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How Effectively Do LLMs Automate Data Analysis? A Comparative Study with ChatGPT's Data Analyst, Grok, and Qwen
0
Zitationen
4
Autoren
2026
Jahr
Abstract
<p class="p1">Artificial Intelligence (AI) tools are increasingly becoming integral to analytical processes. This paper evaluates the potential of Large Language Models (LLMs), specifically OpenAI’s ChatGPT’s Data Analyst, Grok 3, and Qwen2.5-Max in data analysis. We conducted a structured experiment employing this tool in 108 questions spanning descriptive, diagnostic, predictive, and prescriptive analyses to assess its effectiveness. The study revealed an overall efficiency rate of 72.22% for ChatGPT’s Data Analyst, outperforming Grok 3 at 45.37% and Qwen-Max 2.5 at 8.33%. By discussing the strengths and limitations of a state-of-the-art LLM-based tool in aiding data scientists, this study aims to mark a critical milestone for future developments in the field, particularly as a reference for the open-source community.</p>
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