Enlightening Paths: Python's Vision into the Electric Vehicle Market

Mohd. Azharuddin Abrar; Mohammed Abrar; MD Imaduddin Aiman; Mohammad Yaser Hussain; T. Aditya Sai Srinivas

doi:10.48001/jocevd.2024.2228-35

Authors

Mohd. Azharuddin Abrar Department of Artificial Intelligence and Machine Learning, Jayaprakash Narayan College of Engineering, Dharmapur, Telangana, India
Mohammed Abrar Department of Artificial Intelligence and Machine Learning, Jayaprakash Narayan College of Engineering, Dharmapur, Telangana, India
MD Imaduddin Aiman Department of Artificial Intelligence and Machine Learning, Jayaprakash Narayan College of Engineering, Dharmapur, Telangana, India
Mohammad Yaser Hussain Department of Artificial Intelligence and Machine Learning, Jayaprakash Narayan College of Engineering, Dharmapur, Telangana, India
T. Aditya Sai Srinivas Department of Artificial Intelligence and Machine Learning, Jayaprakash Narayan College of Engineering, Dharmapur, Telangana, India

DOI:

https://doi.org/10.48001/jocevd.2024.2228-35

Keywords:

Data analysis, Data visualisation, Compound Annual Growth Rate (CAGR), Electric Vehicles (EVs), Market size analysis, Python programming

Abstract

This article goes deep into understanding the size of the electric vehicle (EV) market using Python programming. We use tools like pandas, matplotlib, and seaborn to dig into the data and see how EV registrations have been changing over time. We look at different angles like how electric ranges are spread out, what the average range looks like for each model year, and who the big players are in terms of market share for manufacturers and models. One of our primary aims is to forecast the future market size using the data at our disposal, utilising methods like Compound Annual Growth Rate (CAGR) calculations. Additionally, we rely on visual tools like histograms, scatter plots, and bar charts to guide us in visualising the trajectory of the EV market's growth and to gain insights into its ongoing evolution. This study not only shows us how quickly the EV sector is growing but also demonstrates just how powerful Python can be for doing in-depth market size analyses.

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