Name | n3_chennan_CS_chongwugou_chongwujiaoyi_com |
---|---|
Data | 277.08M (+ 0B) |
Tables | 5 (+ 0) |
Columns | 28 (+ 0) |
Table Rows | 965,081 (+ 0) |
Media | 0B (+ 0B) |
Files | 0 (+ 0) |
Last Commit | 2023-06-19 18:36:38 (+ 169 d) |
这是全国25个省份提供的203,850只宠物狗信息数据库。每条宠物狗信息中包含有犬种,价格,更新时间,狗狗年龄,狗狗性别,有效期,所在地区,联系人,联系电话和QQ号。狗狗数据库中还有557,356张狗狗图片。整个宠物狗数据库中共有5个表。
There are 203,850 pet dogs from 25 provinces in China of this data. Each dog is comprised of breed, price, update time, dog age, sex, term of validity, location, contact, phone number and QQ number. This China pet dogs data also comes with 557,356 images. The whole China pet dogs data set totally has 5 tables.
Tables | Rows | Columns | Non-empty |
---|---|---|---|
chongwugou | 203,850 | gougou_xingbie |
86.01%
|
86.03%
|
|||
lianxi_dianhua |
86.03%
|
||
lianxiren |
86.03%
|
||
suozai_diqu |
86%
|
||
youxiaoqi |
86%
|
||
gougou_nianling |
85.9%
|
||
gengxin_shijian |
100%
|
||
jiage |
99.93%
|
||
quanzhong |
99.7%
|
||
title |
100%
|
||
sheng_x_chongwugou | 203,850 | chongwugou_id |
100%
|
sheng_id |
100%
|
||
sheng | 25 | title |
100%
|
image | 557,356 | chongwugou_id |
100%
|
Size (Bytes) | Files |
---|---|
0P | 0 |
Time | Data | Tables | Columns | Rows | Media | Files |
---|---|---|---|---|---|---|
2023-06-19 (+ 169 d) | 277.08M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2023-01-01 (+ 95 d) | 277.08M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2022-09-27 (+ 271 d) | 277.08M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-12-30 (+ 115 d) | 277.08M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-09-05 (+ 150 d) | 277.08M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-04-08 (+ 68 d) | 277.08M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2021-01-29 (+ 120 d) | 277.08M (+ 137.02M) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-10-01 (+ 38 d) | 140.06M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-08-23 (+ 141 d) | 140.06M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2020-04-04 (+ 196 d) | 140.06M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-09-21 (+ 197 d) | 140.06M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-03-07 (+ 43 d) | 140.06M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2019-01-23 (+ 44 d) | 140.06M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 0) | 0B (+ 0B) | 0 (+ 0) |
2018-12-09 (+ 29 d) | 140.06M (+ 0B) | 5 (+ 0) | 28 (+ 0) | 965,081 (+ 143,323) | 0B (+ 0B) | 0 (+ 0) |
2018-11-09 | 140.06M | 5 | 28 | 821,758 | 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.