Moroccan used cars dataset: Insights into the used car market

IF 1.4 Q3 MULTIDISCIPLINARY SCIENCES

Data in Brief Pub Date : 2025-09-19 DOI:10.1016/j.dib.2025.112087

Essaadia Tabarnoust, Mohammed Mghari, Youssef Zaz

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引用次数: 0

Abstract

The Moroccan used car market is a key indicator of consumer preferences, economic trends, and market dynamics in North Africa. This paper introduces the Moroccan Used Cars Dataset (MUCars-2024), which documents the used car market in Morocco throughout 2024. The dataset offers a detailed view of vehicles listed for sale during this period, providing valuable insights into this rapidly evolving market. Data were collected from prominent online platforms dedicated to car sales using web scraping techniques, ensuring comprehensive coverage. Post-collection, data were rigorously preprocessed, which included removing unreliable features with excessive missing data and standardizing other attributes such as price, mileage, and vehicle characteristics. The final dataset contains 101,896 listings, offering a robust representation of the Moroccan used car market.

MUCars-2024 provides a rich set of features—including vehicle specifications (brand, model, year), condition (mileage, first-owner status), and technical details (fiscal power, gearbox)—that enable detailed analysis. As a versatile resource for disciplines like economics, artificial intelligence, and automotive studies, it allows researchers to develop price prediction models, perform clustering analyses, and conduct spatial studies on consumer demand.

The MUCars-2024 dataset provides a high-resolution snapshot of a critical year in Morocco's automotive market. It serves as a foundational baseline for future temporal studies and enables immediate cross-market comparisons. As a publicly accessible resource, it directly supports research reproducibility and fosters innovation by bridging the gap between raw market data and academic inquiry, offering a valuable tool for data-driven research and industry practice.

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摩洛哥二手车数据集：洞察二手车市场

摩洛哥二手车市场是北非消费者偏好、经济趋势和市场动态的关键指标。本文介绍了摩洛哥二手车数据集（MUCars-2024），该数据集记录了整个2024年摩洛哥的二手车市场。该数据集提供了在此期间上市销售的车辆的详细视图，为这个快速发展的市场提供了有价值的见解。数据是从专门从事汽车销售的知名在线平台上收集的，使用网络抓取技术，确保全面覆盖。收集后，对数据进行严格的预处理，包括去除数据缺失过多的不可靠特征，并对价格、里程和车辆特征等其他属性进行标准化。最终的数据集包含101896个列表，提供了摩洛哥二手车市场的稳健代表。MUCars-2024提供了一套丰富的功能，包括车辆规格（品牌、型号、年份）、状况（里程、首次所有者状态）和技术细节（财政权力、变速箱），从而可以进行详细分析。作为经济学、人工智能和汽车研究等学科的通用资源，它允许研究人员开发价格预测模型，执行聚类分析，并对消费者需求进行空间研究。MUCars-2024数据集提供了摩洛哥汽车市场关键一年的高分辨率快照。它可以作为未来时间研究的基础基线，并可以立即进行跨市场比较。作为一种可公开访问的资源，它通过弥合原始市场数据和学术研究之间的差距，直接支持研究的可重复性和促进创新，为数据驱动的研究和行业实践提供了有价值的工具。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Data in Brief MULTIDISCIPLINARY SCIENCES-

CiteScore

3.10

自引率

0.00%

发文量

996

审稿时长

70 days

期刊介绍： Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.