Easy Prompt

24 curated prompts

Data Visualization 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.

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Copy-ready prompts selected from this topic cluster.

TextData Analysis

Senior Data Analyst: Translating Data into Business Insights and Actionable Recommendations

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.

TextData Analysis

CSV Data Quality Profiler

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.

How do I stop the model suggesting a pie chart for everything?

State the number of categories and whether comparison or composition is the goal. Above about five categories, ask for a ranked bar chart instead.

What makes a chart misleading?

Truncated axes, inconsistent scales across panels, and colour used without a stated meaning. Require the model to flag all three.

Can these prompts write chart code?

Yes. Ask for a chart spec first, then the implementation, so the encoding decisions stay reviewable.