10.64886/oajea.0102.007

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Abstract: Exploratory Data Analysis (EDA) is a critical first step in any data science workflow, yet existing tools often require software installation, programming knowledge, or lack comprehensive statistical testing capabilities. We present **EDA-Pro**, a browser-based automated system for exploratory numerical data analysis that integrates descriptive statistics, hypothesis testing, time series analysis, data transformation, and AI-powered insight generation in a unified interface. Unlike existing tools such as pandas-profiling and Sweetviz, EDA-Pro operates entirely client-side without server dependencies, supports up to 50MB datasets, and provides publication-ready HTML reports with statistical rigor. The system includes 20+ analytical modules covering univariate/bivariate/multivariate analysis, seven hypothesis tests (Shapiro-Wilk, ANOVA, Chi-Square, Kolmogorov-Smirnov, independent/paired t-tests), bootstrap confidence intervals, multiple regression, and automated data quality assessment. Comparative evaluation demonstrates 35\% faster workflow completion compared to Python-based alternatives for standard EDA tasks, with no installation overhead. EDA-Pro is freely available as open-source software, making advanced statistical analysis accessible to researchers, students, and practitioners without programming expertise.