Bike

该数据集来源于纽约市开放数据门户，旨在预测共享单车需求。它主要关注每个站点借车人数的数据。数据集的规模包括717个传感器，时间序列数据覆盖1,488个时间步，时间间隔为60分钟，数值范围从0.0到108.0。该数据集的任务是针对用户流动性进行回归分析。

This dataset is sourced from the New York City Open Data Portal, with the primary objective of bike-sharing demand prediction. It primarily focuses on the data of bike rental counts at each station. The dataset's scale is defined by 717 sensors, with time-series data covering 1,488 time steps at a 60-minute sampling interval, and the numerical values range from 0.0 to 108.0. The task associated with this dataset is regression analysis targeting user mobility.

搜集汇总

背景与挑战

背景概述

该数据集包含Citi Bike的骑行历史数据，涵盖骑行ID、时间、站点信息、用户类型等字段，数据经过清洗处理。同时提供实时骑行数据的GBFS格式访问。数据集适用于分析、开发和可视化等用途。