Home Data Rentals Vacation Rentals + Rentals

World 109,318 Vacation Rentals: Price, House Type w/ Property Feature, Image

Data	1.03G (+ 0B)
Tables	20 (+ 0)
Columns	83 (+ 0)
Table Rows	4,594,824 (+ 0)
Media	1.80G (+ 0B)
Files	628,317 (+ 0)
Last Commit	2018-12-09 10:35:59 (+ 29 d)

This is a fields-rich database of 104,437 vacation rentals categorized into 110 classifications by cities around the world. Each record has title, price, detail, bedroom, bathroom, sleep, house type, tripadvisor property number, response rate, update and language spoken.

From the whole world vacation rentals database, It has 7 vacation rentals related tables, they are entertainment table with 8 records, kitchen table with 7 records, outdoor table with 11 records, phone or internet talbe with 4 records, pool spa table with 9 records, general table with 13 records and property feature table with 11 records. It also comes with 2,503,640 vacation rental images in the 1.80G media set of this database.

The whole world vacation rentals database consists of 20 tables.

Data Samples

Main (Desktop) / JSON / Excel / CSV (Download)

Database APIs

http://n3.datasn.io/data/api/v1/n3_chennan/vacation_rental/ (By Table)

Media Files

vacation_retal_image ^{Bytes: 1.80G / Files: 628,317}

Tables + Columns
Media Files
Updates

Tables & Columns

Tables	Rows	Columns	Non-empty
category_1	110	title	100%
category_2	523	title	100%
		category_1_id	100%
		category_1	100%
category_2_x_vacation_retal	443,874	category_2_id	100%
category_2_x_vacation_retal	443,874	vacation_retal_id	100%
entertainment	8	value	100%
general	13	value	100%
image	2,503,640	image_url	100%
image	2,503,640	vacation_retal_id	100%
kitchen	7	value	100%
outdoor	11	value	100%
phone_or_internet	4	value	100%
pool_spa	9	value	100%
property_feature	11	value	100%
vacation_retal	104,437	title	99.96%
		price	100%
		detail	100%
		bedroom	96.49%
		bathroom	99.58%
		sleep	99.99%
		house_type	100%
		tripadvisor_property_no	100%
		response_rate	77.52%
		update	100%
		language_spoken	100%
vacation_retal_x_entertainment	224,549	vacation_retal_id	100%
vacation_retal_x_entertainment	224,549	entertainment_id	100%
vacation_retal_x_general	426,829	vacation_retal_id	100%
vacation_retal_x_general	426,829	general_id	100%
vacation_retal_x_kitchen	359,629	vacation_retal_id	100%
vacation_retal_x_kitchen	359,629	kitchen_id	100%
vacation_retal_x_outdoor	175,345	vacation_retal_id	100%
vacation_retal_x_outdoor	175,345	outdoor_id	100%
vacation_retal_x_phone_or_internet	138,255	vacation_retal_id	100%
vacation_retal_x_phone_or_internet	138,255	phone_or_internet_id	100%
vacation_retal_x_pool_spa	95,381	vacation_retal_id	100%
vacation_retal_x_pool_spa	95,381	pool_spa_id	100%
vacation_retal_x_property_feature	122,189	vacation_retal_id	100%
vacation_retal_x_property_feature	122,189	property_feature_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

vacation_retal_image

Size (Bytes)	Files
1.80G	628,317

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2018-12-09 (+ 29 d)	1.03G (+ 0B)	20 (+ 0)	83 (+ 0)	4,594,824 (+ 0)	1.80G (+ 0B)	628,317 (+ 0)
2018-11-09 (+ 27 d)	1.03G (+ 687.77M)	20 (+ 0)	83 (+ 0)	4,594,824 (- 4,881)	1.80G (+ 0B)	628,317 (+ 0)
2018-10-13 (+ 29 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.80G (+ 0B)	628,317 (+ 0)
2018-09-13 (+ 34 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.80G (+ 0B)	628,317 (+ 0)
2018-08-09 (+ 27 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.80G (+ 0B)	628,317 (+ 0)
2018-07-12 (+ 31 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.80G (+ 0B)	628,317 (+ 0)
2018-06-10 (+ 31 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.80G (+ 0B)	628,317 (+ 0)
2018-05-10 (+ 28 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.80G (+ 0B)	628,317 (+ 0)
2018-04-11 (+ 38 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.80G (+ 0B)	628,317 (+ 0)
2018-03-03 (+ 35 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.80G (+ 0B)	628,317 (+ 0)
2018-01-27 (+ 29 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.80G (+ 0B)	628,317 (+ 0)
2017-12-29 (+ 20 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.80G (+ 505.62M)	628,317 (+ 183,676)
2017-12-08 (+ 9 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	1.30G (+ 354.53M)	444,641 (+ 124,740)
2017-11-28 (+ 19 d)	370.06M (+ 0B)	20 (+ 0)	83 (+ 0)	4,599,705 (+ 0)	0.96G (+ 685.48M)	319,901 (+ 221,880)
2017-11-09 (+ 10 d)	370.06M (+ 5.72M)	20 (+ 0)	83 (+ 0)	4,599,705 (- 3,537)	293.90M (+ 293.90M)	98,021 (+ 98,021)
2017-10-29 (+ 19 d)	364.34M (+ 228.88M)	20 (+ 0)	83 (+ 0)	4,603,242 (+ 3,802,220)	0B (+ 0B)	0 (+ 0)
2017-10-09	135.47M	20	83	801,022	0B	0

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FAQ

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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.