| Name | n3_lyz_clothr.com |
|---|---|
| Data | 1.44M (+ 0B) |
| Tables | 11 (+ 0) |
| Columns | 73 (+ 0) |
| Table Rows | 3,061 (+ 0) |
| Media | 0B (+ 0B) |
| Files | 0 (+ 0) |
| Last Commit | 2023-06-19 18:12:05 (+ 169 d) |
该服装行业招聘信息数据库中共有11表和414多个岗位信息。所有的岗位信息是由服装行业43家企业提供的，这些企业都是来自中国21个地区的热门城市。其岗位表中有职位，岗位职责描述，招聘数量，文化程度，岗位类型，工作经验，薪资，工作时间，外语，专业等内容。该数据库中所有的岗位被分为服装设计类、服装生产 / 管理类、服装销售 / 市场类和行政管理类。
With 414 jobs data offered by 43 companies in garment industry from 21 regions of China, this clothing industry jobs database is well-structured and fields-rich. There are position, description, quantity, education, type, experience, salary, major, foreign language, etc. fields in each job record. All jobs are categorized into costume design; garment production / management; clothing sales / marketing and public administration. The whole China garment industry jobs data set has 11 tables.
| Tables | Rows | Columns | Non-empty |
|---|---|---|---|
| category_position_1 | 4 | position |
100%
|
| category_position_2 | 127 | position |
100%
|
| category_position_1_id |
100%
|
||
| category_position_2_x_job | 1,372 | category_position_2_id |
100%
|
| job_id |
100%
|
||
| company | 43 | company |
100%
|
| size |
100%
|
||
| type |
100%
|
||
| description |
97.67%
|
||
| company_connection | 40 | contacter |
70%
|
| address |
100%
|
||
| zip_code |
75%
|
||
| company_id |
100%
|
||
| website |
45%
|
||
| telepone |
7.5%
|
||
|
2.5%
|
|||
| company_register | 37 | code |
100%
|
| status |
100%
|
||
| registre_property |
100%
|
||
| term |
100%
|
||
| company_id |
100%
|
||
| job | 414 | position |
100%
|
| education |
100%
|
||
| quantity |
100%
|
||
| description |
99.76%
|
||
| salary_from |
66.91%
|
||
| salary_to |
66.91%
|
||
| salary_unit |
66.91%
|
||
| salary_other |
31.64%
|
||
| type |
99.76%
|
||
| experience |
99.76%
|
||
| major |
99.76%
|
||
| foreign_language |
99.76%
|
||
| title |
99.76%
|
||
| time |
99.76%
|
||
| job_connection | 173 | contacter |
65.32%
|
| address |
94.22%
|
||
| zip_code |
94.22%
|
||
| job_id |
100%
|
||
| job_x_company | 414 | job_id |
100%
|
| company_id |
100%
|
||
| job_x_region | 416 | job_id |
100%
|
| region_id |
100%
|
||
| region | 21 | region |
100%
|
No media sets.
| Time | Data | Tables | Columns | Rows | Media | Files |
|---|---|---|---|---|---|---|
| 2023-06-19 (+ 169 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2023-01-01 (+ 95 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2022-09-27 (+ 271 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-12-30 (+ 115 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-09-05 (+ 150 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-04-08 (+ 68 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2021-01-29 (+ 120 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2020-10-01 (+ 38 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2020-08-23 (+ 141 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2020-04-04 (+ 196 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2019-09-21 (+ 197 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2019-03-07 (+ 43 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2019-01-23 (+ 44 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-12-09 (+ 29 d) | 1.44M (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-11-09 (+ 27 d) | 1.44M (+ 592K) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-10-13 (+ 29 d) | 880K (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-09-13 (+ 34 d) | 880K (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-08-09 (+ 27 d) | 880K (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-07-12 (+ 31 d) | 880K (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-06-10 (+ 31 d) | 880K (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-05-10 (+ 28 d) | 880K (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-04-11 (+ 38 d) | 880K (+ 0B) | 11 (+ 0) | 73 (+ 0) | 3,061 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
| 2018-03-03 | 880K | 11 | 73 | 3,061 | 0B | 0 |
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