10.64886/oajea.0102.001

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Abstract: The Internet of Things (IoT) has revolutionized the way physical objects interact with digital systems, creating a seamlessly connected environment across various domains. This paper presents a comprehensive overview of modern IoT devices, focusing on their classification, core features, and emerging trends. It examines the technical architecture, connectivity protocols, sensing and communication capabilities, and application-specific design considerations of IoT devices. Furthermore, the study highlights their roles in smart homes, healthcare, agriculture, industrial automation, and environmental monitoring. The paper also addresses critical challenges such as interoperability, security, scalability, and energy efficiency. Finally, future research directions and technological advancements are discussed to provide a holistic understanding of the evolving landscape of IoT systems.

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.