Prompts significantly enhance data visualization analysis when they are highly specific and context-rich, moving beyond simple requests to "visualize data." Effective prompts typically include the data's nature and source, the intended audience, and the primary objective of the analysis, such as identifying trends, comparing segments, or detecting anomalies. They should explicitly define the type of insights sought or the specific questions to be answered by the visualization, for instance, "Show me the correlation between X and Y" or "Highlight the top 5 performing regions." Asking for a particular chart type or suggesting different views, like "Present this as a time-series graph and also as a scatter plot," further refines the output and allows for multi-faceted exploration. Additionally, prompts that encourage iterative analysis or ask for critiques and improvements on an existing visualization ("What are three ways to make this chart clearer?") foster a deeper and more meaningful analytical process. More details: https://account.piranya.dk/users/authorize?client_id=client_26b86420-5e76-49a4-99ed-a69081aae076&response_type=code&prompt=consent&scope=openid+profile+deployment&redirect_uri=https://infok.com.ua