MerQur: An Integrated Platform for Academic Data Analysis and Reporting
DOI:
https://doi.org/10.53463/merqur.2026001Keywords:
statistical analysis, data science, academic reportingAbstract
MerQur is a multilingual (Turkish, English, Spanish) desktop platform for data analysis and reporting that enables academic researchers to perform advanced statistical analyses without writing code. Within a single graphical interface it offers more than 110 analyses organized under tab-based categories: descriptive statistics, parametric and non-parametric tests, correlation and association analyses, linear and generalized regression, machine-learning classification and clustering, dimensionality reduction, survival analysis, Bayesian methods, mixed models, categorical-data analyses, and spatial analyses in a dedicated map tab (kernel density, Moran’s I, Getis-Ord hot spots, spatial clustering). For each analysis the platform automatically runs assumption checks, reports appropriate effect sizes, produces publication-ready charts, and converts results into automated reports. MerQur is built upon open-source scientific Python libraries — including NumPy, pandas, SciPy, statsmodels, scikit-learn, PySAL, and GeoPandas — unifying these methods in an integrated, accessible interface that requires no programming or statistical-infrastructure expertise. Its aim is to accelerate the analytical workflow while preserving methodological rigor (assumption verification, effect sizes, multiple-comparison correction) and to facilitate reproducible academic reporting.
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