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386中国游轮旅游航线数据库 China 386 Cruises Data: Line, Feature, Schedule, Fee & 87 Ships

Name	n3_lyz_cruise.ctrip.com_line
Data	15.62M (+ 0B)
Tables	17 (+ 0)
Columns	100 (+ 0)
Table Rows	22,220 (+ 0)
Media	167.60M (+ 0B)
Files	3,470 (+ 0)
Last Commit	2023-06-19 18:12:05 (+ 169 d)

本数据库为中国国内出发的游轮航线信息数据集。

数据集的两个API主要包括了航线名称，游轮名称，航线评分，航线简介，沿途行程景点信息，不同旅游公司的详细的价格信息以及游轮的舱室设施环境信息。
此外，该中国游轮旅游航线数据库包含游轮以及沿途景点照片三千多张。

两个API保存在一个数据库中。

In the cruises database, there are 505 companies offering 386 cruises with 87 ships of 9 port cities in China. Each cruise has description, line, title, score overall, comment count, recommend scale, destination and feature. There are 3,537 images and these images are keeped in the 167.60M media sets. The whole China cruises database consists of 17 tables.

Data Samples

Main List (for Desktop / for Mobile) / JSON / XML / Excel / CSV (Download CSV) / View by Table
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_lyz/cruise_tourism_in_china_information_2/ (By Table)

Media Files

image ^{Bytes: 167.60M / Files: 3,470}

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
schedule_time	671	time	100%
		event	100%
		cruise_schedule_id	100%
ship	87	description	0%
		ship_company	100%
		ship	100%
room_price	8,297	price	100%
		original_price	100%
		room_id	100%
		type	83.23%
		description	100%
		room	100%
bank_attractions	61	attractions	100%
		description	100%
		bank_content_detail_id	100%
bank_content	158	mark	100%
bank_content	158	cruise_schedule_id	100%
bank_content_detail	223	title	100%
		description	27.35%
		bank_content_id	100%
		mark	100%
		fee	87%
		duration	45.29%
		catering	100%
company	505	inner_cabin_price_from	87.92%
		seascape_price_from	60.4%
		balcony_price_from	88.12%
		suite_price_from	49.9%
		company	100%
		destination	100%
cruise	386	description	76.17%
		title	100%
		line	98.96%
		score_overall	79.27%
		comment_count	79.27%
		recommend_scale	79.27%
		destination	100%
		feature	56.99%
cruise_fee	766	title	100%
		value	100%
		cruise_id	100%
cruise_schedule	4,719	day	100%
		cruise_id	100%
		location	99.7%
		arrive	33.06%
		leave	33.14%
		description	76.37%
cruise_x_company	520	cruise_id	100%
cruise_x_company	520	company_id	100%
cruise_x_ship	386	cruise_id	100%
cruise_x_ship	386	ship_id	100%
image_slug	3,537	cruise_id	100%
port_city	9	city	100%
port_city_x_cruise	394	port_city_id	100%
port_city_x_cruise	394	cruise_id	100%
room	1,501	title	100%
room	1,501	company_id	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

image

Size (Bytes)	Files
167.60M	3,470

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2023-01-01 (+ 95 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2022-09-27 (+ 271 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2021-12-30 (+ 115 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2021-09-05 (+ 150 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2021-04-08 (+ 68 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2021-01-29 (+ 120 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2020-10-01 (+ 38 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2020-08-23 (+ 141 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2020-04-04 (+ 196 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2019-09-21 (+ 197 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2019-03-07 (+ 43 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2019-01-23 (+ 44 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2018-12-09 (+ 29 d)	15.62M (+ 0B)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2018-11-09 (+ 27 d)	15.62M (- 2.98M)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 0B)	3,470 (+ 0)
2018-10-13 (+ 29 d)	18.61M (+ 3.50M)	17 (+ 0)	100 (+ 0)	22,220 (+ 0)	167.60M (+ 167.60M)	3,470 (+ 3,470)
2018-09-13 (+ 34 d)	15.11M (+ 14.06M)	17 (+ 0)	100 (- 2)	22,220 (+ 21,751)	0B (- 0.10M)	0 (- 2)
2018-08-09 (+ 27 d)	1.05M (+ 0B)	17 (+ 0)	102 (+ 0)	469 (+ 0)	100.56K (+ 0B)	2 (+ 0)
2018-07-12	1.05M	17	102	469	100.56K	2

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FAQ

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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.