Exploratory Data Analysis Possibility in the Meaning Space Using Large Language Models

Abstract

Today, data analysis plays a key role in studying and using large amounts of information to make informed decisions. Thus data is one of the most valuable resources and analytical tools are becoming increasingly important. Data analysis allows us to identify patterns and relationships between different factors. As for the methods of analysis, they are very diverse and depend on the specific task and the nature of the data, each method has its advantages and limitations, and the choice of a particular one depends on the context.Recent investigations have proved that LLM showed good results in textual information analysis and might be one of the textual analytical tools. Therefore, the main focus of our research is centred around the ability of LLM to perform data interpretation operations, arithmetic and statistical operations in the meaning space. In the evaluation of the proposed concepts, simple cases were considered. It was enough to better understand the effectiveness of LLM as one of the tools for exploratory data analysis.The practical results of the research indicate that the concept has some advantages over the closest analogues, as well as identify several scientific problems that can be solved in subsequent studies. Additionally, research tools were developed as a chatbot system in the Telegram environment.