International Journal of Research in Engineering, Science and Management Volume 6, Issue 6, June 2023 https://www.ijresm.com | ISSN (Online): 2581-5792 *Corresponding author: agdheeba@gmail.com 153 Abstract: Chat technologies have gained significant attention in recent years due to their ability to automatically generate charts and graphs from raw data. These frameworks use manufactured insights (AI) and machine learning (ML) calculations to convert complex datasets into outwardly engaging visual representations. This paper provides a comprehensive review of the state-of-the-art in chatbot technologies, discussing their underlying techniques, applications, strengths, limitations, and future directions. Furthermore, we give a comparative analysis of a number of well- known Chatbot systems, emphasizing their salient characteristics and performance indicators. The findings of this review paper contribute to a better understanding of chatbot technologies and provide guidance for researchers, developers and end-users in this rapidly evolving field. Keywords: Automated chart generation systems, Chatbot technologies, Natural Language Processing, Data visualization, Data analysis, Artificial Intelligence, Machine Learning. 1. Introduction Information visualization could be a strong instrument that presents complicated information in a visual fashion to help in understanding and translation. In recent years, there has been a significant increase in the amount of data generated, making it increasingly important to effectively communicate and extract insights from this vast amount of information. This is where data visualization chatbots come into play. A data visualization chatbot is an intelligent program that combines the capabilities of a chatbot with data visualization techniques. It enables users to interact with data in a conversational manner and provides visual representations of the information in real-time. These chatbots can be included into a number of platforms, including websites, messaging apps, and business intelligence tools. One of the key advantages of data visualization chatbots is their ability to simplify complex data sets. They are able to turn plain data into insightful and understandable visualizations like maps, charts, and graphs. They assist users in spotting correlations, trends, and patterns that might otherwise go overlooked. For example, a sales manager can use a data visualization chatbot to analyse sales data and quickly identify which products are performing well in specific regions. In addition, data visualization the interactive nature of chatbots enables users to dig deeper into the data and discover new insights. Users can ask questions, filter and sort data, and even manipulate visualizations to better understand the underlying patterns. This level of interactivity fosters a more engaging and immersive data exploration process, enabling users to make data-driven decisions more effectively. Another important aspect of data visualization chatbots is their ability to deliver real-time data updates. By connecting to live data sources or integrating with data pipelines, these chatbots ensure that the visualizations are always up-to-date. This is particularly useful in scenarios where data is constantly changing, such as financial markets or social media analytics. Users can receive real-time insights and react promptly to changing conditions, improving their decision-making processes. Additionally, data visualization chatbots can be customized to meet the unique requirements and tastes of different users. They can offer customizable dashboards, allowing users to choose the types of visualizations they want to see and the metrics they want to track. This flexibility ensures that users get the most relevant and actionable insights from their data, tailored to their specific requirements. The implementation of data visualization chatbots also promotes data democratization within organizations. These chatbots empower non-technical users to interact with data and gain insights without requiring advanced data analysis skills. This reduces the dependency on data analysts or IT departments, enabling individuals from various departments to independently access and explore data in a self-service manner. As a result, decision-making processes become faster and more data-driven across the organization. A. Literature Review The use of chatbot technologies has gained significant attention in recent years due to their potential for automated chart generation and analysis. Researchers have explored various approaches to enhance the capabilities of chatbots in understanding and generating charts from natural language queries. This review examines several studies that contribute to the advancements in this field. Liu, S., Zhong, Z., and Zhu, L. Chatbot Technologies: A Comprehensive Review of Automated Chart Generation Systems A. Ramalingam 1 , A. Karunamurthy 2 , A. Dheeba 3* , R. Suruthi 4 1 Professor, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, India 2 Associate Professor, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, India 3,4 Student, Department of Master Computer Application, Sri Manakula Vinayagar Engineering College, Pondicherry, India