Design, Development, and Use of an Exploratory Data Analysis Tool

Abstract

Data science is a rapidly evolving field and is assuming an increasing role in both academia and industry. As we navigate this landscape, it becomes clear that effective tools are essential for optimizing data science workflows. One such tool holds great potential: Exploratory Data Analysis (EDA) tool. In this paper, we present the design, development, and use of an EDA tool integrated into the DaTu system—a data science educational platform designed to provide personalized guidance for students learning data science concepts. By integrating an EDA tool into the DaTu system, we aim to enhance student learning experiences and promote effective exploration of datasets. This research contributes to the ongoing efforts to develop innovative solutions that support productive data science education and research.