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Data Report Generator

Data Analysis Updated 2026.08.30

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About this skill

Problem addressed

When analysts already have a small set of structured metrics but still need a deliverable HTML report, manually assembling charts, narrative conclusions, and layout can consume disproportionate time.

How it works

The Data Report Generator accepts report_title, analyze_data, analyze_target, report_style, and author, then renders dictionary-like metric data into a single-page HTML report. The main steps are:
- Automatic chart selection: choose a pie, line, or bar chart based on the data shape and render it with Chart.js.
- Generated narrative: derive core conclusions, data insights, and optimization suggestions from maximum, minimum, and total values.
- Style templates: apply built-in “business formal”, “clean”, or “visualization-focused” templates that affect color, card style, and heading style.
- Export a viewable file: produce data_report.html by default, including the chart, analysis paragraphs, and raw data details.

Boundaries and caveats

This capability is best suited to scenarios where metric names and values are already clear, such as quarterly sales review, user growth analysis, or business efficiency evaluation. It does not perform data cleaning, missing-value handling, or complex statistical modeling. If analyze_data contains two-dimensional, nested, or mixed-unit data, flatten it into a simple metric dictionary first. The generated output is template-driven, so deep causal reasoning, business interpretation, and strategic judgment still require analyst input.

Use Cases

  • Operations receives weekly sales metrics and needs a shareable HTML report showing metric comparisons plus core conclusions.
  • Product analyzes quarterly user growth data and needs a clean-style recap page with a chart and insight text.
  • A data analyst evaluates business efficiency metrics and needs max, min, and total values converted into recommendations.
  • A business lead presents quarterly results and needs a single HTML file with chart, data details, and suggestions.

Best For

  • Operations owners who handle monthly business reviews and need to turn cleaned metrics into an HTML report with charts.
  • Product managers analyzing user growth who need a shareable analysis page with conclusions and recommendations.
  • Data analysts preparing business-efficiency reviews who want metric comparisons, insights, and details in one report.
  • Business leads presenting quarterly results who need a single openable HTML file as presentation material.