Name | n3_chennan_CS_chaye_puercn_com |
---|---|
Data | 19.92M (+ 0B) |
Tables | 5 (+ 0) |
Columns | 28 (+ 0) |
Table Rows | 42,741 (+ 0) |
Media | 5.22M (+ 0B) |
Files | 34 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
全国6,661种茶叶信息数据库,每个茶叶中有年份,工艺,规格,浏览次数,产品简介,品名,厂商,品牌等。这些茶叶来自全国128个品牌。除此之外,在茶叶数据库的媒体文件中还包含有29,291张茶叶图片。该全国茶叶信息数据库中共有5个表。
This is a leaf tea database having 6,661 records from 128 brands of China. Each record is comprised of year, craft work, specification, view times, product profile, name, manufacture, brand, etc. It also comes with 29,291 images in the 5.22M media set of this tea-leaves data. The whole China leaf tea data set totally has 5 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
pinpai | 128 | title |
100%
|
image | 29,291 | chaye_id |
100%
|
alt |
91.51%
|
||
pinpai_x_chaye | 6,661 | pinpai_id |
100%
|
chaye_id |
100%
|
||
chaye | 6,661 | title |
100%
|
nianfen |
100%
|
||
gongyi |
100%
|
||
guige |
100%
|
||
liulan_cishu |
100%
|
||
chanpin_jianjie |
99.7%
|
||
pingce_zixun |
99.62%
|
||
pinming |
99.7%
|
||
changshang |
98.9%
|
||
pinpai |
99.7%
|
Size (Bytes) | Files |
---|---|
5.22M | 34 |
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2023-01-01 (+ 95 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2022-09-27 (+ 271 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2021-12-30 (+ 115 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2021-09-05 (+ 150 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2021-04-08 (+ 68 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2021-01-29 (+ 120 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2020-10-01 (+ 38 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2020-08-23 (+ 141 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2020-04-04 (+ 196 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2019-09-21 (+ 197 d) | 19.92M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 0B) | 34 (+ 0) |
2019-03-07 (+ 43 d) | 19.92M (+ 96K) | 5 (+ 1) | 28 (+ 0) | 42,741 (+ 0) | 5.22M (+ 5.22M) | 34 (+ 34) |
2019-01-23 (+ 44 d) | 19.83M (+ 0B) | 4 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 19.83M (+ 0B) | 4 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 (+ 27 d) | 19.83M (- 1.02M) | 4 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-10-13 (+ 29 d) | 20.84M (+ 0B) | 4 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-09-13 (+ 34 d) | 20.84M (+ 0B) | 4 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-08-09 (+ 27 d) | 20.84M (+ 0B) | 4 (+ 0) | 28 (+ 0) | 42,741 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-07-12 | 20.84M | 4 | 28 | 42,741 | 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.