Name | n3_chennan_CS_shoubiao_javawatch_cn |
---|---|
Data | 4.55M (+ 0B) |
Tables | 4 (+ 0) |
Columns | 38 (+ 0) |
Table Rows | 20,606 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
这是一个世界名表大全,共包含4,294个名表信息,这些名表被分为以下5大类,分别是顶级世界名表,奢华世界名表,高档世界名表,时尚世界名表和潮牌。每个名表信息中有手表的销量,价格,品牌,系列,推出年份,手表款式,功能,机芯类型,表盘直径,手表厚度,表盘颜色,表带材质,型号,市场价等。该世界名表信息数据库共有4个表。
In the World Famous Watches database, there are 4,294 records with sales, price, brand, series, launch year, watch style, function, movement type, dial diameter, watch thickness, dial color, watchband material, model, market price, etc. in each. All these luxurious watches are categorized into 5 types, they are top world watch, luxury world watch, high-end world watch, fashion world watch and tide watch. There are 4 tables in the whole world famous watches data set.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
category_2_x_shoubiao | 16,247 | category_2_id |
100%
|
shoubiao_id |
100%
|
||
shoubiao | 4,294 | pinpai |
99.98%
|
jiage |
100%
|
||
xiaoliang |
100%
|
||
title |
100%
|
||
pinpai_xilie |
98.11%
|
||
baidai_caizhi |
98.53%
|
||
shichangjia |
99.98%
|
||
xinghao |
99.65%
|
||
fangshui_shendu |
96.06%
|
||
jingmian_caizhi |
96.2%
|
||
biaoquan |
96.39%
|
||
biaoke_caizhi |
97.23%
|
||
digai |
98.04%
|
||
biaokou_leixing |
98.46%
|
||
biaopan_yanse |
98.95%
|
||
shoubiao_houdu |
11.36%
|
||
biaopan_zhijing |
98.77%
|
||
jixin_leixing |
99.7%
|
||
gongneng |
98.14%
|
||
shoubiao_kuanshi |
98.91%
|
||
tuichu_nianfen |
4.91%
|
||
category_2 | 60 | category_1_id |
100%
|
title |
100%
|
||
category_1 | 5 | title |
100%
|
No media sets.
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 4.55M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 4.55M (- 2.08M) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 6.62M (+ 0B) | 4 (+ 0) | 38 (+ 0) | 20,606 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 | 6.62M | 4 | 38 | 20,606 | 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.