five

Candidate Dataset of 13th Bangladesh National Parliament Election 2026

收藏
DataCite Commons2026-04-30 更新2026-05-04 收录
下载链接:
https://data.mendeley.com/datasets/kt6rndj2xs/1
下载链接
链接失效反馈
官方服务:
资源简介:
This dataset contains structured information extracted from the nomination affidavits (Holofnama) submitted by candidates contesting in the 13th National Parliamentary Election of Bangladesh, held on 12 February 2026. The source documents were publicly released by the Election Commission of Bangladesh, and the dataset was compiled through a manual extraction process followed by systematic standardization, normalization, and validation to ensure consistency and usability across records. The dataset preserves the information exactly as declared by the candidates in their publicly available affidavits, with no alteration beyond formatting standardization. It includes a broad range of candidate-level attributes such as personal and demographic details, electoral constituency, political party affiliation, profession, educational qualifications, annual income, movable and immovable assets, liabilities, tax-related disclosures, and participation in social activities. The final dataset is organized in both excel and tabular CSV format, where each row represents an individual candidate and each column corresponds to a specific declared attribute. This structure makes the dataset suitable for use in a wide variety of computational and social science workflows. This dataset may be useful for researchers and practitioners working in political science, governance, electoral studies, public policy, socio-economic analysis, statistical modeling, data mining, machine learning, and comparative election studies. It also provides a valuable resource for transparency and accountability research in democratic institutions. No sensitive or hidden personal information is included beyond what is already publicly disclosed in official candidate affidavits, and no private identifiers beyond candidate names have been added.
提供机构:
Mendeley Data
创建时间:
2026-04-30
5,000+
优质数据集
54 个
任务类型
进入经典数据集
二维码
社区交流群

面向社区/商业的数据集话题

二维码
科研交流群

面向高校/科研机构的开源数据集话题

数据驱动未来

携手共赢发展

商业合作