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86类5,303谚语数据库 API of 5,303 Proverbs by 86 Categories

Name	n3_chennan_CS_yanyu_yanyu_911cha_com
Data	2.12M (+ 0B)
Tables	3 (+ 0)
Columns	14 (+ 0)
Table Rows	10,692 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

该谚语信息数据库共有86个分类下的5,303个谚语且共有3个表。

This proverbs database has 5,303 records by 86 categories. The whole proverbs data set totally has 3 tables.

Main List (for Desktop / for Mobile) / JSON / XML / Excel / CSV (Download CSV) / View by Table

Tables	Rows	Columns	Non-empty
category_1	86	title	100%
yanyu	5,303	yanyu	100%
category_1_x_yanyu	5,303	yanyu_id	100%
category_1_x_yanyu	5,303	category_1_id	100%

Meta columns id and ts are not shown here, but included in columns total.
Some statistical or memo columns are not shown here, but included in columns total.
Non-empty percentage indicates the percent of values that are non-empty for that particular column.

No media sets.

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	2.12M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	2.12M (- 1.20M)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	3.33M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	3.33M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	3.33M (+ 0B)	3 (+ 0)	14 (+ 0)	10,692 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12	3.33M	3	14	10,692	0B	0

In the same time, you can also access this data set via API.

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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.
Why are data size increments not in line with those of number of rows?

The scanning and profiling of data size increments are done separately from those of the number of rows.