five

Customers' Problems with Electricity Distribution in Delta State Nigeria

收藏
Mendeley Data2024-03-27 更新2024-06-26 收录
下载链接:
https://data.mendeley.com/datasets/msrhyv489k
下载链接
链接失效反馈
官方服务:
资源简介:
This data set captures the problems faced by electricity customers in Delta, State Nigeria. The data was collected by means of a well structured questionnaire that was implemented by well trained interviewers in a field survey. Nigeria is currently bedeviled by a plethora of problems especially in the distribution aspect of the power sector. The data set captures data in both urban and rural areas of Delta State cutting across the three Senatorial Districts. Local Government Headquarters were designated as urban areas whiles villages were taken as rural areas. The data contains information on customers biodata and their experiences with the services of their electricity distribution company. The data set also contains information about the observed problems with the services of the distribution company, Respondents in the survey were asked to score positive statements bordering on their experience with the distribution company on a five-point scale indicating their experience with the distribution company. Respondents were also required to score observed problems with the services of the distribution company on a scare of 0 to 10 inclusive depending on the severity of the problem. A score of zero meaning that the problems in limited while a score of 10 means that the problem is severe, The data set are presented in two different formats i.e. Microsoft Excel and IBM SPSS database format.

本数据集收录了尼日利亚三角洲州(Delta State)电力用户所面临的各类问题。本次数据通过结构化问卷收集所得,问卷由经过专业培训的访员在实地调研中实施。尼日利亚当前电力领域问题繁多,尤以配电环节最为突出。本数据集覆盖三角洲州城乡全域,涵盖该州全部三个参议院选区(Senatorial Districts)的相关数据。调研中将地方政府总部所在地划定为城区,村庄则作为农村区域。数据集包含用户的个人背景信息,以及其对所属电力配电公司服务的使用体验,同时收录了受访者观测到的该公司服务相关问题的信息。调研过程中,受访者需基于自身使用该配电公司服务的体验,对相关正向表述进行5分量表评分,以量化服务体验;此外,受访者还需根据问题的严重程度,对观测到的配电公司服务问题进行0至10分(含两端)的评分,其中评分为0代表问题影响有限,评分为10则代表问题极为严重。本数据集提供两种存储格式:微软Excel(Microsoft Excel)与IBM SPSS数据库格式。
创建时间:
2024-01-23
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