XeroGraph: enhancing data integrity in the presence of missing values with statistical and predictive analysis

Abstract

The XeroGraph library provides a straightforward workflow, enabling users to analyze and manage missing data through intuitive steps. The process involves initializing the library with the dataset, performing exploratory data analysis, applying imputation methods, and evaluating the results. Comprehensive documentation and examples are available at XeroGraph Documentation ([https://xerograph.readthedocs.io]()). To begin, users initialize the XeroGraph analyzer with their dataset. This step creates an instance of the XeroAnalyzer object, which serves as the central point for data exploration an