Home Data Arts & Literature

2,615美文数据库 2,615 Beautiful Essays Database: Content, Author by 23 Categories

Name	n3zm_365essay_com
Data	19.56M (+ 0B)
Tables	3 (+ 0)
Columns	16 (+ 0)
Table Rows	17,817 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 19:57:45 (+ 169 d)

这是一个中国美文的数据库。美文类型包括美文,经典美文,美文欣赏,励志文章,优美散文。每一篇美文包含文章标题，作者，以及文章内容。该美文数据库共有3个表。

This is a beautiful essays database with 2,615 records. Each record is comprised of title, author and article content. All these essays have 23 categories in this data, for example classic essays, essays enjoy, inspirational and prose, etc. The whole beautiful essays database has 3 tables in total.

Data Samples

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

Data APIs

http://n3.datasn.io/data/api/v1/n3zm/meiwen_1/ (By Table)

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
category_1	23	title	100%
category_1_x_meiwen	15,179	category_1_id	100%
category_1_x_meiwen	15,179	meiwen_id	100%
meiwen	2,615	title	100%
		content	99.89%
		zuozhe	72.39%

Notes:

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.

Media Sets

No media sets.

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	19.56M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	19.56M (+ 256K)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 30 d)	19.31M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	19.31M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	19.31M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12 (+ 31 d)	19.31M (+ 0B)	3 (+ 0)	16 (+ 0)	17,817 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-06-10	19.31M	3	16	17,817	0B	0

Download Latest Commit

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

Access Now!

How to use

View the page for data details.
Sign up for an account and log in.
Open Online Query to build API addresses / calls.
Open the API address / call to access the data.

FAQ

How to access the data?

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.