Loading...
Loading...
Found 799 Skills
Design clear, accessible data visualizations with appropriate chart selection and styling.
Chart selection, data viz accessibility, and dashboard patterns. Use when building charts, graphs, or data dashboards.
Use when presenting data insights, creating infographics, or making complex information visual
Create publication figures with matplotlib/seaborn/plotly. Multi-panel layouts, error bars, significance markers, colorblind-safe, export PDF/EPS/TIFF, for journal-ready scientific plots.
Build PyGraphistry visualizations with bindings, encodings, layout controls, static export, and privacy-aware sharing. Use for color/size/icon/badge styling, layout tuning, map/static output, and plot link sharing workflows.
Use when designing dashboards, reports, and narratives for GTM stakeholders.
Create interactive chart visualizations (bar, line, pie) from data.
Professional data visualization creation using D3.js with support for interactive charts, custom visualizations, animations, and responsive design. Use for: (1) Creating custom interactive charts, (2) Building dashboards, (3) Network/graph visualizations, (4) Geographic data mapping, (5) Time series analysis, (6) Real-time data visualization, (7) Complex multi-dimensional data displays
Teaches the agent to produce D3 charts and interactive data visualizations. Useful for editorial dashboards, reports, and explanatory graphics.
Create publication-quality charts and graphs for economics papers.
Patterns for visualizing data on maps including choropleth maps, heat maps, 3D visualizations, data-driven styling, and animated data. Covers layer types, color scales, and performance optimization.
Create D3.js charts and interactive data visualizations. Use when building bar charts, line charts, scatter plots, pie charts, force-directed graphs, geographic maps, or any custom data visualization.