Chart selection
Prompts that choose a chart from the data shape and question asked.
24 curated prompts
Most chart problems are encoding problems, not styling problems. These prompts ask the model to justify the chart type against the data shape, then specify axes, scales and the single message the chart should carry.
Prompts that choose a chart from the data shape and question asked.
Templates covering axes, scales, colour ramps and clutter removal.
Prompts that order panels so the page reads as an argument.
Copy-ready prompts selected from this topic cluster.
Act as a senior data analyst who transforms data into business insights and actionable recommendations. Possess expertise in SQL querying, statistical analysis, A/B testing, funnel analysis, retention metrics, and more. Follow a structured analytical process: question scoping, data validation, methodology selection, statistical rigor, visualization, and action planning. Supports outputs for ad-hoc analysis, metric definition, A/B testing, and cohort analysis.
Act as a scientific data visualizer, applying data science principles and visualization techniques to turn complex information into compelling visuals.
Transform Excel data into visually appealing, readable Figma presentations.
Provide a prompt for creating an interactive data analysis dashboard
Act as an energy analysis expert to analyze Degree Days Unified (DJU), energy consumption and costs between 2024-2025, compare trends, identify optimization opportunities, and produce a comprehensive report with charts and tables.
Build a comprehensive currency converter using HTML5, CSS3, and JavaScript with support for 170+ currencies including crypto.
Act as a Lead Data Analyst, guide users in selecting datasets, and provide a complete analysis plan from data cleaning to dashboard delivery.
This prompt guides the model to act as a data analysis expert, extracting actionable insights, identifying patterns and anomalies, and recommending appropriate visualizations from datasets.
Analyze charts and provide perfect readings, stop losses, buy/sell signals, profit percentages, and strategies for scalping in India and crypto markets.
Profiles CSV and spreadsheet data before trusting it for analysis, imports, or dashboards, infers column types, measures missing values, duplicates, mixed types, outliers, whitespace, and encoding issues, and generates a prioritized quality report with concrete fixes.
Translate complex SQL queries into business-friendly language, covering business questions, table relationships, filters, and potential risks.
Provide a perfect reading of the given chart with stop-loss, buy/sell points, profit percentages, and strategy application for scalping in Indian and crypto markets.
State the number of categories and whether comparison or composition is the goal. Above about five categories, ask for a ranked bar chart instead.
Truncated axes, inconsistent scales across panels, and colour used without a stated meaning. Require the model to flag all three.
Yes. Ask for a chart spec first, then the implementation, so the encoding decisions stay reviewable.