Name | n3a2_neitui_me |
---|---|
Data | 4.25M (+ 0B) |
Tables | 4 (+ 0) |
Columns | 32 (+ 0) |
Table Rows | 3,800 (+ 0) |
Media | 7.03K (+ 0B) |
Files | 1 (+ 0) |
Last Commit | 2023-06-19 19:07:11 (+ 169 d) |
这是一个来自中国热门城市的208家企业提供的1,796个就业岗位信息数据库。每个就业岗位包含有标题、发布时间、薪资、工作经验、学历要求、工作地点和职位要求。整个岗位招聘信息数据库中共有4个表。
This is a jobs database with 1,796 records offered by 208 companies from popular cities in China. Each job record is comprised of title, release date, salary, working experience, educational requirement, working place and qualifications. The whole China jobs data set consists of 4 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
company | 208 | title |
100%
|
gong_si_jian_jie |
30.29%
|
||
rong_zi_jie_duan |
99.04%
|
||
guan_wang |
30.29%
|
||
gong_si_kou_hao |
24.04%
|
||
hang_ye |
30.29%
|
||
gong_si_gui_mo |
29.81%
|
||
gong_si_lei_xing |
30.29%
|
||
di_zhi |
30.29%
|
||
latitude |
26.92%
|
||
longitude |
26.92%
|
||
company_x_job | 1,796 | company_id |
100%
|
job_id |
100%
|
||
job | 1,796 | title |
100%
|
fa_bu_shi_jian |
100%
|
||
salary |
100%
|
||
salary_from |
100%
|
||
salary_to |
100%
|
||
salary_unit |
100%
|
||
gong_zuo_jing_yan |
98.44%
|
||
xue_li_yao_qiu |
60.75%
|
||
gong_zuo_di_dian |
94.71%
|
||
zhi_wei_yao_qiu |
95.55%
|
Size (Bytes) | Files |
---|---|
7.03K | 1 |
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2023-01-01 (+ 95 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2022-09-27 (+ 271 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2021-12-30 (+ 115 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2021-09-05 (+ 150 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2021-04-08 (+ 68 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2021-01-29 (+ 120 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2020-10-01 (+ 38 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2020-08-23 (+ 141 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2020-04-04 (+ 196 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2019-09-21 (+ 197 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2019-03-07 (+ 43 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2019-01-23 (+ 44 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2018-12-09 (+ 29 d) | 4.25M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2018-11-09 (+ 27 d) | 4.25M (+ 48K) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2018-10-13 (+ 29 d) | 4.20M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2018-09-13 (+ 34 d) | 4.20M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2018-08-09 (+ 27 d) | 4.20M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2018-07-12 (+ 31 d) | 4.20M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2018-06-10 (+ 31 d) | 4.20M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2018-05-10 (+ 28 d) | 4.20M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2018-04-11 (+ 38 d) | 4.20M (+ 0B) | 4 (+ 0) | 32 (+ 0) | 3,800 (+ 0) | 7.03K (+ 0B) | 1 (+ 0) |
2018-03-03 (+ 35 d) | 4.20M (+ 3.48M) | 4 (- 1) | 32 (+ 9) | 3,800 (+ 0) | 7.03K (+ 7.03K) | 1 (+ 1) |
2018-01-27 | 736K | 5 | 23 | 3,800 | 0B | 0 |
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