Typora Markor Data Visualization Reports

Problem being solved

In many analysis workflows, the raw data already lives in CSV, JSON, or chat notes, but the final output still needs charts, metric cards, and a clean report. Plain model text can be hard to review or export. This skill focuses on turning that input into a Markdown report that works well in Typora, Markor, and PDF export.

Core capabilities and workflow

• Data input: accepts tables, text, JSON, CSV, or a built-in sample dataset, optionally with an analysis goal.
• Chart generation: uses matplotlib to create bar, line, and scatter charts, embedding them as base64 images to reduce dependency on external files.
• Report styling: produces Markdown with a blue theme, key-metric cards, striped HTML tables, and a Mermaid flowchart for readable previews and exports.
• Configuration: adjusts data source, chart type, column names, and titles through config.yaml, making report templates easy to reuse.

Boundaries and cautions

It is best suited to structured business data such as sales, market research, competitor comparison, and trend review. For complex statistical testing, live database queries, audit access control, or large-scale interactive analysis, use dedicated data engineering or BI tools first, then use this skill to shape the final presentation.