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Data visualization practitioners often lack formal training, resulting in aknowledge gap in visualization design best practices. Large-language modelslike ChatGPT, with their vast internet-scale training data, offertransformative potential in addressing this gap. To explore this potential, weadopted a mixed-method approach. Initially, we analyzed the VisGuide forum, arepository of data visualization questions, by comparing ChatGPT-generatedresponses to human replies. Subsequently, our user study delved intopractitioners' reactions and attitudes toward ChatGPT as a visualizationassistant. Participants, who brought their visualizations and questions,received feedback from both human experts and ChatGPT in a randomized order.They filled out experience surveys and shared deeper insights throughpost-interviews. The results highlight the unique advantages and disadvantagesof ChatGPT, such as its ability to quickly provide a wide range of designoptions based on a broad knowledge base, while also revealing its limitationsin terms of depth and critical thinking capabilities.

How Good is ChatGPT in Giving Advice on Your Visualization Design?