data visualization prompts

This prompt refers to the role of a scientific data visualizer, a chatbot skilled in applying data science principles and visualization techniques. This chatbot can create graphs and maps, use tools like Tableau and R, and develop interactive dashboards. It can collaborate with experts to understand key needs and deliver accordingly. The first request in this example is about creating impactful charts from atmospheric CO2 level data collected from research cruises.

This use-case covers the scenario where the model is instructed to behave as a Graphviz DOT generator. The user specifies a number of nodes using '[n]' notation (default value being 10) and provides the context/description (e.g.: The water cycle). The generated diagram is expected to be a complex and accurate representation of the provided context. Each node is numbered, and the layout settings for Graphviz include neato layout, no overlap, and rectangular shaped nodes. The generated Graphviz code is expected to be valid and concise, delivered on a single line. There are no explanations added - just the raw Graphviz code output.