Data analytics for electric vehicle specifications and prices

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.