Survey Data on European Consumers' Adoption Attitude Towards Electric Vehicles (EVs)

A survey data on European Consumers' adoption attitude towards electric vehicles (EVs), derived from an earlier research and its dataset posted under Mendeley Data under https://data.mendeley.com/datasets/85nz9k5tf5/4. Specifically, the new derived dataset in this repository is derived from “(6)_Transnational_EVsurvey_datavalues.csv” of the source data.
The dataset consists of 69 predictor features and one binary target feature, which is Question 16 (Q16), which asks the adoption intention regarding EVs. The dataset is suitable for classification analysis, especially with continuization, as done in the research paper, yet can also be analyzed with association mining, as it contains many binary attributes.
The Full Supplement also includes a presentation of the paper, the Orange *.ows model for classification and ranking analysis, and a Supplement document file that contains detailed Literature review.

本数据集为欧洲消费者对电动汽车（Electric Vehicles, EVs）的采用态度调研数据，源自一项既往研究及其发布于Mendeley Data的公开数据集，数据集链接为https://data.mendeley.com/datasets/85nz9k5tf5/4。本仓库中的衍生新数据集源自源数据中的"(6)_Transnational_EVsurvey_datavalues.csv"文件。

该数据集包含69个预测特征与1个二分类目标特征，即问题16（Q16），该问题用于调研电动汽车的采用意向。本数据集适用于分类分析——如研究论文中采用的连续化处理方法，同时因包含大量二分类属性，也可用于关联挖掘分析。

完整补充材料还包含该研究论文的演示文稿、用于分类与排序分析的Orange *.ows模型文件，以及一份包含详细文献综述的补充文档。