  The exponential growth of data has outpaced human ability to process
information, necessitating innovative approaches for effective human-data
interaction. To transform raw data into meaningful insights, storytelling, and
visualization have emerged as powerful techniques for communicating complex
information to decision-makers. This article offers a comprehensive, systematic
review of the utilization of storytelling in visualizations. It organizes the
existing literature into distinct categories, encompassing frameworks, data and
visualization types, application domains, narrative structures, outcome
measurements, and design principles. By providing a well-structured overview of
this rapidly evolving field, the article serves as a valuable guide for
educators, researchers, and practitioners seeking to harness the power of
storytelling in data visualization.
