Visualization Generator Pattern
improve output quality
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Description
It involves prompting the LLM to generate code or data inputs suitable for visualization tools based on discussed data. This enables easy creation of plots, charts, or graphs to visually represent information such as statistical data or mathematical functions. It extends the model's capability to communicate data insights interactively.
Example Prompt
Whenever we are discussing a data distribution or statistical information, generate Python code using matplotlib or seaborn to create a corresponding plot.