Title: Demand forecast for bike sharing rentals

Authors: Ahana Chowdhury; Shruti Sawant; Puja Padiya; Shamal Salunkhe

Addresses: Department of Computer Engineering, Ramrao Adik Institute of Technology, DY Patil Deemed to be University, Nerul, Navi Mumbai, 400706, Maharashtra, India ' Department of Computer Engineering, Ramrao Adik Institute of Technology, DY Patil Deemed to be University, Nerul, Navi Mumbai, 400706, Maharashtra, India ' Department of Computer Engineering, Ramrao Adik Institute of Technology, DY Patil Deemed to be University, Nerul, Navi Mumbai, 400706, Maharashtra, India ' Department of Instrumentation Engineering, Ramrao Adik Institute of Technology, DY Patil Deemed to be University, Nerul, Navi Mumbai, 400706, Maharashtra, India

Abstract: For decades, data analytics has been instrumental in helping companies enhance their performance and achieve growth. By leveraging data analytics and visualisation, businesses have reaped numerous benefits, including the ability to identify emerging trends, analyse relationships and patterns within data, conduct in-depth analysis, and gain valuable insights from these patterns. Given the current demands of the industry, it is crucial to thoroughly explore these concepts to capitalise on the advantages they offer. This research specifically focuses on examining a dataset from Capital Bikes in Washington DC, providing a comprehensive understanding of data analytics and visualisation.

Keywords: analysis; visualisation; ride; share; rental; Ola; pattern; bike; dataset.

DOI: 10.1504/IJBSR.2024.142074

International Journal of Business and Systems Research, 2024 Vol.18 No.6, pp.591 - 612

Received: 10 Mar 2024
Accepted: 22 Apr 2024
Published online: 07 Oct 2024 *

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