34 d) | 42.41M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-08-09 (+ 27 d) | 42.41M (+ 0B) | 5 (+ 0) | 45 (+ 0) | 244,918 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-07-12 | 42.41M | 5 | 45 | 244,918 | 0B | 0 |
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