A number of weeks again, I wrote an article about How to Build an AI Agent for Data Analytics Without Writing SQL. The weblog demonstrates the capabilities of LLM and AI brokers. It’s exceptional to look at that LLM comprehends the inquiry with such precision, and with the supplementary schema it has been supplied with, it’s able to composing an executable SQL assertion that produces the suitable final result. Can we increase it to LLM for Information Visualization?
In quite a few situations, information analytics extends past textual summaries of findings; notably in Exploratory Information Evaluation (EDA), information visualisation is important. I’ll broaden the scope of the AI Agent’s capabilities on this weblog submit. Along with its capacity to generate SQL, I’ll enhance its capacity to generate information visualisation code in seaborn and plotly and return the chart as the ultimate output.
