Data work in 2026 asks for more than chart building. Professionals are expected to clean data, query databases, explain trends, and present findings clearly across business, finance, product, and ...

Abstract: In data analysis, a significant amount of erroneous or incomplete data can hinder informed organizational decisions prompting the need for automated data cleaning. Leveraging successful ...

Abstract: The data of the distribution network has the characteristics of multi-source and heterogeneity, and is often accompanied by problems such as noise, missing values, and outliers, which ...