{"title":"Impute-VSS: A comprehensive web-based visualization and simulation suite for comparative data imputation and statistical evaluation","authors":"Vartul Shrivastava , Shekhar Shukla","doi":"10.1016/j.softx.2025.102130","DOIUrl":null,"url":null,"abstract":"<div><div>In today's technological landscape, where data processing forms the backbone of modeling and predictive analytics, data imputation is crucial in filling missing values within datasets using statistical techniques. However, a notable gap exists in the literature for a toolkit that intuitively offers data imputation. This research aims to bridge the gap by introducing Impute-VSS. This web-based imputation suite offers comparative simulations along with a novel imputation management pipeline for in-depth interpretation of imputation techniques. This manuscript showcases the technical premise of Impute-VSS and emphasises its potential as an inclusive data imputation suite for practitioners and researchers.</div></div>","PeriodicalId":21905,"journal":{"name":"SoftwareX","volume":"30 ","pages":"Article 102130"},"PeriodicalIF":2.4000,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"SoftwareX","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2352711025000974","RegionNum":4,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, SOFTWARE ENGINEERING","Score":null,"Total":0}
引用次数: 0
Abstract
In today's technological landscape, where data processing forms the backbone of modeling and predictive analytics, data imputation is crucial in filling missing values within datasets using statistical techniques. However, a notable gap exists in the literature for a toolkit that intuitively offers data imputation. This research aims to bridge the gap by introducing Impute-VSS. This web-based imputation suite offers comparative simulations along with a novel imputation management pipeline for in-depth interpretation of imputation techniques. This manuscript showcases the technical premise of Impute-VSS and emphasises its potential as an inclusive data imputation suite for practitioners and researchers.
期刊介绍：
SoftwareX aims to acknowledge the impact of software on today''s research practice, and on new scientific discoveries in almost all research domains. SoftwareX also aims to stress the importance of the software developers who are, in part, responsible for this impact. To this end, SoftwareX aims to support publication of research software in such a way that: The software is given a stamp of scientific relevance, and provided with a peer-reviewed recognition of scientific impact; The software developers are given the credits they deserve; The software is citable, allowing traditional metrics of scientific excellence to apply; The academic career paths of software developers are supported rather than hindered; The software is publicly available for inspection, validation, and re-use. Above all, SoftwareX aims to inform researchers about software applications, tools and libraries with a (proven) potential to impact the process of scientific discovery in various domains. The journal is multidisciplinary and accepts submissions from within and across subject domains such as those represented within the broad thematic areas below: Mathematical and Physical Sciences; Environmental Sciences; Medical and Biological Sciences; Humanities, Arts and Social Sciences. Originating from these broad thematic areas, the journal also welcomes submissions of software that works in cross cutting thematic areas, such as citizen science, cybersecurity, digital economy, energy, global resource stewardship, health and wellbeing, etcetera. SoftwareX specifically aims to accept submissions representing domain-independent software that may impact more than one research domain.
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