Data analytics for electric vehicle specifications and prices

Mohamed Yusoff, Syarifah Adilah and Hamidan, Siti Nuralia Natashya and Mokhtar, Madihah and Roslan Zaidi, Nurdiyana Hanisa (2025) Data analytics for electric vehicle specifications and prices. The New Frontiers Of E-Learning : Shaping The Future Of Education, 10. pp. 153-169. ISSN 978-629-98755-7-4

Official URL: https://appspenang.uitm.edu.my/sigcs/

Abstract

The worldwide surge in Electric Vehicle adoption underscores the importance of not only production and sales but also the characteristics that shape consumer choices, such as price, battery capacity, range, charging time, and performance. While macro-level data reveals the overall market trajectory, micro-level analysis of vehicle specifications provides insight into how product attributes and pricing influence adoption across regions. This study examines the Electric Vehicle Specifications and Price dataset, which comprises both macro- and micro-level data, to be evaluated using data analytics in Python. The study emphasises the establishment of protocols for data management quality before doing any descriptive analysis.

Metadata

Item Type: Article
Creators:
Creators
Email / ID Num.
Mohamed Yusoff, Syarifah Adilah
UNSPECIFIED
Hamidan, Siti Nuralia Natashya
UNSPECIFIED
Mokhtar, Madihah
UNSPECIFIED
Roslan Zaidi, Nurdiyana Hanisa
UNSPECIFIED
Contributors:
Contribution
Name
Email / ID Num.
Advisor
Abd Rahman, Nor Hanim
UNSPECIFIED
Chief Editor
Othman, Jamal
UNSPECIFIED
Subjects: Q Science > QA Mathematics > Analysis > Smoothness of functions
Divisions: Universiti Teknologi MARA, Pulau Pinang > Permatang Pauh Campus
Journal or Publication Title: The New Frontiers Of E-Learning : Shaping The Future Of Education
ISSN: 978-629-98755-7-4
Volume: 10
Page Range: pp. 153-169
Keywords: Electric vehicle, Data analytics, Macro-level
Date: September 2025
URI: https://ir.uitm.edu.my/id/eprint/132177
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