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全国50市1,844日租房数据库: 价格,经度,纬度 China 1,844 Estate for Daily Rent Data: Price, Lon, Lat, Attach in 50 Cities

Name	n3_chennan_CS_zufang_mayi_com
Data	0.97M (+ 0B)
Tables	3 (+ 0)
Columns	20 (+ 0)
Table Rows	3,738 (+ 0)
Media	0B (+ 0B)
Files	0 (+ 0)
Last Commit	2023-06-19 18:36:38 (+ 169 d)

这是全国50个城市的1,844个日租房信息数据库。每个日租房记录中包含有价格，经度，纬度，评分和附带。整个日租房信息数据库中共有3个表。

In the estate for daily rent database, there are 1,844 records from 50 cities in China. Each record consists of price, longitude, latitude, score and attach. The whole China daily house renting data set 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/n3_chennan/chinese_estate_for_daily_rent_information_2/ (By Table)

Tables + Columns
Media Files
Updates
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Tables & Columns

Tables	Rows	Columns	Non-empty
category_1_x_rizufang	1,844	rizufang_id	100%
category_1_x_rizufang	1,844	category_1_id	100%
rizufang	1,844	fudai	98.7%
		pingfen	99.95%
		weidu	100%
		jingdu	100%
		jiage	100%
		title	100%
category_1	50	title	100%

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)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2023-01-01 (+ 95 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2022-09-27 (+ 271 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-12-30 (+ 115 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-09-05 (+ 150 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-04-08 (+ 68 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2021-01-29 (+ 120 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-10-01 (+ 38 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-08-23 (+ 141 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2020-04-04 (+ 196 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-09-21 (+ 197 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-03-07 (+ 43 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2019-01-23 (+ 44 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-12-09 (+ 29 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-11-09 (+ 27 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-10-13 (+ 29 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-09-13 (+ 34 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-08-09 (+ 27 d)	0.97M (+ 0B)	3 (+ 0)	20 (+ 0)	3,738 (+ 0)	0B (+ 0B)	0 (+ 0)
2018-07-12	0.97M	3	20	3,738	0B	0

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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.