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Laptop Market Analysis: Comprehensive Data Visualization and Statistical Insights


Authors : Neha Joshi; Jyoti Sabrad

Volume/Issue : Volume 11 - 2026, Issue 3 - March


Google Scholar : https://tinyurl.com/2ntf7etu

Scribd : https://tinyurl.com/4stpr4dn

DOI : https://doi.org/10.38124/ijisrt/26mar1691

Note : A published paper may take 4-5 working days from the publication date to appear in PlumX Metrics, Semantic Scholar, and ResearchGate.


Abstract : This research work presents a granular analysis of the contemporary laptop market, focusing on the intersection of hardware configurations, pricing strategies, and consumer satisfaction. By examining a curated dataset of 48 distinct laptop models, the study investigates how technical specifications including processor architecture, RAM capacity, storage media, and display technology influence market positioning and user perception. The scope of this analysis covers a broad economic spectrum, with unit prices ranging from ₹23,990 to ₹81,990, providing a comprehensive view of both entry-level and mid-to-high-tier segments. Utilizing a combination of data visualization and statistical inference, the paper quantifies the relationship between hardware utility and customer ratings (ranging from 3.5 to 4.7).

Keywords : Data Visualization, Processor Architecture, RAM Capacity, Storage Media, Display Technology, Economic Spectrum, Statistical Inference.

References :

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This research work presents a granular analysis of the contemporary laptop market, focusing on the intersection of hardware configurations, pricing strategies, and consumer satisfaction. By examining a curated dataset of 48 distinct laptop models, the study investigates how technical specifications including processor architecture, RAM capacity, storage media, and display technology influence market positioning and user perception. The scope of this analysis covers a broad economic spectrum, with unit prices ranging from ₹23,990 to ₹81,990, providing a comprehensive view of both entry-level and mid-to-high-tier segments. Utilizing a combination of data visualization and statistical inference, the paper quantifies the relationship between hardware utility and customer ratings (ranging from 3.5 to 4.7).

Keywords : Data Visualization, Processor Architecture, RAM Capacity, Storage Media, Display Technology, Economic Spectrum, Statistical Inference.

Paper Submission Last Date
30 - April - 2026

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