A recent exploration into the capabilities of Language Model Learning (LLM) and AI agents has revealed their potential to revolutionize data analytics. Previously, these AI systems could generate SQL queries with 95% accuracy when provided with the right schema. Now, the scope has expanded to include data visualization. AI agents are being enhanced to not only produce SQL but also to create visualization code using libraries like seaborn and plotly. This development means that AI can now deliver charts directly as outputs, enhancing the process of Exploratory Data Analysis (EDA). This advancement in AI’s ability to handle both data querying and visualization signifies a major step forward in making data analytics more accessible and efficient.
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