Datasetpublic

kpubdata/seoul-bike-rent-month

Seoul Bike Ttareungi Monthly Usage (서울 따릉이 월별 이용정보) Monthly usage statistics for Seoul's public bike-sharing system "Ttareungi" (따릉이), aggregated by station, subscription type, and age group. Important: Text values (rent_type, station_name, age_group) are in Korean. Column names are in English for global accessibility. Dataset Summary Records ~119,000 Features 11 Period Multiple months (YYYYMM format) Source Seoul Open Data Plaza… See the full description on the dataset page: https://huggingface.co/datasets/kpubdata/seoul-bike-rent-month.

sourceHugging Facecc-by-4.0updated 5mo agoView on Hugging Face

1likes35downloads

Dataset Card

Seoul Bike Ttareungi Monthly Usage (서울 따릉이 월별 이용정보)

Monthly usage statistics for Seoul's public bike-sharing system "Ttareungi" (따릉이), aggregated by station, subscription type, and age group.

Important: Text values (rent_type, station_name, age_group) are in Korean. Column names are in English for global accessibility.

Dataset Summary


Records	~119,000
Features	11
Period	Multiple months (YYYYMM format)
Source	Seoul Open Data Plaza

Features

Feature	Description
`rent_month`	Rental year-month in YYYYMM format (대여 년월)
`rent_type`	Subscription type: 정기권 (monthly pass), 일일권 (daily pass), etc.
`station_no`	Station number (대여소 번호)
`station_name`	Station name in Korean (대여소 이름)
`gender_code`	Gender code (성별 코드). May be null.
`age_group`	Age group: ~10대, 20대, 30대, etc. (연령대)
`use_count`	Number of rentals (이용 건수)
`exercise_kcal`	Total exercise amount in kcal (운동량)
`carbon_reduction_kg`	Total carbon reduction in kg (탄소 절감량)
`distance_m`	Total distance traveled in meters (이동 거리)
`duration_min`	Total duration in minutes (이동 시간)

Usage

python

from datasets import load_dataset

ds = load_dataset("kpubdata/seoul-bike-rent-month")
df = ds["train"].to_pandas()
print(df.head())

Or collect fresh data with kpubdata:

python

from kpubdata import Client

client = Client.from_env()
ds = client.dataset("seoul.bike_rent_month")
result = ds.list(RENT_NM="202604", page_size=1000)

Source

This dataset was generated using kpubdata from public data APIs on data.seoul.go.kr.

Legal & Attribution

This dataset uses "서울시 공공자전거 이용정보(월별)" published by the Seoul Metropolitan Government (서울특별시) under Korea Open Government License Type 1 (공공누리 제1유형).

Korean attribution (한국어 출처표시):

본 저작물은 '서울특별시'에서 작성하여 공공누리 제1유형으로 개방한 '서울시 공공자전거 이용정보(월별)'를 이용하였으며, 해당 저작물은 'data.seoul.go.kr'에서 무료로 다운받으실 수 있습니다.

License: CC-BY-4.0