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Germany 944 Bicycles Data: Price, Image by 17 Makes

Name	n3_lyz_fun_corner.de/en/
Data	6.91M (+ 0B)
Tables	9 (+ 0)
Columns	37 (+ 0)
Table Rows	6,485 (+ 0)
Media	71.47M (+ 0B)
Files	1,101 (+ 0)
Last Commit	2023-06-19 18:12:05 (+ 169 d)

This bicycles database contains 944 records with title, price, price unit, old price, infor, condition, etc. in each. All these bicycles are made by 944 popular Germany bike brands, such as Haibike, Cube, Trek, BLAUPUNKT, Diamant, Winora, Puky, Felt, Specialmodel, TrTrek, Sinus, Moustache, mit, SDURO, Rotwild, Powerfly and TERN. They are classified by 7 categories (Mountainbikes, Road bikes, Electric bikes, Fatbikes, Trekking / Fitness, Children´s bicycles and Cube Bikes 2018). It also comes with 1,081 images of these bicycles. In the media sets, there are 67.58M bike images and 3.89M bike PDF. The whole Germany bicycles database has 9 tables.

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_lyz/bicycle_information_1/ (By Table)

Media Files

bike_image ^{Bytes: 67.58M / Files: 1,081}
bike_pdf ^{Bytes: 3.89M / Files: 20}

Tables + Columns
Media Files
Updates
Download

Tables & Columns

Tables	Rows	Columns	Non-empty
bike	944	title	100%
		price	100%
		price_unit	100%
		old_price	0.64%
		old_price_unit	0.64%
		infor	85.59%
		condition	85.59%
bike_data	2,272	title	100%
		value	100%
		bike_id	100%
bike_x_make	923	bike_id	100%
bike_x_make	923	make_id	100%
category	7	category	100%
category_x_bike	1,241	category_id	100%
category_x_bike	1,241	bike_id	100%
image_slug	1,081	bike_id	100%
make	17	make	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

bike_image

Size (Bytes)	Files
67.58M	1,081

bike_pdf

Size (Bytes)	Files
3.89M	20

Commits / Updates

Time	Data	Tables	Columns	Rows	Media	Files
2023-06-19 (+ 169 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2023-01-01 (+ 95 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2022-09-27 (+ 271 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2021-12-30 (+ 115 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2021-09-05 (+ 150 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2021-04-08 (+ 68 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2021-01-29 (+ 120 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2020-10-01 (+ 38 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2020-08-23 (+ 141 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2020-04-04 (+ 196 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2019-09-21 (+ 197 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2019-03-07 (+ 43 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2019-01-23 (+ 44 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2018-12-09 (+ 29 d)	6.91M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2018-11-09 (+ 27 d)	6.91M (- 0.86M)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2018-10-13 (+ 29 d)	7.77M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2018-09-13 (+ 34 d)	7.77M (+ 0B)	9 (+ 0)	37 (+ 0)	6,485 (+ 0)	71.47M (+ 0B)	1,101 (+ 0)
2018-08-09 (+ 27 d)	7.77M (+ 7.27M)	9 (+ 0)	37 (+ 0)	6,485 (+ 6,374)	71.47M (+ 71.24M)	1,101 (+ 1,099)
2018-07-12 (+ 31 d)	512K (+ 0B)	9 (+ 0)	37 (+ 0)	111 (+ 0)	237.60K (+ 0B)	2 (+ 0)
2018-06-10 (+ 31 d)	512K (+ 0B)	9 (+ 0)	37 (+ 0)	111 (+ 0)	237.60K (+ 0B)	2 (+ 0)
2018-05-10 (+ 28 d)	512K (+ 0B)	9 (+ 0)	37 (+ 0)	111 (+ 0)	237.60K (+ 0B)	2 (+ 0)
2018-04-11	512K	9	37	111	237.60K	2

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